nhzlx
7 years ago
parent
2372daff1d
commit
82527696e7
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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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#include "paddle/fluid/inference/tensorrt/convert/op_converter.h"
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namespace paddle {
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namespace inference {
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namespace tensorrt {
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/*
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* MulOp, IMatrixMultiplyLayer in TRT. This Layer doesn't has weights.
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*/
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class MulOpConverter : public OpConverter {
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public:
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void operator()(const framework::proto::OpDesc& op,
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const framework::Scope& scope, bool test_mode) override {
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VLOG(4) << "convert a fluid mul op to tensorrt mul layer without bias";
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framework::OpDesc op_desc(op, nullptr);
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// Declare inputs
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auto* input1 = engine_->GetITensor(op_desc.Input("X")[0]);
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auto* input2 = engine_->GetITensor(op_desc.Input("Y")[0]);
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// Both the input1 and input2 do not need transpose.
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auto* layer = TRT_ENGINE_ADD_LAYER(
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engine_, MatrixMultiply, *const_cast<nvinfer1::ITensor*>(input1), false,
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*const_cast<nvinfer1::ITensor*>(input2), false);
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auto output_name = op_desc.Output("Out")[0];
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engine_->SetITensor(output_name, layer->getOutput(0));
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if (test_mode) { // the test framework can not determine which is the
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// output, so place the declaration inside.
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engine_->DeclareOutput(output_name);
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}
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}
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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_OP(mul);
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REGISTER_TRT_OP_CONVERTER(mul, MulOpConverter);
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@ -1,49 +0,0 @@
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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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#include <gtest/gtest.h>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/inference/tensorrt/convert/ut_helper.h"
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namespace paddle {
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namespace inference {
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namespace tensorrt {
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TEST(MulOpConverter, main) {
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framework::Scope scope;
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std::unordered_set<std::string> parameters;
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TRTConvertValidation validator(10, parameters, scope, 1000);
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validator.DeclInputVar("mul-X", nvinfer1::Dims2(10, 6));
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validator.DeclInputVar("mul-Y", nvinfer1::Dims2(6, 10));
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validator.DeclOutputVar("mul-Out", nvinfer1::Dims2(10, 10));
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// Prepare Op description
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framework::OpDesc desc;
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desc.SetType("mul");
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desc.SetInput("X", {"mul-X"});
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desc.SetInput("Y", {"mul-Y"});
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desc.SetOutput("Out", {"mul-Out"});
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LOG(INFO) << "set OP";
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validator.SetOp(*desc.Proto());
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LOG(INFO) << "execute";
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validator.Execute(10);
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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_OP(mul);
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