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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,58 @@ | ||
| /* 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 "paddle/fluid/framework/ir/cpu_quantize_placement_pass.h" | ||
| #include <string> | ||
| #include <unordered_set> | ||
|
|
||
| namespace paddle { | ||
| namespace framework { | ||
| namespace ir { | ||
|
|
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| std::unique_ptr<ir::Graph> CPUQuantizePlacementPass::ApplyImpl( | ||
| std::unique_ptr<ir::Graph> graph) const { | ||
| VLOG(3) << "Marks operators which are to be quantized."; | ||
| const auto& excluded_ids_list = | ||
| Get<std::unordered_set<int>>("quantize_excluded_op_ids"); | ||
| const auto& op_types_list = | ||
| Get<std::unordered_set<std::string>>("quantize_enabled_op_types"); | ||
| for (const Node* n : graph->Nodes()) { | ||
| if (n->IsOp()) { | ||
| if (std::find(excluded_ids_list.begin(), excluded_ids_list.end(), | ||
| n->id()) != excluded_ids_list.end()) | ||
| continue; | ||
| auto* op = n->Op(); | ||
| if (op->HasAttr("use_quantizer") || op->HasProtoAttr("use_quantizer")) { | ||
| if (op_types_list.empty()) { | ||
| op->SetAttr("use_quantizer", true); | ||
| } else if (std::find(op_types_list.begin(), op_types_list.end(), | ||
| n->Name()) != op_types_list.end()) { | ||
| op->SetAttr("use_quantizer", true); | ||
| } | ||
| } | ||
| } | ||
| } | ||
| return graph; | ||
| } | ||
|
|
||
| } // namespace ir | ||
| } // namespace framework | ||
| } // namespace paddle | ||
|
|
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| REGISTER_PASS(cpu_quantize_placement_pass, | ||
| paddle::framework::ir::CPUQuantizePlacementPass) | ||
| // a vector of operator type names to be quantized ("conv2d" etc.) | ||
| .RequirePassAttr("quantize_enabled_op_types") | ||
| // a vector of operator ids that are to be excluded from quantization | ||
| .RequirePassAttr("quantize_excluded_op_ids"); |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,34 @@ | ||
| /* 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. */ | ||
|
|
||
| #pragma once | ||
|
|
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| #include <memory> | ||
| #include "paddle/fluid/framework/ir/pass.h" | ||
|
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| namespace paddle { | ||
| namespace framework { | ||
| namespace ir { | ||
| /* | ||
| * Specifies which operators should be quantized. | ||
| */ | ||
| class CPUQuantizePlacementPass : public Pass { | ||
| protected: | ||
| std::unique_ptr<ir::Graph> ApplyImpl( | ||
| std::unique_ptr<ir::Graph> graph) const override; | ||
| }; | ||
|
|
||
| } // namespace ir | ||
| } // namespace framework | ||
| } // namespace paddle |
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