e9524b70faad78477ca9ac924097edd2e0a2a01a,luminoth/eval.py,,evaluate,#Any#Any#Any#Any#Any#Any#Any#Any#,25

Before Change

        // TODO: Change parameter to `from_global_step`.
        // We only want to filter on the first iteration.
        if last_global_step is not None and not all_checkpoints:
            checkpoints = [checkpoints[-1]] if checkpoints else []

        for checkpoint in checkpoints:
            // Always returned in order, so it"s safe to assign directly.
            tf.logging.info(

After Change

        override_config = parse_override(override_params)
        config = merge_into(override_config, config)

    if config.train.debug or config.train.tf_debug:
        tf.logging.set_verbosity(tf.logging.DEBUG)
    else:
        tf.logging.set_verbosity(tf.logging.INFO)

    // Build the dataset tensors, overriding the default dataset split.
    config.dataset.split = dataset_split

    // Only a single run over the dataset to calculate metrics.
    config.train.num_epochs = 1

Instances