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Performs the gaussian error linear unit (GELU) activation function on every element in InputTensor, placing the result into the corresponding element of OutputTensor.
f(x) = 0.5 * x * (1.0 + erf(x / sqrt(2)))
Where erf(x) is DML_ELEMENT_WISE_ERF_OPERATOR_DESC.
Important
This API is available as part of the DirectML standalone redistributable package (see Microsoft.AI.DirectML version 1.9 and later. Also see DirectML version history.
Syntax
struct DML_ACTIVATION_GELU_OPERATOR_DESC
{
const DML_TENSOR_DESC* InputTensor;
const DML_TENSOR_DESC* OutputTensor;
};
Members
InputTensor
Type: const DML_TENSOR_DESC*
The input tensor to read from.
OutputTensor
Type: const DML_TENSOR_DESC*
The output tensor to write the results to.
Availability
This operator was introduced in DML_FEATURE_LEVEL_5_1.
Tensor constraints
InputTensor and OutputTensor must have the same DataType, DimensionCount, and Sizes.
Tensor support
| Tensor | Kind | Supported dimension counts | Supported data types |
|---|---|---|---|
| InputTensor | Input | 1 to 8 | FLOAT32, FLOAT16 |
| OutputTensor | Output | 1 to 8 | FLOAT32, FLOAT16 |
Requirements
| Header | directml.h |