bdlb/diabetic_retinopathy_diagnosis/benchmark.py
def _prepare(levels=None) -> None:
    """Generates the TFRecord objects for medium and realworld experiments."""
    import multiprocessing
    from absl import logging
    from .tfds_adapter import DiabeticRetinopathyDiagnosis
    # Hangle each level individually
    for level in levels or ["medium", "realworld"]:
      dtask = DiabeticRetinopathyDiagnosis(data_dir=DATA_DIR, config=level)
      logging.debug("=== Preparing TFRecords for {} ===".format(level))
      dtask.download_and_prepare()
Generates the TFRecord objects for medium and realworld experiments.
Generates the TFRecord objects for medium and realworld experiments.
Generates the TFRecord objects for medium and realworld experiments .
def _prepare(levels=None) -> None:
    import multiprocessing
    from absl import logging
    from .tfds_adapter import DiabeticRetinopathyDiagnosis
    for level in levels or ["medium", "realworld"]:
      dtask = DiabeticRetinopathyDiagnosis(data_dir=DATA_DIR, config=level)
      logging.debug("=== Preparing TFRecords for {} ===".format(level))
      dtask.download_and_prepare()
def _prepare ( levels = None ) -> None : import multiprocessing from absl import logging from . tfds_adapter import DiabeticRetinopathyDiagnosis for level in levels or [ "medium" , "realworld" ] : dtask = DiabeticRetinopathyDiagnosis ( data_dir = DATA_DIR , config = level ) logging . debug ( "=== Preparing TFRecords for {} ===" . format ( level ) ) dtask . download_and_prepare ( )
Generates the TFRecord objects for medium and realworld experiments.
Generates the TFRecord objects for medium and realworld experiments .
"""Generates the TFRecord objects for medium and realworld experiments.""" # Hangle each level individually
levels