New features

• Add a patience factor for beam search to continue decoding until beam_size * patience hypotheses are finished, as described in Kasai et al. 2022
• Implement all GELU variants and select them accordingly when converting models:
  • Tanh approximation (already implemented)
  • Sigmoid approximation
  • Reference implementation based on the CDF

Fixes and improvements

• Fix incorrect outputs of T5 models due to a bug in the CUDA kernel of the RMS normalization
• Raise an error if the Whisper input shape is incorrect
• Optimize the transposition operator used in the multi-head attention when running on GPU
• Remove the upper limit in python_requires to facilitate the package installation with tools like Poetry and PDM