feat: add IA3 prompt tuning #2
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This PR adds$(IA)^3$ tuning per Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning.
The main change is the addition of two new classes,$(IA)^3$ .
ParallelMLPIA3andParallelSelfAttentionIA3. Both of these simply create a new scaling vector then modify the forward pass to perform the (re)scaling. Note that the forward pass is otherwise unchanged except for where we applyThis has been tested using model parallelism (i.e. tensor parallelism in DeepSpeed terminology) on the Stability cluster.
Notes
TODO
Pipeline parallelism is currently failing with$(IA)^3$ . To replicate the issue:
pipe-parallel-size : 2 , model-parallel-size : 1, ia3_tuning: True. Note:num_gpusnot set. 👎pipe-parallel-size : 2 , model-parallel-size : 1, ia3_tuning: False. Note:num_gpusnot set. 👍