I tried to run tutorial https://pytorch.org/tutorials/advanced/static_quantization_tutorial.html 17 and faced this problem.
I ran at a supercomputer,cuda 10.1,pytorch 1.4,torchvision 0.5.
total information is
Traceback (most recent call last):
File “q.py”, line 327, in 
torch.quantization.convert(myModel,inplace=True)
File “/SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/quantization/quantize.py”, line 316, in convert
convert(mod, mapping, inplace=True)
File “/SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/quantization/quantize.py”, line 316, in convert
convert(mod, mapping, inplace=True)
File “/SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/quantization/quantize.py”, line 317, in convert
reassign[name] = swap_module(mod, mapping)
File “/SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/quantization/quantize.py”, line 339, in swap_module
new_mod = mapping[type(mod)].from_float(mod)
File “/SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/nn/intrinsic/quantized/modules/conv_relu.py”, line 49, in from_float
return super(ConvReLU2d, cls).from_float(mod)
File “/SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/nn/quantized/modules/conv.py”, line 257, in from_float
mod.bias is not None, mod.padding_mode)
File “/SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/nn/intrinsic/quantized/modules/conv_relu.py”, line 29, in init
padding_mode=padding_mode)
File “/SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/nn/quantized/modules/conv.py”, line 187, in init
groups, bias, padding_mode)
File “/SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/nn/quantized/modules/conv.py”, line 48, in init
self.set_weight_bias(qweight, bias_float)
File “/SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/nn/quantized/modules/conv.py”, line 195, in set_weight_bias
w, b, self.stride, self.padding, self.dilation, self.groups)
RuntimeError: Didn’t find engine for operation quantized::conv2d_prepack NoQEngine (operator() at /pytorch/aten/src/ATen/native/quantized/cpu/qconv_prepack.cpp:63)
frame #0: c10::Error::Error(c10::SourceLocation, std::string const&) + 0x33 (0x7f414c66d193 in /SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/lib/libc10.so)
frame #1:  + 0x1e5c2ba (0x7f414e91c2ba in /SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/lib/libtorch.so)
frame #2:  + 0x1e5d083 (0x7f414e91d083 in /SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/lib/libtorch.so)
frame #3:  + 0x33eb009 (0x7f414feab009 in /SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/lib/libtorch.so)
frame #4:  + 0x40e8547 (0x7f4150ba8547 in /SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/lib/libtorch.so)
frame #5:  + 0x6de077 (0x7f4197a4e077 in /SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/lib/libtorch_python.so)
frame #6:  + 0x6a95c4 (0x7f4197a195c4 in /SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/lib/libtorch_python.so)
frame #7:  + 0x2961c4 (0x7f41976061c4 in /SISDC_GPFS/Home_SE/songxy-jnu/hejy-jnu/.conda/envs/mjx/lib/python3.6/site-packages/torch/lib/libtorch_python.so)

frame #61: __libc_start_main + 0xf5 (0x7f41abb49445 in /lib64/libc.so.6)