Edit

DML_REDUCE_FUNCTION enumeration (directml.h)

  • Article

Defines constants that specify the specific reduction algorithm to use for the DirectML reduce operator (as described by the DML_REDUCE_OPERATOR_DESC structure).

Syntax

typedef enum DML_REDUCE_FUNCTION {
  DML_REDUCE_FUNCTION_ARGMAX,
  DML_REDUCE_FUNCTION_ARGMIN,
  DML_REDUCE_FUNCTION_AVERAGE,
  DML_REDUCE_FUNCTION_L1,
  DML_REDUCE_FUNCTION_L2,
  DML_REDUCE_FUNCTION_LOG_SUM,
  DML_REDUCE_FUNCTION_LOG_SUM_EXP,
  DML_REDUCE_FUNCTION_MAX,
  DML_REDUCE_FUNCTION_MIN,
  DML_REDUCE_FUNCTION_MULTIPLY,
  DML_REDUCE_FUNCTION_SUM,
  DML_REDUCE_FUNCTION_SUM_SQUARE
} ;

Constants

 
DML_REDUCE_FUNCTION_ARGMAX
Indicates a reduction function that computes the indices of the max elements of the input tensor's elements along the specified axis, int32 {i j k ..} = maxindex(X Y Z …).
DML_REDUCE_FUNCTION_ARGMIN
Indicates a reduction function that computes the indices of the min elements of the input tensor's elements along the specified axis, int32 {i j k ..} = minindex(X Y Z …).
DML_REDUCE_FUNCTION_AVERAGE
Indicates a reduction function that computes the mean of the input tensor's elements along the specified axes, x = (x1 + x2 + ... + xn) / n.
DML_REDUCE_FUNCTION_L1
Indicates a reduction function that computes the L1 norm of the input tensor's elements along the specified axes, x = |x1| + |x2| + ... + |xn|.
DML_REDUCE_FUNCTION_L2
Indicates a reduction function that computes the L2 norm of the input tensor's elements along the specified axes, x = sqrt(x1^2 + x2^2 + ... + xn^2).
DML_REDUCE_FUNCTION_LOG_SUM
Indicates a reduction function that computes the log sum of the input tensor's elements along the specified axes, x = log(x1 + x2 + ... + xn).
DML_REDUCE_FUNCTION_LOG_SUM_EXP
Indicates a reduction function that computes the log sum exponent of the input tensor's elements along the specified axes, x = log(exp(x1) + exp(x2) + ... + exp(xn)).
DML_REDUCE_FUNCTION_MAX
Indicates a reduction function that computes the max of the input tensor's elements along the specified axes, x = max(max(max(x1, x2), x3), ..., xn).
DML_REDUCE_FUNCTION_MIN
Indicates a reduction function that computes the min of the input tensor's elements along the specified axes, x = min(min(min(x1, x2), x3), ..., xn).
DML_REDUCE_FUNCTION_MULTIPLY
Indicates a reduction function that computes the product of the input tensor's elements along the specified axes, x = (x1 * x2 * ... * xn).
DML_REDUCE_FUNCTION_SUM
Indicates a reduction function that computes the sum of the input tensor's elements along the specified axes, x = (x1 + x2 + ... + xn).
DML_REDUCE_FUNCTION_SUM_SQUARE
Indicates a reduction function that computes the sum square of the input tensor's elements along the specified axes, x = x1^2 + x2^2 + ... + xn^2.

Requirements

Requirement Value
Header directml.h

See also