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