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a9b0a921d5
Summary: As GoogleTest `TEST` macro is non-compliant with it as well as `DEFINE_DISPATCH` All changes but the ones to `.clang-tidy` are generated using following script: ``` for i in `find . -type f -iname "*.c*" -or -iname "*.h"|xargs grep cppcoreguidelines-avoid-non-const-global-variables|cut -f1 -d:|sort|uniq`; do sed -i "/\/\/ NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)/d" $i; done ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/62008 Reviewed By: driazati, r-barnes Differential Revision: D29838584 Pulled By: malfet fbshipit-source-id: 1b2f8602c945bd4ce50a9bfdd204755556e31d13
31 lines
1.2 KiB
C++
31 lines
1.2 KiB
C++
#include "caffe2/operators/histogram_op.h"
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namespace caffe2 {
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REGISTER_CPU_OPERATOR(Histogram, HistogramOp<CPUContext>);
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OPERATOR_SCHEMA(Histogram)
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.NumInputs(1, INT_MAX)
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.NumOutputs(1)
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.SetDoc(
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R"DOC(
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Computes a histogram for values in the given list of tensors.
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For logging activation histograms for post-hoc analyses, consider using the
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HistogramObserver observer.
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For iteratively computing a histogram for all input tensors encountered through
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history, consider using the AccumulateHistogram operator.
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)DOC")
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.Input(0, "X1, X2, ...", "*(type: Tensor`<float>`)* List of input tensors.")
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.Output(
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0,
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"histogram",
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"1D tensor of length k, wherein the i-th element expresses the count of tensor values "
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"that fall within range [bin_edges[i], bin_edges[i + 1])")
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.Arg(
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"bin_edges",
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"length-(k + 1) sequence of float values wherein the i-th element represents the inclusive "
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"left boundary of the i-th bin for i in [0, k - 1] and the exclusive right boundary "
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"of the (i-1)-th bin for i in [1, k].");
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SHOULD_NOT_DO_GRADIENT(Histogram);
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} // namespace caffe2
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