Matrix multiply, dot product, BLAS

Functions
template<typename ty >
ty	dot (const array &x, const array &y)
	Scalar dot product between two vectors.
enum	matopts { All_Defaults = 0, A_transpose = 1, B_transpose = 2 }
	Multiply two arrays together. More...
array	matmul (const array &, const array &, matopts=All_Defaults)
array	matmul (const array &, const array &, const array &)
	Multiply three arrays together.
array	matmul (const array &, const array &, const array &, const array &)
	Multiply four arrays together.

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Enumeration Type Documentation

enum matopts

Multiply two arrays together.

matrix multiply

   array a,b;
   array c = matmul(a,b); //c = a x b
   array d = matmul(a,b,A_transpose); // d = a' x b
   array e = matmul(a,b,B_transpose); // e = a  x b'
   array f = matmul(a,b,A_transpose | B_transpose); // f = (b x a)'

Enumerator:

All_Defaults
A_transpose
B_transpose

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Function Documentation

array dot	(	const array &	x,
		const array &	y
	)

Scalar dot product between two vectors.

Also referred to as the inner product.

    // compute scalar dot product
    array x = randu(100), y = randu(100);
    printf("dot(x,y) = %g\n", dot<float>(x,y));

Parameters:

[in]	x
[in]	y

Returns:

scalar dot product

See also:

matmul()

array af::matmul	(	const array &	,
		const array &	,
		matopts	= All_Defaults
	)

Examples:

examples/benchmarks/blas.cpp, examples/getting_started/convolve.cpp, examples/getting_started/gfor.cpp, examples/getting_started/lin_algebra.cpp, examples/machine_learning/neuralnetwork.cpp, examples/machine_learning/pca.cpp, and examples/multi_gpu/gemv.cpp.

array af::matmul	(	const array &	,
		const array &	,
		const array &
	)

Multiply three arrays together.

   array a,b,c;
   array d = matmul(a,b,c); //d = a x b x c

array af::matmul	(	const array &	,
		const array &	,
		const array &	,
		const array &
	)

Multiply four arrays together.

   array a,b,c,d;
   array e = matmul(a,b,c,d); //e = a x b x c x d