mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-15 21:00:47 +00:00
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
37 lines
1.2 KiB
C++
37 lines
1.2 KiB
C++
#include "caffe2/operators/length_split_op.h"
|
|
|
|
namespace caffe2 {
|
|
|
|
REGISTER_CPU_OPERATOR(LengthsSplit, LengthsSplitOp<CPUContext>);
|
|
|
|
OPERATOR_SCHEMA(LengthsSplit)
|
|
.NumInputs(1, 2)
|
|
.NumOutputs(1)
|
|
.ScalarType(TensorProto::INT32)
|
|
.SetDoc(R"DOC(
|
|
Given input vector LENGTHS, and input n_split, LengthsSplit returns
|
|
a single output vector. It "splits" each length into n_split values which add
|
|
up to the original length. It will attempt to do equal splits, and if not possible,
|
|
it orders larger values first. If the n_split is larger than the length, zero
|
|
padding will be applied.
|
|
|
|
e.g. LENGTHS = [9 4 5]
|
|
n_split = 3
|
|
Y = [3 3 3 2 1 1 2 2 1]
|
|
|
|
e.g. LENGTHS = [2, 1, 2]
|
|
n_split = 3
|
|
Y = [1 1 0 1 0 0 1 1 0]
|
|
)DOC")
|
|
.Arg("n_split", "Number of splits for each element in LENGTHS")
|
|
.Input(0, "LENGTHS", "Mx1 Input tensor denoting INT32 lengths")
|
|
.Input(
|
|
1,
|
|
"n_split",
|
|
"(Optional) Number of splits for each element in LENGTHS (overrides argument)")
|
|
.Output(0, "Y", "(M*n_split)x1 Output vector denoting split lengths");
|
|
|
|
// TODO: Write gradient for this when needed
|
|
GRADIENT_NOT_IMPLEMENTED_YET(LengthsSplit);
|
|
|
|
} // namespace caffe2
|