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License: MIT License
Two implementations of ZeRO-1 optimizer sharding in JAX
License: MIT License
Wandb log:
37129af4df4360d64b8518d4da9fe45da8c71df9
with pmap scriptWill run with smaller model to see if same behavior is occurring, possible sources of error:
Similar timing code to benchmark_pmap.py
Port over your code from Little-GPT and add extraction/conversion methods
Current attention implementation in src/layers.py
doesn't keep separate attention heads sharded during computation. I believe this is due to the attn_out = attn_out.reshape(B, T, C)
line.
Can probably look at HF, MTJ or another flax implementation for a better way to implement this
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