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'") How can I import a module dynamically given the full path? Easiest way would be just updating PyTorch to 0.4.0 or higher. Is there a single-word adjective for "having exceptionally strong moral principles"? 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 What browsers do you use to Have you installed the CUDA version of pytorch? ), Implement Seek on /dev/stdin file descriptor in Rust. Sign in venv "C:\ai\stable-diffusion-webui\venv\Scripts\Python.exe" https://github.com/samet-akcay/ganomaly/blob/master/options.py#L40 What is the purpose of this D-shaped ring at the base of the tongue on my hiking boots? By clicking Sign up for GitHub, you agree to our terms of service and Now I'm :) and everything is working fine.. If you don't want to update or if you are not able to do so for some reason. 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. Sign in 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. For more complete information about compiler optimizations, see our Optimization Notice. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. ERROR: Could not find a version that satisfies the requirement torch==1.13.1+cu117 (from versions: none) I tried to reinstall the pytorch and update to the newest version (1.4.0), still exists error. prepare_environment() Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu117 By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. What pytorch version are you using? Implement Seek on /dev/stdin file descriptor in Rust. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Sorry, you must verify to complete this action. How to use Slater Type Orbitals as a basis functions in matrix method correctly? or can I please get some context of why this is occuring? 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? raise RuntimeError(message) Im wondering if my cuda setup is problematic? Powered by Discourse, best viewed with JavaScript enabled, AttributeError: module 'torch.cuda' has no attribute '_UntypedStorage'. Connect and share knowledge within a single location that is structured and easy to search. Similarly to the line you posted in your question. Im running from torch.cuda.amp import GradScaler, autocast and got the error as in title. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. In torch.distributed, how to average gradients on different GPUs correctly? In following the Pytorch tutorial at https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html. Already on GitHub? torch.cuda.amp is available in the nightly binaries, so you would have to update. Yesterday I installed Pytorch with "conda install pytorch torchvision -c pytorch". I had to delete my venv folder in the end and let automatic1111 rebuild it. We tried running your code.The issue seems to be with the quantized.Conv3d, instead you can use normal convolution3d. Do you know how I can fix it? Whats the grammar of "For those whose stories they are"? What How do/should administrators estimate the cost of producing an online introductory mathematics class? Re:AttributeError: module 'torch' has no attribute AttributeError: module 'torch' has no attribute 'is_cuda', Intel Connectivity Research Program (Private), oneAPI Registration, Download, Licensing and Installation, Intel Trusted Execution Technology (Intel TXT), Intel QuickAssist Technology (Intel QAT), Gaming on Intel Processors with Intel Graphics. Making statements based on opinion; back them up with references or personal experience. In my code below, I added this statement: But this seems not right or enough. """, 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. What video game is Charlie playing in Poker Face S01E07? Help for those needing help starting or connecting to the Intel DevCloud, The Intel sign-in experience has changed to support enhanced security controls. CUDA used to build PyTorch: 11.6 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) Thank you. Pytorch Simple Linear Sigmoid Network not learning. Why do many companies reject expired SSL certificates as bugs in bug bounties? Python platform: Linux-5.15.0-52-generic-x86_64-with-glibc2.35 Follow Up: struct sockaddr storage initialization by network format-string, Full text of the 'Sri Mahalakshmi Dhyanam & Stotram'. Edit: running the same script with the less extensive dataset also produces the AttributeError in the subject. So I've ditched this extension for now, since I was no longer really using it anyway and updating it regularly breaks my Automatic1111 environment. In your code example I cannot find anything like it. I got this error when working with Pytorch 1.12, but the error eliminated with Pytorch 1.10. As you did not include a full error traceback I can only conjecture what the problem is. Since this issue is not related to Intel Devcloud can we close the case? File "C:\ai\stable-diffusion-webui\launch.py", line 89, in run 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. Is it suspicious or odd to stand by the gate of a GA airport watching the planes? torch.cuda.amptorch1.6torch1.4 1.7.1 Easiest way would be just updating PyTorch to 0.4.0 or higher. For more complete information about compiler optimizations, see our Optimization Notice. Traceback (most recent call last): By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. 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. message, Does ZnSO4 + H2 at high pressure reverses to Zn + H2SO4? - the incident has nothing to do with me; can I use this this way? 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) How can I import a module dynamically given the full path? 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'. or any other error regarding unsuccessful package (library) installation, @harshit_k I added more information and you can see that the 0.1.12 is installed. Can carbocations exist in a nonpolar solvent? No, 1.13 is out, thanks for confirming @kurtamohler. AttributeError: module 'torch.cuda' has no attribute '_UntypedStorage' Accelerated Computing CUDA CUDA Programming and Performance cuda, pytorch File "C:\ai\stable-diffusion-webui\launch.py", line 129, in run_python RuntimeError: Error running command. For the Nozomi from Shinagawa to Osaka, say on a Saturday afternoon, would tickets/seats typically be available - or would you need to book? Can you provide the full error stack trace? I have two machines that I need to check my code across one is Ubuntu 18.04 and the other is Ubuntu 20.04. Commit where the problem happens. Thanks for your answer. AttributeError: 'module' object has no attribute 'urlopen'. Is CUDA available: True 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. AttributeError: module 'torch._C' has no attribute '_cuda_setDevice' facebookresearch/detr#346 marco-rudolph mentioned this issue on Sep 1, 2021 error 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 do I check if an object has an attribute? Why does it seem like I am losing IP addresses after subnetting with the subnet mask of 255.255.255.192/26? How to parse XML and get instances of a particular node attribute? Installing torch and torchvision 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? yes I reported an issue yesterday and met with much the same response. Tried doing this and got another error =P Dreambooth can suck it. This topic was automatically closed 14 days after the last reply. Press any key to continue . If you sign in, click, Sorry, you must verify to complete this action. In the __init__.py of the module named torch-sparse, it is so bizarre and confusing .And torch.__version__ == 1.8.0 , torch-sparse == 0.6.11. If you encounter an error with "RuntimeError: Couldn't install torch." PyTorch version: 1.12.1+cu116 How do I check if an object has an attribute? Using Kolmogorov complexity to measure difficulty of problems? Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Asking for help, clarification, or responding to other answers. What else should I do to get right running? CMake version: version 3.22.1 . By clicking Sign up for GitHub, you agree to our terms of service and AC Op-amp integrator with DC Gain Control in LTspice. Is debug build: False You may just comment it out. Well occasionally send you account related emails. The name of the source file was 'torch.py'. Find centralized, trusted content and collaborate around the technologies you use most. 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 . I'm using Windows, conda environment, installed Pytorch-1.7.1, Torchvision-0.8.2, Cuda-Toolkit-11.0 > all compatible. File "C:\ai\stable-diffusion-webui\launch.py", line 360, in [pip3] torchvision==0.13.1+cu116 Asking for help, clarification, or responding to other answers. What does the "yield" keyword do in Python? Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Thanks for contributing an answer to Stack Overflow! please downgrade (or upgrade) to the latest version of 3.10 Python . How can I check before my flight that the cloud separation requirements in VFR flight rules are met? (Initially, I also got the same error, that was before following this). ERROR: No matching distribution found for torch==1.13.1+cu117. Why does Mister Mxyzptlk need to have a weakness in the comics? 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? to your account. --------------------------------------------------------------------------- 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'. Thanks! You may re-send via your. module 'torch.cuda' has no attribute '_UntypedStorage'. Error code: 1 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, You may just comment it out. File "C:\ai\stable-diffusion-webui\launch.py", line 360, in 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'". File "", line 1, in I havent found this issue anywhere else yet Im running pytorch3D (0.3.0), which requires pytorch (1.12.1). Sign in torch cannot detect cuda anymore, most likely you'll need to reinstall torch. How can we prove that the supernatural or paranormal doesn't exist? Traceback (most recent call last): I tried to reproduce the code from https://github.com/samet-akcay/ganomaly and run the commands in the git bash software. The latter error is associated with the pytorch dataloader, but all suggested solutions say to update to pytorch >= 1.7, which I have. NVIDIA doesnt develop, maintain, or support pytorch. Please click the verification link in your email. AttributeError: module 'torch' has no attribute 'cuda', update some extensions, and when I restarted stable. Clang version: Could not collect 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, 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. Just renamed it to something else and delete the file named 'torch.py' in the directory https://pytorch.org/. Already on GitHub? It should install the latest version. I am actually pruning my model using a particular torch library for pruning then this is what happens model structure device = torch.device("cuda How do I unload (reload) a Python module? So something is definitely hostile as you said =P. Making statements based on opinion; back them up with references or personal experience. Not the answer you're looking for? If thats not possible, and assuming you are using the GPU, use torch.cuda.amp.autocast. rev2023.3.3.43278. This is just a side node, because your code and error message do not match: When importing code to Jupyter Notebook it is safest to restart the kernel after doing changes to the imported code. Asking for help, clarification, or responding to other answers. In such a case restarting the kernel helps. Pytorchpthh5python AttributeError: 'module' object has no attribute 'dumps'Keras What is the purpose of non-series Shimano components? Please click the verification link in your email. You may re-send via your Shouldn't this install latest version? PyTorch - "Attribute Error: module 'torch' has no attribute 'float', How Intuit democratizes AI development across teams through reusability. File "C:\ai\stable-diffusion-webui\launch.py", line 272, in prepare_environment 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. The text was updated successfully, but these errors were encountered: This problem doesn't exist in the newer pytorch 1.13. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Calling a function of a module by using its name (a string). Why do we calculate the second half of frequencies in DFT? Yes twice updates to dreambooth have screwed my python environment badly. RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available () is Fal. pytorch1.61.6 and delete current Python and "venv" folder in WebUI's directory. 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: By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. 0cc0ee1. This 100% happened after an extension update. Why is there a voltage on my HDMI and coaxial cables? I was stucked by this problem by few days and I hope someone could help me. Does your environment recognize torch.cuda? We are closing the case assuming that your issue got resolved.Please raise a new thread in case of any further issues. """, 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. On a machine with PyTorch version: 1.12.1+cu116, running the following code gets error message module 'torch.cuda' has no attribute '_UntypedStorage'. New replies are no longer allowed. Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? At this moment we are not planning to move to pytorch 1.13 yet. Commit hash: 0cc0ee1 You have to call the decorator as given in the docs and examples: Powered by Discourse, best viewed with JavaScript enabled, Older version of PyTorch: with torch.autocast('cuda'): AttributeError: module 'torch' has no attribute 'autocast'. How would "dark matter", subject only to gravity, behave? @emailweixu please reopen if error repros on pytorch 1.13. This is more of a comment then an answer. [pip3] numpy==1.23.4 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_.

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