tf.compat.v1.sparse_segment

Split a SparseTensor into num_split tensors along axis. (deprecated arguments)

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Compat aliases for migration

tf.compat.v1.sparse.split

tf.compat.v1.sparse_split(
    keyword_required=KeywordRequired(), sp_input=None, num_split=None, axis=None,
    name=None, split_dim=None
)

If the sp_input.dense_shape[axis] is not an integer multiple of num_split each slice starting from 0:shape[axis] % num_split gets extra one dimension. For example, if axis = 1 and num_split = 2 and the input is:

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

Graphically the output tensors are:

output_tensor[0] =
[    a   ]
[b c     ]

output_tensor[1] =
[ d e  ]
[      ]

Args
`keyword_required`	Python 2 standin for * (temporary for argument reorder)
`sp_input`	The `SparseTensor` to split.
`num_split`	A Python integer. The number of ways to split.
`axis`	A 0-D `int32` `Tensor`. The dimension along which to split. Must be in range [-rank, rank), where rank is the number of dimensions in the input `SparseTensor`.
`name`	A name for the operation (optional).
`split_dim`	Deprecated old name for axis.

Returns
`num_split` `SparseTensor` objects resulting from splitting `value`.

Raises
`TypeError`	If `sp_input` is not a `SparseTensor`.
`ValueError`	If the deprecated `split_dim` and `axis` are both non None.

TensorFlow

tf.compat / v1 / v1.sparse_segment_sum

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tf.compat / v1 / v1.sparse_segment_sum

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