未验证 提交 05d1121b 编写于 作者: T tensor-tang 提交者: GitHub

Merge pull request #14802 from mozga-intel/mozga-intel/fill_constant_operator_ngraph

Enable fill_constant operator for a ngraph engine
......@@ -31,6 +31,7 @@ std::map<std::string,
std::shared_ptr<std::unordered_map<
std::string, std::shared_ptr<ngraph::Node>>>)>>
NgraphBridge::NG_NODE_MAP = {
{"fill_constant", paddle::operators::ngraphs::BuildFillConstantNode},
{"mul", paddle::operators::ngraphs::BuildMulNode},
{"mul_grad", paddle::operators::ngraphs::BuildMulGradNode},
{"relu", paddle::operators::ngraphs::BuildUnaryNode<ngraph::op::Relu>},
......
......@@ -22,5 +22,6 @@ limitations under the License. */
#pragma once
#include "ops/binary_unnary_op.h"
#include "ops/fill_constant_op.h"
#include "ops/mul_op.h"
#include "ops/top_k_op.h"
......@@ -45,7 +45,6 @@ static void BuildUnaryNode(
auto out = std::make_shared<T>(input);
paddle::platform::SetOutputNode(op, "Out", out, 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. */
#ifdef PADDLE_WITH_NGRAPH
#pragma once
#include <string>
#include <vector>
#include "ngraph/ngraph.hpp"
#include "paddle/fluid/platform/ngraph_helper.h"
namespace paddle {
namespace operators {
namespace ngraphs {
void BuildFillConstantNode(
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 op_attrs = paddle::framework::AttrReader(op->Attrs());
auto vsp = op_attrs.Get<std::vector<int64_t>>("shape");
ngraph::Shape shape;
for (auto& sp : vsp) {
shape.push_back(sp);
}
float value = op_attrs.Get<float>("value");
ngraph::element::Type ng_dtype;
auto data_type = static_cast<paddle::framework::proto::VarType::Type>(
op_attrs.Get<int>("dtype"));
if (data_type == paddle::framework::proto::VarType::FP32) {
ng_dtype = ngraph::element::f32;
} else if (data_type == paddle::framework::proto::VarType::FP64) {
ng_dtype = ngraph::element::f64;
} else if (data_type == paddle::framework::proto::VarType::INT64) {
ng_dtype = ngraph::element::i64;
} else if (data_type == paddle::framework::proto::VarType::INT32) {
ng_dtype = ngraph::element::i32;
} else if (data_type == paddle::framework::proto::VarType::BOOL) {
ng_dtype = ngraph::element::boolean;
} else {
PADDLE_THROW("unsupported data type: %s", data_type);
}
auto out = ngraph::op::Constant::create(ng_dtype, shape, {value});
paddle::platform::SetOutputNode(op, "Out", out, ngb_node_map);
}
} // namespace ngraphs
} // namespace operators
} // namespace paddle
#endif
# 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_fill_constant_op import TestFillConstantOp1, TestFillConstantOp2, TestFillConstantOpWithSelectedRows
class TestNGRAPHFillConstantOp1(TestFillConstantOp1):
def setUp(self):
super(TestNGRAPHFillConstantOp1, self).setUp()
class TestNGRAPHFillConstantOp2(TestFillConstantOp2):
def setUp(self):
super(TestNGRAPHFillConstantOp2, self).setUp()
class TestNGRAPHFillConstantOpWithSelectedRows(
TestFillConstantOpWithSelectedRows):
def setUp(self):
super(TestFillConstantOpWithSelectedRows, self).setUp()
if __name__ == "__main__":
unittest.main()
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