Tensorflow one_hot

indices = [0, 1, 2]
depth = 3
tf.one_hot(indices, depth)  # output: [3 x 3]
# [[1., 0., 0.],
#  [0., 1., 0.],
#  [0., 0., 1.]]

indices = [0, 2, -1, 1]
depth = 3
tf.one_hot(indices, depth,
           on_value=5.0, off_value=0.0,
           axis=-1)  # output: [4 x 3]
# [[5.0, 0.0, 0.0],  # one_hot(0)
#  [0.0, 0.0, 5.0],  # one_hot(2)
#  [0.0, 0.0, 0.0],  # one_hot(-1)
#  [0.0, 5.0, 0.0]]  # one_hot(1)

indices = [[0, 2], [1, -1]]
depth = 3
out_=tf.one_hot(indices, depth,
           on_value=1.0, off_value=0.0,
           axis=-1)  # output: [2 x 2 x 3]
# [[[1.0, 0.0, 0.0],   # one_hot(0)
#   [0.0, 0.0, 1.0]],  # one_hot(2)
#  [[0.0, 1.0, 0.0],   # one_hot(1)
#   [0.0, 0.0, 0.0]]]  # one_hot(-1)