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paddle/fluid/inference/tensorrt/convert/generic_and_custom_plugin_creater.cc
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| /* Copyright (c) 2022 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/op_meta_info_helper.h" | ||
| #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" | ||
| #include "paddle/fluid/inference/tensorrt/helper.h" | ||
| #include "paddle/fluid/inference/tensorrt/plugin/generic_plugin.h" | ||
| #include "paddle/fluid/inference/tensorrt/plugin_arg_mapping_context.h" | ||
|
|
||
| namespace paddle { | ||
| namespace inference { | ||
| namespace tensorrt { | ||
| /* | ||
| * Stack converter from fluid to tensorRT. | ||
| */ | ||
| class CustomPluginCreater : public OpConverter { | ||
| public: | ||
| void operator()(const framework::proto::OpDesc &op, | ||
| const framework::Scope &scope, | ||
| bool test_mode) override { | ||
| framework::OpDesc op_desc(op, nullptr); | ||
| VLOG(3) << "convert " << op_desc.Type() << " op to custom pluign layer"; | ||
|
|
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| std::string plugin_name; | ||
|
|
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| if (engine_->with_dynamic_shape()) { | ||
| plugin_name = op_desc.Type() + "_paddle_trt_dynamic_plugin"; | ||
| } else { | ||
| plugin_name = op_desc.Type() + "_paddle_trt_plugin"; | ||
| } | ||
|
|
||
| nvinfer1::ILayer *layer = nullptr; | ||
| std::vector<nvinfer1::ITensor *> inputs; | ||
|
|
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| auto &op_meta_info_map = OpMetaInfoMap::Instance(); | ||
| const auto &meta_info_map = op_meta_info_map.GetMap(); | ||
| auto &op_info = meta_info_map.at(op_desc.Type()).front(); | ||
|
|
||
| // set inputs | ||
| auto &op_input_names = framework::OpMetaInfoHelper::GetInputs(op_info); | ||
| for (auto ¶m_name : op_input_names) { | ||
| for (auto &arg_name : op_desc.Input(param_name)) { | ||
| framework::Variable *X_v = nullptr; | ||
| X_v = scope.FindVar(arg_name); | ||
| // If this weight is not shared between ops, it need to be convtered to | ||
| // itensor | ||
| if (X_v && !engine_->GetITensorMap()->count(arg_name)) { | ||
| ConvertWeight2ITensor(scope, arg_name); | ||
| } | ||
| inputs.push_back(engine_->GetITensor(arg_name)); | ||
| } | ||
| } | ||
| auto creator = | ||
| GetPluginRegistry()->getPluginCreator(plugin_name.c_str(), "1"); | ||
| CHECK(creator); | ||
|
|
||
| // set attrs | ||
| std::vector<nvinfer1::PluginField> plugindatas; | ||
| auto &op_attrs_names = framework::OpMetaInfoHelper::GetAttrs(op_info); | ||
| auto &attrs = op_desc.GetAttrMap(); | ||
|
|
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| std::list<int> int_attrs; | ||
| std::list<float> float_attrs; | ||
| std::list<double> bool_attrs; | ||
| std::list<std::string> string_attrs; | ||
| std::list<std::vector<int>> ints_attrs; | ||
| std::list<std::vector<float>> floats_attrs; | ||
|
|
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| for (auto &attr_name : op_attrs_names) { | ||
| nvinfer1::PluginField plugindata; | ||
| plugindata.name = attr_name.c_str(); | ||
| if (op_desc.GetAttrType(attr_name) == framework::proto::AttrType::INT) { | ||
| int_attrs.push_back(PADDLE_GET_CONST(int, attrs.at(attr_name))); | ||
| plugindata.data = &int_attrs.back(); | ||
| plugindata.type = nvinfer1::PluginFieldType::kINT32; | ||
| plugindata.length = 1; | ||
| } else if (op_desc.GetAttrType(attr_name) == | ||
| framework::proto::AttrType::FLOAT) { | ||
| float_attrs.push_back(PADDLE_GET_CONST(float, attrs.at(attr_name))); | ||
| plugindata.data = &float_attrs.back(); | ||
| plugindata.type = nvinfer1::PluginFieldType::kFLOAT32; | ||
| plugindata.length = 1; | ||
| } else if (op_desc.GetAttrType(attr_name) == | ||
| framework::proto::AttrType::BOOLEAN) { | ||
| int_attrs.push_back(PADDLE_GET_CONST(bool, attrs.at(attr_name))); | ||
| plugindata.data = &int_attrs.back(); | ||
| plugindata.type = nvinfer1::PluginFieldType::kINT32; | ||
| plugindata.length = 1; | ||
| } else if (op_desc.GetAttrType(attr_name) == | ||
| framework::proto::AttrType::STRING) { | ||
| string_attrs.push_back( | ||
| PADDLE_GET_CONST(std::string, attrs.at(attr_name))); | ||
| plugindata.data = string_attrs.back().data(); | ||
| plugindata.type = nvinfer1::PluginFieldType::kCHAR; | ||
| plugindata.length = | ||
| string_attrs.back().size() + 1; // string ends with ‘\0’ | ||
| } else if (op_desc.GetAttrType(attr_name) == | ||
| framework::proto::AttrType::INTS) { | ||
| ints_attrs.push_back( | ||
| PADDLE_GET_CONST(std::vector<int>, attrs.at(attr_name))); | ||
| plugindata.data = ints_attrs.back().data(); | ||
| plugindata.type = nvinfer1::PluginFieldType::kINT32; | ||
| plugindata.length = ints_attrs.back().size(); | ||
| } else if (op_desc.GetAttrType(attr_name) == | ||
| framework::proto::AttrType::FLOATS) { | ||
| floats_attrs.push_back( | ||
| PADDLE_GET_CONST(std::vector<float>, attrs.at(attr_name))); | ||
| plugindata.data = floats_attrs.back().data(); | ||
| plugindata.type = nvinfer1::PluginFieldType::kFLOAT32; | ||
| plugindata.length = floats_attrs.back().size(); | ||
| } else if (op_desc.GetAttrType(attr_name) == | ||
| framework::proto::AttrType::BOOLEANS) { | ||
| auto bools_attr = | ||
| PADDLE_GET_CONST(std::vector<bool>, attrs.at(attr_name)); | ||
| std::vector<int> convert_to_ints_attr; | ||
| for (bool i : bools_attr) convert_to_ints_attr.push_back(i); | ||
| ints_attrs.push_back(convert_to_ints_attr); | ||
| plugindata.data = ints_attrs.back().data(); | ||
| plugindata.type = nvinfer1::PluginFieldType::kINT32; | ||
| plugindata.length = ints_attrs.back().size(); | ||
| } else { | ||
| CHECK(false) << "UNKNOWN PluginFieldType."; | ||
| } | ||
| plugindatas.push_back(plugindata); | ||
| } | ||
|
|
||
| nvinfer1::PluginFieldCollection plugin_fc{(int32_t)plugindatas.size(), | ||
| plugindatas.data()}; | ||
|
|
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| auto *plugin = creator->createPlugin(op_desc.Type().c_str(), &plugin_fc); | ||
| CHECK(plugin); | ||
|
|
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| if (engine_->with_dynamic_shape()) { | ||
| layer = | ||
| engine_->AddDynamicPlugin(inputs.data(), | ||
| inputs.size(), | ||
| (plugin::DynamicPluginTensorRT *)plugin); | ||
| } else { | ||
| layer = engine_->AddPlugin( | ||
| inputs.data(), inputs.size(), (plugin::PluginTensorRT *)plugin); | ||
| } | ||
|
|
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| CHECK(layer); | ||
|
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||
| // set outputs | ||
| auto &op_output_names = framework::OpMetaInfoHelper::GetOutputs(op_info); | ||
| std::vector<std::string> output_names; | ||
| for (auto ¶m_name : op_output_names) { | ||
| for (auto &arg_name : op_desc.Output(param_name)) | ||
| output_names.push_back(arg_name); | ||
| } | ||
|
|
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| RreplenishLayerAndOutput(layer, op_desc.Type(), output_names, test_mode); | ||
| } | ||
| }; | ||
|
|
||
| class GenericPluginCreater : public OpConverter { | ||
| public: | ||
| void operator()(const framework::proto::OpDesc &op, | ||
| const framework::Scope &scope, | ||
| bool test_mode) override { | ||
| framework::OpDesc op_desc(op, nullptr); | ||
| CHECK(block_); | ||
| const framework::BlockDesc block_desc( | ||
| nullptr, const_cast<framework::proto::BlockDesc *>(block_)); | ||
|
|
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| nvinfer1::ILayer *layer = nullptr; | ||
| std::vector<nvinfer1::ITensor *> inputs; | ||
|
|
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| phi::KernelSignature phi_kernel_signature; | ||
| if (phi::OpUtilsMap::Instance().HasArgumentMappingFn(op_desc.Type())) { | ||
| const phi::ArgumentMappingFn *argument_mapping_func = | ||
| phi::OpUtilsMap::Instance().GetArgumentMappingFn(op_desc.Type()); | ||
| PluginArgumentMappingContext argument_mapping_context(&op_desc); | ||
| phi_kernel_signature = (*argument_mapping_func)(argument_mapping_context); | ||
| } else { | ||
| phi_kernel_signature = | ||
| phi::DefaultKernelSignatureMap::Instance().Get(op_desc.Type()); | ||
| } | ||
|
|
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| plugin::GenericPlugin::InputOutPutVarInfo in_out_info; | ||
|
|
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| for (auto ¶m_name : phi_kernel_signature.input_names) { | ||
| for (auto &arg_name : op_desc.Input(param_name)) { | ||
| framework::Variable *X_v = nullptr; | ||
| X_v = scope.FindVar(arg_name); | ||
| // If this weight is not shared between ops, it need to be convtered to | ||
| // itensor | ||
| if (X_v && !engine_->GetITensorMap()->count(arg_name)) { | ||
| ConvertWeight2ITensor(scope, arg_name); | ||
| } | ||
|
|
||
| inputs.push_back(engine_->GetITensor(arg_name)); | ||
| auto *var = block_desc.FindVar(arg_name); | ||
| PADDLE_ENFORCE_NOT_NULL( | ||
| var, | ||
| platform::errors::NotFound( | ||
| "There is no variable called %s in block.", arg_name.c_str())); | ||
| PADDLE_ENFORCE_EQ( | ||
| var->GetType(), | ||
| FluidDT::VarType_Type_LOD_TENSOR, | ||
| platform::errors::InvalidArgument("TensorRT engine only takes " | ||
| "LoDTensor as input")); | ||
| in_out_info.inputs_data_type.push_back(var->GetDataType()); | ||
| } | ||
| } | ||
|
|
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| std::vector<std::string> output_names; | ||
| for (auto ¶m_name : phi_kernel_signature.output_names) { | ||
| for (auto &arg_name : op_desc.Output(param_name)) { | ||
| output_names.push_back(arg_name); | ||
| auto *var = block_desc.FindVar(arg_name); | ||
| PADDLE_ENFORCE_NOT_NULL( | ||
| var, | ||
| platform::errors::NotFound( | ||
| "There is no variable called %s in block.", arg_name.c_str())); | ||
| PADDLE_ENFORCE_EQ( | ||
| var->GetType(), | ||
| FluidDT::VarType_Type_LOD_TENSOR, | ||
| platform::errors::InvalidArgument("TensorRT engine only takes " | ||
| "LoDTensor as input")); | ||
| in_out_info.outputs_data_type.push_back(var->GetDataType()); | ||
| } | ||
| } | ||
| plugin::GenericPlugin *plugin = new plugin::GenericPlugin(op, in_out_info); | ||
| layer = engine_->AddDynamicPlugin(inputs.data(), inputs.size(), plugin); | ||
|
|
||
| RreplenishLayerAndOutput(layer, op_desc.Type(), output_names, test_mode); | ||
| } | ||
| }; | ||
|
|
||
| } // namespace tensorrt | ||
| } // namespace inference | ||
| } // namespace paddle | ||
|
|
||
| REGISTER_TRT_OP_CONVERTER(custom_plugin_creater, CustomPluginCreater); | ||
| REGISTER_TRT_OP_CONVERTER(generic_plugin_creater, GenericPluginCreater); |
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