MP ZeRO++ #3954
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MP ZeRO++ #3954
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* fix conv_flops_compute when padding is a str when stride=1 * fix error * change type of paddings to tuple * fix padding calculation * apply formatting check --------- Co-authored-by: Cheng Li <[email protected]> Co-authored-by: Olatunji Ruwase <[email protected]>
* Update profiler.py * pre-commit run --all-files * Delete .DS_Store * Delete .DS_Store * Delete .DS_Store --------- Co-authored-by: Jeff Rasley <[email protected]> Co-authored-by: Cheng Li <[email protected]>
* zeropp chinese blog * try better quality images * make title larger * even larger... * various fix * center captions * more fixes * fix format
Co-authored-by: Stephen Youn <[email protected]> Co-authored-by: Arash Bakhtiari <[email protected]> Co-authored-by: Cheng Li <[email protected]> Co-authored-by: Ethan Doe <[email protected]> Co-authored-by: yidoe <[email protected]> Co-authored-by: Jeff Rasley <[email protected]>
Co-authored-by: HeyangQin <[email protected]> Co-authored-by: GuanhuaWang <[email protected]> Co-authored-by: cmikeh2 <[email protected]> Co-authored-by: Ammar Ahmad Awan <[email protected]> Co-authored-by: Jeff Rasley <[email protected]> Co-authored-by: Michael Wyatt <[email protected]> Co-authored-by: Olatunji Ruwase <[email protected]> Co-authored-by: Reza Yazdani <[email protected]>
* zeropp chinese blog * try better quality images * make title larger * even larger... * various fix * center captions * more fixes * fix format * add ZeRO++ Japanese blog * add links --------- Co-authored-by: HeyangQin <[email protected]> Co-authored-by: Conglong Li <[email protected]>
* fix autotuner when backward is not called * fix format --------- Co-authored-by: Olatunji Ruwase <[email protected]>
Co-authored-by: Ammar Ahmad Awan <[email protected]> Co-authored-by: Jeff Rasley <[email protected]> Co-authored-by: Logan Adams <[email protected]>
Co-authored-by: Jeff Rasley <[email protected]>
* Bug fix * Fixed formatting error --------- Co-authored-by: Logan Adams <[email protected]>
Co-authored-by: Stephen Youn <[email protected]> Co-authored-by: Jeff Rasley <[email protected]>
…icrosoft/DeepSpeed into HeyangQin/mixed_precision_lora
…icrosoft/DeepSpeed into HeyangQin/mixed_precision_lora
HeyangQin
changed the title
awan-10
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Aug 18, 2023
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As a follow-up and extension of the ZeRO++ release, the mixed precision ZeRO++ PR grants users the option to permanently keep the non-trainable weights quantized, which is very useful for LoRA. Compared with the standard weights quantization in ZeRO++, it allows for reduced memory usage and even better throughput. Many thanks to Sam for helping with this implementation.