base_wmt_infer.gin

from __gin__ import dynamic_registration
import tasks

import __main__ as infer_script
from t5.data import mixtures
from t5x import partitioning
from t5x import utils

include "t5x/examples/t5/mt5/base.gin"
include "t5x/configs/runs/infer.gin"

DROPOUT_RATE = 0.0  # unused but needs to be specified
MIXTURE_OR_TASK_NAME = "sentencefix"
TASK_FEATURE_LENGTHS = {"inputs": 256, "targets": 256}

infer_script.infer:
  partitioner = @partitioning.ModelBasedPjitPartitioner()

partitioning.ModelBasedPjitPartitioner.num_partitions = 1

utils.DatasetConfig:
  split = "test"
  batch_size = 32