geluPlugin

Table Of Contents

• Description
  • Structure
• Parameters
• Additional resources
• License
• Changelog
• Known issues

Description

NOTE: geluPlugin is deprecated since TensorRT 9.0. Its functionality has been superseded by IActivationLayer + IElementWiseLayer.

This plugin applies the Gelu activation x * Phi(x), where Phi is the Gaussian cdf, approximated by: 0.5 * (1 + tanh(sqrt(2 / M_PI) * (x + 0.044715 * x^3))). Optionally adds a bias vector before the activation.

Structure

The geluPlugin takes one input; input.

input input is a tensor with shape [S, B, E] where B is the batch size.

The geluPlugin generates the following output:

output output is a tensor with shape [S, B, E] where B is the batch size.

Parameters

geluPlugin has plugin creator class GeluPluginDynamicCreator and plugin class CustomGeluPluginDynamic.

The parameters are defined below and consists of the following attributes:

Type	Parameter	Description
int	type_id	Integer encoding the DataType (0: FP32, 1: FP16)
Weights	bias	Optional bias parameter. Shape [1, 1, E]

Additional resources

• GELU

License

For terms and conditions for use, reproduction, and distribution, see the TensorRT Software License Agreement documentation.

Changelog

June 2023 Add deprecation note.

November 2019 This is the first release of this README.md file.

Known issues

This plugin only supports GPUs with compute capability >= 7.0. For more information see the CUDA GPU Compute Capability Support Matrix