r""" encoder_hidden_states (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`, `optional`): Sequence of

Input shape: Batch x Time x Channel

Args: hidden_states (`torch.FloatTensor`): input to the layer of shape `(batch, seq_len, embed_dim)` attention_mas

r""" Args: inputs_embeds (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`): Embedded

r""" encoder_hidden_states (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`, `optional`): Sequence of

Input shape: Batch x Time x Channel

Args: hidden_states (`torch.FloatTensor`): input to the layer of shape `(batch, seq_len, embed_dim)` attention_mask (

r""" Args: inputs_embeds (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`): Embedded rep

r""" encoder_hidden_states (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`, `optional`): Sequence of h

r""" Instantiate a [`HuskyConfig`] (or a derived class) from a Husky vision model, Q-Former and language model configurations.

r""" Instantiate a [`HuskyConfig`] (or a derived class) from a Husky vision model, Q-Former and language model configurations.

r""" Instantiate a [`HuskyConfig`] (or a derived class) from a Husky vision model, Q-Former and language model configurations.

Overrides `generate` function to be able to use the model as a conditional generator. Args: pixel_values (`torch.Flo

Overrides `generate` function to be able to use the model as a conditional generator. Args: pixel_values (`torch.FloatTe

Get available memory for each GPU.

r""" Returns: vision_outputs (`BaseModelOutputWithPooling` or tuple of `torch.FloatTensor`): The vision model o

r""" Returns: vision_outputs (`BaseModelOutputWithPooling` or tuple of `torch.FloatTensor`): The vision model o

r""" Returns: vision_outputs (`BaseModelOutputWithPooling` or tuple of `torch.FloatTensor`): The vision model outp

r""" Returns: text_outputs (`CausalLMOutputWithPast`, or `tuple(torch.FloatTensor)` if `return_dict=False`): Th

r""" Returns: text_outputs (`CausalLMOutputWithPast`, or `tuple(torch.FloatTensor)` if `return_dict=False`): Th

r""" Returns: text_outputs (`CausalLMOutputWithPast`, or `tuple(torch.FloatTensor)` if `return_dict=False`): The l

Convert async generator to sync generator :param async_gen: the AsyncGenerator to convert :param event_loop: the event loop to run o