DML_ACTIVATION_SOFTPLUS_OPERATOR_DESC structure (directml.h)
Performs a parametric softplus activation function on every element in InputTensor, placing the result into the corresponding element of OutputTensor.
f(x) = ln(1 + exp(Steepness * x)) / Steepness
Where exp(x) is the natural exponentiation function and ln(x) is the natural logarithm.
This operator supports in-place execution, meaning that the output tensor is permitted to alias InputTensor during binding.
Syntax
struct DML_ACTIVATION_SOFTPLUS_OPERATOR_DESC {
const DML_TENSOR_DESC *InputTensor;
const DML_TENSOR_DESC *OutputTensor;
FLOAT Steepness;
};
Members
InputTensor
Type: const DML_TENSOR_DESC*
The input tensor to read from.
OutputTensor
Type: const DML_TENSOR_DESC*
The Steepness coefficient. A typical default for this value is 1.0. This value cannot be less than 1.
Steepness
Type: FLOAT
The steepness value.
Availability
This operator was introduced in DML_FEATURE_LEVEL_1_0
.
Tensor constraints
InputTensor and OutputTensor must have the same DataType, DimensionCount, and Sizes.
Tensor support
DML_FEATURE_LEVEL_3_0 and above
Tensor | Kind | Supported dimension counts | Supported data types |
---|---|---|---|
InputTensor | Input | 1 to 8 | FLOAT32, FLOAT16 |
OutputTensor | Output | 1 to 8 | FLOAT32, FLOAT16 |
DML_FEATURE_LEVEL_2_0 and above
Tensor | Kind | Supported dimension counts | Supported data types |
---|---|---|---|
InputTensor | Input | 4 to 5 | FLOAT32, FLOAT16 |
OutputTensor | Output | 4 to 5 | FLOAT32, FLOAT16 |
DML_FEATURE_LEVEL_1_0 and above
Tensor | Kind | Supported dimension counts | Supported data types |
---|---|---|---|
InputTensor | Input | 4 | FLOAT32, FLOAT16 |
OutputTensor | Output | 4 | FLOAT32, FLOAT16 |
Requirements
Requirement | Value |
---|---|
Header | directml.h |