| #include "caffe2/operators/histogram_op.h" |
| |
| namespace caffe2 { |
| |
| REGISTER_CPU_OPERATOR(Histogram, HistogramOp<CPUContext>); |
| OPERATOR_SCHEMA(Histogram) |
| .NumInputs(1, INT_MAX) |
| .NumOutputs(1) |
| .SetDoc( |
| R"DOC( |
| Computes a histogram for values in the given list of tensors. |
| For logging activation histograms for post-hoc analyses, consider using the |
| HistogramObserver observer. |
| For iteratively computing a histogram for all input tensors encountered through |
| history, consider using the AccumulateHistogram operator. |
| )DOC") |
| .Input(0, "X1, X2, ...", "*(type: Tensor`<float>`)* List of input tensors.") |
| .Output( |
| 0, |
| "histogram", |
| "1D tensor of length k, wherein the i-th element expresses the count of tensor values " |
| "that fall within range [bin_edges[i], bin_edges[i + 1])") |
| .Arg( |
| "bin_edges", |
| "length-(k + 1) sequence of float values wherein the i-th element represents the inclusive " |
| "left boundary of the i-th bin for i in [0, k - 1] and the exclusive right boundary " |
| "of the (i-1)-th bin for i in [1, k]."); |
| |
| SHOULD_NOT_DO_GRADIENT(Histogram); |
| } // namespace caffe2 |
