What is the purpose of this D-shaped ring at the base of the tongue on my hiking boots? 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. We tried running your code.The issue seems to be with the quantized.Conv3d, instead you can use normal convolution3d. 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? You may just comment it out. didnt work as well. https://pytorch.org/. If you encounter an error with "RuntimeError: Couldn't install torch." update some extensions, and when I restarted stable. 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? I'm running without dreambooth now as I had to use CPU training anyway with my 4Gb card and they made that harder recently so I'd gone to Colab, which is much quicker anyway. Commit hash: 0cc0ee1 This 100% happened after an extension update. Already on GitHub? Sorry for late response In such a case restarting the kernel helps. So if there was an error in the old code this error might still occur and the traceback then points to the line you have just corrected. Later in the night i did the same and got the same error. This is more of a comment then an answer. Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu117 Why is this sentence from The Great Gatsby grammatical? On a machine with PyTorch version: 1.12.1+cu116, running the following code gets error message module 'torch.cuda' has no attribute '_UntypedStorage'. Shouldn't this install latest version? So probably you either have somewhere used torch.float in your code or you have imported some code with torch.float. File "C:\ai\stable-diffusion-webui\launch.py", line 105, in run Traceback (most recent call last): File "D:/anaconda/envs/ml/Lib/site-packages/torch_sparse/__init__.py", line 4, in import torch File "D:\anaconda\envs\ml\lib\site-packages\torch_, File "D:\anaconda\envs\ml\lib\platform.py", line 897, in system return uname().system File "D:\anaconda\envs\ml\lib\platform.py", line 785, in uname node = _node() File "D:\anaconda\envs\ml\lib\platform.py", line 588, in _node import socket File "D:\anaconda\envs\ml\lib\socket.py", line 52, in import os, sys, io, selectors, File "D:\anaconda\envs\ml\lib\selectors.py", line 12, in import select File "D:\anaconda\envs\ml\Lib\site-packages\torch_sparse\select.py", line 1, in from torch_sparse.tensor import SparseTensor File "D:\anaconda\envs\ml\lib\site-packages\torch_sparse_. Is there a single-word adjective for "having exceptionally strong moral principles"? What browsers do you use to Powered by Discourse, best viewed with JavaScript enabled, AttributeError: module 'torch.cuda' has no attribute 'amp'. How to use Slater Type Orbitals as a basis functions in matrix method correctly? I got this error when working with Pytorch 1.12, but the error eliminated with Pytorch 1.10. - the incident has nothing to do with me; can I use this this way? File "", line 1, in Have you installed the CUDA version of pytorch? """, 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. Sorry, you must verify to complete this action. Im running from torch.cuda.amp import GradScaler, autocast and got the error as in title. Do roots of these polynomials approach the negative of the Euler-Mascheroni constant? If you have a line like in the example you've linked, it makes perfectly sense to get an error like this. Does ZnSO4 + H2 at high pressure reverses to Zn + H2SO4? How can I import a module dynamically given the full path? Webimport 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) Also happened to me and dreambooth was one of the ones that updated! https://github.com/samet-akcay/ganomaly/blob/master/options.py#L40 AttributeError:partially initialized module 'torch' has no attribute 'cuda', How Intuit democratizes AI development across teams through reusability. NVIDIA doesnt develop, maintain, or support pytorch. RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available () is Fal. pytorch1.61.6 File "C:\ai\stable-diffusion-webui\launch.py", line 360, in It seems part of these problems have been solved and the data is automatically downloaded when I run the codes. . Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Calling a function of a module by using its name (a string). AnacondatorchAttributeError: module 'torch' has no attribute 'irfft'module 'torch' has no attribute 'no_grad' Is there a single-word adjective for "having exceptionally strong moral principles"? [pip3] torch==1.12.1+cu116 This is kind of confusing because the traceback then shows an error which doesn't make sense for the given line. RuntimeError: Error running command. However, the error is not fatal. . Please click the verification link in your email. To learn more, see our tips on writing great answers. The nature of simulating nature: A Q&A with IBM Quantum researcher Dr. Jamie We've added a "Necessary cookies only" option to the cookie consent popup. to your account, On a machine with PyTorch version: 1.12.1+cu116, running the following code gets error message module 'torch.cuda' has no attribute '_UntypedStorage'. privacy statement. It should install the latest version. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. Why does Mister Mxyzptlk need to have a weakness in the comics? Does your environment recognize torch.cuda? Sign in Why does it seem like I am losing IP addresses after subnetting with the subnet mask of 255.255.255.192/26? With the more extensive dataset, I receive the AttributeError in the subject header and RuntimeError: Pin memory threat exited unexpectedly after 8 iterations. The same code can run correctly on a different machine with PyTorch version: 1.8.2+cu111, Collecting environment information To learn more, see our tips on writing great answers. [pip3] torchaudio==0.12.1+cu116 Is debug build: False Easiest way would be just updating PyTorch to 0.4.0 or higher. However, the error disappears if not using cuda. By clicking Sign up for GitHub, you agree to our terms of service and 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).