f55217e5fee88bc38e58e62e886f79e561c4d069,texar/losses/losses_utils.py,,reduce_batch_time,#Any#Any#Any#Any#Any#Any#,110

Before Change

        sequence = sequence / tf.to_float(sequence_length)
    if reduce_batch:
        sequence = tf.reduce_sum(sequence, axis=[0])
    if average_across_batch:
        sequence = sequence / tf.to_float(tf.shape(sequence_length)[0])
    return sequence


def reduce_dimensions(tensor, average_axes=None, sum_axes=None, keepdims=None):

After Change

        sequence = tf.reduce_sum(sequence, axis=[1])
    elif average_across_timesteps:
        if sequence_length is None:
            sequence = tf.reduce_mean(sequence, axis=[1])
        else:
            sequence = tf.reduce_sum(sequence, axis=[1])
            if average_across_timesteps:
                sequence = sequence / tf.to_float(sequence_length)

    if sum_over_batch:
        sequence = tf.reduce_sum(sequence, axis=[0])
    elif average_across_batch:
        sequence = tf.reduce_mean(sequence, axis=[0])

    return sequence

Instances