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95 lines
2.7 KiB
95 lines
2.7 KiB
/* 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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#include <gtest/gtest.h>
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/program_desc.h"
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#include "paddle/fluid/inference/tensorrt/convert/op_converter.h"
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#include "paddle/fluid/platform/device_context.h"
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#include "paddle/fluid/platform/place.h"
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USE_OP(relu);
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namespace paddle {
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namespace inference {
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namespace tensorrt {
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void Compare(float input, float expect) {
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framework::Scope scope;
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platform::CUDAPlace place;
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platform::CUDADeviceContext ctx(place);
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// init fluid op and variable
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auto x_var = scope.Var("X");
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auto x_tensor = x_var->GetMutable<framework::LoDTensor>();
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x_tensor->Resize({1, 1});
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std::vector<float> init;
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init.push_back(input);
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framework::TensorFromVector(init, ctx, x_tensor);
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auto out_var = scope.Var("Out");
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auto out_tensor = out_var->GetMutable<framework::LoDTensor>();
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out_tensor->Resize({1, 1});
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out_tensor->mutable_data<float>(place);
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framework::OpDesc op_desc;
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op_desc.SetType("relu");
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op_desc.SetInput("X", {"X"});
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op_desc.SetOutput("Out", {"Out"});
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auto relu_op = framework::OpRegistry::CreateOp(op_desc);
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// run fluid op
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relu_op->Run(scope, place);
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std::vector<float> out1;
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framework::TensorToVector(*out_tensor, ctx, &out1);
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// init tensorrt op
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cudaStream_t stream;
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ASSERT_EQ(0, cudaStreamCreate(&stream));
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TensorRTEngine* engine = new TensorRTEngine(1, 1 << 10, &stream);
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engine->InitNetwork();
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engine->DeclareInput("X", nvinfer1::DataType::kFLOAT,
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nvinfer1::DimsCHW{1, 1, 1});
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OpConverter op_converter;
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op_converter.ConvertOp(op_desc, engine);
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engine->DeclareOutput("Out");
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engine->FreezeNetwork();
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engine->SetInputFromCPU("X", &input, 1 * sizeof(float));
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// run tensorrt op
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engine->Execute(1);
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float out2;
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engine->GetOutputInCPU("Out", &out2, 1 * sizeof(float));
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ASSERT_EQ(out1[0], out2);
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ASSERT_EQ(out1[0], expect);
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delete engine;
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cudaStreamDestroy(stream);
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}
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TEST(OpConverter, ConvertRelu) {
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Compare(1, 1); // relu(1) = 1
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Compare(-5, 0); // relu(-5) = 0
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}
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} // namespace tensorrt
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} // namespace inference
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} // namespace paddle
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