1.
WARNING:tensorflow:From F:\anaconda\envs\Tensorflow\lib\site-packages\tensorflow\python\util\tf_should_use.py:170: initialize_all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
Instructions for updating:
Use `tf.global_variables_initializer` instead.
2.
2019-01-20 17:06:19.829200: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.1\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE instructions, but these are available on your machine and could speed up CPU computations.
2019-01-20 17:06:19.830002: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.1\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE2 instructions, but these are available on your machine and could speed up CPU computations.
2019-01-20 17:06:19.830701: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.1\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
2019-01-20 17:06:19.832171: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.1\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2019-01-20 17:06:19.833453: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.1\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2019-01-20 17:06:19.834719: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.1\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2019-01-20 17:06:19.835765: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.1\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
解決方法：
安裝bazel，編譯tensorflow。
（本人在anaconda管理工具環境中
conda install bazel
得到了解決）
這個問題的原因是CPU支持更快的運算，安裝的Tensorflow中缺少對應的模塊，需要編譯安裝。
當我們使用GPU的情況下，並不需要用到CPU，所以這些warning可以忽略。
3.
TypeError: run() missing 1 required positional argument: 'fetches'
sess=tf.Session 這句需要加()
sess = tf.Session()