Closed AlejandraRM67 closed 6 months ago
Hi @AlejandraRM67
Are you in Google Colab or locally? If locally, could you please try running the notebook using DL4Miceverywhere? Thank you Esti
Hi, I think this issue should now be fixed Cheers Guillaume
Describe the bug When installing the key dependencies I get some errors and then I don't have access to the GPU when I am actually using a V100 which works for other notebooks.
To Reproduce Steps to reproduce the behavior:
1.Install CARE and dependencies 1.1. Install key dependencies: I get the following errors: 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. pandas-gbq 0.19.2 requires google-auth-oauthlib>=0.7.0, but you have google-auth-oauthlib 0.4.6 which is incompatible. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 301.1/301.1 kB 5.9 MB/s eta 0:00:00 Preparing metadata (setup.py) ... done error: subprocess-exited-with-error
× python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> See above for output.
note: This error originates from a subprocess, and is likely not a problem with pip. Building wheel for h5py (setup.py) ... error ERROR: Failed building wheel for h5py ERROR: Could not build wheels for h5py, which is required to install pyproject.toml-based projects
1.3. Load key dependencies: I get the following warning: 2.8.0 Tensorflow enabled. /usr/local/lib/python3.10/dist-packages/_distutils_hack/init.py:33: UserWarning: Setuptools is replacing distutils. warnings.warn("Setuptools is replacing distutils.") Libraries installed Notebook version: 1.15.2 Latest notebook version: 1.15.2 This notebook is up-to-date.
2. Initialise the Colab session 2.1. Check for GPU access: You do not have GPU access. Did you change your runtime ? If the runtime setting is correct then Google did not allocate a GPU for your session Expect slow performance. To access GPU try reconnecting late
Expected behavior I have followed the instructions and run the code cells in order, and I am connected to a V100 GPU, I would expect to have access to the GPU. I'm trying to use it like other times in the past but now it doesn't work.
Desktop (please complete the following information):
Thank you in advance!!!!