在yolo11的pt模型转换时，按照examples/yolov8.cpp中为了dynamic shape进行的调整不能成功

[codeliuyang]

detail | 详细描述 | 詳細な説明

因为在yolo11n_pnnx.py中还存在这样的代码

        v_93, v_94 = torch.split(tensor=v_92, dim=1, split_size_or_sections=(128,128))
        v_95 = self.model_10_m_0_attn_qkv_conv(v_94)
        v_96 = v_95.view(1, 2, 128, 400)
        v_97, v_98, v_99 = torch.split(tensor=v_96, dim=2, split_size_or_sections=(32,32,64))
        v_100 = torch.transpose(input=v_97, dim0=-2, dim1=-1)
        v_101 = torch.matmul(input=v_100, other=v_98)
        v_102 = (v_101 * 1.767767e-01)
        v_103 = F.softmax(input=v_102, dim=-1)
        v_104 = torch.transpose(input=v_103, dim0=-2, dim1=-1)
        v_105 = torch.matmul(input=v_99, other=v_104)
        v_106 = v_105.view(1, 128, 20, 20)
        v_107 = v_99.reshape(1, 128, 20, 20)
        v_108 = self.model_10_m_0_attn_pe_conv(v_107)

不知道这里该如何处理，能否麻烦有人可以帮忙看看

[mingtianquan]

确实 pnnx yolov8n_pnnx.py.pt inputshape=[1,3,640,640] inputshape2=[1,3,320,320] 这步不会生成新的文件