8000 Improves documentation, fix README by xadupre · Pull Request #50 · sdpython/onnx-array-api · GitHub
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Improves documentation, fix README #50

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Nov 13, 2023
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2 changes: 1 addition & 1 deletion README.rst
Original file line number Diff line number Diff line change
Expand Up @@ -113,7 +113,7 @@ It supports eager mode as well:
l2_loss=[0.002]
[0.042]

The second API ir **Light API** tends to do every thing in one line.
The second API or **Light API** tends to do every thing in one line.
The euclidean distance looks like the following:

::
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17 changes: 17 additions & 0 deletions _doc/api/light_api.rst
Original file line number Diff line number Diff line change
Expand Up @@ -84,3 +84,20 @@ Translater
.. autoclass:: onnx_array_api.light_api.translate.Translater
:members:

Available operators
===================

One input
+++++++++

.. autoclass:: onnx_array_api.light_api._op_var.OpsVar
:members:

Two inputs or more
++++++++++++++++++

.. autoclass:: onnx_array_api.light_api._op_vars.OpsVars
:members:



2 changes: 1 addition & 1 deletion _doc/tech/aapi.rst
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@ Python is not strongly typed and many different types can be used
to represent a value. Argument *axis* can be an integer or a tuple
(see `min from Array API
<https://data-apis.org/array-api/2022.12/API_specification/
generated/array_api.min.html>`
generated/array_api.min.html>`_
for example). On the other side, `ReduceMin from ONNX
<https://onnx.ai/onnx/operators/onnx__ReduceMin.html>`_
is considered as a tensor.
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