Question

我的。 CSV 文件包含的数据如下所示...... 1 0 0 0 0 0 0 0 0 0 0 0

我正在尝试通过以下代码阅读此.CSV文件

filename = "alpha_test.csv"
#setup text reader
file_length = file_len(filename)
filename_queue = tf.train.string_input_producer([filename])
reader = tf.TextLineReader(skip_header_lines=0)
_, csv_row = reader.read(filename_queue)

#setuo text reader
listoflists = []
a_list = []
for i in range(0,49):
        listoflists.append((list([0])))


record_defaults =listoflists


data = tf.decode_csv(csv_row,record_defaults=record_defaults,field_delim='\t')
#turn features back into a tensor
features = tf.pack(data)

print("loading "+ str(features)+ "line(s)\n")

with tf.Session() as sess:
    tf.initialize_all_variables().run()

    #start populating filename queue
    coord = tf.train.Coordinator()
    threads = tf.train.start_queue_runners()

    for i in range(file_length):
        example = sess.run([features])
        print(example)


    coord.request_stop()
    coord.join()
    print("\ndone loading")

但它给出了以下错误

ERROR:tensorflow:Exception in QueueRunner: Attempted to use a closed Session.
Traceback (most recent call last):......


tensorflow.python.framework.errors.InvalidArgumentError: Field 0 in record 0 is not a valid int32: 1   0
     [[Node: DecodeCSV = DecodeCSV[OUT_TYPE=[DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32, DT_INT32], field_delim="\t", _device="/job:localhost/replica:0/task:0/cpu:0"](ReaderRead:1, DecodeCSV/record_defaults_0, DecodeCSV/record_defaults_1, DecodeCSV/record_defaults_2, DecodeCSV/record_defaults_3, DecodeCSV/record_defaults_4, DecodeCSV/record_defaults_5, DecodeCSV/record_defaults_6, DecodeCSV/record_defaults_7, DecodeCSV/record_defaults_8, DecodeCSV/record_defaults_9, DecodeCSV/record_defaults_10, DecodeCSV/record_defaults_11, DecodeCSV/record_defaults_12, DecodeCSV/record_defaults_13, DecodeCSV/record_defaults_14, DecodeCSV/record_defaults_15, DecodeCSV/record_defaults_16, DecodeCSV/record_defaults_17, DecodeCSV/record_defaults_18, DecodeCSV/record_defaults_19, DecodeCSV/record_defaults_20, DecodeCSV/record_defaults_21, DecodeCSV/record_defaults_22, DecodeCSV/record_defaults_23, DecodeCSV/record_defaults_24, DecodeCSV/record_defaults_25, DecodeCSV/record_defaults_26, DecodeCSV/record_defaults_27, DecodeCSV/record_defaults_28, DecodeCSV/record_defaults_29, DecodeCSV/record_defaults_30, DecodeCSV/record_defaults_31, DecodeCSV/record_defaults_32, DecodeCSV/record_defaults_33, DecodeCSV/record_defaults_34, DecodeCSV/record_defaults_35, DecodeCSV/record_defaults_36, DecodeCSV/record_defaults_37, DecodeCSV/record_defaults_38, DecodeCSV/record_defaults_39, DecodeCSV/record_defaults_40, DecodeCSV/record_defaults_41, DecodeCSV/record_defaults_42, DecodeCSV/record_defaults_43, DecodeCSV/record_defaults_44, DecodeCSV/record_defaults_45, DecodeCSV/record_defaults_46, DecodeCSV/record_defaults_47, DecodeCSV/record_defaults_48)]]
Caused by op u'DecodeCSV', defined at:

我已经使用以下数据进行了测试

1   0   0   0   0
0   0   1   1   1
1   0   0   0   0
0   0   1   1   1

但它给出了同样的错误

ERROR:tensorflow:Exception in QueueRunner: Attempted to use a closed Session.

Answer 1

您看到问题的最可能原因是文件第一行中的1和0实际上是由3个空格分隔，而不是制表符。请注意field_delim在\t调用中decode_csv如何正确设置为1 0，但其似乎读取的值为save()。这正是如果1和0被三个空格分开会发生的情况，而下一个0则用一个标签分开。

确保文件不包含空格，并且所有分隔符实际上都是tabsl

tensorflow.python.framework.errors.InvalidArgumentError：记录0中的字段0不是有效的int32：1 0

1 个答案: