.. _l-onnx-op-nonzero-d9-13:

NonZero - 9 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Next section compares an older to a newer version of the same operator 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/NonZero9
    +++ b/NonZero13
    @@ -1 +1 @@
      Returns the indices of the elements that are non-zero
      (in row-major order - by dimension).
      NonZero behaves similar to numpy.nonzero:
      https://docs.scipy.org/doc/numpy/reference/generated/numpy.nonzero.html,
      but for scalar input, NonZero produces output shape (0, N) instead of (1, N), which is different from Numpy's behavior.
  
      ### Inputs
  
      - **X** (heterogeneous) - **T**:
  
        input
  
      ### Outputs
  
      - **Y** (heterogeneous) - **tensor(int64)**:
  
        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(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):
    ?             ++++++++++++++++++
  
        Constrain to all tensor types.
    `;

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