DML_ACTIVATION_LOG_SOFTMAX_OPERATOR_DESC structure (directml.h)

Performs a natural log-of-softmax activation function on each element of InputTensor, placing the result into the corresponding element of OutputTensor.

// Let x_i be the current value in the axis, and j be the total number of elements along that axis.
f(x_i) = ln(exp(x_i) / sum(exp(x_0), ..., exp(x_j)))

Where exp(x) is the natural exponentiation function, and ln(x) is the natural logarithm.

Syntax

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

Members

InputTensor

Type: const DML_TENSOR_DESC*

The input tensor to read from. 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.

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_ACTIVATION_SOFTMAX_OPERATOR_DESC structure

DML_ARGMAX_OPERATOR_DESC structure