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@junpeiz junpeiz released this 03 Feb 21:01
· 202 commits to main since this release
6.2
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Core ML Tools 6.2 Release Note

  • Support new PyTorch version: torch==1.13.1 and torchvision==0.14.1.
  • New ops support:
    • New PyTorch ops support: 1-D and N-D FFT / RFFT / IFFT / IRFFT in torch.fft, torchvision.ops.nms, torch.atan2, torch.bitwise_and, torch.numel,
    • New TensorFlow ops support: FFT / RFFT / IFFT / IRFFT in tf.signal, tf.tensor_scatter_nd_add.
  • Existing ops improvements:
    • Supports int input for clamp op.
    • Supports dynamic topk (k not determined during compile time).
    • Supports padding='valid' in PyTorch convolution.
    • Supports PyTorch Adaptive Pooling.
  • Supports numpy v1.24.0 (#1718)
  • Add int8 affine quantization for the compression_utils.
  • Various other bug fixes, optimizations and improvements.

Special thanks to our external contributors for this release: @fukatani, @ChinChangYang, @danvargg, @bhushan23 and @cjblocker.

Contributors

bhushan23, ChinChangYang, and 3 other contributors
Assets 16
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