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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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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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#pragma once
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#include <string>
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#include <vector>
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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 BuildSoftmaxNode(
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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 x_shape = x->get_shape();
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int rank = x_shape.size();
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auto x_2d_shape = paddle::platform::FlattenTo2d(x_shape, rank - 1);
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x = paddle::platform::NgReshaper(x, x_2d_shape);
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auto x_max = std::make_shared<ngraph::op::Max>(x, ngraph::AxisSet{1});
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auto x_max_bcast = std::make_shared<ngraph::op::Broadcast>(
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x_max, x_shape, ngraph::AxisSet{1});
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auto x_shifted = x - x_max_bcast;
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auto x_clipped =
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paddle::operators::ngraphs::ElementwiseScalar<ngraph::op::Maximum>(
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-64., x_shifted);
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auto softmax =
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std::make_shared<ngraph::op::Softmax>(x_clipped, ngraph::AxisSet{1});
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paddle::platform::SetOutputNode(op, "Out", softmax, ngb_node_map);
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}
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void BuildSoftmaxGradNode(
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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 out = paddle::platform::GetInputNode(op, "Out", ngb_node_map);
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auto dout = paddle::platform::GetInputNode(op, "Out@GRAD", ngb_node_map);
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auto out_shape = out->get_shape();
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int rank = out_shape.size();
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auto out_2d_shape = paddle::platform::FlattenTo2d(out_shape, rank - 1);
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auto dout_2d_shape =
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paddle::platform::FlattenTo2d(dout->get_shape(), rank - 1);
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out = paddle::platform::NgReshaper(out, out_2d_shape);
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dout = paddle::platform::NgReshaper(dout, dout_2d_shape);
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auto node_sum =
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std::make_shared<ngraph::op::Sum>(out * dout, ngraph::AxisSet{1});
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auto node_bcast = std::make_shared<ngraph::op::Broadcast>(
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node_sum, out_2d_shape, ngraph::AxisSet{1});
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auto dx = (dout - node_bcast) * out;
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paddle::platform::SetOutputNode(op, "X@GRAD", dx, 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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