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set min seq len by default #621

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Jan 18, 2025
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Original file line number Diff line number Diff line change
Expand Up @@ -65,8 +65,8 @@ def __init__(
valid_cluster_path: A path to the parquet files containing UniRef50 validation clusters.
valid_database_path: A path to the sqlite file mapping UniRef50 cluster IDs to sequences.
seed: Input random seed. If None, initializes randomly. Defaults to 42.
min_seq_length: Whether to pad sequences to a minimum length. If None, no extra padding is added. Defaults
to None.
min_seq_length: Whether to pad sequences to a minimum length. If None, sequences are padded to the maximum
sequence length. Defaults to None.
max_seq_length: The maximum context length for the ESM transformer. Defaults to 1024.
micro_batch_size: Passed to MegatronDataSampler. Defaults to 4.
global_batch_size: Passed to MegatronDataSampler.. Defaults to 8.
Expand All @@ -87,7 +87,7 @@ def __init__(
self._valid_cluster_path = valid_cluster_path
self._valid_database_path = valid_database_path
self._seed = seed
self._min_seq_length = min_seq_length
self._min_seq_length = min_seq_length if min_seq_length is not None else max_seq_length
self._max_seq_length = max_seq_length
self._mask_prob = mask_prob
self._mask_token_prob = mask_token_prob
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Original file line number Diff line number Diff line change
Expand Up @@ -39,6 +39,21 @@ def test_create_esm_datamodule_raises_without_trainer(dummy_protein_dataset, dum
data_module.setup()


def test_esm_datamodule_sets_min_seq_len_to_max_seq_len(dummy_protein_dataset, dummy_parquet_train_val_inputs):
train_cluster_path, valid_cluster_path = dummy_parquet_train_val_inputs

# Initialize the data module.
data_module = ESMDataModule(
train_cluster_path=train_cluster_path,
train_database_path=dummy_protein_dataset,
valid_cluster_path=valid_cluster_path,
valid_database_path=dummy_protein_dataset,
max_seq_length=36,
)

assert data_module._min_seq_length == 36


def test_create_esm_datamodule_raises_without_trainer_max_steps(dummy_protein_dataset, dummy_parquet_train_val_inputs):
train_cluster_path, valid_cluster_path = dummy_parquet_train_val_inputs

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