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# tf.raw_ops.Pack

Packs a list of `N` rank-`R` tensors into one rank-`(R+1)` tensor.

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`.

`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).

A `Tensor`. Has the same type as `values`.

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