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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_potrf.cc
* \brief CPU implementation placeholder of Cholesky Operator
*/
#include <mxnet/operator_util.h>
#include <vector>
#include "./np_potrf-inl.h"
#include "../../mshadow_op.h"
#include "../../mxnet_op.h"
#include "../../operator_common.h"
#include "../../elemwise_op_common.h"
namespace mxnet {
namespace op {
inline bool NumpyLaCholeskyShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector* in_attrs,
mxnet::ShapeVector* out_attrs) {
const mxnet::TShape& in_shape = (*in_attrs)[0];
CHECK_GE(in_shape.ndim(), 2)
<< "Array must be at least two-dimensional";
return ElemwiseShape<1, 1>(attrs, in_attrs, out_attrs);
}
// calls forward and backward implemented in la_op
NNVM_REGISTER_OP(_npi_cholesky)
.describe(R"code()code" ADD_FILELINE)
.set_num_inputs(1)
.set_num_outputs(1)
.set_attr_parser(ParamParser<LaCholeskyParam>)
.set_attr<nnvm::FListInputNames>("FListInputNames", [](const NodeAttrs& attrs)
{ return std::vector<std::string>{"A"}; } )
.set_attr<mxnet::FInferShape>("FInferShape", NumpyLaCholeskyShape)
.set_attr<nnvm::FInferType>("FInferType", ElemwiseType<1, 1>)
.set_attr<nnvm::FInplaceOption>("FInplaceOption", [](const NodeAttrs& attrs)
{ return std::vector<std::pair<int, int>>{{0, 0}}; })
.set_attr<FCompute>("FCompute<cpu>", LaOpForward<cpu, 2, 2, 1, 1, potrf>)
.set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseOut{"_backward_linalg_potrf"})
.add_argument("A", "NDArray-or-Symbol", "Tensor of input matrices to be decomposed")
.add_arguments(LaCholeskyParam::__FIELDS__());
} // namespace op
} // namespace mxnet