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Diffstat (limited to 'tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.sparse_segment_sqrt_n_grad.md')
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diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.sparse_segment_sqrt_n_grad.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.sparse_segment_sqrt_n_grad.md new file mode 100644 index 0000000000..2a2e0c9e33 --- /dev/null +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.sparse_segment_sqrt_n_grad.md @@ -0,0 +1,24 @@ +### `tf.sparse_segment_sqrt_n_grad(grad, indices, segment_ids, output_dim0, name=None)` {#sparse_segment_sqrt_n_grad} + +Computes gradients for SparseSegmentSqrtN. + +Returns tensor "output" with same shape as grad, except for dimension 0 whose +value is output_dim0. + +##### Args: + + +* <b>`grad`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`. + gradient propagated to the SparseSegmentSqrtN op. +* <b>`indices`</b>: A `Tensor` of type `int32`. + indices passed to the corresponding SparseSegmentSqrtN op. +* <b>`segment_ids`</b>: A `Tensor` of type `int32`. + segment_ids passed to the corresponding SparseSegmentSqrtN op. +* <b>`output_dim0`</b>: A `Tensor` of type `int32`. + dimension 0 of "data" passed to SparseSegmentSqrtN op. +* <b>`name`</b>: A name for the operation (optional). + +##### Returns: + + A `Tensor`. Has the same type as `grad`. + |