reduce_mul_op

Structs

Struct: ReduceMul

Fields

Methods


compute_shape(mut curr: ArrayShape, args: List[ArrayShape])

Computes the shape of an array after reducing along a specific axis.

Args

curr: ArrayShape The ArrayShape to store the result of the computation.
args: List[ArrayShape] The ArrayShape to reduce, and the axis to reduce along encoded in an ArrayShape.

Constraints:

The axis must be a valid axis of the ArrayShape (args[0]).
The number of axis must not exceed the number of dimensions of the ArrayShape (args[0]).


__call__(mut curr: Array, args: List[Array])

Performs the forward pass for element-wise mulition of two arrays.

Args

curr: Array The current array to store the result (modified in-place).
args: List[Array] A list containing the input arrays.

Computes the sum of the input arrays and stores the result in the current array. Initializes the current array if not already set up.

Note: This function assumes that the shape and data of the args are already set up. If the current array (curr) is not initialized, it computes the shape based on the input array and the axis and sets up the data accordingly.


jvp(primals: List[Array], tangents: List[Array]) -> Array

more details

Args

primals: List[Array]
tangents: List[Array]

Returns

Array


vjp(primals: List[Array], grad: Array, out: Array) -> List[Array]

Computes the vector-Jacobian product for the mulition function.

Args

primals: List[Array] A list containing the primal input arrays.
grad: Array The gradient of the output with respect to some scalar function.
out: Array The output of the forward pass (unused in this function).

Returns

List[Array] - A list containing the gradient with respect to the input.

Implements reverse-mode automatic differentiation for the mulition function.

Note: The vector-Jacobian product for the mulition is computed as the gradient itself.


fwd(arg0: Array, axis: List[Int]) -> Array

Reduces the input array along the specified axis by summing the elements.

Args

arg0: Array The input array.
axis: List[Int] The axis along which to reduce the array.

Returns

Array - An array containing the sum of the input array along the specified axis.

Examples:


a = Array([[1, 2], [3, 4]])
result = reduce_mul(a, List(0))
print(result)

Note: This function supports:

Automatic differentiation (forward and reverse modes).
Complex valued arguments.

Functions

reduce_mul


reduce_mul(arg0: Array, axis: List[Int]) -> Array

Reduces the input array along the specified axis by summing the elements.

Args

arg0: Array The input array.
axis: List[Int] The axis along which to reduce the array.

Returns

Array - An array containing the sum of the input array along the specified axis.

Examples:


a = Array([[1, 2], [3, 4]])
result = reduce_mul(a, List(0))
print(result)

Note: This function supports:

Automatic differentiation (forward and reverse modes).
Complex valued arguments.