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Flax from_pretrained: clean up mismatched_keys. #630

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Merged
pcuenca merged 1 commit into from
Sep 29, 2022
Merged

Flax from_pretrained: clean up mismatched_keys. #630

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18 changes: 1 addition & 17 deletions src/diffusers/modeling_flax_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -436,9 +436,6 @@ def from_pretrained(
)
cls._missing_keys = missing_keys

# Mismatched keys contains tuples key/shape1/shape2 of weights in the checkpoint that have a shape not
# matching the weights in the model.
mismatched_keys = []
for key in state.keys():
if key in shape_state and state[key].shape != shape_state[key].shape:
raise ValueError(
Expand Down Expand Up @@ -466,26 +463,13 @@ def from_pretrained(
f" {pretrained_model_name_or_path} and are newly initialized: {missing_keys}\nYou should probably"
" TRAIN this model on a down-stream task to be able to use it for predictions and inference."
)
elif len(mismatched_keys) == 0:
else:
logger.info(
f"All the weights of {model.__class__.__name__} were initialized from the model checkpoint at"
f" {pretrained_model_name_or_path}.\nIf your task is similar to the task the model of the checkpoint"
f" was trained on, you can already use {model.__class__.__name__} for predictions without further"
" training."
)
if len(mismatched_keys) > 0:
mismatched_warning = "\n".join(
[
f"- {key}: found shape {shape1} in the checkpoint and {shape2} in the model instantiated"
for key, shape1, shape2 in mismatched_keys
]
)
logger.warning(
f"Some weights of {model.__class__.__name__} were not initialized from the model checkpoint at"
f" {pretrained_model_name_or_path} and are newly initialized because the shapes did not"
f" match:\n{mismatched_warning}\nYou should probably TRAIN this model on a down-stream task to be able"
" to use it for predictions and inference."
)

# dictionary of key: dtypes for the model params
param_dtypes = jax.tree_map(lambda x: x.dtype, state)
Expand Down