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I always get an cuda out of error warning. The code doesnt work on my gpu or CPU. For the gpu I get the error message from issue #4
and for the cpu I receive follwing error message:
Investigating in some threads, I found that it is often due to the immense size of your network. And a probable solution for this, would be to downsample the batch size. But Your code isnt working with batches right?
What could be done here?
Best,
T
The text was updated successfully, but these errors were encountered:
Hi @TdzBAS ,
Our impelmentation uses full-graph rather than mini-batch processing by design. Sorry that our approach doesn't take more consideration in reducing memory requirements. I've successfully tested it with 3,000 highly variable genes on a single NVIDIA A100 GPU (40GB memory).
Could you please provide: 1) Your GPU specifications and 2) the size of your input data?
Hi @WPZgithub ,
I always get an cuda out of error warning. The code doesnt work on my gpu or CPU. For the gpu I get the error message from issue #4
and for the cpu I receive follwing error message:
Investigating in some threads, I found that it is often due to the immense size of your network. And a probable solution for this, would be to downsample the batch size. But Your code isnt working with batches right?
What could be done here?
Best,
T
The text was updated successfully, but these errors were encountered: