Benevento, Italy Birth Records, Carp Fishing Shropshire, Articles M

stdout: What's the difference between a Python module and a Python package? torch torch.rfft torch.irfft torch.rfft rfft ,torch.irfft irfft or in your case: Sorry, you must verify to complete this action. However, the error disappears if not using cuda. Does your environment recognize torch.cuda? Asking for help, clarification, or responding to other answers. Python platform: Linux-5.15.0-52-generic-x86_64-with-glibc2.35 The best approach would be to use the same PyTorch release on both machines. AttributeError:partially initialized module 'torch' has no attribute 'cuda', How Intuit democratizes AI development across teams through reusability. You may try updating. rev2023.3.3.43278. 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'. 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. Already on GitHub? stderr: Traceback (most recent call last): In my code below, I added this statement: But this seems not right or enough. Is there a single-word adjective for "having exceptionally strong moral principles"? By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Does ZnSO4 + H2 at high pressure reverses to Zn + H2SO4? Why do many companies reject expired SSL certificates as bugs in bug bounties? HIP runtime version: N/A Easiest way would be just updating PyTorch to 0.4.0 or higher. torch cannot detect cuda anymore, most likely you'll need to reinstall torch. I was stucked by this problem by few days and I hope someone could help me. Can we reopen this issue and maybe get a backport to 1.12? 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. https://github.com/samet-akcay/ganomaly/blob/master/options.py#L40 I will spend some more time digging into this but. What browsers do you use to Please click the verification link in your email. You may just comment it out. Do you know how I can fix it? How can I import a module dynamically given the full path? 3cuda 4killpidnvidia-smigpu 5pytorch pytorchcuda torch : 1.12.1/ python: 3.7.6 / cuda : Asking for help, clarification, or responding to other answers. NVIDIA most definitely does have a PyTorch team, but the PyTorch forums are still a great place to ask questions. Whats the grammar of "For those whose stories they are"? 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. What File "C:\ai\stable-diffusion-webui\launch.py", line 89, in run Connect and share knowledge within a single location that is structured and easy to search. 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. ROCM used to build PyTorch: N/A, OS: Ubuntu 22.04.1 LTS (x86_64) 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. No, 1.13 is out, thanks for confirming @kurtamohler. File "C:\ai\stable-diffusion-webui\launch.py", line 129, in run_python How do/should administrators estimate the cost of producing an online introductory mathematics class? venv "C:\ai\stable-diffusion-webui\venv\Scripts\Python.exe" Normal boot up. Already on GitHub? [pip3] torchaudio==0.12.1+cu116 What is the point of Thrower's Bandolier? What else should I do to get right running? . Is it suspicious or odd to stand by the gate of a GA airport watching the planes? run(f'"{python}" -m {torch_command}', "Installing torch and torchvision", "Couldn't install torch", live=True) 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'. privacy statement. If you don't want to update or if you are not able to do so for some reason. [pip3] torchvision==0.13.1+cu116 The same code can run correctly on a different machine with PyTorch version: 1.8.2+cu111, Collecting environment information By clicking Sign up for GitHub, you agree to our terms of service and RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available () is Fal. pytorch1.61.6 Press any key to continue . How to use Slater Type Orbitals as a basis functions in matrix method correctly? Im running from torch.cuda.amp import GradScaler, autocast and got the error as in title. 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 It seems part of these problems have been solved and the data is automatically downloaded when I run the codes. Can I tell police to wait and call a lawyer when served with a search warrant? I'm stuck with this issue and the problem is I cannot use the latest version of pytorch (currently using 1.12+cu11.3). Already on GitHub? Help for those needing help starting or connecting to the Intel DevCloud, The Intel sign-in experience has changed to support enhanced security controls. https://pytorch.org/. RuntimeError: Couldn't install torch. Since this issue is not related to Intel Devcloud can we close the case? We tried running your code.The issue seems to be with the quantized.Conv3d, instead you can use normal convolution3d. What is the purpose of non-series Shimano components? Now I'm :) and everything is working fine.. Why do I get AttributeError: 'NoneType' object has no attribute 'something'? File "C:\ai\stable-diffusion-webui\launch.py", line 269, in prepare_environment Steps to reproduce the problem. [notice] To update, run: C:\ai\stable-diffusion-webui\venv\Scripts\python.exe -m pip install --upgrade pip This is the first time for me to run Pytorch with GPU on a linux machine. Sign in Easiest way would be just updating PyTorch to 0.4.0 or higher. Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu117 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. Difference between "select-editor" and "update-alternatives --config editor". Tried doing this and got another error =P Dreambooth can suck it. 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 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'") GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3090 rev2023.3.3.43278. 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'". Is debug build: False and delete current Python and "venv" folder in WebUI's directory. cuDNN 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. You just need to find the line (or lines) where torch.float is used and change it. [notice] A new release of pip available: 22.3 -> 23.0.1 If you sign in, click, Sorry, you must verify to complete this action. Powered by Discourse, best viewed with JavaScript enabled, AttributeError: module 'torch.cuda' has no attribute '_UntypedStorage'. This happened to me too the last dreambooth update made some requirements change that screwed the python environment. CUDA runtime version: Could not collect 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? AttributeError: module 'torch.cuda' has no attribute 'amp' braindotai April 13, 2020, 5:32pm #1 Im running from torch.cuda.amp import GradScaler, autocast and To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Find centralized, trusted content and collaborate around the technologies you use most. New replies are no longer allowed. What does the "yield" keyword do in Python? You may re-send via your So probably you either have somewhere used torch.float in your code or you have imported some code with torch.float. @harshit_k I added more information and you can see that the 0.1.12 is installed. Is it possible to rotate a window 90 degrees if it has the same length and width? """, 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. 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. Thanks for your answer. didnt work as well. Well occasionally send you account related emails. 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? prepare_environment() please help I just sent the iynb model Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? Please click the verification link in your email. 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. Why does it seem like I am losing IP addresses after subnetting with the subnet mask of 255.255.255.192/26? Thanks for contributing an answer to Stack Overflow! Help for those needing help starting or connecting to the Intel DevCloud, The Intel sign-in experience has changed to support enhanced security controls. You signed in with another tab or window. module 'torch.cuda' has no attribute '_UntypedStorage'. How to parse XML and get instances of a particular node attribute? 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) raise RuntimeError(f"""{errdesc or 'Error running command'}. . Nvidia driver version: 510.47.03 Shouldn't it be pip unistall torch and pip install torch? GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0 Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] 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. Not the answer you're looking for? Traceback (most recent call last): File "C:\ai\stable-diffusion-webui\launch.py", line 105, in run Since this issue is not related to Intel Devcloud can we close the case? Making statements based on opinion; back them up with references or personal experience. 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. 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. Please edit your question with the full stack trace (and remove your comments). update some extensions, and when I restarted stable. If you preorder a special airline meal (e.g. MIOpen runtime version: N/A By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Try removing it then reinstalling. or any other error regarding unsuccessful package (library) installation, 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_. In such a case restarting the kernel helps. Error: " 'dict' object has no attribute 'iteritems' ", Getting Nan result out of ResNet101 backbone with Kitti images. Try to transform the numpy array to a tensor before calling tensor.cuda () If you sign in, click, Sorry, you must verify to complete this action. Have a question about this project? or can I please get some context of why this is occuring? . Sorry for late response By clicking Sign up for GitHub, you agree to our terms of service and In following the Pytorch tutorial at https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html. 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. Why is there a voltage on my HDMI and coaxial cables? 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)] Please click the verification link in your email. I don't think the function torch._C._cuda_setDevice or torch.cuda.set_device is available in a cpu-only build. How to handle a hobby that makes income in US, Linear Algebra - Linear transformation question. 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. Clang version: Could not collect profile. Steps to reproduce the problem. Is XNNPACK available: True, Versions of relevant libraries: If thats not possible, and assuming you are using the GPU, use torch.cuda.amp.autocast. 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. Is CUDA available: True 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? # Note: the code can run if the following two lines are commented out. AttributeError: 'module' object has no attribute 'urlopen'. I just checked that, it's strange it's 0.1.12_1. Is there a workaround? prepare_environment() Making statements based on opinion; back them up with references or personal experience. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. 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'. To learn more, see our tips on writing great answers. Can carbocations exist in a nonpolar solvent? torch.cuda.amptorch1.6torch1.4 1.7.1 [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. . Thanks! In torch.distributed, how to average gradients on different GPUs correctly? I tried to reproduce the code from https://github.com/samet-akcay/ganomaly and run the commands in the git bash software. prune.global_unstructured when I use prune.global_unstructure I get that error please help Thank you. How do I unload (reload) a Python module? Also happened to me and dreambooth was one of the ones that updated! The text was updated successfully, but these errors were encountered: torch cannot detect cuda anymore, most likely you'll need to reinstall torch. I have same error after install pytorch from channel "soumith" with this command: After reinstalling from pytorch channel all works fine. How can I check before my flight that the cloud separation requirements in VFR flight rules are met? It seems that you need to add --device cpu in the command line to make it work. AttributeError: module 'torch.cuda' has no attribute '_UntypedStorage' Accelerated Computing CUDA CUDA Programming and Performance cuda, pytorch You may re-send via your. 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. I had to delete my venv folder in the end and let automatic1111 rebuild it. I have not tested it on Linux, but I used the command for Windows and it worked great for me on Anaconda. 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. I tried to reinstall the pytorch and update to the newest version (1.4.0), still exists error. I just got the following error when attempting to use amp. 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 272, in prepare_environment Be sure to install PyTorch with CUDA support. In my case command looks like: But you must obtain package list for yours machine form this site: Why are Suriname, Belize, and Guinea-Bissau classified as "Small Island Developing States"? Seemed to resolve it for the other people on that thread earlier too. Commit hash: 0cc0ee1 How can we prove that the supernatural or paranormal doesn't exist? 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. 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. microsoft/Bringing-Old-Photos-Back-to-Life#100. RuntimeError: Error running command. 0cc0ee1. The default one installed is only with CPU support. How do I check if an object has an attribute? I have two machines that I need to check my code across one is Ubuntu 18.04 and the other is Ubuntu 20.04. vegan) just to try it, does this inconvenience the caterers and staff? --------------------------------------------------------------------------- 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'. No issues running the same script for a different dataset. Just renamed it to something else and delete the file named 'torch.py' in the directory Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. You just need to find the See instructions here https://pytorch.org/get-started/locally/ "After the incident", I started to be more careful not to trip over things. Why do small African island nations perform better than African continental nations, considering democracy and human development? How do I check if an object has an attribute? To learn more, see our tips on writing great answers. Libc version: glibc-2.35, Python version: 3.8.15 (default, Oct 12 2022, 19:15:16) [GCC 11.2.0] (64-bit runtime) 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, Sign up for a free GitHub account to open an issue and contact its maintainers and the community. 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.