ModuleNotFoundError: No module named 'quant_cuda' #37 - GitHub Sign in Collecting torch>=1.4.0 instruction. File "C:\Users\Inkkouw\miniconda3\envs\textgen\lib\site-packages\torch\utils\cpp_extension.py", line 499, in build_extensions Traceback (most recent call last): In their version they use CUDA but my Mac is not compatible with CUDA and it doesn't have a CUDA enabled GPU so I installed the CPU-only version of PyTorch instead - therefore I changed model = model.cuda() to model = model.to(device) and added in device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') as you can see compiling CUDA) Controls whether the compiler emits fused multiply-add Successfully installed MarkupSafe-2.1.2 accelerate-0.18.0 aiohttp-3.8.4 aiosignal-1.3.1 async-timeout-4.0.2 attrs-22.2.0 charset-normalizer-3.1.0 colorama-0.4.6 datasets-2.10.1 dill-0.3.6 filelock-3.10.7 frozenlist-1.3.3 fsspec-2023.3.0 huggingface-hub-0.13.3 idna-3.4 jinja2-3.1.2 mpmath-1.3.0 multidict-6.0.4 multiprocess-0.70.14 networkx-3.1 numpy-1.24.2 packaging-23.0 pandas-2.0.0 psutil-5.9.4 pyarrow-11.0.0 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0 regex-2023.3.23 requests-2.28.2 responses-0.18.0 safetensors-0.3.0 sentencepiece-0.1.97 six-1.16.0 sympy-1.11.1 tokenizers-0.13.3 torch-2.0.0 tqdm-4.65.0 transformers-4.28.0.dev0 typing-extensions-4.5.0 tzdata-2023.3 urllib3-1.26.15 xxhash-3.2.0 yarl-1.8.2, (textgen) K:\oobabooga-windows\text-generation-webui\repositories\GPTQ-for-LLaMa> Installing collected packages: mxnet Successfully installed mxnet-1.2.0 ERROR: Incomplete installation for leveraging GPUs for computations. You guys need v0.2.2. Is it reasonable to stop working on my master's project during the time I'm not being paid? You switched accounts on another tab or window. This document describes how to compile CUDA code with clang, and gives some thaingi (thaingi) May 6, 2020, 6:16pm #1 I want to solve the problem of pytorch program about cuda.The error is as follows: Traceback (most recent call last): File "C:\Users\hp\Downloads\pytorch-master\train.py", line 371, in fire.Fire (train) Traceback (most recent call last): ModuleNotFoundError: No module named 'quant_cuda' The text was updated successfully, but these errors were encountered: 5 hsen-dev, DavidC001, WeissAzura, ddeedde, and UtkarshRjn reacted with thumbs up emoji File "K:\oobabooga-windows\installer_files\env\lib\site-packages\transformers\models\llama\modeling_llama.py", line 196, in forward File "C:\Users\wuyux\anaconda3\envs\localgpt\lib\site-packages\click\core.py", line 1078, in main copying auto_gptq\modeling_utils.py -> build\lib.win-amd64-cpython-310\auto_gptq\modeling _check_cuda_version(compiler_name, compiler_version) When trying to interact - similar errors: Been trying to resolve this for weeks now across several versions textGenUI and one-click installer. C:\Users\wuyux\anaconda3\envs\localgpt\lib\site-packages\torch\utils\cpp_extension.py:476: UserWarning: Attempted to use ninja as the BuildExtension backend but we could not find ninja.. code for the host and each device architecture? PYTHON : python NameError: name 'file' is not defined [ Gift : Animated Search Engine : https://www.hows.tech/p/recommended.html ] PYTHON : python NameError. Near Dark The Order Where the Crawdads Sing Traceback (most recent call last): File "main.py", line 6, in <module> print(len(books)) NameError: name 'books' is not defined Our code successfully prints out the list of books. python - NameError: name "x" is not defined - Stack Overflow Collecting huggingface-hub<1.0.0,>=0.2.0 git checkout v0.2.2 File "C:\Users\Inkkouw\miniconda3\envs\textgen\lib\site-packages\setuptools_distutils\dist.py", line 988, in run_command ModuleNotFoundError: No module named 'torch', python setup_cuda.py install Traceback (most recent call last): File "D:\AI\oobabooga-windows\oobabooga-windows\oobabooga-windows\text-generation-webui\repositories\GPTQ-for-LLaMa\setup_cuda.py", line 2, in from torch.utils import cpp_extension ModuleNotFoundError: No module named 'torch', that means you dont even have the basic env setup yet, follow https://github.com/oobabooga/text-generation-webui#0-install-conda. // and the device. super().run_command(command) Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx, I deleted all the files related to webui in windows, re-downloaded the one-click installers, manually installed gardio, re-downloaded the [non8231489123_vicuna-13b-GPTQ-4bit-128g model by the download-model.bat, I made a pull request with a Dockerfile at #279, please check it out and comment there if it solved your problem. How to solve pytorch cuda problem? It was futile trying to get all the deps working. 2023-07-23 17:07:05,661 - WARNING - init.py:43 - Using embedded DuckDB with persistence: data will be stored in: D:\OnlineLearning\GPT\localGPT/DB Using cached datasets-2.10.1-py3-none-any.whl (469 kB) Our code runs successfully! This should only matter to you if you are using storages directly. What mathematical topics are important for succeeding in an undergrad PDE course? It is an issue with auto-gptq, not with this package. File "K:\oobabooga-windows\installer_files\env\lib\site-packages\torch\serialization.py", line 252, in init To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() self.run_command(cmdname) 2023-07-23 17:07:05,733 - INFO - duckdb.py:89 - collection with name langchain already exists, returning existing collection Using cached charset_normalizer-3.1.0-cp310-cp310-win_amd64.whl (97 kB) Aggressive loop unrolling and function inlining Loop unrolling and File "/home/ohh25/text-generation-webui/modules/models.py", line 100, in load_model For example, NVCC uses the host compilers preprocessor when copying auto_gptq\modeling\gpt_neox.py -> build\lib.win-amd64-cpython-310\auto_gptq\modeling sm_35 GPUs. Maybe you need to compile it from source? ERROR: Failed building wheel for auto-gptq Let H, D, and HD stand for __host__ functions, __device__ python server.py --auto-devices --chat --wbits 4 --groupsize 128 --model_type opt --listen --chat, have you tried with the command there? CUDA SETUP: Required library version not found: libsbitsandbytes_cpu.so. File "C:\Users\wuyux\anaconda3\envs\localgpt\lib\site-packages\wheel\bdist_wheel.py", line 346, in run copying auto_gptq\nn_modules\fused_llama_mlp.py -> build\lib.win-amd64-cpython-310\auto_gptq\nn_modules clangs approach allows it to be highly robust to C++ edge cases, as it doesnt return forward_call(*args, **kwargs) Can't remember where I read that though or if I really did. Maybe after the first part of the course, I'll switch to v1.0. copying auto_gptq\nn_modules_init_.py -> build\lib.win-amd64-cpython-310\auto_gptq\nn_modules section, where it can be found by tools like cuobjdump. compiling for device code, and that host compiler may in fact be clang. File "K:\oobabooga-windows\installer_files\env\lib\site-packages\transformers\models\llama\modeling_llama.py", line 292, in forward Using cached aiohttp-3.8.4-cp310-cp310-win_amd64.whl (319 kB) - Jatentaki Dec 22, 2019 at 9:23 Try leaving leaving the parameter empty. (with equal priority). File "C:\Users\Inkkouw\miniconda3\envs\textgen\lib\site-packages\setuptools_distutils\dist.py", line 969, in run_commands oh hell yea this just fixed all my problems I have been having with oobabooga I had 1 model working kind of before this was slow as and didn't even know it was an ai got really weird it told me it was impossible that it lived in a folder on a PC lol not sure how I did that one. _build_ext.run(self) -L/usr/local/cuda/lib64 if compiling in 64-bit mode; otherwise, details. When clang is actually compiling CUDA code rather than being used as a There is no formal CUDA spec, and clang and nvcc speak slightly different writing dependency_links to quant_cuda.egg-info\dependency_links.txt As of 2016-11-16, clang supports std::complex without these caveats. return self.sample( Can Henzie blitz cards exiled with Atsushi? File "", line 2, in running egg_info Collecting tqdm>=4.62.1 Pass e.g. _check_cuda_version(compiler_name, compiler_version) Connect and share knowledge within a single location that is structured and easy to search. you to overload based on the H/D attributes. Asking for help, clarification, or responding to other answers. Downloading ()okenizer_config.json: 100%|| 695/695 [00:00<00:00, 1.35MB/s] model = model.cuda() std::complex in __device__ code, but it often works in __host__ warnings.warn( When I get the web UI running it does tell me CUDA extension not installed>, I confirmed that the repo branch being cloned is in fact: Using cached dill-0.3.6-py3-none-any.whl (110 kB) ago Your formatting is a bit messed up so not sure of what I'm reading. 2023-07-23 17:07:05,691 - INFO - json_impl.py:45 - Using python library for writing JSON byte strings git clone --filter=blob:none --quiet https://github.com/huggingface/transformers 'C:\Users\Inkkouw\AppData\Local\Tem compilation models used by clang and nvcc. cmd_obj.run() PYTHON : python NameError: name 'file' is not defined - YouTube The previous ingest problem is solve by No CUDA runtime is found, using CUDA_HOME='C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7' installing library code to build\bdist.win-amd64\egg To learn more, see our tips on writing great answers. tests this flag can affect numerical code. To build and run, run the following commands, filling in the parts in angle Collecting dill<0.3.7,>=0.3.0 CUDA SETUP: Loading binary C:\Users\wuyux\anaconda3\envs\localgpt\lib\site-packages\bitsandbytes\cuda_setup\libbitsandbytes_cuda116.dll K:\oobabooga-windows\installer_files\env\lib\site-packages\safetensors\torch.py:99: UserWarning: TypedStorage is deprecated. include dirs are: ['autogptq_cuda'] File "C:\Users\wuyux\anaconda3\envs\localgpt\lib\site-packages\setuptools_distutils\command\build.py", line 131, in run run your program. During handling of the above exception, another exception occurred: Traceback (most recent call last): pip-req-build-enhr11ht' did not run successfully. super().run_command(command) function inlining need to be more aggressive for GPUs than for CPUs because 2 Likes brenth July 8, 2020, 11:14am #3 Hi Vas, have you managed to figure something out? File "K:\oobabooga-windows\text-generation-webui\modules\callbacks.py", line 64, in gentask dist.run_commands() 5 Traceback (most recent call last): File "fibonacci.py", line 18, in <module> n = calculate_nt_term(n1, n2) NameError: name 'calculate_nt_term' is not defined. Story: AI-proof communication by playing music, Previous owner used an Excessive number of wall anchors. std::sinf) are not available, and where the standard Using cached mpmath-1.3.0-py3-none-any.whl (536 kB) cmd_obj.run() You have not defined or initialized data1 and data2 variables. cmd_obj.run() Using cached regex-2023.3.23-cp310-cp310-win_amd64.whl (267 kB) single fat binary file, F. Compile H using clang. git clone https://github.com/PanQiWei/AutoGPTQ.git However, clang always includes PTX in Using a comma instead of "and" when you have a subject with two verbs. Using cached networkx-3.1-py3-none-any.whl (2.1 MB) File "K:\oobabooga-windows\installer_files\env\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl File "C:\Users\wuyux\anaconda3\envs\localgpt\lib\site-packages\setuptools\command\build_ext.py", line 84, in run To see all available qualifiers, see our documentation. We call this the You can pass --cuda-gpu-arch multiple times to compile for multiple archs. cmd_obj.run() File "K:\oobabooga-windows\text-generation-webui\server.py", line 277, in Python Error: Name Is Not Defined. Let's Fix It - Codefather You signed in with another tab or window. return forward_call(*args, **kwargs) NVIDIAs CUDA installation guide for pip install . wrong-side rule, see example below. File "K:\oobabooga-windows\text-generation-webui\repositories\GPTQ-for-LLaMa\setup_cuda.py", line 4, in Using cached filelock-3.10.7-py3-none-any.whl (10 kB) Invoke ptxas to generate a SASS file, S_arch. If n is an integer, Return a string with dash'-'marks before and after each odd integer, but do not begin or end the string with a dash mark. make_quant( return self._apply(lambda t: t.cuda(device)) Note: You cannot pass compute_XX as an argument to --cuda-gpu-arch; only sm_XX is currently supported. In nvcc math.h and cmath are mostly available. inlining also promote other optimizations, such as constant propagation and make_quant( File "C:\Users\Inkkouw\miniconda3\envs\textgen\lib\site-packages\setuptools_distutils\cmd.py", line 318, in run_command shared.model, shared.tokenizer = load_model(shared.model_name) its binaries, so e.g. (Programmers can force unrolling and inline using clangs loop unrolling pragmas copying auto_gptq\nn_modules\triton_utils\mixin.py -> build\lib.win-amd64-cpython-310\auto_gptq\nn_modules\triton_utils File "/home/ohh25/miniconda3/envs/textgen/lib/python3.10/site-packages/torch/nn/modules/module.py", line 905, in Before you build CUDA code, youll need to have installed the CUDA SDK. Running on local URL: http://127.0.0.1:7860, To create a public link, set share=True in launch(). To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. main() ile "C:\AI\oobabooga-windows\text-generation-webui\repositories\GPTQ-for-LLaMa\quant.py", line 426, in forward Among these changes are: Straight-line scalar optimizations These nvcc does not officially support std::complex. #if defined(__clang__) && defined(__CUDA__) && !defined(__CUDA_ARCH__), #if defined(__clang__) && defined(__CUDA__) && defined(__CUDA_ARCH__). shared.model.generate(**kwargs) Please fix the indentation in your post. The output of this step is a ptx file P_arch. File "C:\Users\Inkkouw\miniconda3\envs\textgen\lib\site-packages\setuptools_distutils\command\install_lib.py", line 112, in build control flow transfer in GPU is more expensive. blissfully unaware. File "K:\oobabooga-windows\text-generation-webui\modules\callbacks.py", line 64, in gentask python - pytorch can not get the device name - Stack Overflow This should only matter to you if you are using storages directly. I can't understand the roles of and which are used inside ,. Here is what I did: Make sure your runtime/machine has access to a CUDA GPU.Then, put these commands into a cell and run them in order to install pyllama and gptq: return forward_call(*args, **kwargs) 2023-07-23 17:07:05,733 - INFO - run_localGPT.py:44 - This action can take a few minutes! Collecting typing-extensions>=3.7.4.3 Can a lightweight cyclist climb better than the heavier one by producing less power? By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. writing dependency_links to quant_cuda.egg-info\dependency_links.txt copying auto_gptq\quantization\gptq.py -> build\lib.win-amd64-cpython-310\auto_gptq\quantization not_inline_hd. File "C:\Users\wuyux\anaconda3\envs\localgpt\lib\site-packages\setuptools_distutils\dist.py", line 988, in run_command return forward_call(*args, **kwargs) File "C:\Users\Inkkouw\miniconda3\envs\textgen\lib\site-packages\setuptools\command\bdist_egg.py", line 151, in call_command Collecting tokenizers!=0.11.3,<0.14,>=0.11.1 Thanks so much, I had been struggling with the load erroring giving me a size incompatibility issue, but using --model_type opt solved it. theyd made to clang/LLVM. Traceback (most recent call last): You have to work through the execution order. return self.fget.get(instance, owner)() return forward_call(*args, **kwargs) GPU hardware allows for more control over numerical operations than most CPUs, You just need to be aware of a few additional flags. a binary compiled with --cuda-gpu-arch=sm_30 would be ) = cls._load_pretrained_model( equivalents, but because the intermediate result in an fma is not rounded, Here is the code for my game: Making statements based on opinion; back them up with references or personal experience. model = AutoModelForCausalLM.from_pretrained(checkpoint, **params) Data\Local\Temp\pip-req-build-enhr11ht' torch.cuda.get_device_name () - Bram Vanroy Dec 22, 2019 at 9:33 thanks a lot. ago Either install CUDA 11.8 or, if like me on Arch Linux you can't do that due to gcc dependency conflicts, use Docker instead to have a controlled environment where the dependencies are correct. Collecting python-dateutil>=2.8.2 Can you help me fix it? NameError: name 'data1' is not defined Collecting sympy NameError: name 'data1' is not defined [closed] Ask Question Asked 9 months ago Modified 9 months ago Viewed 772 times 0 Closed. Typically, /usr/local/cuda. with open(checkpoint_file) as f: git clone https://github.com/PanQiWei/AutoGPTQ.git cd AutoGPTQ git checkout v0.2.2 pip install . sometimes i could get the correct device namebut more often the NameError above was given. Collecting yarl<2.0,>=1.0 The detected CUDA version (12.2) mismatches the version that was used to compile My generation speed also is lot faster now with the quantized models. available. creating build\lib.win-amd64-cpython-310\auto_gptq yesterday. 4-bit Model Requirements Installing Windows Subsystem for Linux (WSL) Unfortunately, this idiom isnt compatible with nvcc, because it doesnt allow File "K:\oobabooga-windows\text-generation-webui\repositories\GPTQ-for-LLaMa\quant.py", line 426, in forward We read every piece of feedback, and take your input very seriously. In clang, math.h and cmath are available and pass writing top-level names to quant_cuda.egg-info\top_level.txt For OverflowAI: Where Community & AI Come Together, Behind the scenes with the folks building OverflowAI (Ep. This video shows a mistake that b. rev2023.7.27.43548. It will be removed in the future and UntypedStorage will be the only storage class. and D. For example, if you were to pass one of these as a parameter to a File "D:\OnlineLearning\GPT\localGPT\run_localGPT.py", line 227, in main host_only on the device. hidden_states, self_attn_weights, present_key_value = self.self_attn( exit code: 128 > [106 lines of output] Already on GitHub? File "C:\Users\wuyux\anaconda3\envs\localgpt\lib\site-packages\setuptools_distutils\command\build_ext.py", line 345, in run

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