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70 lines
2.2 KiB
70 lines
2.2 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 "paddle/fluid/inference/tensorrt/convert/op_converter.h"
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#include <gtest/gtest.h> // NOLINT
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#include "paddle/fluid/framework/program_desc.h"
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namespace paddle {
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namespace inference {
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namespace tensorrt {
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TEST(OpConverter, ConvertBlock) {
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framework::ProgramDesc prog;
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auto* block = prog.MutableBlock(0);
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auto* conv2d_op = block->AppendOp();
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// init trt engine
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std::unique_ptr<TensorRTEngine> engine_;
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engine_.reset(new TensorRTEngine(5, 1 << 15));
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engine_->InitNetwork();
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engine_->DeclareInput("conv2d-X", nvinfer1::DataType::kFLOAT,
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nvinfer1::Dims3(2, 5, 5));
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conv2d_op->SetType("conv2d");
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conv2d_op->SetInput("Input", {"conv2d-X"});
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conv2d_op->SetInput("Filter", {"conv2d-Y"});
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conv2d_op->SetOutput("Output", {"conv2d-Out"});
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const std::vector<int> strides({1, 1});
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const std::vector<int> paddings({1, 1});
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const std::vector<int> dilations({1, 1});
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const int groups = 1;
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conv2d_op->SetAttr("strides", strides);
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conv2d_op->SetAttr("paddings", paddings);
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conv2d_op->SetAttr("dilations", dilations);
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conv2d_op->SetAttr("groups", groups);
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// init scope
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framework::Scope scope;
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std::vector<int> dim_vec = {3, 2, 3, 3};
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auto* x = scope.Var("conv2d-Y");
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auto* x_tensor = x->GetMutable<framework::LoDTensor>();
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x_tensor->Resize(framework::make_ddim(dim_vec));
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x_tensor->mutable_data<float>(platform::CUDAPlace(0));
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OpConverter converter;
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converter.ConvertBlock(*block->Proto(), {"conv2d-Y"}, scope,
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engine_.get() /*TensorRTEngine*/);
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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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USE_TRT_CONVERTER(conv2d)
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