python - Read TF Record file takes very long -

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trying go through tensorflow tutorial here; build tf record file ~100 images, , when try following, kernel hangs; why happening? tf record file not large 30mb+ or so, shouldn't take long read them in:

import tensorflow tf import os  print(os.path.exists("../carmakesorter/train-00000-of-00001"))  filenameq = tf.train.string_input_producer(["../carmakesorter/train-00000-of-00001"],num_epochs=none)  # object read records recordreader = tf.tfrecordreader()  # read full set of features single example  key, fullexample = recordreader.read(filenameq)  # parse full example its' component features. features = tf.parse_single_example(     fullexample,     features={         'image/height': tf.fixedlenfeature([], tf.int64),         'image/width': tf.fixedlenfeature([], tf.int64),         'image/colorspace': tf.fixedlenfeature([], dtype=tf.string,default_value=''),         'image/channels':  tf.fixedlenfeature([], tf.int64),                     'image/class/label': tf.fixedlenfeature([],tf.int64),         'image/class/text': tf.fixedlenfeature([], dtype=tf.string,default_value=''),         'image/format': tf.fixedlenfeature([], dtype=tf.string,default_value=''),         'image/filename': tf.fixedlenfeature([], dtype=tf.string,default_value=''),         'image/encoded': tf.fixedlenfeature([], dtype=tf.string, default_value='')     })  label = features['image/class/label'] tf.session() sess:     print('start ...')     print(sess.run(label))               # want check label here     print('end ...')

it prints:

true start ...

my notebook kernel hangs 10 minutes , don't see there ending. can point out doing wrong?

you forget run queue runners 'tf.train.start_queue_runners(sess)'


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