coremltools 6.2

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.