File: remove_data_blocks_op.cc

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pytorch 1.7.1-7
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#include "caffe2/operators/remove_data_blocks_op.h"

namespace caffe2 {
namespace {
REGISTER_CPU_OPERATOR(RemoveDataBlocks, RemoveDataBlocksOp<CPUContext>);

OPERATOR_SCHEMA(RemoveDataBlocks)
    .NumInputs(2)
    .NumOutputs(1)
    .SetDoc(R"DOC(
Shrink the data tensor by removing data blocks with given zero-based indices in
the outermost dimension of the tensor. Indices are not assumed in any order or
unique but with the range [0, blocks_size). Indices could be empty.
  )DOC")
    .Input(0, "data", "a N-D data tensor, N >= 1")
    .Input(1, "indices", "zero-based indices of blocks to be removed")
    .Output(
        0,
        "shrunk data",
        "data after removing data blocks indexed by 'indices'");

SHOULD_NOT_DO_GRADIENT(RemoveDataBlocks);
} // namespace
} // namespace caffe2