tf.raw_ops.SparseSlice

Slice a SparseTensor based on the start and size.

Compat aliases for migration

tf.compat.v1.raw_ops.SparseSlice

tf.raw_ops.SparseSlice(
    indices, values, shape, 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
`indices`	A `Tensor` of type `int64`. 2-D tensor represents the indices of the sparse tensor.
`values`	A `Tensor`. 1-D tensor represents the values of the sparse tensor.
`shape`	A `Tensor` of type `int64`. 1-D. tensor represents the shape of the sparse tensor.
`start`	A `Tensor` of type `int64`. 1-D. tensor represents the start of the slice.
`size`	A `Tensor` of type `int64`. 1-D. tensor represents the size of the slice. output indices: A list of 1-D tensors represents the indices of the output sparse tensors.
`name`	A name for the operation (optional).

Returns
A tuple of `Tensor` objects (output_indices, output_values, output_shape).
`output_indices`	A `Tensor` of type `int64`.
`output_values`	A `Tensor`. Has the same type as `values`.
`output_shape`	A `Tensor` of type `int64`.

Args