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[seqio/feature_converters]: Better support multi-ranked features in the feature-converter library. #64

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[seqio/feature_converters]: Better support multi-ranked features in the feature-converter library. #64

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5 changes: 3 additions & 2 deletions mt3/models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@

"""Feature converter and model for continuous inputs."""

from typing import Mapping
from typing import Mapping, Sequence, Union
import seqio
from t5x import decoding
from t5x import models
Expand Down Expand Up @@ -98,7 +98,8 @@ def convert_example(
convert_example, num_parallel_calls=tf.data.experimental.AUTOTUNE)

def get_model_feature_lengths(
self, task_feature_lengths: Mapping[str, int]) -> Mapping[str, int]:
self, task_feature_lengths: Mapping[str, Union[int, Sequence[int]]]
) -> Mapping[str, Union[int, Sequence[int]]]:
"""Define the length relationship between input and output features."""
encoder_length = task_feature_lengths["inputs"]
decoder_length = task_feature_lengths["targets"]
Expand Down