blob: 3d90996c72b0f62bae3b512db2cf84dc53d4fa76 [file] [log] [blame]
/**
* Copyright (c) 2016-present, Facebook, Inc.
*
* 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.
*/
#include "caffe2/operators/replace_nan_op.h"
namespace caffe2 {
template <>
template <typename T>
void ReplaceNaNOp<CPUContext>::ReplaceNaN(
const T& value,
const TIndex size,
const T* X,
T* Y) {
for (TIndex i = 0; i < size; i++) {
if (std::isnan(X[i])) {
Y[i] = value;
} else {
Y[i] = X[i];
}
}
}
REGISTER_CPU_OPERATOR(ReplaceNaN, ReplaceNaNOp<CPUContext>);
OPERATOR_SCHEMA(ReplaceNaN)
.NumInputs(1)
.NumOutputs(1)
.AllowInplace({{0, 0}})
.IdenticalTypeAndShape()
.SetDoc(R"DOC(
Replace the NaN (not a number) element in the input tensor with argument `value`
)DOC")
.Arg("value (optional)", "the value to replace NaN, the default is 0")
.Input(0, "input", "Input tensor")
.Input(1, "output", "Output tensor");
SHOULD_NOT_DO_GRADIENT(ReplaceNaN);
} // namespace caffe2