sparse_matrix_reshape_op.cc

#include "caffe2/experiments/operators/sparse_matrix_reshape_op.h"

namespace caffe2 {
namespace {

REGISTER_CPU_OPERATOR(SparseMatrixReshape, SparseMatrixReshapeOp<CPUContext>);

OPERATOR_SCHEMA(SparseMatrixReshape)
    .NumInputs(2)
    .NumOutputs(2)
    .DisallowInputFillers() // TODO: enable the filler
    .AllowInplace({{0, 0}, {1, 1}})
    .SetDoc(R"DOC(
Compute the indices of the reshaped sparse matrix.

It takes two 1D tensors as input: the column indices (in int64) and
the row indices (in int), which correspond to `INDICES` and `SEGMENT_IDS`
in `SparseSortedSegment` family.
It outputs the corresponding reshaped column and row indices.

Two arguments are required:
an argument `old_shape` specifies the original shape of the matrix,
and `new_shape` specifies the new shape.
One of the dimension in `old_shape` and `new_shape` can be -1.
The valid combinations are listed below, where p, q, r, s are
strictly positive integers.

old_shape=(p, q)
new_shape=(r, s)

old_shape=(p, q)
new_shape=(-1, s)

old_shape=(p, q)
new_shape=(r, -1)

old_shape=(-1, q)
new_shape=(-1, s)

Note that only the first dimension in `old_shape` can be -1. In that case
the second dimension in `new_shape` must NOT be -1.
)DOC")
    .Arg("old_shape", "Old shape.")
    .Arg("new_shape", "New shape.")
    .Input(0, "old_col", "Original column indices.")
    .Input(1, "old_row", "Original row indices.")
    .Output(0, "new_col", "New column indices.")
    .Output(1, "new_row", "New row indices.");

SHOULD_NOT_DO_GRADIENT(SparseMatrixReshape);

} // namespace
} // namespace caffe2