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Next section compares an older to a newer version of the same operator after both definition are converted into markdown text.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 +1 -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 - INTS** :
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6
6
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A list of integers. By default, reverse the dimensions, otherwise permute the axes according to the values given.
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7
7
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### Inputs
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8
8
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- **data** (heterogeneous) - **T**:
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9
9
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An input tensor.
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10
10
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### Outputs
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11
11
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- **transposed** (heterogeneous) - **T**:
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12
12
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Transposed output.
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13
13
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### Type Constraints
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14
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-
* **T** in ( tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):
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14
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+
* **T** in ( tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):
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15
15
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Constrain input and output types to all tensor types.
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