Module ops

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This module provides the core operations for tensors, including filling, padding, reshaping, and tensor manipulation.

Modules§

Affine: apply an affine transformation to a tensor; affine transformation is defined as mul * self + add
DecrementAxis: The DecrementAxis trait defines a method enabling an axis to decrement itself,
IncrementAxis: The IncrementAxis trait defines a method enabling an axis to increment itself, effectively adding a new axis to the array.
Inverse: The Inverse trait generically establishes an interface for computing the inverse of a type, regardless of if its a tensor, scalar, or some other compatible type.
IsSquare: IsSquare is a trait for checking if the layout, or dimensionality, of a tensor is square.
MaskFill: This trait is used to fill an array with a value based on a mask. The mask is a boolean array of the same shape as the array.
MatMul: The MatMul trait defines an interface for matrix multiplication.
MatPow: The MatPow trait defines an interface for computing the exponentiation of a matrix.
Pad: The Pad trait defines a padding operation for tensors.
Transpose: The Transpose trait generically establishes an interface for transposing a type
Unsqueeze: The Unsqueeze trait establishes an interface for a routine that unsqueezes an array, by inserting a new axis at a specified position. This is useful for reshaping arrays to meet specific dimensional requirements.