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[XPU] XPU inference support int8 (#57258)
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| Original file line number | Diff line number | Diff line change |
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| // Copyright (c) 2023 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. | ||
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| #include "paddle/fluid/framework/ir/quantize_helper.h" | ||
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| namespace paddle { | ||
| namespace framework { | ||
| namespace ir { | ||
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| void SaveQuantInfoInTheGraph( | ||
| ir::Graph* graph, | ||
| const std::string& flag, | ||
| const std::string& key_suffix, | ||
| const std::unordered_map<std::string, std::vector<float>>& info_map) { | ||
| const std::string suffix = "_" + key_suffix + "_" + flag; | ||
| if (!graph->Has(flag)) { | ||
| graph->Set(flag, new bool(true)); | ||
| } | ||
| for (auto iter = info_map.begin(); iter != info_map.end(); ++iter) { | ||
| graph->Set(iter->first + suffix, new std::vector<float>(iter->second)); | ||
| } | ||
| } | ||
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| std::unordered_map<std::string, std::vector<float>> GetQuantInfoFromTheGraph( | ||
| ir::Graph* graph, const std::string& flag, const std::string& key_suffix) { | ||
| std::unordered_map<std::string, std::vector<float>> info_map; | ||
| const std::string suffix = "_" + key_suffix + "_" + flag; | ||
| if (graph->Has(flag)) { | ||
| std::vector<std::string> attr_names = graph->AttrNames(); | ||
| for (auto fake_name : attr_names) { | ||
| size_t pos = fake_name.find(suffix); | ||
| if (pos != std::string::npos) { | ||
| std::string name = fake_name.substr(0, pos); | ||
| auto scales_vector = graph->Get<std::vector<float>>(fake_name); | ||
| info_map.insert(std::make_pair(name, scales_vector)); | ||
| } | ||
| } | ||
| } | ||
| return info_map; | ||
| } | ||
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| bool AreScalesPresentForNodes( | ||
| std::unordered_map<std::string, std::vector<float>>* var_quant_scales, | ||
| std::initializer_list<Node*> nodes) { | ||
| bool present = true; | ||
| for (auto node : nodes) { | ||
| if (var_quant_scales->count(node->Name()) == 0) { | ||
| present = false; | ||
| } | ||
| } | ||
| return present; | ||
| } | ||
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| float GetScaleValueForNode( | ||
| std::unordered_map<std::string, std::vector<float>>* var_quant_scales, | ||
| Node* node) { | ||
| return var_quant_scales->at(node->Name())[0]; | ||
| } | ||
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| std::vector<float> GetScaleVecValueForNode( | ||
| std::unordered_map<std::string, std::vector<float>>* var_quant_scales, | ||
| Node* node) { | ||
| return var_quant_scales->at(node->Name()); | ||
| } | ||
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| } // namespace ir | ||
| } // namespace framework | ||
| } // namespace paddle |
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