speech_input.py 文件源码

def _get_labels_feed_item(label_list, max_time):
    """
    Generate the tensor from 'label_list' to feed as labels into the network

    Args:
      label_list: a list of encoded labels (ints)
      max_time: the maximum time length of `label_list`

    Returns: the SparseTensorValue to feed into the network

    """

    label_shape = np.array([len(label_list), max_time], dtype=np.int)
    label_indices = []
    label_values = []
    for labelIdx, label in enumerate(label_list):
      for idIdx, identifier in enumerate(label):
        label_indices.append([labelIdx, idIdx])
        label_values.append(identifier)
    label_indices = np.array(label_indices, dtype=np.int)
    label_values = np.array(label_values, dtype=np.int)
    return tf.SparseTensorValue(label_indices, label_values, label_shape)