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[seqio/feature_converers]: Better support multi-ranked features in th…
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…e feature-converter library.

PiperOrigin-RevId: 461897686
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liviosoares authored and Magenta Team committed Jul 19, 2022
1 parent bdb3b3c commit dc14727
Showing 1 changed file with 3 additions and 2 deletions.
5 changes: 3 additions & 2 deletions mt3/models.py
Original file line number Diff line number Diff line change
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"""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
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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"]
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