1.3 KiB
1.3 KiB
GELU- Gaussian Error Linear Unit
Versioned name: Gelu-2
Category: Activation
Short description: Reference
Detailed description: Reference
Attributes: Gelu operation has no attributes.
Mathematical Formulation Gelu(x)=x*Φ(x), where Φ(x) is the Cumulative Distribution Function for Gaussian Distribution. The following equivalent combination is recognized and fused into single Gelu op:
\f[ Gelu(x) = 0.5x(1.0 + erf((x) / \sqrt{2}) \f]
Similarly, the following Gelu approximation (typical for the TensorFlow*) is recognized and fused into single Gelu op
\f[ Gelu(x) \approx 0.5x(1.0 + tanh(\sqrt{2.0/pi} * (x + 0.044715 * x ^ 3)) \f]
Inputs:
- 1: Multidimensional input tensor. Required.
Outputs:
- 1: Floating point tensor with shape and type matching the input tensor.
Example
<layer ... type="Gelu">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
</port>
</input>
<output>
<port id="1">
<dim>1</dim>
<dim>128</dim>
</port>
</output>
</layer>