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As the PyTorch forum member with the most posts manages the PyTorch Core team @ NVIDIA. 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. Installing torch and torchvision You may just comment it out. 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. How can I import a module dynamically given the full path? Please click the verification link in your email. WebAttributeError: module 'torch' has no attribute 'cuda' Press any key to continue . To learn more, see our tips on writing great answers. Nvidia driver version: 510.47.03 Why is this sentence from The Great Gatsby grammatical? - the incident has nothing to do with me; can I use this this way? --------------------------------------------------------------------------- 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'. So probably you either have somewhere used torch.float in your code or you have imported some code with torch.float. 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'. Connect and share knowledge within a single location that is structured and easy to search. AttributeError: 'module' object has no attribute 'urlopen'. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. Do you know how I can fix it? Seemed to resolve it for the other people on that thread earlier too. RuntimeError: Error running command. How to use Slater Type Orbitals as a basis functions in matrix method correctly? Can we reopen this issue and maybe get a backport to 1.12? With the more extensive dataset, I receive the AttributeError in the subject header and RuntimeError: Pin memory threat exited unexpectedly after 8 iterations. Well occasionally send you account related emails. 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 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. Already on GitHub? 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? Please click the verification link in your email. profile. To learn more, see our tips on writing great answers. I am actually pruning my model using a particular torch library for pruning then this is what happens model structure device = torch.device("cuda Does your environment recognize torch.cuda? What browsers do you use to Please click the verification link in your email. 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. 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. Hi, Could you give us an update? Error code: 1 You might want to ask pytorch questions on a pytorch forum. AnacondatorchAttributeError: module 'torch' has no attribute 'irfft'module 'torch' has no attribute 'no_grad' privacy statement. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. If you have a line like in the example you've linked, it makes perfectly sense to get an error like this. Very strange. ROCM used to build PyTorch: N/A, OS: Ubuntu 22.04.1 LTS (x86_64) You just need to find the 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 CUDA runtime version: Could not collect I havent found this issue anywhere else yet Im running pytorch3D (0.3.0), which requires pytorch (1.12.1). Is there a workaround? I'm stuck with this issue and the problem is I cannot use the latest version of pytorch (currently using 1.12+cu11.3). This is the first time for me to run Pytorch with GPU on a linux machine. Whats the grammar of "For those whose stories they are"? Is it suspicious or odd to stand by the gate of a GA airport watching the planes? In torch.distributed, how to average gradients on different GPUs correctly? Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. It should install the latest version. 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. In my code below, I added this statement: But this seems not right or enough. The text was updated successfully, but these errors were encountered: This problem doesn't exist in the newer pytorch 1.13. Traceback (most recent call last): 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 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. Commit hash: 0cc0ee1 Why is there a voltage on my HDMI and coaxial cables? MIOpen runtime version: N/A Not the answer you're looking for? How would "dark matter", subject only to gravity, behave? Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] What else should I do to get right running? Why does Mister Mxyzptlk need to have a weakness in the comics? Is there a single-word adjective for "having exceptionally strong moral principles"? ERROR: No matching distribution found for torch==1.13.1+cu117. For more complete information about compiler optimizations, see our Optimization Notice. yes I reported an issue yesterday and met with much the same response. 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. vegan) just to try it, does this inconvenience the caterers and staff? However, the error is not fatal. . It is lazily initialized, so you can This happened to me too the last dreambooth update made some requirements change that screwed the python environment. On a machine with PyTorch version: 1.12.1+cu116, running the following code gets error message module 'torch.cuda' has no attribute '_UntypedStorage'. In following the Pytorch tutorial at https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html. vegan) just to try it, does this inconvenience the caterers and staff? torch torch.rfft torch.irfft torch.rfft rfft ,torch.irfft irfft Commit where the problem happens. File "C:\ai\stable-diffusion-webui\launch.py", line 129, in run_python 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'" I ran into this problem as well. Error: " 'dict' object has no attribute 'iteritems' ", Getting Nan result out of ResNet101 backbone with Kitti images. [pip3] torch==1.12.1+cu116 How can this new ban on drag possibly be considered constitutional? Have a question about this project? I was stucked by this problem by few days and I hope someone could help me. What 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. 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? run(f'"{python}" -m {torch_command}', "Installing torch and torchvision", "Couldn't install torch", live=True) CUDA_MODULE_LOADING set to: AttributeError: module 'torch.cuda' has no attribute '_UntypedStorage' Accelerated Computing CUDA CUDA Programming and Performance cuda, pytorch By clicking Sign up for GitHub, you agree to our terms of service and 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. If you sign in, click, Sorry, you must verify to complete this action. Libc version: glibc-2.35, Python version: 3.8.15 (default, Oct 12 2022, 19:15:16) [GCC 11.2.0] (64-bit runtime) Im running from torch.cuda.amp import GradScaler, autocast and got the error as in title. prepare_environment() Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu117 I just got the following error when attempting to use amp. In such a case restarting the kernel helps. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Python error "ImportError: No module named". 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? NVIDIA doesnt develop, maintain, or support pytorch. update some extensions, and when I restarted stable. https://github.com/samet-akcay/ganomaly/blob/master/options.py#L40 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. 3cuda 4killpidnvidia-smigpu 5pytorch pytorchcuda torch : 1.12.1/ python: 3.7.6 / cuda : So if there was an error in the old code this error might still occur and the traceback then points to the line you have just corrected. AttributeError: module 'torch._C' has no attribute '_cuda_setDevice' facebookresearch/detr#346 marco-rudolph mentioned this issue on Sep 1, 2021 error Can I tell police to wait and call a lawyer when served with a search warrant? Do roots of these polynomials approach the negative of the Euler-Mascheroni constant? [pip3] torchaudio==0.12.1+cu116 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. Well occasionally send you account related emails. Pytorchpthh5python AttributeError: 'module' object has no attribute 'dumps'Keras venv "C:\ai\stable-diffusion-webui\venv\Scripts\Python.exe" It seems that you need to add --device cpu in the command line to make it work. If you don't want to update or if you are not able to do so for some reason. Windows. I could fix this on the 1.12 branch, but will there be a 1.12.2 release? Find centralized, trusted content and collaborate around the technologies you use most. Will Gnome 43 be included in the upgrades of 22.04 Jammy? The same code can run correctly on a different machine with PyTorch version: 1.8.2+cu111, Collecting environment information HIP runtime version: N/A By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. 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, Sorry, you must verify to complete this action. Thanks a lot! rev2023.3.3.43278. Does ZnSO4 + H2 at high pressure reverses to Zn + H2SO4? Is CUDA available: True Is debug build: False Thanks for contributing an answer to Stack Overflow! Connect and share knowledge within a single location that is structured and easy to search. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. [pip3] numpy==1.23.4 Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? 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. Try to transform the numpy array to a tensor before calling tensor.cuda () The best approach would be to use the same PyTorch release on both machines. By clicking Sign up for GitHub, you agree to our terms of service and Pytorch Simple Linear Sigmoid Network not learning. cuDNN version: Could not collect Not the answer you're looking for? WebAttributeError: module 'torch' has no attribute 'cuda' Press any key to continue . Sign in How do/should administrators estimate the cost of producing an online introductory mathematics class? Just renamed it to something else and delete the file named 'torch.py' in the directory I had to delete my venv folder in the end and let automatic1111 rebuild it. We are closing the case assuming that your issue got resolved.Please raise a new thread in case of any further issues. CMake version: version 3.22.1 message, [conda] Could not collect. Thanks! How to parse XML and get instances of a particular node attribute? Sign in We tried running your code.The issue seems to be with the quantized.Conv3d, instead you can use normal convolution3d. 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 Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Calling a function of a module by using its name (a string). Can carbocations exist in a nonpolar solvent? . Shouldn't it be pip unistall torch and pip install torch? 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 Python platform: Linux-5.15.0-52-generic-x86_64-with-glibc2.35 The text was updated successfully, but these errors were encountered: I don't think the function torch._C._cuda_setDevice or torch.cuda.set_device is available in a cpu-only build. What is the purpose of non-series Shimano components? torch cannot detect cuda anymore, most likely you'll need to reinstall torch. You might need to install the nightly binary, since Autocasting wasnt shipped in 1.5. Commit hash: 0cc0ee1 Asking for help, clarification, or responding to other answers. or can I please get some context of why this is occuring? 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. rev2023.3.3.43278. . What's the difference between a Python module and a Python package? Thanks for contributing an answer to Stack Overflow! 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? stderr: Traceback (most recent call last): Is it suspicious or odd to stand by the gate of a GA airport watching the planes? ), Implement Seek on /dev/stdin file descriptor in Rust. ERROR: Could not find a version that satisfies the requirement torch==1.13.1+cu117 (from versions: none) 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. Difference between "select-editor" and "update-alternatives --config editor". module 'torch.cuda' has no attribute '_UntypedStorage'. Error code: 1 [notice] A new release of pip available: 22.3 -> 23.0.1 Asking for help, clarification, or responding to other answers. This is more of a comment then an answer. 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. and delete current Python and "venv" folder in WebUI's directory. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Calling a function of a module by using its name (a string). Please see. What is the purpose of this D-shaped ring at the base of the tongue on my hiking boots? Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. In your code example I cannot find anything like it. What pytorch version are you using? i actually reported that to dreambooth extension author 3 weeks ago and got told off. 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. """, 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. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Tried doing this and got another error =P Dreambooth can suck it. 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'". 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 I tried to reproduce the code from https://github.com/samet-akcay/ganomaly and run the commands in the git bash software. Why does it seem like I am losing IP addresses after subnetting with the subnet mask of 255.255.255.192/26? Edit: running the same script with the less extensive dataset also produces the AttributeError in the subject. What does the "yield" keyword do in Python? [pip3] torchvision==0.13.1+cu116 Traceback (most recent call last): """, 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.