Packs a list of N rank-R tensors into one rank-(R+1) tensor.
tf.raw_ops.Pack(
values, axis=0, name=None
)
Packs the N tensors in values into a tensor with rank one higher than each
tensor in values, by packing them along the axis dimension.
Given a list of tensors of shape (A, B, C);
if axis == 0 then the output tensor will have the shape (N, A, B, C).
if axis == 1 then the output tensor will have the shape (A, N, B, C).
Etc.
For example:
# 'x' is [1, 4]
# 'y' is [2, 5]
# 'z' is [3, 6]
pack([x, y, z]) => [[1, 4], [2, 5], [3, 6]] # Pack along first dim.
pack([x, y, z], axis=1) => [[1, 2, 3], [4, 5, 6]]
This is the opposite of unpack.
Args | |
|---|---|
values
|
A list of at least 1 Tensor objects with the same type.
Must be of same shape and type.
|
axis
|
An optional int. Defaults to 0.
Dimension along which to pack. Negative values wrap around, so the
valid range is [-(R+1), R+1).
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor. Has the same type as values.
|