Cannot use of GPU with CUDA instead only CPU which is very slow

[dadupriv]

Pre-check

• I have searched the existing issues and none cover this bug.

Description

Windows OS:
all requirements that CUDA has
gcc++ 14
Runing PrivateGPT but only with CPU not GPU

CUDA:
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 560.94 Driver Version: 560.94 CUDA Version: 12.6 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Driver-Model | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 3090 WDDM | 00000000:03:00.0 Off | N/A |
| 0% 37C P8 21W / 350W | 47MiB / 24576MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
| 1 NVIDIA GeForce RTX 3090 WDDM | 00000000:04:00.0 Off | N/A |
| 0% 45C P8 31W / 350W | 340MiB / 24576MiB | 2% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 14620 C+G ...crosoft\Edge\Application\msedge.exe N/A |
| 1 N/A N/A 9456 C+G C:\Windows\explorer.exe N/A |
| 1 N/A N/A 10884 C+G ...2txyewy\StartMenuExperienceHost.exe N/A |
| 1 N/A N/A 12132 C+G ....Search_cw5n1h2txyewy\SearchApp.exe N/A |
| 1 N/A N/A 14668 C+G ...CBS_cw5n1h2txyewy\TextInputHost.exe N/A |
| 1 N/A N/A 17180 C+G ...am Files (x86)\VideoLAN\VLC\vlc.exe N/A |
| 1 N/A N/A 18792 C+G ...5n1h2txyewy\ShellExperienceHost.exe N/A |
+-----------------------------------------------------------------------------------------+

I have searched, and cannot compile llama cpp with CUDA problem as below.

Anaconda Powershell

PS C:\Users\XXXXX>

$env:CMAKE_ARGS='-DLLAMA_CUBLAS=on'; poetry run pip install --force-reinstall --no-cache-dir llama-cpp-python numpy==1.26.0
Collecting llama-cpp-python
Downloading llama_cpp_python-0.2.90.tar.gz (63.8 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.8/63.8 MB 40.9 MB/s eta 0:00:00
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing metadata (pyproject.toml) ... done
Collecting numpy==1.26.0
Downloading numpy-1.26.0-cp311-cp311-win_amd64.whl.metadata (61 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 61.1/61.1 kB 3.4 MB/s eta 0:00:00
Collecting typing-extensions>=4.5.0 (from llama-cpp-python)
Downloading typing_extensions-4.12.2-py3-none-any.whl.metadata (3.0 kB)
Collecting diskcache>=5.6.1 (from llama-cpp-python)
Downloading diskcache-5.6.3-py3-none-any.whl.metadata (20 kB)
Collecting jinja2>=2.11.3 (from llama-cpp-python)
Downloading jinja2-3.1.4-py3-none-any.whl.metadata (2.6 kB)
Collecting MarkupSafe>=2.0 (from jinja2>=2.11.3->llama-cpp-python)
Downloading MarkupSafe-2.1.5-cp311-cp311-win_amd64.whl.metadata (3.1 kB)
Downloading numpy-1.26.0-cp311-cp311-win_amd64.whl (15.8 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 15.8/15.8 MB 38.6 MB/s eta 0:00:00
Downloading diskcache-5.6.3-py3-none-any.whl (45 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 45.5/45.5 kB ? eta 0:00:00
Downloading jinja2-3.1.4-py3-none-any.whl (133 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 133.3/133.3 kB ? eta 0:00:00
Downloading typing_extensions-4.12.2-py3-none-any.whl (37 kB)
Downloading MarkupSafe-2.1.5-cp311-cp311-win_amd64.whl (17 kB)
Building wheels for collected packages: llama-cpp-python
Building wheel for llama-cpp-python (pyproject.toml) ... error
error: subprocess-exited-with-error

× Building wheel for llama-cpp-python (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [31 lines of output]
*** scikit-build-core 0.10.6 using CMake 3.30.3 (wheel)
*** Configuring CMake...
2024-09-11 10:14:43,243 - scikit_build_core - WARNING - Can't find a Python library, got libdir=None, ldlibrary=None, multiarch=None, masd=None
loading initial cache file C:\Users\nasdadu\AppData\Local\Temp\tmp2efzwb2l\build\CMakeInit.txt
-- Building for: Visual Studio 17 2022
-- Selecting Windows SDK version 10.0.22621.0 to target Windows 10.0.19045.
-- The C compiler identification is MSVC 19.35.32217.1
-- The CXX compiler identification is MSVC 19.35.32217.1
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.35.32215/bin/Hostx64/x64/cl.exe - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.35.32215/bin/Hostx64/x64/cl.exe - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Found Git: C:/Users/nasdadu/pinokio/bin/miniconda/Library/bin/git.exe (found version "2.42.0.windows.1")
CMake Error at vendor/llama.cpp/CMakeLists.txt:95 (message):
LLAMA_CUBLAS is deprecated and will be removed in the future.

    Use GGML_CUDA instead

  Call Stack (most recent call first):
    vendor/llama.cpp/CMakeLists.txt:100 (llama_option_depr)


  -- Configuring incomplete, errors occurred!

  *** CMake configuration failed
  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for llama-cpp-python
Failed to build llama-cpp-python
ERROR: Could not build wheels for llama-cpp-python, which is required to install pyproject.toml-based projects

[notice] A new release of pip is available: 23.3.1 -> 24.2
[notice] To update, run: python.exe -m pip install --upgrade pip

Steps to Reproduce

Windows OS:
Input commands in powershell:
$env:CMAKE_ARGS='-DLLAMA_CUBLAS=on'; poetry run pip install --force-reinstall --no-cache-dir llama-cpp-python numpy==1.26.0

Expected Behavior

Expected BLAS=1 with GPU usage

Actual Behavior

Output BLAS=0 only CPU usage

Environment

Windows 10 19045.4780 RTX 3090

Additional Information

No response

Version

No response

Setup Checklist

• Confirm that you have followed the installation instructions in the project’s documentation.
• Check that you are using the latest version of the project.
• Verify disk space availability for model storage and data processing.
• Ensure that you have the necessary permissions to run the project.

NVIDIA GPU Setup Checklist

• Check that the all CUDA dependencies are installed and are compatible with your GPU (refer to CUDA's documentation)
• Ensure an NVIDIA GPU is installed and recognized by the system (run nvidia-smi to verify).
• Ensure proper permissions are set for accessing GPU resources.
• Docker users - Verify that the NVIDIA Container Toolkit is configured correctly (e.g. run sudo docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi)

[dadupriv]

$env:CMAKE_ARGS='-DLLAMA_CUBLAS=on'; poetry run pip install --force-reinstall --no-cache-dir llama-cpp-python numpy==1.26.0
Solved! Replace DLLAMA_CUBLAS=on with GGML_CUDA=on

[jveronese]

Is there a certain way I need to launch this? I launch using https://github.com/zylon-ai/private-gpt/issues/2083 after running '$env:CMAKE_ARGS='-GGML_CUDA=on'; poetry run pip install --force-reinstall --no-cache-dir llama-cpp-python numpy==1.26.0' and it still uses my CPU instead of GPU

[jacooooooooool]

paste the entire line into the terminal and click enter:

CMAKE_ARGS="-DGGML_CUDA=on" pip install llama-cpp-python --upgrade --force-reinstall --no-cache-dir