You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
54 lines
1.8 KiB
54 lines
1.8 KiB
6 years ago
|
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
|
||
|
|
||
|
Licensed under the Apache License, Version 2.0 (the "License");
|
||
|
you may not use this file except in compliance with the License.
|
||
|
You may obtain a copy of the License at
|
||
|
|
||
|
http://www.apache.org/licenses/LICENSE-2.0
|
||
|
|
||
|
Unless required by applicable law or agreed to in writing, software
|
||
|
distributed under the License is distributed on an "AS IS" BASIS,
|
||
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||
|
See the License for the specific language governing permissions and
|
||
|
limitations under the License. */
|
||
|
|
||
|
#include "paddle/fluid/inference/tensorrt/convert/op_converter.h"
|
||
|
#include "paddle/fluid/inference/tensorrt/plugin/swish_op_plugin.h"
|
||
|
|
||
|
namespace paddle {
|
||
|
namespace inference {
|
||
|
namespace tensorrt {
|
||
|
|
||
|
class SwishOpConverter : public OpConverter {
|
||
|
public:
|
||
|
void operator()(const framework::proto::OpDesc& op,
|
||
|
const framework::Scope& scope, bool test_mode) override {
|
||
|
VLOG(4) << "convert fluid swish op to tensorrt layer";
|
||
|
|
||
|
framework::OpDesc op_desc(op, nullptr);
|
||
|
// Declare inputs
|
||
|
int input_num = op_desc.Input("X").size();
|
||
|
PADDLE_ENFORCE(input_num == 1);
|
||
|
auto* input = engine_->GetITensor(op_desc.Input("X")[0]);
|
||
|
// Get output
|
||
|
size_t output_num = op_desc.Output("Out").size();
|
||
|
PADDLE_ENFORCE(output_num == 1);
|
||
|
// Get attrs
|
||
|
float beta = boost::get<float>(op_desc.GetAttr("beta"));
|
||
|
|
||
|
plugin::SwishPlugin* plugin = new plugin::SwishPlugin(beta);
|
||
|
|
||
|
nvinfer1::IPluginLayer* layer =
|
||
|
engine_->AddPlugin(&input, input_num, plugin);
|
||
|
|
||
|
auto output_name = op_desc.Output("Out")[0];
|
||
|
RreplenishLayerAndOutput(layer, "swish", {output_name}, test_mode);
|
||
|
}
|
||
|
};
|
||
|
|
||
|
} // namespace tensorrt
|
||
|
} // namespace inference
|
||
|
} // namespace paddle
|
||
|
|
||
|
REGISTER_TRT_OP_CONVERTER(swish, SwishOpConverter);
|