Unpacks a given dimension of a rank-R
tensor into num
rank-(R-1)
tensors.
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
.
Returns | |
---|---|
A list of num Tensor objects with the same type as value .
|