Fast softmax #972
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Fast softmax #972
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…at matches its scale method (#92)
* Done to allow quantization using HQT * Added use_flash_attention and flash_attention_recompute to run_lm_eval
* Enable fast softmax mode in FusedSDPA * Add fast_softmax parameter to _gradient_checkpointing_func
wszczurekhabana
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ssarkar2,
bhargaveede,
vivekgoe,
mandy-li,
libinta,
dvarshney-habana and
regisss
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dvarshney-habana
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May 22, 2024
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@wszczurekhabana Pls confirm we can merge this now as #967 is merged.
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regisss
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Jun 6, 2024
ssarkar2
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This was referenced Jun 12, 2024
imangohari1
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Jun 13, 2024
Co-authored-by: Dudi Lester <[email protected]> Co-authored-by: Sayantan Sarkar <[email protected]>
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Changes from: HabanaAI#159
This change is dependent on: #967 to be merged first.
Original description:
Support for setting fast softmax mode in FusedSDPA operator. This is a tradeoff: performance vs accuracy.
Data on performance:
Data on accuracy (using mlperf test from: https://gerrit.habana-labs.com/plugins/gitiles/mlperf_inference/+/refs/heads/master_next/code/llama/llama_greedy.py
and https://gerrit.habana-labs.com/plugins/gitiles/mlperf_inference/+/refs/heads/master_next/code/llama/evaluation.py):