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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 allclose_op.cc
* \brief CPU Implementation of allclose op
* \author Andrei Ivanov
*/
#include "./allclose_op-inl.h"
namespace mxnet {
namespace op {
DMLC_REGISTER_PARAMETER(AllCloseParam);
NNVM_REGISTER_OP(_contrib_allclose)
.describe(
R"code(This operators implements the numpy.allclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False)
.. math::
f(x) = |a-b|<=atol+rtol|b|
where
:math:`a, b` are the input tensors of equal types an shapes
:math:`atol, rtol` the values of absolute and relative tolerance (by default, rtol=1e-05, atol=1e-08)
Examples::
a = [1e10, 1e-7],
b = [1.00001e10, 1e-8]
y = allclose(a, b)
y = False
a = [1e10, 1e-8],
b = [1.00001e10, 1e-9]
y = allclose(a, b)
y = True
)code" ADD_FILELINE)
.set_attr_parser(ParamParser<AllCloseParam>)
.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", AllCloseShape)
.set_attr<nnvm::FInferType>("FInferType", AllCloseType)
.set_attr<FCompute>("FCompute<cpu>", AllClose<cpu>)
.set_attr<FResourceRequest>("FResourceRequest",
[](const NodeAttrs& n) {
return std::vector<ResourceRequest>{ResourceRequest::kTempSpace};
})
.add_argument("a", "NDArray-or-Symbol", "Input array a")
.add_argument("b", "NDArray-or-Symbol", "Input array b")
.add_arguments(AllCloseParam::__FIELDS__());
template <>
size_t GetAdditionalMemoryLogical<cpu>(mshadow::Stream<cpu>* s, const int num_items) {
return 0;
}
template <>
void GetResultLogical<cpu>(mshadow::Stream<cpu>* s,
INTERM_DATA_TYPE* workMem,
size_t extraStorageBytes,
int num_items,
INTERM_DATA_TYPE* outPntr) {
while (num_items-- > 0 && workMem[num_items]) {
}
outPntr[0] = num_items >= 0 ? 0 : 1;
}
} // namespace op
} // namespace mxnet