Asking for help, clarification, or responding to other answers. [notice] To update, run: C:\ai\stable-diffusion-webui\venv\Scripts\python.exe -m pip install --upgrade pip Why do I get AttributeError: 'NoneType' object has no attribute 'something'? Thanks! We are closing the case assuming that your issue got resolved.Please raise a new thread in case of any further issues. vegan) just to try it, does this inconvenience the caterers and staff? If you have a line like in the example you've linked, it makes perfectly sense to get an error like this. How to use Slater Type Orbitals as a basis functions in matrix method correctly? 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 How do I check if an object has an attribute? Already on GitHub? By clicking Sign up for GitHub, you agree to our terms of service and AttributeError:partially initialized module 'torch' has no 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. raise RuntimeError(f"""{errdesc or 'Error running command'}. profile. You may just comment it out. It's better to ask on https://github.com/samet-akcay/ganomaly. Be sure to install PyTorch with CUDA support. WebAttributeError: module 'torch' has no attribute 'cuda' Press any key to continue . It is lazily initialized, so you can By clicking Sign up for GitHub, you agree to our terms of service and Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. AttributeError: module 'torch.cuda' has no attribute privacy statement. The cuda () method is defined for tensors, while it seems you are calling it on a numpy array. Why do we calculate the second half of frequencies in DFT? Is CUDA available: True You signed in with another tab or window. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. 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 You might need to install the nightly binary, since Autocasting wasnt shipped in 1.5. Connect and share knowledge within a single location that is structured and easy to search. I will spend some more time digging into this but. Find centralized, trusted content and collaborate around the technologies you use most. 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)] HIP runtime version: N/A Edit: running the same script with the less extensive dataset also produces the AttributeError in the subject. Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? 'numpy.ndarray' object has no attribute 'cuda' - PyTorch Forums Easiest way would be just updating PyTorch to 0.4.0 or higher. What is the point of Thrower's Bandolier? I am actually pruning my model using a particular torch library for pruning then this is what happens model structure device = torch.device("cuda I tried to reinstall the pytorch and update to the newest version (1.4.0), still exists error. Sign in Can we reopen this issue and maybe get a backport to 1.12? Have a question about this project? Can I tell police to wait and call a lawyer when served with a search warrant? Installing torch and torchvision Is there a single-word adjective for "having exceptionally strong moral principles"? I ran into this problem as well. Why does Mister Mxyzptlk need to have a weakness in the comics? Try to transform the numpy array to a tensor before calling tensor.cuda () 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. 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, Nvidia driver version: 510.47.03 AttributeError: module 'torch' has no attribute 'is_cuda' What else should I do to get right running? rev2023.3.3.43278. Now I'm :) and everything is working fine.. Making statements based on opinion; back them up with references or personal experience. RuntimeError: Couldn't install torch. You may try updating. [notice] A new release of pip available: 22.3 -> 23.0.1 AttributeError: 'module' object has no attribute 'urlopen'. You may re-send via your ROCM used to build PyTorch: N/A, OS: Ubuntu 22.04.1 LTS (x86_64) The default one installed is only with CPU support. Try removing it then reinstalling. . AttributeError: 'datetime' module has no attribute 'strptime', Error: " 'dict' object has no attribute 'iteritems' ". I had to delete my venv folder in the end and let automatic1111 rebuild it. If you sign in, click, Sorry, you must verify to complete this action. rev2023.3.3.43278. PyTorch version: 1.12.1+cu116 Why do many companies reject expired SSL certificates as bugs in bug bounties? Not the answer you're looking for? What is the purpose of non-series Shimano components? If you sign in, click, Sorry, you must verify to complete this action. update some extensions, and when I restarted stable. Pytorch Simple Linear Sigmoid Network not learning. What video game is Charlie playing in Poker Face S01E07? rev2023.3.3.43278. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. You signed in with another tab or window. prepare_environment() Connect and share knowledge within a single location that is structured and easy to search. GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3090 Since this issue is not related to Intel Devcloud can we close the case? AttributeError: module 'torch.cuda' has no attribtue 'amp' #1260 How do I unload (reload) a Python module? Thanks for contributing an answer to Stack Overflow! Error code: 1 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? In such a case restarting the kernel helps. Is XNNPACK available: True, Versions of relevant libraries: NVIDIA doesnt develop, maintain, or support pytorch. Why are Suriname, Belize, and Guinea-Bissau classified as "Small Island Developing States"? 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? Error: " 'dict' object has no attribute 'iteritems' ", Getting Nan result out of ResNet101 backbone with Kitti images. Windows. 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? Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Calling a function of a module by using its name (a string). I have same error after install pytorch from channel "soumith" with this command: After reinstalling from pytorch channel all works fine. Commit where the problem happens. How can I check before my flight that the cloud separation requirements in VFR flight rules are met? No issues running the same script for a different dataset. Asking for help, clarification, or responding to other answers. We tried running your code.The issue seems to be with the quantized.Conv3d, instead you can use normal convolution3d. 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? Please click the verification link in your email. Also happened to me and dreambooth was one of the ones that updated! The text was updated successfully, but these errors were encountered: I don't think the function torch._C._cuda_setDevice or torch.cuda.set_device is available in a cpu-only build. Tried doing this and got another error =P Dreambooth can suck it. Commit hash: 0cc0ee1 If you preorder a special airline meal (e.g. torch torch.rfft torch.irfft torch.rfft rfft ,torch.irfft irfft Sorry for late response return run(f'"{python}" -c "{code}"', desc, errdesc) I just checked that, it's strange it's 0.1.12_1. https://github.com/samet-akcay/ganomaly/blob/master/options.py#L40 In following the Pytorch tutorial at https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html. "After the incident", I started to be more careful not to trip over things. microsoft/Bringing-Old-Photos-Back-to-Life#100. module 'torch.cuda' has no attribute '_UntypedStorage'. 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_. CUDA runtime version: Could not collect Does ZnSO4 + H2 at high pressure reverses to Zn + H2SO4? Already on GitHub? torch.cuda.amptorch1.6torch1.4 1.7.1 yes I reported an issue yesterday and met with much the same response. please downgrade (or upgrade) to the latest version of 3.10 Python update some extensions, and when I restarted stable. AttributeError: module torch.cuda has no attribute amp torch cannot detect cuda anymore, most likely you'll need to reinstall torch. CUDA_MODULE_LOADING set to: File "C:\ai\stable-diffusion-webui\launch.py", line 89, in run and delete current Python and "venv" folder in WebUI's directory. 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. Can carbocations exist in a nonpolar solvent? No, 1.13 is out, thanks for confirming @kurtamohler. Powered by Discourse, best viewed with JavaScript enabled, AttributeError: module 'torch.cuda' has no attribute 'amp'. How can this new ban on drag possibly be considered constitutional? Powered by Discourse, best viewed with JavaScript enabled, AttributeError: module 'torch.cuda' has no attribute '_UntypedStorage'. 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 Have a question about this project? Why do small African island nations perform better than African continental nations, considering democracy and human development? Hi, Sorry for the late response. We tried running your code.The issue seems to be with the quantized.Conv3d, instead you can use normal convolution module 'torch' has no attribute 'cuda [pip3] numpy==1.23.4 Command: "C:\ai\stable-diffusion-webui\venv\Scripts\python.exe" -m pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 --extra-index-url https://download.pytorch.org/whl/cu117 The best approach would be to use the same PyTorch release on both machines. 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. Do roots of these polynomials approach the negative of the Euler-Mascheroni constant? didnt work as well. python AttributeError: 'module' object has no attribute 'dumps' vegan) just to try it, does this inconvenience the caterers and staff? Traceback (most recent call last): CUDA used to build PyTorch: 11.6 module 'torch.cuda' has no attribute '_UntypedStorage' #88839 . or in your case: Find centralized, trusted content and collaborate around the technologies you use most. Please edit your question with the full stack trace (and remove your comments). Making statements based on opinion; back them up with references or personal experience. Please click the verification link in your email. GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0 I could fix this on the 1.12 branch, but will there be a 1.12.2 release? Is it suspicious or odd to stand by the gate of a GA airport watching the planes? Similarly to the line you posted in your question. - the incident has nothing to do with me; can I use this this way? class GradScaler(torch.cuda.amp.GradScaler): AttributeError: module torch.cuda has no attribute amp Environment: GPU : RTX 8000 CUDA: 10.0 Pytorch Help for those needing help starting or connecting to the Intel DevCloud, The Intel sign-in experience has changed to support enhanced security controls. Implement Seek on /dev/stdin file descriptor in Rust. privacy statement. AttributeError:partially initialized module 'torch' has no attribute 'cuda', How Intuit democratizes AI development across teams through reusability. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. In torch.distributed, how to average gradients on different GPUs correctly? Well occasionally send you account related emails. venv "C:\ai\stable-diffusion-webui\venv\Scripts\Python.exe" Making statements based on opinion; back them up with references or personal experience. Older version of PyTorch: with torch.autocast('cuda'): I was showing a friend something and told him to update his extensions, and he got this error. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. or can I please get some context of why this is occuring? prepare_environment() So something is definitely hostile as you said =P. Thank you. How do/should administrators estimate the cost of producing an online introductory mathematics class? AttributeError: module torch has no attribute irfft rfft How to handle a hobby that makes income in US, Linear Algebra - Linear transformation question. 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. RuntimeError: Error running command. Steps to reproduce the problem. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Seemed to resolve it for the other people on that thread earlier too. You may re-send via your. Sign in In my case command looks like: But you must obtain package list for yours machine form this site: Have a question about this project? How to parse XML and get instances of a particular node attribute? I'm stuck with this issue and the problem is I cannot use the latest version of pytorch (currently using 1.12+cu11.3). 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 profile. What platforms do you use to access the UI ? Why does it seem like I am losing IP addresses after subnetting with the subnet mask of 255.255.255.192/26? You signed in with another tab or window. . This is kind of confusing because the traceback then shows an error which doesn't make sense for the given line. Still get this error--module 'torch._C' has no attribute '_cuda 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'" Very strange. See instructions here https://pytorch.org/get-started/locally/ By clicking Sign up for GitHub, you agree to our terms of service and Please always post the full error traceback. File "C:\ai\stable-diffusion-webui\launch.py", line 272, in prepare_environment Just renamed it to something else and delete the file named 'torch.py' in the directory 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. # Note: the code can run if the following two lines are commented out. How would "dark matter", subject only to gravity, behave? [pip3] torchvision==0.13.1+cu116 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. The name of the source file was 'torch.py'. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. 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: For the Nozomi from Shinagawa to Osaka, say on a Saturday afternoon, would tickets/seats typically be available - or would you need to book? Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Sign in """, 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. I have two machines that I need to check my code across one is Ubuntu 18.04 and the other is Ubuntu 20.04. module [pip3] torch==1.12.1+cu116 File "C:\ai\stable-diffusion-webui\launch.py", line 360, in The text was updated successfully, but these errors were encountered: This problem doesn't exist in the newer pytorch 1.13. How can we prove that the supernatural or paranormal doesn't exist? 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 Please click the verification link in your email. ERROR: No matching distribution found for torch==1.13.1+cu117. module 3cuda 4killpidnvidia-smigpu 5pytorch pytorchcuda torch : 1.12.1/ python: 3.7.6 / cuda : What should have happened? stdout: How do I check if an object has an attribute? 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. Well occasionally send you account related emails. As you can see, the command you used to install pytorch is different from the one here. Im running from torch.cuda.amp import GradScaler, autocast and got the error as in title. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy.
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