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module 'torch' has no attribute 'cuda

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. Please click the verification link in your email. . MIOpen runtime version: N/A Powered by Discourse, best viewed with JavaScript enabled, AttributeError: module 'torch.cuda' has no attribute '_UntypedStorage'. Sign in File "C:\ai\stable-diffusion-webui\launch.py", line 105, in run How can I import a module dynamically given the full path? What is the point of Thrower's Bandolier? GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3090 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. If you sign in, click, Sorry, you must verify to complete this action. Asking for help, clarification, or responding to other answers. You may re-send via your It's better to ask on https://github.com/samet-akcay/ganomaly. ERROR: Could not find a version that satisfies the requirement torch==1.13.1+cu117 (from versions: none) AttributeError:partially initialized module 'torch' has no attribute 'cuda', How Intuit democratizes AI development across teams through reusability. If you don't want to update or if you are not able to do so for some reason. Does ZnSO4 + H2 at high pressure reverses to Zn + H2SO4? 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. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Calling a function of a module by using its name (a string). Similarly to the line you posted in your question. Im wondering if my cuda setup is problematic? prune.global_unstructured when I use prune.global_unstructure I get that error please help What is the purpose of this D-shaped ring at the base of the tongue on my hiking boots? Yes twice updates to dreambooth have screwed my python environment badly. The default one installed is only with CPU support. 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? Yesterday I installed Pytorch with "conda install pytorch torchvision -c pytorch". AttributeError: module 'torch' has no attribute 'cuda', update some extensions, and when I restarted stable. https://github.com/samet-akcay/ganomaly/blob/master/options.py#L40 Why does it seem like I am losing IP addresses after subnetting with the subnet mask of 255.255.255.192/26? or can I please get some context of why this is occuring? How can this new ban on drag possibly be considered constitutional? Is there a single-word adjective for "having exceptionally strong moral principles"? Find centralized, trusted content and collaborate around the technologies you use most. AttributeError: module 'torch.cuda' has no attribute '_UntypedStorage' Accelerated Computing CUDA CUDA Programming and Performance cuda, pytorch RuntimeError: Error running command. 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. How do/should administrators estimate the cost of producing an online introductory mathematics class? You might need to install the nightly binary, since Autocasting wasnt shipped in 1.5. If you don't want to update or if you are not able to do so for some reason. CUDA_MODULE_LOADING set to: I havent found this issue anywhere else yet Im running pytorch3D (0.3.0), which requires pytorch (1.12.1). Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. Easiest way would be just updating PyTorch to 0.4.0 or higher. I have not tested it on Linux, but I used the command for Windows and it worked great for me on Anaconda. Why do we calculate the second half of frequencies in DFT? [Bug]: AttributeError: module 'torch' has no attribute 'cuda', https://www.python.org/downloads/release/python-3109/, https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases. privacy statement. module 'torch.cuda' has no attribute '_UntypedStorage'. I am actually pruning my model using a particular torch library for pruning then this is what happens model structure device = torch.device("cuda rev2023.3.3.43278. Is there a single-word adjective for "having exceptionally strong moral principles"? No issues running the same script for a different dataset. This happened to me too the last dreambooth update made some requirements change that screwed the python environment. If you sign in, click, Sorry, you must verify to complete this action. If you preorder a special airline meal (e.g. torch.cuda.amp is available in the nightly binaries, so you would have to update. If thats not possible, and assuming you are using the GPU, use torch.cuda.amp.autocast. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. torch cannot detect cuda anymore, most likely you'll need to reinstall torch. 0cc0ee1. For more complete information about compiler optimizations, see our Optimization Notice. To learn more, see our tips on writing great answers. So something is definitely hostile as you said =P. 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 Connect and share knowledge within a single location that is structured and easy to search. Pytorchpthh5python AttributeError: 'module' object has no attribute 'dumps'Keras PyTorch - "Attribute Error: module 'torch' has no attribute 'float', How Intuit democratizes AI development across teams through reusability. We tried running your code.The issue seems to be with the quantized.Conv3d, instead you can use normal convolution3d. By clicking Sign up for GitHub, you agree to our terms of service and How can I check before my flight that the cloud separation requirements in VFR flight rules are met? We are closing the case assuming that your issue got resolved.Please raise a new thread in case of any further issues. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our 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? 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'. RuntimeError: Couldn't install torch. Thanks for contributing an answer to Stack Overflow! Can we reopen this issue and maybe get a backport to 1.12? I have two machines that I need to check my code across one is Ubuntu 18.04 and the other is Ubuntu 20.04. 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. You just need to find the Please click the verification link in your email. (Initially, I also got the same error, that was before following this). Please always post the full error traceback. Shouldn't this install latest version? Making statements based on opinion; back them up with references or personal experience. However, the error is not fatal. Connect and share knowledge within a single location that is structured and easy to search. AC Op-amp integrator with DC Gain Control in LTspice. What should have happened? NVIDIA most definitely does have a PyTorch team, but the PyTorch forums are still a great place to ask questions. I just checked that, it's strange it's 0.1.12_1. Why do many companies reject expired SSL certificates as bugs in bug bounties? Try to transform the numpy array to a tensor before calling tensor.cuda () 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. Tried doing this and got another error =P Dreambooth can suck it. You might want to ask pytorch questions on a pytorch forum. return run(f'"{python}" -c "{code}"', desc, errdesc) Have a question about this project? How to parse XML and get instances of a particular node attribute? For the Nozomi from Shinagawa to Osaka, say on a Saturday afternoon, would tickets/seats typically be available - or would you need to book? Try removing it then reinstalling. How can we prove that the supernatural or paranormal doesn't exist? By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. 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'") . WebThis package adds support for CUDA tensor types, that implement the same function as CPU tensors, but they utilize GPUs for computation. [conda] 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. Why do I get AttributeError: 'NoneType' object has no attribute 'something'? 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. # Note: the code can run if the following two lines are commented out. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. 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 At this moment we are not planning to move to pytorch 1.13 yet. What's the difference between a Python module and a Python package? microsoft/Bringing-Old-Photos-Back-to-Life#100. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. In my case command looks like: But you must obtain package list for yours machine form this site: [pip3] torchvision==0.13.1+cu116 @harshit_k I added more information and you can see that the 0.1.12 is installed. vegan) just to try it, does this inconvenience the caterers and staff? BTW, I have to close this issue because it's not a problem of this repo. Sorry, you must verify to complete this action. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Python error "ImportError: No module named". With the more extensive dataset, I receive the AttributeError in the subject header and RuntimeError: Pin memory threat exited unexpectedly after 8 iterations. 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'. By clicking Sign up for GitHub, you agree to our terms of service and If you have a line like in the example you've linked, it makes perfectly sense to get an error like this. As you can see, the command you used to install pytorch is different from the one here. What pytorch version are you using? GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0 profile. Very strange. So probably you either have somewhere used torch.float in your code or you have imported some code with torch.float. How would "dark matter", subject only to gravity, behave? privacy statement. In torch.distributed, how to average gradients on different GPUs correctly? I had to delete my venv folder in the end and let automatic1111 rebuild it. Are there tables of wastage rates for different fruit and veg? raise RuntimeError(message) class GradScaler(torch.cuda.amp.GradScaler): AttributeError: module torch.cuda has no attribute amp Environment: GPU : RTX 8000 CUDA: 10.0 Pytorch File "C:\ai\stable-diffusion-webui\launch.py", line 360, in 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. File "", line 1, in You may re-send via your. [notice] To update, run: C:\ai\stable-diffusion-webui\venv\Scripts\python.exe -m pip install --upgrade pip The cuda () method is defined for tensors, while it seems you are calling it on a numpy array. The text was updated successfully, but these errors were encountered: torch cannot detect cuda anymore, most likely you'll need to reinstall torch. Later in the night i did the same and got the same error. 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. The error is unfortunately not super descriptive or guiding me how to fix it. 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 Already on GitHub? What is the difference between paper presentation and poster presentation? https://pytorch.org/. Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] Connect and share knowledge within a single location that is structured and easy to search. Thanks for contributing an answer to Stack Overflow! However, the error disappears if not using cuda. If you encounter an error with "RuntimeError: Couldn't install torch." 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. [notice] A new release of pip available: 22.3 -> 23.0.1 Im running from torch.cuda.amp import GradScaler, autocast and got the error as in title. I ran into this problem as well. prepare_environment() Already on GitHub? - the incident has nothing to do with me; can I use this this way? How to fix "Attempted relative import in non-package" even with __init__.py, Equation alignment in aligned environment not working properly, Trying to understand how to get this basic Fourier Series. Have a question about this project? Why does Mister Mxyzptlk need to have a weakness in the comics? We are closing the case assuming that your issue got resolved.Please raise a new thread in case of any further issues. Is XNNPACK available: True, Versions of relevant libraries: Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Can I tell police to wait and call a lawyer when served with a search warrant? See instructions here https://pytorch.org/get-started/locally/ CUDA used to build PyTorch: 11.6 ERROR: No matching distribution found for torch==1.13.1+cu117. How do I unload (reload) a Python module? New replies are no longer allowed. Commit hash: 0cc0ee1 Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Calling a function of a module by using its name (a string). File "C:\ai\stable-diffusion-webui\launch.py", line 129, in run_python 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. How do I check if an object has an attribute? Since this issue is not related to Intel Devcloud can we close the case? 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: HIP runtime version: N/A 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'" Error: " 'dict' object has no attribute 'iteritems' ", Getting Nan result out of ResNet101 backbone with Kitti images. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Why are Suriname, Belize, and Guinea-Bissau classified as "Small Island Developing States"? Not the answer you're looking for? I will spend some more time digging into this but. On a machine with PyTorch version: 1.12.1+cu116, running the following code gets error message module 'torch.cuda' has no attribute '_UntypedStorage'. run(f'"{python}" -m {torch_command}', "Installing torch and torchvision", "Couldn't install torch", live=True) Difference between "select-editor" and "update-alternatives --config editor". venv "C:\ai\stable-diffusion-webui\venv\Scripts\Python.exe" --------------------------------------------------------------------------- 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'. As the PyTorch forum member with the most posts manages the PyTorch Core team @ NVIDIA. rev2023.3.3.43278. NVIDIA doesnt develop, maintain, or support pytorch. Thank you. 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. Is it suspicious or odd to stand by the gate of a GA airport watching the planes? 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. Libc version: glibc-2.35, Python version: 3.8.15 (default, Oct 12 2022, 19:15:16) [GCC 11.2.0] (64-bit runtime) Otherwise already loaded modules are omitted during import and changes are not applied. This topic was automatically closed 14 days after the last reply. The same code can run correctly on a different machine with PyTorch version: 1.8.2+cu111, Collecting environment information WebAttributeError: module 'torch' has no attribute 'cuda' Press any key to continue . What does the "yield" keyword do in Python? Do roots of these polynomials approach the negative of the Euler-Mascheroni constant? update some extensions, and when I restarted stable. Using Kolmogorov complexity to measure difficulty of problems? By clicking Sign up for GitHub, you agree to our terms of service and Implement Seek on /dev/stdin file descriptor in Rust. Sorry, you must verify to complete this action. Why is there a voltage on my HDMI and coaxial cables? 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 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, 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 Be sure to install PyTorch with CUDA support. I'm running without dreambooth now as I had to use CPU training anyway with my 4Gb card and they made that harder recently so I'd gone to Colab, which is much quicker anyway. """, 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. Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? Well occasionally send you account related emails. 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. 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. """, 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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module 'torch' has no attribute 'cuda

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