tf.sparse.segment_sqrt

TensorFlow 1 version

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Slice a SparseTensor based on the start and `size.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.sparse.slice, tf.compat.v1.sparse_slice

tf.sparse.slice(
    sp_input, start, size, name=None
)

For example, if the input is

input_tensor = shape = [2, 7]
[    a   d e  ]
[b c          ]

Graphically the output tensors are:

sparse.slice([0, 0], [2, 4]) = shape = [2, 4]
[    a  ]
[b c    ]

sparse.slice([0, 4], [2, 3]) = shape = [2, 3]
[ d e  ]
[      ]

Args
`sp_input`	The `SparseTensor` to split.
`start`	1-D. tensor represents the start of the slice.
`size`	1-D. tensor represents the size of the slice.
`name`	A name for the operation (optional).

Returns
A `SparseTensor` objects resulting from splicing.

Raises
`TypeError`	If `sp_input` is not a `SparseTensor`.

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tf.sparse / segment_sqrt_n

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Args

Returns

Raises