blob: db05ac47ffd623b012a343c3843bdb46e2d652c2 [file] [log] [blame]
#include "caffe2/operators/lengths_tile_op.h"
namespace caffe2 {
namespace {
REGISTER_CPU_OPERATOR(LengthsTile, LengthsTileOp<CPUContext>);
OPERATOR_SCHEMA(LengthsTile)
.NumInputs(2)
.NumOutputs(1)
.SetDoc(R"DOC(
Given DATA tensor of rank r >= 1, and LENGTHS tensor of rank 1, duplicate each
entry of the outer-most dimension of DATA according to LENGTHS, and concatenate
them in an output tensor of rank r.
Example:
DATA = [
[1.0, 1.2],
[2.3, 3.4],
[4.5, 5.7],
[6.8, 7.9],
]
LENGTHS = [0, 1, 3, 2]
OUTPUT = [
[2.3, 3.4],
[4.5, 5.7],
[4.5, 5.7],
[4.5, 5.7],
[6.8, 7.9],
[6.8, 7.9],
]
)DOC")
.Input(
0,
"DATA",
"Tensor of rank r >= 1. First dimension must be equal to the size of "
"lengths")
.Input(1, "LENGTHS", "Tensor of int32 lengths of rank 1")
.Output(0, "OUTPUT", "Tensor of rank r");
GRADIENT_NOT_IMPLEMENTED_YET(LengthsTile);
} // namespace
} // namespace caffe2