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Releases: sdpython/onnx-array-api

0.3.2

21 Jul 10:10
01bd2dc
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  • #101: fix as_tensor in onnx_text_plot_tree
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0.3.1

08 Apr 10:32
96eb50e
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  • #100: updates requirements, add 3.12
  • #96: supports local functions in translator
  • #95: improves translation to GraphBuilder
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0.3.0

17 Feb 16:36
689cc6f
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  • #93: fixes evaluator type in compare_onnx_execution
  • #92: avoids recursion errors in profiling
  • #87: adds command line to replace contant by ConstantOfShape
  • #79: first draft to export to GraphBuilder
  • #77: supports ConcatOfShape and Slice with the light API
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0.2.0

01 Mar 15:25
492b6d4
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  • #77: supports ConcatOfShape and Slice with the light API
  • #76,#79: add a mode to compare models without execution
  • #75: add QuickGelu to ExtendedReferenceEvaluator
  • #71: adds tools to compare two onnx graphs
  • #61: adds function to plot onnx model as graphs
  • #60: supports translation of local functions
  • #59: add methods to update nodes in GraphAPI
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0.1.3

26 Nov 20:38
8b54ad1
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  • #49: adds command line to export a model into code
  • #48: support for subgraph in light API
  • #47: extends export onnx to code to support inner API
  • #46: adds an export to convert an onnx graph into light API code
  • #45: fixes light API for operators with two outputs
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0.1.2

07 Nov 18:29
70d6f64
This commit was created on GitHub.com and signed with GitHub’sverified signature. The key has expired.
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Learn about vigilant mode.

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  • #42: first sketch for a very simple API to create onnx graph in one or two lines
  • #27: add function from_array_extended to convert
    an array to a TensorProto, including bfloat16 and float 8 types
  • #24: add ExtendedReferenceEvaluator to support scenario
    for the Array API onnx does not support
  • #22: support OrtValue in functionort_profile
  • #17: implements ArrayAPI
  • #3: fixes Array API with onnxruntime and scikit-learn
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