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.
85 lines
2.9 KiB
85 lines
2.9 KiB
/* 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 nvinfer1 {
|
|
class ILayer;
|
|
} // namespace nvinfer1
|
|
namespace paddle {
|
|
namespace framework {
|
|
class Scope;
|
|
namespace proto {
|
|
class OpDesc;
|
|
} // namespace proto
|
|
} // namespace framework
|
|
} // namespace paddle
|
|
|
|
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_EQ(input_num, 1,
|
|
platform::errors::InvalidArgument(
|
|
"The input X's size must equal to 1 in TRT swish op."
|
|
" But received X's size %d.",
|
|
input_num));
|
|
auto* input = engine_->GetITensor(op_desc.Input("X")[0]);
|
|
// Get output
|
|
size_t output_num = op_desc.Output("Out").size();
|
|
PADDLE_ENFORCE_EQ(
|
|
output_num, 1UL,
|
|
platform::errors::InvalidArgument(
|
|
"The ouput Out's size must equal to 1 in TRT swish op. "
|
|
"But received Out's size %u.",
|
|
output_num));
|
|
// Get attrs
|
|
float beta = BOOST_GET_CONST(float, op_desc.GetAttr("beta"));
|
|
|
|
nvinfer1::ILayer* layer = nullptr;
|
|
if (engine_->with_dynamic_shape()) {
|
|
#if IS_TRT_VERSION_GE(6000)
|
|
plugin::SwishPluginDynamic* plugin = new plugin::SwishPluginDynamic(beta);
|
|
layer = engine_->AddPluginV2(&input, input_num, plugin);
|
|
#else
|
|
PADDLE_THROW(platform::errors::Fatal(
|
|
"You are running the TRT Dynamic Shape mode, need to confirm that "
|
|
"your TRT version is no less than 6.0"));
|
|
#endif
|
|
} else {
|
|
plugin::SwishPlugin* plugin = new plugin::SwishPlugin(beta);
|
|
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);
|