File: remove_data_blocks_op.cc

package info (click to toggle)
pytorch 1.13.1%2Bdfsg-4
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 139,252 kB
  • sloc: cpp: 1,100,274; python: 706,454; ansic: 83,052; asm: 7,618; java: 3,273; sh: 2,841; javascript: 612; makefile: 323; xml: 269; ruby: 185; yacc: 144; objc: 68; lex: 44
file content (24 lines) | stat: -rw-r--r-- 798 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
#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