Overriding the new default of 'sdpa'#108
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ParthaEth wants to merge 20 commits intoMeiGen-AI:mainfrom
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- Updated avatar asset selection to find configuration JSON and image files in a predictable manner. - Improved input payload building by extracting required fields from avatar config and ensuring necessary data is present.
- Introduced a new base TTS template JSON file for input payload construction. - Implemented avatar image downloading from a presigned S3 URL in the CLI. - Updated input payload building to utilize the new template and handle avatar images. - Adjusted video generation time constant for improved performance.
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The default value of the attn_implementation argument in Wav2Vec2Model.from_pretrained() depends on the underlying version of Transformers (Hugging Face) you’re using.
As of Transformers v4.38+, the attn_implementation argument can be one of the following:
"eager" — standard PyTorch attention (default prior to v4.37)
"flash_attention_2" — uses FlashAttention v2 if available (faster and more memory-efficient)
"sdpa" — uses PyTorch’s scaled dot-product attention if available
I have not tested with -
flash_attention_2. It would be great if that can speed things up.