Beispiel #1
0
def convert_checkpoint(bert_config, output_path, v1_checkpoint):
    """Converts a V1 checkpoint into an OO V2 checkpoint."""
    output_dir, _ = os.path.split(output_path)

    # Create a temporary V1 name-converted checkpoint in the output directory.
    temporary_checkpoint_dir = os.path.join(output_dir, "temp_v1")
    temporary_checkpoint = os.path.join(temporary_checkpoint_dir, "ckpt")
    tf1_checkpoint_converter_lib.convert(
        checkpoint_from_path=v1_checkpoint,
        checkpoint_to_path=temporary_checkpoint,
        num_heads=bert_config.num_attention_heads,
        name_replacements=tf1_checkpoint_converter_lib.
        BERT_V2_NAME_REPLACEMENTS,
        permutations=tf1_checkpoint_converter_lib.BERT_V2_PERMUTATIONS,
        exclude_patterns=["adam", "Adam"])

    # Create a V2 checkpoint from the temporary checkpoint.
    model = _create_bert_model(bert_config)
    tf1_checkpoint_converter_lib.create_v2_checkpoint(model,
                                                      temporary_checkpoint,
                                                      output_path)

    # Clean up the temporary checkpoint, if it exists.
    try:
        tf.io.gfile.rmtree(temporary_checkpoint_dir)
    except tf.errors.OpError:
        # If it doesn't exist, we don't need to clean it up; continue.
        pass
Beispiel #2
0
>>>>>>> a811a3b7e640722318ad868c99feddf3f3063e36

  # Create a temporary V1 name-converted checkpoint in the output directory.
  temporary_checkpoint_dir = os.path.join(output_dir, "temp_v1")
  temporary_checkpoint = os.path.join(temporary_checkpoint_dir, "ckpt")
  tf1_checkpoint_converter_lib.convert(
      checkpoint_from_path=v1_checkpoint,
      checkpoint_to_path=temporary_checkpoint,
      num_heads=bert_config.num_attention_heads,
      name_replacements=tf1_checkpoint_converter_lib.BERT_V2_NAME_REPLACEMENTS,
      permutations=tf1_checkpoint_converter_lib.BERT_V2_PERMUTATIONS,
      exclude_patterns=["adam", "Adam"])

  # Create a V2 checkpoint from the temporary checkpoint.
  model = _create_bert_model(bert_config)
  tf1_checkpoint_converter_lib.create_v2_checkpoint(model, temporary_checkpoint,
                                                    output_path)

  # Clean up the temporary checkpoint, if it exists.
  try:
    tf.io.gfile.rmtree(temporary_checkpoint_dir)
  except tf.errors.OpError:
    # If it doesn't exist, we don't need to clean it up; continue.
    pass


def main(_):
  output_path = FLAGS.converted_checkpoint_path
  v1_checkpoint = FLAGS.checkpoint_to_convert
  bert_config = configs.BertConfig.from_json_file(FLAGS.bert_config_file)
  convert_checkpoint(bert_config, output_path, v1_checkpoint)