Question

我是Tensorflow的新手adn正在尝试阅读图片和标签。下面的代码工作正常但每次完成它都会产生一个巨大的错误。

import tensorflow as tf
import numpy as np
import os
from tensorflow.python.framework import ops
from tensorflow.python.framework import dtypes

class DataSet():
    def __init__(self, path, info_train, info_test):
    self.image_path = path
    self.info_train = info_train
    self.info_test = info_test

def read_labeled_info(self):
    folder = self.image_path + "/"
    f = open(folder + self.info_train,"r")
    lines = f.readlines()
    fileNames = []
    landmarks = []
    attributes = []
    for line in lines:
        line = line.strip("\n ").split(" ")
        if line == [""]:
            break
        fileNames.append(folder + line[0].replace("\\", "/"))
        coords = []
        for i in range(1,6):
            coords.append([float(line[i]),float(line[i+5])])
        attributes.append([int(line[i]) for i in range(11,15)])
        landmarks.append([coords])
    return fileNames, landmarks, attributes

def get_input_que(self):
    image_list, landmark_list, attribute_list = self.read_labeled_info()
    images_tensor = ops.convert_to_tensor(image_list, dtype=dtypes.string)
    landmark_tensor = ops.convert_to_tensor(landmark_list, dtype=dtypes.float32)
    attribute_tensor = ops.convert_to_tensor(attribute_list, dtype=dtypes.int32)
    inputQue = tf.train.slice_input_producer([images_tensor, landmark_tensor, attribute_tensor])
    return inputQue

def read_images_from_disk(self):
    input_que = self.get_input_que()
    landmarks = input_que[1]
    attributes = input_que[2]
    file_contents = tf.read_file(input_que[0])
    images = tf.image.decode_jpeg(file_contents, channels=3)
    return images, landmarks, attributes

我用以下方法测试：

init_op = tf.global_variables_initializer()
with tf.Session() as sess:
    sess.run(init_op)

coord = tf.train.Coordinator()
threads = tf.train.start_queue_runners(sess=sess, coord=coord)
data = DataSet("some_location", "training.txt", "testing.txt")
images, landmarks, attributes = data.read_images_from_disk()
tf.train.start_queue_runners()

image = images.eval()
print(image.shape)

coord.request_stop()
coord.join(threads)
sess.close()

我可以访问图像，但程序完成后会产生错误：

    ERROR:tensorflow:Exception in QueueRunner: Enqueue operation was cancelled
     [[Node: input_producer/input_producer/input_producer_EnqueueMany = QueueEnqueueManyV2[Tcomponents=[DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](input_producer/input_producer, input_producer/input_producer/RandomShuffle)]]

Caused by op 'input_producer/input_producer/input_producer_EnqueueMany', defined at:
  File "<string>", line 1, in <module>
  File "/usr/lib/python3.5/idlelib/run.py", line 124, in main
    ret = method(*args, **kwargs)
  File "/usr/lib/python3.5/idlelib/run.py", line 351, in runcode
    exec(code, self.locals)
  File "/home/joar/Documents/deep_learning/Deep-learning-MTFL/code/test3.py", line 58, in <module>
    images, landmarks, attributes = data.read_images_from_disk()
  File "/home/joar/Documents/deep_learning/Deep-learning-MTFL/code/test3.py", line 41, in read_images_from_disk
    input_que = self.get_input_que()
  File "/home/joar/Documents/deep_learning/Deep-learning-MTFL/code/test3.py", line 37, in get_input_que
    inputQue = tf.train.slice_input_producer([images_tensor, landmark_tensor, attribute_tensor])
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/training/input.py", line 307, in slice_input_producer
    shared_name=shared_name)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/training/input.py", line 264, in range_input_producer
    shared_name, "fraction_of_%d_full" % capacity, name)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/training/input.py", line 164, in input_producer
    enq = q.enqueue_many([input_tensor])
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/ops/data_flow_ops.py", line 367, in enqueue_many
    self._queue_ref, vals, name=scope)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/ops/gen_data_flow_ops.py", line 1556, in _queue_enqueue_many_v2
    name=name)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 768, in apply_op
    op_def=op_def)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 2336, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1228, in __init__
    self._traceback = _extract_stack()

CancelledError (see above for traceback): Enqueue operation was cancelled
     [[Node: input_producer/input_producer/input_producer_EnqueueMany = QueueEnqueueManyV2[Tcomponents=[DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](input_producer/input_producer, input_producer/input_producer/RandomShuffle)]]
>>> 
Exception in thread Thread-1:
Traceback (most recent call last):
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1039, in _do_call
    return fn(*args)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1021, in _run_fn
    status, run_metadata)
  File "/usr/lib/python3.5/contextlib.py", line 66, in __exit__
    next(self.gen)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status
    pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.CancelledError: Enqueue operation was cancelled
     [[Node: input_producer/input_producer/input_producer_EnqueueMany = QueueEnqueueManyV2[Tcomponents=[DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](input_producer/input_producer, input_producer/input_producer/RandomShuffle)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/lib/python3.5/threading.py", line 914, in _bootstrap_inner
    self.run()
  File "/usr/lib/python3.5/threading.py", line 862, in run
    self._target(*self._args, **self._kwargs)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/training/queue_runner_impl.py", line 234, in _run
    sess.run(enqueue_op)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 778, in run
    run_metadata_ptr)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 982, in _run
    feed_dict_string, options, run_metadata)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1032, in _do_run
    target_list, options, run_metadata)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1052, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.CancelledError: Enqueue operation was cancelled
     [[Node: input_producer/input_producer/input_producer_EnqueueMany = QueueEnqueueManyV2[Tcomponents=[DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](input_producer/input_producer, input_producer/input_producer/RandomShuffle)]]

Caused by op 'input_producer/input_producer/input_producer_EnqueueMany', defined at:
  File "<string>", line 1, in <module>
  File "/usr/lib/python3.5/idlelib/run.py", line 124, in main
    ret = method(*args, **kwargs)
  File "/usr/lib/python3.5/idlelib/run.py", line 351, in runcode
    exec(code, self.locals)
  File "/home/joar/Documents/deep_learning/Deep-learning-MTFL/code/test3.py", line 58, in <module>
    images, landmarks, attributes = data.read_images_from_disk()
  File "/home/joar/Documents/deep_learning/Deep-learning-MTFL/code/test3.py", line 41, in read_images_from_disk
    input_que = self.get_input_que()
  File "/home/joar/Documents/deep_learning/Deep-learning-MTFL/code/test3.py", line 37, in get_input_que
    inputQue = tf.train.slice_input_producer([images_tensor, landmark_tensor, attribute_tensor])
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/training/input.py", line 307, in slice_input_producer
    shared_name=shared_name)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/training/input.py", line 264, in range_input_producer
    shared_name, "fraction_of_%d_full" % capacity, name)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/training/input.py", line 164, in input_producer
    enq = q.enqueue_many([input_tensor])
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/ops/data_flow_ops.py", line 367, in enqueue_many
    self._queue_ref, vals, name=scope)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/ops/gen_data_flow_ops.py", line 1556, in _queue_enqueue_many_v2
    name=name)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 768, in apply_op
    op_def=op_def)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 2336, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "/home/joar/.local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1228, in __init__
    self._traceback = _extract_stack()

CancelledError (see above for traceback): Enqueue operation was cancelled
     [[Node: input_producer/input_producer/input_producer_EnqueueMany = QueueEnqueueManyV2[Tcomponents=[DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](input_producer/input_producer, input_producer/input_producer/RandomShuffle)]]

我不会坚持这一点，所以任何帮助都会非常适合

Answer 1

我通过更新

解决了这个问题

tf.train.start_queue_runners()

到

tf.train.start_queue_runners(coord=coord)

Answer 2

仅供参考，ListBox API已被弃用，并由tf.data取代。

QueueRunner中的Tensorflow异常：取消了排队操作

2 个答案: