Enable non-CUDA device for CIFAR10 and HelloDeepSpeed training example #651
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delock
requested review from
RezaYazdaniAminabadi,
ShadenSmith,
arashb,
awan-10,
cli99,
conglongli,
duli2012,
eltonzheng,
jeffra,
minjiaz,
mrwyattii,
samyam,
tjruwase,
xiaoxiawu-microsoft and
yaozhewei
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delock
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Hi @conglongli , can you review this PR? This PR enables CIFAR10 and HelloDeepSpeed training for non-CUDA devices i.e. CPU training. Thanks! |
tjruwase
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Aug 8, 2023
tjruwase
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Aug 8, 2023
tjruwase
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Aug 8, 2023
tjruwase
reviewed
Aug 8, 2023
tjruwase
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Aug 10, 2023
tjruwase
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Aug 14, 2023
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@delock, is this ready to merge? |
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LeetJoe
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Sep 15, 2023
deepspeedai#651) * support bf16 and CPU accelerator * support both bfloat16 and fp16 data type * change default data type to bf16 to help run this demo on both CPU and GPU * enable HelloDeepSpeed for non-CUDA device * revert changes for sh output * allow select bf16/fp16 datatype * revert unnecessary changes * seperate bf16 and fp16 config --------- Co-authored-by: Olatunji Ruwase <[email protected]>
hwchen2017
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Jun 8, 2025
#651) * support bf16 and CPU accelerator * support both bfloat16 and fp16 data type * change default data type to bf16 to help run this demo on both CPU and GPU * enable HelloDeepSpeed for non-CUDA device * revert changes for sh output * allow select bf16/fp16 datatype * revert unnecessary changes * seperate bf16 and fp16 config --------- Co-authored-by: Olatunji Ruwase <[email protected]>
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This PR enables BF16 data type support for CIFAR10 training example. The following changes are added:
ds_config.jsondataiter.next()is no longer supported by Pytorch