提交 7611208a 编写于 作者: B baojun 提交者: tensor-tang

[NGraph] added gather_grad to ngraph test=develop (#17646)

上级 557452e7
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. /* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License"); Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License. you may not use this file except in compliance with the License.
...@@ -33,33 +33,30 @@ void BuildGatherNode( ...@@ -33,33 +33,30 @@ void BuildGatherNode(
std::unordered_map<std::string, std::shared_ptr<ngraph::Node>>> std::unordered_map<std::string, std::shared_ptr<ngraph::Node>>>
ngb_node_map) { ngb_node_map) {
auto x = platform::GetInputNode(op, "X", ngb_node_map); auto x = platform::GetInputNode(op, "X", ngb_node_map);
PADDLE_ENFORCE_NOT_NULL(x);
auto index = platform::GetInputNode(op, "Index", ngb_node_map); auto index = platform::GetInputNode(op, "Index", ngb_node_map);
auto x_shape = x->get_shape(); auto out = std::make_shared<ngraph::op::Gather>(x, index);
size_t axis_1 = x_shape[0];
size_t axis_2 = 1;
if (x_shape.size() > 1) {
axis_2 = std::accumulate(std::begin(x_shape) + 1, std::end(x_shape), 1,
std::multiplies<size_t>());
}
std::vector<size_t> x_order(x_shape.size());
std::iota(std::begin(x_order), std::end(x_order), 0);
auto x_reshape = std::make_shared<ngraph::op::Reshape>(
x, ngraph::AxisVector(x_order), ngraph::Shape{axis_1, axis_2});
auto x_reshape_shape = x_reshape->get_shape();
auto result = std::make_shared<ngraph::op::EmbeddingLookup>(index, x_reshape);
auto result_shape = result->get_shape();
std::vector<size_t> out_shape(x_shape);
out_shape[0] = result_shape[0];
std::vector<size_t> axis_vector;
for (size_t i = 0; i < result_shape.size(); i++) {
axis_vector.push_back(i);
}
auto out = std::make_shared<ngraph::op::Reshape>(
result, ngraph::AxisVector(axis_vector), out_shape);
paddle::platform::SetOutputNode(op, "Out", out, ngb_node_map); paddle::platform::SetOutputNode(op, "Out", out, ngb_node_map);
} }
void BuildGatherGradNode(
const std::shared_ptr<paddle::framework::OperatorBase>& op,
std::shared_ptr<
std::unordered_map<std::string, std::shared_ptr<ngraph::Node>>>
ngb_node_map) {
auto dout = platform::GetInputNode(op, "Out@GRAD", ngb_node_map);
PADDLE_ENFORCE_NOT_NULL(dout);
auto x = platform::GetInputNode(op, "X", ngb_node_map);
auto index = platform::GetInputNode(op, "Index", ngb_node_map);
std::shared_ptr<ngraph::Node> x0 = paddle::platform::CreateConstant(
dout->get_element_type(), x->get_shape(), {0});
auto dx = std::make_shared<ngraph::op::ScatterAdd>(x0, index, dout);
paddle::platform::SetOutputNode(op, "X@GRAD", dx, ngb_node_map);
}
} // namespace ngraphs } // namespace ngraphs
} // namespace operators } // namespace operators
} // namespace paddle } // namespace paddle
REGISTER_NG_OP(gather, BuildGatherNode); REGISTER_NG_OP(gather, BuildGatherNode);
REGISTER_NG_OP(gather_grad, BuildGatherGradNode);
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