[NGraph] Enable transpose ngraph operator (#17636)
test=developdependabot/pip/python/requests-2.20.0
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/*Copyright (c) 2019 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 <functional>
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#include <memory>
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#include <string>
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#include <unordered_map>
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#include <vector>
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#include "ngraph/ngraph.hpp"
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#include "paddle/fluid/operators/ngraph/ops/op_bridge.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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template <bool is_v2>
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static void BuildTransposeNode(
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const std::shared_ptr<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 = platform::GetInputNode(op, "X", ngb_node_map);
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auto op_attrs = framework::AttrReader(op->Attrs());
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std::vector<int> axis = op_attrs.Get<std::vector<int>>("axis");
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auto input_shape = input->get_shape();
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ngraph::Shape x_reshape_shape;
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ngraph::AxisVector axis_vec;
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for (auto& v : axis) {
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axis_vec.push_back(v);
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x_reshape_shape.push_back(input_shape[v]);
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}
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std::shared_ptr<ngraph::Node> x_transpose =
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std::make_shared<ngraph::op::Reshape>(input, axis_vec, input_shape);
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x_transpose = platform::NgReshaper(x_transpose, x_reshape_shape);
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platform::SetOutputNode(op, "Out", x_transpose, ngb_node_map);
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if (is_v2) {
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platform::SetOutputNode(op, "XShape", input, ngb_node_map);
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}
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}
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template <bool is_v2>
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static void BuildTransposeGradNode(
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const std::shared_ptr<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 = platform::GetInputNode(op, "Out@GRAD", ngb_node_map);
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auto op_attrs = framework::AttrReader(op->Attrs());
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std::vector<int> axis = op_attrs.Get<std::vector<int>>("axis");
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ngraph::AxisVector axis_vec(axis.size());
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for (size_t i = 0; i < axis.size(); ++i) {
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axis_vec[axis.at(i)] = i;
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}
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ngraph::Shape out_shape;
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if (is_v2) {
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out_shape = platform::GetInputNode(op, "XShape", ngb_node_map)->get_shape();
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} else {
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out_shape = platform::GetInputNode(op, "X", ngb_node_map)->get_shape();
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}
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std::shared_ptr<ngraph::Node> x_transpose =
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std::make_shared<ngraph::op::Reshape>(input, axis_vec, out_shape);
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platform::SetOutputNode(op, "X@GRAD", x_transpose, 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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REGISTER_NG_OP(transpose, BuildTransposeNode<false>);
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REGISTER_NG_OP(transpose_grad, BuildTransposeGradNode<false>);
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REGISTER_NG_OP(transpose2, BuildTransposeNode<true>);
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REGISTER_NG_OP(transpose2_grad, BuildTransposeGradNode<true>);
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@ -0,0 +1,22 @@
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# Copyright (c) 2019 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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from __future__ import print_function
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import unittest, sys
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sys.path.append("../")
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from test_transpose_op import TestTransposeOp, TestCase0, TestCase1, TestCase2, TestCase3, TestCase4
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if __name__ == '__main__':
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unittest.main()
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