wehub-resource-sync
54 lines
1.8 KiB
C++
54 lines
1.8 KiB
C++
/* Copyright (c) 2021 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 "paddle/fluid/inference/tensorrt/plugin/mish_op_plugin.h"
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namespace paddle::inference::tensorrt {
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/*
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* Mish OP
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*/
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class MishOpConverter : 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,
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bool test_mode) override {
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VLOG(4) << "convert mish op to tensorrt mish plugin";
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framework::OpDesc op_desc(op, nullptr);
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// Declare inputs
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int input_num = op_desc.Input("X").size();
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auto* input = engine_->GetITensor(op_desc.Input("X")[0]);
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const float threshold =
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op_desc.HasAttr("threshold")
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? PADDLE_GET_CONST(float, op_desc.GetAttr("threshold"))
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: 20.0f;
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nvinfer1::ILayer* layer = nullptr;
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bool with_fp16 = engine_->WithFp16() && !engine_->disable_trt_plugin_fp16();
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plugin::MishPluginDynamic* plugin =
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new plugin::MishPluginDynamic(threshold, with_fp16);
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layer = engine_->AddDynamicPlugin(&input, input_num, plugin);
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auto output_name = op_desc.Output("Out")[0];
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ReplenishLayerAndOutput(layer, "mish", {output_name}, test_mode);
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}
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};
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} // namespace paddle::inference::tensorrt
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REGISTER_TRT_OP_CONVERTER(mish, MishOpConverter);
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