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118 lines
4.0 KiB
118 lines
4.0 KiB
/*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 <algorithm>
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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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ngraph::Shape calc_output_shape(const ngraph::Shape& input_shape,
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const std::vector<int>& v_shape) {
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auto out_shape = v_shape;
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for (size_t i = 0; i < v_shape.size(); ++i) {
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if (v_shape[i] == 0) {
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out_shape[i] = input_shape[i];
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}
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}
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int size_input = ngraph::shape_size(input_shape);
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int size_out = 1;
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for (auto o : out_shape) {
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if (o > 0) size_out *= o;
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}
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for (auto& o : out_shape) {
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if (o == -1) o = size_input / size_out;
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}
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return ngraph::Shape(out_shape.begin(), out_shape.end());
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}
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template <bool is_v2>
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static void BuildReshapeNode(
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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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std::shared_ptr<ngraph::Node> input =
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platform::GetInputNode(op, "X", ngb_node_map);
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auto input_shape = input->get_shape();
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// TODO(mozga-intel) The vector of shape is not supported yet, that's
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// asDispensable() operator"
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std::shared_ptr<ngraph::Node> shape =
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platform::GetInputNode(op, "Shape", ngb_node_map);
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auto op_attrs = framework::AttrReader(op->Attrs());
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std::vector<int> v_shape = op_attrs.Get<std::vector<int>>("shape");
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auto out = input;
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if (shape != nullptr) {
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ngraph::Shape new_shape;
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for (auto& it : shape->get_shape()) {
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new_shape.push_back(it);
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}
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out = platform::NgReshaper(input, shape->get_shape());
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} else {
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auto out_shape = calc_output_shape(input_shape, v_shape);
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out = platform::NgReshaper(input, out_shape);
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}
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if (is_v2) {
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ngraph::Shape input_xshape(input_shape.size() + 1);
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input_xshape[0] = 0;
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std::copy(input_shape.begin(), input_shape.end(), input_xshape.begin() + 1);
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auto xshape_node = std::make_shared<ngraph::op::Constant>(
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input->get_element_type(), input_xshape, std::vector<std::string>{});
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platform::SetOutputNode(op, "XShape", xshape_node, ngb_node_map);
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}
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platform::SetOutputNode(op, "Out", out, ngb_node_map);
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}
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template <bool is_v2>
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void BuildReshapeGradNode(
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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 dout = paddle::platform::GetInputNode(op, "Out@GRAD", ngb_node_map);
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ngraph::Shape out_shape;
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if (is_v2) {
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auto& xshape =
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platform::GetInputNode(op, "XShape", ngb_node_map)->get_shape();
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out_shape.resize(xshape.size() - 1);
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std::copy(xshape.begin() + 1, xshape.end(), out_shape.begin());
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} else {
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auto input = paddle::platform::GetInputNode(op, "X", ngb_node_map);
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out_shape = input->get_shape();
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}
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auto dx = platform::NgReshaper(dout, out_shape);
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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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REGISTER_NG_OP(reshape, BuildReshapeNode<false>);
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REGISTER_NG_OP(reshape2, BuildReshapeNode<true>);
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REGISTER_NG_OP(reshape_grad, BuildReshapeGradNode<false>);
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REGISTER_NG_OP(reshape2_grad, BuildReshapeGradNode<true>);
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