[cifar ds training]: Set cuda device during initialization of distributed backend. #931
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The commit is needed to avoid GPU 0 being set as the compute stream via torch.cuda.current_stream() during initialization across all GPUs. Signed-off-by: Jagadish Krishnamoorthy <[email protected]>
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ping @jeffdaily |
jeffdaily
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Oct 15, 2024
tjruwase
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Oct 15, 2024
Signed-off-by: Jagadish Krishnamoorthy <[email protected]>
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@tjruwase can you please review / merge ? |
tjruwase
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Oct 29, 2024
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@jagadish-amd, apologies for the delay. Done. |
hwchen2017
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Jun 8, 2025
…uted backend. (#931) * Set cuda device during initialization of distributed backend. The commit is needed to avoid GPU 0 being set as the compute stream via torch.cuda.current_stream() during initialization across all GPUs. Signed-off-by: Jagadish Krishnamoorthy <[email protected]> * Use device-agnostic accelerator API. Signed-off-by: Jagadish Krishnamoorthy <[email protected]> --------- Signed-off-by: Jagadish Krishnamoorthy <[email protected]>
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The commit is needed to avoid GPU 0 being set as the compute stream via torch.cuda.current_stream() during initialization across all GPUs.
The perf RunningAvgSamplesPerSec metrics improves on a multi gpu node, tested on AMD GPU with ROCm stack.
As number of GPUs increases; without this commit, GPU 0 takes in more load compared to other GPUs.