tf.reverse
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Reverses specific dimensions of a tensor.
tf.reverse(
tensor: Annotated[Any, TV_ReverseV2_T],
axis: Annotated[Any, TV_ReverseV2_Tidx],
name=None
) -> Annotated[Any, TV_ReverseV2_T]
Used in the notebooks
Given a tensor, and a int32 tensor axis representing the set of
dimensions of tensor to reverse. This operation reverses each dimension
i for which there exists j s.t. axis[j] == i.
tensor can have up to 8 dimensions. The number of dimensions specified
in axis may be 0 or more entries. If an index is specified more than
once, a InvalidArgument error is raised.
For example:
# tensor 't' is [[[[ 0, 1, 2, 3],
# [ 4, 5, 6, 7],
# [ 8, 9, 10, 11]],
# [[12, 13, 14, 15],
# [16, 17, 18, 19],
# [20, 21, 22, 23]]]]
# tensor 't' shape is [1, 2, 3, 4]
# 'dims' is [3] or 'dims' is [-1]
reverse(t, dims) ==> [[[[ 3, 2, 1, 0],
[ 7, 6, 5, 4],
[ 11, 10, 9, 8]],
[[15, 14, 13, 12],
[19, 18, 17, 16],
[23, 22, 21, 20]]]]
# 'dims' is '[1]' (or 'dims' is '[-3]')
reverse(t, dims) ==> [[[[12, 13, 14, 15],
[16, 17, 18, 19],
[20, 21, 22, 23]
[[ 0, 1, 2, 3],
[ 4, 5, 6, 7],
[ 8, 9, 10, 11]]]]
# 'dims' is '[2]' (or 'dims' is '[-2]')
reverse(t, dims) ==> [[[[8, 9, 10, 11],
[4, 5, 6, 7],
[0, 1, 2, 3]]
[[20, 21, 22, 23],
[16, 17, 18, 19],
[12, 13, 14, 15]]]]
Args |
|---|
tensor
|
A Tensor. Must be one of the following types: uint8, int8, uint16, int16, int32, uint32, int64, uint64, bool, bfloat16, half, float32, float64, complex64, complex128, string.
Up to 8-D.
|
axis
|
A Tensor. Must be one of the following types: int32, int64.
1-D. The indices of the dimensions to reverse. Must be in the range
[-rank(tensor), rank(tensor)).
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as tensor.
|
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Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.reverse\n\n\u003cbr /\u003e\n\nReverses specific dimensions of a 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.manip.reverse`](https://www.tensorflow.org/api_docs/python/tf/reverse), [`tf.compat.v1.reverse`](https://www.tensorflow.org/api_docs/python/tf/reverse), [`tf.compat.v1.reverse_v2`](https://www.tensorflow.org/api_docs/python/tf/reverse)\n\n\u003cbr /\u003e\n\n tf.reverse(\n tensor: Annotated[Any, TV_ReverseV2_T],\n axis: Annotated[Any, TV_ReverseV2_Tidx],\n name=None\n ) -\u003e Annotated[Any, TV_ReverseV2_T]\n\n### Used in the notebooks\n\n| Used in the guide |\n|--------------------------------------------------------------------|\n| - [Ragged tensors](https://www.tensorflow.org/guide/ragged_tensor) |\n\nGiven a `tensor`, and a `int32` tensor `axis` representing the set of\ndimensions of `tensor` to reverse. This operation reverses each dimension\n`i` for which there exists `j` s.t. `axis[j] == i`.\n\n`tensor` can have up to 8 dimensions. The number of dimensions specified\nin `axis` may be 0 or more entries. If an index is specified more than\nonce, a InvalidArgument error is raised.\n\n#### For example:\n\n # tensor 't' is [[[[ 0, 1, 2, 3],\n # [ 4, 5, 6, 7],\n # [ 8, 9, 10, 11]],\n # [[12, 13, 14, 15],\n # [16, 17, 18, 19],\n # [20, 21, 22, 23]]]]\n # tensor 't' shape is [1, 2, 3, 4]\n\n # 'dims' is [3] or 'dims' is [-1]\n reverse(t, dims) ==\u003e [[[[ 3, 2, 1, 0],\n [ 7, 6, 5, 4],\n [ 11, 10, 9, 8]],\n [[15, 14, 13, 12],\n [19, 18, 17, 16],\n [23, 22, 21, 20]]]]\n\n # 'dims' is '[1]' (or 'dims' is '[-3]')\n reverse(t, dims) ==\u003e [[[[12, 13, 14, 15],\n [16, 17, 18, 19],\n [20, 21, 22, 23]\n [[ 0, 1, 2, 3],\n [ 4, 5, 6, 7],\n [ 8, 9, 10, 11]]]]\n\n # 'dims' is '[2]' (or 'dims' is '[-2]')\n reverse(t, dims) ==\u003e [[[[8, 9, 10, 11],\n [4, 5, 6, 7],\n [0, 1, 2, 3]]\n [[20, 21, 22, 23],\n [16, 17, 18, 19],\n [12, 13, 14, 15]]]]\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `tensor` | A `Tensor`. Must be one of the following types: `uint8`, `int8`, `uint16`, `int16`, `int32`, `uint32`, `int64`, `uint64`, `bool`, `bfloat16`, `half`, `float32`, `float64`, `complex64`, `complex128`, `string`. Up to 8-D. |\n| `axis` | A `Tensor`. Must be one of the following types: `int32`, `int64`. 1-D. The indices of the dimensions to reverse. Must be in the range `[-rank(tensor), rank(tensor))`. |\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 `tensor`. ||\n\n\u003cbr /\u003e"]]
