Source code for tensorrt_llm.models.cogvlm.config

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from typing import Optional

from ..modeling_utils import PretrainedConfig


[docs] class CogVLMConfig(PretrainedConfig): def __init__(self, *, mlp_bias: bool = False, attn_bias: bool = False, rotary_base: float = 10000.0, rotary_scaling: Optional[dict] = None, **kwargs): self.mlp_bias = mlp_bias self.attn_bias = attn_bias self.rotary_base = rotary_base self.rotary_scaling = rotary_scaling self.position_embedding_type = 'rope_gpt_neox' super().__init__(**kwargs)
[docs] def to_dict(self): output = super().to_dict() # Serialize the fields added in CogVLMConfig output['mlp_bias'] = self.mlp_bias output['attn_bias'] = self.attn_bias output['rotary_base'] = self.rotary_base output['rotary_scaling'] = self.rotary_scaling return output