torch_chain_matmul: Chain_matmul

In torch: Tensors and Neural Networks with 'GPU' Acceleration

Chain_matmul

Description

Chain_matmul

Usage

torch_chain_matmul(matrices)

Arguments

matrices

(Tensors...) a sequence of 2 or more 2-D tensors whose product is to be determined.

TEST

Returns the matrix product of the N 2-D tensors. This product is efficiently computed using the matrix chain order algorithm which selects the order in which incurs the lowest cost in terms of arithmetic operations (⁠[CLRS]⁠_). Note that since this is a function to compute the product, N needs to be greater than or equal to 2; if equal to 2 then a trivial matrix-matrix product is returned. If N is 1, then this is a no-op - the original matrix is returned as is.

Examples

if (torch_is_installed()) {

a = torch_randn(c(3, 4))
b = torch_randn(c(4, 5))
c = torch_randn(c(5, 6))
d = torch_randn(c(6, 7))
torch_chain_matmul(list(a, b, c, d))
}

torch documentation built on June 7, 2023, 6:19 p.m.