.. _l-onnx-op-transpose-d1-23:

Transpose - 1 vs 23
===================

Next section compares an older to a newer version of the same operator 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.

.. raw:: html


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    --- a/Transpose1
    +++ b/Transpose23
    @@ -1 +1 @@
      Transpose the input tensor similar to numpy.transpose. For example, when
      perm=(1, 0, 2), given an input tensor of shape (1, 2, 3), the output shape
      will be (2, 1, 3).
  
      ### Attributes
  
      * **perm - INTS** :
  
    -   A list of integers. By default, reverse the dimensions, otherwise permute the axes according to the values given.
    +   A list of integers. By default, reverse the dimensions, otherwise permute the axes according to the values given. Its length must be equal to the rank of the input.
    ?                                                                                                                    +++++++++++++++++++++++++++++++++++++++++++++++++++
  
      ### Inputs
  
      - **data** (heterogeneous) - **T**:
  
        An input tensor.
  
      ### Outputs
  
      - **transposed** (heterogeneous) - **T**:
  
        Transposed output.
  
      ### Type Constraints
  
    - * **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) ):
    + * **T** in ( tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(float4e2m1), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8) ):
  
        Constrain input and output types to all tensor types.
    `;

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