tf.raw_ops.SparseSegmentSqrtNGradV2

Computes gradients for SparseSegmentSqrtN.

Returns tensor "output" with same shape as grad, except for dimension 0 whose value is the number of unique indexes in "indices". Also returns vector "sorted_unique_indices" containing the corresponding indexes from "indices".

gradA Tensor. Must be one of the following types: bfloat16, half, float32, float64. gradient propagated to the SparseSegmentSqrtN op.
indicesA Tensor. Must be one of the following types: int32, int64. indices passed to the corresponding SparseSegmentSqrtN op.
segment_idsA Tensor. Must be one of the following types: int32, int64. segment_ids passed to the corresponding SparseSegmentSqrtN op.
dense_output_dim0A Tensor of type int32. dimension 0 of "data" passed to SparseSegmentSqrtN op.
nameA name for the operation (optional).

A tuple of Tensor objects (output, sorted_unique_indices).
outputA Tensor. Has the same type as grad.
sorted_unique_indicesA Tensor. Has the same type as indices.