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69 lines
2.5 KiB
69 lines
2.5 KiB
/*Copyright (c) 2018 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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#ifdef PADDLE_WITH_NGRAPH
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#pragma once
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#include <functional>
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#include <string>
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#include "ngraph/ngraph.hpp"
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#include "paddle/fluid/operators/ngraph/ops/elementwise_scalar_op.h"
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#include "paddle/fluid/platform/ngraph_helper.h"
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namespace paddle {
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namespace operators {
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namespace ngraphs {
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void BuildMeanNode(
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const std::shared_ptr<paddle::framework::OperatorBase>& op,
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std::shared_ptr<
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std::unordered_map<std::string, std::shared_ptr<ngraph::Node>>>
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ngb_node_map) {
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auto input = paddle::platform::GetInputNode(op, "X", ngb_node_map);
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ngraph::AxisSet axes;
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for (size_t i = 0; i < input->get_shape().size(); ++i) {
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axes.insert(i);
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}
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auto mean = ngraph::builder::mean(input, axes);
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auto mean_1d = std::make_shared<ngraph::op::Reshape>(
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mean, ngraph::AxisVector{}, ngraph::Shape{1});
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paddle::platform::SetOutputNode(op, "Out", mean_1d, ngb_node_map);
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}
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void BuildMeanGradNode(
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const std::shared_ptr<paddle::framework::OperatorBase>& op,
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std::shared_ptr<
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std::unordered_map<std::string, std::shared_ptr<ngraph::Node>>>
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ngb_node_map) {
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auto x = paddle::platform::GetInputNode(op, "X", ngb_node_map);
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auto og = paddle::platform::GetInputNode(op, "Out@GRAD", ngb_node_map);
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auto x_shape = x->get_shape();
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float x_size = std::accumulate(std::begin(x_shape), std::end(x_shape), 1,
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std::multiplies<float>());
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auto node_const = ngraph::op::Constant::create(og->get_element_type(),
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ngraph::Shape{1}, {x_size});
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auto node_div = std::make_shared<ngraph::op::Divide>(og, node_const);
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auto result = ElementwiseScalar<ngraph::op::Add>(
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og / node_const,
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ngraph::op::Constant::create(og->get_element_type(), x_shape, {0}));
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paddle::platform::SetOutputNode(op, "X@GRAD", result, ngb_node_map);
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}
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} // namespace ngraphs
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} // namespace operators
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} // namespace paddle
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#endif
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