sokrypton / sokrypton/ColabFold
error for not enough gpu
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Description
Expected Behavior
Current Behavior
Steps to Reproduce (for bugs)
Please make sure to reproduce the issue after a "Factory Reset" in Colab.
If running locally ypdate you local installation colabfold_batch to the newest version.
Please provide your input if you can share it.
ColabFold Output (for bugs)
Not Enough GPU memory? INTERNAL: CustomCall failed: jaxlib/gpu/prng_kernels.cc:33: operation gpuGetLastError() failed: cudaGetErrorString symbol not found.
Context
i have faced with this error
Not Enough GPU memory? INTERNAL: CustomCall failed: jaxlib/gpu/prng_kernels.cc:33: operation gpuGetLastError() failed: cudaGetErrorString symbol not found.
Your Environment
Include as many relevant details about the environment you experienced the bug in.
- Git commit used
- If you run it on a local system. Please add the server specifications
- Operating system and version:
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No repository file, test, or entry point is named. Start by collecting the missing operating system, server or Colab details, Git commit, input, and reproducible output after a Factory Reset or local update; done means the GPU-memory error has a confirmed scope and reproducible resolution.
Written by the indexing model from the issue text.
Assessment
- Domain
- bioinformatics, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100