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a6630e25af
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/11943 See title Reviewed By: ezyang Differential Revision: D9992645 fbshipit-source-id: e8f80d6ea762971513e5e8072975ceea53e1f11a
38 lines
854 B
C++
38 lines
854 B
C++
#include "caffe2/operators/replace_nan_op.h"
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namespace caffe2 {
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template <>
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template <typename T>
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void ReplaceNaNOp<CPUContext>::ReplaceNaN(
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const T& value,
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const int64_t size,
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const T* X,
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T* Y) {
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for (int64_t i = 0; i < size; i++) {
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if (std::isnan(X[i])) {
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Y[i] = value;
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} else {
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Y[i] = X[i];
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}
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}
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}
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REGISTER_CPU_OPERATOR(ReplaceNaN, ReplaceNaNOp<CPUContext>);
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OPERATOR_SCHEMA(ReplaceNaN)
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.NumInputs(1)
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.NumOutputs(1)
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.AllowInplace({{0, 0}})
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.IdenticalTypeAndShape()
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.SetDoc(R"DOC(
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Replace the NaN (not a number) element in the input tensor with argument `value`
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)DOC")
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.Arg("value (optional)", "the value to replace NaN, the default is 0")
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.Input(0, "input", "Input tensor")
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.Input(1, "output", "Output tensor");
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SHOULD_NOT_DO_GRADIENT(ReplaceNaN);
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} // namespace caffe2
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