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I'm running colabfold/mmseqs, but I get a cuda error.
Any advice on what could be wrong? I ran quite a few trials, but couldn't figure out
I installed via
RUN wget https://mmseqs.com/latest/mmseqs-linux-gpu.tar.gz && \
tar xvfz mmseqs-linux-gpu.tar.gz
ENV PATH=/app/mmseqs/bin/:$PATH
Using pre-initialized databases from /workspace/db
S3 upload is not enabled, skipping upload
Starting in server mode...
Starting MMseqs2 GPU servers...
No specific CUDA devices set, using all available GPUs
Starting colabfold_envdb server...
Starting uniref30 server...
GPU servers are running. Use CUDA_VISIBLE_DEVICES to control GPU allocation.
Database location: /workspace/db
Server PIDs: 394, 395
Server mode started, now waiting for servers to close
gpuserver /workspace/db/uniref30_2302_db --max-seqs 10000 --db-load-mode 0 --prefilter-mode 1
MMseqs Version: a2815df9a6c6da173589fb65b3f71639ea08336d
Use GPU 0
Max results per query 10000
Preload mode 0
Prefilter mode 1
7971804618108345187
gpuserver /workspace/db/colabfold_envdb_202108_db --max-seqs 10000 --db-load-mode 0 --prefilter-mode 1
MMseqs Version: a2815df9a6c6da173589fb65b3f71639ea08336d
Use GPU 0
Max results per query 10000
Preload mode 0
Prefilter mode 1
13217853096240131807
CUDA error: invalid configuration argument : /work/lib/libmarv/src/pssm.cuh, line 346
I'm running colabfold/mmseqs, but I get a cuda error.
Any advice on what could be wrong? I ran quite a few trials, but couldn't figure out
I installed via
Nvidia SMI
NVCC
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