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upgrade version to 0.8.6 (#352)
* upgrade version to 0.8.6 * spell
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CHANGELOGS.rst

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Change Logs
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===========
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4+
0.8.6
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+++++
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0.8.5
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+++++
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_doc/index.rst

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Older versions
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==============
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* `0.8.6 <../v0.8.6/index.html>`_
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* `0.8.5 <../v0.8.5/index.html>`_
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* `0.8.4 <../v0.8.4/index.html>`_
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* `0.7.16 <../v0.7.16/index.html>`_
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* `0.6.3 <../v0.6.3/index.html>`_
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* `0.5.0 <../v0.5.0/index.html>`_

_scripts/export_qwen25_vl_visual.py

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print(f"-- dump inputs into {input_filename!r}")
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torch.save(data, input_filename)
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else:
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raise NotImplementedError(f"part={part!r} not implemnted yet")
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raise NotImplementedError(f"part={part!r} not implemented yet")
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print(f"-- export_inputs={string_type(export_inputs, with_shape=True, with_device=True)}")
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print(f"-- other_inputs={string_type(other_inputs, with_shape=True, with_device=True)}")
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"-x",
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"--existing-onnx",
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default="",
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help="If an onnx file exists, only measures the disrepancies.",
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help="If an onnx file exists, only measures the discrepancies.",
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)
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parser.add_argument(
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"-p",

onnx_diagnostic/__init__.py

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Functions, classes to dig into a model when this one is right, slow, wrong...
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"""
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__version__ = "0.8.5"
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__version__ = "0.8.6"
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__author__ = "Xavier Dupré"

pyproject.toml

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[project]
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name = "onnx-diagnostic"
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version = "0.8.5"
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version = "0.8.6"
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description = "Tools to help converting pytorch models into ONNX."
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readme = "README.rst"
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authors = [

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