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75 lines
2.8 KiB
75 lines
2.8 KiB
// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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/anakin/convert/pool2d.h"
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#include <algorithm>
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#include <string>
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#include <vector>
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using anakin::PTuple;
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namespace paddle {
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namespace inference {
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namespace anakin {
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template <typename TargetT, ::anakin::Precision PrecisionT>
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void Pool2dOpConverter<TargetT, PrecisionT>::operator()(
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const framework::proto::OpDesc &op, const framework::BlockDesc &block_desc,
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const framework::Scope &scope, bool test_mode) {
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framework::OpDesc op_desc(op, nullptr);
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PADDLE_ENFORCE_EQ(op_desc.Input("X").size(), 1);
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PADDLE_ENFORCE_EQ(op_desc.Output("Out").size(), 1);
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auto x_name = op_desc.Input("X").front();
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auto y_name = op_desc.Output("Out").front();
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auto op_name = op_desc.Type() + ":" + op_desc.Output("Out").front();
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bool global_pooling = boost::get<bool>(op_desc.GetAttr("global_pooling"));
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std::string pool_type =
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boost::get<std::string>(op_desc.GetAttr("pooling_type"));
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std::vector<int> ksize =
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boost::get<std::vector<int>>(op_desc.GetAttr("ksize"));
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std::vector<int> strides =
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boost::get<std::vector<int>>(op_desc.GetAttr("strides"));
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std::vector<int> paddings =
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boost::get<std::vector<int>>(op_desc.GetAttr("paddings"));
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bool ceil_mode = boost::get<bool>(op_desc.GetAttr("ceil_mode"));
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std::string anakin_pool_type;
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if (pool_type == "max") {
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anakin_pool_type = "MAX";
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} else if (pool_type == "avg") {
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if (paddings[0] || paddings[1]) {
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anakin_pool_type = "AVGEXC";
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} else {
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anakin_pool_type = "AVG";
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}
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} else {
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PADDLE_THROW("TensorRT unsupported pooling type!");
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}
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this->engine_->AddOp(op_name, "Pooling", {x_name}, {y_name});
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this->engine_->template AddOpAttr<PTuple<int>>(op_name, "pool_size", ksize);
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this->engine_->template AddOpAttr<PTuple<int>>(op_name, "strides", strides);
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this->engine_->template AddOpAttr<PTuple<int>>(op_name, "padding", paddings);
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this->engine_->AddOpAttr(op_name, "method", anakin_pool_type);
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this->engine_->AddOpAttr(op_name, "global_pooling", global_pooling);
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this->engine_->AddOpAttr(op_name, "cmp_out_shape_floor_as_conv", !ceil_mode);
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}
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} // namespace anakin
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} // namespace inference
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} // namespace paddle
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REGISTER_ANAKIN_OP_CONVERTER(pool2d, Pool2dOpConverter);
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