tf.nn.pool()使用例子：

在tensorflow中對一維訊號進行池化操作時使用，輸入資料的維度為三維[batch , in_width, in_channels]。

原文連結： https://www.dotnetperls.com/pool-tensorflow

import tensorflow as tf

temp = [0., 0., 1., 0., 0., 0., 1.5, 2.5]

# Reshape the tensor to be 3 dimensions.
values = tf.reshape(temp, [1, 8, 1])


# Use an averaging pool on the tensor.
 

p_avg = tf.nn.pool(input=values,
    window_shape=[2],
    pooling_type="AVG",
    padding="SAME")

# Use max with this pool.
p_max = tf.nn.pool(input=values,
    window_shape=[2],
    pooling_type="MAX",
    padding="SAME")

session = tf.Session()

# Print our tensors.
print("VALUES")
print(session.run(values))
print("POOL"
 
)
print(session.run(p_avg))
print("POOL MAX")
print(session.run(p_max))

VALUES
[[[ 0. ]
  [ 0. ]
  [ 1. ]
  [ 0. ]
  [ 0. ]
  [ 0. ]
  [ 1.5]
  [ 2.5]]]
POOL
[[[ 0.  ]
  [ 0.5 ]
  [ 0.5 ]
  [ 0.  ]
  [ 0.  ]
  [ 0.75]
  [ 2.  ]
  [ 2.5 ]]]
POOL MAX
[[[ 0. ]
  [ 1. ]
  [ 1. ]
  [ 0. ]
  [ 0. ]
  [ 1.5]
  [ 2.5]
  [ 2.5]]]