Given a list of groups of samples and their cumulative log probabilities, return the indices of the samples in each group to select

Update the key-value cache according to the updated beams

Replace any other markers, symbols, and punctuations with a space, and drop any diacritics (category 'Mn' and some manual mappings)

Initialize any stateful variables for decoding a new sequence

Constructs a ResNet-50 model_hyper. Args: pretrained (bool): If True, returns a model_hyper pre-trained on ImageNet

r""" Enable sliced attention computation. When this option is enabled, the attention module will split the input tensor in slices,

Set the number of features diminsions. Args: num_features: Number of features diminsions.

Setup and pre-download all required models.

Returns sinusoids for positional embedding

Transcribe an audio file using Whisper Parameters ---------- model: Whisper The Whisper model instance audio: U

Write a transcript to a file in SRT format. Example usage: from pathlib import Path from whisper.utils import write_srt

Get audio samples and video frame at `idx`. Parameters ---------- idx : int or slice The frame index, can be