Add custom prepare_for_training
logic to ECD model for LLM encoder adapter initialization
#3874
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
The LLM model type initializes the adapter weights and quantization at training time using
LLM.prepare_for_training
. WhenLLMEncoder
was added, ECD model did not have a correspondingprepare_for_training
method, so adapter initialization occurred at encoder initialization. This PR addsECD.prepare_for_training
, which bringsLLMEncoder
adapter initialization to parity with LLM models.