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Releases: ENOT-AutoDL/onnx2torch

v1.5.4

14 Nov 12:06
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Minor release to support torch 1.13 export.

v1.5.3

16 Sep 05:58
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FIXED:

  • Gemm operation updated according onnx specs

v1.5.2

09 Sep 05:16
14e64be
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Support for new OPS 🚀 :

Thanks @yan12125 and @monicathieu for their contributions.

v1.5.1

01 Sep 05:12
c73f3a3
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Include requirements.txt and exclude tests for sdist

v1.5.0

30 Aug 08:22
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You've been waiting, you've asked... And here it is a new release(1.5.0)!

In this release:

  • Fixed shape inference of big models (now you can load your lovely big language model, like gptj6B);
  • Fixed BarchNorm converter according onnx specs;
  • Added asymmetric padding for both Conv and MaxPool.

Thank you for your discussions and issues! We always ready to help you!

v1.4.1

12 Jul 06:58
46fc3a1
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Minor updates:

  • Fix prelu according onnx specs,
  • Fix Global average pooling.

v1.4.0

06 Jul 05:12
eb5ec21
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🚀 New day - new release! 🚀
New features in release 1.4.0:

  • Added operations:

    • Einsum,
    • Reciprocal,
    • Neg,
    • Prelu,
    • Mean,
    • Min,
    • Max,
    • CumSum,
    • Sum.
  • Fixes:

    • GlobalAveragePool compatible with PyTorch FX QAT,
    • Compatibility with torch 1.12,
    • Allow to ignore bs+ch dimensions for size input in Resize.
    • Check roi only for tf_crop_and_resize mode.
  • Code style and workflows:

We thank all contributors for their work! Together we will make onnx2torch great! ⭐ 10^6

v1.3.0

20 Apr 10:53
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New features in release 1.3.0:

  • Add Pad operation
  • Add Hardswish, Celu, Elu, Selu, Softplus, Softsign functions
  • Add GatherElements operation
  • Add new model tests

Fixes:

  • Fix ConvTranspose operation

v1.2.5

07 Apr 08:25
5617ca6
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Hi!
New release 1.2.5. In this release we add:

  • ConvTranspose

And fix:

  • RoiAlign export

v1.2.0

23 Mar 12:05
d2dc0a0
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New features in release 1.2.0:

  • Support VIT, SWIN, FasterRcnn models;
  • add RoiAlign operation;
  • Add Floor, Ceil, Round and trigonometric functions;
  • New model tests for classification, detection and segmentation;

Fixes:

  • Fix ScatterND and its speed;
  • Fix names of plaseholders;
  • Fix optional arguments if last arguments are not passed;
  • Fix checking of empty inputs;
  • Fix avg pool operation;