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10 changes: 9 additions & 1 deletion arrayfire/library/linear_algebra.py
Original file line number Diff line number Diff line change
Expand Up @@ -92,6 +92,7 @@ def gemm(
rhs_opts: MatProp = MatProp.NONE,
alpha: int | float = 1.0,
beta: int | float = 0.0,
accum: Array = None
) -> Array:
"""
Performs BLAS general matrix multiplication (GEMM) on two Array instances.
Expand Down Expand Up @@ -125,6 +126,10 @@ def gemm(
beta : int | float, optional
Scalar multiplier for the existing matrix C in the accumulation. Default is 0.0.

accum: Array, optional
A 2-dimensional, real or complex array representing the matrix C in the accumulation.
Default is None (no accumulation).

Returns
-------
Array
Expand All @@ -135,7 +140,10 @@ def gemm(
- The data types of `lhs` and `rhs` must be compatible.
- Batch operations are not supported in this version.
"""
return cast(Array, wrapper.gemm(lhs.arr, rhs.arr, lhs_opts, rhs_opts, alpha, beta))
accumulator = None
if isinstance(accum, Array):
accumulator = accum.arr
return cast(Array, wrapper.gemm(lhs.arr, rhs.arr, lhs_opts, rhs_opts, alpha, beta, accumulator))


@afarray_as_array
Expand Down
4 changes: 2 additions & 2 deletions tests/test_library/test_linear_algebra.py
Original file line number Diff line number Diff line change
Expand Up @@ -65,8 +65,8 @@ def test_gemm_basic(matrix_a: af.Array, matrix_b: af.Array) -> None:
def test_gemm_alpha_beta(matrix_a: af.Array, matrix_b: af.Array) -> None:
alpha = 0.5
beta = 2.0
result = af.gemm(matrix_a, matrix_b, alpha=alpha, beta=beta)
expected = create_from_2d_nested(10.5, 12.0, 22.5, 26.0)
result = af.gemm(matrix_a, matrix_b, alpha=alpha, beta=beta, accum=matrix_a)
expected = create_from_2d_nested(11.5, 15.0, 27.5, 33.0)
assert result == expected, f"Expected {expected}, got {result}"


Expand Down