erf

paddle.fluid.layers.erf(x)[源代码]

逐元素计算 Erf 激活函数。更多细节请参考 Error function

\[out = \frac{2}{\sqrt{\pi}} \int_{0}^{x}e^{- \eta^{2}}d\eta\]
参数:
  • x (Variable) - Erf Op 的输入,多维 Tensor 或 LoDTensor,数据类型为 float16, float32 或 float64。
返回:
  • 多维 Tensor 或 LoDTensor, 数据类型为 float16, float32 或 float64, 和输入 x 的数据类型相同,形状和输入 x 相同。
返回类型:
  • Variable

代码示例

# declarative mode
import numpy as np
from paddle import fluid

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

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([[ 0.4643714 , -1.1509596 ,  1.2538221 ],
#        [ 0.34369683,  0.27478245,  1.1805398 ]], dtype=float32)
y_np
# array([[ 0.48863927, -0.8964121 ,  0.9237998 ],
#        [ 0.37307587,  0.30242872,  0.9049887 ]], dtype=float32)
# imperative mode
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.erf(x)
    y_np = y.numpy()
data
# array([[ 0.4643714 , -1.1509596 ,  1.2538221 ],
#        [ 0.34369683,  0.27478245,  1.1805398 ]], dtype=float32)
y_np
# array([[ 0.48863927, -0.8964121 ,  0.9237998 ],
#        [ 0.37307587,  0.30242872,  0.9049887 ]], dtype=float32)