Transpose - 1 vs 13#
Next section compares an older to a newer version of the same operator after both definition are converted into markdown text. Green means an addition to the newer version, red means a deletion. Anything else is unchanged.
- Transpose1 → Transpose13 +0 -1
Transpose1 → Transpose13
RENAMED
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@@ -1 +1 @@
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1
1
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Transpose the input tensor similar to numpy.transpose. For example, when
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2
2
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perm=(1, 0, 2), given an input tensor of shape (1, 2, 3), the output shape
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3
3
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will be (2, 1, 3).
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4
4
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**Attributes**
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5
5
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* **perm**:
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6
6
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A list of integers. By default, reverse the dimensions, otherwise
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7
7
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permute the axes according to the values given.
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8
8
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**Inputs**
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9
9
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* **data** (heterogeneous) - **T**:
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10
10
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An input tensor.
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11
11
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**Outputs**
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12
12
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* **transposed** (heterogeneous) - **T**:
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13
13
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Transposed output.
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14
14
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**Type Constraints**
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15
15
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* **T** in (
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16
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-
tensor(bfloat16),
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17
16
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tensor(bool),
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18
17
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tensor(complex128),
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19
18
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tensor(complex64),
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20
19
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tensor(double),
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21
20
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tensor(float),
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22
21
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tensor(float16),
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23
22
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tensor(int16),
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24
23
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tensor(int32),
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25
24
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tensor(int64),
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26
25
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tensor(int8),
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27
26
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tensor(string),
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28
27
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tensor(uint16),
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29
28
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tensor(uint32),
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30
29
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tensor(uint64),
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31
30
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tensor(uint8)
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32
31
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):
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33
32
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Constrain input and output types to all tensor types.
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