pnnx converting model has permute layer missing

[AnanasPizzaMigliore]

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model | 模型 | モデル

1. original model

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1.last layer in ncnn param ConvolutionDepthWise convdwrelu_14 1 1 333 352 0=128 1=5 -23310=1,1.000000e-01 11=5 12=1 13=1 14=2 2=1 3=1 4=2 5=1 6=3200 7=128 9=2
Convolution convrelu_35 1 1 352 353 0=128 1=1 -23310=1,1.000000e-01 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=16384 9=2
ConvolutionDepthWise convdwrelu_15 1 1 353 354 0=128 1=5 -23310=1,1.000000e-01 11=5 12=1 13=1 14=2 2=1 3=1 4=2 5=1 6=3200 7=128 9=2
Convolution convrelu_36 1 1 354 355 0=128 1=1 -23310=1,1.000000e-01 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=16384 9=2
Convolution conv_94 1 1 355 356 0=33 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=4224
Reshape flatten_171 1 1 356 357 0=-1 1=33
Concat cat_12 4 1 339 345 351 357 out0 0=1
2.last layers in pnnx param nn.LeakyReLU head.cls_convs.3.1.act 1 1 274 275 negative_slope=1.000000e-01 #274=(1,128,20,13)f32 #275=(1,128,20,13)f32
nn.Conv2d convbn2d_113 1 1 275 276 bias=True dilation=(1,1) groups=1 in_channels=128 kernel_size=(1,1) out_channels=128 padding=(0,0) padding_mode=zeros stride=(1,1) @bias=(128)f32 @weight=(128,128,1,1)f32 $input=275 #275=(1,128,20,13)f32 #276=(1,128,20,13)f32
nn.LeakyReLU pnnx_unique_12 1 1 276 277 negative_slope=1.000000e-01 #276=(1,128,20,13)f32 #277=(1,128,20,13)f32
nn.Conv2d head.gfl_cls.3 1 1 277 278 bias=True dilation=(1,1) groups=1 in_channels=128 kernel_size=(1,1) out_channels=33 padding=(0,0) padding_mode=zeros stride=(1,1) @bias=(33)f32 @weight=(33,128,1,1)f32 #277=(1,128,20,13)f32 #278=(1,33,20,13)f32
torch.flatten torch.flatten_17 1 1 278 279 end_dim=-1 start_dim=2 $input=278 #278=(1,33,20,13)f32 #279=(1,33,260)f32
torch.cat torch.cat_13 4 1 249 259 269 279 280 dim=2 #249=(1,33,16000)f32 #259=(1,33,4000)f32 #269=(1,33,1000)f32 #279=(1,33,260)f32 #280=(1,33,21260)f32
Tensor.permute Tensor.permute_0 1 1 280 281 dims=(0,2,1) $input=280 #280=(1,33,21260)f32 #281=(1,21260,33)f32
pnnx.Output pnnx_output_0 1 0 281 #281=(1,21260,33)f32
3.