[Issue record] TensorFlow Test Mnist failed __tensorflow

After the first two TensorFlow test Mnist sample articles uploaded, csdn swallowed my diagram and tested it again when the following problems occurred

[test@dl1 mnist]$ python mnist_test_begin.py I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA Library libcublas.so.8.0 locally I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA Library Libcudnn.so.5 locally I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcufft.so.8.0 Locally I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA Library libcuda.so.1 locally I TENSORFLOW/STREAM_EXECUTOR/DSO_LOADER.CC:135] successfully opened CUDA Library libcurand.so.8.0 locally filepath: Mnist_data/train-images-idx3-ubyte.gz extracting mnist_data/train-images-idx3-ubyte.gz filepath:MNIST_data/ Train-labels-idx1-ubyte.gz extracting mnist_data/train-labels-idx1-ubyte.gz filepath:mnist_data/ T10k-images-idx3-ubyte.gz extracting mnist_data/t10k-images-idx3-ubyte.gz filepath:mnist_data/ t10k-labels-idx1-ubyte.gz extracting mnist_data/t10k-labels-idx1-ubyte.gz WARNING:tensorflow:From mnist_test_ Begin.py:23:initiAlize_all_variables (from Tensorflow.python.ops.variables) is deprecated and would be removed after 2017-03-02.
Instructions for Updating:use ' Tf.global_variables_initializer ' instead. W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn ' t compiled to use SSE3 instructions, but t
Hese are available on your machine and could the up CPU speed. W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn ' t compiled to use SSE4.1 instructions, BU
T these are available on your machine and could the up CPU speed. W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn ' t compiled to use SSE4.2 instructions, BU
T these are available on your machine and could the up CPU speed. W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn ' t compiled to use AVX instructions, but th
ESE are available on your machine and could the up CPU speed. W Tensorflow/core/platform/cpu_featuRE_GUARD.CC:45] The TensorFlow library wasn ' t compiled to use AVX2 instructions, but this are available on your machine a
nd could speed up CPU computations. W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn ' t compiled to use FMA instructions, but th
 ESE are available on your machine and could the up CPU speed.

After the test, it was jammed when you started the conversation.

Sess = tf. Session ()

At present do not know how to solve ...

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Three hours to run, WTF?