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UID title description helpviewer_keywords old-location tech.root ms.assetid ms.date req.header req.include-header req.target-type req.target-min-winverclnt req.target-min-winversvr req.kmdf-ver req.umdf-ver req.ddi-compliance req.unicode-ansi req.idl req.max-support req.namespace req.assembly req.type-library req.lib req.dll req.irql targetos req.typenames req.redist ms.custom f1_keywords dev_langs topic_type api_type api_location api_name
NS:directml.DML_ELEMENT_WISE_POW_OPERATOR_DESC
DML_ELEMENT_WISE_POW_OPERATOR_DESC
Computes each element of *InputTensor* raised to the power of the corresponding element of *ExponentTensor*, placing the result into the corresponding element of *OutputTensor*.
DML_ELEMENT_WISE_POW_OPERATOR_DESC
DML_ELEMENT_WISE_POW_OPERATOR_DESC structure
direct3d12.dml_element_wise_pow_operator_desc
directml/DML_ELEMENT_WISE_POW_OPERATOR_DESC
direct3d12\dml_element_wise_pow_operator_desc.htm
directml
72AF58C4-F651-4439-8963-FA64D75A63C3
10/30/2020
directml.h
Windows
Windows
19H1
DML_ELEMENT_WISE_POW_OPERATOR_DESC
directml/DML_ELEMENT_WISE_POW_OPERATOR_DESC
c++
APIRef
kbSyntax
HeaderDef
DirectML.h
DML_ELEMENT_WISE_POW_OPERATOR_DESC

-description

Computes each element of InputTensor raised to the power of the corresponding element of ExponentTensor, placing the result into the corresponding element of OutputTensor.

f(input, exponent) = pow(input, exponent)

Negative bases are supported for exponents with integral values (though datatype can still be float), otherwise this operator returns NaN.

When the input tensor and exponent tensor both have integral data type, this operator guarantees exact results.

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

-struct-fields

-field InputTensor

Type: const DML_TENSOR_DESC*

The tensor containing the input values.

-field ExponentTensor

Type: const DML_TENSOR_DESC*

The tensor containing the exponent values.

-field OutputTensor

Type: const DML_TENSOR_DESC*

The output tensor to write the results to.

-field 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.

-remarks

Until DML_FEATURE_LEVEL_3_0, ExponentTensor must match the type of InputTensor.

See DML_ELEMENT_WISE_CONSTANT_POW_OPERATOR_DESC for a POW operator that accepts a FLOAT constant for the exponent.

Availability

This operator was introduced in DML_FEATURE_LEVEL_1_0.

Tensor constraints

  • ExponentTensor, InputTensor, and OutputTensor must have the same DimensionCount and Sizes.
  • InputTensor and OutputTensor must have the same DataType.

Tensor support

DML_FEATURE_LEVEL_3_0 and above

Tensor Kind Supported dimension counts Supported data types
InputTensor Input 1 to 8 FLOAT32, FLOAT16, INT32, INT16, INT8, UINT32, UINT16, UINT8
ExponentTensor Input 1 to 8 FLOAT32, FLOAT16, INT32, INT16, INT8, UINT32, UINT16, UINT8
OutputTensor Output 1 to 8 FLOAT32, FLOAT16, INT32, INT16, INT8, UINT32, UINT16, UINT8

DML_FEATURE_LEVEL_1_0 and above

Tensor Kind Supported dimension counts Supported data types
InputTensor Input 4 FLOAT32, FLOAT16
ExponentTensor Input 4 FLOAT32, FLOAT16
OutputTensor Output 4 FLOAT32, FLOAT16

-see-also

DML_ELEMENT_WISE_CONSTANT_POW_OPERATOR_DESC