Description
Hello,
I have a strange issue when loading some pretrained models. On loading, some models abort and give an "illegal instruction" message, like below:
import torchvision
torchvision.models.squeezenet1_0(pretrained=True)Illegal instruction (core dumped)
But with other models, everything runs smoothly. The following code
import torchvision
torchvision.models.alexnet(pretrained=True)outputs a nicely loaded model:
AlexNet(
(features): Sequential(
(0): Conv2d(3, 64, kernel_size=(11, 11), stride=(4, 4), padding=(2, 2))
(1): ReLU(inplace=True)
(2): MaxPool2d(kernel_size=3, stride=2, padding=0, dilation=1, ceil_mode=False)
(3): Conv2d(64, 192, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))
(4): ReLU(inplace=True)
(5): MaxPool2d(kernel_size=3, stride=2, padding=0, dilation=1, ceil_mode=False)
(6): Conv2d(192, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(7): ReLU(inplace=True)
(8): Conv2d(384, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(9): ReLU(inplace=True)
(10): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(11): ReLU(inplace=True)
(12): MaxPool2d(kernel_size=3, stride=2, padding=0, dilation=1, ceil_mode=False)
)
(avgpool): AdaptiveAvgPool2d(output_size=(6, 6))
(classifier): Sequential(
(0): Dropout(p=0.5, inplace=False)
(1): Linear(in_features=9216, out_features=4096, bias=True)
(2): ReLU(inplace=True)
(3): Dropout(p=0.5, inplace=False)
(4): Linear(in_features=4096, out_features=4096, bias=True)
(5): ReLU(inplace=True)
(6): Linear(in_features=4096, out_features=1000, bias=True)
)
)Running Python 3.7.5 on a CPU only Ubuntu machine with the following versions:
PyTorch Version: 1.4.0+cpu
Torchvision Version: 0.5.0+cpu
The CPUs have the following properties:
processor : 7
vendor_id : GenuineIntel
cpu family : 6
model : 13
model name : QEMU Virtual CPU version (cpu64-rhel6)
stepping : 3
microcode : 0x1
cpu MHz : 2593.902
cache size : 4096 KB
physical id : 7
siblings : 1
core id : 0
cpu cores : 1
apicid : 7
initial apicid : 7
fpu : yes
fpu_exception : yes
cpuid level : 4
wp : yes
flags : fpu de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pse36 clflush mmx fxsr sse sse2 syscall nx lm nopl cpuid pni cx16 hypervisor lahf_lm abm pti
bugs : cpu_meltdown spectre_v1 spectre_v2 spec_store_bypass l1tf
bogomips : 5187.80
clflush size : 64
cache_alignment : 64
address sizes : 46 bits physical, 48 bits virtual
power management:
I could not find help anywhere with this issue...