tf.raw_ops.Pack
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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.
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.Pack\n\n\u003cbr /\u003e\n\nPacks a list of `N` rank-`R` tensors into one rank-`(R+1)` tensor.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.Pack`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/Pack)\n\n\u003cbr /\u003e\n\n tf.raw_ops.Pack(\n values, axis=0, name=None\n )\n\nPacks the `N` tensors in `values` into a tensor with rank one higher than each\ntensor in `values`, by packing them along the `axis` dimension.\nGiven a list of tensors of shape `(A, B, C)`;\n\nif `axis == 0` then the `output` tensor will have the shape `(N, A, B, C)`.\nif `axis == 1` then the `output` tensor will have the shape `(A, N, B, C)`.\nEtc.\n\n#### For example:\n\n # 'x' is [1, 4]\n # 'y' is [2, 5]\n # 'z' is [3, 6]\n pack([x, y, z]) =\u003e [[1, 4], [2, 5], [3, 6]] # Pack along first dim.\n pack([x, y, z], axis=1) =\u003e [[1, 2, 3], [4, 5, 6]]\n\nThis is the opposite of `unpack`.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------|----------------------------------------------------------------------------------------------------------------------------------------|\n| `values` | A list of at least 1 `Tensor` objects with the same type. Must be of same shape and type. |\n| `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)`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor`. Has the same type as `values`. ||\n\n\u003cbr /\u003e"]]
