module 'torch' has no attribute 'cuda

Well occasionally send you account related emails. Making statements based on opinion; back them up with references or personal experience. Also happened to me and dreambooth was one of the ones that updated! module If you preorder a special airline meal (e.g. New replies are no longer allowed. If you don't want to update or if you are not able to do so for some reason. This happened to me too the last dreambooth update made some requirements change that screwed the python environment. [pip3] torchvision==0.13.1+cu116 privacy statement. 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. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. Using Kolmogorov complexity to measure difficulty of problems? Making statements based on opinion; back them up with references or personal experience. Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] What should have happened? AttributeError: module 'torch' has no attribute 'device' 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, Steps to reproduce the problem. 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? The cuda () method is defined for tensors, while it seems you are calling it on a numpy array. CUDA_MODULE_LOADING set to: 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 However, the error disappears if not using cuda. microsoft/Bringing-Old-Photos-Back-to-Life#100. I'm using Windows, conda environment, installed Pytorch-1.7.1, Torchvision-0.8.2, Cuda-Toolkit-11.0 > all compatible. 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)] Error code: 1 Find centralized, trusted content and collaborate around the technologies you use most. venv "C:\ai\stable-diffusion-webui\venv\Scripts\Python.exe" ), Implement Seek on /dev/stdin file descriptor in Rust. RuntimeError: Error running command. . Sorry, you must verify to complete this action. Have a question about this project? 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. In your code example I cannot find anything like it. Why do I get AttributeError: 'NoneType' object has no attribute 'something'? torch cannot detect cuda anymore, most likely you'll need to reinstall torch. Why does Mister Mxyzptlk need to have a weakness in the comics? Nvidia driver version: 510.47.03 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. If thats not possible, and assuming you are using the GPU, use torch.cuda.amp.autocast. vegan) just to try it, does this inconvenience the caterers and staff? CMake version: version 3.22.1 Are there tables of wastage rates for different fruit and veg? module I could fix this on the 1.12 branch, but will there be a 1.12.2 release? 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). Please edit your question with the full stack trace (and remove your comments). . PyTorch - "Attribute Error: module 'torch' has no attribute 'float' To subscribe to this RSS feed, copy and paste this URL into your RSS reader. 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? Thanks! rev2023.3.3.43278. module Later in the night i did the same and got the same error. I ran into this problem as well. How do I check if an object has an attribute? Can we reopen this issue and maybe get a backport to 1.12? Is it suspicious or odd to stand by the gate of a GA airport watching the planes? Will Gnome 43 be included in the upgrades of 22.04 Jammy? 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: You may re-send via your Connect and share knowledge within a single location that is structured and easy to search. message, """, 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. However, the link you referenced for the code contains the following line: PyTorch data types like torch.float came with PyTorch 0.4.0, so when you use something like torch.float in earlier versions like 0.3.1 you will see this error, because torch then actually has no attribute float. What is the purpose of non-series Shimano components? How do I check if an object has an attribute? File "C:\ai\stable-diffusion-webui\launch.py", line 360, in I'm trying to implement the Spatial Transformer Network from here and I am running into this issue: This AttributeError implies that somewhere in the code must be something like torch.float. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Python error "ImportError: No module named". Connect and share knowledge within a single location that is structured and easy to search. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. @emailweixu please reopen if error repros on pytorch 1.13. Error code: 1 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. The error is unfortunately not super descriptive or guiding me how to fix it. AttributeError:partially initialized module 'torch' has no AnacondatorchAttributeError: module 'torch' has no attribute 'irfft'module 'torch' has no attribute 'no_grad' 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 . It seems part of these problems have been solved and the data is automatically downloaded when I run the codes. No issues running the same script for a different dataset. and delete current Python and "venv" folder in WebUI's directory. You may re-send via your. Similarly to the line you posted in your question. CUDA runtime version: Could not collect module 'torch.cuda' has no attribute '_UntypedStorage'. Is there a single-word adjective for "having exceptionally strong moral principles"? rev2023.3.3.43278. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. ERROR: Could not find a version that satisfies the requirement torch==1.13.1+cu117 (from versions: none) Can I tell police to wait and call a lawyer when served with a search warrant? Have you installed the CUDA version of pytorch? Already on GitHub? update some extensions, and when I restarted stable. https://pytorch.org/. PyTorch - "Attribute Error: module 'torch' has no attribute 'float', How Intuit democratizes AI development across teams through reusability. Module torch.cuda.amptorch1.6torch1.4 1.7.1 HIP runtime version: N/A 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 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. 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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module 'torch' has no attribute 'cuda