# 静态图使用
import numpy as np
from paddle import fluid

x = fluid.data(name="x", shape=(-1, 3), dtype="float32")
y = fluid.layers.thresholded_relu(x, threshold=0.1)

place = fluid.CPUPlace()
exe = fluid.Executor(place)

start = fluid.default_startup_program()
main = fluid.default_main_program()
data = np.random.randn(2, 3).astype("float32")
exe.run(start)
y_np, = exe.run(main, feed={"x": data}, fetch_list=[y])

data
# array([[ 0.21134382, -1.1805999 ,  0.32876605],
#        [-1.2210793 , -0.7365624 ,  1.0013918 ]], dtype=float32)
y_np
# array([[ 0.21134382, -0.        ,  0.32876605],
#        [-0.        , -0.        ,  1.0013918 ]], dtype=float32)

# 动态图使用
import numpy as np
from paddle import fluid
import paddle.fluid.dygraph as dg

data = np.random.randn(2, 3).astype("float32")
place = fluid.CPUPlace()
with dg.guard(place) as g:
    x = dg.to_variable(data)
    y = fluid.layers.thresholded_relu(x, threshold=0.1)
    y_np = y.numpy()
data
# array([[ 0.21134382, -1.1805999 ,  0.32876605],
#        [-1.2210793 , -0.7365624 ,  1.0013918 ]], dtype=float32)
y_np
# array([[ 0.21134382, -0.        ,  0.32876605],
#        [-0.        , -0.        ,  1.0013918 ]], dtype=float32)