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First sketch of a very simple API to create simple graphs (#42)
* First sketch of a very simple API to create simple graphs * doc * f401 * add python-re2 * add re2 * update * doc * array * almost done * doc * add many ops * doc * doc
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‎CHANGELOGS.rst

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0.2.0
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+++++
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* :pr:`42`: first sketch for a very simple API to create onnx graph in one or two lines
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* :pr:`27`: add function from_array_extended to convert
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an array to a TensorProto, including bfloat16 and float 8 types
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* :pr:`24`: add ExtendedReferenceEvaluator to support scenario

‎README.rst

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The library is released on
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`pypi/onnx-array-api <https://pypi.org/project/onnx-array-api/>`_
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and its documentation is published at
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`(Numpy) Array API for ONNX
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<https://sdpython.github.io/doc/onnx-array-api/dev/>`_.
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`(Numpy) Array API for ONNX <https://sdpython.github.io/doc/onnx-array-api/dev/>`_.

‎_doc/api/index.rst

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:maxdepth: 1
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array_api
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light_api
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npx_core_api
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npx_functions
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npx_jit_eager

‎_doc/api/light_api.rst

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========================
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onnx_array_api.light_api
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========================
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start
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=====
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.. autofunction:: onnx_array_api.light_api.start
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OnnxGraph
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=========
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.. autoclass:: onnx_array_api.light_api.OnnxGraph
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:members:
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BaseVar
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=======
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.. autoclass:: onnx_array_api.light_api.var.BaseVar
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:members:
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Var
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===
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.. autoclass:: onnx_array_api.light_api.Var
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:members:
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Vars
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====
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.. autoclass:: onnx_array_api.light_api.Vars
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:members:

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