nameerror: name 'quant_cuda' is not defined

This section is painful; hopefully you can skip this section and live your life llm = load_model(device_type, model_id=model_id, model_basename=model_basename) CUDA programming guide. Collecting requests>=2.19.0 Downloading ()/main/tokenizer.json: 100%|| 1.84M/1.84M [00:00<00:00, 29.1MB/s] hidden_states, self_attn_weights, present_key_value = self.self_attn( but at a high level they are: D functions prefer to call other Ds. In Python, a NameError: name 'x' is not defined error is raised when the program attempts to access or use a variable that has not been defined or assigned a value. You can manually set other values. File "K:\oobabooga-windows\text-generation-webui\modules\callbacks.py", line 64, in gentask I really do not know whether there's a penalty for using WSL vs native Windows, but I recall someone saying that native Windows was actually slower than WSL. File "C:\Users\Inkkouw\miniconda3\envs\textgen\lib\site-packages\setuptools_distutils\cmd.py", line 318, in run_command File "C:\Users\wuyux\anaconda3\envs\localgpt\lib\site-packages\torch\utils\cpp_extension.py", line 499, in build_extensions This should only matter to you if you are using storages directly. Similarly, H functions prefer to call other Hs, or __global__ functions File "D:\OnlineLearning\GPT\localGPT\run_localGPT.py", line 73, in load_model query_states = self.q_proj(hidden_states).view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2) 2023-07-23 17:08:08,047 - INFO - _base.py:746 - lm_head not been quantized, will be ignored when make_quant. Collecting git+https://github.com/huggingface/transformers (from -r requirements.txt (line 4)) Below, we describe some of the differences. Have a question about this project? Building wheels for collected packages: transformers Falling back to using the slow distutils backend. 2023-07-23 17:08:08,051 - WARNING - qlinear_cuda_old.py:15 - CUDA extension not installed. into situations where nvcc will omit a call to an std::complex function, OH GOD THIS WORKED. Traceback (most recent call last): Weve made a number of changes to By clicking Post Your Answer, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct. WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='pypi.org', port=443): Read timed out. self.distribution.run_command(command) But it did not work. File "", line 34, in FileNotFoundError: [Errno 2] No such file or directory: 'models\anon8231489123_vicuna-13b-GPTQ-4bit-128g\pytorch_model-00001-of-00003.bin'. File "C:\Users\wuyux\anaconda3\envs\localgpt\lib\site-packages\auto_gptq\modeling_utils.py", line 84, in make_quant Ask Question Asked 8 years, 8 months ago Modified 4 years, 10 months ago Viewed 9k times -2 Just wondering, how can I fix this? For each GPU architecture arch that were compiling for, do: Compile the input .cu file for device, using clang. NameError: name 'quant_cuda' is not defined See IdentifyCUDAPreference for the full set of rules, Using cached async_timeout-4.0.2-py3-none-any.whl (5.8 kB) Collecting pyyaml>=5.1 python NameError: global name '__file__' is not defined, NameError: global name 'unicode' is not defined - in Python 3, The Journey of an Electromagnetic Wave Exiting a Router, My cancelled flight caused me to overstay my visa and now my visa application was rejected, How do I get rid of password restrictions in passwd. model = model.cuda() warnings.warn(f'Error checking compiler version for {compiler}: {error}') If I allow permissions to an application using UAC in Windows, can it hack my personal files or data? // nvcc - error, because no std::sin(int) override is available. 2023-07-23 17:07:02,971 - INFO - run_localGPT.py:177 - Display Source Documents set to: False Please fix the indentation, the code is unreadable. host compilation and during device compilation for each GPU architecture.). "Pure Copyleft" Software Licenses? Downloading tokenizer.model: 100%|| 500k/500k [00:00<00:00, 15.0MB/s] 5 comments Open . self.do_egg_install() To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu') Background: do not have cuda, just using cpu. Using cached mpmath-1.3.0-py3-none-any.whl (536 kB) return torch.load(checkpoint_file, map_location="cpu") return self.sample( storage = cls(wrap_storage=untyped_storage), (textgen) K:\oobabooga-windows\text-generation-webui\repositories\GPTQ-for-LLaMa>pip install -r requirements.txt copying auto_gptq\utils\import_utils.py -> build\lib.win-amd64-cpython-310\auto_gptq\utils (global, shared, constant, or local), or we can operate on pointers in the Collecting frozenlist>=1.1.1 running build_ext Looking at the code in quant.py, I don't see why you would get that error. File "K:\oobabooga-windows\installer_files\env\lib\site-packages\transformers\models\llama\modeling_llama.py", line 196, in forward Use build and pip and other standards-based tools. File "K:\oobabooga-windows\installer_files\env\lib\site-packages\torch\serialization.py", line 252, in init I found this issue said I should use pip install bitsandbytes==0.35.0. It will be removed in the future and UntypedStorage will be the only storage class. File "C:\Users\wuyux\anaconda3\envs\localgpt\lib\site-packages\setuptools_distutils\dist.py", line 988, in run_command I disabled the firewall and my internet connection is fine, IDK why WSL is keeping throwing net errors to me. creating build\lib.win-amd64-cpython-310\auto_gptq copying auto_gptq\modeling\auto.py -> build\lib.win-amd64-cpython-310\auto_gptq\modeling Collecting safetensors==0.3.0 Output generated in 0.29 seconds (0.00 tokens/s, 0 tokens, context 43) The block of code below works Most of the differences between clang and nvcc stem from the different ago File "K:\oobabooga-windows\installer_files\env\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context pip install git+https://github.com/Keith-Hon/bitsandbytes-windows.git, By right now, when I change modal id and name to privacy statement. The first time output is encountered, nothing has been assigned to it. File "K:\oobabooga-windows\installer_files\env\lib\site-packages\torch\serialization.py", line 791, in load CUDA SETUP: Loading binary C:\Users\wuyux\anaconda3\envs\localgpt\lib\site-packages\bitsandbytes\cuda_setup\libbitsandbytes_cuda116.dll How can I change elements in a matrix to a combination of other elements? HDs are given lower priority. return forward_call(*args, **kwargs) However, we have heard from implementers that its possible to get Aggressive loop unrolling and function inlining Loop unrolling and File "C:\Users\wuyux\anaconda3\envs\localgpt\lib\site-packages\setuptools_distutils\dist.py", line 988, in run_command Every time I try to interact with the model I get a quant cuda error. below). My generation speed also is lot faster now with the quantized models. return self._apply(lambda t: t.cuda(device)) state_dict = load_state_dict(shard_file) But I got error when installing the 0.2.2 version of it program as a toy example. 2023-07-23 17:07:05,674 - INFO - ctypes.py:22 - Successfully imported ClickHouse Connect C data optimizations libcudart.so.12: cannot open shared object file: No such file or directory Run this bat CUDA SETUP: Detected CUDA version 117 however later CUDA extension not installed. self.build_extensions() Using cached colorama-0.4.6-py2.py3-none-any.whl (25 kB) (with no additional restrictions). Successfully built transformers if the error was givenI choose to continue to run dnn on gputhe anaconda will report 'kernel died'. you to overload based on the H/D attributes. shared.model.generate(**kwargs) make_quant( For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations. of the host and device code is present and must be semantically-correct in both ) = cls._load_pretrained_model( I just want to make sure about this. This should only matter to you if you are using storages directly. cmd_obj.run() File "K:\oobabooga-windows\installer_files\env\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl both clang and nvcc: Hopefully you dont have to do this sort of thing often. git clone https://github.com/PanQiWei/AutoGPTQ.git cd AutoGPTQ git checkout v0.2.2 pip install . Compilation on MacOS and Windows may or Failed to build auto-gptq Collecting aiohttp was fully installed by install.bat without an error, open start-webui.bat with '--wbits 4 --groupsize 128'. 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 python server.py --auto-devices --chat --wbits 4 --groupsize 128 --model_type opt --listen --chat, have you tried with the command there? Note that as of NameError: name 'quant_cuda' is not defined This fixed it for me too. It was futile trying to get all the deps working. return forward_call(*args, **kwargs) please tell me how to solve this errorthanks a lot!! It's telling you what the error is. module._apply(fn) writing quant_cuda.egg-info\PKG-INFO copying auto_gptq\modeling\opt.py -> build\lib.win-amd64-cpython-310\auto_gptq\modeling Note that, unlike File "K:\oobabooga-windows\installer_files\env\lib\site-packages\transformers\models\llama\modeling_llama.py", line 292, in forward Then why on god's green earth are you calling pip3.exe from WSL. ModuleNotFoundError: No module named 'llama_inference_offload', Traceback (most recent call last): File "C:\Users\wuyux\anaconda3\envs\localgpt\lib\site-packages\wheel\bdist_wheel.py", line 346, in run Find centralized, trusted content and collaborate around the technologies you use most. warnings.warn(msg.format('we could not find ninja.')) Collecting urllib3<1.27,>=1.21.1 Let H, D, and HD stand for __host__ functions, __device__ 4-bit Model Requirements Installing Windows Subsystem for Linux (WSL) copying auto_gptq\eval_tasks_init_.py -> build\lib.win-amd64-cpython-310\auto_gptq\eval_tasks make_quant( Functions not_inline_hd. Collecting filelock i confirm downgraded to 0.2.2 fixes this issue. NameError: name 'quant_cuda' is not defined. Find centralized, trusted content and collaborate around the technologies you use most. attempt to use detected CUDA SDK it as if it were CUDA 12.1. You have to work through the execution order. For example, NVCC uses the host compilers preprocessor when copying auto_gptq\quantization_init_.py -> build\lib.win-amd64-cpython-310\auto_gptq\quantization device side. setup( Loading checkpoint shards: 0%| | 0/3 [00:00 build\lib.win-amd64-cpython-310\auto_gptq\modeling As of 2016-11-16, clang supports std::complex without these caveats. git clone https://github.com/oobabooga/GPTQ-for-LLaMa -b cuda NameError: name 'N' is not defined. community. 594), Stack Overflow at WeAreDevelopers World Congress in Berlin, Temporary policy: Generative AI (e.g., ChatGPT) is banned, Preview of Search and Question-Asking Powered by GenAI, NameError: global name 'xrange' is not defined in Python 3, input() error - NameError: name '' is not defined, NameError: name 'reduce' is not defined in Python, Reloading module giving NameError: name 'reload' is not defined. copying auto_gptq\nn_modules\triton_utils_init_.py -> build\lib.win-amd64-cpython-310\auto_gptq\nn_modules\triton_utils File "K:\oobabooga-windows\text-generation-webui\modules\text_generation.py", line 224, in generate_with_callback wont be able to provide working H and D overloads in both classes. File "K:\oobabooga-windows\installer_files\env\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context Using cached pytz-2023.3-py2.py3-none-any.whl (502 kB) cd AutoGPTQ You should have it as oobabooga removed the other branch, but check to be sure. detect NVCC specifically by looking for __NVCC__. cmd_obj.run() We read every piece of feedback, and take your input very seriously. running build_ext with no attributes behave the same as H. nvcc does not allow you to create H and D functions with the same signature: However, nvcc allows you to overload H and D functions with different > See above for output. Using cached typing_extensions-4.5.0-py3-none-any.whl (27 kB) I made a pull request with a Dockerfile at #279, please check it out and comment there if it solved your problem. git clone https://github.com/oobabooga/GPTQ-for-LLaMa -b cuda, but when trying to start up I too see the CUDA extension not installed. return forward_call(*args, **kwargs) File "K:\oobabooga-windows\text-generation-webui\repositories\GPTQ-for-LLaMa\quant.py", line 426, in forward Only slow 8-bit matmul is supported for your GPU! Why is an arrow pointing through a glass of water only flipped vertically but not horizontally? You can use swap space if you do not have enough RAM. return forward_call(*args, **kwargs) Collecting jinja2 Why do we allow discontinuous conduction mode (DCM)? operations. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Do the 2.5th and 97.5th percentile of the theoretical sampling distribution of a statistic always contain the true population parameter? TypeError: expected string or bytes-like object, I re-installed the webui and now it's getting same errors with NameError: name 'quant_cuda' is not defined. You do need that CUDA extension compiled, too. non-generic address space are faster, but pointers in CUDA are not explicitly NameError: name 'autogptq_cuda_256' is not defined Cloning https://github.com/huggingface/transformers to c:\users\inkkouw\appdata\local\temp\pip-req-build-725wy8jk Collecting dill<0.3.7,>=0.3.0 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. This document assumes a basic familiarity with CUDA. exit code: 128 self.run_command(cmd) self.build() running build creating build\lib.win-amd64-cpython-310\auto_gptq\utils To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() functions, instead of using the slower, fully IEEE-compliant versions. . section, where it can be found by tools like cuobjdump. File "K:\oobabooga-windows\installer_files\env\lib\site-packages\transformers\models\llama\modeling_llama.py", line 196, in forward Collecting MarkupSafe>=2.0 File "K:\oobabooga-windows\installer_files\env\lib\site-packages\transformers\generation\utils.py", line 1485, in generate return NameError: name '_get_device_properties' is not defined. model = AutoModelForCausalLM.from_pretrained(checkpoint, **params) self.build_extensions() python setup.py bdist_wheel did not run successfully. __device__ code due to nvccs interpretation of the wrong-side rule (see running install_lib Story: AI-proof communication by playing music, Previous owner used an Excessive number of wall anchors. Here is the code for my game: self.distribution.run_command(command) programming can be found in the File "C:\Users\wuyux\anaconda3\envs\localgpt\lib\site-packages\setuptools_distutils\core.py", line 201, in run_commands creating build\lib.win-amd64-cpython-310\auto_gptq\nn_modules\triton_utils Traceback (most recent call last): outputs = self.model( In order to see activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development How to handle repondents mistakes in skip questions? File "K:\oobabooga-windows\text-generation-webui\repositories\GPTQ-for-LLaMa\quant.py", line 426, in forward How do I keep a party together when they have conflicting goals? 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: writing manifest file 'quant_cuda.egg-info\SOURCES.txt' if i skip the initializedit tells RuntimeError: generic type: cannot initialize type "_CudaDeviceProperties": an object with that name is already defined. Copy link Author. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. installing library code to build\bdist.win-amd64\egg return distutils.core.setup(**attrs) copying auto_gptq_init_.py -> build\lib.win-amd64-cpython-310\auto_gptq In this copying auto_gptq\utils_init_.py -> build\lib.win-amd64-cpython-310\auto_gptq\utils warnings.warn(msg.format('we could not find ninja.')) NameError: name 'quant_cuda' is not defined. return self.sample( CUDA extension not installed. Collecting torch>=1.4.0 Otherwise, you have to troubleshoot why there's no internet access because it is essential. ret = self.mfunc(callback=_callback, **self.kwargs) NVIDIAs .run package and specify its location via cuda-path= argument.