tf.raw_ops.Unpack

Unpacks a given dimension of a rank-R tensor into num rank-(R-1) tensors.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.Unpack

tf.raw_ops.Unpack(
    value, num, axis=0, name=None
)

Unpacks num tensors from value by chipping it along the axis dimension. For example, given a tensor of shape (A, B, C, D);

If axis == 0 then the i'th tensor in output is the slice value[i, :, :, :] and each tensor in output will have shape (B, C, D). (Note that the dimension unpacked along is gone, unlike split).

If axis == 1 then the i'th tensor in output is the slice value[:, i, :, :] and each tensor in output will have shape (A, C, D). Etc.

This is the opposite of pack.

Args
value	A Tensor. 1-D or higher, with axis dimension size equal to num.
num	An int that is >= 0.
axis	An optional int. Defaults to 0. Dimension along which to unpack. Negative values wrap around, so the valid range is [-R, R).
name	A name for the operation (optional).

Returns
A list of num Tensor objects with the same type as value.