Im wondering if my cuda setup is problematic? Is debug build: False 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? didnt work as well. For more complete information about compiler optimizations, see our Optimization Notice. 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. 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 Thanks for your answer. You may try updating. AC Op-amp integrator with DC Gain Control in LTspice. 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'" Is there a single-word adjective for "having exceptionally strong moral principles"? 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 Windows. ROCM used to build PyTorch: N/A, OS: Ubuntu 22.04.1 LTS (x86_64) I was showing a friend something and told him to update his extensions, and he got this error. module 'torch.cuda' has no attribute '_UntypedStorage'. 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'". Yes twice updates to dreambooth have screwed my python environment badly. 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. Seemed to resolve it for the other people on that thread earlier too. vegan) just to try it, does this inconvenience the caterers and staff? Sorry, you must verify to complete this action. [pip3] torch==1.12.1+cu116 Does your environment recognize torch.cuda? I have two machines that I need to check my code across one is Ubuntu 18.04 and the other is Ubuntu 20.04. Have a question about this project? 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) [Bug]: AttributeError: module 'torch' has no attribute 'cuda', https://www.python.org/downloads/release/python-3109/, https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases. Try to transform the numpy array to a tensor before calling tensor.cuda () PyTorch version: 1.12.1+cu116 What's the difference between a Python module and a Python package? Please edit your question with the full stack trace (and remove your comments). Shouldn't it be pip unistall torch and pip install torch? By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. By clicking Sign up for GitHub, you agree to our terms of service and WebAttributeError: module 'torch' has no attribute 'cuda' Press any key to continue . Sign in Connect and share knowledge within a single location that is structured and easy to search. update some extensions, and when I restarted stable. How can we prove that the supernatural or paranormal doesn't exist? Have a question about this project? We tried running your code.The issue seems to be with the quantized.Conv3d, instead you can use normal convolution3d. I will spend some more time digging into this but. Already on GitHub? Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. prune.global_unstructured when I use prune.global_unstructure I get that error please help [pip3] torchvision==0.13.1+cu116 [notice] A new release of pip available: 22.3 -> 23.0.1 Why is this sentence from The Great Gatsby grammatical? 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. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu117 It seems part of these problems have been solved and the data is automatically downloaded when I run the codes. As the PyTorch forum member with the most posts manages the PyTorch Core team @ NVIDIA. This topic was automatically closed 14 days after the last reply. For more complete information about compiler optimizations, see our Optimization Notice. You signed in with another tab or window. microsoft/Bringing-Old-Photos-Back-to-Life#100. What is the difference between paper presentation and poster presentation? As you can see, the command you used to install pytorch is different from the one here. What is the point of Thrower's Bandolier? Also happened to me and dreambooth was one of the ones that updated! Shouldn't this install latest version? @emailweixu please reopen if error repros on pytorch 1.13. 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. Why do we calculate the second half of frequencies in DFT? So probably you either have somewhere used torch.float in your code or you have imported some code with torch.float. Is there a workaround? ), Implement Seek on /dev/stdin file descriptor in Rust. It is lazily initialized, so you can You just need to find the line (or lines) where torch.float is used and change it. What pytorch version are you using? What does the "yield" keyword do in Python? I just checked that, it's strange it's 0.1.12_1. --------------------------------------------------------------------------- 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'. 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 How to handle a hobby that makes income in US, Linear Algebra - Linear transformation question. Is there a single-word adjective for "having exceptionally strong moral principles"? Otherwise already loaded modules are omitted during import and changes are not applied. Implement Seek on /dev/stdin file descriptor in Rust. message, Libc version: glibc-2.35, Python version: 3.8.15 (default, Oct 12 2022, 19:15:16) [GCC 11.2.0] (64-bit runtime) Well occasionally send you account related emails. However, the error is not fatal. File "C:\ai\stable-diffusion-webui\launch.py", line 360, in WebThis package adds support for CUDA tensor types, that implement the same function as CPU tensors, but they utilize GPUs for computation. 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? This is kind of confusing because the traceback then shows an error which doesn't make sense for the given line. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. However, some new errors appear as follows: And I wonder that if it may be impossible to run these codes in the cpu only computer? Have you installed the CUDA version of pytorch? vegan) just to try it, does this inconvenience the caterers and staff? I was stucked by this problem by few days and I hope someone could help me. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. profile. What Since this issue is not related to Intel Devcloud can we close the case? venv "C:\ai\stable-diffusion-webui\venv\Scripts\Python.exe" You may re-send via your, 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. Normal boot up. File "C:\ai\stable-diffusion-webui\launch.py", line 105, in run See instructions here https://pytorch.org/get-started/locally/ 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_. 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. What is the purpose of non-series Shimano components? 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? The text was updated successfully, but these errors were encountered: This problem doesn't exist in the newer pytorch 1.13. 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'. Traceback (most recent call last): 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. To learn more, see our tips on writing great answers. The default one installed is only with CPU support. In torch.distributed, how to average gradients on different GPUs correctly? I just got the following error when attempting to use amp. Nvidia driver version: 510.47.03 Edit: running the same script with the less extensive dataset also produces the AttributeError in the subject. 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 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. prepare_environment() Not the answer you're looking for? In my code below, I added this statement: But this seems not right or enough. Hi, Could you give us an update? What browsers do you use to Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? Installing torch and torchvision Why are Suriname, Belize, and Guinea-Bissau classified as "Small Island Developing States"? 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 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. 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. Connect and share knowledge within a single location that is structured and easy to search. If you preorder a special airline meal (e.g. You just need to find the 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'") Pytorchpthh5python AttributeError: 'module' object has no attribute 'dumps'Keras Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. Find centralized, trusted content and collaborate around the technologies you use most. File "C:\ai\stable-diffusion-webui\launch.py", line 129, in run_python GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3090 raise RuntimeError(f"""{errdesc or 'Error running command'}. At this moment we are not planning to move to pytorch 1.13 yet. 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. Please click the verification link in your email. rev2023.3.3.43278. You may just comment it out. You may just comment it out. 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 Can I tell police to wait and call a lawyer when served with a search warrant? Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Python error "ImportError: No module named". Please click the verification link in your email. Press any key to continue . RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available () is Fal. pytorch1.61.6 Help for those needing help starting or connecting to the Intel DevCloud, The Intel sign-in experience has changed to support enhanced security controls. On a machine with PyTorch version: 1.12.1+cu116, running the following code gets error message module 'torch.cuda' has no attribute '_UntypedStorage'. Find centralized, trusted content and collaborate around the technologies you use most. You may re-send via your. Why is there a voltage on my HDMI and coaxial cables? Why do small African island nations perform better than African continental nations, considering democracy and human development? How can I import a module dynamically given the full path? For the code you've posted it makes no sense. Is XNNPACK available: True, Versions of relevant libraries: Similarly to the line you posted in your question. The name of the source file was 'torch.py'. profile. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. 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. torch cannot detect cuda anymore, most likely you'll need to reinstall torch. please help I just sent the iynb model "After the incident", I started to be more careful not to trip over things. [conda] Could not collect. Commit hash: 0cc0ee1 How do I unload (reload) a Python module? This happened to me too the last dreambooth update made some requirements change that screwed the python environment. CUDA runtime version: Could not collect AttributeError: 'datetime' module has no attribute 'strptime', Error: " 'dict' object has no attribute 'iteritems' ". return run(f'"{python}" -c "{code}"', desc, errdesc) Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] 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. 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)] Can carbocations exist in a nonpolar solvent? File "C:\ai\stable-diffusion-webui\launch.py", line 272, in prepare_environment RuntimeError: Couldn't install torch. 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? run(f'"{python}" -m {torch_command}', "Installing torch and torchvision", "Couldn't install torch", live=True) Easiest way would be just updating PyTorch to 0.4.0 or higher. Please see. I'm stuck with this issue and the problem is I cannot use the latest version of pytorch (currently using 1.12+cu11.3). AttributeError: module 'torch' has no attribute 'cuda', update some extensions, and when I restarted stable. privacy statement. You signed in with another tab or window. How can this new ban on drag possibly be considered constitutional? The text was updated successfully, but these errors were encountered: torch cannot detect cuda anymore, most likely you'll need to reinstall torch. i actually reported that to dreambooth extension author 3 weeks ago and got told off. ERROR: Could not find a version that satisfies the requirement torch==1.13.1+cu117 (from versions: none) By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. [pip3] torchaudio==0.12.1+cu116 Do you know how I can fix it? RuntimeError: Error running command. CUDA_MODULE_LOADING set to: or in your case: rev2023.3.3.43278. to your account, On a machine with PyTorch version: 1.12.1+cu116, running the following code gets error message module 'torch.cuda' has no attribute '_UntypedStorage'. @harshit_k I added more information and you can see that the 0.1.12 is installed. Is there a single-word adjective for "having exceptionally strong moral principles"? For the Nozomi from Shinagawa to Osaka, say on a Saturday afternoon, would tickets/seats typically be available - or would you need to book? Using Kolmogorov complexity to measure difficulty of problems? # Note: the code can run if the following two lines are commented out. No, 1.13 is out, thanks for confirming @kurtamohler. 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) Already on GitHub? Very strange. PyTorch - "Attribute Error: module 'torch' has no attribute 'float', How Intuit democratizes AI development across teams through reusability. yes I reported an issue yesterday and met with much the same response. I don't think the function torch._C._cuda_setDevice or torch.cuda.set_device is available in a cpu-only build. How to use Slater Type Orbitals as a basis functions in matrix method correctly? privacy statement. 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. Tried doing this and got another error =P Dreambooth can suck it. If you don't want to update or if you are not able to do so for some reason. cuDNN version: Could not collect https://github.com/samet-akcay/ganomaly/blob/master/options.py#L40 We are closing the case assuming that your issue got resolved.Please raise a new thread in case of any further issues. Why does Mister Mxyzptlk need to have a weakness in the comics? Why does it seem like I am losing IP addresses after subnetting with the subnet mask of 255.255.255.192/26? . By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Well occasionally send you account related emails. torch torch.rfft torch.irfft torch.rfft rfft ,torch.irfft irfft Sorry for late response In my case command looks like: But you must obtain package list for yours machine form this site: Pytorch Simple Linear Sigmoid Network not learning. Traceback (most recent call last): Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Calling a function of a module by using its name (a string). My code is GPL licensed, can I issue a license to have my code be distributed in a specific MIT licensed project? """, 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. or any other error regarding unsuccessful package (library) installation, I have not tested it on Linux, but I used the command for Windows and it worked great for me on Anaconda. to your account. stdout: I'm using Windows, conda environment, installed Pytorch-1.7.1, Torchvision-0.8.2, Cuda-Toolkit-11.0 > all compatible. Now I'm :) and everything is working fine.. Making statements based on opinion; back them up with references or personal experience. Difference between "select-editor" and "update-alternatives --config editor". What is the purpose of this D-shaped ring at the base of the tongue on my hiking boots? 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: Thanks for contributing an answer to Stack Overflow! The same code can run correctly on a different machine with PyTorch version: 1.8.2+cu111, Collecting environment information or can I please get some context of why this is occuring? By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. This 100% happened after an extension update. Easiest way would be just updating PyTorch to 0.4.0 or higher. Steps to reproduce the problem. Why does Mister Mxyzptlk need to have a weakness in the comics? The error is unfortunately not super descriptive or guiding me how to fix it. Why do I get AttributeError: 'NoneType' object has no attribute 'something'? 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. 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. 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, torch.cuda.amp is available in the nightly binaries, so you would have to update. Asking for help, clarification, or responding to other answers. Just renamed it to something else and delete the file named 'torch.py' in the directory How would "dark matter", subject only to gravity, behave? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. """, 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.
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