supervised_train.py 文件源码

def construct_placeholders(num_classes):
    # Define placeholders
    placeholders = {
        'labels' : tf.placeholder(tf.float32, shape=(None, num_classes), name='labels'),
        'batch' : tf.placeholder(tf.int32, shape=(None), name='batch1'),
        'dropout': tf.placeholder_with_default(0., shape=(), name='dropout'),
        'batch_size' : tf.placeholder(tf.int32, name='batch_size'),
    }
    return placeholders