提交 cba72940 编写于 作者: M mozga-intel

Enable softmax operator for a ngraph engine

test=develop
上级 a7fc3d42
......@@ -36,6 +36,8 @@ std::map<std::string,
{"mean_grad", paddle::operators::ngraphs::BuildMeanGradNode},
{"mul", paddle::operators::ngraphs::BuildMulNode},
{"mul_grad", paddle::operators::ngraphs::BuildMulGradNode},
{"softmax", paddle::operators::ngraphs::BuildSoftmaxNode},
{"softmax_grad", paddle::operators::ngraphs::BuildSoftmaxGradNode},
{"scale", paddle::operators::ngraphs::BuildScaleNode},
{"relu", paddle::operators::ngraphs::BuildUnaryNode<ngraph::op::Relu>},
{"tanh", paddle::operators::ngraphs::BuildUnaryNode<ngraph::op::Tanh>},
......
......@@ -26,4 +26,5 @@ limitations under the License. */
#include "ops/mean_op.h"
#include "ops/mul_op.h"
#include "ops/scale_op.h"
#include "ops/softmax_op.h"
#include "ops/top_k_op.h"
/*Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#pragma once
#include <string>
#include <vector>
#include "ngraph/ngraph.hpp"
#include "paddle/fluid/operators/ngraph/ops/elementwise_scalar_op.h"
#include "paddle/fluid/platform/ngraph_helper.h"
namespace paddle {
namespace operators {
namespace ngraphs {
void BuildSoftmaxNode(
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 x = paddle::platform::GetInputNode(op, "X", ngb_node_map);
auto x_shape = x->get_shape();
int rank = x_shape.size();
auto x_2d_shape = paddle::platform::FlattenTo2d(x_shape, rank - 1);
x = paddle::platform::NgReshaper(x, x_2d_shape);
auto x_max = std::make_shared<ngraph::op::Max>(x, ngraph::AxisSet{1});
auto x_max_bcast = std::make_shared<ngraph::op::Broadcast>(
x_max, x_shape, ngraph::AxisSet{1});
auto x_shifted = x - x_max_bcast;
auto x_clipped =
paddle::operators::ngraphs::ElementwiseScalar<ngraph::op::Maximum>(
-64., x_shifted);
auto softmax =
std::make_shared<ngraph::op::Softmax>(x_clipped, ngraph::AxisSet{1});
paddle::platform::SetOutputNode(op, "Out", softmax, ngb_node_map);
}
void BuildSoftmaxGradNode(
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 out = paddle::platform::GetInputNode(op, "Out", ngb_node_map);
auto dout = paddle::platform::GetInputNode(op, "Out@GRAD", ngb_node_map);
auto out_shape = out->get_shape();
int rank = out_shape.size();
auto out_2d_shape = paddle::platform::FlattenTo2d(out_shape, rank - 1);
auto dout_2d_shape =
paddle::platform::FlattenTo2d(dout->get_shape(), rank - 1);
out = paddle::platform::NgReshaper(out, out_2d_shape);
dout = paddle::platform::NgReshaper(dout, dout_2d_shape);
auto node_sum =
std::make_shared<ngraph::op::Sum>(out * dout, ngraph::AxisSet{1});
auto node_bcast = std::make_shared<ngraph::op::Broadcast>(
node_sum, out_2d_shape, ngraph::AxisSet{1});
auto dx = (dout - node_bcast) * out;
paddle::platform::SetOutputNode(op, "X@GRAD", dx, ngb_node_map);
}
} // namespace ngraphs
} // namespace operators
} // namespace paddle
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import print_function
import unittest
from paddle.fluid.tests.unittests.test_softmax_op import TestSoftmaxOp
class TestSoftmaxNGRAPHOp(TestSoftmaxOp):
def setUp(self):
super(TestSoftmaxNGRAPHOp, self).setUp()
if __name__ == "__main__":
unittest.main()
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