.. _l-onnx-op-spacetodepth-d1-13:

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Next section compares an older to a newer version of the same operator 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

.. raw:: html


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    --- a/SpaceToDepth1
    +++ b/SpaceToDepth13
    @@ -1 +1 @@
      SpaceToDepth rearranges blocks of spatial data into depth. More specifically,
      this op outputs a copy of the input tensor where values from the height and width dimensions
      are moved to the depth dimension.
  
      ### Attributes
  
      * **blocksize - INT** (required) :
  
        Blocks of [blocksize, blocksize] are moved.
  
      ### Inputs
  
      - **input** (heterogeneous) - **T**:
  
        Input tensor of [N,C,H,W], where N is the batch axis, C is the channel or depth, H is the height and W is the width.
  
      ### Outputs
  
      - **output** (heterogeneous) - **T**:
  
        Output tensor of [N, C * blocksize * blocksize, H/blocksize, W/blocksize].
  
      ### 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(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):
    ?             ++++++++++++++++++
  
        Constrain input and output types to all tensor types.
    `;

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