In my code below, I added this statement: But this seems not right or enough. I tried to reinstall the pytorch and update to the newest version (1.4.0), still exists error. (Initially, I also got the same error, that was before following this). This 100% happened after an extension update. 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 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 can I check before my flight that the cloud separation requirements in VFR flight rules are met? [pip3] numpy==1.23.4 This program is tested with 3.10.6 Python, but you have 3.11.0. Is XNNPACK available: True, Versions of relevant libraries: AttributeError:partially initialized module 'torch' has no attribute 'cuda', How Intuit democratizes AI development across teams through reusability. File "C:\ai\stable-diffusion-webui\launch.py", line 129, in run_python As you did not include a full error traceback I can only conjecture what the problem is. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Calling a function of a module by using its name (a string). AttributeError: 'datetime' module has no attribute 'strptime', Error: " 'dict' object has no attribute 'iteritems' ". vegan) just to try it, does this inconvenience the caterers and staff? Press any key to continue . You signed in with another tab or window. You just need to find the How do I check if an object has an attribute? Batch split images vertically in half, sequentially numbering the output files, Euler: A baby on his lap, a cat on his back thats how he wrote his immortal works (origin? AttributeError: module 'torch' has no attribute 'is_cuda' 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 Module You may re-send via your For the code you've posted it makes no sense. Hi Franck, Thanks for the update. To figure out the exact issue we need your code and steps to test from our end.Could you share the entire code an Can you provide the full error stack trace? rev2023.3.3.43278. What platforms do you use to access the UI ? Clang version: Could not collect Help for those needing help starting or connecting to the Intel DevCloud, The Intel sign-in experience has changed to support enhanced security controls. or any other error regarding unsuccessful package (library) installation, So something is definitely hostile as you said =P. You just need to find the line (or lines) where torch.float is used and change it. By clicking Sign up for GitHub, you agree to our terms of service and Thanks a lot! if update to an extension did this, please let us know - in my book, that kind of behavior is borderline hostile as an extension should NOT change core libraries, only libraries that are extra for that extension. It seems that you need to add --device cpu in the command line to make it work. Difference between "select-editor" and "update-alternatives --config editor". File "C:\ai\stable-diffusion-webui\launch.py", line 105, in run 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. Please click the verification link in your email. I'm using Windows, conda environment, installed Pytorch-1.7.1, Torchvision-0.8.2, Cuda-Toolkit-11.0 > all compatible. Try to transform the numpy array to a tensor before calling tensor.cuda () Do roots of these polynomials approach the negative of the Euler-Mascheroni constant? didnt work as well. rev2023.3.3.43278. Nvidia driver version: 510.47.03 PyTorch - "Attribute Error: module 'torch' has no attribute 'float' 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. Help for those needing help starting or connecting to the Intel DevCloud, The Intel sign-in experience has changed to support enhanced security controls. or can I please get some context of why this is occuring? Try removing it then reinstalling. Shouldn't it be pip unistall torch and pip install torch? Since this issue is not related to Intel Devcloud can we close the case? Why do small African island nations perform better than African continental nations, considering democracy and human development? WebAttributeError: module 'torch' has no attribute 'cuda' Press any key to continue . I don't think the function torch._C._cuda_setDevice or torch.cuda.set_device is available in a cpu-only build. Is it suspicious or odd to stand by the gate of a GA airport watching the planes? Why do we calculate the second half of frequencies in DFT? cuDNN version: Could not collect 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) It should install the latest version. Thanks for your answer. 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? AttributeError: module 'torch.cuda' has no attribute Steps to reproduce the problem. . Is debug build: False If you sign in, click, Sorry, you must verify to complete this action. What is the difference between paper presentation and poster presentation? This is more of a comment then an answer. Does ZnSO4 + H2 at high pressure reverses to Zn + H2SO4? Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. 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. Connect and share knowledge within a single location that is structured and easy to search. Is there a single-word adjective for "having exceptionally strong moral principles"? Easiest way would be just updating PyTorch to 0.4.0 or higher. Asking for help, clarification, or responding to other answers. Traceback (most recent call last): AttributeError: module 'torch.cuda' has no attribute '_UntypedStorage' Accelerated Computing CUDA CUDA Programming and Performance cuda, pytorch [pip3] torch==1.12.1+cu116 How to fix "Attempted relative import in non-package" even with __init__.py, Equation alignment in aligned environment not working properly, Trying to understand how to get this basic Fourier Series. class GradScaler(torch.cuda.amp.GradScaler): AttributeError: module torch.cuda has no attribute amp Environment: GPU : RTX 8000 CUDA: 10.0 Pytorch 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_. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. What is the point of Thrower's Bandolier? torch cannot detect cuda anymore, most likely you'll need to reinstall torch. Sign in I am actually pruning my model using a particular torch library for pruning then this is what happens model structure device = torch.device("cuda CUDA runtime version: Could not collect Command: "C:\ai\stable-diffusion-webui\venv\Scripts\python.exe" -c "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'" This topic was automatically closed 14 days after the last reply. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. I'm stuck with this issue and the problem is I cannot use the latest version of pytorch (currently using 1.12+cu11.3). You may re-send via your 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. or in your case: In such a case restarting the kernel helps. What else should I do to get right running? In torch.distributed, how to average gradients on different GPUs correctly? As you can see, the version 0.1.12 is installed: Although this question is very old, I would recommend those who are facing this problem to visit pytorch.org and check the command to install pytorch from there, there is a section dedicated to this: How can I import a module dynamically given the full path? File "C:\ai\stable-diffusion-webui\launch.py", line 89, in run message, If thats not possible, and assuming you are using the GPU, use torch.cuda.amp.autocast. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Thank you. 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. How do I check if an object has an attribute? update some extensions, and when I restarted stable. please help I just sent the iynb model Why is there a voltage on my HDMI and coaxial cables? The text was updated successfully, but these errors were encountered: This problem doesn't exist in the newer pytorch 1.13. 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. How can we prove that the supernatural or paranormal doesn't exist? run(f'"{python}" -m {torch_command}', "Installing torch and torchvision", "Couldn't install torch", live=True) ERROR: No matching distribution found for torch==1.13.1+cu117. I have two machines that I need to check my code across one is Ubuntu 18.04 and the other is Ubuntu 20.04. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Sign in RuntimeError: Error running command. Still get this error--module 'torch._C' has no attribute '_cuda_setDevice', https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix/issues/360, https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix/issues/67, https://github.com/samet-akcay/ganomaly/blob/master/options.py#L40, module 'torch._C' has no attribute '_cuda_setDevice', AttributeError: module 'torch._C' has no attribute '_cuda_setDevice'. NVIDIA most definitely does have a PyTorch team, but the PyTorch forums are still a great place to ask questions. 3cuda 4killpidnvidia-smigpu 5pytorch pytorchcuda torch : 1.12.1/ python: 3.7.6 / cuda : Why do I get AttributeError: 'NoneType' object has no attribute 'something'? For the Nozomi from Shinagawa to Osaka, say on a Saturday afternoon, would tickets/seats typically be available - or would you need to book? Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. stdout: Error: " 'dict' object has no attribute 'iteritems' ", Getting Nan result out of ResNet101 backbone with Kitti images. This is the first time for me to run Pytorch with GPU on a linux machine. You signed in with another tab or window. Thanks for contributing an answer to Stack Overflow! I have not tested it on Linux, but I used the command for Windows and it worked great for me on Anaconda. [notice] A new release of pip available: 22.3 -> 23.0.1 Connect and share knowledge within a single location that is structured and easy to search. vegan) just to try it, does this inconvenience the caterers and staff? to your account. In following the Pytorch tutorial at https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html. Is there a single-word adjective for "having exceptionally strong moral principles"? What does the "yield" keyword do in Python? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] Hi, Thank you for posting your questions. First of all use torch.cuda.is_available() to detemine the CUDA availability also we need more details 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) How to handle a hobby that makes income in US, Linear Algebra - Linear transformation question. AttributeError: module 'torch' has no attribute 'device' Error code: 1 @emailweixu please reopen if error repros on pytorch 1.13. Please click the verification link in your email. For more complete information about compiler optimizations, see our Optimization Notice. prepare_environment() PyTorch version: 1.12.1+cu116 You may just comment it out. Now I'm :) and everything is working fine.. "After the incident", I started to be more careful not to trip over things. Sign in profile. Pytorch Simple Linear Sigmoid Network not learning. To learn more, see our tips on writing great answers. But I meet the following problems and it seems difficult for me to fix it by myself: the main error is "AttributeError: module 'torch._C' has no attribute '_cuda_setDevice'". It is lazily initialized, so you can AC Op-amp integrator with DC Gain Control in LTspice. New replies are no longer allowed. Im running from torch.cuda.amp import GradScaler, autocast and got the error as in title. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Calling a function of a module by using its name (a string). 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. Is it suspicious or odd to stand by the gate of a GA airport watching the planes? What is the purpose of non-series Shimano components? Commit where the problem happens. No issues running the same script for a different dataset. Also happened to me and dreambooth was one of the ones that updated! module The best approach would be to use the same PyTorch release on both machines. WebAttributeError: module 'torch' has no attribute 'cuda' Press any key to continue . Can I tell police to wait and call a lawyer when served with a search warrant? Thanks! What is the point of Thrower's Bandolier? We are closing the case assuming that your issue got resolved.Please raise a new thread in case of any further issues. GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0 Please see. If you don't want to update or if you are not able to do so for some reason. # Note: the code can run if the following two lines are commented out. If you don't want to update or if you are not able to do so for some reason. You signed in with another tab or window. Installing torch and torchvision How can this new ban on drag possibly be considered constitutional? At this moment we are not planning to move to pytorch 1.13 yet. You may try updating. I was showing a friend something and told him to update his extensions, and he got this error. if update to an extension did this, please let us know - in my book, that kind of behavior is borderline hostile as extension should NOT change core libraries, only libraries that are extra for that extension. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Asking for help, clarification, or responding to other answers. module What In my case command looks like: But you must obtain package list for yours machine form this site: I tried to reproduce the code from https://github.com/samet-akcay/ganomaly and run the commands in the git bash software. [Bug]: AttributeError: module 'torch' has no attribute [conda] Could not collect. The cuda () method is defined for tensors, while it seems you are calling it on a numpy array. return run(f'"{python}" -c "{code}"', desc, errdesc) Have you installed the CUDA version of pytorch? No, 1.13 is out, thanks for confirming @kurtamohler. Have a question about this project? Find centralized, trusted content and collaborate around the technologies you use most. What browsers do you use to 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. Python platform: Linux-5.15.0-52-generic-x86_64-with-glibc2.35 """, 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. 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). The same code can run correctly on a different machine with PyTorch version: 1.8.2+cu111, Collecting environment information I got this error when working with Pytorch 1.12, but the error eliminated with Pytorch 1.10. Sorry, you must verify to complete this action. AttributeError:partially initialized module 'torch' has no attribute 'cuda' Ask Question Asked Viewed 894 times 0 In the __init__.py of the module named torch MIOpen runtime version: N/A What's the difference between a Python module and a Python package? Seemed to resolve it for the other people on that thread earlier too. CMake version: version 3.22.1 AttributeError: module 'torch' has no attribute 'is_cuda' By clicking Sign up for GitHub, you agree to our terms of service and Whats the grammar of "For those whose stories they are"? By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. It seems part of these problems have been solved and the data is automatically downloaded when I run the codes. . Commit hash: 0cc0ee1 stderr: Traceback (most recent call last): By clicking Sign up for GitHub, you agree to our terms of service and 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.
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