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59 lines
2.1 KiB
59 lines
2.1 KiB
/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/fluid/framework/ir/cpu_quantize_placement_pass.h"
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#include <string>
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#include <unordered_set>
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namespace paddle {
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namespace framework {
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namespace ir {
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std::unique_ptr<ir::Graph> CPUQuantizePlacementPass::ApplyImpl(
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std::unique_ptr<ir::Graph> graph) const {
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VLOG(3) << "Marks operators which are to be quantized.";
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const auto& excluded_ids_list =
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Get<std::unordered_set<int>>("quantize_excluded_op_ids");
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const auto& op_types_list =
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Get<std::unordered_set<std::string>>("quantize_enabled_op_types");
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for (const Node* n : graph->Nodes()) {
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if (n->IsOp()) {
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if (std::find(excluded_ids_list.begin(), excluded_ids_list.end(),
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n->id()) != excluded_ids_list.end())
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continue;
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auto* op = n->Op();
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if (op->HasAttr("use_quantizer") || op->HasProtoAttr("use_quantizer")) {
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if (op_types_list.empty()) {
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op->SetAttr("use_quantizer", true);
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} else if (std::find(op_types_list.begin(), op_types_list.end(),
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n->Name()) != op_types_list.end()) {
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op->SetAttr("use_quantizer", true);
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}
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}
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}
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}
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return graph;
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}
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} // namespace ir
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} // namespace framework
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} // namespace paddle
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REGISTER_PASS(cpu_quantize_placement_pass,
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paddle::framework::ir::CPUQuantizePlacementPass)
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// a vector of operator type names to be quantized ("conv2d" etc.)
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.RequirePassAttr("quantize_enabled_op_types")
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// a vector of operator ids that are to be excluded from quantization
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.RequirePassAttr("quantize_excluded_op_ids");
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