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./pnnx gfpganv1_clean_model.pt inputshape=[1,3,512,512] fp16=0 pnnxparam = gfpganv1_clean_model.pnnx.param pnnxbin = gfpganv1_clean_model.pnnx.bin pnnxpy = gfpganv1_clean_model_pnnx.py pnnxonnx = gfpganv1_clean_model.pnnx.onnx ncnnparam = gfpganv1_clean_model.ncnn.param ncnnbin = gfpganv1_clean_model.ncnn.bin ncnnpy = gfpganv1_clean_model_ncnn.py fp16 = 0 optlevel = 2 device = cpu inputshape = [1,3,512,512]f32 inputshape2 = customop = moduleop = ############# pass_level0 inline module = gfpgan.archs.gfpganv1_clean_arch.ResBlock inline module = gfpgan.archs.gfpganv1_clean_arch.StyleGAN2GeneratorCSFT inline module = gfpgan.archs.stylegan2_clean_arch.ConstantInput inline module = gfpgan.archs.stylegan2_clean_arch.ModulatedConv2d inline module = gfpgan.archs.stylegan2_clean_arch.StyleConv inline module = gfpgan.archs.stylegan2_clean_arch.ToRGB inline module = gfpgan.archs.gfpganv1_clean_arch.ResBlock inline module = gfpgan.archs.gfpganv1_clean_arch.StyleGAN2GeneratorCSFT inline module = gfpgan.archs.stylegan2_clean_arch.ConstantInput inline module = gfpgan.archs.stylegan2_clean_arch.ModulatedConv2d inline module = gfpgan.archs.stylegan2_clean_arch.StyleConv inline module = gfpgan.archs.stylegan2_clean_arch.ToRGB
inline module = gfpgan.archs.gfpganv1_clean_arch.ResBlock inline module = gfpgan.archs.gfpganv1_clean_arch.StyleGAN2GeneratorCSFT inline module = gfpgan.archs.stylegan2_clean_arch.ConstantInput inline module = gfpgan.archs.stylegan2_clean_arch.ModulatedConv2d inline module = gfpgan.archs.stylegan2_clean_arch.StyleConv inline module = gfpgan.archs.stylegan2_clean_arch.ToRGB
############# pass_level1 ############# pass_level2 ############# pass_level3 ############# pass_level4 ############# pass_level5 ############# pass_ncnn fallback batch axis 233 for operand 196 fallback batch axis 233 for operand 207 fallback batch axis 233 for operand 221 fallback batch axis 233 for operand 243 fallback batch axis 233 for operand 254 fallback batch axis 233 for operand 269 fallback batch axis 233 for operand 291 fallback batch axis 233 for operand 302 fallback batch axis 233 for operand 317 fallback batch axis 233 for operand 339 fallback batch axis 233 for operand 350 fallback batch axis 233 for operand 365 fallback batch axis 233 for operand 387 fallback batch axis 233 for operand 398 fallback batch axis 233 for operand 413 fallback batch axis 233 for operand 435 fallback batch axis 233 for operand 446 fallback batch axis 233 for operand 461 fallback batch axis 233 for operand 483 fallback batch axis 233 for operand 494 fallback batch axis 233 for operand 509 fallback batch axis 233 for operand 531 fallback batch axis 233 for operand 542
1../pnnx gfpganv1_clean_model.pt inputshape=[1,3,512,512] fp16=0 2.pnnx版本20240226 3.
请问类似这样的报错,我怎么定位到pytorch的具体op上?196,207这些在ncnn的param里和pt里都搜不到
The text was updated successfully, but these errors were encountered:
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error log | 日志或报错信息 | ログ
./pnnx gfpganv1_clean_model.pt inputshape=[1,3,512,512] fp16=0
pnnxparam = gfpganv1_clean_model.pnnx.param
pnnxbin = gfpganv1_clean_model.pnnx.bin
pnnxpy = gfpganv1_clean_model_pnnx.py
pnnxonnx = gfpganv1_clean_model.pnnx.onnx
ncnnparam = gfpganv1_clean_model.ncnn.param
ncnnbin = gfpganv1_clean_model.ncnn.bin
ncnnpy = gfpganv1_clean_model_ncnn.py
fp16 = 0
optlevel = 2
device = cpu
inputshape = [1,3,512,512]f32
inputshape2 =
customop =
moduleop =
############# pass_level0
inline module = gfpgan.archs.gfpganv1_clean_arch.ResBlock
inline module = gfpgan.archs.gfpganv1_clean_arch.StyleGAN2GeneratorCSFT
inline module = gfpgan.archs.stylegan2_clean_arch.ConstantInput
inline module = gfpgan.archs.stylegan2_clean_arch.ModulatedConv2d
inline module = gfpgan.archs.stylegan2_clean_arch.StyleConv
inline module = gfpgan.archs.stylegan2_clean_arch.ToRGB
inline module = gfpgan.archs.gfpganv1_clean_arch.ResBlock
inline module = gfpgan.archs.gfpganv1_clean_arch.StyleGAN2GeneratorCSFT
inline module = gfpgan.archs.stylegan2_clean_arch.ConstantInput
inline module = gfpgan.archs.stylegan2_clean_arch.ModulatedConv2d
inline module = gfpgan.archs.stylegan2_clean_arch.StyleConv
inline module = gfpgan.archs.stylegan2_clean_arch.ToRGB
inline module = gfpgan.archs.gfpganv1_clean_arch.ResBlock
inline module = gfpgan.archs.gfpganv1_clean_arch.StyleGAN2GeneratorCSFT
inline module = gfpgan.archs.stylegan2_clean_arch.ConstantInput
inline module = gfpgan.archs.stylegan2_clean_arch.ModulatedConv2d
inline module = gfpgan.archs.stylegan2_clean_arch.StyleConv
inline module = gfpgan.archs.stylegan2_clean_arch.ToRGB
############# pass_level1
############# pass_level2
############# pass_level3
############# pass_level4
############# pass_level5
############# pass_ncnn
fallback batch axis 233 for operand 196
fallback batch axis 233 for operand 207
fallback batch axis 233 for operand 221
fallback batch axis 233 for operand 243
fallback batch axis 233 for operand 254
fallback batch axis 233 for operand 269
fallback batch axis 233 for operand 291
fallback batch axis 233 for operand 302
fallback batch axis 233 for operand 317
fallback batch axis 233 for operand 339
fallback batch axis 233 for operand 350
fallback batch axis 233 for operand 365
fallback batch axis 233 for operand 387
fallback batch axis 233 for operand 398
fallback batch axis 233 for operand 413
fallback batch axis 233 for operand 435
fallback batch axis 233 for operand 446
fallback batch axis 233 for operand 461
fallback batch axis 233 for operand 483
fallback batch axis 233 for operand 494
fallback batch axis 233 for operand 509
fallback batch axis 233 for operand 531
fallback batch axis 233 for operand 542
model | 模型 | モデル
how to reproduce | 复现步骤 | 再現方法
1../pnnx gfpganv1_clean_model.pt inputshape=[1,3,512,512] fp16=0
2.pnnx版本20240226
3.
请问类似这样的报错,我怎么定位到pytorch的具体op上?196,207这些在ncnn的param里和pt里都搜不到
The text was updated successfully, but these errors were encountered: