tf.raw_ops.SparseSegmentMeanGradV2

Computes gradients for SparseSegmentMean.

tf.raw_ops.SparseSegmentMeanGradV2(
    grad, indices, segment_ids, dense_output_dim0, name=None
)

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".

grad A Tensor. Must be one of the following types: bfloat16, half, float32, float64. gradient propagated to the SparseSegmentMean op.
indices A Tensor. Must be one of the following types: int32, int64. indices passed to the corresponding SparseSegmentMean op.
segment_ids A Tensor. Must be one of the following types: int32, int64. segment_ids passed to the corresponding SparseSegmentMean op.
dense_output_dim0 A Tensor of type int32. dimension 0 of "data" passed to SparseSegmentMean op.
name A name for the operation (optional).

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