warnings.warn('You have chosen a specific GPU. This will completely '
Use GPU: 0 for training
Loaded pretrained weights for efficientnet-b3
=> using pre-trained model 'efficientnet-b3'
Using image size 300
Traceback (most recent call last):
File "/home/szp/EfficientNet-PyTorch-master/examples/imagenet/main.py", line 443, in
main()
File "/home/szp/EfficientNet-PyTorch-master/examples/imagenet/main.py", line 117, in main
main_worker(args.gpu, ngpus_per_node, args)
File "/home/szp/EfficientNet-PyTorch-master/examples/imagenet/main.py", line 254, in main_worker
res = validate(val_loader, model, criterion, args)
File "/home/szp/EfficientNet-PyTorch-master/examples/imagenet/main.py", line 348, in validate
output = model(images)
File "/home/szp/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "/home/szp/EfficientNet-PyTorch-master/efficientnet_pytorch/model.py", line 320, in forward
x = self._fc(x)
File "/home/szp/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "/home/szp/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/modules/linear.py", line 92, in forward
return F.linear(input, self.weight, self.bias)
File "/home/szp/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/functional.py", line 1406, in linear
ret = torch.addmm(bias, input, weight.t())
RuntimeError: cublas runtime error : the GPU program failed to execute at /opt/conda/conda-bld/pytorch_1556653215914/work/aten/src/THC/THCBlas.cu:259
Process finished with exit code 1