forked from PaddlePaddle/Paddle-Lite
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
[NNAdapter] Add fill_range fuse pass、eliminate range op、move scale an…
…d expand_v2 op (PaddlePaddle#7200)
- Loading branch information
1 parent
2444c96
commit b4f44d2
Showing
26 changed files
with
869 additions
and
352 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
99 changes: 99 additions & 0 deletions
99
lite/backends/nnadapter/nnadapter/core/operation/expand.cc
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 +1,99 @@ | ||
// Copyright (c) 2021 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 "core/operation/expand.h" | ||
#include <vector> | ||
#include "core/hal/types.h" | ||
#include "utility/debug.h" | ||
#include "utility/logging.h" | ||
#include "utility/modeling.h" | ||
#include "utility/utility.h" | ||
|
||
namespace nnadapter { | ||
namespace operation { | ||
|
||
int PrepareExpand(hal::Operation* operation) { | ||
EXPAND_OPERATION_EXTRACT_INPUTS_OUTPUTS | ||
|
||
// Infer the shape and type of output operands | ||
auto input_type = input_operand->type; | ||
auto& output_type = output_operand->type; | ||
CopyOperandTypeWithQuantParams(&output_type, input_type); | ||
|
||
output_type.dimensions.count = shape_count; | ||
|
||
auto infer_output_shape = [&](int32_t* input_dimensions_data, | ||
uint32_t input_dimensions_count, | ||
int32_t* output_dimensions_data) { | ||
std::vector<int> input_dims_vec; | ||
for (uint32_t i = 0; i < input_dimensions_count; i++) { | ||
input_dims_vec.push_back(input_dimensions_data[i]); | ||
} | ||
auto diff = shape_count - input_dimensions_count; | ||
input_dims_vec.insert(input_dims_vec.begin(), diff, 1); | ||
std::vector<int> final_expand_shape(input_dimensions_count); | ||
for (uint32_t i = 0; i < input_dims_vec.size(); ++i) { | ||
NNADAPTER_CHECK_NE(shape_data[i], 0) | ||
<< "The expanded size cannot be zero."; | ||
if (i < diff) { | ||
// shape_data = [3,4,-1,-1], X = [10,2] --> // final_expand_shape = | ||
// [3,4,10,2] | ||
NNADAPTER_CHECK_GT(shape_data[i], 0) | ||
<< "The expanded size " << shape_data[i] | ||
<< "for non-existing dimensions must be positive for expand_v2 op."; | ||
final_expand_shape[i] = shape_data[i]; | ||
} else if (shape_data[i] > 0) { | ||
// shape_data = [3,4,10,4], X = [10,1] --> final_expand_shape = | ||
// [3,4,10,4] | ||
if (input_dims_vec[i] != 1) { | ||
NNADAPTER_CHECK_EQ(input_dims_vec[i], shape_data[i]) | ||
<< "The value " << input_dims_vec[i] | ||
<< " of the non-singleton dimension does not match the " | ||
"corresponding value " | ||
<< shape_data[i] << " in shape for expand_v2 op."; | ||
final_expand_shape[i] = shape_data[i]; | ||
} else { | ||
final_expand_shape[i] = shape_data[i]; | ||
} | ||
} else { | ||
// shape_data = [3,4,-1,-1], X = [10,2] --> final_expand_shape = | ||
// [3,4,10,2] | ||
NNADAPTER_CHECK_EQ(shape_data[i], -1) | ||
<< "When the value in shape is negative for expand_v2 op, " | ||
"only -1 is supported, but the value received is " | ||
<< shape_data[i]; | ||
final_expand_shape[i] = input_dims_vec[i]; | ||
} | ||
} | ||
|
||
for (uint32_t i = 0; i < shape_count; ++i) { | ||
shape_data[i] = final_expand_shape[i]; | ||
output_dimensions_data[i] = final_expand_shape[i]; | ||
} | ||
}; | ||
|
||
infer_output_shape(input_type.dimensions.data, | ||
input_type.dimensions.count, | ||
output_type.dimensions.data); | ||
for (uint32_t i = 0; i < input_type.dimensions.dynamic_count; i++) { | ||
infer_output_shape(input_type.dimensions.dynamic_data[i], | ||
input_type.dimensions.count, | ||
output_type.dimensions.dynamic_data[i]); | ||
} | ||
NNADAPTER_VLOG(5) << "output: " << OperandToString(output_operand); | ||
return NNADAPTER_NO_ERROR; | ||
} | ||
|
||
} // namespace operation | ||
} // namespace nnadapter |
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 +1,53 @@ | ||
// Copyright (c) 2021 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 "core/operation/range.h" | ||
#include "core/hal/types.h" | ||
#include "utility/debug.h" | ||
#include "utility/logging.h" | ||
#include "utility/modeling.h" | ||
#include "utility/utility.h" | ||
|
||
namespace nnadapter { | ||
namespace operation { | ||
|
||
int PrepareRange(hal::Operation* operation) { | ||
RANGE_OPERATION_EXTRACT_INPUTS_OUTPUTS | ||
|
||
// Infer the shape and type of output operands | ||
auto& output_type = output_operand->type; | ||
NNADAPTER_CHECK_EQ(start_operand->type.dimensions.count, 1); | ||
NNADAPTER_CHECK_EQ(limit_operand->type.dimensions.count, 1); | ||
NNADAPTER_CHECK_EQ(delta_operand->type.dimensions.count, 1); | ||
|
||
if (IsConstantOperand(start_operand) && IsConstantOperand(limit_operand) && | ||
IsConstantOperand(delta_operand)) { | ||
auto start_data = reinterpret_cast<float*>(start_operand->buffer)[0]; | ||
auto limit_data = reinterpret_cast<float*>(limit_operand->buffer)[0]; | ||
auto delta_data = reinterpret_cast<float*>(delta_operand->buffer)[0]; | ||
output_type.dimensions.data[0] = | ||
GetSpanCount(start_data, limit_data, delta_data); | ||
} else { | ||
output_type.dimensions.data[0] = NNADAPTER_UNKNOWN; | ||
} | ||
output_type.precision = start_operand->type.precision; | ||
output_type.lifetime = NNADAPTER_TEMPORARY_VARIABLE; | ||
output_type.dimensions.count = 1; | ||
|
||
NNADAPTER_VLOG(5) << "output: " << OperandToString(output_operand); | ||
return NNADAPTER_NO_ERROR; | ||
} | ||
|
||
} // namespace operation | ||
} // namespace nnadapter |
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
100 changes: 100 additions & 0 deletions
100
lite/core/optimizer/mir/elimination/range_calc_offline_pass.cc
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 +1,100 @@ | ||
// Copyright (c) 2019 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 "lite/core/optimizer/mir/elimination/range_calc_offline_pass.h" | ||
#include <algorithm> | ||
#include <cmath> | ||
#include <list> | ||
#include <memory> | ||
#include <set> | ||
#include <vector> | ||
#include "lite/core/optimizer/mir/pass.h" | ||
#include "lite/core/optimizer/mir/pass_registry.h" | ||
#include "lite/core/optimizer/mir/pattern_matcher.h" | ||
#include "lite/model_parser/cpp_desc.h" | ||
|
||
namespace paddle { | ||
namespace lite { | ||
namespace mir { | ||
|
||
template <typename T> | ||
int64_t GetSpanCount(T start, T end, T step) { | ||
return std::is_integral<T>::value | ||
? ((std::abs(end - start) + std::abs(step) - 1) / std::abs(step)) | ||
: std::ceil(std::abs((end - start) / step)); | ||
} | ||
|
||
void RangeCalcOfflinePass::Apply(const std::unique_ptr<SSAGraph>& graph) { | ||
RemoveRangePattern(graph); | ||
} | ||
|
||
void RangeCalcOfflinePass::RemoveRangePattern( | ||
const std::unique_ptr<SSAGraph>& graph) { | ||
for (auto& node : graph->StmtTopologicalOrder()) { | ||
if (node->AsStmt().picked_kernel().op_type() != "range") continue; | ||
|
||
std::set<const Node*> nodes2rm_; | ||
auto& range_instruct = node->AsStmt(); | ||
auto* scope = range_instruct.op()->scope(); | ||
auto op_desc = range_instruct.mutable_op_info(); | ||
|
||
// Get range's input tensor | ||
auto start_var = scope->FindVar(op_desc->Input("Start").front()); | ||
auto end_var = scope->FindVar(op_desc->Input("End").front()); | ||
auto step_var = scope->FindVar(op_desc->Input("Step").front()); | ||
auto start_t = start_var->GetMutable<lite::Tensor>(); | ||
auto end_t = end_var->GetMutable<lite::Tensor>(); | ||
auto step_t = step_var->GetMutable<lite::Tensor>(); | ||
if (!start_t->persistable() || !end_t->persistable() || | ||
!step_t->persistable()) { | ||
LOG(WARNING) << "RangeCalcOfflinePass does not support input that is not " | ||
"persistent"; | ||
return; | ||
} | ||
auto start = start_t->mutable_data<float>()[0]; | ||
auto end = end_t->mutable_data<float>()[0]; | ||
auto step = step_t->mutable_data<float>()[0]; | ||
// Get range's output tensor | ||
auto out_var = scope->FindVar(op_desc->Output("Out").front()); | ||
auto out_t = out_var->GetMutable<lite::Tensor>(); | ||
|
||
// Calc range | ||
int64_t size = GetSpanCount(start, end, step); | ||
|
||
out_t->Resize(DDim({size})); | ||
auto out_data = out_t->mutable_data<float>(); | ||
|
||
float value = start; | ||
for (int64_t i = 0; i < size; ++i) { | ||
out_data[i] = value; | ||
value += step; | ||
} | ||
// Offline calc range, only retain output tensor as persistable tensor | ||
out_t->set_persistable(true); | ||
auto range_outlinks = node->outlinks; | ||
for (auto& range_out_link : range_outlinks) { | ||
range_out_link->arg()->is_weight = true; | ||
} | ||
nodes2rm_.insert(node); | ||
GraphSafeRemoveNodes(graph.get(), nodes2rm_); | ||
} | ||
} | ||
|
||
} // namespace mir | ||
} // namespace lite | ||
} // namespace paddle | ||
|
||
REGISTER_MIR_PASS(range_calc_offline_pass, | ||
paddle::lite::mir::RangeCalcOfflinePass) | ||
.BindTargets({TARGET(kNNAdapter)}); |
38 changes: 38 additions & 0 deletions
38
lite/core/optimizer/mir/elimination/range_calc_offline_pass.h
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 +1,38 @@ | ||
// Copyright (c) 2021 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 <limits> | ||
#include <memory> | ||
#include <string> | ||
#include <vector> | ||
#include "lite/core/optimizer/mir/pass.h" | ||
#include "lite/core/optimizer/mir/pass_registry.h" | ||
#include "lite/core/tensor.h" | ||
#include "lite/core/types.h" | ||
|
||
namespace paddle { | ||
namespace lite { | ||
namespace mir { | ||
|
||
class RangeCalcOfflinePass : public mir::StmtPass { | ||
public: | ||
void Apply(const std::unique_ptr<SSAGraph>& graph) override; | ||
void RemoveRangePattern(const std::unique_ptr<SSAGraph>& graph); | ||
}; | ||
|
||
} // namespace mir | ||
} // namespace lite | ||
} // namespace paddle |
Oops, something went wrong.