Preparing conditionals for 2 unique speaker(s)... - Downloading & preparing speaker 'Alex'... - ffprobe detected format: 'wav' - Successfully decoded with format: wav - Conditionals cache MISS (d0dfce621332...), computing new conditionals - Downloading & preparing speaker 'Sarah'... - ffprobe detected format: 'wav' - Successfully decoded with format: wav - Conditionals cache MISS (374212646897...), computing new conditionals Turn 1/9: [Alex] Hi! Is this seat taken?... /root/.pyenv/versions/3.11.15/lib/python3.11/contextlib.py:105: FutureWarning: `torch.backends.cuda.sdp_kernel()` is deprecated. In the future, this context manager will be removed. Please see `torch.nn.attention.sdpa_kernel()` for the new context manager, with updated signature. self.gen = func(*args, **kwds) /root/.pyenv/versions/3.11.15/lib/python3.11/site-packages/transformers/generation/configuration_utils.py:774: UserWarning: `return_dict_in_generate` is NOT set to `True`, but `output_attentions` is. When `return_dict_in_generate` is not `True`, `output_attentions` is ignored. warnings.warn( LlamaModel is using LlamaSdpaAttention, but `torch.nn.functional.scaled_dot_product_attention` does not support `output_attentions=True`. Falling back to the manual attention implementation, but specifying the manual implementation will be required from Transformers version v5.0.0 onwards. This warning can be removed using the argument `attn_implementation="eager"` when loading the model. Sampling: 0%| | 0/1000 [00:00