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NVIDIA-Genomics-Research / rapids-single-cell-examples

Examples of single-cell genomic analysis accelerated with RAPIDS
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RuntimeError: exception occured! when analysis using multigpu #100

Open 111kakaluote opened 1 year ago

111kakaluote commented 1 year ago

when I analysis 1 million cells collected by myself using multigpu, step of dask_sparse_arr.compute_chunk_sizes() is error. Error information is below:

cuml/linear_model/linear_regression.pyx in cuml.linear_model.linear_regression.LinearRegression.fit() RuntimeError: exception occured! file=_deps/raft-src/cpp/include/raft/linalg/eig.cuh line=144: eig.cuh: eigensolver couldn't converge to a solution. This usually occurs when some of the features do not vary enough. Obtained 64 stack frames

111kakaluote commented 1 year ago

when I analysis 1 million cells collected by myself using multigpu, step of dask_sparse_arr.compute_chunk_sizes() is error. Error information is below:

cuml/linear_model/linear_regression.pyx in cuml.linear_model.linear_regression.LinearRegression.fit() RuntimeError: exception occured! file=_deps/raft-src/cpp/include/raft/linalg/eig.cuh line=144: eig.cuh: eigensolver couldn't converge to a solution. This usually occurs when some of the features do not vary enough. Obtained 64 stack frames

en, when I change HVG(highly variable genes) from 2000 to 4000, the problem did not recur.

alyhafez95 commented 3 months ago

I am running into the same issue as well.