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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_tensor
#>  17.0106  32.9847   1.5826  24.3815 -27.2576   0.0537  -6.8825
#>  -8.6194 -37.3777  -1.1913 -21.9035  25.0044   4.0352   9.0169
#>  15.3567  16.6693   0.0887  16.5853 -18.0312   2.1256  -0.6758
#> [ CPUFloatType{3,7} ]