tf.raw_ops.Reverse
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Reverses specific dimensions of a tensor.
View aliases
Compat aliases for migration
See
Migration guide for
more details.
tf.compat.v1.raw_ops.Reverse
tf.raw_ops.Reverse(
tensor, dims, name=None
)
Given a tensor, and a bool tensor dims representing the dimensions
of tensor, this operation reverses each dimension i of tensor where
dims[i] is True.
tensor can have up to 8 dimensions. The number of dimensions
of tensor must equal the number of elements in dims. In other words:
rank(tensor) = size(dims)
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 [False, False, False, True]
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 [False, True, False, False]
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 [False, False, True, False]
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, int64, bool, half, float32, float64, complex64, complex128, string.
Up to 8-D.
|
dims
|
A Tensor of type bool. 1-D. The dimensions to reverse.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as tensor.
|
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Last updated 2020-10-01 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[],null,["# tf.raw_ops.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.raw_ops.Reverse`](/api_docs/python/tf/raw_ops/Reverse)\n\n\u003cbr /\u003e\n\n tf.raw_ops.Reverse(\n tensor, dims, name=None\n )\n\nGiven a `tensor`, and a `bool` tensor `dims` representing the dimensions\nof `tensor`, this operation reverses each dimension i of `tensor` where\n`dims[i]` is `True`.\n\n`tensor` can have up to 8 dimensions. The number of dimensions\nof `tensor` must equal the number of elements in `dims`. In other words:\n\n`rank(tensor) = size(dims)`\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 [False, False, False, True]\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 [False, True, False, False]\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 [False, False, True, False]\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`, `int64`, `bool`, `half`, `float32`, `float64`, `complex64`, `complex128`, `string`. Up to 8-D. |\n| `dims` | A `Tensor` of type `bool`. 1-D. The dimensions to reverse. |\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"]]
