There is a newer version of the record available.

Published March 27, 2026 | Version 2.3.16
Software Open

Tools to convert ONNX files (NCHW) to TensorFlow format (NHWC)

Authors/Creators

Description

2.3.16

[!IMPORTANT] Starting with onnx2tf v2.4.0, tf_converter will be deprecated and the default backend will be switched to flatbuffer_direct. With the v2.3.3 update, all backward compatible conversion options have been migrated to flatbuffer_direct, so I will only be doing minor bug fixes until April. If you provide us with ONNX sample models, I will consider incorporating them into flatbuffer_direct. I'll incorporate ai-edge-quantizer when I feel like it, but that will probably be about 10 years from now.

What's Changed

  • Fix TopK numpy 2.4 compatibility: use .item() before int() cast by @cdeil in https://github.com/PINTO0309/onnx2tf/pull/919
  • Update add PR invisible Unicode guard by @PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/920

New Contributors

  • @cdeil made their first contribution in https://github.com/PINTO0309/onnx2tf/pull/919

Full Changelog: https://github.com/PINTO0309/onnx2tf/compare/2.3.15...2.3.16

Notes

If you use onnx2tf in your research, please cite it using these metadata.

Files

PINTO0309/onnx2tf-2.3.16.zip

Files (3.3 MB)

Name Size Download all
md5:7170a7235fb88a7215cb6500e6854483
3.3 MB Preview Download

Additional details

Related works

Is supplement to
Software: https://github.com/PINTO0309/onnx2tf/tree/2.3.16 (URL)

Software

Repository URL
https://github.com/PINTO0309/onnx2tf