masked_select

paddle.fluid.layers.masked_select(input, mask)

该OP将根据mask Tensor的真值选取输入Tensor元素，并返回一个一维Tensor

参数

  • input （Variable）- 输入Tensor，数据类型为int32, float32, float64。
  • mask （Variable）- mask Tensor， 数据类型为bool。

返回

根据mask选择后的tensor

返回类型

Variable

代码示例

import paddle.fluid as fluid
import numpy as np
mask_shape = [4,1]
shape = [4,4]
data = np.random.random(mask_shape).astype("float32")
input_data = np.random.randint(5,size=shape).astype("float32")
mask_data = data > 0.5

# print(input_data)
# [[0.38972723 0.36218056 0.7892614  0.50122297]
#  [0.14408113 0.85540855 0.30984417 0.7577004 ]
#  [0.97263193 0.5248062  0.07655851 0.75549215]
#  [0.26214206 0.32359877 0.6314582  0.2128865 ]]

# print(mask_data)
# [[ True]
#  [ True]
#  [False]
#  [ True]]

input = fluid.data(name="input",shape=[4,4],dtype="float32")
mask = fluid.data(name="mask",shape=[4,1],dtype="bool")
result = fluid.layers.masked_select(input=input, mask=mask)
place = fluid.CPUPlace()
exe = fluid.Executor(place)
start = fluid.default_startup_program()
main = fluid.default_main_program()
exe.run(start)
masked_select_result= exe.run(main, feed={'input':input_data, 'mask':mask_data}, fetch_list=[result])
# print(masked_select_result)
# [0.38972723 0.36218056 0.7892614  0.50122297 0.14408113 0.85540855
#   0.30984417 0.7577004  0.26214206 0.32359877 0.6314582  0.2128865 ]