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modeling_internvl_chat.py
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@@ -18,7 +18,7 @@ from transformers.utils import ModelOutput, logging
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from .configuration_internvl_chat import InternVLChatConfig
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from .conversation import get_conv_template
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from .modeling_intern_vit import InternVisionModel
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from .modeling_internlm2 import InternLM2ForCausalLM
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logger = logging.get_logger(__name__)
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@@ -50,6 +50,7 @@ class InternVLChatModel(PreTrainedModel):
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self.num_image_token = int((image_size // patch_size) ** 2 * (config.downsample_ratio ** 2))
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self.downsample_ratio = config.downsample_ratio
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self.ps_version = config.ps_version
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config.vision_config.use_flash_attn = True if use_flash_attn else False
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config.llm_config.attn_implementation = 'flash_attention_2' if use_flash_attn else 'eager'
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from .configuration_internvl_chat import InternVLChatConfig
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from .conversation import get_conv_template
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from .modeling_intern_vit import InternVisionModel, has_flash_attn
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from .modeling_internlm2 import InternLM2ForCausalLM
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logger = logging.get_logger(__name__)
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self.num_image_token = int((image_size // patch_size) ** 2 * (config.downsample_ratio ** 2))
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self.downsample_ratio = config.downsample_ratio
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self.ps_version = config.ps_version
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use_flash_attn = use_flash_attn if has_flash_attn else False
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config.vision_config.use_flash_attn = True if use_flash_attn else False
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config.llm_config.attn_implementation = 'flash_attention_2' if use_flash_attn else 'eager'
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