DML_ELEMENT_WISE_CONSTANT_POW_OPERATOR_DESC structure (directml.h)

Raises each element of InputTensor to the power of Exponent, placing the result into the corresponding element of OutputTensor.

f(x) = pow(x, Exponent)

Negative bases are supported for integral exponents, otherwise this operator returns NaN.

This operator supports in-place execution, meaning that OutputTensor is permitted to alias InputTensor during binding.

Syntax

struct DML_ELEMENT_WISE_CONSTANT_POW_OPERATOR_DESC {
  const DML_TENSOR_DESC *InputTensor;
  const DML_TENSOR_DESC *OutputTensor;
  const DML_SCALE_BIAS  *ScaleBias;
  FLOAT                 Exponent;
};

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.

ScaleBias

Type: _Maybenull_ const DML_SCALE_BIAS*

An optional scale and bias to apply to the input. If present, this has the effect of applying the function g(x) = x * scale + bias to each input element prior to computing this operator.

Exponent

Type: FLOAT

The exponent that all inputs will be raised to.

Remarks

Also see the POW operator DML_ELEMENT_WISE_POW_OPERATOR_DESC, which accepts a second tensor as exponents.

Requirements

See also

DML_ELEMENT_WISE_POW_OPERATOR_DESC

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

DML_FEATURE_LEVEL_1_0 and above