以下是输出

/home/tonyng/tensorflow/bin/python3.6 /home/tonyng/PycharmProjects/mnist_testdemo/mnist/convolutional.py

WARNING:tensorflow:From /home/tonyng/PycharmProjects/mnist_testdemo/mnist/convolutional.py:6: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.

Instructions for updating:

Please use alternatives such as official/mnist/dataset.py from tensorflow/models.

Extracting MNIST_data/train-images-idx3-ubyte.gz

WARNING:tensorflow:From /home/tonyng/tensorflow/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.

Instructions for updating:

Please write your own downloading logic.

WARNING:tensorflow:From /home/tonyng/tensorflow/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.

Instructions for updating:

Please use tf.data to implement this functionality.

Extracting MNIST_data/train-labels-idx1-ubyte.gz

WARNING:tensorflow:From /home/tonyng/tensorflow/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.

Instructions for updating:

Please use tf.data to implement this functionality.

WARNING:tensorflow:From /home/tonyng/tensorflow/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:110: dense_to_one_hot (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.

Instructions for updating:

Please use tf.one_hot on tensors.

Extracting MNIST_data/t10k-images-idx3-ubyte.gz

Extracting MNIST_data/t10k-labels-idx1-ubyte.gz

WARNING:tensorflow:From /home/tonyng/tensorflow/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.

Instructions for updating:

Please use alternatives such as official/mnist/dataset.py from tensorflow/models.

2018-06-08 21:30:39.110823: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA

2018-06-08 21:30:39.161129: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero

2018-06-08 21:30:39.161530: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1356] Found device 0 with properties: 

name: GeForce GTX 960M major: 5 minor: 0 memoryClockRate(GHz): 1.176

pciBusID: 0000:02:00.0

totalMemory: 3.95GiB freeMemory: 3.46GiB

2018-06-08 21:30:39.161545: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1435] Adding visible gpu devices: 0

2018-06-08 21:30:39.733274: I tensorflow/core/common_runtime/gpu/gpu_device.cc:923] Device interconnect StreamExecutor with strength 1 edge matrix:

2018-06-08 21:30:39.733300: I tensorflow/core/common_runtime/gpu/gpu_device.cc:929]      0 

2018-06-08 21:30:39.733307: I tensorflow/core/common_runtime/gpu/gpu_device.cc:942] 0:   N 

2018-06-08 21:30:39.733436: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1053] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3192 MB memory) -> physical GPU (device: 0, name: GeForce GTX 960M, pci bus id: 0000:02:00.0, compute capability: 5.0)

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2018-06-08 21:34:47.008690: W tensorflow/core/common_runtime/bfc_allocator.cc:219] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.59GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.

2018-06-08 21:34:47.008746: W tensorflow/core/common_runtime/bfc_allocator.cc:219] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.32GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.

2018-06-08 21:34:47.792218: W tensorflow/core/common_runtime/bfc_allocator.cc:219] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.42GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.

0.1721

Saved /home/tonyng/PycharmProjects/mnist_testdemo/mnist/data/convolutional.ckpt