TensorFlow????

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1. tf.concat: ??????????

concat????????????????????????????????

2. tf.stack: ???????

tf.stack????????????????????????????

3. tf.unstack: ?????

unstack?????????????????????????????????????

4. tf.split: ???????

split????????????????????????????

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1. tf.norm: ????

?????????????????

2. tf.reduce_max/min/mean/sum: ?????????????

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3. tf.argmax/argmin: ????????????

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4. tf.equal: ????

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5. tf.unique: ????????

??????????

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1. tf.sort/tf.argsort: ?????

sort??????????argsort???????????

2. tf.math.top_k: ???????k?

?????k???????????

???????

1. tf.pad: ????

pad???????????????????????????

2. tf.tile: ????

?????????????????

???????

1. tf.clip_by_value: ???????

???????????????

2. tf.clip_by_norm: ????????

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3. tf.nn.relu: ReLU????

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4. tf.clip_by_global_norm: ??????

?????????????????

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1. tf.where: ??????

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2. tf.scatter_nd: ????????

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3. tf.meshgrid: ?????

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??

1. tf.meshgrid ??

import tensorflow as tf
import matplotlib.pyplot as plt
def fun(x):
    z = tf.math.sin(x[...,0]) + tf.math.sin(x[...,1])
    return z
x = tf.linspace(0., 2*3.14, 500)
y = tf.linspace(0., 2*3.14, 500)
point_x, point_y = tf.meshgrid(x, y)
points = tf.stack([point_x, point_y], axis=2)
print(points.shape)
z = fun(points)
plt.figure('plot 2d func value')
plt.imshow(z, origin='lower', interpolation='none')
plt.colorbar()
plt.figure('plot 2d func contour')
plt.contour(point_x, point_y, z)
plt.colorbar()
plt.show()