I have same error after install pytorch from channel "soumith" with this command: After reinstalling from pytorch channel all works fine. . Sign up for a free GitHub account to open an issue and contact its maintainers and the community. File "C:\ai\stable-diffusion-webui\launch.py", line 129, in run_python Thank you. Not the answer you're looking for? or in your case: At this moment we are not planning to move to pytorch 1.13 yet. Now I'm :) and everything is working fine.. --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) in 1 get_ipython().system('pip3 install torch==1.2.0+cu92 torchvision==0.4.0+cu92 -f https://download.pytorch.org/whl/torch_stable.html') ----> 2 torch.is_cuda AttributeError: module 'torch' has no attribute 'is_cuda'. import torch.nn.utils.prune as prune device = torch.device("cuda" if torch.cuda.is_available() else "cpu") model = C3D(num_classes=2).to(device=device) 3cuda 4killpidnvidia-smigpu 5pytorch pytorchcuda torch : 1.12.1/ python: 3.7.6 / cuda : Please put it in a comment as you might get down-voted, AttributeError: module 'torch' has no attribute 'device', https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html, How Intuit democratizes AI development across teams through reusability. In my code below, I added this statement: device = torch.device ("cuda:0" if torch.cuda.is_available () else "cpu") net.to (device) But this seems not right or enough. stderr: Traceback (most recent call last): RuntimeError: Error running command. I am actually pruning my model using a particular torch library for pruning, device = torch.device("cuda" if torch.cuda.is_available() else "cpu")class C3D(nn.Module): """ The C3D network. How to parse XML and get instances of a particular node attribute? On a machine with PyTorch version: 1.12.1+cu116, running the following code gets error message module 'torch.cuda' has no attribute '_UntypedStorage'. This is the first time for me to run Pytorch with GPU on a linux machine. run_python("import torch; assert torch.cuda.is_available(), 'Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check'") I ran into this problem as well. - the incident has nothing to do with me; can I use this this way? GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0 We are closing the case assuming that your issue got resolved.Please raise a new thread in case of any further issues. torch torch.rfft torch.irfft torch.rfft rfft ,torch.irfft irfft The same code can run correctly on a different machine with PyTorch version: 1.8.2+cu111, Collecting environment information Sorry for late response If you preorder a special airline meal (e.g. Have you installed the CUDA version of pytorch? Making statements based on opinion; back them up with references or personal experience. If you preorder a special airline meal (e.g. You may re-send via your. You can download 3.10 Python from here: https://www.python.org/downloads/release/python-3109/, Alternatively, use a binary release of WebUI: https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases, Python 3.11.0 (main, Oct 24 2022, 18:26:48) [MSC v.1933 64 bit (AMD64)] BTW, I have to close this issue because it's not a problem of this repo. It should install the latest version. Not the answer you're looking for? For the code you've posted it makes no sense. Steps to reproduce the problem. Have a question about this project? What browsers do you use to Please click the verification link in your email. In following the Pytorch tutorial at https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html. privacy statement. See instructions here https://pytorch.org/get-started/locally/ File "C:\ai\stable-diffusion-webui\launch.py", line 360, in RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available () is Fal. pytorch1.61.6 If you don't want to update or if you are not able to do so for some reason. File "C:\ai\stable-diffusion-webui\launch.py", line 89, in run . How can I check before my flight that the cloud separation requirements in VFR flight rules are met? No, 1.13 is out, thanks for confirming @kurtamohler. Since this issue is not related to Intel Devcloud can we close the case? Commit where the problem happens. If you don't want to update or if you are not able to do so for some reason. I have not tested it on Linux, but I used the command for Windows and it worked great for me on Anaconda. I just got the following error when attempting to use amp. Please click the verification link in your email. WebLKML Archive on lore.kernel.org help / color / mirror / Atom feed * [PATCH v38 00/39] LSM: Module stacking for AppArmor [not found] <20220927195421.14713-1-casey.ref@schaufler-ca.com> @ 2022-09-27 19:53 ` Casey Schaufler 2022-09-27 19:53 ` [PATCH v38 01/39] LSM: Identify modules by more than name Casey Schaufler ` (38 more replies) 0 siblings, Sign up for a free GitHub account to open an issue and contact its maintainers and the community. AttributeError: module 'torch' has no attribute 'cuda', update some extensions, and when I restarted stable. File "C:\ai\stable-diffusion-webui\launch.py", line 272, in prepare_environment [notice] To update, run: C:\ai\stable-diffusion-webui\venv\Scripts\python.exe -m pip install --upgrade pip If you encounter an error with "RuntimeError: Couldn't install torch." File "C:\ai\stable-diffusion-webui\launch.py", line 360, in This is kind of confusing because the traceback then shows an error which doesn't make sense for the given line. To figure out the exact issue we need yourcode and steps to test from our end.Could you sharethe entire code and steps in a zip file? didnt work as well. However, the link you referenced for the code contains the following line: PyTorch data types like torch.float came with PyTorch 0.4.0, so when you use something like torch.float in earlier versions like 0.3.1 you will see this error, because torch then actually has no attribute float. As you can see, the command you used to install pytorch is different from the one here. The best approach would be to use the same PyTorch release on both machines. Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? Error code: 1 To learn more, see our tips on writing great answers. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. """, 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) in 19 parameters_to_prune, 20 pruning_method=prune.L1Unstructured, ---> 21 amount=0.2 22 ) ~/.local/lib/python3.7/site-packages/torch/nn/utils/prune.py in global_unstructured(parameters, pruning_method, **kwargs) 1017 1018 # flatten parameter values to consider them all at once in global pruning -> 1019 t = torch.nn.utils.parameters_to_vector([getattr(*p) for p in parameters]) 1020 # similarly, flatten the masks (if they exist), or use a flattened vector 1021 # of 1s of the same dimensions as t ~/.local/lib/python3.7/site-packages/torch/nn/utils/convert_parameters.py in parameters_to_vector(parameters) 18 for param in parameters: 19 # Ensure the parameters are located in the same device ---> 20 param_device = _check_param_device(param, param_device) 21 22 vec.append(param.view(-1)) ~/.local/lib/python3.7/site-packages/torch/nn/utils/convert_parameters.py in _check_param_device(param, old_param_device) 71 # Meet the first parameter 72 if old_param_device is None: ---> 73 old_param_device = param.get_device() if param.is_cuda else -1 74 else: 75 warn = False AttributeError: 'function' object has no attribute 'is_cuda', prune.global_unstructured when I use prune.global_unstructure I get that error. message, How can I import a module dynamically given the full path? Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu117 Why do we calculate the second half of frequencies in DFT? I'm stuck with this issue and the problem is I cannot use the latest version of pytorch (currently using 1.12+cu11.3). Have a question about this project? However, the error disappears if not using cuda. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. The cuda () method is defined for tensors, while it seems you are calling it on a numpy array. cuDNN version: Could not collect What pytorch version are you using? I got this error when working with Pytorch 1.12, but the error eliminated with Pytorch 1.10. How can we prove that the supernatural or paranormal doesn't exist? Just renamed it to something else and delete the file named 'torch.py' in the directory What else should I do to get right running? In your code example I cannot find anything like it. @harshit_k I added more information and you can see that the 0.1.12 is installed. Similarly to the line you posted in your question. How can I import a module dynamically given the full path? Why does Mister Mxyzptlk need to have a weakness in the comics? I tried to fix this problems by refering https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix/issues/360 and https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix/issues/67 Im running from torch.cuda.amp import GradScaler, autocast and got the error as in title. and delete current Python and "venv" folder in WebUI's directory. For more complete information about compiler optimizations, see our Optimization Notice. Asking for help, clarification, or responding to other answers. Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] What's the difference between a Python module and a Python package? Clang version: Could not collect that is, I change the code torch.cuda.set_device(self.opt.gpu_ids[0]) to torch.cuda.set_device(self.opt.gpu_ids[-1]) and torch._C._cuda_setDevice(device) to torch._C._cuda_setDevice(-1)but it still not works. Otherwise already loaded modules are omitted during import and changes are not applied. Can you provide the full error stack trace? Why does Mister Mxyzptlk need to have a weakness in the comics? Can we reopen this issue and maybe get a backport to 1.12? Whats the grammar of "For those whose stories they are"? raise RuntimeError(message) I tried to reinstall the pytorch and update to the newest version (1.4.0), still exists error.
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