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 。
- 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)