Comments (3)
@zhibin-daily : we also noticed the issue of rank = 70, very recently. It is VERY strange and we are looking into it. AS for SU-ALS, depending on if you need model parallelism or data parallelism or both, you need to blocktize R from both CSC and CSRs. We use Python and numpy to do this before sending to GPUs. This part is not currently open sourced as we have not generalized it to deal with data of any size yet. But I can help if you have specific questions.
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Has there been any update on this issue?
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There's a race condition in get_hermitianT10 and get_hermitianT100.
It's fixed in h2oai/h2o4gpu#729 Also python binding is added and we are going to maintain and improve the algorithm.
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Related Issues (19)
- shall we provide a python interface? HOT 9
- Provide a direct link to prepared netflix dataset HOT 1
- Does CuMF support implicit feedback data? HOT 2
- Illegal memory access when k=100 for Netflix dataset HOT 2
- Yahoo Music dataset HOT 1
- als.cu(205): error: more than one instance of overloaded function "isnan" matches the argument list HOT 3
- Missing datasets HOT 4
- Extracting Outputs HOT 1
- Dataset for hugewiki HOT 1
- all elements in XTHost and ThetaTHost are all Nan HOT 2
- Input data format? HOT 4
- Issue: ./als_tf.so: undefined symbol: _ZTIN10tensorflow8OpKernelE
- identifier "cusparseScsrmm2" is undefined
- sgd? HOT 9
- Tensorflow interface for cuMF? HOT 1
- MemoryError HOT 6
- it cause 'core dump' on GTX950m(4G) with netflex data.... HOT 2
- Unable to run MovieLens10m Dataset HOT 4
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