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Tenncor +
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README.md File Reference
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Tenncor +
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ade/README_ADE.md File Reference
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Tenncor +
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int main (int argc, char **argv)
 
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std::shared_ptr< TestLogger > tlogger = std::make_shared<TestLogger>()
 
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 ▼Nade
 CCoordMap
 CDefLoggerDefault implementation of iLogger used in ADE
 CFunctorFunctor of the graph mapping to operators specified by opcode argument
 CiCoordMapInterface for transforming coordinates and reversing the coordinate
 CiFunctorInterface of OPCODE-defined operation node
 CiLoggerInterface of logger used in ADE
 CiTensorInterface of traversible and differentiable nodes with shape information
 CiTravelerInterface to travel through graph, treating Tensor and iFunctor differently
 CPathFinder
 CShape
 CTensorLeaf of the graph commonly representing the variable in an equation
 CTensorptrSmart pointer to iTensor ensuring non-null references
 ▼Nllo
 CDataNode
 CEvalCtxContext used to associate ade nodes to llo nodes under a particular graph
 CEvaluator
 CExecuter
 CExecuter< ade::COPY, T >
 CExecuter< ade::RAND_BINO, T >
 CGenericDataGenericData for holding data when passing up the tensor graph
 CGenericRef
 CGraphStat
 CiSourceInterface for leaves with tensor data
 CPlaceHolderDataNode of a leaf that can be assignable by data vectors
 CSourceLeaf evaluable holding tensor data
 CVecRef
 CAPI
 CCOORD
 CDTYPE
 CFUNCTOR
 CLOG
 CNODE
 CREGRESS
 CSHAPE
 CTENSOR
 CTestLogger
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 llo
 
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DataNode llo::one (ade::Shape shape)
 Returns DataNode with SYMBOLIC_ONE extended to input shape. More...
 
DataNode llo::abs (DataNode arg)
 Element-wise absolute operation. More...
 
DataNode llo::neg (DataNode arg)
 Element-wise negative operation. More...
 
DataNode llo::sin (DataNode arg)
 Element-wise sine operation. More...
 
DataNode llo::cos (DataNode arg)
 Element-wise cosine operation. More...
 
DataNode llo::tan (DataNode arg)
 Element-wise tangent operation. More...
 
DataNode llo::exp (DataNode arg)
 Element-wise exponent operation. More...
 
DataNode llo::log (DataNode arg)
 Element-wise natural log operation. More...
 
DataNode llo::sqrt (DataNode arg)
 Element-wise square root operation. More...
 
DataNode llo::round (DataNode arg)
 Element-wise round operation. More...
 
DataNode llo::flip (DataNode arg, uint8_t dim)
 Flip values of arg along specified dimension. More...
 
DataNode llo::pow (DataNode a, DataNode b)
 Element-wise operation: base ^ exponent. More...
 
DataNode llo::add (DataNode a, DataNode b)
 Element-wise operation: a + b. More...
 
DataNode llo::sum (std::vector< DataNode > args)
 Get Element-wise sum of args. More...
 
DataNode llo::sub (DataNode a, DataNode b)
 Element-wise operation: a - b. More...
 
DataNode llo::mul (DataNode a, DataNode b)
 Element-wise operation: a///b. More...
 
DataNode llo::prod (std::vector< DataNode > args)
 Get Element-wise product of args. More...
 
DataNode llo::div (DataNode a, DataNode b)
 Element-wise operation: a / b. More...
 
DataNode llo::eq (DataNode a, DataNode b)
 Element-wise operation: a == b. More...
 
DataNode llo::neq (DataNode a, DataNode b)
 Element-wise operation: a != b. More...
 
DataNode llo::lt (DataNode a, DataNode b)
 Element-wise operation: a < b. More...
 
DataNode llo::gt (DataNode a, DataNode b)
 Element-wise operation: a > b. More...
 
DataNode llo::min (std::vector< DataNode > args)
 Get Element-wise minimum of args. More...
 
DataNode llo::max (std::vector< DataNode > args)
 Get Element-wise maximum of args. More...
 
DataNode llo::clip (DataNode x, DataNode lo, DataNode hi)
 
DataNode llo::rand_binom (DataNode ntrials, DataNode prob)
 Generate random numbers according to std::binomial_distribution(a, b) More...
 
DataNode llo::rand_uniform (DataNode lower, DataNode upper)
 Generate random numbers according to std::uniform_distributon(a, b) More...
 
DataNode llo::rand_normal (DataNode mean, DataNode stdev)
 Generate random numbers according to std::normal_distribution(a, b) More...
 
DataNode llo::n_elems (DataNode arg)
 Get n_elem of input shape as value. More...
 
DataNode llo::n_dims (DataNode arg, uint8_t dim)
 Get value at specified dimension of input shape. More...
 
DataNode llo::reduce_max (DataNode arg)
 Get the max value. More...
 
DataNode llo::reduce_max (DataNode arg, uint8_t groupidx)
 Apply reduce_max to elements of coordinate range [groupidx:]. More...
 
DataNode llo::reduce_sum (DataNode arg)
 Get the sum of all values. More...
 
DataNode llo::reduce_sum (DataNode arg, uint8_t groupidx)
 Apply reduce_sum to elements of coordinate range [groupidx:]. More...
 
DataNode llo::permute (DataNode arg, std::vector< uint8_t > order)
 
DataNode llo::extend (DataNode arg, uint8_t after, std::vector< uint8_t > ext)
 
DataNode llo::matmul (DataNode a, DataNode b)
 
DataNode llo::convolute (DataNode canvas, DataNode window)
 
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Go to the source code of this file.

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 llo
 
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#define LLO_API_HPP
 
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DataNode llo::one (ade::Shape shape)
 Returns DataNode with SYMBOLIC_ONE extended to input shape. More...
 
DataNode llo::abs (DataNode arg)
 Element-wise absolute operation. More...
 
DataNode llo::neg (DataNode arg)
 Element-wise negative operation. More...
 
DataNode llo::sin (DataNode arg)
 Element-wise sine operation. More...
 
DataNode llo::cos (DataNode arg)
 Element-wise cosine operation. More...
 
DataNode llo::tan (DataNode arg)
 Element-wise tangent operation. More...
 
DataNode llo::exp (DataNode arg)
 Element-wise exponent operation. More...
 
DataNode llo::log (DataNode arg)
 Element-wise natural log operation. More...
 
DataNode llo::sqrt (DataNode arg)
 Element-wise square root operation. More...
 
DataNode llo::round (DataNode arg)
 Element-wise round operation. More...
 
DataNode llo::flip (DataNode arg, uint8_t dim)
 Flip values of arg along specified dimension. More...
 
DataNode llo::pow (DataNode a, DataNode b)
 Element-wise operation: base ^ exponent. More...
 
DataNode llo::add (DataNode a, DataNode b)
 Element-wise operation: a + b. More...
 
DataNode llo::sum (std::vector< DataNode > args)
 Get Element-wise sum of args. More...
 
DataNode llo::sub (DataNode a, DataNode b)
 Element-wise operation: a - b. More...
 
DataNode llo::mul (DataNode a, DataNode b)
 Element-wise operation: a///b. More...
 
DataNode llo::prod (std::vector< DataNode > args)
 Get Element-wise product of args. More...
 
DataNode llo::div (DataNode a, DataNode b)
 Element-wise operation: a / b. More...
 
DataNode llo::eq (DataNode a, DataNode b)
 Element-wise operation: a == b. More...
 
DataNode llo::neq (DataNode a, DataNode b)
 Element-wise operation: a != b. More...
 
DataNode llo::lt (DataNode a, DataNode b)
 Element-wise operation: a < b. More...
 
DataNode llo::gt (DataNode a, DataNode b)
 Element-wise operation: a > b. More...
 
DataNode llo::min (std::vector< DataNode > args)
 Get Element-wise minimum of args. More...
 
DataNode llo::max (std::vector< DataNode > args)
 Get Element-wise maximum of args. More...
 
DataNode llo::clip (DataNode x, DataNode lo, DataNode hi)
 
DataNode llo::rand_binom (DataNode ntrials, DataNode prob)
 Generate random numbers according to std::binomial_distribution(a, b) More...
 
DataNode llo::rand_uniform (DataNode lower, DataNode upper)
 Generate random numbers according to std::uniform_distributon(a, b) More...
 
DataNode llo::rand_normal (DataNode mean, DataNode stdev)
 Generate random numbers according to std::normal_distribution(a, b) More...
 
DataNode llo::n_elems (DataNode arg)
 Get n_elem of input shape as value. More...
 
DataNode llo::n_dims (DataNode arg, uint8_t dim)
 Get value at specified dimension of input shape. More...
 
DataNode llo::reduce_max (DataNode arg)
 Get the max value. More...
 
DataNode llo::reduce_max (DataNode arg, uint8_t groupidx)
 Apply reduce_max to elements of coordinate range [groupidx:]. More...
 
DataNode llo::reduce_sum (DataNode arg)
 Get the sum of all values. More...
 
DataNode llo::reduce_sum (DataNode arg, uint8_t groupidx)
 Apply reduce_sum to elements of coordinate range [groupidx:]. More...
 
DataNode llo::permute (DataNode arg, std::vector< uint8_t > order)
 
DataNode llo::extend (DataNode arg, uint8_t after, std::vector< uint8_t > ext)
 
DataNode llo::matmul (DataNode a, DataNode b)
 
+

Macro Definition Documentation

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◆ LLO_API_HPP

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#define LLO_API_HPP
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api.hpp llo

+

Purpose: Define API to easily build equations

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1 
9 #include "llo/node.hpp"
10 
11 #ifndef LLO_API_HPP
12 #define LLO_API_HPP
13 
14 namespace llo
15 {
16 
18 DataNode one (ade::Shape shape);
19 
21 DataNode abs (DataNode arg);
22 
24 DataNode neg (DataNode arg);
25 
27 DataNode sin (DataNode arg);
28 
30 DataNode cos (DataNode arg);
31 
33 DataNode tan (DataNode arg);
34 
36 DataNode exp (DataNode arg);
37 
39 DataNode log (DataNode arg);
40 
42 DataNode sqrt (DataNode arg);
43 
45 DataNode round (DataNode arg);
46 
48 DataNode flip (DataNode arg, uint8_t dim);
49 
51 DataNode pow (DataNode a, DataNode b);
52 
54 DataNode add (DataNode a, DataNode b);
55 
57 DataNode sum (std::vector<DataNode> args);
58 
60 DataNode sub (DataNode a, DataNode b);
61 
63 DataNode mul (DataNode a, DataNode b);
64 
66 DataNode prod (std::vector<DataNode> args);
67 
69 DataNode div (DataNode a, DataNode b);
70 
72 DataNode eq (DataNode a, DataNode b);
73 
75 DataNode neq (DataNode a, DataNode b);
76 
78 DataNode lt (DataNode a, DataNode b);
79 
81 DataNode gt (DataNode a, DataNode b);
82 
84 DataNode min (std::vector<DataNode> args);
85 
87 DataNode max (std::vector<DataNode> args);
88 
91 DataNode clip (DataNode x, DataNode lo, DataNode hi);
92 
94 DataNode rand_binom (DataNode ntrials, DataNode prob);
95 
97 DataNode rand_uniform (DataNode lower, DataNode upper);
98 
100 DataNode rand_normal (DataNode mean, DataNode stdev);
101 
103 DataNode n_elems (DataNode arg);
104 
106 DataNode n_dims (DataNode arg, uint8_t dim);
107 
109 DataNode reduce_max (DataNode arg);
110 
112 DataNode reduce_max (DataNode arg, uint8_t groupidx);
113 
115 DataNode reduce_sum (DataNode arg);
116 
118 DataNode reduce_sum (DataNode arg, uint8_t groupidx);
119 
123 DataNode permute (DataNode arg, std::vector<uint8_t> order);
124 
127 DataNode extend (DataNode arg, uint8_t after, std::vector<uint8_t> ext);
128 
131 DataNode matmul (DataNode a, DataNode b);
132 
133 // // NOT IMPLEMENTED
134 // DataNode convolute (DataNode canvas, DataNode window);
135 
136 }
137 
138 #endif // LLO_API_HPP
llo::div
DataNode div(DataNode a, DataNode b)
Element-wise operation: a / b.
Definition: api.cpp:127
+
llo::eq
DataNode eq(DataNode a, DataNode b)
Element-wise operation: a == b.
Definition: api.cpp:136
+
llo::neq
DataNode neq(DataNode a, DataNode b)
Element-wise operation: a != b.
Definition: api.cpp:145
+
llo::clip
DataNode clip(DataNode x, DataNode lo, DataNode hi)
Definition: api.cpp:196
+
llo::add
DataNode add(DataNode a, DataNode b)
Element-wise operation: a + b.
Definition: api.cpp:84
+
llo::exp
DataNode exp(DataNode arg)
Element-wise exponent operation.
Definition: api.cpp:45
+
llo::flip
DataNode flip(DataNode arg, uint8_t dim)
Flip values of arg along specified dimension.
Definition: api.cpp:69
+
llo::tan
DataNode tan(DataNode arg)
Element-wise tangent operation.
Definition: api.cpp:39
+
llo::rand_normal
DataNode rand_normal(DataNode mean, DataNode stdev)
Generate random numbers according to std::normal_distribution(a, b)
Definition: api.cpp:219
+
llo::lt
DataNode lt(DataNode a, DataNode b)
Element-wise operation: a < b.
Definition: api.cpp:154
+
llo::sqrt
DataNode sqrt(DataNode arg)
Element-wise square root operation.
Definition: api.cpp:57
+
llo::n_elems
DataNode n_elems(DataNode arg)
Get n_elem of input shape as value.
Definition: api.cpp:228
+
llo::prod
DataNode prod(std::vector< DataNode > args)
Get Element-wise product of args.
Definition: api.cpp:115
+
llo::n_dims
DataNode n_dims(DataNode arg, uint8_t dim)
Get value at specified dimension of input shape.
Definition: api.cpp:233
+
llo::neg
DataNode neg(DataNode arg)
Element-wise negative operation.
Definition: api.cpp:21
+
llo::cos
DataNode cos(DataNode arg)
Element-wise cosine operation.
Definition: api.cpp:33
+
llo::one
DataNode one(ade::Shape shape)
Returns DataNode with SYMBOLIC_ONE extended to input shape.
Definition: api.cpp:10
+
llo::permute
DataNode permute(DataNode arg, std::vector< uint8_t > order)
Definition: api.cpp:264
+
llo::max
DataNode max(std::vector< DataNode > args)
Get Element-wise maximum of args.
Definition: api.cpp:184
+
llo::mul
DataNode mul(DataNode a, DataNode b)
Element-wise operation: a///b.
Definition: api.cpp:110
+
llo::reduce_sum
DataNode reduce_sum(DataNode arg)
Get the sum of all values.
Definition: api.cpp:251
+
llo::rand_binom
DataNode rand_binom(DataNode ntrials, DataNode prob)
Generate random numbers according to std::binomial_distribution(a, b)
Definition: api.cpp:201
+
llo::extend
DataNode extend(DataNode arg, uint8_t after, std::vector< uint8_t > ext)
Definition: api.cpp:270
+
llo::reduce_max
DataNode reduce_max(DataNode arg)
Get the max value.
Definition: api.cpp:238
+
ade::Shape
Definition: shape.hpp:51
+
llo::gt
DataNode gt(DataNode a, DataNode b)
Element-wise operation: a > b.
Definition: api.cpp:163
+
llo::rand_uniform
DataNode rand_uniform(DataNode lower, DataNode upper)
Generate random numbers according to std::uniform_distributon(a, b)
Definition: api.cpp:210
+
llo::sub
DataNode sub(DataNode a, DataNode b)
Element-wise operation: a - b.
Definition: api.cpp:101
+ +
llo
Definition: api.hpp:14
+
llo::round
DataNode round(DataNode arg)
Element-wise round operation.
Definition: api.cpp:63
+
llo::DataNode
Definition: eval.hpp:132
+
llo::pow
DataNode pow(DataNode a, DataNode b)
Element-wise operation: base ^ exponent.
Definition: api.cpp:75
+
llo::abs
DataNode abs(DataNode arg)
Element-wise absolute operation.
Definition: api.cpp:15
+
llo::sin
DataNode sin(DataNode arg)
Element-wise sine operation.
Definition: api.cpp:27
+
llo::sum
DataNode sum(std::vector< DataNode > args)
Get Element-wise sum of args.
Definition: api.cpp:89
+
llo::min
DataNode min(std::vector< DataNode > args)
Get Element-wise minimum of args.
Definition: api.cpp:172
+
llo::matmul
DataNode matmul(DataNode a, DataNode b)
Definition: api.cpp:276
+
llo::log
DataNode log(DataNode arg)
Element-wise natural log operation.
Definition: api.cpp:51
+
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  a  
+		Evaluator (llo)   
  i  
+
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+		TENSOR   
Executer (llo)   Tensorptr (ade)   
API   Executer< ade::COPY, T > (llo)   iCoordMap (ade)   PathFinder (ade)   TestLogger   
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+		Executer< ade::RAND_BINO, T > (llo)   iFunctor (ade)   PlaceHolder (llo)   
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+		iLogger (ade)   
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COORD   iSource (llo)   VecRef (llo)   
CoordMap (ade)   Functor (ade)   iTensor (ade)   REGRESS   
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struct  TestLogger
 
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std::shared_ptr< TestLogger > tlogger
 
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1 #include "ade/log/log.hpp"
2 
3 struct TestLogger : public ade::iLogger
4 {
5  static std::string latest_warning_;
6  static std::string latest_error_;
7  static std::string latest_fatal_;
8 
9  void warn (std::string msg) const override
10  {
11  latest_warning_ = msg;
12  }
13 
14  void error (std::string msg) const override
15  {
16  latest_error_ = msg;
17  }
18 
19  void fatal (std::string msg) const override
20  {
21  latest_fatal_ = msg;
22  }
23 };
24 
25 extern std::shared_ptr<TestLogger> tlogger;
TestLogger::fatal
void fatal(std::string msg) const override
Notify user of message regarding fatal error, then finish him.
Definition: common.hpp:19
+
TestLogger::latest_error_
static std::string latest_error_
Definition: common.hpp:6
+
TestLogger::latest_warning_
static std::string latest_warning_
Definition: common.hpp:5
+
ade::iLogger
Interface of logger used in ADE.
Definition: log.hpp:21
+
TestLogger::warn
void warn(std::string msg) const override
Warn user of message regarding poor decisions.
Definition: common.hpp:9
+
TestLogger::latest_fatal_
static std::string latest_fatal_
Definition: common.hpp:7
+
TestLogger::error
void error(std::string msg) const override
Notify user of message regarding recoverable error.
Definition: common.hpp:14
+
tlogger
std::shared_ptr< TestLogger > tlogger
Definition: main.cpp:11
+
TestLogger
Definition: common.hpp:3
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+ + diff --git a/docs/coord_8cpp.html b/docs/coord_8cpp.html new file mode 100644 index 000000000..8a9886f19 --- /dev/null +++ b/docs/coord_8cpp.html @@ -0,0 +1,83 @@ + + + + + + + +Tenncor: ade/src/coord.cpp File Reference + + + + + + + + + +
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+#include "ade/log/log.hpp"
+#include "ade/coord.hpp"
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struct  ade::iCoordMap
 Interface for transforming coordinates and reversing the coordinate. More...
 
struct  ade::CoordMap
 
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 ade
 
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#define ADE_COORD_HPP
 
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using ade::CoordPtrT = std::shared_ptr< iCoordMap >
 Type of iCoordMap smartpointer. More...
 
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Shape ade::map_shape (CoordPtrT &mapper, const Shape &shape)
 Return transformed shape according to coordinate mapper on input shape. More...
 
CoordPtrT ade::reduce (uint8_t rank, std::vector< DimT > red)
 
CoordPtrT ade::extend (uint8_t rank, std::vector< DimT > ext)
 
CoordPtrT ade::permute (std::vector< uint8_t > order)
 
CoordPtrT ade::flip (uint8_t dim)
 
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CoordPtrT ade::identity
 Identity matrix instance. More...
 
+

Macro Definition Documentation

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◆ ADE_COORD_HPP

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#define ADE_COORD_HPP
+
+

coord.hpp ade

+

Purpose: Define shape/coordinate transformation functions

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1 
9 #include <cstring>
10 #include <functional>
11 
12 #include "ade/shape.hpp"
13 #include "ade/matops.hpp"
14 
15 #ifndef ADE_COORD_HPP
16 #define ADE_COORD_HPP
17 
18 namespace ade
19 {
20 
22 struct iCoordMap
23 {
24  virtual ~iCoordMap (void) = default;
25 
27  virtual void forward (CoordT::iterator out,
28  CoordT::const_iterator in) const = 0;
29 
31  virtual void backward (CoordT::iterator out,
32  CoordT::const_iterator in) const = 0;
33 
36  virtual iCoordMap* reverse (void) const = 0;
37 
39  virtual std::string to_string (void) const = 0;
40 
43  virtual void access (std::function<void(const MatrixT&)> cb) const = 0;
44 };
45 
48 struct CoordMap final : public iCoordMap
49 {
50  CoordMap (std::function<void(MatrixT)> init)
51  {
52  std::memset(fwd_, 0, mat_size);
53  fwd_[rank_cap][rank_cap] = 1;
54  init(fwd_);
55  inverse(bwd_, fwd_);
56  }
57 
59  void forward (CoordT::iterator out,
60  CoordT::const_iterator in) const override;
61 
63  void backward (CoordT::iterator out,
64  CoordT::const_iterator in) const override;
65 
67  iCoordMap* reverse (void) const override
68  {
69  return new CoordMap(bwd_, fwd_);
70  }
71 
73  std::string to_string (void) const override
74  {
75  return ade::to_string(fwd_);
76  }
77 
79  void access (std::function<void(const MatrixT&)> cb) const override
80  {
81  cb(fwd_);
82  }
83 
84 private:
85  CoordMap (const MatrixT fwd, const MatrixT bwd)
86  {
87  std::memcpy(fwd_, fwd, mat_size);
88  std::memcpy(bwd_, bwd, mat_size);
89  }
90 
92  MatrixT fwd_;
93 
95  MatrixT bwd_;
96 };
97 
99 using CoordPtrT = std::shared_ptr<iCoordMap>;
100 
102 extern CoordPtrT identity;
103 
105 Shape map_shape (CoordPtrT& mapper, const Shape& shape);
106 
111 CoordPtrT reduce (uint8_t rank, std::vector<DimT> red);
112 
117 CoordPtrT extend (uint8_t rank, std::vector<DimT> ext);
118 
127 CoordPtrT permute (std::vector<uint8_t> order);
128 
132 CoordPtrT flip (uint8_t dim);
133 
134 }
135 
136 #endif // ADE_COORD_HPP
ade::identity
CoordPtrT identity
Identity matrix instance.
+
ade::iCoordMap::forward
virtual void forward(CoordT::iterator out, CoordT::const_iterator in) const =0
Forward transform coordinates.
+
ade::iCoordMap::~iCoordMap
virtual ~iCoordMap(void)=default
+
ade::rank_cap
const uint8_t rank_cap
Number of dimsensions in a shape/coordinate.
Definition: shape.hpp:36
+
ade::iCoordMap::to_string
virtual std::string to_string(void) const =0
Return string representation of coordinate transformer.
+
ade::extend
CoordPtrT extend(uint8_t rank, std::vector< DimT > ext)
+
ade::CoordPtrT
std::shared_ptr< iCoordMap > CoordPtrT
Type of iCoordMap smartpointer.
Definition: coord.hpp:99
+
ade::CoordMap::bwd_
MatrixT bwd_
Inverse of the forward transformation matrix.
Definition: coord.hpp:95
+
ade::CoordMap::access
void access(std::function< void(const MatrixT &)> cb) const override
Implementation of iCoordMap.
Definition: coord.hpp:79
+
ade::CoordMap::CoordMap
CoordMap(std::function< void(MatrixT)> init)
Definition: coord.hpp:50
+
ade::reduce
CoordPtrT reduce(uint8_t rank, std::vector< DimT > red)
+ +
ade::iCoordMap::access
virtual void access(std::function< void(const MatrixT &)> cb) const =0
+
ade::CoordMap::backward
void backward(CoordT::iterator out, CoordT::const_iterator in) const override
Implementation of iCoordMap.
+
ade::map_shape
Shape map_shape(CoordPtrT &mapper, const Shape &shape)
Return transformed shape according to coordinate mapper on input shape.
+
ade::mat_size
const size_t mat_size
Number of bytes in a homogeneous matrix.
Definition: matops.hpp:22
+
ade::iCoordMap
Interface for transforming coordinates and reversing the coordinate.
Definition: coord.hpp:22
+
ade::MatrixT
double[mat_dim][mat_dim] MatrixT
Coordinate transformation matrix (using homogeneous)
Definition: matops.hpp:25
+ +
ade
Definition: coord.hpp:18
+
ade::CoordMap
Definition: coord.hpp:48
+
ade::CoordMap::to_string
std::string to_string(void) const override
Implementation of iCoordMap.
Definition: coord.hpp:73
+
ade::permute
CoordPtrT permute(std::vector< uint8_t > order)
+
ade::CoordMap::forward
void forward(CoordT::iterator out, CoordT::const_iterator in) const override
Implementation of iCoordMap.
+
ade::CoordMap::reverse
iCoordMap * reverse(void) const override
Implementation of iCoordMap.
Definition: coord.hpp:67
+
ade::iCoordMap::reverse
virtual iCoordMap * reverse(void) const =0
+
ade::iCoordMap::backward
virtual void backward(CoordT::iterator out, CoordT::const_iterator in) const =0
Reverse transform coordinates.
+
ade::CoordMap::CoordMap
CoordMap(const MatrixT fwd, const MatrixT bwd)
Definition: coord.hpp:85
+
ade::Shape
Definition: shape.hpp:51
+
ade::flip
CoordPtrT flip(uint8_t dim)
+
ade::to_string
std::string to_string(T arg)
Return string representation for common arguments.
Definition: string.hpp:67
+
ade::CoordMap::fwd_
MatrixT fwd_
Forward transformation matrix.
Definition: coord.hpp:92
+
ade::inverse
void inverse(MatrixT out, const MatrixT &in)
Inverse in matrix and dump to out matrix.
+
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+#include "llo/data.hpp"
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struct  llo::GenericData
 GenericData for holding data when passing up the tensor graph. More...
 
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void llo::fill_one (char *cptr, size_t n, DTYPE dtype)
 
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1 
9 #include "ade/tensor.hpp"
10 
11 #include "llo/dtype.hpp"
12 
13 #ifndef LLO_DATA_HPP
14 #define LLO_DATA_HPP
15 
16 namespace llo
17 {
18 
20 struct GenericData
21 {
22  GenericData (void) = default;
23 
24  GenericData (ade::Shape shape, DTYPE dtype);
25 
27  GenericData convert_to (DTYPE dtype) const;
28 
30  std::shared_ptr<char> data_;
31 
33  ade::Shape shape_;
34 
36  DTYPE dtype_ = BAD;
37 };
38 
41 struct GenericRef
42 {
43  GenericRef (char* data, ade::Shape shape, DTYPE dtype) :
44  data_(data), shape_(shape), dtype_(dtype) {}
45 
46  GenericRef (GenericData& generic) :
47  data_(generic.data_.get()),
48  shape_(generic.shape_), dtype_(generic.dtype_) {}
49 
51  char* data_;
52 
54  ade::Shape shape_;
55 
57  DTYPE dtype_;
58 };
59 
60 void fill_one (char* cptr, size_t n, DTYPE dtype);
61 
62 }
63 
64 #endif // LLO_DATA_HPP
llo::GenericRef
Definition: data.hpp:41
+
llo::BAD
Definition: dtype.hpp:20
+
llo::GenericRef::GenericRef
GenericRef(GenericData &generic)
Definition: data.hpp:46
+
llo::GenericData::shape_
ade::Shape shape_
Shape of data_.
Definition: data.hpp:33
+
llo::fill_one
void fill_one(char *cptr, size_t n, DTYPE dtype)
+
llo::GenericRef::dtype_
DTYPE dtype_
Data type of data_.
Definition: data.hpp:57
+
llo::GenericData::convert_to
GenericData convert_to(DTYPE dtype) const
Return data converted to specified input type.
+
llo::GenericData
GenericData for holding data when passing up the tensor graph.
Definition: data.hpp:20
+ + +
llo::GenericRef::shape_
ade::Shape shape_
Shape of data_.
Definition: data.hpp:54
+
DTYPE
Definition: test_dtype.cpp:12
+
ade::Shape
Definition: shape.hpp:51
+
llo::GenericData::data_
std::shared_ptr< char > data_
Smartpointer to a block of untyped data.
Definition: data.hpp:30
+
llo
Definition: api.hpp:14
+
llo::GenericData::GenericData
GenericData(void)=default
+
llo::GenericData::dtype_
DTYPE dtype_
Data type of data_.
Definition: data.hpp:36
+
llo::GenericRef::data_
char * data_
Raw pointer to a block of untyped data.
Definition: data.hpp:51
+
llo::GenericRef::GenericRef
GenericRef(char *data, ade::Shape shape, DTYPE dtype)
Definition: data.hpp:43
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+ width: 100%; +} + +.memitem.glow { + box-shadow: 0 0 15px cyan; +} + +.memname { + font-weight: 400; + margin-left: 6px; +} + +.memname td { + vertical-align: bottom; +} + +.memproto, dl.reflist dt { + border-top: 1px solid #A8B8D9; + border-left: 1px solid #A8B8D9; + border-right: 1px solid #A8B8D9; + padding: 6px 0px 6px 0px; + color: #253555; + font-weight: bold; + text-shadow: 0px 1px 1px rgba(255, 255, 255, 0.9); + background-color: #DFE5F1; + /* opera specific markup */ + box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15); + border-top-right-radius: 4px; + /* firefox specific markup */ + -moz-box-shadow: rgba(0, 0, 0, 0.15) 5px 5px 5px; + -moz-border-radius-topright: 4px; + /* webkit specific markup */ + -webkit-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15); + -webkit-border-top-right-radius: 4px; + +} + +.overload { + font-family: "courier new",courier,monospace; + font-size: 65%; +} + +.memdoc, dl.reflist dd { + border-bottom: 1px solid #A8B8D9; + border-left: 1px solid #A8B8D9; + border-right: 1px solid #A8B8D9; + padding: 6px 10px 2px 10px; + background-color: #FBFCFD; + border-top-width: 0; + background-image:url('nav_g.png'); + background-repeat:repeat-x; + background-color: #FFFFFF; + /* opera specific markup */ + border-bottom-left-radius: 4px; + border-bottom-right-radius: 4px; + box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15); + /* firefox specific markup */ + -moz-border-radius-bottomleft: 4px; + -moz-border-radius-bottomright: 4px; + -moz-box-shadow: rgba(0, 0, 0, 0.15) 5px 5px 5px; + /* webkit specific markup */ + -webkit-border-bottom-left-radius: 4px; + -webkit-border-bottom-right-radius: 4px; + -webkit-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15); +} + +dl.reflist dt { + padding: 5px; +} + +dl.reflist dd { + margin: 0px 0px 10px 0px; + padding: 5px; +} + +.paramkey { + text-align: right; +} + +.paramtype { + white-space: nowrap; +} + +.paramname { + color: #602020; + white-space: nowrap; +} +.paramname em { + font-style: normal; +} +.paramname code { + line-height: 14px; +} + +.params, .retval, .exception, .tparams { + margin-left: 0px; + padding-left: 0px; +} + +.params .paramname, .retval .paramname { + font-weight: bold; + vertical-align: top; +} + +.params .paramtype { + font-style: italic; + vertical-align: top; +} + +.params .paramdir { + font-family: "courier new",courier,monospace; + vertical-align: top; +} + +table.mlabels { + border-spacing: 0px; +} + +td.mlabels-left { + width: 100%; + padding: 0px; +} + +td.mlabels-right { + vertical-align: bottom; + padding: 0px; + white-space: nowrap; +} + +span.mlabels { + margin-left: 8px; +} + +span.mlabel { + background-color: #728DC1; + border-top:1px solid #5373B4; + border-left:1px solid #5373B4; + border-right:1px solid #C4CFE5; + border-bottom:1px solid #C4CFE5; + text-shadow: none; + color: white; + margin-right: 4px; + padding: 2px 3px; + border-radius: 3px; + font-size: 7pt; + white-space: nowrap; + vertical-align: middle; +} + + + +/* @end */ + +/* these are for tree view inside a (index) page */ + +div.directory { + margin: 10px 0px; + border-top: 1px solid #9CAFD4; + border-bottom: 1px solid #9CAFD4; + width: 100%; +} + +.directory table { + border-collapse:collapse; +} + +.directory td { + margin: 0px; + padding: 0px; + vertical-align: top; +} + +.directory td.entry { + white-space: nowrap; + padding-right: 6px; + padding-top: 3px; +} + +.directory td.entry a { + outline:none; +} + +.directory td.entry a img { + border: none; +} + +.directory td.desc { + width: 100%; + padding-left: 6px; + padding-right: 6px; + padding-top: 3px; + border-left: 1px solid rgba(0,0,0,0.05); +} + +.directory tr.even { + padding-left: 6px; + background-color: #F7F8FB; +} + +.directory img { + vertical-align: -30%; +} + +.directory .levels { + white-space: nowrap; + width: 100%; + text-align: right; + font-size: 9pt; +} + +.directory .levels span { + cursor: pointer; + padding-left: 2px; + padding-right: 2px; + color: #3D578C; +} + +.arrow { + color: #9CAFD4; + -webkit-user-select: none; + -khtml-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; + cursor: pointer; + font-size: 80%; + display: inline-block; + width: 16px; + height: 22px; +} + +.icon { + font-family: Arial, Helvetica; + font-weight: bold; + font-size: 12px; + height: 14px; + width: 16px; + display: inline-block; + background-color: #728DC1; + color: white; + text-align: center; + border-radius: 4px; + margin-left: 2px; + margin-right: 2px; +} + +.icona { + width: 24px; + height: 22px; + display: inline-block; +} + +.iconfopen { + width: 24px; + height: 18px; + margin-bottom: 4px; + background-image:url('folderopen.png'); + background-position: 0px -4px; + background-repeat: repeat-y; + vertical-align:top; + display: inline-block; +} + +.iconfclosed { + width: 24px; + height: 18px; + margin-bottom: 4px; + background-image:url('folderclosed.png'); + background-position: 0px -4px; + background-repeat: repeat-y; + vertical-align:top; + display: inline-block; +} + +.icondoc { + width: 24px; + height: 18px; + margin-bottom: 4px; + background-image:url('doc.png'); + background-position: 0px -4px; + background-repeat: repeat-y; + vertical-align:top; + display: inline-block; +} + +table.directory { + font: 400 14px Roboto,sans-serif; +} + +/* @end */ + +div.dynheader { + margin-top: 8px; + -webkit-touch-callout: none; + -webkit-user-select: none; + -khtml-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; +} + +address { + font-style: normal; + color: #2A3D61; +} + +table.doxtable caption { + caption-side: top; +} + +table.doxtable { + border-collapse:collapse; + margin-top: 4px; + margin-bottom: 4px; +} + +table.doxtable td, table.doxtable th { + border: 1px solid #2D4068; + padding: 3px 7px 2px; +} + +table.doxtable th { + background-color: #374F7F; + color: #FFFFFF; + font-size: 110%; + padding-bottom: 4px; + padding-top: 5px; +} + +table.fieldtable { + /*width: 100%;*/ + margin-bottom: 10px; + border: 1px solid #A8B8D9; + border-spacing: 0px; + -moz-border-radius: 4px; + -webkit-border-radius: 4px; + border-radius: 4px; + -moz-box-shadow: rgba(0, 0, 0, 0.15) 2px 2px 2px; + -webkit-box-shadow: 2px 2px 2px rgba(0, 0, 0, 0.15); + box-shadow: 2px 2px 2px rgba(0, 0, 0, 0.15); +} + +.fieldtable td, .fieldtable th { + padding: 3px 7px 2px; +} + +.fieldtable td.fieldtype, .fieldtable td.fieldname { + white-space: nowrap; + border-right: 1px solid #A8B8D9; + border-bottom: 1px solid #A8B8D9; + vertical-align: top; +} + +.fieldtable td.fieldname { + padding-top: 3px; +} + +.fieldtable td.fielddoc { + border-bottom: 1px solid #A8B8D9; + /*width: 100%;*/ +} + +.fieldtable td.fielddoc p:first-child { + margin-top: 0px; +} + +.fieldtable td.fielddoc p:last-child { + margin-bottom: 2px; +} + +.fieldtable tr:last-child td { + border-bottom: none; +} + +.fieldtable th { + background-image:url('nav_f.png'); + background-repeat:repeat-x; + background-color: #E2E8F2; + font-size: 90%; + color: #253555; + padding-bottom: 4px; + padding-top: 5px; + text-align:left; + font-weight: 400; + -moz-border-radius-topleft: 4px; + -moz-border-radius-topright: 4px; + -webkit-border-top-left-radius: 4px; + -webkit-border-top-right-radius: 4px; + border-top-left-radius: 4px; + border-top-right-radius: 4px; + border-bottom: 1px solid #A8B8D9; +} + + +.tabsearch { + top: 0px; + left: 10px; + height: 36px; + background-image: url('tab_b.png'); + z-index: 101; + overflow: hidden; + font-size: 13px; +} + +.navpath ul +{ + font-size: 11px; + background-image:url('tab_b.png'); + background-repeat:repeat-x; + background-position: 0 -5px; + height:30px; + line-height:30px; + color:#8AA0CC; + border:solid 1px #C2CDE4; + overflow:hidden; + margin:0px; + padding:0px; +} + +.navpath li +{ + list-style-type:none; + float:left; + padding-left:10px; + padding-right:15px; + background-image:url('bc_s.png'); + background-repeat:no-repeat; + background-position:right; + color:#364D7C; +} + +.navpath li.navelem a +{ + height:32px; + display:block; + text-decoration: none; + outline: none; + color: #283A5D; + font-family: 'Lucida Grande',Geneva,Helvetica,Arial,sans-serif; + text-shadow: 0px 1px 1px rgba(255, 255, 255, 0.9); + text-decoration: none; +} + +.navpath li.navelem a:hover +{ + color:#6884BD; +} + +.navpath li.footer +{ + list-style-type:none; + float:right; + padding-left:10px; + padding-right:15px; + background-image:none; + background-repeat:no-repeat; + background-position:right; + color:#364D7C; + font-size: 8pt; +} + + +div.summary +{ + float: right; + font-size: 8pt; + padding-right: 5px; + width: 50%; + text-align: right; +} + +div.summary a +{ + white-space: nowrap; +} + +table.classindex +{ + margin: 10px; + white-space: nowrap; + margin-left: 3%; + margin-right: 3%; + width: 94%; + border: 0; + border-spacing: 0; + padding: 0; +} + +div.ingroups +{ + font-size: 8pt; + width: 50%; + text-align: left; +} + +div.ingroups a +{ + white-space: nowrap; +} + +div.header +{ + background-image:url('nav_h.png'); + background-repeat:repeat-x; + background-color: #F9FAFC; + margin: 0px; + border-bottom: 1px solid #C4CFE5; +} + +div.headertitle +{ + padding: 5px 5px 5px 10px; +} + +dl +{ + padding: 0 0 0 10px; +} + +/* dl.note, dl.warning, dl.attention, dl.pre, dl.post, dl.invariant, dl.deprecated, dl.todo, dl.test, dl.bug */ +dl.section +{ + margin-left: 0px; + padding-left: 0px; +} + +dl.note +{ + margin-left:-7px; + padding-left: 3px; + border-left:4px solid; + border-color: #D0C000; +} + +dl.warning, dl.attention +{ + margin-left:-7px; + padding-left: 3px; + border-left:4px solid; + border-color: #FF0000; +} + +dl.pre, dl.post, dl.invariant +{ + margin-left:-7px; + padding-left: 3px; + border-left:4px solid; + border-color: #00D000; +} + +dl.deprecated +{ + margin-left:-7px; + padding-left: 3px; + border-left:4px solid; + border-color: #505050; +} + +dl.todo +{ + margin-left:-7px; + padding-left: 3px; + border-left:4px solid; + border-color: #00C0E0; +} + +dl.test +{ + margin-left:-7px; + padding-left: 3px; + border-left:4px solid; + border-color: #3030E0; +} + +dl.bug +{ + margin-left:-7px; + padding-left: 3px; + border-left:4px solid; + border-color: #C08050; +} + +dl.section dd { + margin-bottom: 6px; +} + + +#projectlogo +{ + text-align: center; + vertical-align: bottom; + border-collapse: separate; +} + +#projectlogo img +{ + border: 0px none; +} + +#projectalign +{ + vertical-align: middle; +} + +#projectname +{ + font: 300% Tahoma, Arial,sans-serif; + margin: 0px; + padding: 2px 0px; +} + +#projectbrief +{ + font: 120% Tahoma, Arial,sans-serif; + margin: 0px; + padding: 0px; +} + +#projectnumber +{ + font: 50% Tahoma, Arial,sans-serif; + margin: 0px; + padding: 0px; +} + +#titlearea +{ + padding: 0px; + margin: 0px; + width: 100%; + border-bottom: 1px solid #5373B4; +} + +.image +{ + text-align: center; +} + +.dotgraph +{ + text-align: center; +} + +.mscgraph +{ + text-align: center; +} + +.plantumlgraph +{ + text-align: center; +} + +.diagraph +{ + text-align: center; +} + +.caption +{ + font-weight: bold; +} + +div.zoom +{ + border: 1px solid #90A5CE; +} + +dl.citelist { + margin-bottom:50px; +} + +dl.citelist dt { + color:#334975; + float:left; + font-weight:bold; + margin-right:10px; + padding:5px; +} + +dl.citelist dd { + margin:2px 0; + padding:5px 0; +} + +div.toc { + padding: 14px 25px; + background-color: #F4F6FA; + border: 1px solid #D8DFEE; + border-radius: 7px 7px 7px 7px; + float: right; + height: auto; + margin: 0 8px 10px 10px; + width: 200px; +} + +div.toc li { + background: url("bdwn.png") no-repeat scroll 0 5px transparent; + font: 10px/1.2 Verdana,DejaVu Sans,Geneva,sans-serif; + margin-top: 5px; + padding-left: 10px; + padding-top: 2px; +} + +div.toc h3 { + font: bold 12px/1.2 Arial,FreeSans,sans-serif; + color: #4665A2; + border-bottom: 0 none; + margin: 0; +} + +div.toc ul { + list-style: none outside none; + border: medium none; + padding: 0px; +} + +div.toc li.level1 { + margin-left: 0px; +} + +div.toc li.level2 { + margin-left: 15px; +} + +div.toc li.level3 { + margin-left: 30px; +} + +div.toc li.level4 { + margin-left: 45px; +} + +.inherit_header { + font-weight: bold; + color: gray; + cursor: pointer; + -webkit-touch-callout: none; + -webkit-user-select: none; + -khtml-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; +} + +.inherit_header td { + padding: 6px 0px 2px 5px; +} + +.inherit { + display: none; +} + +tr.heading h2 { + margin-top: 12px; + margin-bottom: 4px; +} + +/* tooltip related style info */ + +.ttc { + position: absolute; + display: none; +} + +#powerTip { + cursor: default; + white-space: nowrap; + background-color: white; + border: 1px solid gray; + border-radius: 4px 4px 4px 4px; + box-shadow: 1px 1px 7px gray; + display: none; + font-size: smaller; + max-width: 80%; + opacity: 0.9; + padding: 1ex 1em 1em; + position: absolute; + z-index: 2147483647; +} + +#powerTip div.ttdoc { + color: grey; + font-style: italic; +} + +#powerTip div.ttname a { + font-weight: bold; +} + +#powerTip div.ttname { + font-weight: bold; +} + +#powerTip div.ttdeci { + color: #006318; +} + +#powerTip div { + margin: 0px; + padding: 0px; + font: 12px/16px Roboto,sans-serif; +} + +#powerTip:before, #powerTip:after { + content: ""; + position: absolute; + margin: 0px; +} + +#powerTip.n:after, #powerTip.n:before, +#powerTip.s:after, #powerTip.s:before, +#powerTip.w:after, #powerTip.w:before, +#powerTip.e:after, #powerTip.e:before, +#powerTip.ne:after, #powerTip.ne:before, +#powerTip.se:after, #powerTip.se:before, +#powerTip.nw:after, #powerTip.nw:before, +#powerTip.sw:after, #powerTip.sw:before { + border: solid transparent; + content: " "; + height: 0; + width: 0; + position: absolute; +} + +#powerTip.n:after, #powerTip.s:after, +#powerTip.w:after, #powerTip.e:after, +#powerTip.nw:after, #powerTip.ne:after, +#powerTip.sw:after, #powerTip.se:after { + border-color: rgba(255, 255, 255, 0); +} + +#powerTip.n:before, #powerTip.s:before, +#powerTip.w:before, #powerTip.e:before, +#powerTip.nw:before, #powerTip.ne:before, +#powerTip.sw:before, #powerTip.se:before { + border-color: rgba(128, 128, 128, 0); +} + +#powerTip.n:after, #powerTip.n:before, +#powerTip.ne:after, #powerTip.ne:before, +#powerTip.nw:after, #powerTip.nw:before { + top: 100%; +} + +#powerTip.n:after, #powerTip.ne:after, #powerTip.nw:after { + border-top-color: #ffffff; + border-width: 10px; + margin: 0px -10px; +} +#powerTip.n:before { + border-top-color: #808080; + border-width: 11px; + margin: 0px -11px; +} +#powerTip.n:after, #powerTip.n:before { + left: 50%; +} + +#powerTip.nw:after, #powerTip.nw:before { + right: 14px; +} + +#powerTip.ne:after, #powerTip.ne:before { + left: 14px; +} + +#powerTip.s:after, #powerTip.s:before, +#powerTip.se:after, #powerTip.se:before, +#powerTip.sw:after, #powerTip.sw:before { + bottom: 100%; +} + +#powerTip.s:after, #powerTip.se:after, #powerTip.sw:after { + border-bottom-color: #ffffff; + border-width: 10px; + margin: 0px -10px; +} + +#powerTip.s:before, #powerTip.se:before, #powerTip.sw:before { + border-bottom-color: #808080; + border-width: 11px; + margin: 0px -11px; +} + +#powerTip.s:after, #powerTip.s:before { + left: 50%; +} + +#powerTip.sw:after, #powerTip.sw:before { + right: 14px; +} + +#powerTip.se:after, #powerTip.se:before { + left: 14px; +} + +#powerTip.e:after, #powerTip.e:before { + left: 100%; +} +#powerTip.e:after { + border-left-color: #ffffff; + border-width: 10px; + top: 50%; + margin-top: -10px; +} +#powerTip.e:before { + border-left-color: #808080; + border-width: 11px; + top: 50%; + margin-top: -11px; +} + +#powerTip.w:after, #powerTip.w:before { + right: 100%; +} +#powerTip.w:after { + border-right-color: #ffffff; + border-width: 10px; + top: 50%; + margin-top: -10px; +} +#powerTip.w:before { + border-right-color: #808080; + border-width: 11px; + top: 50%; + margin-top: -11px; +} + +@media print +{ + #top { display: none; } + #side-nav { display: none; } + #nav-path { display: none; } + body { overflow:visible; } + h1, h2, h3, h4, h5, h6 { page-break-after: avoid; } + .summary { display: none; } + .memitem { page-break-inside: avoid; } + #doc-content + { + margin-left:0 !important; + height:auto !important; + width:auto !important; + overflow:inherit; + display:inline; + } +} + +/* @group Markdown */ + +/* +table.markdownTable { + border-collapse:collapse; + margin-top: 4px; + margin-bottom: 4px; +} + +table.markdownTable td, table.markdownTable th { + border: 1px solid #2D4068; + padding: 3px 7px 2px; +} + +table.markdownTableHead tr { +} + +table.markdownTableBodyLeft td, table.markdownTable th { + border: 1px solid #2D4068; + padding: 3px 7px 2px; +} + +th.markdownTableHeadLeft th.markdownTableHeadRight th.markdownTableHeadCenter th.markdownTableHeadNone { + background-color: #374F7F; + color: #FFFFFF; + font-size: 110%; + padding-bottom: 4px; + padding-top: 5px; +} + +th.markdownTableHeadLeft { + text-align: left +} + +th.markdownTableHeadRight { + text-align: right +} + +th.markdownTableHeadCenter { + text-align: center +} +*/ + +table.markdownTable { + border-collapse:collapse; + margin-top: 4px; + margin-bottom: 4px; +} + +table.markdownTable td, table.markdownTable th { + border: 1px solid #2D4068; + padding: 3px 7px 2px; +} + +table.markdownTable tr { +} + +th.markdownTableHeadLeft, th.markdownTableHeadRight, th.markdownTableHeadCenter, th.markdownTableHeadNone { + background-color: #374F7F; 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enum  llo::DTYPE {
+  llo::BAD = 0, +llo::DOUBLE, +llo::FLOAT, +llo::INT8, +
+  llo::INT16, +llo::INT32, +llo::INT64, +llo::UINT8, +
+  llo::UINT16, +llo::UINT32, +llo::UINT64 +
+ }
 Enumerated representation of data types. More...
 
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

+Functions

std::string llo::nametype (DTYPE type)
 Return the string name of input DTYPE. More...
 
uint8_t llo::type_size (DTYPE type)
 Return the byte size of input DTYPE. More...
 
template<typename T >
DTYPE llo::get_type (void)
 Return the DTYPE of type in template. More...
 
template<>
DTYPE llo::get_type< double > (void)
 
template<>
DTYPE llo::get_type< float > (void)
 
template<>
DTYPE llo::get_type< int8_t > (void)
 
template<>
DTYPE llo::get_type< uint8_t > (void)
 
template<>
DTYPE llo::get_type< int16_t > (void)
 
template<>
DTYPE llo::get_type< uint16_t > (void)
 
template<>
DTYPE llo::get_type< int32_t > (void)
 
template<>
DTYPE llo::get_type< uint32_t > (void)
 
template<>
DTYPE llo::get_type< int64_t > (void)
 
template<>
DTYPE llo::get_type< uint64_t > (void)
 
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1 
9 #include <string>
10 
11 #ifndef LLO_DTYPE_HPP
12 #define LLO_DTYPE_HPP
13 
14 namespace llo
15 {
16 
18 enum DTYPE
19 {
20  BAD = 0,
21  DOUBLE,
22  FLOAT,
23  INT8,
24  INT16,
25  INT32,
26  INT64,
27  UINT8,
28  UINT16,
29  UINT32,
30  UINT64,
31 };
32 
34 std::string nametype (DTYPE type);
35 
37 uint8_t type_size (DTYPE type);
38 
40 template <typename T>
41 DTYPE get_type (void)
42 {
43  return DTYPE::BAD;
44 }
45 
46 template <>
47 DTYPE get_type<double> (void);
48 
49 template <>
50 DTYPE get_type<float> (void);
51 
52 template <>
53 DTYPE get_type<int8_t> (void);
54 
55 template <>
56 DTYPE get_type<uint8_t> (void);
57 
58 template <>
59 DTYPE get_type<int16_t> (void);
60 
61 template <>
62 DTYPE get_type<uint16_t> (void);
63 
64 template <>
65 DTYPE get_type<int32_t> (void);
66 
67 template <>
68 DTYPE get_type<uint32_t> (void);
69 
70 template <>
71 DTYPE get_type<int64_t> (void);
72 
73 template <>
74 DTYPE get_type<uint64_t> (void);
75 
76 }
77 
78 #endif // LLO_DTYPE_HPP
llo::UINT32
Definition: dtype.hpp:29
+
llo::BAD
Definition: dtype.hpp:20
+
llo::INT8
Definition: dtype.hpp:23
+
llo::get_type< uint32_t >
DTYPE get_type< uint32_t >(void)
+
llo::get_type< uint16_t >
DTYPE get_type< uint16_t >(void)
+
llo::INT16
Definition: dtype.hpp:24
+
llo::get_type< int8_t >
DTYPE get_type< int8_t >(void)
+
llo::UINT16
Definition: dtype.hpp:28
+
llo::FLOAT
Definition: dtype.hpp:22
+
llo::get_type< double >
DTYPE get_type< double >(void)
+
llo::get_type< int16_t >
DTYPE get_type< int16_t >(void)
+
llo::get_type< int64_t >
DTYPE get_type< int64_t >(void)
+
llo::get_type< float >
DTYPE get_type< float >(void)
+
llo::type_size
uint8_t type_size(DTYPE type)
Return the byte size of input DTYPE.
+
llo::UINT64
Definition: dtype.hpp:30
+
llo::get_type< int32_t >
DTYPE get_type< int32_t >(void)
+
llo::UINT8
Definition: dtype.hpp:27
+
llo::nametype
std::string nametype(DTYPE type)
Return the string name of input DTYPE.
+
DTYPE
Definition: test_dtype.cpp:12
+
llo
Definition: api.hpp:14
+
llo::get_type
DTYPE get_type(void)
Return the DTYPE of type in template.
Definition: dtype.hpp:41
+
llo::INT64
Definition: dtype.hpp:26
+
llo::DOUBLE
Invalid data type.
Definition: dtype.hpp:21
+
llo::get_type< uint8_t >
DTYPE get_type< uint8_t >(void)
+
llo::INT32
Definition: dtype.hpp:25
+
llo::get_type< uint64_t >
DTYPE get_type< uint64_t >(void)
+
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+#include "llo/opmap.hpp"
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+Classes

struct  llo::iSource
 Interface for leaves with tensor data. More...
 
struct  llo::EvalCtx
 Context used to associate ade nodes to llo nodes under a particular graph. More...
 
struct  llo::Evaluator
 
struct  llo::DataNode
 
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+Namespaces

 llo
 
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+Typedefs

using llo::SourcePoolT = std::unordered_map< ade::iTensor *, std::shared_ptr< iSource > >
 Type used by context to associate ade::Tensors to Sources. More...
 
+ + + + +

+Functions

void llo::calc_func_args (DataArgsT &out, const EvalCtx &ctx, DTYPE dtype, ade::iFunctor *func)
 Evaluate the data of children for func according to inputs ctx and dtype. More...
 
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1 
9 #include <unordered_map>
10 
11 #include "ade/functor.hpp"
12 
13 #include "llo/opmap.hpp"
14 
15 #ifndef LLO_EVAL_HPP
16 #define LLO_EVAL_HPP
17 
18 namespace llo
19 {
20 
22 struct iSource
23 {
24  virtual ~iSource (void) = default;
25 
27  virtual GenericData data (DTYPE dtype) const = 0;
28 
30  virtual DTYPE native_type (void) const = 0;
31 
33  virtual void reassign (const GenericRef& data) = 0;
34 
36  virtual const std::shared_ptr<ade::Tensor>& inner (void) const = 0;
37 };
38 
40 using SourcePoolT = std::unordered_map<ade::iTensor*,std::shared_ptr<iSource>>;
41 
43 struct EvalCtx final
44 {
45  EvalCtx (void) = default;
46 
47  EvalCtx (ade::iTensor* srckey, std::shared_ptr<iSource>& srcval)
48  {
49  if (srcval != nullptr && srckey != nullptr)
50  {
51  srcs_[srckey] = srcval;
52  }
53  }
54 
55  EvalCtx (std::vector<const EvalCtx*> contexas)
56  {
57  for (const EvalCtx* ctx : contexas)
58  {
59  srcs_.insert(ctx->srcs_.begin(), ctx->srcs_.end());
60  }
61  }
62 
64  SourcePoolT srcs_;
65 };
66 
68 void calc_func_args (DataArgsT& out, const EvalCtx& ctx,
69  DTYPE dtype, ade::iFunctor* func);
70 
76 struct Evaluator final : public ade::iTraveler
77 {
78  Evaluator (const EvalCtx& ctx, DTYPE dtype) :
79  ctx_(&ctx), dtype_(dtype) {}
80 
82  void visit (ade::Tensor* leaf) override
83  {
84  if (leaf == ade::Tensor::SYMBOLIC_ONE.get())
85  {
86  out_ = GenericData(ade::Shape(), dtype_);
87  fill_one(out_.data_.get(), 1, dtype_);
88  return;
89  }
90  auto srcpair = ctx_->srcs_.find(leaf);
91  if (ctx_->srcs_.end() != srcpair)
92  {
93  out_ = srcpair->second->data(dtype_);
94  }
95  else
96  {
97  if (leaf != ade::Tensor::SYMBOLIC_ZERO.get())
98  {
99  ade::warnf("evaluating an ade::Tensor %s without associated "
100  "Source according to input context... treating data as 0",
101  leaf->to_string().c_str()); // todo: describe ctx for comprehensive report
102  }
103  out_ = GenericData(ade::Shape(), dtype_);
104  std::memset(out_.data_.get(), 0, type_size(dtype_));
105  }
106  }
107 
109  void visit (ade::iFunctor* func) override
110  {
111  ade::OPCODE opcode = func->get_code();
112  out_ = GenericData(func->shape(), dtype_);
113 
114  DataArgsT argdata;
115  calc_func_args(argdata, *ctx_, dtype_, func);
116  op_exec(opcode, out_, argdata);
117  }
118 
120  GenericData out_;
121 
122 private:
124  const EvalCtx* ctx_; // not owner
125 
127  DTYPE dtype_;
128 };
129 
132 struct DataNode
133 {
134  DataNode (EvalCtx ctx, ade::Tensorptr tensor) :
135  ctx_(ctx), tensor_(tensor) {}
136 
137  virtual ~DataNode (void) = default;
138 
140  GenericData data (DTYPE dtype)
141  {
142  Evaluator eval(ctx_, dtype);
143  tensor_->accept(eval);
144  return eval.out_;
145  }
146 
148  DataNode derive (const ade::iTensor* wrt)
149  {
150  ade::Tensorptr grad = tensor_->gradient(wrt);
151  return DataNode(ctx_, grad);
152  }
153 
155  DataNode derive (DataNode& wrt)
156  {
157  return derive(wrt.tensor_.get());
158  }
159 
161  std::shared_ptr<llo::iSource> source (void) const
162  {
163  return get_src(tensor_);
164  }
165 
167  std::shared_ptr<llo::iSource> get_src (ade::Tensorptr target) const
168  {
169  std::shared_ptr<llo::iSource> out = nullptr;
170  auto it = ctx_.srcs_.find(target.get());
171  if (ctx_.srcs_.end() != it)
172  {
173  out = it->second;
174  }
175  return out;
176  }
177 
179  EvalCtx ctx_;
180 
182  ade::Tensorptr tensor_;
183 };
184 
185 }
186 
187 #endif // LLO_EVAL_HPP
llo::GenericRef
Definition: data.hpp:41
+ +
llo::iSource::inner
virtual const std::shared_ptr< ade::Tensor > & inner(void) const =0
Return internal tensor referencing this.
+
ade::iFunctor
Interface of OPCODE-defined operation node.
Definition: functor.hpp:24
+
llo::DataNode::tensor_
ade::Tensorptr tensor_
Subgraph root.
Definition: eval.hpp:182
+
ade::Tensorptr::get
iTensor * get(void) const
Return the raw pointer.
Definition: tensor.hpp:93
+
llo::iSource
Interface for leaves with tensor data.
Definition: eval.hpp:22
+
ade::iTensor::gradient
virtual Tensorptr gradient(const iTensor *wrt)=0
Return the partial derivative of this with respect to input wrt.
+
llo::DataArgsT
std::vector< std::pair< ade::CoordPtrT, GenericData > > DataArgsT
Definition: opmap.hpp:20
+
llo::DataNode::derive
DataNode derive(const ade::iTensor *wrt)
Return DataNode of gradient tree derived with respect to wrt tensor.
Definition: eval.hpp:148
+
ade::OPCODE
OPCODE
Enumerated representation of operations.
Definition: opcode.hpp:22
+
llo::Evaluator::Evaluator
Evaluator(const EvalCtx &ctx, DTYPE dtype)
Definition: eval.hpp:78
+
llo::DataNode::get_src
std::shared_ptr< llo::iSource > get_src(ade::Tensorptr target) const
Return iSource mapped by target if found in ctx_, otherwise null.
Definition: eval.hpp:167
+
llo::DataNode::derive
DataNode derive(DataNode &wrt)
Return DataNode of gradient tree derived with respect to wrt DataNode.
Definition: eval.hpp:155
+
ade::Tensorptr
Smart pointer to iTensor ensuring non-null references.
Definition: tensor.hpp:57
+
ade::iTensor::shape
virtual const Shape & shape(void) const =0
Return the shape held by this tensor.
+
llo::EvalCtx::srcs_
SourcePoolT srcs_
List all ade-source mapping.
Definition: eval.hpp:64
+
llo::op_exec
void op_exec(ade::OPCODE opcode, GenericData &out, DataArgsT &data)
+
llo::DataNode::source
std::shared_ptr< llo::iSource > source(void) const
Return iSource mapped by tensor_ if found in ctx_, otherwise null.
Definition: eval.hpp:161
+
llo::EvalCtx::EvalCtx
EvalCtx(ade::iTensor *srckey, std::shared_ptr< iSource > &srcval)
Definition: eval.hpp:47
+
ade::Tensor
Leaf of the graph commonly representing the variable in an equation.
Definition: tensor.hpp:116
+
llo::iSource::native_type
virtual DTYPE native_type(void) const =0
Return the type of data stored.
+
llo::Evaluator::out_
GenericData out_
Output data evaluated upon visiting node.
Definition: eval.hpp:120
+
llo::type_size
uint8_t type_size(DTYPE type)
Return the byte size of input DTYPE.
+
ade::warnf
void warnf(std::string format, ARGS... args)
Warn using global logger with arguments.
Definition: log.hpp:80
+ +
llo::fill_one
void fill_one(char *cptr, size_t n, DTYPE dtype)
+
llo::Evaluator::dtype_
DTYPE dtype_
Output type when evaluating data.
Definition: eval.hpp:127
+
ade::iTensor::accept
virtual void accept(iTraveler &visiter)=0
Obtain concrete information on either leaf or functor implementations.
+
llo::EvalCtx::EvalCtx
EvalCtx(std::vector< const EvalCtx *> contexas)
Definition: eval.hpp:55
+
llo::GenericData
GenericData for holding data when passing up the tensor graph.
Definition: data.hpp:20
+
ade::iFunctor::get_code
virtual OPCODE get_code(void) const =0
Return OPCODE mapping to forward and gradient operators.
+
llo::SourcePoolT
std::unordered_map< ade::iTensor *, std::shared_ptr< iSource > > SourcePoolT
Type used by context to associate ade::Tensors to Sources.
Definition: eval.hpp:40
+
ade::Tensor::to_string
std::string to_string(void) const override
Implementation of iTensor.
Definition: tensor.hpp:153
+
llo::Evaluator::ctx_
const EvalCtx * ctx_
Context used when evaluating node.
Definition: eval.hpp:124
+
ade::iTraveler
Interface to travel through graph, treating Tensor and iFunctor differently.
Definition: tensor.hpp:27
+
ade::iTensor
Interface of traversible and differentiable nodes with shape information.
Definition: tensor.hpp:39
+
llo::iSource::reassign
virtual void reassign(const GenericRef &data)=0
Assign new data values.
+
llo::DataNode::~DataNode
virtual ~DataNode(void)=default
+
DTYPE
Definition: test_dtype.cpp:12
+
ade::Shape
Definition: shape.hpp:51
+
ade::Tensor::SYMBOLIC_ZERO
static Tensorptr SYMBOLIC_ZERO
Represent a scalar containing value zero.
Definition: tensor.hpp:122
+
llo::iSource::~iSource
virtual ~iSource(void)=default
+
llo::GenericData::data_
std::shared_ptr< char > data_
Smartpointer to a block of untyped data.
Definition: data.hpp:30
+
llo::Evaluator::visit
void visit(ade::iFunctor *func) override
Implementation of iTraveler.
Definition: eval.hpp:109
+
llo::Evaluator::visit
void visit(ade::Tensor *leaf) override
Implementation of iTraveler.
Definition: eval.hpp:82
+
llo
Definition: api.hpp:14
+
llo::DataNode
Definition: eval.hpp:132
+
ade::Tensor::SYMBOLIC_ONE
static Tensorptr SYMBOLIC_ONE
Represent a scalar containing value one.
Definition: tensor.hpp:119
+
llo::calc_func_args
void calc_func_args(DataArgsT &out, const EvalCtx &ctx, DTYPE dtype, ade::iFunctor *func)
Evaluate the data of children for func according to inputs ctx and dtype.
+
llo::Evaluator
Definition: eval.hpp:76
+
llo::EvalCtx
Context used to associate ade nodes to llo nodes under a particular graph.
Definition: eval.hpp:43
+
llo::DataNode::DataNode
DataNode(EvalCtx ctx, ade::Tensorptr tensor)
Definition: eval.hpp:134
+
llo::DataNode::ctx_
EvalCtx ctx_
Accumulated context.
Definition: eval.hpp:179
+
llo::DataNode::data
GenericData data(DTYPE dtype)
Return data according to accumulated context and output type.
Definition: eval.hpp:140
+
llo::EvalCtx::EvalCtx
EvalCtx(void)=default
+
llo::iSource::data
virtual GenericData data(DTYPE dtype) const =0
Return data converted to input type.
+
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struct  ade::iFunctor
 Interface of OPCODE-defined operation node. More...
 
struct  ade::PathFinder
 
struct  ade::Functor
 Functor of the graph mapping to operators specified by opcode argument. More...
 
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1 
9 #include <algorithm>
10 #include <cassert>
11 #include <list>
12 #include <unordered_map>
13 
14 #include "ade/log/string.hpp"
15 #include "ade/grader.hpp"
16 
17 #ifndef ADE_FUNCTOR_HPP
18 #define ADE_FUNCTOR_HPP
19 
20 namespace ade
21 {
22 
24 struct iFunctor : public iTensor
25 {
26  virtual ~iFunctor (void) = default;
27 
29  void accept (iTraveler& visiter) override
30  {
31  visiter.visit(this);
32  }
33 
35  virtual OPCODE get_code (void) const = 0;
36 
38  virtual const ArgsT& get_children (void) const = 0;
39 };
40 
46 struct PathFinder final : public iTraveler
47 {
49  using ParentMapT = std::unordered_map<iTensor*,std::vector<bool>>;
50 
51  PathFinder (const iTensor* target) : target_(target) {}
52 
54  void visit (Tensor* leaf) override {}
55 
57  void visit (iFunctor* func) override
58  {
59  if (parents_.end() == parents_.find(func))
60  {
61  auto& children = func->get_children();
62  size_t n = children.size();
63  bool has_path = false;
64  std::vector<bool> path(n, false);
65  for (size_t i = 0; i < n; ++i)
66  {
67  Tensorptr tens = children[i].second;
68  if (tens.get() == target_)
69  {
70  path[i] = has_path = true;
71  }
72  else
73  {
74  tens->accept(*this);
75  if (parents_.end() != parents_.find(tens.get()))
76  {
77  path[i] = has_path = true;
78  }
79  }
80  }
81  if (has_path)
82  {
83  parents_[func] = path;
84  }
85  }
86  }
87 
89  const iTensor* target_;
90 
92  ParentMapT parents_;
93 };
94 
96 struct Functor final : public iFunctor
97 {
99  static Functor* get (OPCODE opcode, ArgsT args)
100  {
101  std::string oname = opname(opcode);
102  const char* label = oname.c_str();
103  if (0 == args.size())
104  {
105  fatalf("cannot %s with no arguments", label);
106  }
107 
108  Shape shape = map_shape(args[0].first, args[0].second->shape());
109  for (size_t i = 1, n = args.size(); i < n; ++i)
110  {
111  Shape ishape = map_shape(args[i].first, args[i].second->shape());
112  if (false == ishape.compatible_after(shape, 0))
113  {
114  fatalf("cannot %s with incompatible shapes %s and %s", label,
115  shape.to_string().c_str(), ishape.to_string().c_str());
116  }
117  }
118  return new Functor(opcode, shape, args);
119  }
120 
122  const Shape& shape (void) const override
123  {
124  return shape_;
125  }
126 
128  Tensorptr gradient (const iTensor* wrt) override
129  {
130  if (this == wrt)
131  {
132  return shaped_one(shape_);
133  }
134 
135  // define traversal path from this to wrt
136  PathFinder finder(wrt);
137  accept(finder);
138  // no path to wrt
139  if (finder.parents_.empty())
140  {
141  return shaped_zero(wrt->shape());
142  }
143  // else there exists a path to wrt
144  // using pathfinder, breadth first traverse to wrt
145  std::list<std::pair<iTensor*,Tensorptr>> tmaps = {{this, shaped_one(shape_)}};
146  std::vector<Tensorptr> finalgrad;
147  while (false == tmaps.empty())
148  {
149  auto fpair = tmaps.front();
150  tmaps.pop_front();
151  iTensor* fwd = fpair.first;
152  auto bwd = fpair.second;
153  if (wrt == fwd)
154  {
155  finalgrad.push_back(bwd);
156  continue;
157  }
158  iFunctor* func = static_cast<iFunctor*>(fwd);
159  OPCODE opcode = func->get_code();
160  auto& paint = finder.parents_[func];
161  ArgsT children = func->get_children();
162  ArgsT grad_children;
163  std::transform(children.begin(), children.end(),
164  std::back_inserter(grad_children),
165  [](std::pair<CoordPtrT,Tensorptr>& child)
166  { return std::pair<CoordPtrT,Tensorptr>{
167  CoordPtrT(child.first->reverse()),
168  shaped_zero(child.second->shape())}; });
169  // for each painted child, calculate dThis/dChild
170  for (size_t i = 0, n = children.size(); i < n; ++i)
171  {
172  if (paint[i])
173  {
174  Tensorptr& child = children[i].second;
175  iTensor* tens = child.get();
176  auto zero = grad_children[i].second;
177  grad_children[i].second = bwd;
178  // pass down forward-gradient pair
179  tmaps.push_back({tens,
180  gradmap(opcode, children, grad_children)});
181  grad_children[i].second = zero;
182  }
183  }
184  }
185 
186  assert(finalgrad.size() > 0);
187  if (finalgrad.size() == 1)
188  {
189  return finalgrad[0];
190  }
191  ArgsT finalargs;
192  std::transform(finalgrad.begin(), finalgrad.end(),
193  std::back_inserter(finalargs),
194  [](Tensorptr& tens) -> std::pair<CoordPtrT,Tensorptr>
195  {
196  return {identity, tens};
197  });
198  return Functor::get(ADD, finalargs);
199  }
200 
202  std::string to_string (void) const override
203  {
204  return opname(opcode_);
205  }
206 
208  OPCODE get_code (void) const override
209  {
210  return opcode_;
211  }
212 
214  const ArgsT& get_children (void) const override
215  {
216  return args_;
217  }
218 
219 private:
220  Functor (OPCODE opcode, Shape shape, ArgsT args) :
221  opcode_(opcode), shape_(shape), args_(args) {}
222 
224  OPCODE opcode_;
225 
227  Shape shape_;
228 
230  ArgsT args_;
231 };
232 
233 }
234 
235 #endif // ADE_FUNCTOR_HPP
ade::identity
CoordPtrT identity
Identity matrix instance.
+
ade::Functor
Functor of the graph mapping to operators specified by opcode argument.
Definition: functor.hpp:96
+
ade::iFunctor
Interface of OPCODE-defined operation node.
Definition: functor.hpp:24
+
ade::iFunctor::~iFunctor
virtual ~iFunctor(void)=default
+
ade::Tensorptr::get
iTensor * get(void) const
Return the raw pointer.
Definition: tensor.hpp:93
+
ade::ArgsT
std::vector< std::pair< CoordPtrT, Tensorptr > > ArgsT
Type of functor arguments.
Definition: grader.hpp:22
+
ade::PathFinder::PathFinder
PathFinder(const iTensor *target)
Definition: functor.hpp:51
+
ade::OPCODE
OPCODE
Enumerated representation of operations.
Definition: opcode.hpp:22
+
ade::Functor::gradient
Tensorptr gradient(const iTensor *wrt) override
Implementation of iTensor.
Definition: functor.hpp:128
+
ade::PathFinder::ParentMapT
std::unordered_map< iTensor *, std::vector< bool > > ParentMapT
Type for mapping function nodes in path to boolean vector.
Definition: functor.hpp:49
+
ade::Functor::get
static Functor * get(OPCODE opcode, ArgsT args)
Return a Functor with with input tensor and meta arguments.
Definition: functor.hpp:99
+
ade::Tensorptr
Smart pointer to iTensor ensuring non-null references.
Definition: tensor.hpp:57
+
ade::iTensor::shape
virtual const Shape & shape(void) const =0
Return the shape held by this tensor.
+
ade::iTraveler::visit
virtual void visit(Tensor *leaf)=0
Visit leaf node.
+
ade::Shape::to_string
std::string to_string(void) const
Return string representation of shape.
Definition: shape.hpp:138
+
ade::iFunctor::accept
void accept(iTraveler &visiter) override
Implementation of iTensor.
Definition: functor.hpp:29
+
ade::CoordPtrT
std::shared_ptr< iCoordMap > CoordPtrT
Type of iCoordMap smartpointer.
Definition: coord.hpp:99
+
ade::Tensor
Leaf of the graph commonly representing the variable in an equation.
Definition: tensor.hpp:116
+
ade::shaped_one
Tensorptr shaped_one(Shape shape)
Return a Tensor::SYMBOLIC_ONE extended to input shape.
+ +
ade::map_shape
Shape map_shape(CoordPtrT &mapper, const Shape &shape)
Return transformed shape according to coordinate mapper on input shape.
+
ade::PathFinder::parents_
ParentMapT parents_
Map of parent nodes in path.
Definition: functor.hpp:92
+
ade::Shape::compatible_after
bool compatible_after(const Shape &other, uint8_t idx) const
Definition: shape.hpp:126
+
ade::Functor::opcode_
OPCODE opcode_
OPCODE represented by functor.
Definition: functor.hpp:224
+
ade::fatalf
void fatalf(std::string format, ARGS... args)
Fatal using global logger with arguments.
Definition: log.hpp:94
+
ade::iTensor::accept
virtual void accept(iTraveler &visiter)=0
Obtain concrete information on either leaf or functor implementations.
+
ade::iFunctor::get_code
virtual OPCODE get_code(void) const =0
Return OPCODE mapping to forward and gradient operators.
+
ade::PathFinder::target_
const iTensor * target_
Target of tensor all paths are travelling to.
Definition: functor.hpp:89
+
ade::Functor::get_code
OPCODE get_code(void) const override
Implementation of iFunctor.
Definition: functor.hpp:208
+
ade::Functor::get_children
const ArgsT & get_children(void) const override
Implementation of iFunctor.
Definition: functor.hpp:214
+
ade::PathFinder
Definition: functor.hpp:46
+
ade
Definition: coord.hpp:18
+
ade::PathFinder::visit
void visit(Tensor *leaf) override
Implementation of iTraveler.
Definition: functor.hpp:54
+
ade::Functor::args_
ArgsT args_
Tensor arguments (and children)
Definition: functor.hpp:230
+
ade::iTraveler
Interface to travel through graph, treating Tensor and iFunctor differently.
Definition: tensor.hpp:27
+
ade::iTensor
Interface of traversible and differentiable nodes with shape information.
Definition: tensor.hpp:39
+
ade::iFunctor::get_children
virtual const ArgsT & get_children(void) const =0
Return children nodes as a vector of raw pointers.
+ +
ade::PathFinder::visit
void visit(iFunctor *func) override
Implementation of iTraveler.
Definition: functor.hpp:57
+
ade::Functor::to_string
std::string to_string(void) const override
Implementation of iTensor.
Definition: functor.hpp:202
+
ade::Shape
Definition: shape.hpp:51
+
ade::ADD
Definition: opcode.hpp:51
+
ade::gradmap
Tensorptr gradmap(OPCODE op, ArgsT args, ArgsT &grads)
+
ade::Functor::shape_
Shape shape_
Shape info built at construction time according to arguments.
Definition: functor.hpp:227
+
ade::Functor::shape
const Shape & shape(void) const override
Implementation of iTensor.
Definition: functor.hpp:122
+
ade::opname
std::string opname(OPCODE opcode)
Return the string name of input OPCODE.
+
ade::Functor::Functor
Functor(OPCODE opcode, Shape shape, ArgsT args)
Definition: functor.hpp:220
+
ade::shaped_zero
Tensorptr shaped_zero(Shape shape)
Return a Tensor::SYMBOLIC_ZERO extended to input shape.
+
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#define GRAD_DECLARE(CODE)
 
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using ade::ArgsT = std::vector< std::pair< CoordPtrT, Tensorptr > >
 Type of functor arguments. More...
 
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template<OPCODE OP>
Tensorptr ade::grader (ArgsT &args, ArgsT &grads)
 
Tensorptr ade::gradmap (OPCODE op, ArgsT args, ArgsT &grads)
 
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Macro Definition Documentation

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◆ GRAD_DECLARE

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#define GRAD_DECLARE( CODE)
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template <>\
Tensorptr grader<CODE> (ArgsT&,ArgsT&);
ade::ArgsT
std::vector< std::pair< CoordPtrT, Tensorptr > > ArgsT
Type of functor arguments.
Definition: grader.hpp:22
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1 
9 #include "ade/opcode.hpp"
10 #include "ade/tensor.hpp"
11 #include "ade/coord.hpp"
12 
13 #ifndef ADE_GRADER_HPP
14 #define ADE_GRADER_HPP
15 
16 namespace ade
17 {
18 
19 // TODO: CONVERT TO GENERATED CONFIG
20 
22 using ArgsT = std::vector<std::pair<CoordPtrT,Tensorptr>>;
23 
24 template <OPCODE OP>
25 Tensorptr grader (ArgsT& args, ArgsT& grads)
26 {
27  throw std::bad_function_call();
28 }
29 
30 #define GRAD_DECLARE(CODE)template <>\
31 Tensorptr grader<CODE> (ArgsT&,ArgsT&);
32 
33 GRAD_DECLARE(COPY)
34 
35 GRAD_DECLARE(ABS)
36 
37 GRAD_DECLARE(NEG)
38 
39 GRAD_DECLARE(SIN)
40 
41 GRAD_DECLARE(COS)
42 
43 GRAD_DECLARE(TAN)
44 
45 GRAD_DECLARE(EXP)
46 
47 GRAD_DECLARE(LOG)
48 
49 GRAD_DECLARE(SQRT)
50 
51 GRAD_DECLARE(ROUND)
52 
53 GRAD_DECLARE(POW)
54 
55 GRAD_DECLARE(ADD)
56 
57 GRAD_DECLARE(SUB)
58 
59 GRAD_DECLARE(MUL)
60 
61 GRAD_DECLARE(DIV)
62 
63 GRAD_DECLARE(EQ)
64 
65 GRAD_DECLARE(NE)
66 
67 GRAD_DECLARE(LT)
68 
69 GRAD_DECLARE(GT)
70 
71 GRAD_DECLARE(MIN)
72 
73 GRAD_DECLARE(MAX)
74 
75 GRAD_DECLARE(RAND_BINO)
76 
77 GRAD_DECLARE(RAND_UNIF)
78 
79 GRAD_DECLARE(RAND_NORM)
80 
81 #undef GRAD_DECLARE
82 
83 Tensorptr gradmap (OPCODE op, ArgsT args, ArgsT& grads);
84 
85 }
86 
87 #endif // ADE_GRADER_HPP
ade::NE
Definition: opcode.hpp:79
+
ade::SQRT
Square root every element.
Definition: opcode.hpp:41
+
ade::SIN
Sine every element.
Definition: opcode.hpp:31
+
ade::RAND_BINO
Definition: opcode.hpp:92
+
ade::GT
Definition: opcode.hpp:87
+
ade::ArgsT
std::vector< std::pair< CoordPtrT, Tensorptr > > ArgsT
Type of functor arguments.
Definition: grader.hpp:22
+
ade::OPCODE
OPCODE
Enumerated representation of operations.
Definition: opcode.hpp:22
+
ade::LT
Definition: opcode.hpp:83
+
ade::MUL
Definition: opcode.hpp:58
+
ade::RAND_UNIF
Definition: opcode.hpp:97
+
ade::Tensorptr
Smart pointer to iTensor ensuring non-null references.
Definition: tensor.hpp:57
+
ade::MIN
Definition: opcode.hpp:66
+
ade::POW
Definition: opcode.hpp:48
+ +
ade::MAX
Definition: opcode.hpp:70
+
LOG
Definition: test_log.cpp:10
+
ade::ROUND
Round every element.
Definition: opcode.hpp:43
+
ade::grader
Tensorptr grader(ArgsT &args, ArgsT &grads)
Definition: grader.hpp:25
+
GRAD_DECLARE
#define GRAD_DECLARE(CODE)
Definition: grader.hpp:30
+
ade::RAND_NORM
Definition: opcode.hpp:102
+
ade::COPY
Definition: opcode.hpp:24
+
ade::EQ
Definition: opcode.hpp:75
+
ade::ABS
Make every element positive.
Definition: opcode.hpp:27
+
ade
Definition: coord.hpp:18
+
ade::TAN
Tangent every element.
Definition: opcode.hpp:35
+ +
ade::DIV
Definition: opcode.hpp:62
+ +
ade::SUB
Definition: opcode.hpp:55
+
ade::ADD
Definition: opcode.hpp:51
+
ade::gradmap
Tensorptr gradmap(OPCODE op, ArgsT args, ArgsT &grads)
+
ade::EXP
Exponent every element.
Definition: opcode.hpp:37
+
ade::NEG
Negate the sign of every element.
Definition: opcode.hpp:29
+
ade::COS
Cosine every element.
Definition: opcode.hpp:33
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+#include "llo/api.hpp"
+#include "pbm/graph.hpp"
+#include "pbm/source.hpp"
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static std::string make_uid (void *ptr, llo::EngineT &engine)
 
void save_coord (google::protobuf::RepeatedField< double > *coord, const ade::CoordPtrT &mapper)
 
ade::CoordPtrT load_coord (const google::protobuf::RepeatedField< double > &coord)
 
void save_graph (tenncor::Graph &out, std::vector< llo::DataNode > &roots)
 Marshal all equation graphs in roots vector to protobuf object. More...
 
std::vector< llo::DataNode > load_graph (const tenncor::Graph &in)
 Return all nodes in graph unmarshalled from protobuf object. More...
 
+

Function Documentation

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◆ load_coord()

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ade::CoordPtrT load_coord (const google::protobuf::RepeatedField< double > & coord)
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◆ load_graph()

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std::vector<llo::DataNode> load_graph (const tenncor::Graph & in)
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Return all nodes in graph unmarshalled from protobuf object.

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const ade::CoordPtrT & mapper 
)
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◆ save_graph()

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void save_graph (tenncor::Graph & out,
std::vector< llo::DataNode > & roots 
)
+
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Marshal all equation graphs in roots vector to protobuf object.

+

graph.hpp pbm

+

Purpose: Define functions for marshal and unmarshal equation graph

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void save_graph (tenncor::Graph &out, std::vector< llo::DataNode > &roots)
 Marshal all equation graphs in roots vector to protobuf object. More...
 
std::vector< llo::DataNode > load_graph (const tenncor::Graph &in)
 Return all nodes in graph unmarshalled from protobuf object. More...
 
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Return all nodes in graph unmarshalled from protobuf object.

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void save_graph (tenncor::Graph & out,
std::vector< llo::DataNode > & roots 
)
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Marshal all equation graphs in roots vector to protobuf object.

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graph.hpp pbm

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Purpose: Define functions for marshal and unmarshal equation graph

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1 
9 #include "llo/traveler.hpp"
10 
11 #include "pbm/graph.pb.h"
12 
14 void save_graph (tenncor::Graph& out, std::vector<llo::DataNode>& roots);
15 
17 std::vector<llo::DataNode> load_graph (const tenncor::Graph& in);
+
load_graph
std::vector< llo::DataNode > load_graph(const tenncor::Graph &in)
Return all nodes in graph unmarshalled from protobuf object.
Definition: graph.cpp:113
+
save_graph
void save_graph(tenncor::Graph &out, std::vector< llo::DataNode > &roots)
Marshal all equation graphs in roots vector to protobuf object.
Definition: graph.cpp:64
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 ▼Cllo::DataNode
 Cllo::PlaceHolder< T >DataNode of a leaf that can be assignable by data vectors
 Cllo::EvalCtxContext used to associate ade nodes to llo nodes under a particular graph
 Cllo::Executer< OP, T >
 Cllo::Executer< ade::COPY, T >
 Cllo::Executer< ade::RAND_BINO, T >
 Cllo::GenericDataGenericData for holding data when passing up the tensor graph
 Cllo::GenericRef
 ▼Cade::iCoordMapInterface for transforming coordinates and reversing the coordinate
 Cade::CoordMap
 ▼Cade::iLoggerInterface of logger used in ADE
 Cade::DefLoggerDefault implementation of iLogger used in ADE
 CTestLogger
 ▼Cllo::iSourceInterface for leaves with tensor data
 Cllo::Source< T >Leaf evaluable holding tensor data
 ▼Cade::iTensorInterface of traversible and differentiable nodes with shape information
 ▼Cade::iFunctorInterface of OPCODE-defined operation node
 Cade::FunctorFunctor of the graph mapping to operators specified by opcode argument
 Cade::TensorLeaf of the graph commonly representing the variable in an equation
 ▼Cade::iTravelerInterface to travel through graph, treating Tensor and iFunctor differently
 Cade::PathFinder
 Cllo::Evaluator
 Cllo::GraphStat
 Cade::Shape
 Cade::TensorptrSmart pointer to iTensor ensuring non-null references
 ▼CTest
 CLOG
 ▼CTestament
 CREGRESS
 ▼CTestModel
 CAPI
 CCOORD
 CDTYPE
 CFUNCTOR
 CNODE
 CSHAPE
 CTENSOR
 Cllo::VecRef< T >
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Synopsis

+

Tenncor libraries help developers build and evaluate tensor equations and its derivatives. A tensor is an N-dimensional container that organizes its content by some shape. An M by N matrix for instance, is a 2-dimensional tensor with a shape of [N, M] (according to Tenncor's x-y-z-... coordinate notation).

+

Components

+ +

This module supplies syntax tree for equation and generates derivative. Constraints to the equation is limited to each tensor's shape.

+ +

This module is a sample library of data operators mapped to the ADE opcodes. Expect this module to split when I decide to depend on external libraries (like eigen).

+ +

This module marshals llo-extended ade graph

+

Tools and utility

+
    +
  • DBG (Debugger)
    • +
+

Building

+

Tenncor uses bazel 0.15+.

+

Download bazel: https://docs.bazel.build/versions/master/install.html

+
+ +
+Generated by   +doxygen + 1.8.14 +
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0},disableSelection:function(){return this.bind((a.support.selectstart?"selectstart":"mousedown")+".ui-disableSelection",function(e){e.preventDefault()})},enableSelection:function(){return this.unbind(".ui-disableSelection")}});a.each(["Width","Height"],function(g,e){var f=e==="Width"?["Left","Right"]:["Top","Bottom"],h=e.toLowerCase(),k={innerWidth:a.fn.innerWidth,innerHeight:a.fn.innerHeight,outerWidth:a.fn.outerWidth,outerHeight:a.fn.outerHeight};function j(m,l,i,n){a.each(f,function(){l-=parseFloat(a.curCSS(m,"padding"+this,true))||0;if(i){l-=parseFloat(a.curCSS(m,"border"+this+"Width",true))||0}if(n){l-=parseFloat(a.curCSS(m,"margin"+this,true))||0}});return l}a.fn["inner"+e]=function(i){if(i===d){return k["inner"+e].call(this)}return this.each(function(){a(this).css(h,j(this,i)+"px")})};a.fn["outer"+e]=function(i,l){if(typeof i!=="number"){return k["outer"+e].call(this,i)}return this.each(function(){a(this).css(h,j(this,i,true,l)+"px")})}});function c(g,e){var j=g.nodeName.toLowerCase();if("area"===j){var i=g.parentNode,h=i.name,f;if(!g.href||!h||i.nodeName.toLowerCase()!=="map"){return false}f=a("img[usemap=#"+h+"]")[0];return !!f&&b(f)}return(/input|select|textarea|button|object/.test(j)?!g.disabled:"a"==j?g.href||e:e)&&b(g)}function b(e){return !a(e).parents().andSelf().filter(function(){return a.curCSS(this,"visibility")==="hidden"||a.expr.filters.hidden(this)}).length}a.extend(a.expr[":"],{data:function(g,f,e){return !!a.data(g,e[3])},focusable:function(e){return c(e,!isNaN(a.attr(e,"tabindex")))},tabbable:function(g){var e=a.attr(g,"tabindex"),f=isNaN(e);return(f||e>=0)&&c(g,!f)}});a(function(){var e=document.body,f=e.appendChild(f=document.createElement("div"));f.offsetHeight;a.extend(f.style,{minHeight:"100px",height:"auto",padding:0,borderWidth:0});a.support.minHeight=f.offsetHeight===100;a.support.selectstart="onselectstart" in f;e.removeChild(f).style.display="none"});a.extend(a.ui,{plugin:{add:function(f,g,j){var h=a.ui[f].prototype;for(var e in j){h.plugins[e]=h.plugins[e]||[];h.plugins[e].push([g,j[e]])}},call:function(e,g,f){var j=e.plugins[g];if(!j||!e.element[0].parentNode){return}for(var h=0;h0){return true}h[e]=1;g=(h[e]>0);h[e]=0;return g},isOverAxis:function(f,e,g){return(f>e)&&(f<(e+g))},isOver:function(j,f,i,h,e,g){return a.ui.isOverAxis(j,i,e)&&a.ui.isOverAxis(f,h,g)}})})(jQuery);/*! + * jQuery UI Widget 1.8.18 + * + * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about) + * Dual licensed under the MIT or GPL Version 2 licenses. + * http://jquery.org/license + * + * http://docs.jquery.com/UI/Widget + */ +(function(b,d){if(b.cleanData){var c=b.cleanData;b.cleanData=function(f){for(var g=0,h;(h=f[g])!=null;g++){try{b(h).triggerHandler("remove")}catch(j){}}c(f)}}else{var a=b.fn.remove;b.fn.remove=function(e,f){return this.each(function(){if(!f){if(!e||b.filter(e,[this]).length){b("*",this).add([this]).each(function(){try{b(this).triggerHandler("remove")}catch(g){}})}}return a.call(b(this),e,f)})}}b.widget=function(f,h,e){var g=f.split(".")[0],j;f=f.split(".")[1];j=g+"-"+f;if(!e){e=h;h=b.Widget}b.expr[":"][j]=function(k){return !!b.data(k,f)};b[g]=b[g]||{};b[g][f]=function(k,l){if(arguments.length){this._createWidget(k,l)}};var i=new h();i.options=b.extend(true,{},i.options);b[g][f].prototype=b.extend(true,i,{namespace:g,widgetName:f,widgetEventPrefix:b[g][f].prototype.widgetEventPrefix||f,widgetBaseClass:j},e);b.widget.bridge(f,b[g][f])};b.widget.bridge=function(f,e){b.fn[f]=function(i){var g=typeof i==="string",h=Array.prototype.slice.call(arguments,1),j=this;i=!g&&h.length?b.extend.apply(null,[true,i].concat(h)):i;if(g&&i.charAt(0)==="_"){return j}if(g){this.each(function(){var k=b.data(this,f),l=k&&b.isFunction(k[i])?k[i].apply(k,h):k;if(l!==k&&l!==d){j=l;return false}})}else{this.each(function(){var k=b.data(this,f);if(k){k.option(i||{})._init()}else{b.data(this,f,new e(i,this))}})}return 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http://jquery.org/license + * + * http://docs.jquery.com/UI/Mouse + * + * Depends: + * jquery.ui.widget.js + */ +(function(b,c){var a=false;b(document).mouseup(function(d){a=false});b.widget("ui.mouse",{options:{cancel:":input,option",distance:1,delay:0},_mouseInit:function(){var d=this;this.element.bind("mousedown."+this.widgetName,function(e){return d._mouseDown(e)}).bind("click."+this.widgetName,function(e){if(true===b.data(e.target,d.widgetName+".preventClickEvent")){b.removeData(e.target,d.widgetName+".preventClickEvent");e.stopImmediatePropagation();return false}});this.started=false},_mouseDestroy:function(){this.element.unbind("."+this.widgetName)},_mouseDown:function(f){if(a){return}(this._mouseStarted&&this._mouseUp(f));this._mouseDownEvent=f;var e=this,g=(f.which==1),d=(typeof this.options.cancel=="string"&&f.target.nodeName?b(f.target).closest(this.options.cancel).length:false);if(!g||d||!this._mouseCapture(f)){return true}this.mouseDelayMet=!this.options.delay;if(!this.mouseDelayMet){this._mouseDelayTimer=setTimeout(function(){e.mouseDelayMet=true},this.options.delay)}if(this._mouseDistanceMet(f)&&this._mouseDelayMet(f)){this._mouseStarted=(this._mouseStart(f)!==false);if(!this._mouseStarted){f.preventDefault();return true}}if(true===b.data(f.target,this.widgetName+".preventClickEvent")){b.removeData(f.target,this.widgetName+".preventClickEvent")}this._mouseMoveDelegate=function(h){return e._mouseMove(h)};this._mouseUpDelegate=function(h){return e._mouseUp(h)};b(document).bind("mousemove."+this.widgetName,this._mouseMoveDelegate).bind("mouseup."+this.widgetName,this._mouseUpDelegate);f.preventDefault();a=true;return true},_mouseMove:function(d){if(b.browser.msie&&!(document.documentMode>=9)&&!d.button){return this._mouseUp(d)}if(this._mouseStarted){this._mouseDrag(d);return d.preventDefault()}if(this._mouseDistanceMet(d)&&this._mouseDelayMet(d)){this._mouseStarted=(this._mouseStart(this._mouseDownEvent,d)!==false);(this._mouseStarted?this._mouseDrag(d):this._mouseUp(d))}return !this._mouseStarted},_mouseUp:function(d){b(document).unbind("mousemove."+this.widgetName,this._mouseMoveDelegate).unbind("mouseup."+this.widgetName,this._mouseUpDelegate);if(this._mouseStarted){this._mouseStarted=false;if(d.target==this._mouseDownEvent.target){b.data(d.target,this.widgetName+".preventClickEvent",true)}this._mouseStop(d)}return false},_mouseDistanceMet:function(d){return(Math.max(Math.abs(this._mouseDownEvent.pageX-d.pageX),Math.abs(this._mouseDownEvent.pageY-d.pageY))>=this.options.distance)},_mouseDelayMet:function(d){return this.mouseDelayMet},_mouseStart:function(d){},_mouseDrag:function(d){},_mouseStop:function(d){},_mouseCapture:function(d){return true}})})(jQuery);(function(c,d){c.widget("ui.resizable",c.ui.mouse,{widgetEventPrefix:"resize",options:{alsoResize:false,animate:false,animateDuration:"slow",animateEasing:"swing",aspectRatio:false,autoHide:false,containment:false,ghost:false,grid:false,handles:"e,s,se",helper:false,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:1000},_create:function(){var f=this,k=this.options;this.element.addClass("ui-resizable");c.extend(this,{_aspectRatio:!!(k.aspectRatio),aspectRatio:k.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:k.helper||k.ghost||k.animate?k.helper||"ui-resizable-helper":null});if(this.element[0].nodeName.match(/canvas|textarea|input|select|button|img/i)){this.element.wrap(c('
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');if(/sw|se|ne|nw/.test(j)){h.css({zIndex:++k.zIndex})}if("se"==j){h.addClass("ui-icon ui-icon-gripsmall-diagonal-se")}this.handles[j]=".ui-resizable-"+j;this.element.append(h)}}this._renderAxis=function(q){q=q||this.element;for(var n in this.handles){if(this.handles[n].constructor==String){this.handles[n]=c(this.handles[n],this.element).show()}if(this.elementIsWrapper&&this.originalElement[0].nodeName.match(/textarea|input|select|button/i)){var o=c(this.handles[n],this.element),p=0;p=/sw|ne|nw|se|n|s/.test(n)?o.outerHeight():o.outerWidth();var m=["padding",/ne|nw|n/.test(n)?"Top":/se|sw|s/.test(n)?"Bottom":/^e$/.test(n)?"Right":"Left"].join("");q.css(m,p);this._proportionallyResize()}if(!c(this.handles[n]).length){continue}}};this._renderAxis(this.element);this._handles=c(".ui-resizable-handle",this.element).disableSelection();this._handles.mouseover(function(){if(!f.resizing){if(this.className){var i=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)}f.axis=i&&i[1]?i[1]:"se"}});if(k.autoHide){this._handles.hide();c(this.element).addClass("ui-resizable-autohide").hover(function(){if(k.disabled){return}c(this).removeClass("ui-resizable-autohide");f._handles.show()},function(){if(k.disabled){return}if(!f.resizing){c(this).addClass("ui-resizable-autohide");f._handles.hide()}})}this._mouseInit()},destroy:function(){this._mouseDestroy();var e=function(g){c(g).removeClass("ui-resizable ui-resizable-disabled ui-resizable-resizing").removeData("resizable").unbind(".resizable").find(".ui-resizable-handle").remove()};if(this.elementIsWrapper){e(this.element);var f=this.element;f.after(this.originalElement.css({position:f.css("position"),width:f.outerWidth(),height:f.outerHeight(),top:f.css("top"),left:f.css("left")})).remove()}this.originalElement.css("resize",this.originalResizeStyle);e(this.originalElement);return this},_mouseCapture:function(f){var g=false;for(var e in this.handles){if(c(this.handles[e])[0]==f.target){g=true}}return !this.options.disabled&&g},_mouseStart:function(g){var j=this.options,f=this.element.position(),e=this.element;this.resizing=true;this.documentScroll={top:c(document).scrollTop(),left:c(document).scrollLeft()};if(e.is(".ui-draggable")||(/absolute/).test(e.css("position"))){e.css({position:"absolute",top:f.top,left:f.left})}this._renderProxy();var k=b(this.helper.css("left")),h=b(this.helper.css("top"));if(j.containment){k+=c(j.containment).scrollLeft()||0;h+=c(j.containment).scrollTop()||0}this.offset=this.helper.offset();this.position={left:k,top:h};this.size=this._helper?{width:e.outerWidth(),height:e.outerHeight()}:{width:e.width(),height:e.height()};this.originalSize=this._helper?{width:e.outerWidth(),height:e.outerHeight()}:{width:e.width(),height:e.height()};this.originalPosition={left:k,top:h};this.sizeDiff={width:e.outerWidth()-e.width(),height:e.outerHeight()-e.height()};this.originalMousePosition={left:g.pageX,top:g.pageY};this.aspectRatio=(typeof j.aspectRatio=="number")?j.aspectRatio:((this.originalSize.width/this.originalSize.height)||1);var i=c(".ui-resizable-"+this.axis).css("cursor");c("body").css("cursor",i=="auto"?this.axis+"-resize":i);e.addClass("ui-resizable-resizing");this._propagate("start",g);return true},_mouseDrag:function(e){var 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+
+Functions
+
+
main.cpp File Reference
+
+
+
#include "gtest/gtest.h"
+#include "simple/jack.hpp"
+
+ + + +

+Functions

int main (int argc, char **argv)
 
+

Function Documentation

+ +

◆ main()

+ +
+
+ + + + + + + + + + + + + + + + + + +
int main (int argc,
char ** argv 
)
+
+ +
+
+ + +
+Generated by   +doxygen + 1.8.14 +
+ + diff --git a/docs/llo_2test_2regress_2main_8cpp.html b/docs/llo_2test_2regress_2main_8cpp.html new file mode 100644 index 000000000..f6dbdf9ec --- /dev/null +++ b/docs/llo_2test_2regress_2main_8cpp.html @@ -0,0 +1,811 @@ + + + + + + + +Tenncor: llo/test/regress/main.cpp File Reference + + + + + + + + + +
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+Classes | +Functions
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main.cpp File Reference
+
+
+
#include <cassert>
+#include "gtest/gtest.h"
+#include "anteroc/testcase.hpp"
+#include "llo/api.hpp"
+
+ + + +

+Classes

struct  REGRESS
 
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

+Functions

void EXPECT_DATA_EQ (std::string name, std::vector< double > expect, std::vector< double > got)
 
void EXPECT_DATA_APPROX (std::string name, std::vector< double > expect, std::vector< double > got)
 
static ade::Shape get_shape (testify::GeneratedCase &gcase)
 
static std::vector< double > get_input_data (testify::GeneratedCase &gcase, std::string key)
 
static std::vector< double > get_output_data (testify::GeneratedCase &gcase, std::string key)
 
static void unary_op (antero::Testament *test, std::string tname, std::function< llo::DataNode(llo::DataNode &)> op)
 
static void binary_op (antero::Testament *test, std::string tname, std::function< llo::DataNode(llo::DataNode &, llo::DataNode &)> op)
 
int main (int argc, char **argv)
 
 TEST_F (REGRESS, Abs)
 
 TEST_F (REGRESS, Neg)
 
 TEST_F (REGRESS, Sin)
 
 TEST_F (REGRESS, Cos)
 
 TEST_F (REGRESS, Tan)
 
 TEST_F (REGRESS, Exp)
 
 TEST_F (REGRESS, Log)
 
 TEST_F (REGRESS, Sqrt)
 
 TEST_F (REGRESS, Pow)
 
 TEST_F (REGRESS, Add)
 
 TEST_F (REGRESS, Sub)
 
 TEST_F (REGRESS, Mul)
 
 TEST_F (REGRESS, Div)
 
 TEST_F (REGRESS, Matmul)
 
+

Function Documentation

+ +

◆ binary_op()

+ +
+
+ + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + +
static void binary_op (antero::Testament * test,
std::string tname,
std::function< llo::DataNode(llo::DataNode &, llo::DataNode &)> op 
)
+ 		+static
+
+ +
+
+ +

◆ EXPECT_DATA_APPROX()

+ +
+
+ + + + + + + + + + + + + + + + + + + + + + + + +
void EXPECT_DATA_APPROX (std::string name,
std::vector< double > expect,
std::vector< double > got 
)
+
+ +
+
+ +

◆ EXPECT_DATA_EQ()

+ +
+
+ + + + + + + + + + + + + + + + + + + + + + + + +
void EXPECT_DATA_EQ (std::string name,
std::vector< double > expect,
std::vector< double > got 
)
+
+ +
+
+ +

◆ get_input_data()

+ +
+
+ + + + + +
+ + + + + + + + + + + + + + + + + + +
static std::vector<double> get_input_data (testify::GeneratedCase & gcase,
std::string key 
)
+ 		+static
+
+ +
+
+ +

◆ get_output_data()

+ +
+
+ + + + + +
+ + + + + + + + + + + + + + + + + + +
static std::vector<double> get_output_data (testify::GeneratedCase & gcase,
std::string key 
)
+ 		+static
+
+ +
+
+ +

◆ get_shape()

+ +
+
+ + + + + +
+ + + + + + + + +
static ade::Shape get_shape (testify::GeneratedCase & gcase)
+ 		+static
+
+ +
+
+ +

◆ main()

+ +
+
+ + + + + + + + + + + + + + + + + + +
int main (int argc,
char ** argv 
)
+
+ +
+
+ +

◆ TEST_F() [1/14]

+ +
+
+ + + + + + + + + + + + + + + + + + +
TEST_F (REGRESS ,
Abs  
)
+
+ +
+
+ +

◆ TEST_F() [2/14]

+ +
+
+ + + + + + + + + + + + + + + + + + +
TEST_F (REGRESS ,
Neg  
)
+
+ +
+
+ +

◆ TEST_F() [3/14]

+ +
+
+ + + + + + + + + + + + + + + + + + +
TEST_F (REGRESS ,
Sin  
)
+
+ +
+
+ +

◆ TEST_F() [4/14]

+ +
+
+ + + + + + + + + + + + + + + + + + +
TEST_F (REGRESS ,
Cos  
)
+
+ +
+
+ +

◆ TEST_F() [5/14]

+ +
+
+ + + + + + + + + + + + + + + + + + +
TEST_F (REGRESS ,
Tan  
)
+
+ +
+
+ +

◆ TEST_F() [6/14]

+ +
+
+ + + + + + + + + + + + + + + + + + +
TEST_F (REGRESS ,
Exp  
)
+
+ +
+
+ +

◆ TEST_F() [7/14]

+ +
+
+ + + + + + + + + + + + + + + + + + +
TEST_F (REGRESS ,
Log  
)
+
+ +
+
+ +

◆ TEST_F() [8/14]

+ +
+
+ + + + + + + + + + + + + + + + + + +
TEST_F (REGRESS ,
Sqrt  
)
+
+ +
+
+ +

◆ TEST_F() [9/14]

+ +
+
+ + + + + + + + + + + + + + + + + + +
TEST_F (REGRESS ,
Pow  
)
+
+ +
+
+ +

◆ TEST_F() [10/14]

+ +
+
+ + + + + + + + + + + + + + + + + + +
TEST_F (REGRESS ,
Add  
)
+
+ +
+
+ +

◆ TEST_F() [11/14]

+ +
+
+ + + + + + + + + + + + + + + + + + +
TEST_F (REGRESS ,
Sub  
)
+
+ +
+
+ +

◆ TEST_F() [12/14]

+ +
+
+ + + + + + + + + + + + + + + + + + +
TEST_F (REGRESS ,
Mul  
)
+
+ +
+
+ +

◆ TEST_F() [13/14]

+ +
+
+ + + + + + + + + + + + + + + + + + +
TEST_F (REGRESS ,
Div  
)
+
+ +
+
+ +

◆ TEST_F() [14/14]

+ +
+
+ + + + + + + + + + + + + + + + + + +
TEST_F (REGRESS ,
Matmul  
)
+
+ +
+
+ +

◆ unary_op()

+ +
+
+ + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + +
static void unary_op (antero::Testament * test,
std::string tname,
std::function< llo::DataNode(llo::DataNode &)> op 
)
+ 		+static
+
+ +
+
+
+ +
+Generated by   +doxygen + 1.8.14 +
+ + diff --git a/docs/log_8cpp.html b/docs/log_8cpp.html new file mode 100644 index 000000000..57caa9273 --- /dev/null +++ b/docs/log_8cpp.html @@ -0,0 +1,81 @@ + + + + + + + +Tenncor: ade/log/log.cpp File Reference + + + + + + + + + +
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log.cpp File Reference
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#include "ade/log/log.hpp"
+
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log.hpp File Reference
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#include <iostream>
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Go to the source code of this file.

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+Classes

struct  ade::iLogger
 Interface of logger used in ADE. More...
 
struct  ade::DefLogger
 Default implementation of iLogger used in ADE. More...
 
+ + + +

+Namespaces

 ade
 
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + +

+Functions

void ade::set_logger (std::shared_ptr< iLogger > logger)
 Set input logger for ADE global logger. More...
 
const iLogger & ade::get_logger (void)
 Get reference to ADE global logger. More...
 
void ade::warn (std::string msg)
 Warn using global logger. More...
 
void ade::error (std::string msg)
 Error using global logger. More...
 
void ade::fatal (std::string msg)
 Fatal using global logger. More...
 
template<typename... ARGS>
void ade::warnf (std::string format, ARGS... args)
 Warn using global logger with arguments. More...
 
template<typename... ARGS>
void ade::errorf (std::string format, ARGS... args)
 Error using global logger with arguments. More...
 
template<typename... ARGS>
void ade::fatalf (std::string format, ARGS... args)
 Fatal using global logger with arguments. More...
 
+ + + + + + + +

+Variables

const std::string ade::warn_tag = "[WARNING]:"
 String tagged prepending a warning message in default logger. More...
 
const std::string ade::err_tag = "[ERROR]:"
 String tagged prepending an error message in default logger. More...
 
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log.hpp
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+Go to the documentation of this file.
1 
9 #include <iostream>
10 #include <memory>
11 
12 #include "ade/log/string.hpp"
13 
14 #ifndef ADE_LOG_HPP
15 #define ADE_LOG_HPP
16 
17 namespace ade
18 {
19 
21 struct iLogger
22 {
23  virtual ~iLogger (void) = default;
24 
26  virtual void warn (std::string msg) const = 0;
27 
29  virtual void error (std::string msg) const = 0;
30 
32  virtual void fatal (std::string msg) const = 0;
33 };
34 
36 const std::string warn_tag = "[WARNING]:";
37 
39 const std::string err_tag = "[ERROR]:";
40 
42 struct DefLogger : public iLogger
43 {
45  void warn (std::string msg) const override
46  {
47  std::cerr << warn_tag << msg << std::endl;
48  }
49 
51  void error (std::string msg) const override
52  {
53  std::cerr << err_tag << msg << std::endl;
54  }
55 
57  void fatal (std::string msg) const override
58  {
59  throw std::runtime_error(msg);
60  }
61 };
62 
64 void set_logger (std::shared_ptr<iLogger> logger);
65 
67 const iLogger& get_logger (void);
68 
70 void warn (std::string msg);
71 
73 void error (std::string msg);
74 
76 void fatal (std::string msg);
77 
79 template <typename... ARGS>
80 void warnf (std::string format, ARGS... args)
81 {
82  warn(ade::sprintf(format, args...));
83 }
84 
86 template <typename... ARGS>
87 void errorf (std::string format, ARGS... args)
88 {
89  error(ade::sprintf(format, args...));
90 }
91 
93 template <typename... ARGS>
94 void fatalf (std::string format, ARGS... args)
95 {
96  fatal(ade::sprintf(format, args...));
97 }
98 
99 }
100 
101 #endif // ADE_LOG_HPP
ade::sprintf
std::string sprintf(std::string format, ARGS... args)
Return std::string with snprintf formatting.
Definition: string.hpp:85
+
ade::iLogger::error
virtual void error(std::string msg) const =0
Notify user of message regarding recoverable error.
+
ade::error
void error(std::string msg)
Error using global logger.
+
ade::err_tag
const std::string err_tag
String tagged prepending an error message in default logger.
Definition: log.hpp:39
+
ade::set_logger
void set_logger(std::shared_ptr< iLogger > logger)
Set input logger for ADE global logger.
+
ade::iLogger
Interface of logger used in ADE.
Definition: log.hpp:21
+
ade::get_logger
const iLogger & get_logger(void)
Get reference to ADE global logger.
+
ade::warnf
void warnf(std::string format, ARGS... args)
Warn using global logger with arguments.
Definition: log.hpp:80
+
ade::errorf
void errorf(std::string format, ARGS... args)
Error using global logger with arguments.
Definition: log.hpp:87
+
ade::fatalf
void fatalf(std::string format, ARGS... args)
Fatal using global logger with arguments.
Definition: log.hpp:94
+
ade::DefLogger::warn
void warn(std::string msg) const override
Implementation of iLogger.
Definition: log.hpp:45
+
ade::warn
void warn(std::string msg)
Warn using global logger.
+
ade
Definition: coord.hpp:18
+
ade::iLogger::warn
virtual void warn(std::string msg) const =0
Warn user of message regarding poor decisions.
+
ade::fatal
void fatal(std::string msg)
Fatal using global logger.
+ +
ade::DefLogger::fatal
void fatal(std::string msg) const override
Implementation of iLogger.
Definition: log.hpp:57
+
ade::DefLogger
Default implementation of iLogger used in ADE.
Definition: log.hpp:42
+
ade::DefLogger::error
void error(std::string msg) const override
Implementation of iLogger.
Definition: log.hpp:51
+
ade::iLogger::~iLogger
virtual ~iLogger(void)=default
+
ade::warn_tag
const std::string warn_tag
String tagged prepending a warning message in default logger.
Definition: log.hpp:36
+
ade::iLogger::fatal
virtual void fatal(std::string msg) const =0
Notify user of message regarding fatal error, then finish him.
+
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matops.cpp File Reference
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#include <cassert>
+#include <cstring>
+#include "ade/matops.hpp"
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matops.hpp File Reference
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#include "ade/shape.hpp"
+
+

Go to the source code of this file.

+ + + + +

+Namespaces

 ade
 
+ + + + +

+Typedefs

using ade::MatrixT = double[mat_dim][mat_dim]
 Coordinate transformation matrix (using homogeneous) More...
 
+ + + + + + + +

+Functions

std::string ade::to_string (const MatrixT &mat)
 Return the string representation of input matrix. More...
 
void ade::inverse (MatrixT out, const MatrixT &in)
 Inverse in matrix and dump to out matrix. More...
 
+ + + + + + + +

+Variables

const uint8_t ade::mat_dim = rank_cap + 1
 Number of rows and columns for the homogeneous matrix. More...
 
const size_t ade::mat_size = sizeof(double) * mat_dim * mat_dim
 Number of bytes in a homogeneous matrix. More...
 
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matops.hpp
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1 
10 #include "ade/shape.hpp"
11 
12 #ifndef ADE_MATOPS_HPP
13 #define ADE_MATOPS_HPP
14 
15 namespace ade
16 {
17 
19 const uint8_t mat_dim = rank_cap + 1;
20 
22 const size_t mat_size = sizeof(double) * mat_dim * mat_dim;
23 
25 using MatrixT = double[mat_dim][mat_dim];
26 
28 std::string to_string (const MatrixT& mat);
29 
31 void inverse (MatrixT out, const MatrixT& in);
32 
33 }
34 
35 #endif
ade::rank_cap
const uint8_t rank_cap
Number of dimsensions in a shape/coordinate.
Definition: shape.hpp:36
+
ade::mat_dim
const uint8_t mat_dim
Number of rows and columns for the homogeneous matrix.
Definition: matops.hpp:19
+
ade::mat_size
const size_t mat_size
Number of bytes in a homogeneous matrix.
Definition: matops.hpp:22
+
ade::MatrixT
double[mat_dim][mat_dim] MatrixT
Coordinate transformation matrix (using homogeneous)
Definition: matops.hpp:25
+ +
ade
Definition: coord.hpp:18
+
ade::to_string
std::string to_string(T arg)
Return string representation for common arguments.
Definition: string.hpp:67
+
ade::inverse
void inverse(MatrixT out, const MatrixT &in)
Inverse in matrix and dump to out matrix.
+
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+ + diff --git a/docs/md_ade__r_e_a_d_m_e__a_d_e.html b/docs/md_ade__r_e_a_d_m_e__a_d_e.html new file mode 100644 index 000000000..61d3747b9 --- /dev/null +++ b/docs/md_ade__r_e_a_d_m_e__a_d_e.html @@ -0,0 +1,112 @@ + + + + + + + +Tenncor: ADE (Automatic Differentiation Engine) + + + + + + + + + +
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ADE (Automatic Differentiation Engine)
+
+
+

Given an equation built from tensors (variable defined by the shape of the data) and operations, generate a derivative of the equation.

+

What are shapes? And why are they here?

+

Shapes are arrays of integers representing how the data is sorted. A matrix is typically represented by a row and a column. In ADE, we treat row as the limit of the data along the y-axis, and the column as the data limit along the x-axis. Together, we represent a matrix by the shape [col, row].

+

Since equations involve shape-changing operations, we include shapes here to validate whether an equation is valid under the shape constraints. For example, a dot operation must be performed against matrices with a common dimension.

+

Where is the data?

+

Data calculation is not included here because implementing such operations are implementation details best deferred, because optimizing operations are hard. Instead, use an external library.

+

Adding more operations

+

Users must implement their own iTensor that performs a gradient operation (the chain rule of said operation).

+

Cons

+

Currently, this generator makes no guarantee on the efficiency of the generated equation.

+

Test Plan

+

ADE comprises of 5 components:

+
    +
  • Shape
    • +
  • Tensor
    • +
  • Fwder
    • +
  • Functor
    • +
  • Grader
    • +
+

With the exception of Grader, the remaining 4 components can have their test data auto-generated due to their expected output following an expected rule.

+

Shapes

+

Shapes behave like an array and and hold information regarding their initial integer array

+

Tensors

+

Tensors hold shape info, and their gradient is 1 or 0 depending on the node it's deriving with respect to

+

Fwders

+

Forwarders aggregate and transform shape information and fall in 3 classes:

+
    +
  • elementary (or identity): these reject non-scalar shapes that are not compatible with other non-scalar shapes
    • +
  • coordinate transformer: takes a single shape and an integer array argument. This integer array holds some dimension information on how to transform the shape.
    • +
  • multi-argument aggregators: such as matrix multiplication or convolution
    • +
+

Since all forwarders conform to a specific rule, their expected behavior can inferred from auto-generated input (mostly shapes).

+

Functors

+

Functors wrap the components and its gradient should conform to the grader associated with its initial opcode. Tests in functor should be minimal, but still cover trivial cases getting arguments, to_string and basic gradient outputs, due to potential typos later on.

+

Graders

+

Graders specify the chain rule mapped by a specific operation. Its behavior is adhoc, so it does not benefit from auto-generation. Easiest test is to stringify the generated equation tree and match against test data

+
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LLO (Low-Level Operators)
+
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+

Using ADE, construct an equation graph, wrap data-relevant arguments missing in ADE nodes (e.g.: flip dimension), then map the nodes to a low level implementation of the operator mapped by the node.

+

LLO provides an evaluation function which directs the appropriate arguments to the mapped operation implementation.

+

Future Work

+

In order for decouple the ADE extension from the operator implementations, we need to experiment and settle on a stable API. This module is ultimately a wrapper library for ADE, and operator libraries for the benefit of top-level executables.

+
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+ + diff --git a/docs/md_pbm__r_e_a_d_m_e__p_b_m.html b/docs/md_pbm__r_e_a_d_m_e__p_b_m.html new file mode 100644 index 000000000..a2b3af35a --- /dev/null +++ b/docs/md_pbm__r_e_a_d_m_e__p_b_m.html @@ -0,0 +1,80 @@ + + + + + + + +Tenncor: PBM (Protobuf Marshaller) + + + + + + + + + +
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PBM (Protobuf Marshaller)
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Serialize ADE and LLO-extended graphs created by top-level code in protobuf format.

+

Protobuf is platform independent format for structured data.

+

Why Protobuf

+

Because the library can be used across all the languages I'm familiar with. It's also more transparent and less bug-ridden than most free JSON parsing libraries.

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+{text:"Variables",url:"functions_vars.html",children:[ +{text:"a",url:"functions_vars.html#index_a"}, +{text:"b",url:"functions_vars.html#index_b"}, +{text:"c",url:"functions_vars.html#index_c"}, +{text:"d",url:"functions_vars.html#index_d"}, +{text:"f",url:"functions_vars.html#index_f"}, +{text:"g",url:"functions_vars.html#index_g"}, +{text:"l",url:"functions_vars.html#index_l"}, +{text:"m",url:"functions_vars.html#index_m"}, +{text:"o",url:"functions_vars.html#index_o"}, +{text:"p",url:"functions_vars.html#index_p"}, +{text:"s",url:"functions_vars.html#index_s"}, +{text:"t",url:"functions_vars.html#index_t"}]}, +{text:"Typedefs",url:"functions_type.html"}]}]}, +{text:"Files",url:"files.html",children:[ +{text:"File List",url:"files.html"}, +{text:"File Members",url:"globals.html",children:[ +{text:"All",url:"globals.html",children:[ +{text:"a",url:"globals.html#index_a"}, +{text:"b",url:"globals.html#index_b"}, +{text:"c",url:"globals.html#index_c"}, +{text:"d",url:"globals.html#index_d"}, +{text:"e",url:"globals.html#index_e"}, +{text:"f",url:"globals.html#index_f"}, +{text:"g",url:"globals.html#index_g"}, +{text:"l",url:"globals.html#index_l"}, +{text:"m",url:"globals.html#index_m"}, +{text:"n",url:"globals.html#index_n"}, +{text:"p",url:"globals.html#index_p"}, +{text:"r",url:"globals.html#index_r"}, +{text:"s",url:"globals.html#index_s"}, +{text:"t",url:"globals.html#index_t"}, +{text:"u",url:"globals.html#index_u"}]}, +{text:"Functions",url:"globals_func.html",children:[ +{text:"b",url:"globals_func.html#index_b"}, +{text:"c",url:"globals_func.html#index_c"}, +{text:"e",url:"globals_func.html#index_e"}, +{text:"f",url:"globals_func.html#index_f"}, +{text:"g",url:"globals_func.html#index_g"}, +{text:"l",url:"globals_func.html#index_l"}, +{text:"m",url:"globals_func.html#index_m"}, +{text:"r",url:"globals_func.html#index_r"}, +{text:"s",url:"globals_func.html#index_s"}, +{text:"t",url:"globals_func.html#index_t"}, +{text:"u",url:"globals_func.html#index_u"}]}, +{text:"Variables",url:"globals_vars.html"}, +{text:"Typedefs",url:"globals_type.html"}, +{text:"Macros",url:"globals_defs.html"}]}]}]} diff --git a/docs/namespaceade.html b/docs/namespaceade.html new file mode 100644 index 000000000..71ad9a398 --- /dev/null +++ b/docs/namespaceade.html @@ -0,0 +1,1519 @@ + + + + + + + +Tenncor: ade Namespace Reference + + + + + + + + + +
    +
    + + + + + + +
    +
    Tenncor +
    +
    +
    + + + + + + + + +
    +
    + + +
    + +
    + +
    +
    +
    +Classes | +Typedefs | +Enumerations | +Functions | +Variables
    +
    +
    ade Namespace Reference
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

    +Classes

    struct  CoordMap
     
    struct  DefLogger
     Default implementation of iLogger used in ADE. More...
     
    struct  Functor
     Functor of the graph mapping to operators specified by opcode argument. More...
     
    struct  iCoordMap
     Interface for transforming coordinates and reversing the coordinate. More...
     
    struct  iFunctor
     Interface of OPCODE-defined operation node. More...
     
    struct  iLogger
     Interface of logger used in ADE. More...
     
    struct  iTensor
     Interface of traversible and differentiable nodes with shape information. More...
     
    struct  iTraveler
     Interface to travel through graph, treating Tensor and iFunctor differently. More...
     
    struct  PathFinder
     
    struct  Shape
     
    struct  Tensor
     Leaf of the graph commonly representing the variable in an equation. More...
     
    struct  Tensorptr
     Smart pointer to iTensor ensuring non-null references. More...
     
    + + + + + + + + + + + + + + + + + + + + + + + +

    +Typedefs

    using CoordPtrT = std::shared_ptr< iCoordMap >
     Type of iCoordMap smartpointer. More...
     
    using ArgsT = std::vector< std::pair< CoordPtrT, Tensorptr > >
     Type of functor arguments. More...
     
    using MatrixT = double[mat_dim][mat_dim]
     Coordinate transformation matrix (using homogeneous) More...
     
    using DimT = uint8_t
     Type used for shape dimension. More...
     
    using CDimT = int16_t
     Type used for coordinate dimensions. More...
     
    using NElemT = uint64_t
     
    using ShapeT = std::array< DimT, rank_cap >
     Array type used to hold dimension info in Shape. More...
     
    using CoordT = std::array< CDimT, rank_cap >
     
    + + + + +

    +Enumerations

    enum  OPCODE {
    +  COPY = 0, +ABS, +NEG, +SIN, +
    +  COS, +TAN, +EXP, +LOG, +
    +  SQRT, +ROUND, +POW, +ADD, +
    +  SUB, +MUL, +DIV, +MIN, +
    +  MAX, +EQ, +NE, +LT, +
    +  GT, +RAND_BINO, +RAND_UNIF, +RAND_NORM, +
    +  _BAD_OP +
    + }
     Enumerated representation of operations. More...
     
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

    +Functions

    Shape map_shape (CoordPtrT &mapper, const Shape &shape)
     Return transformed shape according to coordinate mapper on input shape. More...
     
    CoordPtrT reduce (uint8_t rank, std::vector< DimT > red)
     
    CoordPtrT extend (uint8_t rank, std::vector< DimT > ext)
     
    CoordPtrT permute (std::vector< uint8_t > order)
     
    CoordPtrT flip (uint8_t dim)
     
    template<OPCODE OP>
    Tensorptr grader (ArgsT &args, ArgsT &grads)
     
    Tensorptr gradmap (OPCODE op, ArgsT args, ArgsT &grads)
     
    void set_logger (std::shared_ptr< iLogger > logger)
     Set input logger for ADE global logger. More...
     
    const iLogger & get_logger (void)
     Get reference to ADE global logger. More...
     
    void warn (std::string msg)
     Warn using global logger. More...
     
    void error (std::string msg)
     Error using global logger. More...
     
    void fatal (std::string msg)
     Fatal using global logger. More...
     
    template<typename... ARGS>
    void warnf (std::string format, ARGS... args)
     Warn using global logger with arguments. More...
     
    template<typename... ARGS>
    void errorf (std::string format, ARGS... args)
     Error using global logger with arguments. More...
     
    template<typename... ARGS>
    void fatalf (std::string format, ARGS... args)
     Fatal using global logger with arguments. More...
     
    void to_stream (std::ostream &s, const char *str)
     Stream C-style strings to s. More...
     
    void to_stream (std::ostream &s, std::string str)
     Stream std::strings to s. More...
     
    void to_stream (std::ostream &s, int8_t c)
     Stream byte-size integers and display as numbers to s. More...
     
    void to_stream (std::ostream &s, uint8_t c)
     Stream byte-size unsigned integers and display as numbers to s. More...
     
    template<typename T >
    void to_stream (std::ostream &s, T val)
     Stream generic value to s. More...
     
    template<typename Iterator >
    void to_stream (std::ostream &s, Iterator begin, Iterator end)
     Stream values between iterators as an array. More...
     
    template<typename T >
    std::string to_string (T arg)
     Return string representation for common arguments. More...
     
    template<typename Iterator >
    std::string to_string (Iterator begin, Iterator end)
     Return string representation of values between iterators. More...
     
    template<typename... ARGS>
    std::string sprintf (std::string format, ARGS... args)
     Return std::string with snprintf formatting. More...
     
    std::string to_string (const MatrixT &mat)
     Return the string representation of input matrix. More...
     
    void inverse (MatrixT out, const MatrixT &in)
     Inverse in matrix and dump to out matrix. More...
     
    std::string opname (OPCODE opcode)
     Return the string name of input OPCODE. More...
     
    OPCODE name_op (std::string oname)
     Return the OPCODE of the string name. More...
     
    NElemT index (Shape shape, CoordT coord)
     
    CoordT coordinate (Shape shape, NElemT idx)
     
    Tensorptr shaped_one (Shape shape)
     Return a Tensor::SYMBOLIC_ONE extended to input shape. More...
     
    Tensorptr shaped_zero (Shape shape)
     Return a Tensor::SYMBOLIC_ZERO extended to input shape. More...
     
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

    +Variables

    CoordPtrT identity
     Identity matrix instance. More...
     
    const std::string warn_tag = "[WARNING]:"
     String tagged prepending a warning message in default logger. More...
     
    const std::string err_tag = "[ERROR]:"
     String tagged prepending an error message in default logger. More...
     
    const char arr_begin = '['
     Symbol for the start of an array as string. More...
     
    const char arr_end = ']'
     Symbol for the end of an array as string. More...
     
    const char arr_delim = '\\'
     Symbol for the delimter between elements of an array as string. More...
     
    const uint8_t mat_dim = rank_cap + 1
     Number of rows and columns for the homogeneous matrix. More...
     
    const size_t mat_size = sizeof(double) * mat_dim * mat_dim
     Number of bytes in a homogeneous matrix. More...
     
    const uint8_t rank_cap = 8
     Number of dimsensions in a shape/coordinate. More...
     
    +

    Detailed Description

    +

    grader.hpp ade

    +

    Purpose: Define derivative chain rules and map to OPCODEs

    +

    log.hpp ade

    +

    Purpose: Define log message handling interface

    +

    string.hpp ade

    +

    Purpose: Define string conversions for displaying various types

    +

    matops.hpp ade

    +

    Purpose: Define matrix operations for coordinate transformation This functions are here to avoid external dependencies in ADE

    +

    opcode.hpp ade

    +

    Purpose: Enumerate operators and define their function signature

    +

    shape.hpp ade

    +

    Purpose: Define shapes models and coordinate to flattened index mapping

    +

    tensor.hpp ade

    +

    Purpose: Define interfaces and building blocks for an equation graph

    +

    Typedef Documentation

    + +

    ◆ ArgsT

    + +
    +
    + + + + +
    using ade::ArgsT = typedef std::vector<std::pair<CoordPtrT,Tensorptr> >
    +
    + +

    Type of functor arguments.

    + +
    +
    + +

    ◆ CDimT

    + +
    +
    + + + + +
    using ade::CDimT = typedef int16_t
    +
    + +

    Type used for coordinate dimensions.

    + +
    +
    + +

    ◆ CoordPtrT

    + +
    +
    + + + + +
    using ade::CoordPtrT = typedef std::shared_ptr<iCoordMap>
    +
    + +

    Type of iCoordMap smartpointer.

    + +
    +
    + +

    ◆ CoordT

    + +
    +
    + + + + +
    using ade::CoordT = typedef std::array<CDimT,rank_cap>
    +
    +

    Array type used to hold dimension info when transforming coordinates Coordinates are allowed to be negative, negative dimensions are counted backward from the corresponding shape dimension For example, given shape=[5], coord=[-1] is the same as coord=[4]

    + +
    +
    + +

    ◆ DimT

    + +
    +
    + + + + +
    using ade::DimT = typedef uint8_t
    +
    + +

    Type used for shape dimension.

    + +
    +
    + +

    ◆ MatrixT

    + +
    +
    + + + + +
    using ade::MatrixT = typedef double[mat_dim][mat_dim]
    +
    + +

    Coordinate transformation matrix (using homogeneous)

    + +
    +
    + +

    ◆ NElemT

    + +
    +
    + + + + +
    using ade::NElemT = typedef uint64_t
    +
    +

    Type used for flattened index DimT having 8 bits and shape comprising of 8 DimT values means a maximum flattened index of (2 ^ 8) ^ 8 = 2 ^ 64

    + +
    +
    + +

    ◆ ShapeT

    + +
    +
    + + + + +
    using ade::ShapeT = typedef std::array<DimT,rank_cap>
    +
    + +

    Array type used to hold dimension info in Shape.

    + +
    +
    +

    Enumeration Type Documentation

    + +

    ◆ OPCODE

    + +
    +
    + + + + +
    enum ade::OPCODE
    +
    + +

    Enumerated representation of operations.

    + + + + + + + + + + + + + + + + + + + + + + + + + + +
    Enumerator
    COPY 
    ABS 

    Make every element positive.

    +
    NEG 

    Negate the sign of every element.

    +
    SIN 

    Sine every element.

    +
    COS 

    Cosine every element.

    +
    TAN 

    Tangent every element.

    +
    EXP 

    Exponent every element.

    +
    LOG 

    Natural log every element.

    +
    SQRT 

    Square root every element.

    +
    ROUND 

    Round every element.

    +
    POW 

    Given tensors a, and b, for every mapped index i in range [0:max_nelems], apply std::pow operator to elements a[i] and b[i] Only accept 2 arguments

    +
    ADD 

    Given tensors, for every mapped index i in range [0:max_nelems], sum all elements arg[i] for arg in tensors

    +
    SUB 

    Given tensors a, and b, for every mapped index i in range [0:max_nelems], apply subtract elements a[i] and b[i] Only accept 2 arguments

    +
    MUL 

    Given tensors, for every mapped index i in range [0:max_nelems], multiply all elements arg[i] for arg in tensors

    +
    DIV 

    Given tensors a, and b, for every mapped index i in range [0:max_nelems], apply divide elements a[i] and b[i] Only accept 2 arguments

    +
    MIN 

    Given tensors, for every mapped index i in range [0:max_nelems], take the minimum all elements arg[i] for arg in tensors

    +
    MAX 

    Given tensors, for every mapped index i in range [0:max_nelems], take the maximum all elements arg[i] for arg in tensors

    +
    EQ 

    Given tensors a, and b, for every mapped index i in range [0:max_nelems], apply == operator to elements a[i] and b[i] Only accept 2 arguments

    +
    NE 

    Given tensors a, and b, for every mapped index i in range [0:max_nelems], apply != operator to elements a[i] and b[i] Only accept 2 arguments

    +
    LT 

    Given tensors a, and b, for every mapped index i in range [0:max_nelems], apply < operator to elements a[i] and b[i] Only accept 2 arguments

    +
    GT 

    Given tensors a, and b, for every mapped index i in range [0:max_nelems], apply > operator to elements a[i] and b[i] Only accept 2 arguments

    +
    RAND_BINO 

    Given tensors a, and b, for every mapped index i in range [0:max_nelems], apply std::binomial_distribution function to elements a[i] and b[i] Only accept 2 arguments

    +
    RAND_UNIF 

    Given tensors a, and b, for every mapped index i in range [0:max_nelems], apply std::uniform_distributon function to elements a[i] and b[i] Only accept 2 arguments

    +
    RAND_NORM 

    Given tensors a, and b, for every mapped index i in range [0:max_nelems], apply std::normal_distribution function to elements a[i] and b[i] Only accept 2 arguments

    +
    _BAD_OP 

    Sentinel value of bad opcodes.

    +
    + +
    +
    +

    Function Documentation

    + +

    ◆ coordinate()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    CoordT ade::coordinate (Shape shape,
    NElemT idx 
    )
    +
    +

    Return the coordinate of a flat index according to shape Coordinate dimensions are 0-based For example [0, 0, ..., 0] <-> 0

    + +
    +
    + +

    ◆ error()

    + +
    +
    + + + + + + + + +
    void ade::error (std::string msg)
    +
    + +

    Error using global logger.

    + +
    +
    + +

    ◆ errorf()

    + +
    +
    +
    +template<typename... ARGS>
    + + + + + + + + + + + + + + + + + + +
    void ade::errorf (std::string format,
    ARGS... args 
    )
    +
    + +

    Error using global logger with arguments.

    + +
    +
    + +

    ◆ extend()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    CoordPtrT ade::extend (uint8_t rank,
    std::vector< DimT > ext 
    )
    +
    +

    Return coordinate mapper multiplying dimensions after rank by values in ext vector For example, given coordinate [6, 6, 2, 2], rank=2, and ext=[3, 3], mapper forward transforms to coordinate [6, 6, 6, 6]

    + +
    +
    + +

    ◆ fatal()

    + +
    +
    + + + + + + + + +
    void ade::fatal (std::string msg)
    +
    + +

    Fatal using global logger.

    + +
    +
    + +

    ◆ fatalf()

    + +
    +
    +
    +template<typename... ARGS>
    + + + + + + + + + + + + + + + + + + +
    void ade::fatalf (std::string format,
    ARGS... args 
    )
    +
    + +

    Fatal using global logger with arguments.

    + +
    +
    + +

    ◆ flip()

    + +
    +
    + + + + + + + + +
    CoordPtrT ade::flip (uint8_t dim)
    +
    +

    Return coordinate mapper flipping coordinate value at specified dimension Flipped dimension with original value x is represented as -x-1 (see CoordT definition)

    + +
    +
    + +

    ◆ get_logger()

    + +
    +
    + + + + + + + + +
    const iLogger& ade::get_logger (void )
    +
    + +

    Get reference to ADE global logger.

    + +
    +
    + +

    ◆ grader()

    + +
    +
    +
    +template<OPCODE OP>
    + + + + + + + + + + + + + + + + + + +
    Tensorptr ade::grader (ArgsT & args,
    ArgsT & grads 
    )
    +
    + +
    +
    + +

    ◆ gradmap()

    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    Tensorptr ade::gradmap (OPCODE op,
    ArgsT args,
    ArgsT & grads 
    )
    +
    + +
    +
    + +

    ◆ index()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    NElemT ade::index (Shape shape,
    CoordT coord 
    )
    +
    +

    Return the flat index mapped by coord according to shape For example, 2-D tensor has indices in place of value as follows: [[0, 1, ..., n-1], [n, n+1, ..., 2*n-1]] The index follows the equation: index = coord[0]+coord[1]*shape[0]+... Invalid coordinate where the coordinate value is beyond the dimension for any index will report error

    + +
    +
    + +

    ◆ inverse()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    void ade::inverse (MatrixT out,
    const MatrixT & in 
    )
    +
    + +

    Inverse in matrix and dump to out matrix.

    + +
    +
    + +

    ◆ map_shape()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    Shape ade::map_shape (CoordPtrT & mapper,
    const Shape & shape 
    )
    +
    + +

    Return transformed shape according to coordinate mapper on input shape.

    + +
    +
    + +

    ◆ name_op()

    + +
    +
    + + + + + + + + +
    OPCODE ade::name_op (std::string oname)
    +
    + +

    Return the OPCODE of the string name.

    + +
    +
    + +

    ◆ opname()

    + +
    +
    + + + + + + + + +
    std::string ade::opname (OPCODE opcode)
    +
    + +

    Return the string name of input OPCODE.

    + +
    +
    + +

    ◆ permute()

    + +
    +
    + + + + + + + + +
    CoordPtrT ade::permute (std::vector< uint8_t > order)
    +
    +

    Return coordinate mapper permuting coordinate according to input order Order is a vector of indices of the dimensions to appear in order Indices not referenced by order but less than rank_cap will be appended by numerical order For example, given coordinate [1, 2, 3, 4], order=[1, 3], mapper forward transforms to coordinate [2, 4, 1, 3] Returned coordinate mapper will be a CoordMap instance, so inversibility requires order indices be unique, otherwise throw fatal error

    + +
    +
    + +

    ◆ reduce()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    CoordPtrT ade::reduce (uint8_t rank,
    std::vector< DimT > red 
    )
    +
    +

    Return coordinate mapper dividing dimensions after rank by values in red vector For example, given coordinate [2, 2, 6, 6], rank=2, and red=[3, 3], mapper forward transforms to coordinate [2, 2, 2, 2]

    + +
    +
    + +

    ◆ set_logger()

    + +
    +
    + + + + + + + + +
    void ade::set_logger (std::shared_ptr< iLogger > logger)
    +
    + +

    Set input logger for ADE global logger.

    + +
    +
    + +

    ◆ shaped_one()

    + +
    +
    + + + + + + + + +
    Tensorptr ade::shaped_one (Shape shape)
    +
    + +

    Return a Tensor::SYMBOLIC_ONE extended to input shape.

    + +
    +
    + +

    ◆ shaped_zero()

    + +
    +
    + + + + + + + + +
    Tensorptr ade::shaped_zero (Shape shape)
    +
    + +

    Return a Tensor::SYMBOLIC_ZERO extended to input shape.

    + +
    +
    + +

    ◆ sprintf()

    + +
    +
    +
    +template<typename... ARGS>
    + + + + + + + + + + + + + + + + + + +
    std::string ade::sprintf (std::string format,
    ARGS... args 
    )
    +
    + +

    Return std::string with snprintf formatting.

    + +
    +
    + +

    ◆ to_stream() [1/6]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    void ade::to_stream (std::ostream & s,
    const char * str 
    )
    +
    + +

    Stream C-style strings to s.

    + +
    +
    + +

    ◆ to_stream() [2/6]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    void ade::to_stream (std::ostream & s,
    std::string str 
    )
    +
    + +

    Stream std::strings to s.

    + +
    +
    + +

    ◆ to_stream() [3/6]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    void ade::to_stream (std::ostream & s,
    int8_t c 
    )
    +
    + +

    Stream byte-size integers and display as numbers to s.

    + +
    +
    + +

    ◆ to_stream() [4/6]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    void ade::to_stream (std::ostream & s,
    uint8_t c 
    )
    +
    + +

    Stream byte-size unsigned integers and display as numbers to s.

    + +
    +
    + +

    ◆ to_stream() [5/6]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + +
    void ade::to_stream (std::ostream & s,
    T val 
    )
    +
    + +

    Stream generic value to s.

    + +
    +
    + +

    ◆ to_stream() [6/6]

    + +
    +
    +
    +template<typename Iterator >
    + + + + + + + + + + + + + + + + + + + + + + + + +
    void ade::to_stream (std::ostream & s,
    Iterator begin,
    Iterator end 
    )
    +
    + +

    Stream values between iterators as an array.

    + +
    +
    + +

    ◆ to_string() [1/3]

    + +
    +
    + + + + + + + + +
    std::string ade::to_string (const MatrixT & mat)
    +
    + +

    Return the string representation of input matrix.

    + +
    +
    + +

    ◆ to_string() [2/3]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + +
    std::string ade::to_string (T arg)
    +
    + +

    Return string representation for common arguments.

    + +
    +
    + +

    ◆ to_string() [3/3]

    + +
    +
    +
    +template<typename Iterator >
    + + + + + + + + + + + + + + + + + + +
    std::string ade::to_string (Iterator begin,
    Iterator end 
    )
    +
    + +

    Return string representation of values between iterators.

    + +
    +
    + +

    ◆ warn()

    + +
    +
    + + + + + + + + +
    void ade::warn (std::string msg)
    +
    + +

    Warn using global logger.

    + +
    +
    + +

    ◆ warnf()

    + +
    +
    +
    +template<typename... ARGS>
    + + + + + + + + + + + + + + + + + + +
    void ade::warnf (std::string format,
    ARGS... args 
    )
    +
    + +

    Warn using global logger with arguments.

    + +
    +
    +

    Variable Documentation

    + +

    ◆ arr_begin

    + +
    +
    + + + + +
    const char ade::arr_begin = '['
    +
    + +

    Symbol for the start of an array as string.

    + +
    +
    + +

    ◆ arr_delim

    + +
    +
    + + + + +
    const char ade::arr_delim = '\\'
    +
    + +

    Symbol for the delimter between elements of an array as string.

    + +
    +
    + +

    ◆ arr_end

    + +
    +
    + + + + +
    const char ade::arr_end = ']'
    +
    + +

    Symbol for the end of an array as string.

    + +
    +
    + +

    ◆ err_tag

    + +
    +
    + + + + +
    const std::string ade::err_tag = "[ERROR]:"
    +
    + +

    String tagged prepending an error message in default logger.

    + +
    +
    + +

    ◆ identity

    + +
    +
    + + + + +
    CoordPtrT ade::identity
    +
    + +

    Identity matrix instance.

    + +
    +
    + +

    ◆ mat_dim

    + +
    +
    + + + + +
    const uint8_t ade::mat_dim = rank_cap + 1
    +
    + +

    Number of rows and columns for the homogeneous matrix.

    + +
    +
    + +

    ◆ mat_size

    + +
    +
    + + + + +
    const size_t ade::mat_size = sizeof(double) * mat_dim * mat_dim
    +
    + +

    Number of bytes in a homogeneous matrix.

    + +
    +
    + +

    ◆ rank_cap

    + +
    +
    + + + + +
    const uint8_t ade::rank_cap = 8
    +
    + +

    Number of dimsensions in a shape/coordinate.

    + +
    +
    + +

    ◆ warn_tag

    + +
    +
    + + + + +
    const std::string ade::warn_tag = "[WARNING]:"
    +
    + +

    String tagged prepending a warning message in default logger.

    + +
    +
    +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/namespacello.html b/docs/namespacello.html new file mode 100644 index 000000000..cb127cc23 --- /dev/null +++ b/docs/namespacello.html @@ -0,0 +1,3590 @@ + + + + + + + +Tenncor: llo Namespace Reference + + + + + + + + + +
    +
    + + + + + + +
    +
    Tenncor +
    +
    +
    + + + + + + + + +
    +
    + + +
    + +
    + +
    +
    +
    +Classes | +Typedefs | +Enumerations | +Functions
    +
    +
    llo Namespace Reference
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

    +Classes

    struct  DataNode
     
    struct  EvalCtx
     Context used to associate ade nodes to llo nodes under a particular graph. More...
     
    struct  Evaluator
     
    struct  Executer
     
    struct  Executer< ade::COPY, T >
     
    struct  Executer< ade::RAND_BINO, T >
     
    struct  GenericData
     GenericData for holding data when passing up the tensor graph. More...
     
    struct  GenericRef
     
    struct  GraphStat
     
    struct  iSource
     Interface for leaves with tensor data. More...
     
    struct  PlaceHolder
     DataNode of a leaf that can be assignable by data vectors. More...
     
    struct  Source
     Leaf evaluable holding tensor data. More...
     
    struct  VecRef
     
    + + + + + + + + + +

    +Typedefs

    using SourcePoolT = std::unordered_map< ade::iTensor *, std::shared_ptr< iSource > >
     Type used by context to associate ade::Tensors to Sources. More...
     
    using EngineT = std::default_random_engine
     RNG engine used. More...
     
    using DataArgsT = std::vector< std::pair< ade::CoordPtrT, GenericData > >
     
    + + + + +

    +Enumerations

    enum  DTYPE {
    +  BAD = 0, +DOUBLE, +FLOAT, +INT8, +
    +  INT16, +INT32, +INT64, +UINT8, +
    +  UINT16, +UINT32, +UINT64 +
    + }
     Enumerated representation of data types. More...
     
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

    +Functions

    DataNode one (ade::Shape shape)
     Returns DataNode with SYMBOLIC_ONE extended to input shape. More...
     
    DataNode abs (DataNode arg)
     Element-wise absolute operation. More...
     
    DataNode neg (DataNode arg)
     Element-wise negative operation. More...
     
    DataNode sin (DataNode arg)
     Element-wise sine operation. More...
     
    DataNode cos (DataNode arg)
     Element-wise cosine operation. More...
     
    DataNode tan (DataNode arg)
     Element-wise tangent operation. More...
     
    DataNode exp (DataNode arg)
     Element-wise exponent operation. More...
     
    DataNode log (DataNode arg)
     Element-wise natural log operation. More...
     
    DataNode sqrt (DataNode arg)
     Element-wise square root operation. More...
     
    DataNode round (DataNode arg)
     Element-wise round operation. More...
     
    DataNode flip (DataNode arg, uint8_t dim)
     Flip values of arg along specified dimension. More...
     
    DataNode pow (DataNode a, DataNode b)
     Element-wise operation: base ^ exponent. More...
     
    DataNode add (DataNode a, DataNode b)
     Element-wise operation: a + b. More...
     
    DataNode sum (std::vector< DataNode > args)
     Get Element-wise sum of args. More...
     
    DataNode sub (DataNode a, DataNode b)
     Element-wise operation: a - b. More...
     
    DataNode mul (DataNode a, DataNode b)
     Element-wise operation: a///b. More...
     
    DataNode prod (std::vector< DataNode > args)
     Get Element-wise product of args. More...
     
    DataNode div (DataNode a, DataNode b)
     Element-wise operation: a / b. More...
     
    DataNode eq (DataNode a, DataNode b)
     Element-wise operation: a == b. More...
     
    DataNode neq (DataNode a, DataNode b)
     Element-wise operation: a != b. More...
     
    DataNode lt (DataNode a, DataNode b)
     Element-wise operation: a < b. More...
     
    DataNode gt (DataNode a, DataNode b)
     Element-wise operation: a > b. More...
     
    DataNode min (std::vector< DataNode > args)
     Get Element-wise minimum of args. More...
     
    DataNode max (std::vector< DataNode > args)
     Get Element-wise maximum of args. More...
     
    DataNode clip (DataNode x, DataNode lo, DataNode hi)
     
    DataNode rand_binom (DataNode ntrials, DataNode prob)
     Generate random numbers according to std::binomial_distribution(a, b) More...
     
    DataNode rand_uniform (DataNode lower, DataNode upper)
     Generate random numbers according to std::uniform_distributon(a, b) More...
     
    DataNode rand_normal (DataNode mean, DataNode stdev)
     Generate random numbers according to std::normal_distribution(a, b) More...
     
    DataNode n_elems (DataNode arg)
     Get n_elem of input shape as value. More...
     
    DataNode n_dims (DataNode arg, uint8_t dim)
     Get value at specified dimension of input shape. More...
     
    DataNode reduce_max (DataNode arg)
     Get the max value. More...
     
    DataNode reduce_max (DataNode arg, uint8_t groupidx)
     Apply reduce_max to elements of coordinate range [groupidx:]. More...
     
    DataNode reduce_sum (DataNode arg)
     Get the sum of all values. More...
     
    DataNode reduce_sum (DataNode arg, uint8_t groupidx)
     Apply reduce_sum to elements of coordinate range [groupidx:]. More...
     
    DataNode permute (DataNode arg, std::vector< uint8_t > order)
     
    DataNode extend (DataNode arg, uint8_t after, std::vector< uint8_t > ext)
     
    DataNode matmul (DataNode a, DataNode b)
     
    void fill_one (char *cptr, size_t n, DTYPE dtype)
     
    std::string nametype (DTYPE type)
     Return the string name of input DTYPE. More...
     
    uint8_t type_size (DTYPE type)
     Return the byte size of input DTYPE. More...
     
    template<typename T >
    DTYPE get_type (void)
     Return the DTYPE of type in template. More...
     
    template<>
    DTYPE get_type< double > (void)
     
    template<>
    DTYPE get_type< float > (void)
     
    template<>
    DTYPE get_type< int8_t > (void)
     
    template<>
    DTYPE get_type< uint8_t > (void)
     
    template<>
    DTYPE get_type< int16_t > (void)
     
    template<>
    DTYPE get_type< uint16_t > (void)
     
    template<>
    DTYPE get_type< int32_t > (void)
     
    template<>
    DTYPE get_type< uint32_t > (void)
     
    template<>
    DTYPE get_type< int64_t > (void)
     
    template<>
    DTYPE get_type< uint64_t > (void)
     
    void calc_func_args (DataArgsT &out, const EvalCtx &ctx, DTYPE dtype, ade::iFunctor *func)
     Evaluate the data of children for func according to inputs ctx and dtype. More...
     
    template<typename T >
    DataNode shaped_scalar (T scalar, ade::Shape shape)
     Return source holding a scalar value extended to input shape. More...
     
    EngineT & get_engine (void)
     Return global random generator. More...
     
    template<typename T >
    void copy (T *out, ade::Shape outshape, VecRef< T > in)
     
    template<typename T >
    void unary (T *out, VecRef< T > in, std::function< T(const T &)> f)
     Generic unary operation assuming identity mapping (bijective) More...
     
    template<typename T >
    void abs (T *out, VecRef< T > in)
     
    template<>
    void abs< uint8_t > (uint8_t *out, VecRef< uint8_t > in)
     
    template<>
    void abs< uint16_t > (uint16_t *out, VecRef< uint16_t > in)
     
    template<>
    void abs< uint32_t > (uint32_t *out, VecRef< uint32_t > in)
     
    template<>
    void abs< uint64_t > (uint64_t *out, VecRef< uint64_t > in)
     
    template<typename T >
    void neg (T *out, VecRef< T > in)
     
    template<>
    void neg< uint8_t > (uint8_t *out, VecRef< uint8_t > in)
     
    template<>
    void neg< uint16_t > (uint16_t *out, VecRef< uint16_t > in)
     
    template<>
    void neg< uint32_t > (uint32_t *out, VecRef< uint32_t > in)
     
    template<>
    void neg< uint64_t > (uint64_t *out, VecRef< uint64_t > in)
     
    template<typename T >
    void bit_not (T *out, VecRef< T > in)
     
    template<typename T >
    void sin (T *out, VecRef< T > in)
     
    template<typename T >
    void cos (T *out, VecRef< T > in)
     
    template<typename T >
    void tan (T *out, VecRef< T > in)
     
    template<typename T >
    void exp (T *out, VecRef< T > in)
     
    template<typename T >
    void log (T *out, VecRef< T > in)
     
    template<typename T >
    void sqrt (T *out, VecRef< T > in)
     
    template<typename T >
    void round (T *out, VecRef< T > in)
     
    template<typename T >
    void binary (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b, std::function< T(const T &, const T &)> f)
     Generic binary operation assuming identity mapping (bijective) More...
     
    template<typename T >
    void pow (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<typename T >
    void sub (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<typename T >
    void div (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<typename T >
    void eq (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<typename T >
    void neq (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<typename T >
    void lt (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<typename T >
    void gt (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<typename T >
    void rand_binom (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< double > b)
     
    template<>
    void rand_binom< double > (double *out, ade::Shape &outshape, VecRef< double > a, VecRef< double > b)
     
    template<>
    void rand_binom< float > (float *out, ade::Shape &outshape, VecRef< float > a, VecRef< double > b)
     
    template<typename T >
    void rand_uniform (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<>
    void rand_uniform< double > (double *out, ade::Shape &outshape, VecRef< double > a, VecRef< double > b)
     
    template<>
    void rand_uniform< float > (float *out, ade::Shape &outshape, VecRef< float > a, VecRef< float > b)
     
    template<typename T >
    void rand_normal (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<>
    void rand_normal< float > (float *out, ade::Shape &outshape, VecRef< float > a, VecRef< float > b)
     
    template<>
    void rand_normal< double > (double *out, ade::Shape &outshape, VecRef< double > a, VecRef< double > b)
     
    template<typename T >
    void nnary (T *out, ade::Shape &outshape, std::vector< VecRef< T >> args, std::function< void(T &, const T &)> acc)
     Generic n-nary operation (potentially surjective) More...
     
    template<typename T >
    void add (T *out, ade::Shape &outshape, std::vector< VecRef< T >> args)
     
    template<typename T >
    void mul (T *out, ade::Shape &outshape, std::vector< VecRef< T >> args)
     
    template<typename T >
    void min (T *out, ade::Shape &outshape, std::vector< VecRef< T >> args)
     
    template<typename T >
    void max (T *out, ade::Shape &outshape, std::vector< VecRef< T >> args)
     
    template<ade::OPCODE OP>
    void exec (GenericData &out, DataArgsT &data)
     
    void op_exec (ade::OPCODE opcode, GenericData &out, DataArgsT &data)
     
    DataNode zero_prune (DataNode root)
     
    DataNode convolute (DataNode canvas, DataNode window)
     
    static ade::Tensorptr prune0 (bool &is_zero, ade::iFunctor *func, std::vector< bool > zeros, ade::ArgsT args)
     
    +

    Detailed Description

    +

    data.hpp llo

    +

    Purpose: Define tensor data to pass up the equation graph

    +

    dtype.hpp llo

    +

    Purpose: Enumerate tensor data types

    +

    eval.hpp llo

    +

    Purpose: Define evaluation interface for calculating data

    +

    node.hpp llo

    +

    Purpose: Extend ade::iTensor with proxies that carry and evaluate tensor data

    +

    operator.hpp llo

    +

    Purpose: Define functions manipulating tensor data values No function in this file makes any attempt to check for nullptrs

    +

    opmap.hpp llo

    +

    Purpose: Associate ade::OPCODE to operations on data

    +

    traveler.hpp llo

    +

    Purpose: Define tensor iTraveler implementations given llo context

    +

    Typedef Documentation

    + +

    ◆ DataArgsT

    + +
    +
    + + + + +
    using llo::DataArgsT = typedef std::vector<std::pair<ade::CoordPtrT,GenericData> >
    +
    + +
    +
    + +

    ◆ EngineT

    + +
    +
    + + + + +
    using llo::EngineT = typedef std::default_random_engine
    +
    + +

    RNG engine used.

    + +
    +
    + +

    ◆ SourcePoolT

    + +
    +
    + + + + +
    using llo::SourcePoolT = typedef std::unordered_map<ade::iTensor*,std::shared_ptr<iSource> >
    +
    + +

    Type used by context to associate ade::Tensors to Sources.

    + +
    +
    +

    Enumeration Type Documentation

    + +

    ◆ DTYPE

    + +
    +
    + + + + +
    enum llo::DTYPE
    +
    + +

    Enumerated representation of data types.

    + + + + + + + + + + + + +
    Enumerator
    BAD 
    DOUBLE 

    Invalid data type.

    +
    FLOAT 
    INT8 
    INT16 
    INT32 
    INT64 
    UINT8 
    UINT16 
    UINT32 
    UINT64 
    + +
    +
    +

    Function Documentation

    + +

    ◆ abs() [1/2]

    + +
    +
    + + + + + + + + +
    DataNode llo::abs (DataNode arg)
    +
    + +

    Element-wise absolute operation.

    + +
    +
    + +

    ◆ abs() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + +
    void llo::abs (T * out,
    VecRef< T > in 
    )
    +
    +

    Given reference to output array, and input vector ref, make output elements take absolute value of inputs

    + +
    +
    + +

    ◆ abs< uint16_t >()

    + +
    +
    +
    +template<>
    + + + + + + + + + + + + + + + + + + +
    void llo::abs< uint16_t > (uint16_t * out,
    VecRef< uint16_t > in 
    )
    +
    + +
    +
    + +

    ◆ abs< uint32_t >()

    + +
    +
    +
    +template<>
    + + + + + + + + + + + + + + + + + + +
    void llo::abs< uint32_t > (uint32_t * out,
    VecRef< uint32_t > in 
    )
    +
    + +
    +
    + +

    ◆ abs< uint64_t >()

    + +
    +
    +
    +template<>
    + + + + + + + + + + + + + + + + + + +
    void llo::abs< uint64_t > (uint64_t * out,
    VecRef< uint64_t > in 
    )
    +
    + +
    +
    + +

    ◆ abs< uint8_t >()

    + +
    +
    +
    +template<>
    + + + + + + + + + + + + + + + + + + +
    void llo::abs< uint8_t > (uint8_t * out,
    VecRef< uint8_t > in 
    )
    +
    + +
    +
    + +

    ◆ add() [1/2]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::add (DataNode a,
    DataNode b 
    )
    +
    + +

    Element-wise operation: a + b.

    + +
    +
    + +

    ◆ add() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::add (T * out,
    ade::Shape & outshape,
    std::vector< VecRef< T >> args 
    )
    +
    +

    Given arguments, for every mapped index i in range [0:max_nelems], sum all elements for all arguments

    + +
    +
    + +

    ◆ binary()

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::binary (T * out,
    ade::Shape & outshape,
    VecRef< T > a,
    VecRef< T > b,
    std::function< T(const T &, const T &)> f 
    )
    +
    + +

    Generic binary operation assuming identity mapping (bijective)

    + +
    +
    + +

    ◆ bit_not()

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + +
    void llo::bit_not (T * out,
    VecRef< T > in 
    )
    +
    +

    Given reference to output array, and input vector ref, make output elements take bitwise nots of inputs

    + +
    +
    + +

    ◆ calc_func_args()

    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::calc_func_args (DataArgsT & out,
    const EvalCtx & ctx,
    DTYPE dtype,
    ade::iFunctor * func 
    )
    +
    + +

    Evaluate the data of children for func according to inputs ctx and dtype.

    + +
    +
    + +

    ◆ clip()

    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    DataNode llo::clip (DataNode x,
    DataNode lo,
    DataNode hi 
    )
    +
    +

    Element-wise clip x between lo and hi Values in x larger than hi take value hi, vice versa for lo

    + +
    +
    + +

    ◆ convolute()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::convolute (DataNode canvas,
    DataNode window 
    )
    +
    + +
    +
    + +

    ◆ copy()

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::copy (T * out,
    ade::Shape outshape,
    VecRef< T > in 
    )
    +
    +

    Given reference to output array, expected output shape, and input vector ref, copy input elements to outputs according to mapper Resolve surjective conflicts by summing

    + +
    +
    + +

    ◆ cos() [1/2]

    + +
    +
    + + + + + + + + +
    DataNode llo::cos (DataNode arg)
    +
    + +

    Element-wise cosine operation.

    + +
    +
    + +

    ◆ cos() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + +
    void llo::cos (T * out,
    VecRef< T > in 
    )
    +
    +

    Given reference to output array, and input vector ref, make output elements take cosine of inputs

    + +
    +
    + +

    ◆ div() [1/2]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::div (DataNode a,
    DataNode b 
    )
    +
    + +

    Element-wise operation: a / b.

    + +
    +
    + +

    ◆ div() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::div (T * out,
    ade::Shape & outshape,
    VecRef< T > a,
    VecRef< T > b 
    )
    +
    +

    Given arguments a, and b, for every pair of mapped elements sharing the same index divide Only accept 2 arguments

    + +
    +
    + +

    ◆ eq() [1/2]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::eq (DataNode a,
    DataNode b 
    )
    +
    + +

    Element-wise operation: a == b.

    + +
    +
    + +

    ◆ eq() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::eq (T * out,
    ade::Shape & outshape,
    VecRef< T > a,
    VecRef< T > b 
    )
    +
    +

    Given arguments a, and b, for every pair of mapped elements sharing the same index apply == operator Only accept 2 arguments

    + +
    +
    + +

    ◆ exec()

    + +
    +
    +
    +template<ade::OPCODE OP>
    + + + + + + + + + + + + + + + + + + +
    void llo::exec (GenericData & out,
    DataArgsT & data 
    )
    +
    + +
    +
    + +

    ◆ exp() [1/2]

    + +
    +
    + + + + + + + + +
    DataNode llo::exp (DataNode arg)
    +
    + +

    Element-wise exponent operation.

    + +
    +
    + +

    ◆ exp() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + +
    void llo::exp (T * out,
    VecRef< T > in 
    )
    +
    +

    Given reference to output array, and input vector ref, make output elements take exponent of inputs

    + +
    +
    + +

    ◆ extend()

    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    DataNode llo::extend (DataNode arg,
    uint8_t after,
    std::vector< uint8_t > ext 
    )
    +
    +

    Concatenate input shape vector to input tensor's shape. expect value to expand into the new shape by duplicating

    + +
    +
    + +

    ◆ fill_one()

    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::fill_one (char * cptr,
    size_t n,
    DTYPE dtype 
    )
    +
    + +
    +
    + +

    ◆ flip()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::flip (DataNode arg,
    uint8_t dim 
    )
    +
    + +

    Flip values of arg along specified dimension.

    + +
    +
    + +

    ◆ get_engine()

    + +
    +
    + + + + + + + + +
    EngineT& llo::get_engine (void )
    +
    + +

    Return global random generator.

    + +
    +
    + +

    ◆ get_type()

    + +
    +
    +
    +template<typename T >
    + + + + + + + + +
    DTYPE llo::get_type (void )
    +
    + +

    Return the DTYPE of type in template.

    + +
    +
    + +

    ◆ get_type< double >()

    + +
    +
    +
    +template<>
    + + + + + + + + +
    DTYPE llo::get_type< double > (void )
    +
    + +
    +
    + +

    ◆ get_type< float >()

    + +
    +
    +
    +template<>
    + + + + + + + + +
    DTYPE llo::get_type< float > (void )
    +
    + +
    +
    + +

    ◆ get_type< int16_t >()

    + +
    +
    +
    +template<>
    + + + + + + + + +
    DTYPE llo::get_type< int16_t > (void )
    +
    + +
    +
    + +

    ◆ get_type< int32_t >()

    + +
    +
    +
    +template<>
    + + + + + + + + +
    DTYPE llo::get_type< int32_t > (void )
    +
    + +
    +
    + +

    ◆ get_type< int64_t >()

    + +
    +
    +
    +template<>
    + + + + + + + + +
    DTYPE llo::get_type< int64_t > (void )
    +
    + +
    +
    + +

    ◆ get_type< int8_t >()

    + +
    +
    +
    +template<>
    + + + + + + + + +
    DTYPE llo::get_type< int8_t > (void )
    +
    + +
    +
    + +

    ◆ get_type< uint16_t >()

    + +
    +
    +
    +template<>
    + + + + + + + + +
    DTYPE llo::get_type< uint16_t > (void )
    +
    + +
    +
    + +

    ◆ get_type< uint32_t >()

    + +
    +
    +
    +template<>
    + + + + + + + + +
    DTYPE llo::get_type< uint32_t > (void )
    +
    + +
    +
    + +

    ◆ get_type< uint64_t >()

    + +
    +
    +
    +template<>
    + + + + + + + + +
    DTYPE llo::get_type< uint64_t > (void )
    +
    + +
    +
    + +

    ◆ get_type< uint8_t >()

    + +
    +
    +
    +template<>
    + + + + + + + + +
    DTYPE llo::get_type< uint8_t > (void )
    +
    + +
    +
    + +

    ◆ gt() [1/2]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::gt (DataNode a,
    DataNode b 
    )
    +
    + +

    Element-wise operation: a > b.

    + +
    +
    + +

    ◆ gt() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::gt (T * out,
    ade::Shape & outshape,
    VecRef< T > a,
    VecRef< T > b 
    )
    +
    +

    Given arguments a, and b, for every pair of mapped elements sharing the same index apply > operator Only accept 2 arguments

    + +
    +
    + +

    ◆ log() [1/2]

    + +
    +
    + + + + + + + + +
    DataNode llo::log (DataNode arg)
    +
    + +

    Element-wise natural log operation.

    + +
    +
    + +

    ◆ log() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + +
    void llo::log (T * out,
    VecRef< T > in 
    )
    +
    +

    Given reference to output array, and input vector ref, make output elements take natural log of inputs

    + +
    +
    + +

    ◆ lt() [1/2]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::lt (DataNode a,
    DataNode b 
    )
    +
    + +

    Element-wise operation: a < b.

    + +
    +
    + +

    ◆ lt() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::lt (T * out,
    ade::Shape & outshape,
    VecRef< T > a,
    VecRef< T > b 
    )
    +
    +

    Given arguments a, and b, for every pair of mapped elements sharing the same index apply < operator Only accept 2 arguments

    + +
    +
    + +

    ◆ matmul()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::matmul (DataNode a,
    DataNode b 
    )
    +
    +

    Matrix multiply 2 or 1 dimension matrices, Tensors with ranks higher than 2 throws runtime error

    + +
    +
    + +

    ◆ max() [1/2]

    + +
    +
    + + + + + + + + +
    DataNode llo::max (std::vector< DataNode > args)
    +
    + +

    Get Element-wise maximum of args.

    + +
    +
    + +

    ◆ max() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::max (T * out,
    ade::Shape & outshape,
    std::vector< VecRef< T >> args 
    )
    +
    +

    Given arguments, for every mapped index i in range [0:max_nelems], take the maximum all elements for all arguments

    + +
    +
    + +

    ◆ min() [1/2]

    + +
    +
    + + + + + + + + +
    DataNode llo::min (std::vector< DataNode > args)
    +
    + +

    Get Element-wise minimum of args.

    + +
    +
    + +

    ◆ min() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::min (T * out,
    ade::Shape & outshape,
    std::vector< VecRef< T >> args 
    )
    +
    +

    Given arguments, for every mapped index i in range [0:max_nelems], take the minimum all elements for all arguments

    + +
    +
    + +

    ◆ mul() [1/2]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::mul (DataNode a,
    DataNode b 
    )
    +
    + +

    Element-wise operation: a///b.

    + +
    +
    + +

    ◆ mul() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::mul (T * out,
    ade::Shape & outshape,
    std::vector< VecRef< T >> args 
    )
    +
    +

    Given arguments, for every mapped index i in range [0:max_nelems], multiply all elements for all arguments

    + +
    +
    + +

    ◆ n_dims()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::n_dims (DataNode arg,
    uint8_t dim 
    )
    +
    + +

    Get value at specified dimension of input shape.

    + +
    +
    + +

    ◆ n_elems()

    + +
    +
    + + + + + + + + +
    DataNode llo::n_elems (DataNode arg)
    +
    + +

    Get n_elem of input shape as value.

    + +
    +
    + +

    ◆ nametype()

    + +
    +
    + + + + + + + + +
    std::string llo::nametype (DTYPE type)
    +
    + +

    Return the string name of input DTYPE.

    + +
    +
    + +

    ◆ neg() [1/2]

    + +
    +
    + + + + + + + + +
    DataNode llo::neg (DataNode arg)
    +
    + +

    Element-wise negative operation.

    + +
    +
    + +

    ◆ neg() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + +
    void llo::neg (T * out,
    VecRef< T > in 
    )
    +
    +

    Given reference to output array, and input vector ref, make output elements take negatives of inputs

    + +
    +
    + +

    ◆ neg< uint16_t >()

    + +
    +
    +
    +template<>
    + + + + + + + + + + + + + + + + + + +
    void llo::neg< uint16_t > (uint16_t * out,
    VecRef< uint16_t > in 
    )
    +
    + +
    +
    + +

    ◆ neg< uint32_t >()

    + +
    +
    +
    +template<>
    + + + + + + + + + + + + + + + + + + +
    void llo::neg< uint32_t > (uint32_t * out,
    VecRef< uint32_t > in 
    )
    +
    + +
    +
    + +

    ◆ neg< uint64_t >()

    + +
    +
    +
    +template<>
    + + + + + + + + + + + + + + + + + + +
    void llo::neg< uint64_t > (uint64_t * out,
    VecRef< uint64_t > in 
    )
    +
    + +
    +
    + +

    ◆ neg< uint8_t >()

    + +
    +
    +
    +template<>
    + + + + + + + + + + + + + + + + + + +
    void llo::neg< uint8_t > (uint8_t * out,
    VecRef< uint8_t > in 
    )
    +
    + +
    +
    + +

    ◆ neq() [1/2]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::neq (DataNode a,
    DataNode b 
    )
    +
    + +

    Element-wise operation: a != b.

    + +
    +
    + +

    ◆ neq() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::neq (T * out,
    ade::Shape & outshape,
    VecRef< T > a,
    VecRef< T > b 
    )
    +
    +

    Given arguments a, and b, for every pair of mapped elements sharing the same index apply != operator Only accept 2 arguments

    + +
    +
    + +

    ◆ nnary()

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::nnary (T * out,
    ade::Shape & outshape,
    std::vector< VecRef< T >> args,
    std::function< void(T &, const T &)> acc 
    )
    +
    + +

    Generic n-nary operation (potentially surjective)

    + +
    +
    + +

    ◆ one()

    + +
    +
    + + + + + + + + +
    DataNode llo::one (ade::Shape shape)
    +
    + +

    Returns DataNode with SYMBOLIC_ONE extended to input shape.

    + +
    +
    + +

    ◆ op_exec()

    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::op_exec (ade::OPCODE opcode,
    GenericData & out,
    DataArgsT & data 
    )
    +
    + +
    +
    + +

    ◆ permute()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::permute (DataNode arg,
    std::vector< uint8_t > order 
    )
    +
    +

    Permute shape according to input indices. output shape take on input dimensions ordered by indices, and concatenated by unreferenced input dimensions ordered by input's original order

    + +
    +
    + +

    ◆ pow() [1/2]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::pow (DataNode a,
    DataNode b 
    )
    +
    + +

    Element-wise operation: base ^ exponent.

    + +
    +
    + +

    ◆ pow() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::pow (T * out,
    ade::Shape & outshape,
    VecRef< T > a,
    VecRef< T > b 
    )
    +
    +

    Given arguments a, and b, for every pair of mapped elements sharing the same index apply std::pow operator Only accept 2 arguments

    + +
    +
    + +

    ◆ prod()

    + +
    +
    + + + + + + + + +
    DataNode llo::prod (std::vector< DataNode > args)
    +
    + +

    Get Element-wise product of args.

    + +
    +
    + +

    ◆ prune0()

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    static ade::Tensorptr llo::prune0 (bool & is_zero,
    ade::iFunctor * func,
    std::vector< bool > zeros,
    ade::ArgsT args 
    )
    +     		+static
    +
    + +
    +
    + +

    ◆ rand_binom() [1/2]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::rand_binom (DataNode ntrials,
    DataNode prob 
    )
    +
    + +

    Generate random numbers according to std::binomial_distribution(a, b)

    + +
    +
    + +

    ◆ rand_binom() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::rand_binom (T * out,
    ade::Shape & outshape,
    VecRef< T > a,
    VecRef< double > b 
    )
    +
    +

    Given arguments a, and b, for every pair of mapped elements sharing the same index apply std::binomial_distribution function Only accept 2 arguments

    + +
    +
    + +

    ◆ rand_binom< double >()

    + +
    +
    +
    +template<>
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::rand_binom< double > (double * out,
    ade::Shape & outshape,
    VecRef< double > a,
    VecRef< double > b 
    )
    +
    + +
    +
    + +

    ◆ rand_binom< float >()

    + +
    +
    +
    +template<>
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::rand_binom< float > (float * out,
    ade::Shape & outshape,
    VecRef< float > a,
    VecRef< double > b 
    )
    +
    + +
    +
    + +

    ◆ rand_normal() [1/2]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::rand_normal (DataNode mean,
    DataNode stdev 
    )
    +
    + +

    Generate random numbers according to std::normal_distribution(a, b)

    + +
    +
    + +

    ◆ rand_normal() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::rand_normal (T * out,
    ade::Shape & outshape,
    VecRef< T > a,
    VecRef< T > b 
    )
    +
    +

    Given arguments a, and b, for every pair of mapped elements sharing the same index apply std::normal_distribution function Only accept 2 arguments

    + +
    +
    + +

    ◆ rand_normal< double >()

    + +
    +
    +
    +template<>
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::rand_normal< double > (double * out,
    ade::Shape & outshape,
    VecRef< double > a,
    VecRef< double > b 
    )
    +
    + +
    +
    + +

    ◆ rand_normal< float >()

    + +
    +
    +
    +template<>
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::rand_normal< float > (float * out,
    ade::Shape & outshape,
    VecRef< float > a,
    VecRef< float > b 
    )
    +
    + +
    +
    + +

    ◆ rand_uniform() [1/2]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::rand_uniform (DataNode lower,
    DataNode upper 
    )
    +
    + +

    Generate random numbers according to std::uniform_distributon(a, b)

    + +
    +
    + +

    ◆ rand_uniform() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::rand_uniform (T * out,
    ade::Shape & outshape,
    VecRef< T > a,
    VecRef< T > b 
    )
    +
    +

    Given arguments a, and b, for every pair of mapped elements sharing the same index apply std::uniform_distributon function Only accept 2 arguments

    + +
    +
    + +

    ◆ rand_uniform< double >()

    + +
    +
    +
    +template<>
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::rand_uniform< double > (double * out,
    ade::Shape & outshape,
    VecRef< double > a,
    VecRef< double > b 
    )
    +
    + +
    +
    + +

    ◆ rand_uniform< float >()

    + +
    +
    +
    +template<>
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::rand_uniform< float > (float * out,
    ade::Shape & outshape,
    VecRef< float > a,
    VecRef< float > b 
    )
    +
    + +
    +
    + +

    ◆ reduce_max() [1/2]

    + +
    +
    + + + + + + + + +
    DataNode llo::reduce_max (DataNode arg)
    +
    + +

    Get the max value.

    + +
    +
    + +

    ◆ reduce_max() [2/2]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::reduce_max (DataNode arg,
    uint8_t groupidx 
    )
    +
    + +

    Apply reduce_max to elements of coordinate range [groupidx:].

    + +
    +
    + +

    ◆ reduce_sum() [1/2]

    + +
    +
    + + + + + + + + +
    DataNode llo::reduce_sum (DataNode arg)
    +
    + +

    Get the sum of all values.

    + +
    +
    + +

    ◆ reduce_sum() [2/2]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::reduce_sum (DataNode arg,
    uint8_t groupidx 
    )
    +
    + +

    Apply reduce_sum to elements of coordinate range [groupidx:].

    + +
    +
    + +

    ◆ round() [1/2]

    + +
    +
    + + + + + + + + +
    DataNode llo::round (DataNode arg)
    +
    + +

    Element-wise round operation.

    + +
    +
    + +

    ◆ round() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + +
    void llo::round (T * out,
    VecRef< T > in 
    )
    +
    +

    Given reference to output array, and input vector ref, make output elements take rounded values of inputs

    + +
    +
    + +

    ◆ shaped_scalar()

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::shaped_scalar (T scalar,
    ade::Shape shape 
    )
    +
    + +

    Return source holding a scalar value extended to input shape.

    + +
    +
    + +

    ◆ sin() [1/2]

    + +
    +
    + + + + + + + + +
    DataNode llo::sin (DataNode arg)
    +
    + +

    Element-wise sine operation.

    + +
    +
    + +

    ◆ sin() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + +
    void llo::sin (T * out,
    VecRef< T > in 
    )
    +
    +

    Given reference to output array, and input vector ref, make output elements take sine of inputs

    + +
    +
    + +

    ◆ sqrt() [1/2]

    + +
    +
    + + + + + + + + +
    DataNode llo::sqrt (DataNode arg)
    +
    + +

    Element-wise square root operation.

    + +
    +
    + +

    ◆ sqrt() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + +
    void llo::sqrt (T * out,
    VecRef< T > in 
    )
    +
    +

    Given reference to output array, and input vector ref, make output elements take square root of inputs

    + +
    +
    + +

    ◆ sub() [1/2]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    DataNode llo::sub (DataNode a,
    DataNode b 
    )
    +
    + +

    Element-wise operation: a - b.

    + +
    +
    + +

    ◆ sub() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::sub (T * out,
    ade::Shape & outshape,
    VecRef< T > a,
    VecRef< T > b 
    )
    +
    +

    Given arguments a, and b, for every pair of mapped elements sharing the same index subtract Only accept 2 arguments

    + +
    +
    + +

    ◆ sum()

    + +
    +
    + + + + + + + + +
    DataNode llo::sum (std::vector< DataNode > args)
    +
    + +

    Get Element-wise sum of args.

    + +
    +
    + +

    ◆ tan() [1/2]

    + +
    +
    + + + + + + + + +
    DataNode llo::tan (DataNode arg)
    +
    + +

    Element-wise tangent operation.

    + +
    +
    + +

    ◆ tan() [2/2]

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + +
    void llo::tan (T * out,
    VecRef< T > in 
    )
    +
    +

    Given reference to output array, and input vector ref, make output elements take tangent of inputs

    + +
    +
    + +

    ◆ type_size()

    + +
    +
    + + + + + + + + +
    uint8_t llo::type_size (DTYPE type)
    +
    + +

    Return the byte size of input DTYPE.

    + +
    +
    + +

    ◆ unary()

    + +
    +
    +
    +template<typename T >
    + + + + + + + + + + + + + + + + + + + + + + + + +
    void llo::unary (T * out,
    VecRef< T > in,
    std::function< T(const T &)> f 
    )
    +
    + +

    Generic unary operation assuming identity mapping (bijective)

    + +
    +
    + +

    ◆ zero_prune()

    + +
    +
    + + + + + + + + +
    DataNode llo::zero_prune (DataNode root)
    +
    +

    Return tree that prunes zero branches in input according to OPCODE For example, add(x, 0) is converted to simply x, while mul(x, 0) is 0

    + +
    +
    +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/namespacemembers.html b/docs/namespacemembers.html new file mode 100644 index 000000000..323329f19 --- /dev/null +++ b/docs/namespacemembers.html @@ -0,0 +1,623 @@ + + + + + + + +Tenncor: Namespace Members + + + + + + + + + +
    +
    + + + + + + +
    +
    Tenncor +
    +
    +
    + + + + + + + +
    + +
    +
    + + +
    + +
    + +
    +
    Here is a list of all namespace members with links to the namespace documentation for each member:
    + +

    - _ -

      +
    • _BAD_OP +: ade +
      • +
    + + +

    - a -

      +
    • ABS +: ade +
      • +
    • abs() +: llo +
      • +
    • abs< uint16_t >() +: llo +
      • +
    • abs< uint32_t >() +: llo +
      • +
    • abs< uint64_t >() +: llo +
      • +
    • abs< uint8_t >() +: llo +
      • +
    • ADD +: ade +
      • +
    • add() +: llo +
      • +
    • ArgsT +: ade +
      • +
    • arr_begin +: ade +
      • +
    • arr_delim +: ade +
      • +
    • arr_end +: ade +
      • +
    + + +

    - b -

      +
    • BAD +: llo +
      • +
    • binary() +: llo +
      • +
    • bit_not() +: llo +
      • +
    + + +

    - c -

      +
    • calc_func_args() +: llo +
      • +
    • CDimT +: ade +
      • +
    • clip() +: llo +
      • +
    • convolute() +: llo +
      • +
    • coordinate() +: ade +
      • +
    • CoordPtrT +: ade +
      • +
    • CoordT +: ade +
      • +
    • COPY +: ade +
      • +
    • copy() +: llo +
      • +
    • COS +: ade +
      • +
    • cos() +: llo +
      • +
    + + +

    - d -

      +
    • DataArgsT +: llo +
      • +
    • DimT +: ade +
      • +
    • DIV +: ade +
      • +
    • div() +: llo +
      • +
    • DOUBLE +: llo +
      • +
    • DTYPE +: llo +
      • +
    + + +

    - e -

      +
    • EngineT +: llo +
      • +
    • EQ +: ade +
      • +
    • eq() +: llo +
      • +
    • err_tag +: ade +
      • +
    • error() +: ade +
      • +
    • errorf() +: ade +
      • +
    • exec() +: llo +
      • +
    • EXP +: ade +
      • +
    • exp() +: llo +
      • +
    • extend() +: ade +, llo +
      • +
    + + +

    - f -

      +
    • fatal() +: ade +
      • +
    • fatalf() +: ade +
      • +
    • fill_one() +: llo +
      • +
    • flip() +: ade +, llo +
      • +
    • FLOAT +: llo +
      • +
    + + +

    - g -

      +
    • get_engine() +: llo +
      • +
    • get_logger() +: ade +
      • +
    • get_type() +: llo +
      • +
    • get_type< double >() +: llo +
      • +
    • get_type< float >() +: llo +
      • +
    • get_type< int16_t >() +: llo +
      • +
    • get_type< int32_t >() +: llo +
      • +
    • get_type< int64_t >() +: llo +
      • +
    • get_type< int8_t >() +: llo +
      • +
    • get_type< uint16_t >() +: llo +
      • +
    • get_type< uint32_t >() +: llo +
      • +
    • get_type< uint64_t >() +: llo +
      • +
    • get_type< uint8_t >() +: llo +
      • +
    • grader() +: ade +
      • +
    • gradmap() +: ade +
      • +
    • GT +: ade +
      • +
    • gt() +: llo +
      • +
    + + +

    - i -

      +
    • identity +: ade +
      • +
    • index() +: ade +
      • +
    • INT16 +: llo +
      • +
    • INT32 +: llo +
      • +
    • INT64 +: llo +
      • +
    • INT8 +: llo +
      • +
    • inverse() +: ade +
      • +
    + + +

    - l -

      +
    • LOG +: ade +
      • +
    • log() +: llo +
      • +
    • LT +: ade +
      • +
    • lt() +: llo +
      • +
    + + +

    - m -

      +
    • map_shape() +: ade +
      • +
    • mat_dim +: ade +
      • +
    • mat_size +: ade +
      • +
    • matmul() +: llo +
      • +
    • MatrixT +: ade +
      • +
    • MAX +: ade +
      • +
    • max() +: llo +
      • +
    • MIN +: ade +
      • +
    • min() +: llo +
      • +
    • MUL +: ade +
      • +
    • mul() +: llo +
      • +
    + + +

    - n -

      +
    • n_dims() +: llo +
      • +
    • n_elems() +: llo +
      • +
    • name_op() +: ade +
      • +
    • nametype() +: llo +
      • +
    • NE +: ade +
      • +
    • NEG +: ade +
      • +
    • neg() +: llo +
      • +
    • neg< uint16_t >() +: llo +
      • +
    • neg< uint32_t >() +: llo +
      • +
    • neg< uint64_t >() +: llo +
      • +
    • neg< uint8_t >() +: llo +
      • +
    • NElemT +: ade +
      • +
    • neq() +: llo +
      • +
    • nnary() +: llo +
      • +
    + + +

    - o -

      +
    • one() +: llo +
      • +
    • op_exec() +: llo +
      • +
    • OPCODE +: ade +
      • +
    • opname() +: ade +
      • +
    + + +

    - p -

      +
    • permute() +: ade +, llo +
      • +
    • POW +: ade +
      • +
    • pow() +: llo +
      • +
    • prod() +: llo +
      • +
    • prune0() +: llo +
      • +
    + + +

    - r -

      +
    • RAND_BINO +: ade +
      • +
    • rand_binom() +: llo +
      • +
    • rand_binom< double >() +: llo +
      • +
    • rand_binom< float >() +: llo +
      • +
    • RAND_NORM +: ade +
      • +
    • rand_normal() +: llo +
      • +
    • rand_normal< double >() +: llo +
      • +
    • rand_normal< float >() +: llo +
      • +
    • RAND_UNIF +: ade +
      • +
    • rand_uniform() +: llo +
      • +
    • rand_uniform< double >() +: llo +
      • +
    • rand_uniform< float >() +: llo +
      • +
    • rank_cap +: ade +
      • +
    • reduce() +: ade +
      • +
    • reduce_max() +: llo +
      • +
    • reduce_sum() +: llo +
      • +
    • ROUND +: ade +
      • +
    • round() +: llo +
      • +
    + + +

    - s -

      +
    • set_logger() +: ade +
      • +
    • shaped_one() +: ade +
      • +
    • shaped_scalar() +: llo +
      • +
    • shaped_zero() +: ade +
      • +
    • ShapeT +: ade +
      • +
    • SIN +: ade +
      • +
    • sin() +: llo +
      • +
    • SourcePoolT +: llo +
      • +
    • sprintf() +: ade +
      • +
    • SQRT +: ade +
      • +
    • sqrt() +: llo +
      • +
    • SUB +: ade +
      • +
    • sub() +: llo +
      • +
    • sum() +: llo +
      • +
    + + +

    - t -

      +
    • TAN +: ade +
      • +
    • tan() +: llo +
      • +
    • to_stream() +: ade +
      • +
    • to_string() +: ade +
      • +
    • type_size() +: llo +
      • +
    + + +

    - u -

      +
    • UINT16 +: llo +
      • +
    • UINT32 +: llo +
      • +
    • UINT64 +: llo +
      • +
    • UINT8 +: llo +
      • +
    • unary() +: llo +
      • +
    + + +

    - w -

      +
    • warn() +: ade +
      • +
    • warn_tag +: ade +
      • +
    • warnf() +: ade +
      • +
    + + +

    - z -

      +
    • zero_prune() +: llo +
      • +
    +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/namespacemembers_enum.html b/docs/namespacemembers_enum.html new file mode 100644 index 000000000..a0ec3dca1 --- /dev/null +++ b/docs/namespacemembers_enum.html @@ -0,0 +1,80 @@ + + + + + + + +Tenncor: Namespace Members + + + + + + + + + +
    +
    + + + + + + +
    +
    Tenncor +
    +
    +
    + + + + + + + +
    + +
    +
    + + +
    + +
    + +
    + 
      +
    • DTYPE +: llo +
      • +
    • OPCODE +: ade +
      • +
    +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/namespacemembers_eval.html b/docs/namespacemembers_eval.html new file mode 100644 index 000000000..121c3eb36 --- /dev/null +++ b/docs/namespacemembers_eval.html @@ -0,0 +1,248 @@ + + + + + + + +Tenncor: Namespace Members + + + + + + + + + +
    +
    + + + + + + +
    +
    Tenncor +
    +
    +
    + + + + + + + +
    + +
    +
    + + +
    + +
    + +
    +  + +

    - _ -

      +
    • _BAD_OP +: ade +
      • +
    + + +

    - a -

      +
    • ABS +: ade +
      • +
    • ADD +: ade +
      • +
    + + +

    - b -

      +
    • BAD +: llo +
      • +
    + + +

    - c -

      +
    • COPY +: ade +
      • +
    • COS +: ade +
      • +
    + + +

    - d -

      +
    • DIV +: ade +
      • +
    • DOUBLE +: llo +
      • +
    + + +

    - e -

    + + +

    - f -

      +
    • FLOAT +: llo +
      • +
    + + +

    - g -

      +
    • GT +: ade +
      • +
    + + +

    - i -

      +
    • INT16 +: llo +
      • +
    • INT32 +: llo +
      • +
    • INT64 +: llo +
      • +
    • INT8 +: llo +
      • +
    + + +

    - l -

    + + +

    - m -

    + + +

    - n -

    + + +

    - p -

      +
    • POW +: ade +
      • +
    + + +

    - r -

      +
    • RAND_BINO +: ade +
      • +
    • RAND_NORM +: ade +
      • +
    • RAND_UNIF +: ade +
      • +
    • ROUND +: ade +
      • +
    + + +

    - s -

      +
    • SIN +: ade +
      • +
    • SQRT +: ade +
      • +
    • SUB +: ade +
      • +
    + + +

    - t -

      +
    • TAN +: ade +
      • +
    + + +

    - u -

      +
    • UINT16 +: llo +
      • +
    • UINT32 +: llo +
      • +
    • UINT64 +: llo +
      • +
    • UINT8 +: llo +
      • +
    +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/namespacemembers_func.html b/docs/namespacemembers_func.html new file mode 100644 index 000000000..1dc32ef68 --- /dev/null +++ b/docs/namespacemembers_func.html @@ -0,0 +1,445 @@ + + + + + + + +Tenncor: Namespace Members + + + + + + + + + +
    +
    + + + + + + +
    +
    Tenncor +
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    +
    + + + + + + + +
    + +
    +
    + + +
    + +
    + +
    +  + +

    - a -

      +
    • abs() +: llo +
      • +
    • abs< uint16_t >() +: llo +
      • +
    • abs< uint32_t >() +: llo +
      • +
    • abs< uint64_t >() +: llo +
      • +
    • abs< uint8_t >() +: llo +
      • +
    • add() +: llo +
      • +
    + + +

    - b -

      +
    • binary() +: llo +
      • +
    • bit_not() +: llo +
      • +
    + + +

    - c -

      +
    • calc_func_args() +: llo +
      • +
    • clip() +: llo +
      • +
    • convolute() +: llo +
      • +
    • coordinate() +: ade +
      • +
    • copy() +: llo +
      • +
    • cos() +: llo +
      • +
    + + +

    - d -

      +
    • div() +: llo +
      • +
    + + +

    - e -

      +
    • eq() +: llo +
      • +
    • error() +: ade +
      • +
    • errorf() +: ade +
      • +
    • exec() +: llo +
      • +
    • exp() +: llo +
      • +
    • extend() +: ade +, llo +
      • +
    + + +

    - f -

      +
    • fatal() +: ade +
      • +
    • fatalf() +: ade +
      • +
    • fill_one() +: llo +
      • +
    • flip() +: ade +, llo +
      • +
    + + +

    - g -

      +
    • get_engine() +: llo +
      • +
    • get_logger() +: ade +
      • +
    • get_type() +: llo +
      • +
    • get_type< double >() +: llo +
      • +
    • get_type< float >() +: llo +
      • +
    • get_type< int16_t >() +: llo +
      • +
    • get_type< int32_t >() +: llo +
      • +
    • get_type< int64_t >() +: llo +
      • +
    • get_type< int8_t >() +: llo +
      • +
    • get_type< uint16_t >() +: llo +
      • +
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    struct  llo::Source< T >
     Leaf evaluable holding tensor data. More...
     
    struct  llo::PlaceHolder< T >
     DataNode of a leaf that can be assignable by data vectors. More...
     
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    template<typename T >
    DataNode llo::shaped_scalar (T scalar, ade::Shape shape)
     Return source holding a scalar value extended to input shape. More...
     
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    1 
    9 #include "llo/eval.hpp"
    10 
    11 #ifndef LLO_NODE_HPP
    12 #define LLO_NODE_HPP
    13 
    14 namespace llo
    15 {
    16 
    18 template <typename T>
    19 struct Source final : public iSource
    20 {
    22  static DataNode get (ade::Shape shape, std::vector<T> data)
    23  {
    24  if (shape.n_elems() != data.size())
    25  {
    26  ade::fatalf("data size %d does not match shape %s",
    27  data.size(), shape.to_string().c_str());
    28  }
    29  auto tens = std::shared_ptr<ade::Tensor>(ade::Tensor::get(shape));
    30  auto src = std::shared_ptr<iSource>(new Source(tens, data));
    31  return DataNode(EvalCtx(tens.get(), src),
    32  std::static_pointer_cast<ade::iTensor>(tens));
    33  }
    34 
    36  static DataNode get_scalar (T value)
    37  {
    38  return Source<T>::get(ade::Shape(), {value});
    39  }
    40 
    41  static DataNode copy (const llo::Source<T>& other)
    42  {
    43  auto rawsrc = new Source<T>(other);
    44  auto src = std::shared_ptr<iSource>(rawsrc);
    45  std::shared_ptr<ade::Tensor> tens = rawsrc->inner();
    46  return DataNode(EvalCtx(tens.get(), src),
    47  std::static_pointer_cast<ade::iTensor>(tens));
    48  }
    49 
    51  GenericData data (DTYPE dtype) const override
    52  {
    53  DTYPE curtype = get_type<T>();
    54  GenericData out(tensor_->shape(), curtype);
    55  std::memcpy(out.data_.get(), &data_[0], sizeof(T) * data_.size());
    56  if (curtype != dtype)
    57  {
    58  return out.convert_to(dtype);
    59  }
    60  return out;
    61  }
    62 
    64  DTYPE native_type (void) const override
    65  {
    66  return get_type<T>();
    67  }
    68 
    70  void reassign (const GenericRef& data) override
    71  {
    72  const ade::Shape& internal_shape = tensor_->shape();
    73  if (false == data.shape_.compatible_after(internal_shape, 0))
    74  {
    75  ade::fatalf("cannot assign data of incompatible shaped %s to "
    76  "internal data of shape %s", data.shape_.to_string().c_str(),
    77  internal_shape.to_string().c_str());
    78  }
    79  std::memcpy(&data_[0], data.data_, sizeof(T) * data.shape_.n_elems());
    80  }
    81 
    83  const std::shared_ptr<ade::Tensor>& inner (void) const override
    84  {
    85  return tensor_;
    86  }
    87 
    88 private:
    89  Source (std::shared_ptr<ade::Tensor>& tensor, std::vector<T>& data) :
    90  tensor_(tensor), data_(data) {}
    91 
    92  Source (const Source<T>& other) :
    93  tensor_(other.tensor_), data_(other.data_) {}
    94 
    96  std::shared_ptr<ade::Tensor> tensor_;
    97 
    99  std::vector<T> data_;
    100 };
    101 
    103 template <typename T>
    104 struct PlaceHolder : public DataNode
    105 {
    106  PlaceHolder (ade::Shape shape) :
    107  DataNode(Source<T>::get(shape, std::vector<T>(shape.n_elems()))) {}
    108 
    109  PlaceHolder (const PlaceHolder&) = default;
    110  PlaceHolder (PlaceHolder&&) = default;
    111  PlaceHolder& operator = (const PlaceHolder&) = default;
    112  PlaceHolder& operator = (PlaceHolder&&) = default;
    113 
    115  PlaceHolder& operator = (std::vector<T> data)
    116  {
    117  auto key = static_cast<ade::Tensor*>(tensor_.get());
    118  auto src = ctx_.srcs_[key];
    119  GenericRef gdata((char*) &data[0], tensor_->shape(), get_type<T>());
    120  src->reassign(gdata);
    121  return *this;
    122  }
    123 };
    124 
    126 template <typename T>
    127 DataNode shaped_scalar (T scalar, ade::Shape shape)
    128 {
    129  DataNode snode = Source<double>::get_scalar(scalar);
    130  return DataNode(snode.ctx_, ade::Functor::get(ade::COPY, {
    131  {ade::extend(0, std::vector<ade::DimT>(shape.begin(), shape.end())),
    132  snode.tensor_}}));
    133 }
    134 
    135 }
    136 
    137 #endif // LLO_NODE_HPP
    llo::GenericRef
    Definition: data.hpp:41
    +
    llo::DataNode::tensor_
    ade::Tensorptr tensor_
    Subgraph root.
    Definition: eval.hpp:182
    +
    ade::Tensorptr::get
    iTensor * get(void) const
    Return the raw pointer.
    Definition: tensor.hpp:93
    +
    llo::Source::get
    static DataNode get(ade::Shape shape, std::vector< T > data)
    Return a Source of input shape and containing input data.
    Definition: node.hpp:22
    +
    llo::iSource
    Interface for leaves with tensor data.
    Definition: eval.hpp:22
    +
    llo::Source::Source
    Source(std::shared_ptr< ade::Tensor > &tensor, std::vector< T > &data)
    Definition: node.hpp:89
    +
    llo::Source::native_type
    DTYPE native_type(void) const override
    Implementation of iSource.
    Definition: node.hpp:64
    +
    llo::Source::reassign
    void reassign(const GenericRef &data) override
    Implementation of iSource.
    Definition: node.hpp:70
    +
    llo::Source::data
    GenericData data(DTYPE dtype) const override
    Implementation of iSource.
    Definition: node.hpp:51
    +
    llo::n_elems
    DataNode n_elems(DataNode arg)
    Get n_elem of input shape as value.
    Definition: api.cpp:228
    +
    ade::Functor::get
    static Functor * get(OPCODE opcode, ArgsT args)
    Return a Functor with with input tensor and meta arguments.
    Definition: functor.hpp:99
    +
    ade::iTensor::shape
    virtual const Shape & shape(void) const =0
    Return the shape held by this tensor.
    +
    llo::PlaceHolder::operator=
    PlaceHolder & operator=(const PlaceHolder &)=default
    + +
    ade::Shape::to_string
    std::string to_string(void) const
    Return string representation of shape.
    Definition: shape.hpp:138
    +
    llo::EvalCtx::srcs_
    SourcePoolT srcs_
    List all ade-source mapping.
    Definition: eval.hpp:64
    +
    ade::Tensor
    Leaf of the graph commonly representing the variable in an equation.
    Definition: tensor.hpp:116
    +
    ade::Shape::n_elems
    NElemT n_elems(void) const
    Return the total number of elements represented by the shape.
    Definition: shape.hpp:108
    +
    ade::Tensor::get
    static Tensor * get(Shape shape)
    Return a Tensor with input shape.
    Definition: tensor.hpp:125
    +
    llo::GenericData::shape_
    ade::Shape shape_
    Shape of data_.
    Definition: data.hpp:33
    +
    ade::Shape::compatible_after
    bool compatible_after(const Shape &other, uint8_t idx) const
    Definition: shape.hpp:126
    +
    llo::Source::data_
    std::vector< T > data_
    Tensor data.
    Definition: node.hpp:99
    +
    llo::GenericData::convert_to
    GenericData convert_to(DTYPE dtype) const
    Return data converted to specified input type.
    +
    ade::COPY
    Definition: opcode.hpp:24
    +
    ade::fatalf
    void fatalf(std::string format, ARGS... args)
    Fatal using global logger with arguments.
    Definition: log.hpp:94
    +
    llo::PlaceHolder::PlaceHolder
    PlaceHolder(ade::Shape shape)
    Definition: node.hpp:106
    +
    llo::GenericData
    GenericData for holding data when passing up the tensor graph.
    Definition: data.hpp:20
    +
    llo::Source::Source
    Source(const Source< T > &other)
    Definition: node.hpp:92
    +
    llo::Source::copy
    static DataNode copy(const llo::Source< T > &other)
    Definition: node.hpp:41
    +
    DTYPE
    Definition: test_dtype.cpp:12
    +
    ade::Shape
    Definition: shape.hpp:51
    +
    llo::Source::tensor_
    std::shared_ptr< ade::Tensor > tensor_
    Tensor node of subgraph.
    Definition: node.hpp:96
    +
    llo::GenericData::data_
    std::shared_ptr< char > data_
    Smartpointer to a block of untyped data.
    Definition: data.hpp:30
    +
    llo
    Definition: api.hpp:14
    +
    llo::DataNode
    Definition: eval.hpp:132
    +
    llo::PlaceHolder
    DataNode of a leaf that can be assignable by data vectors.
    Definition: node.hpp:104
    +
    llo::Source
    Leaf evaluable holding tensor data.
    Definition: node.hpp:19
    +
    llo::EvalCtx
    Context used to associate ade nodes to llo nodes under a particular graph.
    Definition: eval.hpp:43
    +
    llo::DataNode::ctx_
    EvalCtx ctx_
    Accumulated context.
    Definition: eval.hpp:179
    +
    llo::DataNode::data
    GenericData data(DTYPE dtype)
    Return data according to accumulated context and output type.
    Definition: eval.hpp:140
    +
    llo::Source::inner
    const std::shared_ptr< ade::Tensor > & inner(void) const override
    Implementation of iSource.
    Definition: node.hpp:83
    +
    llo::Source::get_scalar
    static DataNode get_scalar(T value)
    Return a source instance with a scalar as tensor data.
    Definition: node.hpp:36
    +
    llo::shaped_scalar
    DataNode shaped_scalar(T scalar, ade::Shape shape)
    Return source holding a scalar value extended to input shape.
    Definition: node.hpp:127
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    +Enumerations

    enum  ade::OPCODE {
    +  ade::COPY = 0, +ade::ABS, +ade::NEG, +ade::SIN, +
    +  ade::COS, +ade::TAN, +ade::EXP, +ade::LOG, +
    +  ade::SQRT, +ade::ROUND, +ade::POW, +ade::ADD, +
    +  ade::SUB, +ade::MUL, +ade::DIV, +ade::MIN, +
    +  ade::MAX, +ade::EQ, +ade::NE, +ade::LT, +
    +  ade::GT, +ade::RAND_BINO, +ade::RAND_UNIF, +ade::RAND_NORM, +
    +  ade::_BAD_OP +
    + }
     Enumerated representation of operations. More...
     
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    std::string ade::opname (OPCODE opcode)
     Return the string name of input OPCODE. More...
     
    OPCODE ade::name_op (std::string oname)
     Return the OPCODE of the string name. More...
     
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    1 
    9 #include <string>
    10 
    11 #include "ade/shape.hpp"
    12 
    13 #ifndef ADE_OPCODE_HPP
    14 #define ADE_OPCODE_HPP
    15 
    16 namespace ade
    17 {
    18 
    19 // TODO: CONVERT TO GENERATED CONFIG
    20 
    22 enum OPCODE
    23 {
    24  COPY = 0,
    25 
    27  ABS,
    29  NEG,
    31  SIN,
    33  COS,
    35  TAN,
    37  EXP,
    39  LOG,
    41  SQRT,
    43  ROUND,
    44 
    48  POW,
    51  ADD,
    55  SUB,
    58  MUL,
    62  DIV,
    66  MIN,
    70  MAX,
    71 
    75  EQ,
    79  NE,
    83  LT,
    87  GT,
    92  RAND_BINO,
    97  RAND_UNIF,
    102  RAND_NORM,
    103 
    105  _BAD_OP,
    106 };
    107 
    109 std::string opname (OPCODE opcode);
    110 
    112 OPCODE name_op (std::string oname);
    113 
    114 }
    115 
    116 #endif // ADE_OPCODE_HPP
    ade::NE
    Definition: opcode.hpp:79
    +
    ade::SQRT
    Square root every element.
    Definition: opcode.hpp:41
    +
    ade::SIN
    Sine every element.
    Definition: opcode.hpp:31
    +
    ade::RAND_BINO
    Definition: opcode.hpp:92
    +
    ade::GT
    Definition: opcode.hpp:87
    +
    ade::OPCODE
    OPCODE
    Enumerated representation of operations.
    Definition: opcode.hpp:22
    +
    ade::LT
    Definition: opcode.hpp:83
    +
    ade::MUL
    Definition: opcode.hpp:58
    +
    ade::name_op
    OPCODE name_op(std::string oname)
    Return the OPCODE of the string name.
    +
    ade::RAND_UNIF
    Definition: opcode.hpp:97
    +
    ade::MIN
    Definition: opcode.hpp:66
    +
    ade::POW
    Definition: opcode.hpp:48
    +
    ade::MAX
    Definition: opcode.hpp:70
    +
    ade::ROUND
    Round every element.
    Definition: opcode.hpp:43
    +
    ade::RAND_NORM
    Definition: opcode.hpp:102
    +
    ade::COPY
    Definition: opcode.hpp:24
    + +
    ade::EQ
    Definition: opcode.hpp:75
    +
    ade::ABS
    Make every element positive.
    Definition: opcode.hpp:27
    +
    ade
    Definition: coord.hpp:18
    +
    ade::TAN
    Tangent every element.
    Definition: opcode.hpp:35
    +
    ade::DIV
    Definition: opcode.hpp:62
    +
    ade::SUB
    Definition: opcode.hpp:55
    +
    ade::ADD
    Definition: opcode.hpp:51
    +
    ade::LOG
    Natural log every element.
    Definition: opcode.hpp:39
    +
    ade::opname
    std::string opname(OPCODE opcode)
    Return the string name of input OPCODE.
    +
    ade::EXP
    Exponent every element.
    Definition: opcode.hpp:37
    +
    ade::NEG
    Negate the sign of every element.
    Definition: opcode.hpp:29
    +
    ade::_BAD_OP
    Sentinel value of bad opcodes.
    Definition: opcode.hpp:105
    +
    ade::COS
    Cosine every element.
    Definition: opcode.hpp:33
    +
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    +Classes

    struct  llo::VecRef< T >
     
    + + + +

    +Namespaces

     llo
     
    + + + + +

    +Typedefs

    using llo::EngineT = std::default_random_engine
     RNG engine used. More...
     
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

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    EngineT & llo::get_engine (void)
     Return global random generator. More...
     
    template<typename T >
    void llo::copy (T *out, ade::Shape outshape, VecRef< T > in)
     
    template<typename T >
    void llo::unary (T *out, VecRef< T > in, std::function< T(const T &)> f)
     Generic unary operation assuming identity mapping (bijective) More...
     
    template<typename T >
    void llo::abs (T *out, VecRef< T > in)
     
    template<>
    void llo::abs< uint8_t > (uint8_t *out, VecRef< uint8_t > in)
     
    template<>
    void llo::abs< uint16_t > (uint16_t *out, VecRef< uint16_t > in)
     
    template<>
    void llo::abs< uint32_t > (uint32_t *out, VecRef< uint32_t > in)
     
    template<>
    void llo::abs< uint64_t > (uint64_t *out, VecRef< uint64_t > in)
     
    template<typename T >
    void llo::neg (T *out, VecRef< T > in)
     
    template<>
    void llo::neg< uint8_t > (uint8_t *out, VecRef< uint8_t > in)
     
    template<>
    void llo::neg< uint16_t > (uint16_t *out, VecRef< uint16_t > in)
     
    template<>
    void llo::neg< uint32_t > (uint32_t *out, VecRef< uint32_t > in)
     
    template<>
    void llo::neg< uint64_t > (uint64_t *out, VecRef< uint64_t > in)
     
    template<typename T >
    void llo::bit_not (T *out, VecRef< T > in)
     
    template<typename T >
    void llo::sin (T *out, VecRef< T > in)
     
    template<typename T >
    void llo::cos (T *out, VecRef< T > in)
     
    template<typename T >
    void llo::tan (T *out, VecRef< T > in)
     
    template<typename T >
    void llo::exp (T *out, VecRef< T > in)
     
    template<typename T >
    void llo::log (T *out, VecRef< T > in)
     
    template<typename T >
    void llo::sqrt (T *out, VecRef< T > in)
     
    template<typename T >
    void llo::round (T *out, VecRef< T > in)
     
    template<typename T >
    void llo::binary (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b, std::function< T(const T &, const T &)> f)
     Generic binary operation assuming identity mapping (bijective) More...
     
    template<typename T >
    void llo::pow (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<typename T >
    void llo::sub (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<typename T >
    void llo::div (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<typename T >
    void llo::eq (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<typename T >
    void llo::neq (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<typename T >
    void llo::lt (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<typename T >
    void llo::gt (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<typename T >
    void llo::rand_binom (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< double > b)
     
    template<>
    void llo::rand_binom< double > (double *out, ade::Shape &outshape, VecRef< double > a, VecRef< double > b)
     
    template<>
    void llo::rand_binom< float > (float *out, ade::Shape &outshape, VecRef< float > a, VecRef< double > b)
     
    template<typename T >
    void llo::rand_uniform (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<>
    void llo::rand_uniform< double > (double *out, ade::Shape &outshape, VecRef< double > a, VecRef< double > b)
     
    template<>
    void llo::rand_uniform< float > (float *out, ade::Shape &outshape, VecRef< float > a, VecRef< float > b)
     
    template<typename T >
    void llo::rand_normal (T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
     
    template<>
    void llo::rand_normal< float > (float *out, ade::Shape &outshape, VecRef< float > a, VecRef< float > b)
     
    template<>
    void llo::rand_normal< double > (double *out, ade::Shape &outshape, VecRef< double > a, VecRef< double > b)
     
    template<typename T >
    void llo::nnary (T *out, ade::Shape &outshape, std::vector< VecRef< T >> args, std::function< void(T &, const T &)> acc)
     Generic n-nary operation (potentially surjective) More...
     
    template<typename T >
    void llo::add (T *out, ade::Shape &outshape, std::vector< VecRef< T >> args)
     
    template<typename T >
    void llo::mul (T *out, ade::Shape &outshape, std::vector< VecRef< T >> args)
     
    template<typename T >
    void llo::min (T *out, ade::Shape &outshape, std::vector< VecRef< T >> args)
     
    template<typename T >
    void llo::max (T *out, ade::Shape &outshape, std::vector< VecRef< T >> args)
     
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    1 
    10 #include <cstring>
    11 #include <cmath>
    12 #include <functional>
    13 #include <random>
    14 
    15 #include "ade/coord.hpp"
    16 
    17 #ifndef LLO_OPERATOR_HPP
    18 #define LLO_OPERATOR_HPP
    19 
    20 namespace llo
    21 {
    22 
    24 using EngineT = std::default_random_engine;
    25 
    27 EngineT& get_engine (void);
    28 
    31 template <typename T>
    32 struct VecRef
    33 {
    34  ade::CoordPtrT mapper;
    35  const T* data;
    36  ade::Shape shape;
    37 };
    38 
    42 template <typename T>
    43 void copy (T* out, ade::Shape outshape, VecRef<T> in)
    44 {
    45  ade::NElemT nout = outshape.n_elems();
    46  ade::NElemT nin = in.shape.n_elems();
    47  ade::CoordT coord;
    48  if (nout > nin) // non-surjective
    49  {
    50  for (ade::NElemT outidx = 0; outidx < nout; ++outidx)
    51  {
    52  in.mapper->backward(coord.begin(),
    53  ade::coordinate(outshape, outidx).begin());
    54  ade::NElemT i = ade::index(in.shape, coord);
    55  out[outidx] = in.data[i];
    56  }
    57  }
    58  else // resolve surjective conflicts
    59  {
    60  bool visited[nout];
    61  std::memset(visited, false, nout);
    62  for (ade::NElemT i = 0; i < nin; ++i)
    63  {
    64  in.mapper->forward(coord.begin(),
    65  ade::coordinate(in.shape, i).begin());
    66  ade::NElemT outidx = ade::index(outshape, coord);
    67  if (visited[outidx])
    68  {
    69  out[outidx] += in.data[i];
    70  }
    71  else
    72  {
    73  out[outidx] = in.data[i];
    74  visited[outidx] = true;
    75  }
    76  }
    77  // todo: do something/check non-visited elements
    78  }
    79 }
    80 
    82 template <typename T>
    83 void unary (T* out, VecRef<T> in, std::function<T(const T&)> f)
    84 {
    85  ade::NElemT n = in.shape.n_elems();
    86  for (ade::NElemT i = 0; i < n; ++i)
    87  {
    88  out[i] = f(in.data[i]);
    89  }
    90 }
    91 
    94 template <typename T>
    95 void abs (T* out, VecRef<T> in)
    96 {
    97  unary<T>(out, in, [](const T& src) { return std::abs(src); });
    98 }
    99 
    100 template <>
    101 void abs<uint8_t> (uint8_t* out, VecRef<uint8_t> in);
    102 
    103 template <>
    104 void abs<uint16_t> (uint16_t* out, VecRef<uint16_t> in);
    105 
    106 template <>
    107 void abs<uint32_t> (uint32_t* out, VecRef<uint32_t> in);
    108 
    109 template <>
    110 void abs<uint64_t> (uint64_t* out, VecRef<uint64_t> in);
    111 
    114 template <typename T>
    115 void neg (T* out, VecRef<T> in)
    116 {
    117  unary<T>(out, in, [](const T& src) { return -src; });
    118 }
    119 
    120 template <>
    121 void neg<uint8_t> (uint8_t* out, VecRef<uint8_t> in);
    122 
    123 template <>
    124 void neg<uint16_t> (uint16_t* out, VecRef<uint16_t> in);
    125 
    126 template <>
    127 void neg<uint32_t> (uint32_t* out, VecRef<uint32_t> in);
    128 
    129 template <>
    130 void neg<uint64_t> (uint64_t* out, VecRef<uint64_t> in);
    131 
    134 template <typename T>
    135 void bit_not (T* out, VecRef<T> in)
    136 {
    137  unary<T>(out, in, [](const T& src) { return !src; });
    138 }
    139 
    142 template <typename T>
    143 void sin (T* out, VecRef<T> in)
    144 {
    145  unary<T>(out, in, [](const T& src) { return std::sin(src); });
    146 }
    147 
    150 template <typename T>
    151 void cos (T* out, VecRef<T> in)
    152 {
    153  unary<T>(out, in, [](const T& src) { return std::cos(src); });
    154 }
    155 
    158 template <typename T>
    159 void tan (T* out, VecRef<T> in)
    160 {
    161  unary<T>(out, in, [](const T& src) { return std::tan(src); });
    162 }
    163 
    166 template <typename T>
    167 void exp (T* out, VecRef<T> in)
    168 {
    169  unary<T>(out, in, [](const T& src) { return std::exp(src); });
    170 }
    171 
    174 template <typename T>
    175 void log (T* out, VecRef<T> in)
    176 {
    177  unary<T>(out, in, [](const T& src) { return std::log(src); });
    178 }
    179 
    182 template <typename T>
    183 void sqrt (T* out, VecRef<T> in)
    184 {
    185  unary<T>(out, in, [](const T& src) { return std::sqrt(src); });
    186 }
    187 
    190 template <typename T>
    191 void round (T* out, VecRef<T> in)
    192 {
    193  unary<T>(out, in, [](const T& src) { return std::round(src); });
    194 }
    195 
    197 template <typename T>
    198 void binary (T* out, ade::Shape& outshape, VecRef<T> a, VecRef<T> b,
    199  std::function<T(const T&,const T&)> f)
    200 {
    201  ade::NElemT n = outshape.n_elems();
    202  ade::CoordT acoord;
    203  ade::CoordT bcoord;
    204  for (ade::NElemT i = 0; i < n; ++i)
    205  {
    206  a.mapper->backward(acoord.begin(),
    207  ade::coordinate(outshape, i).begin());
    208  b.mapper->backward(bcoord.begin(),
    209  ade::coordinate(outshape, i).begin());
    210  out[i] = f(a.data[ade::index(a.shape, acoord)],
    211  b.data[ade::index(b.shape, bcoord)]);
    212  }
    213 }
    214 
    218 template <typename T>
    219 void pow (T* out, ade::Shape& outshape, VecRef<T> a, VecRef<T> b)
    220 {
    221  binary<T>(out, outshape, a, b,
    222  [](const T& b, const T& x) { return std::pow(b, x); });
    223 }
    224 
    228 template <typename T>
    229 void sub (T* out, ade::Shape& outshape, VecRef<T> a, VecRef<T> b)
    230 {
    231  binary<T>(out, outshape, a, b,
    232  [](const T& a, const T& b) { return a - b; });
    233 }
    234 
    238 template <typename T>
    239 void div (T* out, ade::Shape& outshape, VecRef<T> a, VecRef<T> b)
    240 {
    241  binary<T>(out, outshape, a, b,
    242  [](const T& a, const T& b) { return a / b; });
    243 }
    244 
    248 template <typename T>
    249 void eq (T* out, ade::Shape& outshape, VecRef<T> a, VecRef<T> b)
    250 {
    251  binary<T>(out, outshape, a, b,
    252  [](const T& a, const T& b) { return a == b; });
    253 }
    254 
    258 template <typename T>
    259 void neq (T* out, ade::Shape& outshape, VecRef<T> a, VecRef<T> b)
    260 {
    261  binary<T>(out, outshape, a, b,
    262  [](const T& a, const T& b) { return a != b; });
    263 }
    264 
    268 template <typename T>
    269 void lt (T* out, ade::Shape& outshape, VecRef<T> a, VecRef<T> b)
    270 {
    271  binary<T>(out, outshape, a, b,
    272  [](const T& a, const T& b) { return a < b; });
    273 }
    274 
    278 template <typename T>
    279 void gt (T* out, ade::Shape& outshape, VecRef<T> a, VecRef<T> b)
    280 {
    281  binary<T>(out, outshape, a, b,
    282  [](const T& a, const T& b) { return a > b; });
    283 }
    284 
    288 template <typename T>
    289 void rand_binom (T* out, ade::Shape& outshape, VecRef<T> a, VecRef<double> b)
    290 {
    291  ade::NElemT n = outshape.n_elems();
    292  ade::CoordT acoord;
    293  ade::CoordT bcoord;
    294  for (ade::NElemT i = 0; i < n; ++i)
    295  {
    296  a.mapper->backward(acoord.begin(),
    297  ade::coordinate(outshape, i).begin());
    298  b.mapper->backward(bcoord.begin(),
    299  ade::coordinate(outshape, i).begin());
    300  std::binomial_distribution<T> dist(
    301  a.data[ade::index(a.shape, acoord)],
    302  b.data[ade::index(b.shape, bcoord)]);
    303  out[i] = dist(get_engine());
    304  }
    305 }
    306 
    307 template <>
    308 void rand_binom<double> (double* out,
    309  ade::Shape& outshape, VecRef<double> a, VecRef<double> b);
    310 
    311 template <>
    312 void rand_binom<float> (float* out,
    313  ade::Shape& outshape, VecRef<float> a, VecRef<double> b);
    314 
    318 template <typename T>
    319 void rand_uniform (T* out,
    320  ade::Shape& outshape, VecRef<T> a, VecRef<T> b)
    321 {
    322  binary<T>(out, outshape, a, b,
    323  [](const T& a, const T& b)
    324  {
    325  std::uniform_int_distribution<T> dist(a, b);
    326  return dist(get_engine());
    327  });
    328 }
    329 
    330 template <>
    331 void rand_uniform<double> (double* out,
    332  ade::Shape& outshape, VecRef<double> a, VecRef<double> b);
    333 
    334 template <>
    335 void rand_uniform<float> (float* out,
    336  ade::Shape& outshape, VecRef<float> a, VecRef<float> b);
    337 
    341 template <typename T>
    342 void rand_normal (T* out, ade::Shape& outshape, VecRef<T> a, VecRef<T> b)
    343 {
    344  throw std::bad_function_call();
    345 }
    346 
    347 template <>
    348 void rand_normal<float> (float* out,
    349  ade::Shape& outshape, VecRef<float> a, VecRef<float> b);
    350 
    351 template <>
    352 void rand_normal<double> (double* out,
    353  ade::Shape& outshape, VecRef<double> a, VecRef<double> b);
    354 
    356 template <typename T>
    357 void nnary (T* out, ade::Shape& outshape, std::vector<VecRef<T>> args,
    358  std::function<void(T&, const T&)> acc)
    359 {
    360  ade::NElemT nout = outshape.n_elems();
    361  bool visited[nout];
    362  std::memset(visited, false, nout);
    363  ade::CoordT coord;
    364  size_t nargs = args.size();
    365  if (nargs == 1 && nout > args[0].shape.n_elems()) // resolve extensions
    366  {
    367  VecRef<T>& arg = args[0];
    368  for (ade::NElemT outidx = 0; outidx < nout; ++outidx)
    369  {
    370  arg.mapper->backward(coord.begin(),
    371  ade::coordinate(outshape, outidx).begin());
    372  ade::NElemT i = ade::index(arg.shape, coord);
    373  out[outidx] = arg.data[i];
    374  }
    375  }
    376  else
    377  {
    378  for (size_t i = 0; i < nargs; ++i)
    379  {
    380  VecRef<T>& arg = args[i];
    381  for (ade::NElemT i = 0, n = arg.shape.n_elems(); i < n; ++i)
    382  {
    383  arg.mapper->forward(coord.begin(),
    384  ade::coordinate(arg.shape, i).begin());
    385  ade::NElemT outidx = ade::index(outshape, coord);
    386  if (visited[outidx])
    387  {
    388  acc(out[outidx], arg.data[i]);
    389  }
    390  else
    391  {
    392  out[outidx] = arg.data[i];
    393  visited[outidx] = true;
    394  }
    395  }
    396  }
    397  // todo: do something/check non-visited elements
    398  }
    399 }
    400 
    403 template <typename T>
    404 void add (T* out, ade::Shape& outshape, std::vector<VecRef<T>> args)
    405 {
    406  nnary<T>(out, outshape, args,
    407  [](T& out, const T& val) { out += val; });
    408 }
    409 
    412 template <typename T>
    413 void mul (T* out, ade::Shape& outshape, std::vector<VecRef<T>> args)
    414 {
    415  nnary<T>(out, outshape, args,
    416  [](T& out, const T& val) { out *= val; });
    417 }
    418 
    421 template <typename T>
    422 void min (T* out, ade::Shape& outshape, std::vector<VecRef<T>> args)
    423 {
    424  nnary<T>(out, outshape, args,
    425  [](T& out, const T& val) { out = std::min(out, val); });
    426 }
    427 
    430 template <typename T>
    431 void max (T* out, ade::Shape& outshape, std::vector<VecRef<T>> args)
    432 {
    433  nnary<T>(out, outshape, args,
    434  [](T& out, const T& val) { out = std::max(out, val); });
    435 }
    436 
    437 }
    438 
    439 #endif // LLO_OPERATOR_HPP
    llo::abs< uint64_t >
    void abs< uint64_t >(uint64_t *out, VecRef< uint64_t > in)
    +
    llo::div
    DataNode div(DataNode a, DataNode b)
    Element-wise operation: a / b.
    Definition: api.cpp:127
    +
    llo::eq
    DataNode eq(DataNode a, DataNode b)
    Element-wise operation: a == b.
    Definition: api.cpp:136
    +
    llo::VecRef::data
    const T * data
    Definition: operator.hpp:35
    +
    llo::tan
    void tan(T *out, VecRef< T > in)
    Definition: operator.hpp:159
    +
    llo::rand_binom< double >
    void rand_binom< double >(double *out, ade::Shape &outshape, VecRef< double > a, VecRef< double > b)
    +
    llo::neq
    DataNode neq(DataNode a, DataNode b)
    Element-wise operation: a != b.
    Definition: api.cpp:145
    +
    ade::NElemT
    uint64_t NElemT
    Definition: shape.hpp:33
    +
    llo::add
    DataNode add(DataNode a, DataNode b)
    Element-wise operation: a + b.
    Definition: api.cpp:84
    +
    llo::neg< uint8_t >
    void neg< uint8_t >(uint8_t *out, VecRef< uint8_t > in)
    +
    llo::exp
    DataNode exp(DataNode arg)
    Element-wise exponent operation.
    Definition: api.cpp:45
    +
    llo::tan
    DataNode tan(DataNode arg)
    Element-wise tangent operation.
    Definition: api.cpp:39
    +
    llo::rand_normal
    DataNode rand_normal(DataNode mean, DataNode stdev)
    Generate random numbers according to std::normal_distribution(a, b)
    Definition: api.cpp:219
    +
    llo::nnary
    void nnary(T *out, ade::Shape &outshape, std::vector< VecRef< T >> args, std::function< void(T &, const T &)> acc)
    Generic n-nary operation (potentially surjective)
    Definition: operator.hpp:357
    +
    llo::neg< uint16_t >
    void neg< uint16_t >(uint16_t *out, VecRef< uint16_t > in)
    +
    llo::lt
    DataNode lt(DataNode a, DataNode b)
    Element-wise operation: a < b.
    Definition: api.cpp:154
    +
    llo::sqrt
    DataNode sqrt(DataNode arg)
    Element-wise square root operation.
    Definition: api.cpp:57
    +
    llo::exp
    void exp(T *out, VecRef< T > in)
    Definition: operator.hpp:167
    +
    llo::get_engine
    EngineT & get_engine(void)
    Return global random generator.
    +
    llo::abs< uint32_t >
    void abs< uint32_t >(uint32_t *out, VecRef< uint32_t > in)
    +
    llo::VecRef::mapper
    ade::CoordPtrT mapper
    Definition: operator.hpp:34
    +
    llo::neg
    DataNode neg(DataNode arg)
    Element-wise negative operation.
    Definition: api.cpp:21
    +
    ade::CoordPtrT
    std::shared_ptr< iCoordMap > CoordPtrT
    Type of iCoordMap smartpointer.
    Definition: coord.hpp:99
    +
    llo::VecRef
    Definition: operator.hpp:32
    +
    llo::EngineT
    std::default_random_engine EngineT
    RNG engine used.
    Definition: operator.hpp:24
    +
    ade::Shape::n_elems
    NElemT n_elems(void) const
    Return the total number of elements represented by the shape.
    Definition: shape.hpp:108
    +
    llo::cos
    DataNode cos(DataNode arg)
    Element-wise cosine operation.
    Definition: api.cpp:33
    +
    llo::unary
    void unary(T *out, VecRef< T > in, std::function< T(const T &)> f)
    Generic unary operation assuming identity mapping (bijective)
    Definition: operator.hpp:83
    +
    llo::copy
    void copy(T *out, ade::Shape outshape, VecRef< T > in)
    Definition: operator.hpp:43
    +
    llo::cos
    void cos(T *out, VecRef< T > in)
    Definition: operator.hpp:151
    +
    llo::rand_normal< double >
    void rand_normal< double >(double *out, ade::Shape &outshape, VecRef< double > a, VecRef< double > b)
    +
    llo::max
    DataNode max(std::vector< DataNode > args)
    Get Element-wise maximum of args.
    Definition: api.cpp:184
    +
    llo::mul
    DataNode mul(DataNode a, DataNode b)
    Element-wise operation: a///b.
    Definition: api.cpp:110
    +
    llo::round
    void round(T *out, VecRef< T > in)
    Definition: operator.hpp:191
    +
    llo::rand_binom< float >
    void rand_binom< float >(float *out, ade::Shape &outshape, VecRef< float > a, VecRef< double > b)
    +
    llo::min
    void min(T *out, ade::Shape &outshape, std::vector< VecRef< T >> args)
    Definition: operator.hpp:422
    +
    llo::rand_binom
    DataNode rand_binom(DataNode ntrials, DataNode prob)
    Generate random numbers according to std::binomial_distribution(a, b)
    Definition: api.cpp:201
    +
    llo::rand_uniform< float >
    void rand_uniform< float >(float *out, ade::Shape &outshape, VecRef< float > a, VecRef< float > b)
    + +
    llo::abs< uint8_t >
    void abs< uint8_t >(uint8_t *out, VecRef< uint8_t > in)
    +
    llo::rand_uniform< double >
    void rand_uniform< double >(double *out, ade::Shape &outshape, VecRef< double > a, VecRef< double > b)
    +
    ade::index
    NElemT index(Shape shape, CoordT coord)
    +
    llo::sqrt
    void sqrt(T *out, VecRef< T > in)
    Definition: operator.hpp:183
    +
    ade::Shape
    Definition: shape.hpp:51
    +
    llo::neg< uint64_t >
    void neg< uint64_t >(uint64_t *out, VecRef< uint64_t > in)
    +
    llo::gt
    DataNode gt(DataNode a, DataNode b)
    Element-wise operation: a > b.
    Definition: api.cpp:163
    +
    llo::rand_uniform
    DataNode rand_uniform(DataNode lower, DataNode upper)
    Generate random numbers according to std::uniform_distributon(a, b)
    Definition: api.cpp:210
    +
    ade::CoordT
    std::array< CDimT, rank_cap > CoordT
    Definition: shape.hpp:45
    +
    llo::sub
    DataNode sub(DataNode a, DataNode b)
    Element-wise operation: a - b.
    Definition: api.cpp:101
    +
    llo
    Definition: api.hpp:14
    +
    llo::binary
    void binary(T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b, std::function< T(const T &, const T &)> f)
    Generic binary operation assuming identity mapping (bijective)
    Definition: operator.hpp:198
    +
    llo::VecRef::shape
    ade::Shape shape
    Definition: operator.hpp:36
    +
    llo::round
    DataNode round(DataNode arg)
    Element-wise round operation.
    Definition: api.cpp:63
    +
    ade::coordinate
    CoordT coordinate(Shape shape, NElemT idx)
    +
    llo::log
    void log(T *out, VecRef< T > in)
    Definition: operator.hpp:175
    +
    llo::abs< uint16_t >
    void abs< uint16_t >(uint16_t *out, VecRef< uint16_t > in)
    +
    llo::pow
    DataNode pow(DataNode a, DataNode b)
    Element-wise operation: base ^ exponent.
    Definition: api.cpp:75
    +
    llo::max
    void max(T *out, ade::Shape &outshape, std::vector< VecRef< T >> args)
    Definition: operator.hpp:431
    +
    llo::abs
    DataNode abs(DataNode arg)
    Element-wise absolute operation.
    Definition: api.cpp:15
    +
    llo::abs
    void abs(T *out, VecRef< T > in)
    Definition: operator.hpp:95
    +
    llo::sin
    DataNode sin(DataNode arg)
    Element-wise sine operation.
    Definition: api.cpp:27
    +
    llo::sin
    void sin(T *out, VecRef< T > in)
    Definition: operator.hpp:143
    +
    llo::min
    DataNode min(std::vector< DataNode > args)
    Get Element-wise minimum of args.
    Definition: api.cpp:172
    +
    llo::rand_normal< float >
    void rand_normal< float >(float *out, ade::Shape &outshape, VecRef< float > a, VecRef< float > b)
    +
    llo::pow
    void pow(T *out, ade::Shape &outshape, VecRef< T > a, VecRef< T > b)
    Definition: operator.hpp:219
    +
    llo::log
    DataNode log(DataNode arg)
    Element-wise natural log operation.
    Definition: api.cpp:51
    +
    llo::bit_not
    void bit_not(T *out, VecRef< T > in)
    Definition: operator.hpp:135
    +
    llo::neg< uint32_t >
    void neg< uint32_t >(uint32_t *out, VecRef< uint32_t > in)
    +
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    #include "llo/opmap.hpp"
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    #include "ade/opcode.hpp"
    +#include "llo/data.hpp"
    +#include "llo/operator.hpp"
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    +Classes

    struct  llo::Executer< OP, T >
     
    struct  llo::Executer< ade::COPY, T >
     
    struct  llo::Executer< ade::RAND_BINO, T >
     
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    #define UNARY(OP, METHOD)
     
    #define BINARY(OP, METHOD)
     
    #define NARY(OP, METHOD)
     
    + + + +

    +Typedefs

    using llo::DataArgsT = std::vector< std::pair< ade::CoordPtrT, GenericData > >
     
    + + + + + + +

    +Functions

    template<ade::OPCODE OP>
    void llo::exec (GenericData &out, DataArgsT &data)
     
    void llo::op_exec (ade::OPCODE opcode, GenericData &out, DataArgsT &data)
     
    +

    Macro Definition Documentation

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    ◆ BINARY

    + +
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    + + + + + + + + + + + + + + + + + + +
    #define BINARY( OP,
     METHOD 
    )
    +
    +Value:
    template <typename T> struct Executer<ade::OP,T>{\
    static void exec (GenericData& out, DataArgsT& data) {\
    METHOD((T*) out.data_.get(), out.shape_, VecRef<T>{data[0].first,\
    (T*) data[0].second.data_.get(), data[0].second.shape_}, VecRef<T>{\
    data[1].first, (T*) data[1].second.data_.get(), data[1].second.shape_}); } };
    llo::DataArgsT
    std::vector< std::pair< ade::CoordPtrT, GenericData > > DataArgsT
    Definition: opmap.hpp:20
    +
    ade
    Definition: coord.hpp:18
    +
    llo::exec
    void exec(GenericData &out, DataArgsT &data)
    Definition: opmap.hpp:112
    +
    +
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    ◆ NARY

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    #define NARY( OP,
     METHOD 
    )
    +
    +Value:
    template <typename T> struct Executer<ade::OP,T> {\
    static void exec (GenericData& out, DataArgsT& data){\
    std::vector<VecRef<T>> args(data.size());\
    std::transform(data.begin(), data.end(), args.begin(),\
    [](std::pair<ade::CoordPtrT,GenericData>& gd) { return VecRef<T>{gd.first,\
    (T*) gd.second.data_.get(), gd.second.shape_}; });\
    METHOD((T*) out.data_.get(), out.shape_, args); } };
    llo::DataArgsT
    std::vector< std::pair< ade::CoordPtrT, GenericData > > DataArgsT
    Definition: opmap.hpp:20
    +
    ade
    Definition: coord.hpp:18
    +
    llo::exec
    void exec(GenericData &out, DataArgsT &data)
    Definition: opmap.hpp:112
    +
    +
    +
    + +

    ◆ UNARY

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    #define UNARY( OP,
     METHOD 
    )
    +
    +Value:
    template <typename T>struct Executer<ade::OP,T>{\
    static void exec (GenericData& out, DataArgsT& data) {\
    METHOD((T*) out.data_.get(), VecRef<T>{data[0].first,\
    (T*) data[0].second.data_.get(), data[0].second.shape_}); } };
    llo::DataArgsT
    std::vector< std::pair< ade::CoordPtrT, GenericData > > DataArgsT
    Definition: opmap.hpp:20
    +
    ade
    Definition: coord.hpp:18
    +
    llo::exec
    void exec(GenericData &out, DataArgsT &data)
    Definition: opmap.hpp:112
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    1 
    9 #include "ade/opcode.hpp"
    10 
    11 #include "llo/data.hpp"
    12 #include "llo/operator.hpp"
    13 
    14 #ifndef LLO_OPMAP_HPP
    15 #define LLO_OPMAP_HPP
    16 
    17 namespace llo
    18 {
    19 
    20 using DataArgsT = std::vector<std::pair<ade::CoordPtrT,GenericData>>;
    21 
    22 template <ade::OPCODE OP, typename T>
    23 struct Executer
    24 {
    25  static void exec (GenericData& out, DataArgsT& data)
    26  {
    27  ade::fatalf("cannot %s of type %s", ade::opname(OP).c_str(),
    28  nametype(get_type<T>()).c_str());
    29  }
    30 };
    31 
    32 template <typename T>
    33 struct Executer<ade::COPY,T>
    34 {
    35  static void exec (GenericData& out, DataArgsT& data)
    36  {
    37  copy((T*) out.data_.get(), out.shape_, VecRef<T>{
    38  data[0].first,
    39  (T*) data[0].second.data_.get(),
    40  data[0].second.shape_,
    41  });
    42  }
    43 };
    44 
    45 #define UNARY(OP, METHOD)template <typename T>struct Executer<ade::OP,T>{\
    46 static void exec (GenericData& out, DataArgsT& data) {\
    47 METHOD((T*) out.data_.get(), VecRef<T>{data[0].first,\
    48 (T*) data[0].second.data_.get(), data[0].second.shape_}); } };
    49 
    50 UNARY(ABS, abs)
    51 UNARY(NEG, neg)
    52 UNARY(SIN, sin)
    53 UNARY(COS, cos)
    54 UNARY(TAN, tan)
    55 UNARY(EXP, exp)
    56 UNARY(LOG, log)
    57 UNARY(SQRT, sqrt)
    58 UNARY(ROUND, round)
    59 
    60 #undef UNARY
    61 
    62 #define BINARY(OP, METHOD)template <typename T> struct Executer<ade::OP,T>{\
    63 static void exec (GenericData& out, DataArgsT& data) {\
    64 METHOD((T*) out.data_.get(), out.shape_, VecRef<T>{data[0].first,\
    65 (T*) data[0].second.data_.get(), data[0].second.shape_}, VecRef<T>{\
    66 data[1].first, (T*) data[1].second.data_.get(), data[1].second.shape_}); } };
    67 
    68 BINARY(POW, pow)
    69 BINARY(SUB, sub)
    70 BINARY(DIV, div)
    71 BINARY(EQ, eq)
    72 BINARY(NE, neq)
    73 BINARY(LT, lt)
    74 BINARY(GT, gt)
    75 
    76 template <typename T>
    77 struct Executer<ade::RAND_BINO,T>
    78 {
    79  static void exec (GenericData& out, DataArgsT& data)
    80  {
    81  rand_binom((T*) out.data_.get(), out.shape_,
    82  VecRef<T>{data[0].first,
    83  (T*) data[0].second.data_.get(),
    84  data[0].second.shape_},
    85  VecRef<double>{data[1].first,
    86  (double*) data[1].second.data_.get(),
    87  data[1].second.shape_});
    88  }
    89 };
    90 
    91 BINARY(RAND_UNIF, rand_uniform)
    92 BINARY(RAND_NORM, rand_normal)
    93 
    94 #undef BINARY
    95 
    96 #define NARY(OP, METHOD)template <typename T> struct Executer<ade::OP,T> {\
    97 static void exec (GenericData& out, DataArgsT& data){\
    98 std::vector<VecRef<T>> args(data.size());\
    99 std::transform(data.begin(), data.end(), args.begin(),\
    100 [](std::pair<ade::CoordPtrT,GenericData>& gd) { return VecRef<T>{gd.first,\
    101 (T*) gd.second.data_.get(), gd.second.shape_}; });\
    102 METHOD((T*) out.data_.get(), out.shape_, args); } };
    103 
    104 NARY(ADD, add)
    105 NARY(MUL, mul)
    106 NARY(MIN, min)
    107 NARY(MAX, max)
    108 
    109 #undef NARY
    110 
    111 template <ade::OPCODE OP>
    112 void exec (GenericData& out, DataArgsT& data)
    113 {
    114  switch (out.dtype_)
    115  {
    116  case DOUBLE:
    117  Executer<OP,double>::exec(out, data);
    118  break;
    119  case FLOAT:
    120  Executer<OP,float>::exec(out, data);
    121  break;
    122  case INT8:
    123  Executer<OP,int8_t>::exec(out, data);
    124  break;
    125  case INT16:
    126  Executer<OP,int16_t>::exec(out, data);
    127  break;
    128  case INT32:
    129  Executer<OP,int32_t>::exec(out, data);
    130  break;
    131  case INT64:
    132  Executer<OP,int64_t>::exec(out, data);
    133  break;
    134  case UINT8:
    135  Executer<OP,uint8_t>::exec(out, data);
    136  break;
    137  case UINT16:
    138  Executer<OP,uint16_t>::exec(out, data);
    139  break;
    140  case UINT32:
    141  Executer<OP,uint32_t>::exec(out, data);
    142  break;
    143  case UINT64:
    144  Executer<OP,uint64_t>::exec(out, data);
    145  break;
    146  default:
    147  ade::fatal("executing bad type");
    148  }
    149 }
    150 
    151 void op_exec (ade::OPCODE opcode, GenericData& out, DataArgsT& data);
    152 
    153 }
    154 
    155 #endif // LLO_OPMAP_HPP
    llo::UINT32
    Definition: dtype.hpp:29
    +
    ade::NE
    Definition: opcode.hpp:79
    +
    ade::SQRT
    Square root every element.
    Definition: opcode.hpp:41
    +
    llo::div
    DataNode div(DataNode a, DataNode b)
    Element-wise operation: a / b.
    Definition: api.cpp:127
    +
    llo::eq
    DataNode eq(DataNode a, DataNode b)
    Element-wise operation: a == b.
    Definition: api.cpp:136
    +
    llo::INT8
    Definition: dtype.hpp:23
    +
    ade::SIN
    Sine every element.
    Definition: opcode.hpp:31
    +
    ade::RAND_BINO
    Definition: opcode.hpp:92
    +
    llo::neq
    DataNode neq(DataNode a, DataNode b)
    Element-wise operation: a != b.
    Definition: api.cpp:145
    +
    ade::GT
    Definition: opcode.hpp:87
    +
    llo::DataArgsT
    std::vector< std::pair< ade::CoordPtrT, GenericData > > DataArgsT
    Definition: opmap.hpp:20
    +
    llo::INT16
    Definition: dtype.hpp:24
    +
    llo::Executer< ade::RAND_BINO, T >::exec
    static void exec(GenericData &out, DataArgsT &data)
    Definition: opmap.hpp:79
    +
    llo::UINT16
    Definition: dtype.hpp:28
    +
    llo::add
    DataNode add(DataNode a, DataNode b)
    Element-wise operation: a + b.
    Definition: api.cpp:84
    +
    llo::exp
    DataNode exp(DataNode arg)
    Element-wise exponent operation.
    Definition: api.cpp:45
    +
    llo::FLOAT
    Definition: dtype.hpp:22
    +
    llo::tan
    DataNode tan(DataNode arg)
    Element-wise tangent operation.
    Definition: api.cpp:39
    +
    llo::rand_normal
    DataNode rand_normal(DataNode mean, DataNode stdev)
    Generate random numbers according to std::normal_distribution(a, b)
    Definition: api.cpp:219
    +
    BINARY
    #define BINARY(OP, METHOD)
    Definition: opmap.hpp:62
    +
    ade::OPCODE
    OPCODE
    Enumerated representation of operations.
    Definition: opcode.hpp:22
    +
    ade::LT
    Definition: opcode.hpp:83
    +
    llo::lt
    DataNode lt(DataNode a, DataNode b)
    Element-wise operation: a < b.
    Definition: api.cpp:154
    +
    llo::sqrt
    DataNode sqrt(DataNode arg)
    Element-wise square root operation.
    Definition: api.cpp:57
    +
    ade::MUL
    Definition: opcode.hpp:58
    +
    ade::RAND_UNIF
    Definition: opcode.hpp:97
    + +
    ade::MIN
    Definition: opcode.hpp:66
    +
    ade::POW
    Definition: opcode.hpp:48
    +
    llo::neg
    DataNode neg(DataNode arg)
    Element-wise negative operation.
    Definition: api.cpp:21
    + +
    llo::VecRef
    Definition: operator.hpp:32
    +
    llo::op_exec
    void op_exec(ade::OPCODE opcode, GenericData &out, DataArgsT &data)
    +
    llo::cos
    DataNode cos(DataNode arg)
    Element-wise cosine operation.
    Definition: api.cpp:33
    +
    llo::Executer::exec
    static void exec(GenericData &out, DataArgsT &data)
    Definition: opmap.hpp:25
    +
    ade::MAX
    Definition: opcode.hpp:70
    +
    llo::GenericData::shape_
    ade::Shape shape_
    Shape of data_.
    Definition: data.hpp:33
    +
    LOG
    Definition: test_log.cpp:10
    +
    llo::UINT64
    Definition: dtype.hpp:30
    +
    llo::copy
    void copy(T *out, ade::Shape outshape, VecRef< T > in)
    Definition: operator.hpp:43
    +
    ade::ROUND
    Round every element.
    Definition: opcode.hpp:43
    +
    ade::RAND_NORM
    Definition: opcode.hpp:102
    +
    ade::COPY
    Definition: opcode.hpp:24
    +
    ade::fatalf
    void fatalf(std::string format, ARGS... args)
    Fatal using global logger with arguments.
    Definition: log.hpp:94
    +
    llo::GenericData
    GenericData for holding data when passing up the tensor graph.
    Definition: data.hpp:20
    + +
    ade::EQ
    Definition: opcode.hpp:75
    +
    ade::ABS
    Make every element positive.
    Definition: opcode.hpp:27
    +
    llo::max
    DataNode max(std::vector< DataNode > args)
    Get Element-wise maximum of args.
    Definition: api.cpp:184
    +
    llo::mul
    DataNode mul(DataNode a, DataNode b)
    Element-wise operation: a///b.
    Definition: api.cpp:110
    +
    ade
    Definition: coord.hpp:18
    +
    ade::TAN
    Tangent every element.
    Definition: opcode.hpp:35
    +
    llo::Executer
    Definition: opmap.hpp:23
    +
    ade::fatal
    void fatal(std::string msg)
    Fatal using global logger.
    +
    ade::DIV
    Definition: opcode.hpp:62
    +
    llo::rand_binom
    DataNode rand_binom(DataNode ntrials, DataNode prob)
    Generate random numbers according to std::binomial_distribution(a, b)
    Definition: api.cpp:201
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    llo::UINT8
    Definition: dtype.hpp:27
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    llo::nametype
    std::string nametype(DTYPE type)
    Return the string name of input DTYPE.
    +
    ade::SUB
    Definition: opcode.hpp:55
    +
    llo::gt
    DataNode gt(DataNode a, DataNode b)
    Element-wise operation: a > b.
    Definition: api.cpp:163
    +
    llo::rand_uniform
    DataNode rand_uniform(DataNode lower, DataNode upper)
    Generate random numbers according to std::uniform_distributon(a, b)
    Definition: api.cpp:210
    +
    llo::sub
    DataNode sub(DataNode a, DataNode b)
    Element-wise operation: a - b.
    Definition: api.cpp:101
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    llo::GenericData::data_
    std::shared_ptr< char > data_
    Smartpointer to a block of untyped data.
    Definition: data.hpp:30
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    ade::ADD
    Definition: opcode.hpp:51
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    llo
    Definition: api.hpp:14
    +
    llo::round
    DataNode round(DataNode arg)
    Element-wise round operation.
    Definition: api.cpp:63
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    ade::opname
    std::string opname(OPCODE opcode)
    Return the string name of input OPCODE.
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    llo::Executer< ade::COPY, T >::exec
    static void exec(GenericData &out, DataArgsT &data)
    Definition: opmap.hpp:35
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    ade::EXP
    Exponent every element.
    Definition: opcode.hpp:37
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    ade::NEG
    Negate the sign of every element.
    Definition: opcode.hpp:29
    +
    llo::pow
    DataNode pow(DataNode a, DataNode b)
    Element-wise operation: base ^ exponent.
    Definition: api.cpp:75
    +
    llo::abs
    DataNode abs(DataNode arg)
    Element-wise absolute operation.
    Definition: api.cpp:15
    +
    llo::sin
    DataNode sin(DataNode arg)
    Element-wise sine operation.
    Definition: api.cpp:27
    +
    llo::INT64
    Definition: dtype.hpp:26
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    UNARY
    #define UNARY(OP, METHOD)
    Definition: opmap.hpp:45
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    llo::min
    DataNode min(std::vector< DataNode > args)
    Get Element-wise minimum of args.
    Definition: api.cpp:172
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    llo::DOUBLE
    Invalid data type.
    Definition: dtype.hpp:21
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    llo::GenericData::dtype_
    DTYPE dtype_
    Data type of data_.
    Definition: data.hpp:36
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    NARY
    #define NARY(OP, METHOD)
    Definition: opmap.hpp:96
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    llo::log
    DataNode log(DataNode arg)
    Element-wise natural log operation.
    Definition: api.cpp:51
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    ade::COS
    Cosine every element.
    Definition: opcode.hpp:33
    +
    llo::INT32
    Definition: dtype.hpp:25
    +
    llo::exec
    void exec(GenericData &out, DataArgsT &data)
    Definition: opmap.hpp:112
    +
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+ z-index: 10001; + padding-top: 4px; + padding-bottom: 4px; + -moz-border-radius: 4px; + -webkit-border-top-left-radius: 4px; + -webkit-border-top-right-radius: 4px; + -webkit-border-bottom-left-radius: 4px; + -webkit-border-bottom-right-radius: 4px; + -webkit-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15); +} + +.SelectItem { + font: 8pt Arial, Verdana, sans-serif; + padding-left: 2px; + padding-right: 12px; + border: 0px; +} + +span.SelectionMark { + margin-right: 4px; + font-family: monospace; + outline-style: none; + text-decoration: none; +} + +a.SelectItem { + display: block; + outline-style: none; + color: #000000; + text-decoration: none; + padding-left: 6px; + padding-right: 12px; +} + +a.SelectItem:focus, +a.SelectItem:active { + color: #000000; + outline-style: none; + text-decoration: none; +} + +a.SelectItem:hover { + color: #FFFFFF; + background-color: #3D578C; + outline-style: none; + text-decoration: none; + cursor: pointer; + display: block; +} + +/*---------------- Search results window */ + +iframe#MSearchResults { + width: 60ex; 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+ font-size: 8pt; + font-style: italic; +} + +.SRResult { + display: none; +} + +DIV.searchresults { + margin-left: 10px; + margin-right: 10px; +} + +/*---------------- External search page results */ + +.searchresult { + background-color: #F0F3F8; +} + +.pages b { + color: white; + padding: 5px 5px 3px 5px; + background-image: url("../tab_a.png"); + background-repeat: repeat-x; + text-shadow: 0 1px 1px #000000; +} + +.pages { + line-height: 17px; + margin-left: 4px; + text-decoration: none; +} + +.hl { + font-weight: bold; +} + +#searchresults { + margin-bottom: 20px; +} + +.searchpages { + margin-top: 10px; +} + diff --git a/docs/search/search.js b/docs/search/search.js new file mode 100644 index 000000000..a554ab9cb --- /dev/null +++ b/docs/search/search.js @@ -0,0 +1,814 @@ +/* + @licstart The following is the entire license notice for the + JavaScript code in this file. + + Copyright (C) 1997-2017 by Dimitri van Heesch + + This program is free software; you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation; either version 2 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License along + with this program; if not, write to the Free Software Foundation, Inc., + 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. + + @licend The above is the entire license notice + for the JavaScript code in this file + */ +function convertToId(search) +{ + var result = ''; + for (i=0;i do a search + { + this.Search(); + } + } + + this.OnSearchSelectKey = function(evt) + { + var e = (evt) ? evt : window.event; // for IE + if (e.keyCode==40 && this.searchIndex0) // Up + { + this.searchIndex--; + this.OnSelectItem(this.searchIndex); + } + else if (e.keyCode==13 || e.keyCode==27) + { + this.OnSelectItem(this.searchIndex); + this.CloseSelectionWindow(); + this.DOMSearchField().focus(); + } + return false; + } + + // --------- Actions + + // Closes the results window. + this.CloseResultsWindow = function() + { + this.DOMPopupSearchResultsWindow().style.display = 'none'; + this.DOMSearchClose().style.display = 'none'; + this.Activate(false); + } + + this.CloseSelectionWindow = function() + { + this.DOMSearchSelectWindow().style.display = 'none'; + } + + // Performs a search. + this.Search = function() + { + this.keyTimeout = 0; + + // strip leading whitespace + var searchValue = this.DOMSearchField().value.replace(/^ +/, ""); + + var code = searchValue.toLowerCase().charCodeAt(0); + var idxChar = searchValue.substr(0, 1).toLowerCase(); + if ( 0xD800 <= code && code <= 0xDBFF && searchValue > 1) // surrogate pair + { + idxChar = searchValue.substr(0, 2); + } + + var resultsPage; + var resultsPageWithSearch; + var hasResultsPage; + + var idx = indexSectionsWithContent[this.searchIndex].indexOf(idxChar); + if (idx!=-1) + { + var hexCode=idx.toString(16); + resultsPage = this.resultsPath + '/' + indexSectionNames[this.searchIndex] + '_' + hexCode + '.html'; + resultsPageWithSearch = resultsPage+'?'+escape(searchValue); + hasResultsPage = true; + } + else // nothing available for this search term + { + resultsPage = this.resultsPath + '/nomatches.html'; + resultsPageWithSearch = resultsPage; + hasResultsPage = false; + } + + window.frames.MSearchResults.location = resultsPageWithSearch; + var domPopupSearchResultsWindow = this.DOMPopupSearchResultsWindow(); + + if (domPopupSearchResultsWindow.style.display!='block') + { + var domSearchBox = this.DOMSearchBox(); + this.DOMSearchClose().style.display = 'inline'; + if (this.insideFrame) + { + var domPopupSearchResults = this.DOMPopupSearchResults(); + domPopupSearchResultsWindow.style.position = 'relative'; + domPopupSearchResultsWindow.style.display = 'block'; + var width = document.body.clientWidth - 8; // the -8 is for IE :-( + domPopupSearchResultsWindow.style.width = width + 'px'; + domPopupSearchResults.style.width = width + 'px'; + } + else + { + var domPopupSearchResults = this.DOMPopupSearchResults(); + var left = getXPos(domSearchBox) + 150; // domSearchBox.offsetWidth; + var top = getYPos(domSearchBox) + 20; // domSearchBox.offsetHeight + 1; + domPopupSearchResultsWindow.style.display = 'block'; + left -= domPopupSearchResults.offsetWidth; + domPopupSearchResultsWindow.style.top = top + 'px'; + domPopupSearchResultsWindow.style.left = left + 'px'; + } + } + + this.lastSearchValue = searchValue; + this.lastResultsPage = resultsPage; + } + + // -------- Activation Functions + + // Activates or deactivates the search panel, resetting things to + // their default values if necessary. + this.Activate = function(isActive) + { + if (isActive || // open it + this.DOMPopupSearchResultsWindow().style.display == 'block' + ) + { + this.DOMSearchBox().className = 'MSearchBoxActive'; + + var searchField = this.DOMSearchField(); + + if (searchField.value == this.searchLabel) // clear "Search" term upon entry + { + searchField.value = ''; + this.searchActive = true; + } + } + else if (!isActive) // directly remove the panel + { + this.DOMSearchBox().className = 'MSearchBoxInactive'; + this.DOMSearchField().value = this.searchLabel; + this.searchActive = false; + this.lastSearchValue = '' + this.lastResultsPage = ''; + } + } +} + +// ----------------------------------------------------------------------- + +// The class that handles everything on the search results page. +function SearchResults(name) +{ + // The number of matches from the last run of . + this.lastMatchCount = 0; + this.lastKey = 0; + this.repeatOn = false; + + // Toggles the visibility of the passed element ID. + this.FindChildElement = function(id) + { + var parentElement = document.getElementById(id); + var element = parentElement.firstChild; + + while (element && element!=parentElement) + { + if (element.nodeName == 'DIV' && element.className == 'SRChildren') + { + return element; + } + + if (element.nodeName == 'DIV' && element.hasChildNodes()) + { + element = element.firstChild; + } + else if (element.nextSibling) + { + element = element.nextSibling; + } + else + { + do + { + element = element.parentNode; + } + while (element && element!=parentElement && !element.nextSibling); + + if (element && element!=parentElement) + { + element = element.nextSibling; + } + } + } + } + + this.Toggle = function(id) + { + var element = this.FindChildElement(id); + if (element) + { + if (element.style.display == 'block') + { + element.style.display = 'none'; + } + else + { + element.style.display = 'block'; + } + } + } + + // Searches for the passed string. 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evt : window.event; // for IE + if (e.keyCode==13) return true; + if (!this.ProcessKeys(e)) return false; + + if (this.lastKey==38) // Up + { + var newIndex = itemIndex-1; + var focusItem = this.NavPrev(newIndex); + if (focusItem) + { + var child = this.FindChildElement(focusItem.parentNode.parentNode.id); + if (child && child.style.display == 'block') // children visible + { + var n=0; + var tmpElem; + while (1) // search for last child + { + tmpElem = document.getElementById('Item'+newIndex+'_c'+n); + if (tmpElem) + { + focusItem = tmpElem; + } + else // found it! + { + break; + } + n++; + } + } + } + if (focusItem) + { + focusItem.focus(); + } + else // return focus to search field + { + parent.document.getElementById("MSearchField").focus(); + } + } + else if (this.lastKey==40) // Down + { + var newIndex = itemIndex+1; + var focusItem; + var item = document.getElementById('Item'+itemIndex); + var elem = this.FindChildElement(item.parentNode.parentNode.id); + if (elem && elem.style.display == 'block') // children visible + { + focusItem = document.getElementById('Item'+itemIndex+'_c0'); + } + if (!focusItem) focusItem = this.NavNext(newIndex); + if (focusItem) focusItem.focus(); + } + else if (this.lastKey==39) // Right + { + var item = document.getElementById('Item'+itemIndex); + var elem = this.FindChildElement(item.parentNode.parentNode.id); + if (elem) elem.style.display = 'block'; + } + else if (this.lastKey==37) // Left + { + var item = document.getElementById('Item'+itemIndex); + var elem = this.FindChildElement(item.parentNode.parentNode.id); + if (elem) elem.style.display = 'none'; + } + else if (this.lastKey==27) // Escape + { + parent.searchBox.CloseResultsWindow(); + parent.document.getElementById("MSearchField").focus(); + } + else if (this.lastKey==13) // Enter + { + return true; + } + return false; + } + + this.NavChild = function(evt,itemIndex,childIndex) + { + var e = (evt) ? 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    #include "ade/log/log.hpp"
    +#include "ade/shape.hpp"
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    shape.hpp File Reference
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    #include <algorithm>
    +#include <array>
    +#include <iterator>
    +#include <numeric>
    +#include <sstream>
    +#include <vector>
    +#include "ade/log/log.hpp"
    +
    +

    Go to the source code of this file.

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    +Classes

    struct  ade::Shape
     
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     ade
     
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    +Typedefs

    using ade::DimT = uint8_t
     Type used for shape dimension. More...
     
    using ade::CDimT = int16_t
     Type used for coordinate dimensions. More...
     
    using ade::NElemT = uint64_t
     
    using ade::ShapeT = std::array< DimT, rank_cap >
     Array type used to hold dimension info in Shape. More...
     
    using ade::CoordT = std::array< CDimT, rank_cap >
     
    + + + + + +

    +Functions

    NElemT ade::index (Shape shape, CoordT coord)
     
    CoordT ade::coordinate (Shape shape, NElemT idx)
     
    + + + + +

    +Variables

    const uint8_t ade::rank_cap = 8
     Number of dimsensions in a shape/coordinate. More...
     
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    shape.hpp
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    +Go to the documentation of this file.
    1 
    9 #include <algorithm>
    10 #include <array>
    11 #include <iterator>
    12 #include <numeric>
    13 #include <sstream>
    14 #include <vector>
    15 
    16 #include "ade/log/log.hpp"
    17 
    18 #ifndef ADE_SHAPE_HPP
    19 #define ADE_SHAPE_HPP
    20 
    21 namespace ade
    22 {
    23 
    25 using DimT = uint8_t;
    26 
    28 using CDimT = int16_t;
    29 
    33 using NElemT = uint64_t;
    34 
    36 const uint8_t rank_cap = 8;
    37 
    39 using ShapeT = std::array<DimT,rank_cap>;
    40 
    45 using CoordT = std::array<CDimT,rank_cap>;
    46 
    51 struct Shape final
    52 {
    54  using iterator = ShapeT::iterator;
    55 
    57  using const_iterator = ShapeT::const_iterator;
    58 
    59  Shape (void)
    60  {
    61  std::fill(dims_.begin(), dims_.end(), 1);
    62  }
    63 
    64  Shape (std::vector<DimT> dims)
    65  {
    66  vector_assign(dims);
    67  }
    68 
    69  Shape (const Shape& other) = default;
    70 
    71  Shape& operator = (const Shape& other) = default;
    72 
    73  Shape& operator = (const std::vector<DimT>& dims)
    74  {
    75  vector_assign(dims);
    76  return *this;
    77  }
    78 
    79  Shape (Shape&& other)
    80  {
    81  move_helper(std::move(other));
    82  }
    83 
    84  Shape& operator = (Shape&& other)
    85  {
    86  if (this != &other)
    87  {
    88  move_helper(std::move(other));
    89  }
    90  return *this;
    91  }
    92 
    93 
    94  // >>>> ACCESSORS <<<<
    95 
    97  DimT at (uint8_t idx) const
    98  {
    99  if (rank_cap <= idx)
    100  {
    101  throw std::out_of_range(
    102  "accessing dimension out of allocated rank cap");
    103  }
    104  return dims_.at(idx);
    105  }
    106 
    108  NElemT n_elems (void) const
    109  {
    110  auto it = dims_.begin();
    111  return std::accumulate(it, it + rank_cap, 1,
    112  std::multiplies<NElemT>());
    113  }
    114 
    117  bool compatible_before (const Shape& other, uint8_t idx) const
    118  {
    119  auto it = dims_.begin();
    120  return std::equal(it, it + std::min(idx, rank_cap), other.dims_.begin());
    121  }
    122 
    126  bool compatible_after (const Shape& other, uint8_t idx) const
    127  {
    128  bool compatible = false;
    129  if (idx < rank_cap)
    130  {
    131  compatible = std::equal(dims_.begin() + idx,
    132  dims_.end(), other.dims_.begin() + idx);
    133  }
    134  return compatible;
    135  }
    136 
    138  std::string to_string (void) const
    139  {
    140  return ade::to_string(begin(), end());
    141  }
    142 
    143  // >>>> INTERNAL CONTROL <<<<
    144 
    146  iterator begin (void)
    147  {
    148  return dims_.begin();
    149  }
    150 
    152  iterator end (void)
    153  {
    154  return dims_.end();
    155  }
    156 
    158  const_iterator begin (void) const
    159  {
    160  return dims_.begin();
    161  }
    162 
    164  const_iterator end (void) const
    165  {
    166  return dims_.end();
    167  }
    168 
    169 private:
    170  void vector_assign (const std::vector<DimT>& dims)
    171  {
    172  auto src = dims.begin();
    173  if (std::any_of(src, dims.end(),
    174  [](DimT d)
    175  {
    176  return d == 0;
    177  }))
    178  {
    179  fatalf("cannot create shape with vector containing zero: %s",
    180  ade::to_string(dims.begin(), dims.end()).c_str());
    181  }
    182  auto dest = dims_.begin();
    183  uint8_t rank = std::min((size_t) rank_cap, dims.size());
    184  std::copy(src, src + rank, dest);
    185  std::fill(dest + rank, dest + rank_cap, 1);
    186  }
    187 
    188  void move_helper (Shape&& other)
    189  {
    190  dims_ = std::move(other.dims_);
    191  std::fill(other.dims_.begin(), other.dims_.end(), 1);
    192  }
    193 
    195  ShapeT dims_;
    196 };
    197 
    204 NElemT index (Shape shape, CoordT coord);
    205 
    209 CoordT coordinate (Shape shape, NElemT idx);
    210 
    211 }
    212 
    213 #endif // ADE_SHAPE_HPP
    ade::Shape::at
    DimT at(uint8_t idx) const
    Return DimT element at idx for any index in range [0:rank_cap)
    Definition: shape.hpp:97
    +
    ade::NElemT
    uint64_t NElemT
    Definition: shape.hpp:33
    +
    ade::Shape::move_helper
    void move_helper(Shape &&other)
    Definition: shape.hpp:188
    +
    ade::CDimT
    int16_t CDimT
    Type used for coordinate dimensions.
    Definition: shape.hpp:28
    +
    ade::ShapeT
    std::array< DimT, rank_cap > ShapeT
    Array type used to hold dimension info in Shape.
    Definition: shape.hpp:39
    +
    ade::rank_cap
    const uint8_t rank_cap
    Number of dimsensions in a shape/coordinate.
    Definition: shape.hpp:36
    +
    ade::DimT
    uint8_t DimT
    Type used for shape dimension.
    Definition: shape.hpp:25
    +
    ade::Shape::begin
    const_iterator begin(void) const
    Return begin constant iterator of internal array.
    Definition: shape.hpp:158
    +
    ade::Shape::to_string
    std::string to_string(void) const
    Return string representation of shape.
    Definition: shape.hpp:138
    +
    ade::Shape::operator=
    Shape & operator=(const Shape &other)=default
    +
    ade::Shape::end
    iterator end(void)
    Return end iterator of internal array.
    Definition: shape.hpp:152
    +
    ade::Shape::n_elems
    NElemT n_elems(void) const
    Return the total number of elements represented by the shape.
    Definition: shape.hpp:108
    +
    ade::Shape::iterator
    ShapeT::iterator iterator
    Type of iterator used to iterate through internal array.
    Definition: shape.hpp:54
    +
    llo::copy
    void copy(T *out, ade::Shape outshape, VecRef< T > in)
    Definition: operator.hpp:43
    +
    ade::Shape::Shape
    Shape(Shape &&other)
    Definition: shape.hpp:79
    +
    ade::Shape::compatible_after
    bool compatible_after(const Shape &other, uint8_t idx) const
    Definition: shape.hpp:126
    +
    ade::Shape::begin
    iterator begin(void)
    Return begin iterator of internal array.
    Definition: shape.hpp:146
    +
    ade::fatalf
    void fatalf(std::string format, ARGS... args)
    Fatal using global logger with arguments.
    Definition: log.hpp:94
    +
    ade::Shape::const_iterator
    ShapeT::const_iterator const_iterator
    Type of constant iterator used to iterate through internal array.
    Definition: shape.hpp:57
    +
    ade
    Definition: coord.hpp:18
    +
    ade::Shape::compatible_before
    bool compatible_before(const Shape &other, uint8_t idx) const
    Definition: shape.hpp:117
    +
    ade::Shape::vector_assign
    void vector_assign(const std::vector< DimT > &dims)
    Definition: shape.hpp:170
    +
    ade::Shape::Shape
    Shape(std::vector< DimT > dims)
    Definition: shape.hpp:64
    +
    ade::index
    NElemT index(Shape shape, CoordT coord)
    +
    ade::Shape::dims_
    ShapeT dims_
    Array of dimension values.
    Definition: shape.hpp:195
    +
    ade::Shape
    Definition: shape.hpp:51
    +
    ade::CoordT
    std::array< CDimT, rank_cap > CoordT
    Definition: shape.hpp:45
    +
    ade::to_string
    std::string to_string(T arg)
    Return string representation for common arguments.
    Definition: string.hpp:67
    +
    ade::Shape::end
    const_iterator end(void) const
    Return end constant iterator of internal array.
    Definition: shape.hpp:164
    +
    ade::coordinate
    CoordT coordinate(Shape shape, NElemT idx)
    + +
    ade::Shape::Shape
    Shape(void)
    Definition: shape.hpp:59
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    llo::min
    DataNode min(std::vector< DataNode > args)
    Get Element-wise minimum of args.
    Definition: api.cpp:172
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    static ade::Tensorptr llo::prune0 (bool &is_zero, ade::iFunctor *func, std::vector< bool > zeros, ade::ArgsT args)
     
    DataNode llo::zero_prune (DataNode root)
     
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    #define LLO_SHEAR_HPP
     
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    DataNode llo::zero_prune (DataNode root)
     
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    ◆ LLO_SHEAR_HPP

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    #define LLO_SHEAR_HPP
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    shear.hpp llo

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    Purpose: Define llo graph pruning functions

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    1 
    9 #include "llo/traveler.hpp"
    10 
    11 #ifndef LLO_SHEAR_HPP
    12 #define LLO_SHEAR_HPP
    13 
    14 namespace llo
    15 {
    16 
    19 DataNode zero_prune (DataNode root);
    20 
    21 }
    22 
    23 #endif // LLO_SHEAR_HPP
    +
    llo::zero_prune
    DataNode zero_prune(DataNode root)
    Definition: shear.cpp:119
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    Definition: api.hpp:14
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    void save_data (tenncor::Source *out, llo::iSource *in)
     Marshal llo::iSource to tenncor::Source. More...
     
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     Unmarshal tenncor::Source as DataNode containing context of source. More...
     
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    auto vec = arr.data();\
    return llo::Source<TYPE>::get(shape,\
    std::vector<TYPE>(vec.begin(), vec.end()));
    llo::Source::get
    static DataNode get(ade::Shape shape, std::vector< T > data)
    Return a Source of input shape and containing input data.
    Definition: node.hpp:22
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    )
    +
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    void save_data (tenncor::Source *out, llo::iSource *in)
     Marshal llo::iSource to tenncor::Source. More...
     
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    1 
    9 #include "llo/node.hpp"
    10 
    11 #include "pbm/graph.pb.h"
    12 
    14 void save_data (tenncor::Source* out, llo::iSource* in);
    15 
    17 llo::DataNode load_source (const tenncor::Source& source);
    save_data
    void save_data(tenncor::Source *out, llo::iSource *in)
    Marshal llo::iSource to tenncor::Source.
    Definition: source.cpp:10
    +
    load_source
    llo::DataNode load_source(const tenncor::Source &source)
    Unmarshal tenncor::Source as DataNode containing context of source.
    Definition: source.cpp:100
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    llo::iSource
    Interface for leaves with tensor data.
    Definition: eval.hpp:22
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    void ade::to_stream (std::ostream &s, const char *str)
     Stream C-style strings to s. More...
     
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     Stream std::strings to s. More...
     
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     Stream byte-size integers and display as numbers to s. More...
     
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     Stream byte-size unsigned integers and display as numbers to s. More...
     
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     Stream generic value to s. More...
     
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    void ade::to_stream (std::ostream &s, Iterator begin, Iterator end)
     Stream values between iterators as an array. More...
     
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    std::string ade::to_string (T arg)
     Return string representation for common arguments. More...
     
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    std::string ade::to_string (Iterator begin, Iterator end)
     Return string representation of values between iterators. More...
     
    template<typename... ARGS>
    std::string ade::sprintf (std::string format, ARGS... args)
     Return std::string with snprintf formatting. More...
     
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    const char ade::arr_begin = '['
     Symbol for the start of an array as string. More...
     
    const char ade::arr_end = ']'
     Symbol for the end of an array as string. More...
     
    const char ade::arr_delim = '\\'
     Symbol for the delimter between elements of an array as string. More...
     
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    1 
    9 #include <algorithm>
    10 #include <string>
    11 #include <sstream>
    12 #include <tuple>
    13 
    14 #ifndef ADE_STRING_HPP
    15 #define ADE_STRING_HPP
    16 
    17 namespace ade
    18 {
    19 
    21 const char arr_begin = '[';
    22 
    24 const char arr_end = ']';
    25 
    27 const char arr_delim = '\\';
    28 
    30 void to_stream (std::ostream& s, const char* str);
    31 
    33 void to_stream (std::ostream& s, std::string str);
    34 
    36 void to_stream (std::ostream& s, int8_t c);
    37 
    39 void to_stream (std::ostream& s, uint8_t c);
    40 
    42 template <typename T>
    43 void to_stream (std::ostream& s, T val)
    44 {
    45  s << val;
    46 }
    47 
    49 template <typename Iterator>
    50 void to_stream (std::ostream& s, Iterator begin, Iterator end)
    51 {
    52  s << arr_begin;
    53  if (begin != end)
    54  {
    55  to_stream(s, *(begin++));
    56  while (begin != end)
    57  {
    58  s << arr_delim;
    59  to_stream(s, *(begin++));
    60  }
    61  }
    62  s << arr_end;
    63 }
    64 
    66 template <typename T>
    67 std::string to_string (T arg)
    68 {
    69  std::stringstream ss;
    70  to_stream(ss, arg);
    71  return ss.str();
    72 }
    73 
    75 template <typename Iterator>
    76 std::string to_string (Iterator begin, Iterator end)
    77 {
    78  std::stringstream ss;
    79  to_stream(ss, begin, end);
    80  return ss.str();
    81 }
    82 
    84 template <typename... ARGS>
    85 std::string sprintf (std::string format, ARGS... args)
    86 {
    87  size_t n = std::snprintf(nullptr, 0, format.c_str(), args...) + 1;
    88  char buf[n];
    89  std::snprintf(buf, n, format.c_str(), args...);
    90  return std::string(buf, buf + n - 1);
    91 }
    92 
    93 }
    94 
    95 #endif // ADE_STRING_HPP
    ade::sprintf
    std::string sprintf(std::string format, ARGS... args)
    Return std::string with snprintf formatting.
    Definition: string.hpp:85
    +
    ade::to_stream
    void to_stream(std::ostream &s, const char *str)
    Stream C-style strings to s.
    +
    ade
    Definition: coord.hpp:18
    +
    ade::arr_end
    const char arr_end
    Symbol for the end of an array as string.
    Definition: string.hpp:24
    +
    ade::to_string
    std::string to_string(T arg)
    Return string representation for common arguments.
    Definition: string.hpp:67
    +
    ade::arr_begin
    const char arr_begin
    Symbol for the start of an array as string.
    Definition: string.hpp:21
    +
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    const char arr_delim
    Symbol for the delimter between elements of an array as string.
    Definition: string.hpp:27
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    error(std::string msg) const overrideTestLoggerinlinevirtual
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    latest_error_TestLoggerstatic
    latest_fatal_TestLoggerstatic
    latest_warning_TestLoggerstatic
    warn(std::string msg) const overrideTestLoggerinlinevirtual
    ~iLogger(void)=defaultade::iLoggervirtual
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    access(std::function< void(const MatrixT &)> cb) const overrideade::CoordMapinlinevirtual
    backward(CoordT::iterator out, CoordT::const_iterator in) const overrideade::CoordMapvirtual
    bwd_ade::CoordMapprivate
    CoordMap(std::function< void(MatrixT)> init)ade::CoordMapinline
    CoordMap(const MatrixT fwd, const MatrixT bwd)ade::CoordMapinlineprivate
    forward(CoordT::iterator out, CoordT::const_iterator in) const overrideade::CoordMapvirtual
    fwd_ade::CoordMapprivate
    reverse(void) const overrideade::CoordMapinlinevirtual
    to_string(void) const overrideade::CoordMapinlinevirtual
    ~iCoordMap(void)=defaultade::iCoordMapvirtual
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    ade::CoordMap Struct Referencefinal
    +
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    #include <coord.hpp>

    +
    +Inheritance diagram for ade::CoordMap:
    +
    +
    + + +ade::iCoordMap + +
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    +Public Member Functions

     CoordMap (std::function< void(MatrixT)> init)
     
    void forward (CoordT::iterator out, CoordT::const_iterator in) const override
     Implementation of iCoordMap. More...
     
    void backward (CoordT::iterator out, CoordT::const_iterator in) const override
     Implementation of iCoordMap. More...
     
    iCoordMap * reverse (void) const override
     Implementation of iCoordMap. More...
     
    std::string to_string (void) const override
     Implementation of iCoordMap. More...
     
    void access (std::function< void(const MatrixT &)> cb) const override
     Implementation of iCoordMap. More...
     
    - Public Member Functions inherited from ade::iCoordMap
    virtual ~iCoordMap (void)=default
     
    + + + +

    +Private Member Functions

     CoordMap (const MatrixT fwd, const MatrixT bwd)
     
    + + + + + + + +

    +Private Attributes

    MatrixT fwd_
     Forward transformation matrix. More...
     
    MatrixT bwd_
     Inverse of the forward transformation matrix. More...
     
    +

    Detailed Description

    +

    Coordinate transformation implementation using homogeneous matrices The transformation matrix must be inversible otherwise fatal on creation

    +

    Constructor & Destructor Documentation

    + +

    ◆ CoordMap() [1/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    ade::CoordMap::CoordMap (std::function< void(MatrixT)> init)
    +     		+inline
    +
    + +
    +
    + +

    ◆ CoordMap() [2/2]

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + +
    ade::CoordMap::CoordMap (const MatrixT fwd,
    const MatrixT bwd 
    )
    +     		+inlineprivate
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ access()

    + +
    +
    + + + + + +
    + + + + + + + + +
    void ade::CoordMap::access (std::function< void(const MatrixT &)> cb) const
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iCoordMap.

    + +

    Implements ade::iCoordMap.

    + +
    +
    + +

    ◆ backward()

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + +
    void ade::CoordMap::backward (CoordT::iterator out,
    CoordT::const_iterator in 
    ) const
    +     		+overridevirtual
    +
    + +

    Implementation of iCoordMap.

    + +

    Implements ade::iCoordMap.

    + +
    +
    + +

    ◆ forward()

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + +
    void ade::CoordMap::forward (CoordT::iterator out,
    CoordT::const_iterator in 
    ) const
    +     		+overridevirtual
    +
    + +

    Implementation of iCoordMap.

    + +

    Implements ade::iCoordMap.

    + +
    +
    + +

    ◆ reverse()

    + +
    +
    + + + + + +
    + + + + + + + + +
    iCoordMap* ade::CoordMap::reverse (void ) const
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iCoordMap.

    + +

    Implements ade::iCoordMap.

    + +
    +
    + +

    ◆ to_string()

    + +
    +
    + + + + + +
    + + + + + + + + +
    std::string ade::CoordMap::to_string (void ) const
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iCoordMap.

    + +

    Implements ade::iCoordMap.

    + +
    +
    +

    Member Data Documentation

    + +

    ◆ bwd_

    + +
    +
    + + + + + +
    + + + + +
    MatrixT ade::CoordMap::bwd_
    +     		+private
    +
    + +

    Inverse of the forward transformation matrix.

    + +
    +
    + +

    ◆ fwd_

    + +
    +
    + + + + + +
    + + + + +
    MatrixT ade::CoordMap::fwd_
    +     		+private
    +
    + +

    Forward transformation matrix.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/structade_1_1_coord_map.png b/docs/structade_1_1_coord_map.png new file mode 100644 index 0000000000000000000000000000000000000000..3862d45777d794a7933f3f8fbcc635ad0d2245ce GIT binary patch literal 530 zcmeAS@N?(olHy`uVBq!ia0vp^X+Rvn!3-qtD1CSUq$C1-LR|m<{|{uoc=NTi|Ih>= z3ycpOIKbL@M;^%KC<*clW&kPzfvcxNj2IXg7kaulhEy=Vo%?p(V*?J>riufZcp5JP1mcLc?EY4l`Y_3~v zvt{5UldFB2_bLt5mxb-FeRqFbS@0^()eo2?436%ed3$G{<~OnYc{a~Vu4J8=IO`XW z75}be%xt=~=o*eBMU)WFCFCOJdgk?)rm!`k#EhYjIuYZ~?dT+ReLf z{(h5vxqRvNOUo?sqT>DB?R+--PF^BEZRVdt9zg-z%ASt4?I$gt-)0rK%Kf0uwz+bz z+(Vn@n;QNFa)u!MluLh=81JlYW#o8eZuov# zawNmDTQO&=1;5HZGl(fJ^Z6JjnryK3!LG;KYCf+%8dAW>Gvm?SGiJ@X+e`NEK0Eo~ zoNG~Co$FVgSE#?R?d7N6Z-RSFOMCoHq-U)?>ho3`=qI&Za + + + + + + +Tenncor: Member List + + + + + + + + + +
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    error(std::string msg) const overrideade::DefLoggerinlinevirtual
    fatal(std::string msg) const overrideade::DefLoggerinlinevirtual
    warn(std::string msg) const overrideade::DefLoggerinlinevirtual
    ~iLogger(void)=defaultade::iLoggervirtual
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    +
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    Default implementation of iLogger used in ADE. + More...

    + +

    #include <log.hpp>

    +
    +Inheritance diagram for ade::DefLogger:
    +
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    +Public Member Functions

    void warn (std::string msg) const override
     Implementation of iLogger. More...
     
    void error (std::string msg) const override
     Implementation of iLogger. More...
     
    void fatal (std::string msg) const override
     Implementation of iLogger. More...
     
    - Public Member Functions inherited from ade::iLogger
    virtual ~iLogger (void)=default
     
    +

    Detailed Description

    +

    Default implementation of iLogger used in ADE.

    +

    Member Function Documentation

    + +

    ◆ error()

    + +
    +
    + + + + + +
    + + + + + + + + +
    void ade::DefLogger::error (std::string msg) const
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iLogger.

    + +

    Implements ade::iLogger.

    + +
    +
    + +

    ◆ fatal()

    + +
    +
    + + + + + +
    + + + + + + + + +
    void ade::DefLogger::fatal (std::string msg) const
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iLogger.

    + +

    Implements ade::iLogger.

    + +
    +
    + +

    ◆ warn()

    + +
    +
    + + + + + +
    + + + + + + + + +
    void ade::DefLogger::warn (std::string msg) const
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iLogger.

    + +

    Implements ade::iLogger.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
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    + + diff --git a/docs/structade_1_1_def_logger.png b/docs/structade_1_1_def_logger.png new file mode 100644 index 0000000000000000000000000000000000000000..a8d5de091766b0fa5d478f622518bf50e77465df GIT binary patch literal 509 zcmVvTJkN^MxkN^Mxkifve1&Q1r00008bW%=J0RR90|NsC0)yh;d0004uNklT%BS>LF<}{Jtt)wO4A*mwYt)N|GH< zzvm`0N%Hg*!)rcC+UdDC)|55h|M6{?q?o>lk#o*{1#nF_fX;dY<96#0c?08)=ni=Y z<7@hAFaUxY41kyh10bfs0ElTY0Ad;pfS3jYAf|uJNGYYxA^~*OU;xDQDaL-M^u}i6 z(#=AQ-R5KZH^zL|`HuGHWw!2?$BCD9Ud~<_^W~;9HY>xZyQf~pd72+`imNnFjrnvZ5*z4|>j zkpXtRhT(PN%fDA^%DmIYw;dp+FJh#WQeXW5d({=IAn!*_00000NkvXXu0mjfnGf@U literal 0 HcmV?d00001 diff --git a/docs/structade_1_1_functor-members.html b/docs/structade_1_1_functor-members.html new file mode 100644 index 000000000..085ee58b3 --- /dev/null +++ b/docs/structade_1_1_functor-members.html @@ -0,0 +1,96 @@ + + + + + + + +Tenncor: Member List + + + + + + + + + +
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    This is the complete list of members for ade::Functor, including all inherited members.

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    accept(iTraveler &visiter) overrideade::iFunctorinlinevirtual
    args_ade::Functorprivate
    Functor(OPCODE opcode, Shape shape, ArgsT args)ade::Functorinlineprivate
    get(OPCODE opcode, ArgsT args)ade::Functorinlinestatic
    get_children(void) const overrideade::Functorinlinevirtual
    get_code(void) const overrideade::Functorinlinevirtual
    gradient(const iTensor *wrt) overrideade::Functorinlinevirtual
    opcode_ade::Functorprivate
    shape(void) const overrideade::Functorinlinevirtual
    shape_ade::Functorprivate
    to_string(void) const overrideade::Functorinlinevirtual
    ~iFunctor(void)=defaultade::iFunctorvirtual
    ~iTensor(void)=defaultade::iTensorvirtual
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    ade::Functor Struct Referencefinal
    +
    +
    + +

    Functor of the graph mapping to operators specified by opcode argument. + More...

    + +

    #include <functor.hpp>

    +
    +Inheritance diagram for ade::Functor:
    +
    +
    + + +ade::iFunctor +ade::iTensor + +
    + + + + + + + + + + + + + + + + + + + + + + + + + + +

    +Public Member Functions

    const Shape & shape (void) const override
     Implementation of iTensor. More...
     
    Tensorptr gradient (const iTensor *wrt) override
     Implementation of iTensor. More...
     
    std::string to_string (void) const override
     Implementation of iTensor. More...
     
    OPCODE get_code (void) const override
     Implementation of iFunctor. More...
     
    const ArgsT & get_children (void) const override
     Implementation of iFunctor. More...
     
    - Public Member Functions inherited from ade::iFunctor
    virtual ~iFunctor (void)=default
     
    void accept (iTraveler &visiter) override
     Implementation of iTensor. More...
     
    - Public Member Functions inherited from ade::iTensor
    virtual ~iTensor (void)=default
     
    + + + + +

    +Static Public Member Functions

    static Functor * get (OPCODE opcode, ArgsT args)
     Return a Functor with with input tensor and meta arguments. More...
     
    + + + +

    +Private Member Functions

     Functor (OPCODE opcode, Shape shape, ArgsT args)
     
    + + + + + + + + + + +

    +Private Attributes

    OPCODE opcode_
     OPCODE represented by functor. More...
     
    Shape shape_
     Shape info built at construction time according to arguments. More...
     
    ArgsT args_
     Tensor arguments (and children) More...
     
    +

    Detailed Description

    +

    Functor of the graph mapping to operators specified by opcode argument.

    +

    Constructor & Destructor Documentation

    + +

    ◆ Functor()

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    ade::Functor::Functor (OPCODE opcode,
    Shape shape,
    ArgsT args 
    )
    +     		+inlineprivate
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ get()

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + +
    static Functor* ade::Functor::get (OPCODE opcode,
    ArgsT args 
    )
    +     		+inlinestatic
    +
    + +

    Return a Functor with with input tensor and meta arguments.

    + +
    +
    + +

    ◆ get_children()

    + +
    +
    + + + + + +
    + + + + + + + + +
    const ArgsT& ade::Functor::get_children (void ) const
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iFunctor.

    + +

    Implements ade::iFunctor.

    + +
    +
    + +

    ◆ get_code()

    + +
    +
    + + + + + +
    + + + + + + + + +
    OPCODE ade::Functor::get_code (void ) const
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iFunctor.

    + +

    Implements ade::iFunctor.

    + +
    +
    + +

    ◆ gradient()

    + +
    +
    + + + + + +
    + + + + + + + + +
    Tensorptr ade::Functor::gradient (const iTensor * wrt)
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iTensor.

    + +

    Implements ade::iTensor.

    + +
    +
    + +

    ◆ shape()

    + +
    +
    + + + + + +
    + + + + + + + + +
    const Shape& ade::Functor::shape (void ) const
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iTensor.

    + +

    Implements ade::iTensor.

    + +
    +
    + +

    ◆ to_string()

    + +
    +
    + + + + + +
    + + + + + + + + +
    std::string ade::Functor::to_string (void ) const
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iTensor.

    + +

    Implements ade::iTensor.

    + +
    +
    +

    Member Data Documentation

    + +

    ◆ args_

    + +
    +
    + + + + + +
    + + + + +
    ArgsT ade::Functor::args_
    +     		+private
    +
    + +

    Tensor arguments (and children)

    + +
    +
    + +

    ◆ opcode_

    + +
    +
    + + + + + +
    + + + + +
    OPCODE ade::Functor::opcode_
    +     		+private
    +
    + +

    OPCODE represented by functor.

    + +
    +
    + +

    ◆ shape_

    + +
    +
    + + + + + +
    + + + + +
    Shape ade::Functor::shape_
    +     		+private
    +
    + +

    Shape info built at construction time according to arguments.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
    + +
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    + + diff --git a/docs/structade_1_1_functor.png b/docs/structade_1_1_functor.png new file mode 100644 index 0000000000000000000000000000000000000000..f19e89d3358b6ea53e0da0e126561191bd78bd58 GIT binary patch literal 590 zcmV-U0vTJkN^MxkN^Mxkifve1&Q1r00008bW%=J0RR90|NsC0)yh;d0005qNkl^(5nRi#%m6CS*CF3U{~r4?j-EXIw7!u4QyZm_y}xZ1N#Hmlu{ZmBmfw#zsTO{z3iNrq4*M1bxHSdB5iNsS~oJcS2pVvgZ{#>U4HO{1XBTK*sB^ cDWx=Af6((JH`ET)0RR9107*qoM6N<$f&gX}`~Uy| literal 0 HcmV?d00001 diff --git a/docs/structade_1_1_path_finder-members.html b/docs/structade_1_1_path_finder-members.html new file mode 100644 index 000000000..d075f7007 --- /dev/null +++ b/docs/structade_1_1_path_finder-members.html @@ -0,0 +1,90 @@ + + + + + + + +Tenncor: Member List + + + + + + + + + +
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    ade::PathFinder Member List
    +
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    + +

    This is the complete list of members for ade::PathFinder, including all inherited members.

    + + + + + + + + +
    ParentMapT typedefade::PathFinder
    parents_ade::PathFinder
    PathFinder(const iTensor *target)ade::PathFinderinline
    target_ade::PathFinder
    visit(Tensor *leaf) overrideade::PathFinderinlinevirtual
    visit(iFunctor *func) overrideade::PathFinderinlinevirtual
    ~iTraveler(void)=defaultade::iTravelervirtual
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    ade::PathFinder Struct Referencefinal
    +
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    #include <functor.hpp>

    +
    +Inheritance diagram for ade::PathFinder:
    +
    +
    + + +ade::iTraveler + +
    + + + + + +

    +Public Types

    using ParentMapT = std::unordered_map< iTensor *, std::vector< bool > >
     Type for mapping function nodes in path to boolean vector. More...
     
    + + + + + + + + + + + + +

    +Public Member Functions

     PathFinder (const iTensor *target)
     
    void visit (Tensor *leaf) override
     Implementation of iTraveler. More...
     
    void visit (iFunctor *func) override
     Implementation of iTraveler. More...
     
    - Public Member Functions inherited from ade::iTraveler
    virtual ~iTraveler (void)=default
     
    + + + + + + + +

    +Public Attributes

    const iTensor * target_
     Target of tensor all paths are travelling to. More...
     
    ParentMapT parents_
     Map of parent nodes in path. More...
     
    +

    Detailed Description

    +

    Traveler implementation that paints paths to a target tensor All nodes in the path are added as keys to the parents_ map with the values being a boolean vector denoting nodes leading to target For a boolean value x at index i in mapped vector, x is true if the ith child leads to target

    +

    Member Typedef Documentation

    + +

    ◆ ParentMapT

    + +
    +
    + + + + +
    using ade::PathFinder::ParentMapT = std::unordered_map<iTensor*,std::vector<bool> >
    +
    + +

    Type for mapping function nodes in path to boolean vector.

    + +
    +
    +

    Constructor & Destructor Documentation

    + +

    ◆ PathFinder()

    + +
    +
    + + + + + +
    + + + + + + + + +
    ade::PathFinder::PathFinder (const iTensor * target)
    +     		+inline
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ visit() [1/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    void ade::PathFinder::visit (Tensor * leaf)
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iTraveler.

    + +

    Implements ade::iTraveler.

    + +
    +
    + +

    ◆ visit() [2/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    void ade::PathFinder::visit (iFunctor * func)
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iTraveler.

    + +

    Implements ade::iTraveler.

    + +
    +
    +

    Member Data Documentation

    + +

    ◆ parents_

    + +
    +
    + + + + +
    ParentMapT ade::PathFinder::parents_
    +
    + +

    Map of parent nodes in path.

    + +
    +
    + +

    ◆ target_

    + +
    +
    + + + + +
    const iTensor* ade::PathFinder::target_
    +
    + +

    Target of tensor all paths are travelling to.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/structade_1_1_path_finder.png b/docs/structade_1_1_path_finder.png new file mode 100644 index 0000000000000000000000000000000000000000..1e8dedf06be4b313ba6ec542ca6e7a40029a43a4 GIT binary patch literal 494 zcmeAS@N?(olHy`uVBq!ia0vp^sX!dS!3-qLMZF&bDTx4|5ZC|z{{xvX-h3_XKQsZz z0^T2B|pkP61Pb1(L_DDb%QPe1bi|C70) zEn!o9%rAPT&8#qWxE*{eZQe=C=eJ#_EtzeqIZ5PVyQb%)+DVtbOv!5=l1rVcxB$cq+=(| zetT%9Z{2b<|GQ-1FRMAlF=z7&_ka>b=jqSJ1t#cM`C zT79%CCic38`n&2cUYc>)65F$;oI4UUt8}x@6X&BbOUe>{Upkb3{nq=EUxt}8y1xF~ zcj4+07VER;9<0|&`zw2NYN5|d8~56u+(*AYEjebk*i2>L$=p49ns|EC2ui literal 0 HcmV?d00001 diff --git a/docs/structade_1_1_shape-members.html b/docs/structade_1_1_shape-members.html new file mode 100644 index 000000000..bdc0c7310 --- /dev/null +++ b/docs/structade_1_1_shape-members.html @@ -0,0 +1,104 @@ + + + + + + + +Tenncor: Member List + + + + + + + + + +
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    ade::Shape Member List
    +
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    + +

    This is the complete list of members for ade::Shape, including all inherited members.

    + + + + + + + + + + + + + + + + + + + + + + +
    at(uint8_t idx) constade::Shapeinline
    begin(void)ade::Shapeinline
    begin(void) constade::Shapeinline
    compatible_after(const Shape &other, uint8_t idx) constade::Shapeinline
    compatible_before(const Shape &other, uint8_t idx) constade::Shapeinline
    const_iterator typedefade::Shape
    dims_ade::Shapeprivate
    end(void)ade::Shapeinline
    end(void) constade::Shapeinline
    iterator typedefade::Shape
    move_helper(Shape &&other)ade::Shapeinlineprivate
    n_elems(void) constade::Shapeinline
    operator=(const Shape &other)=defaultade::Shape
    operator=(const std::vector< DimT > &dims)ade::Shapeinline
    operator=(Shape &&other)ade::Shapeinline
    Shape(void)ade::Shapeinline
    Shape(std::vector< DimT > dims)ade::Shapeinline
    Shape(const Shape &other)=defaultade::Shape
    Shape(Shape &&other)ade::Shapeinline
    to_string(void) constade::Shapeinline
    vector_assign(const std::vector< DimT > &dims)ade::Shapeinlineprivate
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    ade::Shape Struct Referencefinal
    +
    +
    + +

    #include <shape.hpp>

    + + + + + + + + +

    +Public Types

    using iterator = ShapeT::iterator
     Type of iterator used to iterate through internal array. More...
     
    using const_iterator = ShapeT::const_iterator
     Type of constant iterator used to iterate through internal array. More...
     
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

    +Public Member Functions

     Shape (void)
     
     Shape (std::vector< DimT > dims)
     
     Shape (const Shape &other)=default
     
    Shape & operator= (const Shape &other)=default
     
    Shape & operator= (const std::vector< DimT > &dims)
     
     Shape (Shape &&other)
     
    Shape & operator= (Shape &&other)
     
    DimT at (uint8_t idx) const
     Return DimT element at idx for any index in range [0:rank_cap) More...
     
    NElemT n_elems (void) const
     Return the total number of elements represented by the shape. More...
     
    bool compatible_before (const Shape &other, uint8_t idx) const
     
    bool compatible_after (const Shape &other, uint8_t idx) const
     
    std::string to_string (void) const
     Return string representation of shape. More...
     
    iterator begin (void)
     Return begin iterator of internal array. More...
     
    iterator end (void)
     Return end iterator of internal array. More...
     
    const_iterator begin (void) const
     Return begin constant iterator of internal array. More...
     
    const_iterator end (void) const
     Return end constant iterator of internal array. More...
     
    + + + + + +

    +Private Member Functions

    void vector_assign (const std::vector< DimT > &dims)
     
    void move_helper (Shape &&other)
     
    + + + + +

    +Private Attributes

    ShapeT dims_
     Array of dimension values. More...
     
    +

    Detailed Description

    +

    Models an aligned shape using an array of DimT values For each DimT at index i, DimT value is number of elements at dimension i For example, shape={3, 2} can model tensor [[x, y, z], [u, v, w]] (In cartesian coordinate, we treat values along the X-axis as dimension 0)

    +

    Member Typedef Documentation

    + +

    ◆ const_iterator

    + +
    +
    + + + + +
    using ade::Shape::const_iterator = ShapeT::const_iterator
    +
    + +

    Type of constant iterator used to iterate through internal array.

    + +
    +
    + +

    ◆ iterator

    + +
    +
    + + + + +
    using ade::Shape::iterator = ShapeT::iterator
    +
    + +

    Type of iterator used to iterate through internal array.

    + +
    +
    +

    Constructor & Destructor Documentation

    + +

    ◆ Shape() [1/4]

    + +
    +
    + + + + + +
    + + + + + + + + +
    ade::Shape::Shape (void )
    +     		+inline
    +
    + +
    +
    + +

    ◆ Shape() [2/4]

    + +
    +
    + + + + + +
    + + + + + + + + +
    ade::Shape::Shape (std::vector< DimT > dims)
    +     		+inline
    +
    + +
    +
    + +

    ◆ Shape() [3/4]

    + +
    +
    + + + + + +
    + + + + + + + + +
    ade::Shape::Shape (const Shape & other)
    +     		+default
    +
    + +
    +
    + +

    ◆ Shape() [4/4]

    + +
    +
    + + + + + +
    + + + + + + + + +
    ade::Shape::Shape (Shape && other)
    +     		+inline
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ at()

    + +
    +
    + + + + + +
    + + + + + + + + +
    DimT ade::Shape::at (uint8_t idx) const
    +     		+inline
    +
    + +

    Return DimT element at idx for any index in range [0:rank_cap)

    + +
    +
    + +

    ◆ begin() [1/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    iterator ade::Shape::begin (void )
    +     		+inline
    +
    + +

    Return begin iterator of internal array.

    + +
    +
    + +

    ◆ begin() [2/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    const_iterator ade::Shape::begin (void ) const
    +     		+inline
    +
    + +

    Return begin constant iterator of internal array.

    + +
    +
    + +

    ◆ compatible_after()

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + +
    bool ade::Shape::compatible_after (const Shape & other,
    uint8_t idx 
    ) const
    +     		+inline
    +
    +

    Return true if this->dims_[idx:rank_cap) is equal to other.dims_[idx:rank_cap), otherwise return false Set idx to 0 to compare entire shape

    + +
    +
    + +

    ◆ compatible_before()

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + +
    bool ade::Shape::compatible_before (const Shape & other,
    uint8_t idx 
    ) const
    +     		+inline
    +
    +

    Return true if this->dims_[0:idx) is equal to other.dims_[0:idx), otherwise return false

    + +
    +
    + +

    ◆ end() [1/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    iterator ade::Shape::end (void )
    +     		+inline
    +
    + +

    Return end iterator of internal array.

    + +
    +
    + +

    ◆ end() [2/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    const_iterator ade::Shape::end (void ) const
    +     		+inline
    +
    + +

    Return end constant iterator of internal array.

    + +
    +
    + +

    ◆ move_helper()

    + +
    +
    + + + + + +
    + + + + + + + + +
    void ade::Shape::move_helper (Shape && other)
    +     		+inlineprivate
    +
    + +
    +
    + +

    ◆ n_elems()

    + +
    +
    + + + + + +
    + + + + + + + + +
    NElemT ade::Shape::n_elems (void ) const
    +     		+inline
    +
    + +

    Return the total number of elements represented by the shape.

    + +
    +
    + +

    ◆ operator=() [1/3]

    + +
    +
    + + + + + +
    + + + + + + + + +
    Shape& ade::Shape::operator= (const Shape & other)
    +     		+default
    +
    + +
    +
    + +

    ◆ operator=() [2/3]

    + +
    +
    + + + + + +
    + + + + + + + + +
    Shape& ade::Shape::operator= (const std::vector< DimT > & dims)
    +     		+inline
    +
    + +
    +
    + +

    ◆ operator=() [3/3]

    + +
    +
    + + + + + +
    + + + + + + + + +
    Shape& ade::Shape::operator= (Shape && other)
    +     		+inline
    +
    + +
    +
    + +

    ◆ to_string()

    + +
    +
    + + + + + +
    + + + + + + + + +
    std::string ade::Shape::to_string (void ) const
    +     		+inline
    +
    + +

    Return string representation of shape.

    + +
    +
    + +

    ◆ vector_assign()

    + +
    +
    + + + + + +
    + + + + + + + + +
    void ade::Shape::vector_assign (const std::vector< DimT > & dims)
    +     		+inlineprivate
    +
    + +
    +
    +

    Member Data Documentation

    + +

    ◆ dims_

    + +
    +
    + + + + + +
    + + + + +
    ShapeT ade::Shape::dims_
    +     		+private
    +
    + +

    Array of dimension values.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/structade_1_1_tensor-members.html b/docs/structade_1_1_tensor-members.html new file mode 100644 index 000000000..3105bd756 --- /dev/null +++ b/docs/structade_1_1_tensor-members.html @@ -0,0 +1,93 @@ + + + + + + + +Tenncor: Member List + + + + + + + + + +
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    ade::Tensor Member List
    +
    +
    + +

    This is the complete list of members for ade::Tensor, including all inherited members.

    + + + + + + + + + + + +
    accept(iTraveler &visiter) overrideade::Tensorinlinevirtual
    get(Shape shape)ade::Tensorinlinestatic
    gradient(const iTensor *wrt) overrideade::Tensorinlinevirtual
    shape(void) const overrideade::Tensorinlinevirtual
    shape_ade::Tensorprivate
    SYMBOLIC_ONEade::Tensorstatic
    SYMBOLIC_ZEROade::Tensorstatic
    Tensor(Shape shape)ade::Tensorinlineprivate
    to_string(void) const overrideade::Tensorinlinevirtual
    ~iTensor(void)=defaultade::iTensorvirtual
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/structade_1_1_tensor.html b/docs/structade_1_1_tensor.html new file mode 100644 index 000000000..e839f9715 --- /dev/null +++ b/docs/structade_1_1_tensor.html @@ -0,0 +1,400 @@ + + + + + + + +Tenncor: ade::Tensor Struct Reference + + + + + + + + + +
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    +
    +
    ade::Tensor Struct Referencefinal
    +
    +
    + +

    Leaf of the graph commonly representing the variable in an equation. + More...

    + +

    #include <tensor.hpp>

    +
    +Inheritance diagram for ade::Tensor:
    +
    +
    + + +ade::iTensor + +
    + + + + + + + + + + + + + + + + + +

    +Public Member Functions

    void accept (iTraveler &visiter) override
     Implementation of iTensor. More...
     
    const Shape & shape (void) const override
     Implementation of iTensor. More...
     
    Tensorptr gradient (const iTensor *wrt) override
     Implementation of iTensor. More...
     
    std::string to_string (void) const override
     Implementation of iTensor. More...
     
    - Public Member Functions inherited from ade::iTensor
    virtual ~iTensor (void)=default
     
    + + + + +

    +Static Public Member Functions

    static Tensor * get (Shape shape)
     Return a Tensor with input shape. More...
     
    + + + + + + + +

    +Static Public Attributes

    static Tensorptr SYMBOLIC_ONE
     Represent a scalar containing value one. More...
     
    static Tensorptr SYMBOLIC_ZERO
     Represent a scalar containing value zero. More...
     
    + + + +

    +Private Member Functions

     Tensor (Shape shape)
     
    + + + + +

    +Private Attributes

    Shape shape_
     Shape info of the tensor instance. More...
     
    +

    Detailed Description

    +

    Leaf of the graph commonly representing the variable in an equation.

    +

    Constructor & Destructor Documentation

    + +

    ◆ Tensor()

    + +
    +
    + + + + + +
    + + + + + + + + +
    ade::Tensor::Tensor (Shape shape)
    +     		+inlineprivate
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ accept()

    + +
    +
    + + + + + +
    + + + + + + + + +
    void ade::Tensor::accept (iTraveler & visiter)
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iTensor.

    + +

    Implements ade::iTensor.

    + +
    +
    + +

    ◆ get()

    + +
    +
    + + + + + +
    + + + + + + + + +
    static Tensor* ade::Tensor::get (Shape shape)
    +     		+inlinestatic
    +
    + +

    Return a Tensor with input shape.

    + +
    +
    + +

    ◆ gradient()

    + +
    +
    + + + + + +
    + + + + + + + + +
    Tensorptr ade::Tensor::gradient (const iTensor * wrt)
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iTensor.

    + +

    Implements ade::iTensor.

    + +
    +
    + +

    ◆ shape()

    + +
    +
    + + + + + +
    + + + + + + + + +
    const Shape& ade::Tensor::shape (void ) const
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iTensor.

    + +

    Implements ade::iTensor.

    + +
    +
    + +

    ◆ to_string()

    + +
    +
    + + + + + +
    + + + + + + + + +
    std::string ade::Tensor::to_string (void ) const
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iTensor.

    + +

    Implements ade::iTensor.

    + +
    +
    +

    Member Data Documentation

    + +

    ◆ shape_

    + +
    +
    + + + + + +
    + + + + +
    Shape ade::Tensor::shape_
    +     		+private
    +
    + +

    Shape info of the tensor instance.

    + +
    +
    + +

    ◆ SYMBOLIC_ONE

    + +
    +
    + + + + + +
    + + + + +
    Tensorptr ade::Tensor::SYMBOLIC_ONE
    +     		+static
    +
    + +

    Represent a scalar containing value one.

    + +
    +
    + +

    ◆ SYMBOLIC_ZERO

    + +
    +
    + + + + + +
    + + + + +
    Tensorptr ade::Tensor::SYMBOLIC_ZERO
    +     		+static
    +
    + +

    Represent a scalar containing value zero.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/structade_1_1_tensor.png b/docs/structade_1_1_tensor.png new file mode 100644 index 0000000000000000000000000000000000000000..98123dd34a7fe64dea8b508a2c72dd0172070390 GIT binary patch literal 448 zcmeAS@N?(olHy`uVBq!ia0vp^fj}I1Zx!XQT|768zj>u~$n4LvZ(+eUIcrbB138?>+BY2im + + + + + + +Tenncor: Member List + + + + + + + + + +
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    ade::Tensorptr Member List
    +
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    + +

    This is the complete list of members for ade::Tensorptr, including all inherited members.

    + + + + + + + + + + +
    get(void) constade::Tensorptrinline
    operator->(void)ade::Tensorptrinline
    operator->(void) constade::Tensorptrinline
    ptr_ade::Tensorptrprotected
    ref(void) constade::Tensorptrinline
    Tensorptr(iTensor &tens)ade::Tensorptrinline
    Tensorptr(iTensor *tens)ade::Tensorptrinline
    Tensorptr(std::shared_ptr< iTensor > tens)ade::Tensorptrinline
    ~Tensorptr(void)=defaultade::Tensorptrvirtual
    + +
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    +
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    ade::Tensorptr Struct Reference
    +
    +
    + +

    Smart pointer to iTensor ensuring non-null references. + More...

    + +

    #include <tensor.hpp>

    + + + + + + + + + + + + + + + + + + + + +

    +Public Member Functions

     Tensorptr (iTensor &tens)
     
     Tensorptr (iTensor *tens)
     
     Tensorptr (std::shared_ptr< iTensor > tens)
     
    virtual ~Tensorptr (void)=default
     
    iTensor * operator-> (void)
     
    const iTensor * operator-> (void) const
     
    iTensor * get (void) const
     Return the raw pointer. More...
     
    std::weak_ptr< iTensor > ref (void) const
     Return the weakptr reference. More...
     
    + + + + +

    +Protected Attributes

    std::shared_ptr< iTensor > ptr_
     Strong reference to iTensor. More...
     
    +

    Detailed Description

    +

    Smart pointer to iTensor ensuring non-null references.

    +

    Constructor & Destructor Documentation

    + +

    ◆ Tensorptr() [1/3]

    + +
    +
    + + + + + +
    + + + + + + + + +
    ade::Tensorptr::Tensorptr (iTensor & tens)
    +     		+inline
    +
    + +
    +
    + +

    ◆ Tensorptr() [2/3]

    + +
    +
    + + + + + +
    + + + + + + + + +
    ade::Tensorptr::Tensorptr (iTensor * tens)
    +     		+inline
    +
    + +
    +
    + +

    ◆ Tensorptr() [3/3]

    + +
    +
    + + + + + +
    + + + + + + + + +
    ade::Tensorptr::Tensorptr (std::shared_ptr< iTensor > tens)
    +     		+inline
    +
    + +
    +
    + +

    ◆ ~Tensorptr()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual ade::Tensorptr::~Tensorptr (void )
    +     		+virtualdefault
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ get()

    + +
    +
    + + + + + +
    + + + + + + + + +
    iTensor* ade::Tensorptr::get (void ) const
    +     		+inline
    +
    + +

    Return the raw pointer.

    + +
    +
    + +

    ◆ operator->() [1/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    iTensor* ade::Tensorptr::operator-> (void )
    +     		+inline
    +
    + +
    +
    + +

    ◆ operator->() [2/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    const iTensor* ade::Tensorptr::operator-> (void ) const
    +     		+inline
    +
    + +
    +
    + +

    ◆ ref()

    + +
    +
    + + + + + +
    + + + + + + + + +
    std::weak_ptr<iTensor> ade::Tensorptr::ref (void ) const
    +     		+inline
    +
    + +

    Return the weakptr reference.

    + +
    +
    +

    Member Data Documentation

    + +

    ◆ ptr_

    + +
    +
    + + + + + +
    + + + + +
    std::shared_ptr<iTensor> ade::Tensorptr::ptr_
    +     		+protected
    +
    + +

    Strong reference to iTensor.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
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    ade::iCoordMap Member List
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    This is the complete list of members for ade::iCoordMap, including all inherited members.

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    access(std::function< void(const MatrixT &)> cb) const =0ade::iCoordMappure virtual
    backward(CoordT::iterator out, CoordT::const_iterator in) const =0ade::iCoordMappure virtual
    forward(CoordT::iterator out, CoordT::const_iterator in) const =0ade::iCoordMappure virtual
    reverse(void) const =0ade::iCoordMappure virtual
    to_string(void) const =0ade::iCoordMappure virtual
    ~iCoordMap(void)=defaultade::iCoordMapvirtual
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    ade::iCoordMap Struct Referenceabstract
    +
    +
    + +

    Interface for transforming coordinates and reversing the coordinate. + More...

    + +

    #include <coord.hpp>

    +
    +Inheritance diagram for ade::iCoordMap:
    +
    +
    + + +ade::CoordMap + +
    + + + + + + + + + + + + + + + + + +

    +Public Member Functions

    virtual ~iCoordMap (void)=default
     
    virtual void forward (CoordT::iterator out, CoordT::const_iterator in) const =0
     Forward transform coordinates. More...
     
    virtual void backward (CoordT::iterator out, CoordT::const_iterator in) const =0
     Reverse transform coordinates. More...
     
    virtual iCoordMap * reverse (void) const =0
     
    virtual std::string to_string (void) const =0
     Return string representation of coordinate transformer. More...
     
    virtual void access (std::function< void(const MatrixT &)> cb) const =0
     
    +

    Detailed Description

    +

    Interface for transforming coordinates and reversing the coordinate.

    +

    Constructor & Destructor Documentation

    + +

    ◆ ~iCoordMap()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual ade::iCoordMap::~iCoordMap (void )
    +     		+virtualdefault
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ access()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual void ade::iCoordMap::access (std::function< void(const MatrixT &)> cb) const
    +     		+pure virtual
    +
    +

    Access the matrix representation of transformer as a param to input callback function cb

    + +

    Implemented in ade::CoordMap.

    + +
    +
    + +

    ◆ backward()

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + +
    virtual void ade::iCoordMap::backward (CoordT::iterator out,
    CoordT::const_iterator in 
    ) const
    +     		+pure virtual
    +
    + +

    Reverse transform coordinates.

    + +

    Implemented in ade::CoordMap.

    + +
    +
    + +

    ◆ forward()

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + +
    virtual void ade::iCoordMap::forward (CoordT::iterator out,
    CoordT::const_iterator in 
    ) const
    +     		+pure virtual
    +
    + +

    Forward transform coordinates.

    + +

    Implemented in ade::CoordMap.

    + +
    +
    + +

    ◆ reverse()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual iCoordMap* ade::iCoordMap::reverse (void ) const
    +     		+pure virtual
    +
    +

    Return coordinate transformation with its forward and backward transformations reversed

    + +

    Implemented in ade::CoordMap.

    + +
    +
    + +

    ◆ to_string()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual std::string ade::iCoordMap::to_string (void ) const
    +     		+pure virtual
    +
    + +

    Return string representation of coordinate transformer.

    + +

    Implemented in ade::CoordMap.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/structade_1_1i_coord_map.png b/docs/structade_1_1i_coord_map.png new file mode 100644 index 0000000000000000000000000000000000000000..d7dcae12c4acca2f19258be812b86818d947c067 GIT binary patch literal 531 zcmeAS@N?(olHy`uVBq!ia0vp^X+Rvn!3-qtD1CSUq$C1-LR|m<{|{uoc=NTi|Ih>= z3ycpOIKbL@M;^%KC<*clW&kPzfvcxNj2IXg7kRokhEy=Vom<#{Sb@WR{){ib>z`~6 z)wZbCo_?PszG6andflPKqnw&lNNPoulX@BgbA4{daSa#v6)hyqi(x$VQJ&WIc zBmdUUIc+sF+-9?VNSygJN`hg!7~6rBl`{mKDqGCuLb2C4S)Pe(`a{Ua=bf{Q2EDJdnZ zhJTH7xqDcqE&E*G$$P7lM3#xn+4ns@c3;&hL)JNrvTD_nch1e8@n)6#mDz_(vNc_g zPQRk-A-~1f_-F1nMYq|0J-#Mcv(~wmz7=zebyeS$H|ynOdE-~dXWuNDZFcO%kMEmr zuCK~Fw^NVx;@XJ2TZ)Z&e;UN*%<4Fyo_cGafs&FR*g>BS43GWTQOEGZR!l{k-{lQ3 P1{pkE{an^LB{Ts5EwJk{ literal 0 HcmV?d00001 diff --git a/docs/structade_1_1i_functor-members.html b/docs/structade_1_1i_functor-members.html new file mode 100644 index 000000000..24e1cd4fe --- /dev/null +++ b/docs/structade_1_1i_functor-members.html @@ -0,0 +1,91 @@ + + + + + + + +Tenncor: Member List + + + + + + + + + +
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    accept(iTraveler &visiter) overrideade::iFunctorinlinevirtual
    get_children(void) const =0ade::iFunctorpure virtual
    get_code(void) const =0ade::iFunctorpure virtual
    gradient(const iTensor *wrt)=0ade::iTensorpure virtual
    shape(void) const =0ade::iTensorpure virtual
    to_string(void) const =0ade::iTensorpure virtual
    ~iFunctor(void)=defaultade::iFunctorvirtual
    ~iTensor(void)=defaultade::iTensorvirtual
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    ade::iFunctor Struct Referenceabstract
    +
    +
    + +

    Interface of OPCODE-defined operation node. + More...

    + +

    #include <functor.hpp>

    +
    +Inheritance diagram for ade::iFunctor:
    +
    +
    + + +ade::iTensor +ade::Functor + +
    + + + + + + + + + + + + + + + + + + + + + + + + + +

    +Public Member Functions

    virtual ~iFunctor (void)=default
     
    void accept (iTraveler &visiter) override
     Implementation of iTensor. More...
     
    virtual OPCODE get_code (void) const =0
     Return OPCODE mapping to forward and gradient operators. More...
     
    virtual const ArgsT & get_children (void) const =0
     Return children nodes as a vector of raw pointers. More...
     
    - Public Member Functions inherited from ade::iTensor
    virtual ~iTensor (void)=default
     
    virtual const Shape & shape (void) const =0
     Return the shape held by this tensor. More...
     
    virtual Tensorptr gradient (const iTensor *wrt)=0
     Return the partial derivative of this with respect to input wrt. More...
     
    virtual std::string to_string (void) const =0
     Return the string representation of the tensor. More...
     
    +

    Detailed Description

    +

    Interface of OPCODE-defined operation node.

    +

    Constructor & Destructor Documentation

    + +

    ◆ ~iFunctor()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual ade::iFunctor::~iFunctor (void )
    +     		+virtualdefault
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ accept()

    + +
    +
    + + + + + +
    + + + + + + + + +
    void ade::iFunctor::accept (iTraveler & visiter)
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iTensor.

    + +

    Implements ade::iTensor.

    + +
    +
    + +

    ◆ get_children()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual const ArgsT& ade::iFunctor::get_children (void ) const
    +     		+pure virtual
    +
    + +

    Return children nodes as a vector of raw pointers.

    + +

    Implemented in ade::Functor.

    + +
    +
    + +

    ◆ get_code()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual OPCODE ade::iFunctor::get_code (void ) const
    +     		+pure virtual
    +
    + +

    Return OPCODE mapping to forward and gradient operators.

    + +

    Implemented in ade::Functor.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
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    + + diff --git a/docs/structade_1_1i_functor.png b/docs/structade_1_1i_functor.png new file mode 100644 index 0000000000000000000000000000000000000000..ab418b1c9d17f11582283d4efc18b7ebed8b271e GIT binary patch literal 596 zcmV-a0;~OrP)vTJkN^MxkN^Mxkifve1&Q1r00008bW%=J0RR90|NsC0)yh;d0005wNklHq)9*Qza8?X8#SCe5*N`hxJt0_kU{s?HabBxftI-^L0_zl4&1 zBsron?6Z+1JM!3)&3--ZKDTUlPDlF1*9F?i4x8Q6$~Ovaxr=$&ZcgN>2o=u`Z?SfB z*vBHc2;U)xt(DTM9 zs;bik0HfLfV7}I1w`~b`4R)ul;4Z?xY!U(+*uVxBfUUp=Hn9HyDi#2QYR8G4Uq4Kni zv$oaY?l6z-6~P7g4)uyKitPr>#JZ$=*t+!h+IA-)N7*DaEi2pBp|eldB*Zr%u&>67 zh)fp%jA{db`C5bBwk6y(*qyq9y9oQTNeFCU0~=TXwgMa2!2ScQs_LLNRn;*;NpiLV z`(><<^h?r@Bs=Qb$FL;%q)*tA(0)DcKE3lP*^hO49xvA=Z8X>`CIz{-7Hih(shrjp zp>nprcb2x^E88CXPy`p_o75EH57=(ZOsq?~!Pa%Z*Y;@=a-dB@-LkT09Xk7TO+tJV i0!z}Z*I`vvr|Snez9dQ+^^rIL0000 + + + + + + +Tenncor: Member List + + + + + + + + + +
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    ade::iLogger Member List
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    This is the complete list of members for ade::iLogger, including all inherited members.

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    error(std::string msg) const =0ade::iLoggerpure virtual
    fatal(std::string msg) const =0ade::iLoggerpure virtual
    warn(std::string msg) const =0ade::iLoggerpure virtual
    ~iLogger(void)=defaultade::iLoggervirtual
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    ade::iLogger Struct Referenceabstract
    +
    +
    + +

    Interface of logger used in ADE. + More...

    + +

    #include <log.hpp>

    +
    +Inheritance diagram for ade::iLogger:
    +
    +
    + + +ade::DefLogger +TestLogger + +
    + + + + + + + + + + + + + +

    +Public Member Functions

    virtual ~iLogger (void)=default
     
    virtual void warn (std::string msg) const =0
     Warn user of message regarding poor decisions. More...
     
    virtual void error (std::string msg) const =0
     Notify user of message regarding recoverable error. More...
     
    virtual void fatal (std::string msg) const =0
     Notify user of message regarding fatal error, then finish him. More...
     
    +

    Detailed Description

    +

    Interface of logger used in ADE.

    +

    Constructor & Destructor Documentation

    + +

    ◆ ~iLogger()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual ade::iLogger::~iLogger (void )
    +     		+virtualdefault
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ error()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual void ade::iLogger::error (std::string msg) const
    +     		+pure virtual
    +
    + +

    Notify user of message regarding recoverable error.

    + +

    Implemented in ade::DefLogger, and TestLogger.

    + +
    +
    + +

    ◆ fatal()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual void ade::iLogger::fatal (std::string msg) const
    +     		+pure virtual
    +
    + +

    Notify user of message regarding fatal error, then finish him.

    + +

    Implemented in ade::DefLogger, and TestLogger.

    + +
    +
    + +

    ◆ warn()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual void ade::iLogger::warn (std::string msg) const
    +     		+pure virtual
    +
    + +

    Warn user of message regarding poor decisions.

    + +

    Implemented in ade::DefLogger, and TestLogger.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/structade_1_1i_logger.png b/docs/structade_1_1i_logger.png new file mode 100644 index 0000000000000000000000000000000000000000..37edc41a1c4dfb965fac5a9ed535777af117c031 GIT binary patch literal 709 zcmV;$0y_PPP)vTJkN^MxkN^Mxkifve1&Q1r00008bW%=J0RR90|NsC0)yh;d00071NklyoP=5C+?iD&PN+H}Mij#mjJFLOioYXT1PJ!+?JQ3TT?9xfp=YaecTD0w^bh z09=F+KsnptmTw;SMPsX0sB~;!78<@AkKgBi`xP-Ow5(+7_BYiCbtCJ`Akcs<*-EBv zcMVMC`zbdwnJVOjGIduSem~{RAp5&>LPOokgw|ut?4ivS%8tLnJ+v*9+e5&tRB+1m zL!3^o=};KcYWI`_Y^mlu1aOF1Gk_ewBa}M|0T%qw3cWIKx0ByWIe-H~2%wx00&o#R z0Od4I(_9Qd#k2r-;%-81do!cE2|ax7Wpq2CIOPE9CWHWLCWHWLCWHWLCWHV!L)*6P z=K#2vkIr=n0XPXEfKoyTz)1)JloCP!PC^Kvln?@N5<&o_gb;v}+J#a|$wiw|N-jPd zEJ@O(SRqNeln|06Cm|$BrTiB{jU-!|=imIns*WUWu`ASdKJUI8fhT}lXz}oQ`8J_! zUvCi_rfHacJ8AvZ>uLY9(aJU+*YTXt)Khoq36K>UroHQKc4vg9r(;j6R;F=xeOhQ4 z(Gy@Z<+5WwDU^9XcHk76rQE3in<;0S*o`^`nbp~jH#GJMjg4kz=K>t0+-gg1%-Ze* z+Rc7?g>0U90-WDN>y&Wqp|X^7>>){7FhAw`2Gcn*_A%z)w9-?C>>Wa$W80i^T|bTh zN8cey@?)k{k}XF!z rlAMH)B$aYUp_Ed(79*5WO4srSsCg?Mvz1*k00000NkvXXu0mjfAmlg; literal 0 HcmV?d00001 diff --git a/docs/structade_1_1i_tensor-members.html b/docs/structade_1_1i_tensor-members.html new file mode 100644 index 000000000..091e667d4 --- /dev/null +++ b/docs/structade_1_1i_tensor-members.html @@ -0,0 +1,88 @@ + + + + + + + +Tenncor: Member List + + + + + + + + + +
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    accept(iTraveler &visiter)=0ade::iTensorpure virtual
    gradient(const iTensor *wrt)=0ade::iTensorpure virtual
    shape(void) const =0ade::iTensorpure virtual
    to_string(void) const =0ade::iTensorpure virtual
    ~iTensor(void)=defaultade::iTensorvirtual
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    ade::iTensor Struct Referenceabstract
    +
    +
    + +

    Interface of traversible and differentiable nodes with shape information. + More...

    + +

    #include <tensor.hpp>

    +
    +Inheritance diagram for ade::iTensor:
    +
    +
    + + +ade::iFunctor +ade::Tensor +ade::Functor + +
    + + + + + + + + + + + + + + + + +

    +Public Member Functions

    virtual ~iTensor (void)=default
     
    virtual void accept (iTraveler &visiter)=0
     Obtain concrete information on either leaf or functor implementations. More...
     
    virtual const Shape & shape (void) const =0
     Return the shape held by this tensor. More...
     
    virtual Tensorptr gradient (const iTensor *wrt)=0
     Return the partial derivative of this with respect to input wrt. More...
     
    virtual std::string to_string (void) const =0
     Return the string representation of the tensor. More...
     
    +

    Detailed Description

    +

    Interface of traversible and differentiable nodes with shape information.

    +

    Constructor & Destructor Documentation

    + +

    ◆ ~iTensor()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual ade::iTensor::~iTensor (void )
    +     		+virtualdefault
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ accept()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual void ade::iTensor::accept (iTraveler & visiter)
    +     		+pure virtual
    +
    + +

    Obtain concrete information on either leaf or functor implementations.

    + +

    Implemented in ade::Tensor, and ade::iFunctor.

    + +
    +
    + +

    ◆ gradient()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual Tensorptr ade::iTensor::gradient (const iTensor * wrt)
    +     		+pure virtual
    +
    + +

    Return the partial derivative of this with respect to input wrt.

    + +

    Implemented in ade::Tensor, and ade::Functor.

    + +
    +
    + +

    ◆ shape()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual const Shape& ade::iTensor::shape (void ) const
    +     		+pure virtual
    +
    + +

    Return the shape held by this tensor.

    + +

    Implemented in ade::Tensor, and ade::Functor.

    + +
    +
    + +

    ◆ to_string()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual std::string ade::iTensor::to_string (void ) const
    +     		+pure virtual
    +
    + +

    Return the string representation of the tensor.

    + +

    Implemented in ade::Functor, and ade::Tensor.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
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    visit(Tensor *leaf)=0ade::iTravelerpure virtual
    visit(iFunctor *func)=0ade::iTravelerpure virtual
    ~iTraveler(void)=defaultade::iTravelervirtual
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    ade::iTraveler Struct Referenceabstract
    +
    +
    + +

    Interface to travel through graph, treating Tensor and iFunctor differently. + More...

    + +

    #include <tensor.hpp>

    +
    +Inheritance diagram for ade::iTraveler:
    +
    +
    + + +ade::PathFinder +llo::Evaluator +llo::GraphStat + +
    + + + + + + + + + + +

    +Public Member Functions

    virtual ~iTraveler (void)=default
     
    virtual void visit (Tensor *leaf)=0
     Visit leaf node. More...
     
    virtual void visit (iFunctor *func)=0
     Visit functor node. More...
     
    +

    Detailed Description

    +

    Interface to travel through graph, treating Tensor and iFunctor differently.

    +

    Constructor & Destructor Documentation

    + +

    ◆ ~iTraveler()

    + +
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    + + + + + + + + +
    virtual ade::iTraveler::~iTraveler (void )
    +     		+virtualdefault
    +
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    +
    +

    Member Function Documentation

    + +

    ◆ visit() [1/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual void ade::iTraveler::visit (Tensor * leaf)
    +     		+pure virtual
    +
    + +

    Visit leaf node.

    + +

    Implemented in llo::Evaluator, ade::PathFinder, and llo::GraphStat.

    + +
    +
    + +

    ◆ visit() [2/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual void ade::iTraveler::visit (iFunctor * func)
    +     		+pure virtual
    +
    + +

    Visit functor node.

    + +

    Implemented in llo::Evaluator, llo::GraphStat, and ade::PathFinder.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
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    + + diff --git a/docs/structade_1_1i_traveler.png b/docs/structade_1_1i_traveler.png new file mode 100644 index 0000000000000000000000000000000000000000..cb9dd369bbbcdba107dee1d00575332680a3b37a GIT binary patch literal 907 zcmeAS@N?(olHy`uVBq!ia0y~yU~~qu12~w0i_>I z%~xyiBusk~^Lc{LsXo;O%DRX5FzuO~8aeGYs;h6`9-n0M%kNZZT~p;dbIUVIX0FdpS((&+ z3kj(!)+(FE*4!*F(@#3av9bT2&0_knpA+g1G-m<1j~~nGo!)eZ*CF6&QKI`;OL=dRz@S5#T}`?6b$Q^N#D2W{z0CVvePc6Z7Y7gfj|A;3h7koa|V<7 z+AqG@GkfKm<~Q0gPl~?J`&*ZBe^HLe;mbceJlp^3MQ?f;={&o$m~XZI)$~x~3u}%q z-+AZu#?yagF4gqiOWe%8|JenVaQV^;3M=j6N+V1oxtTXND_Na*>Q^#9X1`U=yDt`V zPNsT({aD^UJ<@dEk27^Y#M{&CODxxP-FzDNwk*PI&#grJvy$yQ@7+3dD`$7Q=f08~ zSD#w8o88$tQKtH$*j2k4{h7WquD|+}x!h+3%jU4pyp~DtWUq^O?rP0$pY-K^VSBcH zmrATKpXy3gnKoz7qEFun9tKPTCIin;f_$nc-7Ti5$n&>rE-f*?x+KW!W!^oRck(rE WP6D@CZ + + + + + + +Tenncor: Member List + + + + + + + + + +
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    ctx_llo::DataNode
    data(DTYPE dtype)llo::DataNodeinline
    DataNode(EvalCtx ctx, ade::Tensorptr tensor)llo::DataNodeinline
    derive(const ade::iTensor *wrt)llo::DataNodeinline
    derive(DataNode &wrt)llo::DataNodeinline
    get_src(ade::Tensorptr target) constllo::DataNodeinline
    source(void) constllo::DataNodeinline
    tensor_llo::DataNode
    ~DataNode(void)=defaultllo::DataNodevirtual
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    llo::DataNode Struct Reference
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    #include <eval.hpp>

    +
    +Inheritance diagram for llo::DataNode:
    +
    +
    + + +llo::PlaceHolder< T > + +
    + + + + + + + + + + + + + + + + + + + + + +

    +Public Member Functions

     DataNode (EvalCtx ctx, ade::Tensorptr tensor)
     
    virtual ~DataNode (void)=default
     
    GenericData data (DTYPE dtype)
     Return data according to accumulated context and output type. More...
     
    DataNode derive (const ade::iTensor *wrt)
     Return DataNode of gradient tree derived with respect to wrt tensor. More...
     
    DataNode derive (DataNode &wrt)
     Return DataNode of gradient tree derived with respect to wrt DataNode. More...
     
    std::shared_ptr< llo::iSource > source (void) const
     Return iSource mapped by tensor_ if found in ctx_, otherwise null. More...
     
    std::shared_ptr< llo::iSource > get_src (ade::Tensorptr target) const
     Return iSource mapped by target if found in ctx_, otherwise null. More...
     
    + + + + + + + +

    +Public Attributes

    EvalCtx ctx_
     Accumulated context. More...
     
    ade::Tensorptr tensor_
     Subgraph root. More...
     
    +

    Detailed Description

    +

    API Node encapsulating ade::Tensorptr and context Context maps tensors to data sources/meta-data evaluators in this subgraph

    +

    Constructor & Destructor Documentation

    + +

    ◆ DataNode()

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + +
    llo::DataNode::DataNode (EvalCtx ctx,
    ade::Tensorptr tensor 
    )
    +     		+inline
    +
    + +
    +
    + +

    ◆ ~DataNode()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual llo::DataNode::~DataNode (void )
    +     		+virtualdefault
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ data()

    + +
    +
    + + + + + +
    + + + + + + + + +
    GenericData llo::DataNode::data (DTYPE dtype)
    +     		+inline
    +
    + +

    Return data according to accumulated context and output type.

    + +
    +
    + +

    ◆ derive() [1/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    DataNode llo::DataNode::derive (const ade::iTensor * wrt)
    +     		+inline
    +
    + +

    Return DataNode of gradient tree derived with respect to wrt tensor.

    + +
    +
    + +

    ◆ derive() [2/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    DataNode llo::DataNode::derive (DataNode & wrt)
    +     		+inline
    +
    + +

    Return DataNode of gradient tree derived with respect to wrt DataNode.

    + +
    +
    + +

    ◆ get_src()

    + +
    +
    + + + + + +
    + + + + + + + + +
    std::shared_ptr<llo::iSource> llo::DataNode::get_src (ade::Tensorptr target) const
    +     		+inline
    +
    + +

    Return iSource mapped by target if found in ctx_, otherwise null.

    + +
    +
    + +

    ◆ source()

    + +
    +
    + + + + + +
    + + + + + + + + +
    std::shared_ptr<llo::iSource> llo::DataNode::source (void ) const
    +     		+inline
    +
    + +

    Return iSource mapped by tensor_ if found in ctx_, otherwise null.

    + +
    +
    +

    Member Data Documentation

    + +

    ◆ ctx_

    + +
    +
    + + + + +
    EvalCtx llo::DataNode::ctx_
    +
    + +

    Accumulated context.

    + +
    +
    + +

    ◆ tensor_

    + +
    +
    + + + + +
    ade::Tensorptr llo::DataNode::tensor_
    +
    + +

    Subgraph root.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/structllo_1_1_data_node.png b/docs/structllo_1_1_data_node.png new file mode 100644 index 0000000000000000000000000000000000000000..ae246e345e9688ec606b3e363c5de002d696ba03 GIT binary patch literal 534 zcmV+x0_pvUP)x~0000OP)t-s|Ns90 z008Lh^>vTJkN^MxkN^Mxkifve1&Q1r00008bW%=J0RR90|NsC0)yh;d0004{Nkl+gUqCdmD~NXLUWj_{w%^HXUnN$xzWf0A%mFky1yN$#VC$V5b1gGA z0@%?{AUY>+$CaSAZ3D2QD-d&qHoXo+Q^^2c7a%&v(T4yy)Rz!z1#aF}Rl&VAu~xs& z?)>+++>RyE{kH?)_Z1KU0XPeYr$MBY(qI8x)C*v=o&fQBJ%Hi~5O0R@6pw(2+Yt}| zUI7shfU|%I2*6oD1O(tLAOZq#77zgeIQuIQIp=&$ubgwfB(fxpRX_xUBxfr`noN>e z`h4aoN!n=k+idCWEiVD5kdi7pgxK+a4Y4=bLe!u&MDe@EAZ+~Z)XV!DljN*{D6wp? z@i$H9DRWGHYnr@Sw-3>+2|JkOrOOdJh&oJ3+fF9di9?90wYM2vKNBn7(v@V^jOO7< z2zLO!*~^4g)m@qRwk9^mf2Jm^&YS&w{Bxdvb~_|FJH8!~G)e&x5R#k)#M2;h&Uvu@ Y0jeh(`~B3ZO#lD@07*qoM6N<$f}>*U1^@s6 literal 0 HcmV?d00001 diff --git a/docs/structllo_1_1_eval_ctx-members.html b/docs/structllo_1_1_eval_ctx-members.html new file mode 100644 index 000000000..23cdf9d6b --- /dev/null +++ b/docs/structllo_1_1_eval_ctx-members.html @@ -0,0 +1,87 @@ + + + + + + + +Tenncor: Member List + + + + + + + + + +
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    EvalCtx(void)=defaultllo::EvalCtx
    EvalCtx(ade::iTensor *srckey, std::shared_ptr< iSource > &srcval)llo::EvalCtxinline
    EvalCtx(std::vector< const EvalCtx *> contexas)llo::EvalCtxinline
    srcs_llo::EvalCtx
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    llo::EvalCtx Struct Referencefinal
    +
    +
    + +

    Context used to associate ade nodes to llo nodes under a particular graph. + More...

    + +

    #include <eval.hpp>

    + + + + + + + + +

    +Public Member Functions

     EvalCtx (void)=default
     
     EvalCtx (ade::iTensor *srckey, std::shared_ptr< iSource > &srcval)
     
     EvalCtx (std::vector< const EvalCtx *> contexas)
     
    + + + + +

    +Public Attributes

    SourcePoolT srcs_
     List all ade-source mapping. More...
     
    +

    Detailed Description

    +

    Context used to associate ade nodes to llo nodes under a particular graph.

    +

    Constructor & Destructor Documentation

    + +

    ◆ EvalCtx() [1/3]

    + +
    +
    + + + + + +
    + + + + + + + + +
    llo::EvalCtx::EvalCtx (void )
    +     		+default
    +
    + +
    +
    + +

    ◆ EvalCtx() [2/3]

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + +
    llo::EvalCtx::EvalCtx (ade::iTensor * srckey,
    std::shared_ptr< iSource > & srcval 
    )
    +     		+inline
    +
    + +
    +
    + +

    ◆ EvalCtx() [3/3]

    + +
    +
    + + + + + +
    + + + + + + + + +
    llo::EvalCtx::EvalCtx (std::vector< const EvalCtx *> contexas)
    +     		+inline
    +
    + +
    +
    +

    Member Data Documentation

    + +

    ◆ srcs_

    + +
    +
    + + + + +
    SourcePoolT llo::EvalCtx::srcs_
    +
    + +

    List all ade-source mapping.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
    + +
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    ctx_llo::Evaluatorprivate
    dtype_llo::Evaluatorprivate
    Evaluator(const EvalCtx &ctx, DTYPE dtype)llo::Evaluatorinline
    out_llo::Evaluator
    visit(ade::Tensor *leaf) overridello::Evaluatorinlinevirtual
    visit(ade::iFunctor *func) overridello::Evaluatorinlinevirtual
    ~iTraveler(void)=defaultade::iTravelervirtual
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    +
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    #include <eval.hpp>

    +
    +Inheritance diagram for llo::Evaluator:
    +
    +
    + + +ade::iTraveler + +
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    +Public Member Functions

     Evaluator (const EvalCtx &ctx, DTYPE dtype)
     
    void visit (ade::Tensor *leaf) override
     Implementation of iTraveler. More...
     
    void visit (ade::iFunctor *func) override
     Implementation of iTraveler. More...
     
    - Public Member Functions inherited from ade::iTraveler
    virtual ~iTraveler (void)=default
     
    + + + + +

    +Public Attributes

    GenericData out_
     Output data evaluated upon visiting node. More...
     
    + + + + + + + +

    +Private Attributes

    const EvalCtx * ctx_
     Context used when evaluating node. More...
     
    DTYPE dtype_
     Output type when evaluating data. More...
     
    +

    Detailed Description

    +

    Visitor implementation to evaluate ade nodes according to ctx and dtype Given a global context containing ade-llo association maps, get data from llo::Sources when possible, otherwise treat native ade::Tensors as zeroes Additionally, Evaluator attempts to get meta-data from llo::FuncWrapper before checking native ade::Functor

    +

    Constructor & Destructor Documentation

    + +

    ◆ Evaluator()

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + +
    llo::Evaluator::Evaluator (const EvalCtx & ctx,
    DTYPE dtype 
    )
    +     		+inline
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ visit() [1/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    void llo::Evaluator::visit (ade::Tensor * leaf)
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iTraveler.

    + +

    Implements ade::iTraveler.

    + +
    +
    + +

    ◆ visit() [2/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    void llo::Evaluator::visit (ade::iFunctor * func)
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iTraveler.

    + +

    Implements ade::iTraveler.

    + +
    +
    +

    Member Data Documentation

    + +

    ◆ ctx_

    + +
    +
    + + + + + +
    + + + + +
    const EvalCtx* llo::Evaluator::ctx_
    +     		+private
    +
    + +

    Context used when evaluating node.

    + +
    +
    + +

    ◆ dtype_

    + +
    +
    + + + + + +
    + + + + +
    DTYPE llo::Evaluator::dtype_
    +     		+private
    +
    + +

    Output type when evaluating data.

    + +
    +
    + +

    ◆ out_

    + +
    +
    + + + + +
    GenericData llo::Evaluator::out_
    +
    + +

    Output data evaluated upon visiting node.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
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    #include <opmap.hpp>

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    static void exec (GenericData &out, DataArgsT &data)
     
    +

    Member Function Documentation

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    ◆ exec()

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    + + + + + +
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    static void llo::Executer< OP, T >::exec (GenericData & out,
    DataArgsT & data 
    )
    +     		+inlinestatic
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    #include <opmap.hpp>

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    static void exec (GenericData &out, DataArgsT &data)
     
    +

    Member Function Documentation

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    ◆ exec()

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    static void llo::Executer< ade::COPY, T >::exec (GenericData & out,
    DataArgsT & data 
    )
    +     		+inlinestatic
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    exec(GenericData &out, DataArgsT &data)llo::Executer< ade::RAND_BINO, T >inlinestatic
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    #include <opmap.hpp>

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    +Static Public Member Functions

    static void exec (GenericData &out, DataArgsT &data)
     
    +

    Member Function Documentation

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    ◆ exec()

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    static void llo::Executer< ade::RAND_BINO, T >::exec (GenericData & out,
    DataArgsT & data 
    )
    +     		+inlinestatic
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    convert_to(DTYPE dtype) constllo::GenericData
    data_llo::GenericData
    dtype_llo::GenericData
    GenericData(void)=defaultllo::GenericData
    GenericData(ade::Shape shape, DTYPE dtype)llo::GenericData
    shape_llo::GenericData
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    llo::GenericData Struct Reference
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    GenericData for holding data when passing up the tensor graph. + More...

    + +

    #include <data.hpp>

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    +Public Member Functions

     GenericData (void)=default
     
     GenericData (ade::Shape shape, DTYPE dtype)
     
    GenericData convert_to (DTYPE dtype) const
     Return data converted to specified input type. More...
     
    + + + + + + + + + + +

    +Public Attributes

    std::shared_ptr< char > data_
     Smartpointer to a block of untyped data. More...
     
    ade::Shape shape_
     Shape of data_. More...
     
    DTYPE dtype_ = BAD
     Data type of data_. More...
     
    +

    Detailed Description

    +

    GenericData for holding data when passing up the tensor graph.

    +

    Constructor & Destructor Documentation

    + +

    ◆ GenericData() [1/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    llo::GenericData::GenericData (void )
    +     		+default
    +
    + +
    +
    + +

    ◆ GenericData() [2/2]

    + +
    +
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    llo::GenericData::GenericData (ade::Shape shape,
    DTYPE dtype 
    )
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ convert_to()

    + +
    +
    + + + + + + + + +
    GenericData llo::GenericData::convert_to (DTYPE dtype) const
    +
    + +

    Return data converted to specified input type.

    + +
    +
    +

    Member Data Documentation

    + +

    ◆ data_

    + +
    +
    + + + + +
    std::shared_ptr<char> llo::GenericData::data_
    +
    + +

    Smartpointer to a block of untyped data.

    + +
    +
    + +

    ◆ dtype_

    + +
    +
    + + + + +
    DTYPE llo::GenericData::dtype_ = BAD
    +
    + +

    Data type of data_.

    + +
    +
    + +

    ◆ shape_

    + +
    +
    + + + + +
    ade::Shape llo::GenericData::shape_
    +
    + +

    Shape of data_.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
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    data_llo::GenericRef
    dtype_llo::GenericRef
    GenericRef(char *data, ade::Shape shape, DTYPE dtype)llo::GenericRefinline
    GenericRef(GenericData &generic)llo::GenericRefinline
    shape_llo::GenericRef
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    #include <data.hpp>

    + + + + + + +

    +Public Member Functions

     GenericRef (char *data, ade::Shape shape, DTYPE dtype)
     
     GenericRef (GenericData &generic)
     
    + + + + + + + + + + +

    +Public Attributes

    char * data_
     Raw pointer to a block of untyped data. More...
     
    ade::Shape shape_
     Shape of data_. More...
     
    DTYPE dtype_
     Data type of data_. More...
     
    +

    Detailed Description

    +

    GenericRef for holding data Ref uses raw pointer instead of shared, so it's memory unsafe

    +

    Constructor & Destructor Documentation

    + +

    ◆ GenericRef() [1/2]

    + +
    +
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    + + + + + + + + + + + + + + + + + + + + + + + + +
    llo::GenericRef::GenericRef (char * data,
    ade::Shape shape,
    DTYPE dtype 
    )
    +     		+inline
    +
    + +
    +
    + +

    ◆ GenericRef() [2/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    llo::GenericRef::GenericRef (GenericData & generic)
    +     		+inline
    +
    + +
    +
    +

    Member Data Documentation

    + +

    ◆ data_

    + +
    +
    + + + + +
    char* llo::GenericRef::data_
    +
    + +

    Raw pointer to a block of untyped data.

    + +
    +
    + +

    ◆ dtype_

    + +
    +
    + + + + +
    DTYPE llo::GenericRef::dtype_
    +
    + +

    Data type of data_.

    + +
    +
    + +

    ◆ shape_

    + +
    +
    + + + + +
    ade::Shape llo::GenericRef::shape_
    +
    + +

    Shape of data_.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
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    funcs_llo::GraphStat
    global_ctx_llo::GraphStat
    graphsize_llo::GraphStat
    GraphStat(std::vector< llo::DataNode > roots)llo::GraphStatinline
    leaves_llo::GraphStat
    visit(ade::Tensor *leaf) overridello::GraphStatinlinevirtual
    visit(ade::iFunctor *func) overridello::GraphStatinlinevirtual
    ~iTraveler(void)=defaultade::iTravelervirtual
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    llo::GraphStat Struct Referencefinal
    +
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    + +

    #include <traveler.hpp>

    +
    +Inheritance diagram for llo::GraphStat:
    +
    +
    + + +ade::iTraveler + +
    + + + + + + + + + + + + + +

    +Public Member Functions

     GraphStat (std::vector< llo::DataNode > roots)
     
    void visit (ade::Tensor *leaf) override
     Implemenation of iTraveler. More...
     
    void visit (ade::iFunctor *func) override
     Implemenation of iTraveler. More...
     
    - Public Member Functions inherited from ade::iTraveler
    virtual ~iTraveler (void)=default
     
    + + + + + + + + + + + +

    +Public Attributes

    llo::EvalCtx global_ctx_
     Collected context of all root DataNodes. More...
     
    std::vector< llo::iSource * > leaves_
     Vector of leaves visited to maintain order. More...
     
    std::list< ade::iFunctor * > funcs_
     
    std::unordered_map< ade::iTensor *, size_t > graphsize_
     
    +

    Detailed Description

    +

    Traveler implementation that given a vector of root DataNodes:

      +
    • gathers a list of all functors under the roots sorted by each functor's subtree's maximum depth in ascending order
      • +
    • a map of each functor's subtree's maximum depth
      • +
    • gathers the context of all roots
      • +
    • ensures all tensor leaves visited have a source
      • +
    +

    Constructor & Destructor Documentation

    + +

    ◆ GraphStat()

    + +
    +
    + + + + + +
    + + + + + + + + +
    llo::GraphStat::GraphStat (std::vector< llo::DataNode > roots)
    +     		+inline
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ visit() [1/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    void llo::GraphStat::visit (ade::Tensor * leaf)
    +     		+inlineoverridevirtual
    +
    + +

    Implemenation of iTraveler.

    + +

    Implements ade::iTraveler.

    + +
    +
    + +

    ◆ visit() [2/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    void llo::GraphStat::visit (ade::iFunctor * func)
    +     		+inlineoverridevirtual
    +
    + +

    Implemenation of iTraveler.

    + +

    Implements ade::iTraveler.

    + +
    +
    +

    Member Data Documentation

    + +

    ◆ funcs_

    + +
    +
    + + + + +
    std::list<ade::iFunctor*> llo::GraphStat::funcs_
    +
    + +
    +
    + +

    ◆ global_ctx_

    + +
    +
    + + + + +
    llo::EvalCtx llo::GraphStat::global_ctx_
    +
    + +

    Collected context of all root DataNodes.

    + +
    +
    + +

    ◆ graphsize_

    + +
    +
    + + + + +
    std::unordered_map<ade::iTensor*,size_t> llo::GraphStat::graphsize_
    +
    + +
    +
    + +

    ◆ leaves_

    + +
    +
    + + + + +
    std::vector<llo::iSource*> llo::GraphStat::leaves_
    +
    + +

    Vector of leaves visited to maintain order.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
    + +
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    + + diff --git a/docs/structllo_1_1_graph_stat.png b/docs/structllo_1_1_graph_stat.png new file mode 100644 index 0000000000000000000000000000000000000000..81da31c3cb59ac31bc7b8a9a414d66a29389f23d GIT binary patch literal 469 zcmeAS@N?(olHy`uVBq!ia0vp^Q9vBP!3-qVy`2;Wq$C1-LR|m<{|{uoc=NTi|Ih>= z3ycpOIKbL@M;^%KC<*clW&kPzfvcxNj2IXgQ#@T9Ln;{G&V9J9*?^;!-{j+8`JYxx z-yRIRyt_s9bc98j*pDR-zDX~gBBU%5dX+;pD)gpZk637`@YK(XS5+Di5WR?T11j~GDau8~O@N^z04P<pH2p9(pp00i_>zopr0K2%<`Tzg` literal 0 HcmV?d00001 diff --git a/docs/structllo_1_1_place_holder-members.html b/docs/structllo_1_1_place_holder-members.html new file mode 100644 index 000000000..a9afd9907 --- /dev/null +++ b/docs/structllo_1_1_place_holder-members.html @@ -0,0 +1,98 @@ + + + + + + + +Tenncor: Member List + + + + + + + + + +
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    ctx_llo::DataNode
    data(DTYPE dtype)llo::DataNodeinline
    DataNode(EvalCtx ctx, ade::Tensorptr tensor)llo::DataNodeinline
    derive(const ade::iTensor *wrt)llo::DataNodeinline
    derive(DataNode &wrt)llo::DataNodeinline
    get_src(ade::Tensorptr target) constllo::DataNodeinline
    operator=(const PlaceHolder &)=defaultllo::PlaceHolder< T >
    operator=(PlaceHolder &&)=defaultllo::PlaceHolder< T >
    operator=(std::vector< T > data)llo::PlaceHolder< T >inline
    PlaceHolder(ade::Shape shape)llo::PlaceHolder< T >inline
    PlaceHolder(const PlaceHolder &)=defaultllo::PlaceHolder< T >
    PlaceHolder(PlaceHolder &&)=defaultllo::PlaceHolder< T >
    source(void) constllo::DataNodeinline
    tensor_llo::DataNode
    ~DataNode(void)=defaultllo::DataNodevirtual
    + +
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    llo::PlaceHolder< T > Struct Template Reference
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    + +

    DataNode of a leaf that can be assignable by data vectors. + More...

    + +

    #include <node.hpp>

    +
    +Inheritance diagram for llo::PlaceHolder< T >:
    +
    +
    + + +llo::DataNode + +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

    +Public Member Functions

     PlaceHolder (ade::Shape shape)
     
     PlaceHolder (const PlaceHolder &)=default
     
     PlaceHolder (PlaceHolder &&)=default
     
    PlaceHolder & operator= (const PlaceHolder &)=default
     
    PlaceHolder & operator= (PlaceHolder &&)=default
     
    PlaceHolder & operator= (std::vector< T > data)
     Assign vectorized data to source. More...
     
    - Public Member Functions inherited from llo::DataNode
     DataNode (EvalCtx ctx, ade::Tensorptr tensor)
     
    virtual ~DataNode (void)=default
     
    GenericData data (DTYPE dtype)
     Return data according to accumulated context and output type. More...
     
    DataNode derive (const ade::iTensor *wrt)
     Return DataNode of gradient tree derived with respect to wrt tensor. More...
     
    DataNode derive (DataNode &wrt)
     Return DataNode of gradient tree derived with respect to wrt DataNode. More...
     
    std::shared_ptr< llo::iSource > source (void) const
     Return iSource mapped by tensor_ if found in ctx_, otherwise null. More...
     
    std::shared_ptr< llo::iSource > get_src (ade::Tensorptr target) const
     Return iSource mapped by target if found in ctx_, otherwise null. More...
     
    + + + + + + + + +

    +Additional Inherited Members

    - Public Attributes inherited from llo::DataNode
    EvalCtx ctx_
     Accumulated context. More...
     
    ade::Tensorptr tensor_
     Subgraph root. More...
     
    +

    Detailed Description

    +

    template<typename T>
    +struct llo::PlaceHolder< T >

    + +

    DataNode of a leaf that can be assignable by data vectors.

    +

    Constructor & Destructor Documentation

    + +

    ◆ PlaceHolder() [1/3]

    + +
    +
    +
    +template<typename T >
    + + + + + +
    + + + + + + + + +
    llo::PlaceHolder< T >::PlaceHolder (ade::Shape shape)
    +     		+inline
    +
    + +
    +
    + +

    ◆ PlaceHolder() [2/3]

    + +
    +
    +
    +template<typename T >
    + + + + + +
    + + + + + + + + +
    llo::PlaceHolder< T >::PlaceHolder (const PlaceHolder< T > & )
    +     		+default
    +
    + +
    +
    + +

    ◆ PlaceHolder() [3/3]

    + +
    +
    +
    +template<typename T >
    + + + + + +
    + + + + + + + + +
    llo::PlaceHolder< T >::PlaceHolder (PlaceHolder< T > && )
    +     		+default
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ operator=() [1/3]

    + +
    +
    +
    +template<typename T >
    + + + + + +
    + + + + + + + + +
    PlaceHolder& llo::PlaceHolder< T >::operator= (const PlaceHolder< T > & )
    +     		+default
    +
    + +
    +
    + +

    ◆ operator=() [2/3]

    + +
    +
    +
    +template<typename T >
    + + + + + +
    + + + + + + + + +
    PlaceHolder& llo::PlaceHolder< T >::operator= (PlaceHolder< T > && )
    +     		+default
    +
    + +
    +
    + +

    ◆ operator=() [3/3]

    + +
    +
    +
    +template<typename T >
    + + + + + +
    + + + + + + + + +
    PlaceHolder& llo::PlaceHolder< T >::operator= (std::vector< T > data)
    +     		+inline
    +
    + +

    Assign vectorized data to source.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
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    + + diff --git a/docs/structllo_1_1_place_holder.png b/docs/structllo_1_1_place_holder.png new file mode 100644 index 0000000000000000000000000000000000000000..de5270cc4c5def3e09807045d36bb48243af0455 GIT binary patch literal 529 zcmV+s0`C2ZP)x~0000OP)t-s|Ns90 z008Lh^>vTJkN^MxkN^Mxkifve1&Q1r00008bW%=J0RR90|NsC0)yh;d0004?Nklsy5cS?|zmKRDQ*18R@l)B(mZXhdf>_qJ#x^=T z3zZ&gNz#tqf#}@4U00H7+d4_w(I*gdhBmbhM3c#q;{Dy8y)%ASQZRc(J)R=C|n-g|1<)h__9Ynp%a%?*%v349nRNlU3bp4Z9@k$jiYg%QAmmu5) zc(->FmQ~+6iL*J;x&G%lVR_!{XZct6_Uizg9ls8MQ3{BF0GtKH)gV$zX|VnP1vwmQ TfdpU000000NkvXXu0mjfr}*TD literal 0 HcmV?d00001 diff --git a/docs/structllo_1_1_source-members.html b/docs/structllo_1_1_source-members.html new file mode 100644 index 000000000..799b249dd --- /dev/null +++ b/docs/structllo_1_1_source-members.html @@ -0,0 +1,95 @@ + + + + + + + +Tenncor: Member List + + + + + + + + + +
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    This is the complete list of members for llo::Source< T >, including all inherited members.

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    copy(const llo::Source< T > &other)llo::Source< T >inlinestatic
    data(DTYPE dtype) const overridello::Source< T >inlinevirtual
    data_llo::Source< T >private
    get(ade::Shape shape, std::vector< T > data)llo::Source< T >inlinestatic
    get_scalar(T value)llo::Source< T >inlinestatic
    inner(void) const overridello::Source< T >inlinevirtual
    native_type(void) const overridello::Source< T >inlinevirtual
    reassign(const GenericRef &data) overridello::Source< T >inlinevirtual
    Source(std::shared_ptr< ade::Tensor > &tensor, std::vector< T > &data)llo::Source< T >inlineprivate
    Source(const Source< T > &other)llo::Source< T >inlineprivate
    tensor_llo::Source< T >private
    ~iSource(void)=defaultllo::iSourcevirtual
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    llo::Source< T > Struct Template Referencefinal
    +
    +
    + +

    Leaf evaluable holding tensor data. + More...

    + +

    #include <node.hpp>

    +
    +Inheritance diagram for llo::Source< T >:
    +
    +
    + + +llo::iSource + +
    + + + + + + + + + + + + + + + + + +

    +Public Member Functions

    GenericData data (DTYPE dtype) const override
     Implementation of iSource. More...
     
    DTYPE native_type (void) const override
     Implementation of iSource. More...
     
    void reassign (const GenericRef &data) override
     Implementation of iSource. More...
     
    const std::shared_ptr< ade::Tensor > & inner (void) const override
     Implementation of iSource. More...
     
    - Public Member Functions inherited from llo::iSource
    virtual ~iSource (void)=default
     
    + + + + + + + + + +

    +Static Public Member Functions

    static DataNode get (ade::Shape shape, std::vector< T > data)
     Return a Source of input shape and containing input data. More...
     
    static DataNode get_scalar (T value)
     Return a source instance with a scalar as tensor data. More...
     
    static DataNode copy (const llo::Source< T > &other)
     
    + + + + + +

    +Private Member Functions

     Source (std::shared_ptr< ade::Tensor > &tensor, std::vector< T > &data)
     
     Source (const Source< T > &other)
     
    + + + + + + + +

    +Private Attributes

    std::shared_ptr< ade::Tensor > tensor_
     Tensor node of subgraph. More...
     
    std::vector< T > data_
     Tensor data. More...
     
    +

    Detailed Description

    +

    template<typename T>
    +struct llo::Source< T >

    + +

    Leaf evaluable holding tensor data.

    +

    Constructor & Destructor Documentation

    + +

    ◆ Source() [1/2]

    + +
    +
    +
    +template<typename T>
    + + + + + +
    + + + + + + + + + + + + + + + + + + +
    llo::Source< T >::Source (std::shared_ptr< ade::Tensor > & tensor,
    std::vector< T > & data 
    )
    +     		+inlineprivate
    +
    + +
    +
    + +

    ◆ Source() [2/2]

    + +
    +
    +
    +template<typename T>
    + + + + + +
    + + + + + + + + +
    llo::Source< T >::Source (const Source< T > & other)
    +     		+inlineprivate
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ copy()

    + +
    +
    +
    +template<typename T>
    + + + + + +
    + + + + + + + + +
    static DataNode llo::Source< T >::copy (const llo::Source< T > & other)
    +     		+inlinestatic
    +
    + +
    +
    + +

    ◆ data()

    + +
    +
    +
    +template<typename T>
    + + + + + +
    + + + + + + + + +
    GenericData llo::Source< T >::data (DTYPE dtype) const
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iSource.

    + +

    Implements llo::iSource.

    + +
    +
    + +

    ◆ get()

    + +
    +
    +
    +template<typename T>
    + + + + + +
    + + + + + + + + + + + + + + + + + + +
    static DataNode llo::Source< T >::get (ade::Shape shape,
    std::vector< T > data 
    )
    +     		+inlinestatic
    +
    + +

    Return a Source of input shape and containing input data.

    + +
    +
    + +

    ◆ get_scalar()

    + +
    +
    +
    +template<typename T>
    + + + + + +
    + + + + + + + + +
    static DataNode llo::Source< T >::get_scalar (T value)
    +     		+inlinestatic
    +
    + +

    Return a source instance with a scalar as tensor data.

    + +
    +
    + +

    ◆ inner()

    + +
    +
    +
    +template<typename T>
    + + + + + +
    + + + + + + + + +
    const std::shared_ptr<ade::Tensor>& llo::Source< T >::inner (void ) const
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iSource.

    + +

    Implements llo::iSource.

    + +
    +
    + +

    ◆ native_type()

    + +
    +
    +
    +template<typename T>
    + + + + + +
    + + + + + + + + +
    DTYPE llo::Source< T >::native_type (void ) const
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iSource.

    + +

    Implements llo::iSource.

    + +
    +
    + +

    ◆ reassign()

    + +
    +
    +
    +template<typename T>
    + + + + + +
    + + + + + + + + +
    void llo::Source< T >::reassign (const GenericRef & data)
    +     		+inlineoverridevirtual
    +
    + +

    Implementation of iSource.

    + +

    Implements llo::iSource.

    + +
    +
    +

    Member Data Documentation

    + +

    ◆ data_

    + +
    +
    +
    +template<typename T>
    + + + + + +
    + + + + +
    std::vector<T> llo::Source< T >::data_
    +     		+private
    +
    + +

    Tensor data.

    + +
    +
    + +

    ◆ tensor_

    + +
    +
    +
    +template<typename T>
    + + + + + +
    + + + + +
    std::shared_ptr<ade::Tensor> llo::Source< T >::tensor_
    +     		+private
    +
    + +

    Tensor node of subgraph.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/structllo_1_1_source.png b/docs/structllo_1_1_source.png new file mode 100644 index 0000000000000000000000000000000000000000..88a2e6b6410ac1f0c5eae8991a571a7df7377a70 GIT binary patch literal 463 zcmeAS@N?(olHy`uVBq!ia0vp^=|CL7!3-pgAI!c7q$C1-LR|m<{|{uoc=NTi|Ih>= z3ycpOIKbL@M;^%KC<*clW&kPzfvcxNj2IXg<2+p)Ln;{G&VAe0WFX+`pD%p>|3q=k zFTxiSm(I>PR&a&SnZMcmpV~1Ab%!ZSZWs2e-29pBAHnbWv|`=iPm@%v=U1Cu4UC<1 zui)Lv{QY6es~%SBZQUpJd{XBU6iG)iZ^fYS^H#s_70m=n@>rT>)Z$@XKgOZOMQ zAd^0?G*|xnhpv0U_r3p3>uOEUe`UR|w4v|Z=C@Oq{ybEax3+BQom*A29!*^S_Koe* z + + + + + + +Tenncor: Member List + + + + + + + + + +
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    This is the complete list of members for llo::VecRef< T >, including all inherited members.

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    datallo::VecRef< T >
    mapperllo::VecRef< T >
    shapello::VecRef< T >
    + +
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    llo::VecRef< T > Struct Template Reference
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    #include <operator.hpp>

    + + + + + + + + +

    +Public Attributes

    ade::CoordPtrT mapper
     
    const T * data
     
    ade::Shape shape
     
    +

    Detailed Description

    +

    template<typename T>
    +struct llo::VecRef< T >

    + +

    Tensor data wrapper using raw pointer and data size Avoid using std constainers in case of unintentional deep copies

    +

    Member Data Documentation

    + +

    ◆ data

    + +
    +
    +
    +template<typename T>
    + + + + +
    const T* llo::VecRef< T >::data
    +
    + +
    +
    + +

    ◆ mapper

    + +
    +
    +
    +template<typename T>
    + + + + +
    ade::CoordPtrT llo::VecRef< T >::mapper
    +
    + +
    +
    + +

    ◆ shape

    + +
    +
    +
    +template<typename T>
    + + + + +
    ade::Shape llo::VecRef< T >::shape
    +
    + +
    +
    +
    The documentation for this struct was generated from the following file: +
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    data(DTYPE dtype) const =0llo::iSourcepure virtual
    inner(void) const =0llo::iSourcepure virtual
    native_type(void) const =0llo::iSourcepure virtual
    reassign(const GenericRef &data)=0llo::iSourcepure virtual
    ~iSource(void)=defaultllo::iSourcevirtual
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    llo::iSource Struct Referenceabstract
    +
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    + +

    Interface for leaves with tensor data. + More...

    + +

    #include <eval.hpp>

    +
    +Inheritance diagram for llo::iSource:
    +
    +
    + + +llo::Source< T > + +
    + + + + + + + + + + + + + + + + +

    +Public Member Functions

    virtual ~iSource (void)=default
     
    virtual GenericData data (DTYPE dtype) const =0
     Return data converted to input type. More...
     
    virtual DTYPE native_type (void) const =0
     Return the type of data stored. More...
     
    virtual void reassign (const GenericRef &data)=0
     Assign new data values. More...
     
    virtual const std::shared_ptr< ade::Tensor > & inner (void) const =0
     Return internal tensor referencing this. More...
     
    +

    Detailed Description

    +

    Interface for leaves with tensor data.

    +

    Constructor & Destructor Documentation

    + +

    ◆ ~iSource()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual llo::iSource::~iSource (void )
    +     		+virtualdefault
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ data()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual GenericData llo::iSource::data (DTYPE dtype) const
    +     		+pure virtual
    +
    + +

    Return data converted to input type.

    + +

    Implemented in llo::Source< T >.

    + +
    +
    + +

    ◆ inner()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual const std::shared_ptr<ade::Tensor>& llo::iSource::inner (void ) const
    +     		+pure virtual
    +
    + +

    Return internal tensor referencing this.

    + +

    Implemented in llo::Source< T >.

    + +
    +
    + +

    ◆ native_type()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual DTYPE llo::iSource::native_type (void ) const
    +     		+pure virtual
    +
    + +

    Return the type of data stored.

    + +

    Implemented in llo::Source< T >.

    + +
    +
    + +

    ◆ reassign()

    + +
    +
    + + + + + +
    + + + + + + + + +
    virtual void llo::iSource::reassign (const GenericRef & data)
    +     		+pure virtual
    +
    + +

    Assign new data values.

    + +

    Implemented in llo::Source< T >.

    + +
    +
    +
    The documentation for this struct was generated from the following file: +
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    tensor.hpp File Reference
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    #include <memory>
    +#include "ade/log/log.hpp"
    +#include "ade/shape.hpp"
    +
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    struct  ade::iTraveler
     Interface to travel through graph, treating Tensor and iFunctor differently. More...
     
    struct  ade::iTensor
     Interface of traversible and differentiable nodes with shape information. More...
     
    struct  ade::Tensorptr
     Smart pointer to iTensor ensuring non-null references. More...
     
    struct  ade::Tensor
     Leaf of the graph commonly representing the variable in an equation. More...
     
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     ade
     
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    Tensorptr ade::shaped_one (Shape shape)
     Return a Tensor::SYMBOLIC_ONE extended to input shape. More...
     
    Tensorptr ade::shaped_zero (Shape shape)
     Return a Tensor::SYMBOLIC_ZERO extended to input shape. More...
     
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    1 
    9 #include <memory>
    10 
    11 #include "ade/log/log.hpp"
    12 #include "ade/shape.hpp"
    13 
    14 #ifndef ADE_TENSOR_HPP
    15 #define ADE_TENSOR_HPP
    16 
    17 namespace ade
    18 {
    19 
    20 struct Tensorptr;
    21 
    22 struct Tensor;
    23 
    24 struct iFunctor;
    25 
    27 struct iTraveler
    28 {
    29  virtual ~iTraveler (void) = default;
    30 
    32  virtual void visit (Tensor* leaf) = 0;
    33 
    35  virtual void visit (iFunctor* func) = 0;
    36 };
    37 
    39 struct iTensor
    40 {
    41  virtual ~iTensor (void) = default;
    42 
    44  virtual void accept (iTraveler& visiter) = 0;
    45 
    47  virtual const Shape& shape (void) const = 0;
    48 
    50  virtual Tensorptr gradient (const iTensor* wrt) = 0;
    51 
    53  virtual std::string to_string (void) const = 0;
    54 };
    55 
    57 struct Tensorptr
    58 {
    59  Tensorptr (iTensor& tens) :
    60  ptr_(&tens) {}
    61 
    62  Tensorptr (iTensor* tens) :
    63  ptr_(tens)
    64  {
    65  if (nullptr == tens)
    66  {
    67  fatal("cannot create nodeptr with nullptr");
    68  }
    69  }
    70 
    71  Tensorptr (std::shared_ptr<iTensor> tens) :
    72  ptr_(tens)
    73  {
    74  if (nullptr == tens)
    75  {
    76  fatal("cannot create nodeptr with nullptr");
    77  }
    78  }
    79 
    80  virtual ~Tensorptr (void) = default;
    81 
    82  iTensor* operator -> (void)
    83  {
    84  return ptr_.get();
    85  }
    86 
    87  const iTensor* operator -> (void) const
    88  {
    89  return ptr_.get();
    90  }
    91 
    93  iTensor* get (void) const
    94  {
    95  return ptr_.get();
    96  }
    97 
    99  std::weak_ptr<iTensor> ref (void) const
    100  {
    101  return ptr_;
    102  }
    103 
    104 protected:
    106  std::shared_ptr<iTensor> ptr_;
    107 };
    108 
    110 Tensorptr shaped_one (Shape shape);
    111 
    113 Tensorptr shaped_zero (Shape shape);
    114 
    116 struct Tensor final : public iTensor
    117 {
    119  static Tensorptr SYMBOLIC_ONE;
    120 
    122  static Tensorptr SYMBOLIC_ZERO;
    123 
    125  static Tensor* get (Shape shape)
    126  {
    127  return new Tensor(shape);
    128  }
    129 
    131  void accept (iTraveler& visiter) override
    132  {
    133  visiter.visit(this);
    134  }
    135 
    137  const Shape& shape (void) const override
    138  {
    139  return shape_;
    140  }
    141 
    143  Tensorptr gradient (const iTensor* wrt) override
    144  {
    145  if (this == wrt)
    146  {
    147  return shaped_one(shape_);
    148  }
    149  return shaped_zero(wrt->shape());
    150  }
    151 
    153  std::string to_string (void) const override
    154  {
    155  return shape_.to_string();
    156  }
    157 
    158 private:
    159  Tensor (Shape shape) : shape_(shape) {}
    160 
    162  Shape shape_;
    163 };
    164 
    165 }
    166 
    167 #endif // ADE_TENSOR_HPP
    ade::iFunctor
    Interface of OPCODE-defined operation node.
    Definition: functor.hpp:24
    +
    ade::iTensor::gradient
    virtual Tensorptr gradient(const iTensor *wrt)=0
    Return the partial derivative of this with respect to input wrt.
    +
    ade::Tensor::accept
    void accept(iTraveler &visiter) override
    Implementation of iTensor.
    Definition: tensor.hpp:131
    +
    ade::Tensorptr
    Smart pointer to iTensor ensuring non-null references.
    Definition: tensor.hpp:57
    +
    ade::iTensor::shape
    virtual const Shape & shape(void) const =0
    Return the shape held by this tensor.
    +
    ade::iTraveler::visit
    virtual void visit(Tensor *leaf)=0
    Visit leaf node.
    +
    ade::Shape::to_string
    std::string to_string(void) const
    Return string representation of shape.
    Definition: shape.hpp:138
    +
    ade::Tensorptr::ref
    std::weak_ptr< iTensor > ref(void) const
    Return the weakptr reference.
    Definition: tensor.hpp:99
    +
    ade::Tensorptr::~Tensorptr
    virtual ~Tensorptr(void)=default
    +
    ade::Tensor
    Leaf of the graph commonly representing the variable in an equation.
    Definition: tensor.hpp:116
    +
    ade::shaped_one
    Tensorptr shaped_one(Shape shape)
    Return a Tensor::SYMBOLIC_ONE extended to input shape.
    +
    ade::iTraveler::~iTraveler
    virtual ~iTraveler(void)=default
    +
    ade::Tensorptr::operator->
    iTensor * operator->(void)
    Definition: tensor.hpp:82
    +
    ade::iTensor::to_string
    virtual std::string to_string(void) const =0
    Return the string representation of the tensor.
    +
    ade::Tensor::gradient
    Tensorptr gradient(const iTensor *wrt) override
    Implementation of iTensor.
    Definition: tensor.hpp:143
    +
    ade::iTensor::accept
    virtual void accept(iTraveler &visiter)=0
    Obtain concrete information on either leaf or functor implementations.
    +
    ade::Tensorptr::Tensorptr
    Tensorptr(iTensor &tens)
    Definition: tensor.hpp:59
    +
    ade::Tensorptr::ptr_
    std::shared_ptr< iTensor > ptr_
    Strong reference to iTensor.
    Definition: tensor.hpp:106
    + +
    ade
    Definition: coord.hpp:18
    +
    ade::Tensor::to_string
    std::string to_string(void) const override
    Implementation of iTensor.
    Definition: tensor.hpp:153
    +
    ade::iTraveler
    Interface to travel through graph, treating Tensor and iFunctor differently.
    Definition: tensor.hpp:27
    +
    ade::iTensor
    Interface of traversible and differentiable nodes with shape information.
    Definition: tensor.hpp:39
    +
    ade::fatal
    void fatal(std::string msg)
    Fatal using global logger.
    +
    ade::Tensorptr::Tensorptr
    Tensorptr(iTensor *tens)
    Definition: tensor.hpp:62
    +
    ade::Tensor::Tensor
    Tensor(Shape shape)
    Definition: tensor.hpp:159
    +
    ade::Shape
    Definition: shape.hpp:51
    +
    ade::Tensor::SYMBOLIC_ZERO
    static Tensorptr SYMBOLIC_ZERO
    Represent a scalar containing value zero.
    Definition: tensor.hpp:122
    +
    ade::Tensorptr::Tensorptr
    Tensorptr(std::shared_ptr< iTensor > tens)
    Definition: tensor.hpp:71
    +
    ade::Tensor::SYMBOLIC_ONE
    static Tensorptr SYMBOLIC_ONE
    Represent a scalar containing value one.
    Definition: tensor.hpp:119
    + +
    ade::Tensor::shape_
    Shape shape_
    Shape info of the tensor instance.
    Definition: tensor.hpp:162
    +
    ade::shaped_zero
    Tensorptr shaped_zero(Shape shape)
    Return a Tensor::SYMBOLIC_ZERO extended to input shape.
    +
    ade::iTensor::~iTensor
    virtual ~iTensor(void)=default
    +
    ade::Tensor::shape
    const Shape & shape(void) const override
    Implementation of iTensor.
    Definition: tensor.hpp:137
    +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/test__api_8cpp.html b/docs/test__api_8cpp.html new file mode 100644 index 000000000..e7144f925 --- /dev/null +++ b/docs/test__api_8cpp.html @@ -0,0 +1,1375 @@ + + + + + + + +Tenncor: llo/test/dynamic/test_api.cpp File Reference + + + + + + + + + +
    +
    + + + + + + +
    +
    Tenncor +
    +
    +
    + + + + + + + + +
    +
    + + +
    + +
    + + +
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    +
    +Classes | +Typedefs | +Functions | +Variables
    +
    +
    test_api.cpp File Reference
    +
    +
    +
    #include "gtest/gtest.h"
    +#include "testutil/common.hpp"
    +#include "retroc/rand.hpp"
    +#include "llo/api.hpp"
    +
    + + + +

    +Classes

    struct  API
     
    + + + + + + + + + + + + + + + +

    +Typedefs

    using UnaryDblF = std::function< double(double)>
     
    using UnaryOpF = std::function< llo::DataNode(llo::DataNode &)>
     
    using BinaryOpF = std::function< llo::DataNode(llo::DataNode &, llo::DataNode &)>
     
    template<typename T >
    using BinaryFwdF = std::function< T(T, T)>
     
    template<typename T >
    using BinaryBwdF = std::function< T(T, T, T, T)>
     
    using MatVecT = std::vector< std::vector< int32_t > >
     
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

    +Functions

    MatVecT create_2d (llo::GenericData &data)
     
    bool freivald (MatVecT a, MatVecT b, MatVecT c)
     
    static void unary_generic (simple::SessionT &sess, retro::Range< double > range, UnaryOpF op, std::function< void(llo::GenericData &, ade::Shape &, std::vector< double > &)> verify, std::function< void(double *, std::vector< double > &)> bwverify)
     
    static void unary_elementary (simple::SessionT &sess, retro::Range< double > range, UnaryOpF op, UnaryDblF fwd, UnaryDblF bwd, bool save_grad=true)
     
    static void binary_elementary (simple::SessionT &sess, retro::Range< double > range, BinaryOpF op, BinaryFwdF< double > fwd, BinaryBwdF< double > bwd)
     
    static void binary_elementary_int (simple::SessionT &sess, retro::Range< int32_t > range, BinaryOpF op, BinaryFwdF< int32_t > fwd, BinaryBwdF< int32_t > bwd)
     
     TEST_F (API, Abs)
     
     TEST_F (API, Neg)
     
     TEST_F (API, Sin)
     
     TEST_F (API, Cos)
     
     TEST_F (API, Tan)
     
     TEST_F (API, Exp)
     
     TEST_F (API, Log)
     
     TEST_F (API, Sqrt)
     
     TEST_F (API, Round)
     
     TEST_F (API, Flip)
     
     TEST_F (API, Pow)
     
     TEST_F (API, Add)
     
     TEST_F (API, Sub)
     
     TEST_F (API, Mul)
     
     TEST_F (API, Div)
     
     TEST_F (API, Min)
     
     TEST_F (API, Max)
     
     TEST_F (API, Eq)
     
     TEST_F (API, Neq)
     
     TEST_F (API, Lt)
     
     TEST_F (API, Gt)
     
     TEST_F (API, NElems)
     
     TEST_F (API, NDims)
     
     TEST_F (API, Rmax)
     
     TEST_F (API, Rsum)
     
     TEST_F (API, Matmul2d)
     
     TEST_F (API, Permute)
     
     TEST_F (API, Extend)
     
    + + + + + +

    +Variables

    static const retro::Range< double > default_range = {-9876, 9876}
     
    const int FREIVALD_N = 10
     
    +

    Typedef Documentation

    + +

    ◆ BinaryBwdF

    + +
    +
    +
    +template<typename T >
    + + + + +
    using BinaryBwdF = std::function<T(T,T,T,T)>
    +
    + +
    +
    + +

    ◆ BinaryFwdF

    + +
    +
    +
    +template<typename T >
    + + + + +
    using BinaryFwdF = std::function<T(T,T)>
    +
    + +
    +
    + +

    ◆ BinaryOpF

    + +
    +
    + + + + +
    using BinaryOpF = std::function<llo::DataNode(llo::DataNode&,llo::DataNode&)>
    +
    + +
    +
    + +

    ◆ MatVecT

    + +
    +
    + + + + +
    using MatVecT = std::vector<std::vector<int32_t> >
    +
    + +
    +
    + +

    ◆ UnaryDblF

    + +
    +
    + + + + +
    using UnaryDblF = std::function<double(double)>
    +
    + +
    +
    + +

    ◆ UnaryOpF

    + +
    +
    + + + + +
    using UnaryOpF = std::function<llo::DataNode(llo::DataNode&)>
    +
    + +
    +
    +

    Function Documentation

    + +

    ◆ binary_elementary()

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    static void binary_elementary (simple::SessionT & sess,
    retro::Range< double > range,
    BinaryOpF op,
    BinaryFwdF< double > fwd,
    BinaryBwdF< double > bwd 
    )
    +     		+static
    +
    + +
    +
    + +

    ◆ binary_elementary_int()

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    static void binary_elementary_int (simple::SessionT & sess,
    retro::Range< int32_t > range,
    BinaryOpF op,
    BinaryFwdF< int32_t > fwd,
    BinaryBwdF< int32_t > bwd 
    )
    +     		+static
    +
    + +
    +
    + +

    ◆ create_2d()

    + +
    +
    + + + + + + + + +
    MatVecT create_2d (llo::GenericData & data)
    +
    + +
    +
    + +

    ◆ freivald()

    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    bool freivald (MatVecT a,
    MatVecT b,
    MatVecT c 
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [1/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Abs  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [2/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Neg  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [3/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Sin  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [4/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Cos  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [5/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Tan  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [6/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Exp  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [7/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Log  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [8/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Sqrt  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [9/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Round  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [10/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Flip  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [11/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Pow  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [12/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Add  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [13/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Sub  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [14/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Mul  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [15/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Div  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [16/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Min  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [17/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Max  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [18/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Eq  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [19/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Neq  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [20/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Lt  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [21/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Gt  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [22/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    NElems  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [23/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    NDims  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [24/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Rmax  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [25/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Rsum  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [26/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Matmul2d  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [27/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Permute  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [28/28]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (API ,
    Extend  
    )
    +
    + +
    +
    + +

    ◆ unary_elementary()

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    static void unary_elementary (simple::SessionT & sess,
    retro::Range< double > range,
    UnaryOpF op,
    UnaryDblF fwd,
    UnaryDblF bwd,
    bool save_grad = true 
    )
    +     		+static
    +
    + +
    +
    + +

    ◆ unary_generic()

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    static void unary_generic (simple::SessionT & sess,
    retro::Range< double > range,
    UnaryOpF op,
    std::function< void(llo::GenericData &, ade::Shape &, std::vector< double > &)> verify,
    std::function< void(double *, std::vector< double > &)> bwverify 
    )
    +     		+static
    +
    + +
    +
    +

    Variable Documentation

    + +

    ◆ default_range

    + +
    +
    + + + + + +
    + + + + +
    const retro::Range<double> default_range = {-9876, 9876}
    +     		+static
    +
    + +
    +
    + +

    ◆ FREIVALD_N

    + +
    +
    + + + + +
    const int FREIVALD_N = 10
    +
    + +
    +
    +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/test__coord_8cpp.html b/docs/test__coord_8cpp.html new file mode 100644 index 000000000..e349013c9 --- /dev/null +++ b/docs/test__coord_8cpp.html @@ -0,0 +1,156 @@ + + + + + + + +Tenncor: ade/test/dynamic/test_coord.cpp File Reference + + + + + + + + + +
    +
    + + + + + + +
    +
    Tenncor +
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    +Classes | +Functions
    +
    +
    test_coord.cpp File Reference
    +
    +
    +
    #include "gtest/gtest.h"
    +#include "ade/coord.hpp"
    +#include "testutil/common.hpp"
    +
    + + + +

    +Classes

    struct  COORD
     
    + + + + + +

    +Functions

     TEST_F (COORD, Inverse)
     
     TEST_F (COORD, Identity)
     
    +

    Function Documentation

    + +

    ◆ TEST_F() [1/2]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (COORD ,
    Inverse  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [2/2]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (COORD ,
    Identity  
    )
    +
    + +
    +
    +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/test__dtype_8cpp.html b/docs/test__dtype_8cpp.html new file mode 100644 index 000000000..f7c5bcfab --- /dev/null +++ b/docs/test__dtype_8cpp.html @@ -0,0 +1,216 @@ + + + + + + + +Tenncor: llo/test/dynamic/test_dtype.cpp File Reference + + + + + + + + + +
    +
    + + + + + + +
    +
    Tenncor +
    +
    +
    + + + + + + + + +
    +
    + + +
    + +
    + + +
    +
    +
    +Classes | +Functions
    +
    +
    test_dtype.cpp File Reference
    +
    +
    +
    #include "gtest/gtest.h"
    +#include "testutil/common.hpp"
    +#include "llo/data.hpp"
    +
    + + + +

    +Classes

    struct  DTYPE
     
    + + + + + + + + + +

    +Functions

     TEST_F (DTYPE, DataConvert)
     
     TEST_F (DTYPE, GetType)
     
     TEST_F (DTYPE, TypeSize)
     
     TEST_F (DTYPE, TypeName)
     
    +

    Function Documentation

    + +

    ◆ TEST_F() [1/4]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (DTYPE ,
    DataConvert  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [2/4]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (DTYPE ,
    GetType  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [3/4]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (DTYPE ,
    TypeSize  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [4/4]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (DTYPE ,
    TypeName  
    )
    +
    + +
    +
    +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/test__functor_8cpp.html b/docs/test__functor_8cpp.html new file mode 100644 index 000000000..a02b8025a --- /dev/null +++ b/docs/test__functor_8cpp.html @@ -0,0 +1,186 @@ + + + + + + + +Tenncor: ade/test/dynamic/test_functor.cpp File Reference + + + + + + + + + +
    +
    + + + + + + +
    +
    Tenncor +
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    +
    +Classes | +Functions
    +
    +
    test_functor.cpp File Reference
    +
    +
    +
    #include "gtest/gtest.h"
    +#include "ade/functor.hpp"
    +#include "testutil/common.hpp"
    +
    + + + +

    +Classes

    struct  FUNCTOR
     
    + + + + + + + +

    +Functions

     TEST_F (FUNCTOR, Childrens)
     
     TEST_F (FUNCTOR, ToString)
     
     TEST_F (FUNCTOR, OpNaming)
     
    +

    Function Documentation

    + +

    ◆ TEST_F() [1/3]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (FUNCTOR ,
    Childrens  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [2/3]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (FUNCTOR ,
    ToString  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [3/3]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (FUNCTOR ,
    OpNaming  
    )
    +
    + +
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    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/test__grader_8cpp.html b/docs/test__grader_8cpp.html new file mode 100644 index 000000000..0027c0a61 --- /dev/null +++ b/docs/test__grader_8cpp.html @@ -0,0 +1,894 @@ + + + + + + + +Tenncor: ade/test/static/test_grader.cpp File Reference + + + + + + + + + +
    +
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    +Functions | +Variables
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    test_grader.cpp File Reference
    +
    +
    +
    #include <fstream>
    +#include "gtest/gtest.h"
    +#include "dbg/ade.hpp"
    +#include "ade/functor.hpp"
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

    +Functions

    static void ltrim (std::string &s)
     
    static void rtrim (std::string &s)
     
    static void trim (std::string &s)
     
    static void TREE_EQ (std::istream &expectstr, ade::Tensorptr &root)
     
     TEST (GRADER, COPY)
     
     TEST (GRADER, ABS)
     
     TEST (GRADER, NEG)
     
     TEST (GRADER, SIN)
     
     TEST (GRADER, COS)
     
     TEST (GRADER, TAN)
     
     TEST (GRADER, EXP)
     
     TEST (GRADER, LOG)
     
     TEST (GRADER, SQRT)
     
     TEST (GRADER, ROUND)
     
     TEST (GRADER, POW)
     
     TEST (GRADER, ADD)
     
     TEST (GRADER, SUB)
     
     TEST (GRADER, MUL)
     
     TEST (GRADER, DIV)
     
     TEST (GRADER, EQ)
     
     TEST (GRADER, NE)
     
     TEST (GRADER, LT)
     
     TEST (GRADER, GT)
     
     TEST (GRADER, RAND_BINO)
     
     TEST (GRADER, RAND_UNIF)
     
     TEST (GRADER, RAND_NORM)
     
    + + + +

    +Variables

    const std::string testdir = "ade/test/data"
     
    +

    Function Documentation

    + +

    ◆ ltrim()

    + +
    +
    + + + + + +
    + + + + + + + + +
    static void ltrim (std::string & s)
    +     		+inlinestatic
    +
    + +
    +
    + +

    ◆ rtrim()

    + +
    +
    + + + + + +
    + + + + + + + + +
    static void rtrim (std::string & s)
    +     		+inlinestatic
    +
    + +
    +
    + +

    ◆ TEST() [1/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    COPY  
    )
    +
    + +
    +
    + +

    ◆ TEST() [2/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    ABS  
    )
    +
    + +
    +
    + +

    ◆ TEST() [3/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    NEG  
    )
    +
    + +
    +
    + +

    ◆ TEST() [4/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    SIN  
    )
    +
    + +
    +
    + +

    ◆ TEST() [5/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    COS  
    )
    +
    + +
    +
    + +

    ◆ TEST() [6/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    TAN  
    )
    +
    + +
    +
    + +

    ◆ TEST() [7/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    EXP  
    )
    +
    + +
    +
    + +

    ◆ TEST() [8/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    LOG  
    )
    +
    + +
    +
    + +

    ◆ TEST() [9/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    SQRT  
    )
    +
    + +
    +
    + +

    ◆ TEST() [10/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    ROUND  
    )
    +
    + +
    +
    + +

    ◆ TEST() [11/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    POW  
    )
    +
    + +
    +
    + +

    ◆ TEST() [12/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    ADD  
    )
    +
    + +
    +
    + +

    ◆ TEST() [13/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    SUB  
    )
    +
    + +
    +
    + +

    ◆ TEST() [14/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    MUL  
    )
    +
    + +
    +
    + +

    ◆ TEST() [15/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    DIV  
    )
    +
    + +
    +
    + +

    ◆ TEST() [16/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    EQ  
    )
    +
    + +
    +
    + +

    ◆ TEST() [17/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    NE  
    )
    +
    + +
    +
    + +

    ◆ TEST() [18/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    LT  
    )
    +
    + +
    +
    + +

    ◆ TEST() [19/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    GT  
    )
    +
    + +
    +
    + +

    ◆ TEST() [20/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    RAND_BINO  
    )
    +
    + +
    +
    + +

    ◆ TEST() [21/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    RAND_UNIF  
    )
    +
    + +
    +
    + +

    ◆ TEST() [22/22]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (GRADER ,
    RAND_NORM  
    )
    +
    + +
    +
    + +

    ◆ TREE_EQ()

    + +
    +
    + + + + + +
    + + + + + + + + + + + + + + + + + + +
    static void TREE_EQ (std::istream & expectstr,
    ade::Tensorptr & root 
    )
    +     		+static
    +
    + +
    +
    + +

    ◆ trim()

    + +
    +
    + + + + + +
    + + + + + + + + +
    static void trim (std::string & s)
    +     		+inlinestatic
    +
    + +
    +
    +

    Variable Documentation

    + +

    ◆ testdir

    + +
    +
    + + + + +
    const std::string testdir = "ade/test/data"
    +
    + +
    +
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    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/test__load_8cpp.html b/docs/test__load_8cpp.html new file mode 100644 index 000000000..04d7dbca0 --- /dev/null +++ b/docs/test__load_8cpp.html @@ -0,0 +1,226 @@ + + + + + + + +Tenncor: pbm/test/test_load.cpp File Reference + + + + + + + + + +
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    test_load.cpp File Reference
    +
    +
    +
    #include <fstream>
    +#include "gtest/gtest.h"
    +#include "dbg/ade.hpp"
    +#include "pbm/graph.hpp"
    +
    + + + + + + + + + +

    +Functions

    static void ltrim (std::string &s)
     
    static void rtrim (std::string &s)
     
    static void trim (std::string &s)
     
     TEST (LOAD, LoadGraph)
     
    + + + +

    +Variables

    const std::string testdir = "pbm/test/data"
     
    +

    Function Documentation

    + +

    ◆ ltrim()

    + +
    +
    + + + + + +
    + + + + + + + + +
    static void ltrim (std::string & s)
    +     		+inlinestatic
    +
    + +
    +
    + +

    ◆ rtrim()

    + +
    +
    + + + + + +
    + + + + + + + + +
    static void rtrim (std::string & s)
    +     		+inlinestatic
    +
    + +
    +
    + +

    ◆ TEST()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (LOAD ,
    LoadGraph  
    )
    +
    + +
    +
    + +

    ◆ trim()

    + +
    +
    + + + + + +
    + + + + + + + + +
    static void trim (std::string & s)
    +     		+inlinestatic
    +
    + +
    +
    +

    Variable Documentation

    + +

    ◆ testdir

    + +
    +
    + + + + +
    const std::string testdir = "pbm/test/data"
    +
    + +
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    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/test__log_8cpp.html b/docs/test__log_8cpp.html new file mode 100644 index 000000000..2058373d1 --- /dev/null +++ b/docs/test__log_8cpp.html @@ -0,0 +1,305 @@ + + + + + + + +Tenncor: ade/test/log/test_log.cpp File Reference + + + + + + + + + +
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    test_log.cpp File Reference
    +
    +
    +
    #include "gtest/gtest.h"
    +#include "ade/test/log/common.hpp"
    +
    + + + +

    +Classes

    struct  LOG
     
    + + + + + + + + + + + + + + + +

    +Functions

     TEST_F (LOG, Default)
     
     TEST_F (LOG, Warn)
     
     TEST_F (LOG, WarnFmt)
     
     TEST_F (LOG, Error)
     
     TEST_F (LOG, ErrorFmt)
     
     TEST_F (LOG, Fatal)
     
     TEST_F (LOG, FatalFmt)
     
    +

    Function Documentation

    + +

    ◆ TEST_F() [1/7]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (LOG ,
    Default  
    )
    +
    + +
    +
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    ◆ TEST_F() [2/7]

    + +
    +
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    TEST_F (LOG ,
    Warn  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [3/7]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (LOG ,
    WarnFmt  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [4/7]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (LOG ,
    Error  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [5/7]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (LOG ,
    ErrorFmt  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [6/7]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (LOG ,
    Fatal  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [7/7]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (LOG ,
    FatalFmt  
    )
    +
    + +
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    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/test__node_8cpp.html b/docs/test__node_8cpp.html new file mode 100644 index 000000000..fc4cb0eec --- /dev/null +++ b/docs/test__node_8cpp.html @@ -0,0 +1,186 @@ + + + + + + + +Tenncor: llo/test/dynamic/test_node.cpp File Reference + + + + + + + + + +
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    test_node.cpp File Reference
    +
    +
    +
    #include "gtest/gtest.h"
    +#include "testutil/common.hpp"
    +#include "llo/node.hpp"
    +
    + + + +

    +Classes

    struct  NODE
     
    + + + + + + + +

    +Functions

     TEST_F (NODE, MismatchSource)
     
     TEST_F (NODE, SourceRetype)
     
     TEST_F (NODE, PlaceHolder)
     
    +

    Function Documentation

    + +

    ◆ TEST_F() [1/3]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (NODE ,
    MismatchSource  
    )
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    + +
    +
    + +

    ◆ TEST_F() [2/3]

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    TEST_F (NODE ,
    SourceRetype  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [3/3]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (NODE ,
    PlaceHolder  
    )
    +
    + +
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    + + diff --git a/docs/test__save_8cpp.html b/docs/test__save_8cpp.html new file mode 100644 index 000000000..9eafd3d0b --- /dev/null +++ b/docs/test__save_8cpp.html @@ -0,0 +1,142 @@ + + + + + + + +Tenncor: pbm/test/test_save.cpp File Reference + + + + + + + + + +
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    test_save.cpp File Reference
    +
    +
    +
    #include <fstream>
    +#include "gtest/gtest.h"
    +#include "llo/api.hpp"
    +#include "pbm/graph.hpp"
    +
    + + + +

    +Functions

     TEST (SAVE, SaveGraph)
     
    + + + +

    +Variables

    const std::string testdir = "pbm/test/data"
     
    +

    Function Documentation

    + +

    ◆ TEST()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (SAVE ,
    SaveGraph  
    )
    +
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    +
    +

    Variable Documentation

    + +

    ◆ testdir

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    +
    + + + + +
    const std::string testdir = "pbm/test/data"
    +
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    + + diff --git a/docs/test__shape_8cpp.html b/docs/test__shape_8cpp.html new file mode 100644 index 000000000..0d9d94cdb --- /dev/null +++ b/docs/test__shape_8cpp.html @@ -0,0 +1,306 @@ + + + + + + + +Tenncor: ade/test/dynamic/test_shape.cpp File Reference + + + + + + + + + +
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    test_shape.cpp File Reference
    +
    +
    +
    #include "gtest/gtest.h"
    +#include "ade/shape.hpp"
    +#include "testutil/common.hpp"
    +
    + + + +

    +Classes

    struct  SHAPE
     
    + + + + + + + + + + + + + + + +

    +Functions

     TEST_F (SHAPE, Init)
     
     TEST_F (SHAPE, VecAssign)
     
     TEST_F (SHAPE, Moves)
     
     TEST_F (SHAPE, NElems)
     
     TEST_F (SHAPE, Compatible)
     
     TEST_F (SHAPE, Coordinates)
     
     TEST_F (SHAPE, ToString)
     
    +

    Function Documentation

    + +

    ◆ TEST_F() [1/7]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (SHAPE ,
    Init  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [2/7]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (SHAPE ,
    VecAssign  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [3/7]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (SHAPE ,
    Moves  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [4/7]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (SHAPE ,
    NElems  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [5/7]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (SHAPE ,
    Compatible  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [6/7]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (SHAPE ,
    Coordinates  
    )
    +
    + +
    +
    + +

    ◆ TEST_F() [7/7]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST_F (SHAPE ,
    ToString  
    )
    +
    + +
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    +
    + +
    +Generated by   +doxygen + 1.8.14 +
    + + diff --git a/docs/test__string_8cpp.html b/docs/test__string_8cpp.html new file mode 100644 index 000000000..383187043 --- /dev/null +++ b/docs/test__string_8cpp.html @@ -0,0 +1,242 @@ + + + + + + + +Tenncor: ade/test/log/test_string.cpp File Reference + + + + + + + + + +
    +
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    +
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    test_string.cpp File Reference
    +
    +
    +
    #include <array>
    +#include <list>
    +#include <vector>
    +#include "gtest/gtest.h"
    +#include "ade/log/string.hpp"
    +
    + + + + + + + + + + + +

    +Functions

     TEST (STREAM, StringFmt)
     
     TEST (STREAM, GenericFmt)
     
     TEST (STREAM, Iterators)
     
     TEST (STRING, Iterators)
     
     TEST (STRING, Sprintf)
     
    +

    Function Documentation

    + +

    ◆ TEST() [1/5]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (STREAM ,
    StringFmt  
    )
    +
    + +
    +
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    ◆ TEST() [2/5]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (STREAM ,
    GenericFmt  
    )
    +
    + +
    +
    + +

    ◆ TEST() [3/5]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (STREAM ,
    Iterators  
    )
    +
    + +
    +
    + +

    ◆ TEST() [4/5]

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    TEST (STRING ,
    Iterators  
    )
    +
    + +
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    test_tensor.cpp File Reference
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    #include "gtest/gtest.h"
    +#include "ade/tensor.hpp"
    +#include "ade/functor.hpp"
    +#include "testutil/common.hpp"
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    struct  TENSOR
     
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     TEST_F (TENSOR, Gradient)
     
     TEST_F (TENSOR, ToString)
     
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    Function Documentation

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    struct  llo::GraphStat
     
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    traveler.hpp
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    1 
    9 #include "llo/node.hpp"
    10 
    11 #ifndef LLO_TRAVELER_HPP
    12 #define LLO_TRAVELER_HPP
    13 
    14 namespace llo
    15 {
    16 
    23 struct GraphStat final : public ade::iTraveler
    24 {
    25  GraphStat (std::vector<llo::DataNode> roots) :
    26  global_ctx_([&roots]() -> llo::EvalCtx
    27  {
    28  std::vector<const llo::EvalCtx*> contexas(roots.size());
    29  std::transform(roots.begin(), roots.end(), contexas.begin(),
    30  [](llo::DataNode& tptr)
    31  {
    32  return &tptr.ctx_;
    33  });
    34  return llo::EvalCtx(contexas);
    35  }())
    36  {
    37  for (llo::DataNode& tptr : roots)
    38  {
    39  tptr.tensor_->accept(*this);
    40  }
    41  // sort functions from the root with the smallest subtree to the largest
    42  // this ensures every children of a node appears before the parent,
    43  // as is the order of node creations
    44  funcs_.sort(
    45  [this](ade::iTensor* a, ade::iTensor* b)
    46  {
    47  return this->graphsize_[a] < this->graphsize_[b];
    48  });
    49  }
    50 
    52  void visit (ade::Tensor* leaf) override
    53  {
    54  if (graphsize_.end() == graphsize_.find(leaf))
    55  {
    56  auto srcinfo = global_ctx_.srcs_.find(leaf);
    57  if (global_ctx_.srcs_.end() != srcinfo)
    58  {
    59  leaves_.push_back(srcinfo->second.get());
    60  }
    61  else if (
    62  leaf != ade::Tensor::SYMBOLIC_ONE.get() &&
    63  leaf != ade::Tensor::SYMBOLIC_ZERO.get())
    64  {
    65  ade::fatal("cannot serialize tensor leaf without source");
    66  }
    67  graphsize_.emplace(leaf, 0);
    68  }
    69  }
    70 
    72  void visit (ade::iFunctor* func) override
    73  {
    74  if (graphsize_.end() == graphsize_.find(func))
    75  {
    76  funcs_.push_back(func);
    77  ade::ArgsT children = func->get_children();
    78  size_t ngraph = 0;
    79  for (auto& child : children)
    80  {
    81  ade::iTensor* tens = child.second.get();
    82  if (graphsize_.end() == graphsize_.find(tens))
    83  {
    84  child.second->accept(*this);
    85  }
    86  auto childinfo = graphsize_.find(tens);
    87  if (graphsize_.end() != childinfo &&
    88  childinfo->second > ngraph)
    89  {
    90  ngraph = childinfo->second;
    91  }
    92  // else child is leaf
    93  }
    94  graphsize_[func] = ngraph + 1;
    95  }
    96  }
    97 
    99  llo::EvalCtx global_ctx_;
    100 
    102  std::vector<llo::iSource*> leaves_;
    103 
    104  // List of functions visited (by depth-first) then sorted by graphsize_ in
    105  // ascending order
    106  std::list<ade::iFunctor*> funcs_;
    107 
    108  // Maximum depth of the subtree of mapped tensors
    109  std::unordered_map<ade::iTensor*,size_t> graphsize_;
    110 };
    111 
    112 }
    113 
    114 #endif // LLO_TRAVELER_HPP
    llo::GraphStat
    Definition: traveler.hpp:23
    +
    ade::iFunctor
    Interface of OPCODE-defined operation node.
    Definition: functor.hpp:24
    +
    ade::Tensorptr::get
    iTensor * get(void) const
    Return the raw pointer.
    Definition: tensor.hpp:93
    +
    llo::GraphStat::visit
    void visit(ade::iFunctor *func) override
    Implemenation of iTraveler.
    Definition: traveler.hpp:72
    +
    llo::GraphStat::visit
    void visit(ade::Tensor *leaf) override
    Implemenation of iTraveler.
    Definition: traveler.hpp:52
    +
    ade::ArgsT
    std::vector< std::pair< CoordPtrT, Tensorptr > > ArgsT
    Type of functor arguments.
    Definition: grader.hpp:22
    +
    llo::GraphStat::global_ctx_
    llo::EvalCtx global_ctx_
    Collected context of all root DataNodes.
    Definition: traveler.hpp:99
    +
    llo::GraphStat::graphsize_
    std::unordered_map< ade::iTensor *, size_t > graphsize_
    Definition: traveler.hpp:109
    +
    llo::GraphStat::funcs_
    std::list< ade::iFunctor * > funcs_
    Definition: traveler.hpp:106
    +
    llo::EvalCtx::srcs_
    SourcePoolT srcs_
    List all ade-source mapping.
    Definition: eval.hpp:64
    +
    ade::Tensor
    Leaf of the graph commonly representing the variable in an equation.
    Definition: tensor.hpp:116
    +
    llo::GraphStat::GraphStat
    GraphStat(std::vector< llo::DataNode > roots)
    Definition: traveler.hpp:25
    +
    ade::iTensor::accept
    virtual void accept(iTraveler &visiter)=0
    Obtain concrete information on either leaf or functor implementations.
    +
    llo::GraphStat::leaves_
    std::vector< llo::iSource * > leaves_
    Vector of leaves visited to maintain order.
    Definition: traveler.hpp:102
    +
    ade::iTraveler
    Interface to travel through graph, treating Tensor and iFunctor differently.
    Definition: tensor.hpp:27
    +
    ade::iTensor
    Interface of traversible and differentiable nodes with shape information.
    Definition: tensor.hpp:39
    +
    ade::fatal
    void fatal(std::string msg)
    Fatal using global logger.
    +
    ade::iFunctor::get_children
    virtual const ArgsT & get_children(void) const =0
    Return children nodes as a vector of raw pointers.
    +
    ade::Tensor::SYMBOLIC_ZERO
    static Tensorptr SYMBOLIC_ZERO
    Represent a scalar containing value zero.
    Definition: tensor.hpp:122
    + +
    llo
    Definition: api.hpp:14
    +
    ade::Tensor::SYMBOLIC_ONE
    static Tensorptr SYMBOLIC_ONE
    Represent a scalar containing value one.
    Definition: tensor.hpp:119
    +
    llo::DataNode
    Definition: eval.hpp:132
    +
    llo::EvalCtx
    Context used to associate ade nodes to llo nodes under a particular graph.
    Definition: eval.hpp:43
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