mindspore.ops.FastGeLU
- class mindspore.ops.FastGeLU[source]
Fast Gaussian Error Linear Units activation function.
FastGeLU is defined as follows:
\[\text{output} = \frac {x} {1 + \exp(-1.702 * \left| x \right|)} * \exp(0.851 * (x - \left| x \right|)),\]where \(x\) is the element of the input.
- Inputs:
x (Tensor) - Input to compute the FastGeLU with data type of float16 or float32.
- Outputs:
Tensor, with the same type and shape as x.
- Raises
TypeError – If dtype of x is neither float16 nor float32.
- Supported Platforms:
Ascend
Examples
>>> x = Tensor(np.array([[-1.0, 4.0, -8.0], [2.0, -5.0, 9.0]]), mindspore.float32) >>> fast_gelu = ops.FastGeLU() >>> output = fast_gelu(x) >>> print(output) [[-1.5418735e-01 3.9921875e+00 -9.7473649e-06] [ 1.9375000e+00 -1.0052517e-03 8.9824219e+00]]