from transformers.models.qwen2_5_vl import modeling_qwen2_5_vl import torch class CompiledQwen2_5_VLVisionBlock(modeling_qwen2_5_vl.Qwen2_5_VLVisionBlock): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) @torch.compile def forward(self, *args, **kwargs): return super().forward(*args, **kwargs) class CompiledQwen2_5_VLPatchMerger(modeling_qwen2_5_vl.Qwen2_5_VLPatchMerger): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) @torch.compile def forward(self, *args, **kwargs): return super().forward(*args, **kwargs) class CompiledQwen2_5_VLDecoderLayer(modeling_qwen2_5_vl.Qwen2_5_VLDecoderLayer): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) @torch.compile def forward(self, *args, **kwargs): return super().forward(*args, **kwargs) class CompiledQwen2_5_VLRotaryEmbedding(modeling_qwen2_5_vl.Qwen2_5_VLRotaryEmbedding): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) @torch.compile def forward(self, *args, **kwargs): return super().forward(*args, **kwargs) class CompiledQwen2_5_VisionRotaryEmbedding(modeling_qwen2_5_vl.Qwen2_5_VisionRotaryEmbedding): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) @torch.compile def forward(self, *args, **kwargs): return super().forward(*args, **kwargs) class CompiledQwen2_5_VisionPatchEmbed(modeling_qwen2_5_vl.Qwen2_5_VisionPatchEmbed): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) @torch.compile def forward(self, *args, **kwargs): return super().forward(*args, **kwargs) modeling_qwen2_5_vl.Qwen2_5_VLVisionBlock = CompiledQwen2_5_VLVisionBlock modeling_qwen2_5_vl.Qwen2_5_VLPatchMerger = CompiledQwen2_5_VLPatchMerger modeling_qwen2_5_vl.Qwen2_5_VLDecoderLayer = CompiledQwen2_5_VLDecoderLayer modeling_qwen2_5_vl.Qwen2_5_VLRotaryEmbedding = CompiledQwen2_5_VLRotaryEmbedding modeling_qwen2_5_vl.Qwen2_5_VisionRotaryEmbedding = CompiledQwen2_5_VisionRotaryEmbedding modeling_qwen2_5_vl.Qwen2_5_VisionPatchEmbed = CompiledQwen2_5_VisionPatchEmbed