-
Notifications
You must be signed in to change notification settings - Fork 5.5k
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
8 changed files
with
208 additions
and
3 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,77 @@ | ||
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved. | ||
Licensed under the Apache License, Version 2.0 (the "License"); | ||
you may not use this file except in compliance with the License. | ||
You may obtain a copy of the License at | ||
http://www.apache.org/licenses/LICENSE-2.0 | ||
Unless required by applicable law or agreed to in writing, software | ||
distributed under the License is distributed on an "AS IS" BASIS, | ||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
See the License for the specific language governing permissions and | ||
limitations under the License. */ | ||
|
||
#include "paddle/operators/compare_op.h" | ||
#include "paddle/framework/op_registry.h" | ||
namespace paddle { | ||
namespace operators { | ||
template <typename OpComment> | ||
class LogicalOpProtoMaker : public framework::OpProtoAndCheckerMaker { | ||
public: | ||
LogicalOpProtoMaker(framework::OpProto *proto, | ||
framework::OpAttrChecker *op_checker) | ||
: OpProtoAndCheckerMaker(proto, op_checker) { | ||
OpComment comment; | ||
AddInput("X", | ||
string::Sprintf("(LoDTensor) the left hand operand of %s operator", | ||
comment.type)); | ||
AddInput("Y", string::Sprintf( | ||
"(LoDTensor) the right hand operand of %s operator", | ||
comment.type)); | ||
AddOutput("Out", string::Sprintf( | ||
"(LoDTensor) n-dim bool tensor. Each element is %s", | ||
comment.equation)); | ||
AddComment(string::Sprintf(R"DOC(%s Operator | ||
It operates element-wise on X and Y, and returns the Out. Each of them is a | ||
N-dim tensor. X and Y could be any type. The each element of the Out tensor is | ||
calculated by %s | ||
)DOC", | ||
comment.type, comment.equation)); | ||
} | ||
}; | ||
|
||
template <typename OpComment> | ||
class LogicalOpInferShape : public framework::InferShapeBase { | ||
public: | ||
void operator()(framework::InferShapeContext *context) const override { | ||
OpComment comment; | ||
PADDLE_ENFORCE(context->HasInput("X"), "%s operator must has input X", | ||
comment.type); | ||
PADDLE_ENFORCE(context->HasInput("Y"), "%s operator must has input Y", | ||
comment.type); | ||
context->SetOutputDim("Out", context->GetInputDim("X")); | ||
context->ShareLoD("X", "Out"); | ||
} | ||
}; | ||
|
||
} // namespace operators | ||
} // namespace paddle | ||
|
||
#define REGISTER_LOGICAL_OP(op_type, _equation) \ | ||
struct _##op_type##Comment { \ | ||
static char type[]; \ | ||
static char equation[]; \ | ||
}; \ | ||
char _##op_type##Comment::type[]{#op_type}; \ | ||
char _##op_type##Comment::equation[]{_equation}; \ | ||
REGISTER_OP_WITH_KERNEL( \ | ||
op_type, ::paddle::operators::LogicalOpProtoMaker<_##op_type##Comment>, \ | ||
::paddle::operators::LogicalOpInferShape<_##op_type##Comment>, \ | ||
::paddle::framework::EmptyGradOpMaker); | ||
|
||
REGISTER_LOGICAL_OP(less_than, "Out = X < Y"); | ||
REGISTER_LOGICAL_KERNEL(less_than, CPU, paddle::operators::LessThanFunctor); | ||
REGISTER_LOGICAL_OP(equal, "Out = X == Y"); | ||
REGISTER_LOGICAL_KERNEL(equal, CPU, paddle::operators::EqualFunctor); |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,18 @@ | ||
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved. | ||
Licensed under the Apache License, Version 2.0 (the "License"); | ||
you may not use this file except in compliance with the License. | ||
You may obtain a copy of the License at | ||
http://www.apache.org/licenses/LICENSE-2.0 | ||
Unless required by applicable law or agreed to in writing, software | ||
distributed under the License is distributed on an "AS IS" BASIS, | ||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
See the License for the specific language governing permissions and | ||
limitations under the License. */ | ||
|
||
#include "paddle/operators/compare_op.h" | ||
|
||
REGISTER_LOGICAL_KERNEL(less_than, GPU, paddle::operators::LessThanFunctor); | ||
REGISTER_LOGICAL_KERNEL(equal, GPU, paddle::operators::EqualFunctor); |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,74 @@ | ||
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved. | ||
Licensed under the Apache License, Version 2.0 (the "License"); | ||
you may not use this file except in compliance with the License. | ||
You may obtain a copy of the License at | ||
http://www.apache.org/licenses/LICENSE-2.0 | ||
Unless required by applicable law or agreed to in writing, software | ||
distributed under the License is distributed on an "AS IS" BASIS, | ||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
See the License for the specific language governing permissions and | ||
limitations under the License. */ | ||
|
||
#pragma once | ||
#include <math.h> | ||
#include <type_traits> | ||
#include "paddle/framework/op_registry.h" | ||
#include "paddle/platform/transform.h" | ||
|
||
namespace paddle { | ||
namespace operators { | ||
|
||
template <typename T> | ||
struct LessThanFunctor { | ||
using ELEM_TYPE = T; | ||
HOSTDEVICE bool operator()(const T& a, const T& b) const { return a < b; } | ||
}; | ||
|
||
template <typename T> | ||
struct EqualFunctor { | ||
using ELEM_TYPE = T; | ||
HOSTDEVICE bool operator()(const T& a, const T& b) const { | ||
if (std::is_floating_point<T>::value) { | ||
// This branch will be optimized while compiling if T is integer. It is | ||
// safe to cast a and b to double. | ||
return fabs(static_cast<double>(a - b)) < 1e-8; | ||
} else { | ||
return (a == b); | ||
} | ||
} | ||
}; | ||
|
||
template <typename Place, typename Functor> | ||
class LogicalOpKernel | ||
: public framework::OpKernel<typename Functor::ELEM_TYPE> { | ||
public: | ||
void Compute(const framework::ExecutionContext& context) const override { | ||
using T = typename Functor::ELEM_TYPE; | ||
auto* x = context.Input<framework::Tensor>("X"); | ||
auto* y = context.Input<framework::Tensor>("Y"); | ||
auto* out = context.Output<framework::Tensor>("Out"); | ||
Functor binary_func; | ||
platform::Transform<Place> trans; | ||
trans(context.device_context(), x->data<T>(), x->data<T>() + x->numel(), | ||
y->data<T>(), out->mutable_data<bool>(context.GetPlace()), | ||
binary_func); | ||
} | ||
}; | ||
|
||
} // namespace operators | ||
} // namespace paddle | ||
|
||
#define REGISTER_LOGICAL_KERNEL(op_type, dev, functor) \ | ||
REGISTER_OP_##dev##_KERNEL( \ | ||
op_type, \ | ||
::paddle::operators::LogicalOpKernel<::paddle::platform::dev##Place, \ | ||
functor<int>>, \ | ||
::paddle::operators::LogicalOpKernel<::paddle::platform::dev##Place, \ | ||
functor<int64_t>>, \ | ||
::paddle::operators::LogicalOpKernel<::paddle::platform::dev##Place, \ | ||
functor<float>>, \ | ||
::paddle::operators::LogicalOpKernel<::paddle::platform::dev##Place, \ | ||
functor<double>>); |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,29 @@ | ||
import op_test | ||
import unittest | ||
import numpy | ||
|
||
|
||
def create_test_class(op_type, typename, callback): | ||
class Cls(op_test.OpTest): | ||
def setUp(self): | ||
a = numpy.random.random(size=(10, 7)).astype(typename) | ||
b = numpy.random.random(size=(10, 7)).astype(typename) | ||
c = callback(a, b) | ||
self.inputs = {'X': a, 'Y': b} | ||
self.outputs = {'Out': c} | ||
self.op_type = op_type | ||
|
||
def test_output(self): | ||
self.check_output() | ||
|
||
cls_name = "{0}_{1}".format(op_type, typename) | ||
Cls.__name__ = cls_name | ||
globals()[cls_name] = Cls | ||
|
||
|
||
for _type_name in {'float32', 'float64', 'int32', 'int64'}: | ||
create_test_class('less_than', _type_name, lambda _a, _b: _a < _b) | ||
create_test_class('equal', _type_name, lambda _a, _b: _a == _b) | ||
|
||
if __name__ == '__main__': | ||
unittest.main() |