src/audio2vec_train.py
def add_loss_summary(total_loss):
    """Add summaries for losses in seq2seq model.

    Generates moving average for all losses and associated summaries for 
    visualizing the performance of the network.

    Args:
      total_loss: Total loss from loss().
    Returns:
      loss_avarages_op: op fo generating moving averages of losses.
    """
    # Compute the moving average of all indiidual losses and the total loss.
    loss_averages = tf.train.ExponentialMovingAverage(0.9, name='avg')
    losses = tf.get_collection('losses')

    return
Add summaries for losses in seq2seq model.

    Generates moving average for all losses and associated summaries for 
    visualizing the performance of the network.

    Args:
      total_loss: Total loss from loss().
    Returns:
      loss_avarages_op: op fo generating moving averages of losses.
    
Add summaries for losses in seq2seq model.
Generates moving average for all losses and associated summaries for
visualizing the performance of the network.
Add summaries for losses in seq2seq model . Generates moving average for all losses and associated summaries for visualizing the performance of the network .
def add_loss_summary(total_loss):
    loss_averages = tf.train.ExponentialMovingAverage(0.9, name='avg')
    losses = tf.get_collection('losses')
    return
def add_loss_summary ( total_loss ) : loss_averages = tf . train . ExponentialMovingAverage ( 0.9 , name = 'avg' ) losses = tf . get_collection ( 'losses' ) return
Add summaries for losses in seq2seq model.
Add summaries for losses in seq2seq model .
"""Add summaries for losses in seq2seq model.

    Generates moving average for all losses and associated summaries for 
    visualizing the performance of the network.

    Args:
      total_loss: Total loss from loss().
    Returns:
      loss_avarages_op: op fo generating moving averages of losses.
    """ # Compute the moving average of all indiidual losses and the total loss.
op fo generating moving averages of losses.
op fo generating moving averages of losses .
loss_avarages_op
total_loss
Total loss from loss().
Total loss from loss () .