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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.
*/
/*!
* \file np_norm_forward.cc
* \brief CPU registration of np.linalg.norm
*/
#include "./np_norm-inl.h"
namespace mxnet {
namespace op {
NNVM_REGISTER_OP(_npi_norm)
.describe(R"code()code" ADD_FILELINE)
.set_num_inputs(1)
.set_num_outputs(4)
.set_attr<nnvm::FNumVisibleOutputs>("FNumVisibleOutputs",
[](const NodeAttrs& attrs) { return 1; })
.set_attr_parser(ParamParser<NumpyNormParam>)
.set_attr<mxnet::FInferShape>("FInferShape", NumpyNormShape)
.set_attr<nnvm::FInferType>("FInferType", NumpyNormType)
.set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseInOut{"_backward_npi_norm"})
.set_attr<FResourceRequest>("FResourceRequest",
[](const NodeAttrs& attrs) {
return std::vector<ResourceRequest>{ResourceRequest::kTempSpace};
})
.set_attr<FCompute>("FCompute<cpu>", NumpyNormComputeForward<cpu>)
.add_argument("data", "NDArray-or-Symbol", "The input");
} // namespace op
} // namespace mxnet