module 'torch' has no attribute 'cuda
If you encounter an error with "RuntimeError: Couldn't install torch." Why do I get AttributeError: 'NoneType' object has no attribute 'something'? Sorry for late response How do I check if an object has an attribute? - the incident has nothing to do with me; can I use this this way? or in your case: If you don't want to update or if you are not able to do so for some reason. python AttributeError: 'module' object has no attribute 'dumps' pre_dict = {k: v for k, v in pre_dict.items () if k in model_dict} 1. return run(f'"{python}" -c "{code}"', desc, errdesc) Well occasionally send you account related emails. What pytorch version are you using? If you preorder a special airline meal (e.g. What does the "yield" keyword do in Python? Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. However, the code that works in Ubuntu 20.04, throws this error: I have this version of PyTorch on Ubuntu 20.04: Ideally I want the same code to run across two machines. Already on GitHub? update some extensions, and when I restarted stable. Recovering from a blunder I made while emailing a professor, Linear regulator thermal information missing in datasheet, How to handle a hobby that makes income in US, Minimising the environmental effects of my dyson brain. I just checked that, it's strange it's 0.1.12_1. conda list torch gives me: But, when asking for the torchvision version in Jupyter Notebook, I get: AttributeError: module 'torch.fft' has no attribute 'fftfreq' Hot Network Questions Add circled letters in titles [Bug]: AttributeError: module 'torch' has no attribute 'cuda', https://www.python.org/downloads/release/python-3109/, https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases. You might want to ask pytorch questions on a pytorch forum. Easiest way would be just updating PyTorch to 0.4.0 or higher. Sorry, you must verify to complete this action. For the Nozomi from Shinagawa to Osaka, say on a Saturday afternoon, would tickets/seats typically be available - or would you need to book? Im running from torch.cuda.amp import GradScaler, autocast and got the error as in title. Is CUDA available: True Already on GitHub? WebAttributeError: module 'torch' has no attribute 'cuda' Press any key to continue . AttributeError: module 'torch' has no attribute 'cuda', update some extensions, and when I restarted stable. What is the point of Thrower's Bandolier? . If you sign in, click, Sorry, you must verify to complete this action. venv "C:\ai\stable-diffusion-webui\venv\Scripts\Python.exe" How do I check if an object has an attribute? I read the PyTorch Q&A and there may be some problems about my CUDA, I tried to add --gpu_ids -1 to my code (that is, sh experiments/run_mnist.sh --gpu_ids -1, see the following picture), still exit error. """, def __init__(self, num_classes, pretrained=False): super(C3D, self).__init__() self.conv1 = nn.quantized.Conv3d(3, 64, kernel_size=(3, 3, 3), padding=(1, 1, 1))#..54.14ms self.pool1 = nn.MaxPool3d(kernel_size=(1, 2, 2), stride=(1, 2, 2)), self.conv2 = nn.quantized.Conv3d(64, 128, kernel_size=(3, 3, 3), padding=(1, 1, 1))#**395.749ms** self.pool2 = nn.MaxPool3d(kernel_size=(2, 2, 2), stride=(2, 2, 2)), self.conv3a = nn.quantized.Conv3d(128, 256, kernel_size=(3, 3, 3), padding=(1, 1, 1))#..208.237ms self.conv3b = nn.quantized.Conv3d(256, 256, kernel_size=(3, 3, 3), padding=(1, 1, 1))#***..348.491ms*** self.pool3 = nn.MaxPool3d(kernel_size=(2, 2, 2), stride=(2, 2, 2)), self.conv4a = nn.quantized.Conv3d(256, 512, kernel_size=(3, 3, 3), padding=(1, 1, 1))#..64.714ms self.conv4b = nn.quantized.Conv3d(512, 512, kernel_size=(3, 3, 3), padding=(1, 1, 1))#..169.855ms self.pool4 = nn.MaxPool3d(kernel_size=(2, 2, 2), stride=(2, 2, 2)), self.conv5a = nn.quantized.Conv3d(512, 512, kernel_size=(3, 3, 3), padding=(1, 1, 1))#.27.173ms self.conv5b = nn.quantized.Conv3d(512, 512, kernel_size=(3, 3, 3), padding=(1, 1, 1))#.25.972ms self.pool5 = nn.MaxPool3d(kernel_size=(2, 2, 2), stride=(2, 2, 2), padding=(0, 1, 1)), self.fc6 = nn.Linear(8192, 4096)#21.852ms self.fc7 = nn.Linear(4096, 4096)#.10.288ms self.fc8 = nn.Linear(4096, num_classes)#0.023ms, self.relu = nn.ReLU() self.softmax = nn.Softmax(dim=1), x = self.relu(self.conv1(x)) x = least_squares(self.pool1(x)), x = self.relu(self.conv2(x)) x = least_squares(self.pool2(x)), x = self.relu(self.conv3a(x)) x = self.relu(self.conv3b(x)) x = least_squares(self.pool3(x)), x = self.relu(self.conv4a(x)) x = self.relu(self.conv4b(x)) x = least_squares(self.pool4(x)), x = self.relu(self.conv5a(x)) x = self.relu(self.conv5b(x)) x = least_squares(self.pool5(x)), x = x.view(-1, 8192) x = self.relu(self.fc6(x)) x = self.dropout(x) x = self.relu(self.fc7(x)) x = self.dropout(x), def __init_weight(self): for m in self.modules(): if isinstance(m, nn.Conv3d): init.xavier_normal_(m.weight.data) init.constant_(m.bias.data, 0.01) elif isinstance(m, nn.Linear): init.xavier_normal_(m.weight.data) init.constant_(m.bias.data, 0.01), import torch.nn.utils.prune as prunedevice = torch.device("cuda" if torch.cuda.is_available() else "cpu")model = C3D(num_classes=2).to(device=device)prune.random_unstructured(module, name="weight", amount=0.3), parameters_to_prune = ( (model.conv2, 'weight'), (model.conv3a, 'weight'), (model.conv3b, 'weight'), (model.conv4a, 'weight'), (model.conv4b, 'weight'), (model.conv5a, 'weight'), (model.conv5b, 'weight'), (model.fc6, 'weight'), (model.fc7, 'weight'), (model.fc8, 'weight'),), prune.global_unstructured( parameters_to_prune, pruning_method=prune.L1Unstructured, amount=0.2), --------------------------------------------------------------------------- AttributeError Traceback (most recent call last)
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