DML_ACTIVATION_THRESHOLDED_RELU_OPERATOR_DESC structure (directml.h)
Performs a thresholded rectified linear unit (ReLU) activation function on every element in InputTensor, placing the result into the corresponding element of OutputTensor.
f(x) = x, if x > Alpha
0, otherwise
This operator supports in-place execution, meaning that the output tensor is permitted to alias InputTensor during binding.
Syntax
struct DML_ACTIVATION_THRESHOLDED_RELU_OPERATOR_DESC {
const DML_TENSOR_DESC *InputTensor;
const DML_TENSOR_DESC *OutputTensor;
FLOAT Alpha;
};
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.
Alpha
Type: FLOAT
The threshold for the function. A typical default for this value is 1.0.
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 |