>>> import tensorflow as tf
>>> sess = tf.InteractiveSession()
can‘t determine number of CPU cores: assuming 4
I tensorflow/core/common_runtime/local_device.cc:25] Local device intra op parallelism threads: 4
can‘t determine number of CPU cores: assuming 4
I tensorflow/core/common_runtime/local_session.cc:45] Local session inter op parallelism threads: 4
>>> x = tf.Variable([1.0, 2.0])
>>> a = tf.constant([3.0, 3.0])
>>> x.initializer.run()    # initializer初始化了变量x 初始化了的x可以直接用run()而不需要用sess.run()来运行
>>> sub = tf.sub(x, a)    # tf里的矩阵减法函数是sub(),其实写成x-a没错
>>> print(sub.eval())    # sub.eval()相当于sess.run(sub)
[-2. -1.]
>>> sess.close()