tensorflow 运行 python convolutional.py时

本文解决TensorFlow中使用MNIST数据集时出现的CRC校验错误,提供了解决方案,包括重新下载数据集并正确存放的步骤。
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Traceback (most recent call last):
File "convolutional.py", line 326, in <module>
tf.app.run()
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv))
File "convolutional.py", line 138, in main
train_data = extract_data(train_data_filename, 60000)
File "convolutional.py", line 85, in extract_data
buf = bytestream.read(IMAGE_SIZE * IMAGE_SIZE * num_images * NUM_CHANNELS)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/gzip.py", line 268, in read
self._read(readsize)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/gzip.py", line 315, in _read
self._read_eof()
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/gzip.py", line 354, in _read_eof
hex(self.crc)))
IOError: CRC check failed 0xd87082d != 0x6f522beL

是由于数据集不完整,去官网下载 

http://yann.lecun.com/exdb/mnist/

然后复制到tensorflow minist下的data文件夹下覆盖

 

转载于:https://www.cnblogs.com/xqnq2007/p/6683958.html

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实际输出Traceback (most recent call last): File "step10/TrainSaveLoadTest.py", line 16, in <module> import TrainSaveLoadForUsers File "/data/workspace/myshixun/step10/TrainSaveLoadForUsers.py", line 65, in <module> logits = build_network(batchImgInput, label_size, keeProb, BNTraining) File "/data/workspace/myshixun/step10/TrainSaveLoadForUsers.py", line 27, in build_network net = Inception_traditional(net, 32, BNTraining, name=&#39;Inception1&#39;) File "/data/workspace/myshixun/step10/prevModules.py", line 27, in Inception_traditional activation=tf.nn.relu) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/layers/convolutional.py", line 621, in conv2d return layer.apply(inputs) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/layers/base.py", line 828, in apply return self.__call__(inputs, *args, **kwargs) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/layers/base.py", line 699, in __call__ self.build(input_shapes) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/layers/convolutional.py", line 144, in build dtype=self.dtype) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/layers/base.py", line 546, in add_variable partitioner=partitioner) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/training/checkpointable.py", line 436, in _add_variable_with_custom_getter **kwargs_for_getter) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 1317, in get_variable constraint=constraint) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 1079, in get_variable constraint=constraint) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 425, in get_variable constraint=constraint) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 394, in _true_getter use_resource=use_resource, constraint=constraint) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 721, in _get_single_variable shape = tensor_shape.as_shape(shape) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/tensor_shape.py", line 940, in as_shape return TensorShape(shape) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/tensor_shape.py", line 538, in __init__ self._dims = [as_dimension(d) for d in dims_iter] File "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/tensor_shape.py", line 538, in <listcomp> self._dims = [as_dimension(d) for d in dims_iter] File "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/tensor_shape.py", line 479, in as_dimension return Dimension(value) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/tensor_shape.py", line 37, in __init__ self._value = int(value) TypeError: int() argument must be a string, a bytes-like object or a number, not &#39;Tensor&#39;请再给出更正确的答案
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