模拟投掷两个骰子 10 次。
创建一个骰子模拟，在模拟中生成一个 10x3 二维张量，其中：
列 1 和 2 均存储一个骰子的一次投掷值。
列 3 存储同一行中列 1 和 2 的值的总和。
with tf.Graph().as_default(), tf.Session() as sess:
# Task 2: Simulate 10 throws of two dice. Store the results
# in a 10x3 matrix.
# We're going to place dice throws inside two separate
# 10x1 matrices. We could have placed dice throws inside
# a single 10x2 matrix, but adding different columns of
# the same matrix is tricky. We also could have placed
# dice throws inside two 1-D tensors (vectors); doing so
# would require transposing the result.
# 返回10*1的矩阵，产生于1和7之间，产生的值是均匀分布的
dice1 = tf.Variable(tf.random_uniform([10, 1],minval=1, maxval=7,dtype=tf.int32))
dice2 = tf.Variable(tf.random_uniform([10, 1],minval=1, maxval=7,dtype=tf.int32))
# We may add dice1 and dice2 since they share the same shape
# and size.
dice_sum = tf.add(dice1, dice2)
# We've got three separate 10x1 matrices. To produce a single
# 10x3 matrix, we'll concatenate them along dimension 1.
# 矩阵连接
resulting_matrix = tf.concat(values=[dice1, dice2, dice_sum], axis=1)
# The variables haven't been initialized within the graph yet,
# so let's remedy that.
sess.run(tf.global_variables_initializer())
print(resulting_matrix.eval())
