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71 lines
2.6 KiB
71 lines
2.6 KiB
7 years ago
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/* Copyright (c) 2018 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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#ifdef PADDLE_WITH_CUDA
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#include "paddle/fluid/operators/tensorrt_engine_op.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/inference/tensorrt/convert/op_converter.h"
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#include "paddle/fluid/inference/utils/singleton.h"
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namespace paddle {
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namespace operators {
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template <typename DeviceContext, typename T>
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void paddle::operators::TensorRTEngineKernel<DeviceContext, T>::Prepare(
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const framework::ExecutionContext &context) const {
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// Get the ProgramDesc and pass to convert.
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const auto &block = context.Attr<framework::proto::BlockDesc>("subgraph");
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max_batch_ = context.Attr<int>("max_batch");
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auto max_workspace = context.Attr<int>("max_workspace");
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engine_.reset(new inference::tensorrt::TensorRTEngine(
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max_batch_, max_workspace, nullptr));
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inference::Singleton<inference::tensorrt::OpConverter>::Global().ConvertBlock(
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block, engine_.get());
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engine_->FreezeNetwork();
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}
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class TensorRTEngineOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("Xs", "A list of inputs.").AsDuplicable();
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AddOutput("Ys", "A list of outputs").AsDuplicable();
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AddAttr<std::string>("subgraph", "the subgraph");
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AddComment("TensorRT engine operator.");
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}
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};
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class TensorRTEngineInferVarType : public framework::VarTypeInference {
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public:
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void operator()(const framework::OpDesc &op_desc,
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framework::BlockDesc *block) const override {}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OPERATOR(tensorrt_engine, ops::TensorRTEngineOp,
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ops::TensorRTEngineOpMaker, ops::TensorRTEngineOpMaker);
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REGISTER_OP_CPU_KERNEL(
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tensorrt_engine,
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ops::TensorRTEngineKernel<paddle::platform::CPUDeviceContext, float>,
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ops::TensorRTEngineKernel<paddle::platform::CPUDeviceContext, double>,
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ops::TensorRTEngineKernel<paddle::platform::CPUDeviceContext, int>,
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ops::TensorRTEngineKernel<paddle::platform::CPUDeviceContext, int64_t>);
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#endif // PADDLE_WITH_CUDA
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