Make using CUDA an optional parameter #31
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This also makes it easier to run tests in CPU-only environments
This was referenced Jun 5, 2025
andsild
commented
Jun 5, 2025
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| def predictLabelsForItemDetails( | ||
| self, batchSize, ds: h5py._hl.dataset.Dataset, item, model, prog, | ||
| self, batchSize, ds: h5py._hl.dataset.Dataset, indices, item, model, use_cuda, prog, |
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the indices are for the cutoff PR
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This makes it easier to run tests in CPU-only environments (tests in separate PR).
We've also debated whether or not there can be some cases where training is faster for CPU, e.g. tiny images, so could be an interesting option to have