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Paddle/paddle/fluid/inference/anakin/convert/elementwise.cc

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// 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/anakin/convert/elementwise.h"
#include <algorithm>
#include <string>
#include <vector>
using anakin::graph::GraphGlobalMem;
using anakin::AK_FLOAT;
using anakin::Precision;
using anakin::saber::NV;
using anakin::saber::X86;
using anakin::saber::Shape;
using anakin::PBlock;
using anakin::PTuple;
namespace paddle {
namespace inference {
namespace anakin {
void ElementwiseAddOpConverter::operator()(const framework::proto::OpDesc &op,
const framework::Scope &scope,
bool test_mode) {
framework::OpDesc op_desc(op, nullptr);
PADDLE_ENFORCE_EQ(op_desc.Input("X").size(), 1);
PADDLE_ENFORCE_EQ(op_desc.Input("Y").size(), 1); // Y is a weight
PADDLE_ENFORCE_EQ(op_desc.Output("Out").size(), 1);
auto x_name = op_desc.Input("X").front();
auto y_name = op_desc.Input("Y").front();
auto out_name = op_desc.Output("Out").front();
auto op_name = op_desc.Type() + ":" + op_desc.Output("Out").front();
engine_->AddOp(op_name, "Eltwise", {x_name, y_name}, {out_name});
std::string elementwise_type = "Add";
engine_->AddOpAttr<std::string>(op_name, "type", elementwise_type);
std::vector<float> coeff = {1.0, 1.0};
engine_->AddOpAttr<PTuple<float>>(op_name, "coeff", coeff);
}
} // namespace anakin
} // namespace inference
} // namespace paddle
REGISTER_ANAKIN_OP_CONVERTER(elementwise_add, ElementwiseAddOpConverter);