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colab pip install notebook isn’t working #100

Open raybellwaves opened 6 months ago

raybellwaves commented 6 months ago

https://colab.research.google.com/drive/13sspqiEZwso4NYTbsflpPyNFaVAAxUgr#scrollTo=xgAFgI15ddf6 from image attached on https://rapids.ai/ Screenshot 2024-03-13 at 1 46 36 PM

gives

----> 1 import cudf
      2 cudf.__version__

ModuleNotFoundError: No module named 'cudf'
raybellwaves commented 6 months ago

FYI a standard install seems to work out the box (at least today):

!pip install \
    --extra-index-url=https://pypi.nvidia.com \
    cudf-cu12==24.2.* dask-cudf-cu12==24.2.* cuml-cu12==24.2.* \
    cugraph-cu12==24.2.* cuspatial-cu12==24.2.* cuproj-cu12==24.2.* \
    cuxfilter-cu12==24.2.* cucim-cu12==24.2.* pylibraft-cu12==24.2.* \
    raft-dask-cu12==24.2.*

see https://colab.research.google.com/drive/1kEmSMnnigjaSwtoqrQPvXx02Da_Bnngn?usp=sharing

bdice commented 6 months ago

I wasn't able to reproduce the error. The notebook ran for me.

Installation output ``` # This get the RAPIDS-Colab install files and test check your GPU. Run this and the next cell only. # Please read the output of this cell. If your Colab Instance is not RAPIDS compatible, it will warn you and give you remediation steps. !git clone https://github.com/rapidsai/rapidsai-csp-utils.git !python rapidsai-csp-utils/colab/pip-install.py ``` ``` Cloning into 'rapidsai-csp-utils'... remote: Enumerating objects: 460, done. remote: Counting objects: 100% (191/191), done. remote: Compressing objects: 100% (100/100), done. remote: Total 460 (delta 131), reused 124 (delta 91), pack-reused 269 Receiving objects: 100% (460/460), 126.19 KiB | 5.49 MiB/s, done. Resolving deltas: 100% (233/233), done. Collecting pynvml Downloading pynvml-11.5.0-py3-none-any.whl (53 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 53.1/53.1 kB 1.5 MB/s eta 0:00:00 Installing collected packages: pynvml Successfully installed pynvml-11.5.0 *********************************************************************** Woo! Your instance has a Tesla T4 GPU! We will install the latest stable RAPIDS via pip 24.2.*! Please stand by, should be quick... *********************************************************************** Looking in indexes: https://pypi.org/simple, https://pypi.nvidia.com/ Collecting cudf-cu12==24.2.* Downloading https://pypi.nvidia.com/cudf-cu12/cudf_cu12-24.2.2-cp310-cp310-manylinux_2_28_x86_64.whl (464.7 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 464.7/464.7 MB 3.0 MB/s eta 0:00:00 Collecting cuml-cu12==24.2.* Downloading https://pypi.nvidia.com/cuml-cu12/cuml_cu12-24.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1074.6 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 GB 1.5 MB/s eta 0:00:00 Collecting cugraph-cu12==24.2.* Downloading https://pypi.nvidia.com/cugraph-cu12/cugraph_cu12-24.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1311.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.3/1.3 GB 715.2 kB/s eta 0:00:00 Collecting cuspatial-cu12==24.2.* Downloading 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/usr/local/lib/python3.10/dist-packages (from beautifulsoup4->nbconvert>=6.4.4->jupyter-server>=1.0->jupyter-server-proxy->cuxfilter-cu12==24.2.*) (2.5) Requirement already satisfied: pycparser in /usr/local/lib/python3.10/dist-packages (from cffi>=1.0.1->argon2-cffi-bindings->argon2-cffi->jupyter-server>=1.0->jupyter-server-proxy->cuxfilter-cu12==24.2.*) (2.21) Installing collected packages: nvtx, cuda-python, simpervisor, pynvml, pynvjitlink-cu12, pyct, protobuf, numpy, ucx-py-cu12, dask, treelite, rmm-cu12, distributed, rapids-dask-dependency, pylibraft-cu12, datashader, cuproj-cu12, cudf-cu12, cucim-cu12, pylibcugraph-cu12, dask-cudf-cu12, dask-cuda, cuspatial-cu12, raft-dask-cu12, cuml-cu12, cugraph-cu12, jupyter-server-proxy, cuxfilter-cu12 Attempting uninstall: pynvml Found existing installation: pynvml 11.5.0 Uninstalling pynvml-11.5.0: Successfully uninstalled pynvml-11.5.0 Attempting uninstall: protobuf Found existing installation: protobuf 3.20.3 Uninstalling protobuf-3.20.3: Successfully uninstalled protobuf-3.20.3 Attempting uninstall: numpy Found existing installation: numpy 1.25.2 Uninstalling numpy-1.25.2: Successfully uninstalled numpy-1.25.2 Attempting uninstall: dask Found existing installation: dask 2023.8.1 Uninstalling dask-2023.8.1: Successfully uninstalled dask-2023.8.1 Attempting uninstall: distributed Found existing installation: distributed 2023.8.1 Uninstalling distributed-2023.8.1: Successfully uninstalled distributed-2023.8.1 ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. tensorflow-metadata 1.14.0 requires protobuf<4.21,>=3.20.3, but you have protobuf 4.25.3 which is incompatible. Successfully installed cucim-cu12-24.2.0 cuda-python-12.4.0 cudf-cu12-24.2.2 cugraph-cu12-24.2.0 cuml-cu12-24.2.0 cuproj-cu12-24.2.0 cuspatial-cu12-24.2.0 cuxfilter-cu12-24.2.0 dask-2024.1.1 dask-cuda-24.2.0 dask-cudf-cu12-24.2.2 datashader-0.16.0 distributed-2024.1.1 jupyter-server-proxy-4.1.1 numpy-1.24.4 nvtx-0.2.10 protobuf-4.25.3 pyct-0.5.0 pylibcugraph-cu12-24.2.0 pylibraft-cu12-24.2.0 pynvjitlink-cu12-0.1.14 pynvml-11.4.1 raft-dask-cu12-24.2.0 rapids-dask-dependency-24.2.0 rmm-cu12-24.2.0 simpervisor-1.0.0 treelite-4.0.0 ucx-py-cu12-0.36.0 Collecting cupy-cuda12x Downloading cupy_cuda12x-13.0.0-cp310-cp310-manylinux2014_x86_64.whl (88.3 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 88.3/88.3 MB 9.1 MB/s eta 0:00:00 Requirement already satisfied: numpy<1.29,>=1.22 in /usr/local/lib/python3.10/dist-packages (from cupy-cuda12x) (1.24.4) Requirement already satisfied: fastrlock>=0.5 in /usr/local/lib/python3.10/dist-packages (from cupy-cuda12x) (0.8.2) Installing collected packages: cupy-cuda12x Successfully installed cupy-cuda12x-13.0.0 *********************************************************************** The pip install of RAPIDS is complete. Please do not run any further installation from the conda based installation methods, as they may cause issues! Please ensure that you're pulling from the git repo to remain updated with the latest working install scripts. Troubleshooting: - If there is an installation failure, please check back on RAPIDSAI owned templates/notebooks to see how to update your personal files. - If an installation failure persists when using the latest script, please make an issue on https://github.com/rapidsai-community/rapidsai-csp-utils *********************************************************************** ``` 
>>> import cudf
>>> cudf.__version__
'24.02.02'