我不确定有什么问题。我检查了这个link并试图解决这个错误,但它仍然存在。我正在尝试读取csv数据,然后预测列的结果。没有额外的库,只需准备tensorflow来获得更好的理解。有任何想法吗?我想用我自己的csv数据使用TensorFlow,但看到一个无害的“Enqueue操作取消”警告
编辑:
代码:
import tensorflow as tf
filename_queue = tf.train.string_input_producer(["keystrokes-strsep.csv"])
reader = tf.TextLineReader()
key, value = reader.read(filename_queue)
# Default values, in case of empty columns. Also specifies the type of the
# decoded result.
record_defaults = [[''], [''], [''], [''], ['']]
col1, col2, col3, col4, col5 = tf.decode_csv(value, record_defaults=record_defaults)
# print tf.shape(col1)
init = tf.initialize_all_variables()
features = tf.pack([col1, col2, col3, col4])
with tf.Session() as sess:
sess.run(init)
# Start populating the filename queue.
coord = tf.train.Coordinator()
threads = tf.train.start_queue_runners(coord=coord)
for i in range(114729):
# Retrieve a single instance:
example, label = sess.run([features, col5])
coord.request_stop()
coord.join(threads)
错误:
W tensorflow/core/common_runtime/executor.cc:1102] 0x7fe343d3fa40 Compute status: Cancelled: Enqueue operation was cancelled
[[Node: input_producer/input_producer_EnqueueMany = QueueEnqueueMany[Tcomponents=[DT_STRING], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](input_producer, input_producer/RandomShuffle)]]
I tensorflow/core/kernels/queue_base.cc:286] Skipping cancelled enqueue attempt
哦,好吧谢谢!我想我会尝试使用numpy代替然后,因为这种方法不能读取很多csv条目 – Sticky
实际上这种方法比numpy更具可扩展性,因为它可以使用多个线程来读取数据 –
由Google完成=确实更具可扩展性:P除了我需要它的工作xD 你建议我为解决队列容量问题做什么?我刚刚开始了解TensorFlow及其库文件 – Sticky