tf.raw_ops.ConcatOffset
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Computes offsets of concat inputs within its output.
tf.raw_ops.ConcatOffset(
concat_dim, shape, name=None
)
For example:
x = [2, 2, 7]
y = [2, 3, 7]
z = [2, 9, 7]
offsets = concat_offset(1, [x, y, z])
[list(off.numpy()) for off in offsets]
[[0, 0, 0], [0, 2, 0], [0, 5, 0]]
This is typically used by gradient computations for a concat operation.
Args |
|---|
concat_dim
|
A Tensor of type int32.
The dimension along which to concatenate.
|
shape
|
A list of at least 2 Tensor objects with the same type in: int32, int64.
The N int32 or int64 vectors representing shape of tensors being concatenated.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A list with the same length as shape of Tensor objects with the same type as shape.
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.ConcatOffset\n\n\u003cbr /\u003e\n\nComputes offsets of concat inputs within its output.\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.ConcatOffset`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/ConcatOffset)\n\n\u003cbr /\u003e\n\n tf.raw_ops.ConcatOffset(\n concat_dim, shape, name=None\n )\n\n#### For example:\n\n x = [2, 2, 7]\n y = [2, 3, 7]\n z = [2, 9, 7]\n offsets = concat_offset(1, [x, y, z])\n [list(off.numpy()) for off in offsets]\n [[0, 0, 0], [0, 2, 0], [0, 5, 0]]\n\nThis is typically used by gradient computations for a concat operation.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `concat_dim` | A `Tensor` of type `int32`. The dimension along which to concatenate. |\n| `shape` | A list of at least 2 `Tensor` objects with the same type in: `int32`, `int64`. The `N` int32 or int64 vectors representing shape of tensors being concatenated. |\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 list with the same length as `shape` of `Tensor` objects with the same type as `shape`. ||\n\n\u003cbr /\u003e"]]
