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from typing import List
import numpy as np
def collate_outputs(outputs: List[dict]):
"""
used to collate default train_step and validation_step outputs. If you want something different then you gotta
extend this
we expect outputs to be a list of dictionaries where each of the dict has the same set of keys
"""
collated = {}
for k in outputs[0].keys():
if np.isscalar(outputs[0][k]):
collated[k] = [o[k] for o in outputs]
elif isinstance(outputs[0][k], np.ndarray):
collated[k] = np.vstack([o[k][None] for o in outputs])
elif isinstance(outputs[0][k], list):
collated[k] = [item for o in outputs for item in o[k]]
else:
raise ValueError(f'Cannot collate input of type {type(outputs[0][k])}. '
f'Modify collate_outputs to add this functionality')
return collated |