DML_ACTIVATION_HARDMAX_OPERATOR_DESC structure (directml.h)

Performs a hardmax function on each element of InputTensor, placing the result into the corresponding element of OutputTensor.

The operator computes the hardmax (1 for the first occurrence of the largest value in the layer, and 0 for all other values) of each row in the given input.

Syntax

struct DML_ACTIVATION_HARDMAX_OPERATOR_DESC {
  const DML_TENSOR_DESC *InputTensor;
  const DML_TENSOR_DESC *OutputTensor;
};

Members

InputTensor

Type: const DML_TENSOR_DESC*

The tensor to read from for the input. This tensor must have an effective rank no greater than 2. The effective rank of a tensor is the DimensionCount of the tensor, excluding leftmost dimensions of size 1. For example a tensor size of { 1, 1, BatchCount, Width } is valid, and is equivalent to a tensor of sizes { BatchCount, Width }.

OutputTensor

Type: const DML_TENSOR_DESC*

The output tensor to write the results to.

Remarks

The operator computes the hardmax (1 for the first maximum value, and 0 for all others) values for each layer in the batch of the given input. The input is a 2-D tensor (Tensor) of size (batch_size x input_feature_dimensions). The output tensor has the same shape and contains the hardmax values of the corresponding input.

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_2_0 and above

DML_FEATURE_LEVEL_1_0 and above

Requirements

See also

DML_ARGMAX_OPERATOR_DESC structure