lstm_crf.py 文件源码

def read_csv(batch_size,file_name):
    filename_queue = tf.train.string_input_producer([file_name])
    reader = tf.TextLineReader(skip_header_lines=0)
    key,value = reader.read(filename_queue)

    decoded =  tf.decode_csv(value,field_delim=' ',
                             record_defaults=[[0] for i in range(nlp_segment.flags.max_sentence_len*2)])
    return tf.train.shuffle_batch(decoded,
                                  batch_size=batch_size,
                                  capacity=batch_size*50,
                                  min_after_dequeue=batch_size)