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BTW, I have to close this issue because it's not a problem of this repo. RuntimeError: Error running command. module Well occasionally send you account related emails. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. How do I check if an object has an attribute? How would "dark matter", subject only to gravity, behave? 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'") What is the purpose of this D-shaped ring at the base of the tongue on my hiking boots? I don't think the function torch._C._cuda_setDevice or torch.cuda.set_device is available in a cpu-only build. torch torch.rfft torch.irfft torch.rfft rfft ,torch.irfft irfft In your code example I cannot find anything like it. So for example when changing in the imported code: torch.tensor([1, 0, 0, 0, 1, 0], dtype=torch.float) to torch.FloatTensor([1,0,0,0,1,0]) it might still complain about torch.float even if the line then doesn't contain a torch.floatanymore (it even shows the new code in the traceback). 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? and delete current Python and "venv" folder in WebUI's directory. No issues running the same script for a different dataset. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. or any other error regarding unsuccessful package (library) installation, WebAttributeError: module tensorflow has no attribute GPUOptionsTensorflow 1.X 2.XTensorflow 1.Xgpu_options = tf.GPUOptions(per_process_gpu_memory_fraction)Tensorflow 2.Xgpu_options =tf.compat.v1.GPUOptions(per_process_gpu_memory_fractio How can we prove that the supernatural or paranormal doesn't exist? How can I check before my flight that the cloud separation requirements in VFR flight rules are met? You signed in with another tab or window. RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available () is Fal. pytorch1.61.6 Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Python error "ImportError: No module named". Well occasionally send you account related emails. Is CUDA available: True If thats not possible, and assuming you are using the GPU, use torch.cuda.amp.autocast. So probably you either have somewhere used torch.float in your code or you have imported some code with torch.float. CUDA runtime version: Could not collect ERROR: No matching distribution found for torch==1.13.1+cu117. Im running from torch.cuda.amp import GradScaler, autocast and got the error as in title. If you have a line like in the example you've linked, it makes perfectly sense to get an error like this. Tried doing this and got another error =P Dreambooth can suck it. Please always post the full error traceback. With the more extensive dataset, I receive the AttributeError in the subject header and RuntimeError: Pin memory threat exited unexpectedly after 8 iterations. """, 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. File "C:\ai\stable-diffusion-webui\launch.py", line 89, in run Is it suspicious or odd to stand by the gate of a GA airport watching the planes? Find centralized, trusted content and collaborate around the technologies you use most. Have a question about this project? CUDA_MODULE_LOADING set to: You signed in with another tab or window. i actually reported that to dreambooth extension author 3 weeks ago and got told off. NVIDIA most definitely does have a PyTorch team, but the PyTorch forums are still a great place to ask questions. Thanks for contributing an answer to Stack Overflow! to your account, Everything was working well, I then proceeded to update some extensions, and when i restarted stable, I got this error message, Already up to date. AttributeError: module 'torch' has no attribute 'is_cuda' to your account. stdout: Please click the verification link in your email. If you are wondering whether you have a proper CUDA setup, that question belongs on the CUDA setup forum, and the verification steps are provided in the CUDA linux install guide. If you sign in, click, Sorry, you must verify to complete this action. You may re-send via your. However, the error disappears if not using cuda. CUDA 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. [Bug]: AttributeError: module 'torch' has no attribute Commit where the problem happens. Steps to reproduce the problem. The name of the source file was 'torch.py'. Not the answer you're looking for? What If you don't want to update or if you are not able to do so for some reason. Implement Seek on /dev/stdin file descriptor in Rust. . Nvidia driver version: 510.47.03 Since this issue is not related to Intel Devcloud can we close the case? Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Calling a function of a module by using its name (a string). Press any key to continue . with torch.autocast ('cuda'): AttributeError: module 'torch' has no attribute 'autocast' I have this version of PyTorch on Ubuntu 20.04: python Python 3.8.10 (default, I had to delete my venv folder in the end and let automatic1111 rebuild it. If you preorder a special airline meal (e.g. Already on GitHub? Clang version: Could not collect For the Nozomi from Shinagawa to Osaka, say on a Saturday afternoon, would tickets/seats typically be available - or would you need to book? Commit hash: 0cc0ee1 . class GradScaler(torch.cuda.amp.GradScaler): AttributeError: module torch.cuda has no attribute amp Environment: GPU : RTX 8000 CUDA: 10.0 Pytorch [conda] Could not collect. First of all usetorch.cuda.is_available() to detemine the CUDA availability also weneed more details tofigure out the issue.Could you provide us the commands and stepsyou followed? --------------------------------------------------------------------------- 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'. . [pip3] torchvision==0.13.1+cu116 File "C:\ai\stable-diffusion-webui\launch.py", line 360, in prepare_environment() module AttributeError: module 'torch._C' has no attribute '_cuda_setDevice' facebookresearch/detr#346 marco-rudolph mentioned this issue on Sep 1, 2021 error message, New replies are no longer allowed. 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)] To subscribe to this RSS feed, copy and paste this URL into your RSS reader. I tried to reproduce the code from https://github.com/samet-akcay/ganomaly and run the commands in the git bash software. GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3090 torch.cuda.amptorch1.6torch1.4 1.7.1 [pip3] numpy==1.23.4 [pip3] torch==1.12.1+cu116 AttributeError: module torch has no attribute irfft rfft AC Op-amp integrator with DC Gain Control in LTspice. 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, 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. How can this new ban on drag possibly be considered constitutional? Can we reopen this issue and maybe get a backport to 1.12?