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import numpy as np | |
# --- PL-DATAMODULE --- | |
def get_local_split(items: list, world_size: int, rank: int, seed: int): | |
"""The local rank only loads a split of the dataset.""" | |
n_items = len(items) | |
items_permute = np.random.RandomState(seed).permutation(items) | |
if n_items % world_size == 0: | |
padded_items = items_permute | |
else: | |
padding = np.random.RandomState(seed).choice( | |
items, world_size - (n_items % world_size), replace=True | |
) | |
padded_items = np.concatenate([items_permute, padding]) | |
assert ( | |
len(padded_items) % world_size == 0 | |
), f"len(padded_items): {len(padded_items)}; world_size: {world_size}; len(padding): {len(padding)}" | |
n_per_rank = len(padded_items) // world_size | |
local_items = padded_items[n_per_rank * rank : n_per_rank * (rank + 1)] | |
return local_items | |