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65 lines
2.2 KiB
65 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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namespace paddle {
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namespace framework {
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class Scope;
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namespace proto {
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class OpDesc;
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} // namespace proto
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} // namespace framework
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} // namespace paddle
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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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* HardSigmoidOp, IActivationLayer in TRT. This Layer doesn't has weights.
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*/
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class HardSigmoidOpConverter : 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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#if IS_TRT_VERSION_GE(5130)
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VLOG(3) << "convert a fluid HardSigmoid op to tensorrt IActivationLayer "
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"layer without bias";
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framework::OpDesc op_desc(op, nullptr);
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// Declare inputs
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auto* input = engine_->GetITensor(op_desc.Input("X")[0]);
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float slope = BOOST_GET_CONST(float, op_desc.GetAttr("slope"));
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float offset = BOOST_GET_CONST(float, op_desc.GetAttr("offset"));
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auto* layer = TRT_ENGINE_ADD_LAYER(engine_, Activation, *input,
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nvinfer1::ActivationType::kHARD_SIGMOID);
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layer->setAlpha(slope);
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layer->setBeta(offset);
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auto output_name = op_desc.Output("Out")[0];
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RreplenishLayerAndOutput(layer, "hard_sigmoid", {output_name}, test_mode);
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#else
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PADDLE_THROW(platform::errors::Fatal(
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"Hard sigmoid TRT converter is only supported on TRT 5 or higher. "
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"Please confirm your TRT version is no less than 5.0."));
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#endif
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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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REGISTER_TRT_OP_CONVERTER(hard_sigmoid, HardSigmoidOpConverter);
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