(self)

(self)

(self, config)

(self, config: WhisperConfig, layer_idx: int = None)

(self, config: WhisperConfig)

( self, dim: int, intermediate_dim: int, kernel: int, dilation: int,

( self, idim: int, odim: int, n_layer=12, bn_dim=64, hidden=25

( self, )

(self, penalty: float, max_input_ids: int, past_window: int)

(self, in_dim, out_dim)

(self, config: ConditionalChatTTSConfig)

( self, patch_size=14, max_slice_nums=9, scale_resolution=448, **kwarg

( self, llm_dim: int = 2560, hidden_size: int = 768, intermediate_size: int =

(self, **kwargs)

(self, image_processor=None, feature_extractor=None, tokenizer=None)

( self, sample_rate=24000, n_fft=1024, hop_length=256, n_mels=100,

(self, max_slice_nums=9, scale_resolution=448, patch_size=14, **kwargs)

( self, embed_dim, num_heads, dropout=0.0, bias=True, add_bias

(self)

(self)

( self, urls, tokenizer_t5 = None, tokenizer_t5_en = None,

( self, urls, tokenizer_t5 = None, tokenizer_t5_en = None,

(self, in_channels=25, kernel_size=5, input_dim=896, output_dim0=768, output_dim1=4096, num_layers=2, num_head

( self, urls, tokenizer_t5 = None, tokenizer_t5_en = None,

( self, urls, tokenizer_t5 = None, tokenizer_t5_en = None,

(self, dataset_fetcher, preprocess)

(self, loader, preprocess: Preprocess=None, queue_max_size=2)

(self, loader, preprocess: Preprocess=None, queue_max_size=2)

(self, preprocess: Preprocess=None, *args, **kwargs)

(self, _index_queue, _result_queue)

(self, _rank, _dataset_fetcher, _prefetch_factor)

(self, _rank, _dataset_fetcher, _max_threads, _queue_actor, ip, port, _check_interval=12*_utils.MP_STATUS_CHEC

(self, loader, preprocess: Preprocess=None, queue_max_size=10)

(self, preprocess: Preprocess=None, *args, **kwargs)

(self, dim, num_attention_heads, attention_head_dim, mlp_ratio=4.0)

(self, dim, num_attention_heads, attention_head_dim, qk_norm="rms_norm", eps=1e-6)

( self, patch_size: int = 1, in_channels: int = 64, num_layers: int = 19,

(self, in_channels=25, kernel_size=5, input_dim=896, output_dim0=768, output_dim1=4096, num_layers=2, num_head

(self, infer_pg, is_infer_rank, batch_size, infer_rank)

(self, infer_pg, is_infer_rank, batch_size, infer_rank)

(self, infer_pg, is_infer_rank, batch_size, infer_rank)

( self, dim=None, max_position_embeddings=2048, base=10000, device=Non

(self, config: Qwen2Config, layer_idx: Optional[int] = None)

(self, *args, **kwargs)

(self, config: Qwen2Config, layer_idx: int)

(self, config: Qwen2Config)

(self, config)

(self, config)

(self, config)

(self, config)

(self, in_dim=4096, out_dim=4096, hidden_dim=4096, out_dim1=768, layer_norm_eps=1e-5, use_residual=True)

(self, in_dim=4096, out_dim=4096, hidden_dim=4096, out_dim1=768, use_residual=True)

(self, d_model, n_heads, out_dim1, out_dim2,num_layers=3)

(self, in_channels=2, kernel_size=5, input_dim=896, output_dim0=768, output_dim1=4096, num_layers=4, num_heads

(self, in_channels=2, kernel_size=5, input_dim=896, output_dim0=768, output_dim1=4096, num_layers=4, num_heads

(self, in_channels=2, kernel_size=5, input_dim=896, output_dim0=768, output_dim1=4096, num_layers=4, num_heads

(self, config: InternVLChatConfig, vision_model=None, language_model=None, use_flash_attn=True)

(self, dim, max_position_embeddings=2048, base=10000, device=None)

(self, dim, max_position_embeddings=2048, base=10000, device=None, scaling_factor=1.0)

(self, dim, max_position_embeddings=2048, base=10000, device=None, scaling_factor=1.0)

(self, config: InternLM2Config)

(self, config: InternLM2Config)

(self, config: InternLM2Config)

(self, config)

(self, tokenizer)

(self, config)

( self, num_channels=3, patch_size=14, image_size=224,

(self, softmax_scale=None, attention_dropout=0.0, device=None, dtype=None)

(self, hidden_size, eps=1e-6)

(self, config: InternVisionConfig)

(self, config: InternVisionConfig)

(self, config: InternVisionConfig, drop_path_rate: float)

(self, config: InternVisionConfig)

(self, config: InternVisionConfig)

( # pylint: disable=W0102 self, vocab_size=103168, hidden_size=4096, intermed

( self, vision_config=None, llm_config=None, use_backbone_lora

(self)

(self)

(self)

(self)

(self)

(self, m)

(self, module)

(self, module)

(self)

(self)

(self)

(past_key_values, beam_idx)

(self, loader, first_iter=False)

(self, seq_len, device, dtype)

(self, seq_len, device, dtype)

(self, module, value=False)

(self, module, value=False)

(self, tensor: torch.Tensor, seq_len: int, bsz: int)

(self)

(self)

(self, preprocess=None, process_group=None, group_rank=None)