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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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.
*/
/*!
* Copyright (c) 2019 by Contributors
* \file np_memory_op.cc
*/
#include "./np_memory_op.h"
namespace mxnet {
namespace op {
inline bool NumpyShareMemoryType(const nnvm::NodeAttrs& attrs,
std::vector<int> *in_attrs,
std::vector<int> *out_attrs) {
CHECK_EQ(in_attrs->size(), 2U);
CHECK_EQ(out_attrs->size(), 1U);
TYPE_ASSIGN_CHECK(*out_attrs, 0, mshadow::kBool);
return out_attrs->at(0) != -1;
}
inline bool NumpyShareMemoryShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector *in_attrs,
mxnet::ShapeVector *out_attrs) {
CHECK_EQ(in_attrs->size(), 2U);
CHECK_EQ(out_attrs->size(), 1U);
SHAPE_ASSIGN_CHECK(*out_attrs, 0, mxnet::TShape(0, -1));
return true;
}
NNVM_REGISTER_OP(_npi_share_memory)
.set_num_inputs(2)
.set_num_outputs(1)
.set_attr<nnvm::FListInputNames>("FListInputNames",
[](const NodeAttrs& attrs) {
return std::vector<std::string>{"a", "b"};
})
.set_attr<mxnet::FInferShape>("FInferShape", NumpyShareMemoryShape)
.set_attr<nnvm::FInferType>("FInferType", NumpyShareMemoryType)
.set_attr<FCompute>("FCompute<cpu>", NumpyShareMemoryCompute<cpu>)
.add_argument("a", "NDArray-or-Symbol", "First input")
.add_argument("b", "NDArray-or-Symbol", "Second input");
} // namespace op
} // namespace mxnet