fix issue gh-2264

Author: vtavana

.github/workflows/array-api-skips.txt

@@ -50,8 +50,5 @@ array_api_tests/test_signatures.py::test_func_signature[var]
 array_api_tests/test_linalg.py::test_vecdot
 array_api_tests/test_linalg.py::test_linalg_vecdot
 
-# tuple index out of range
-array_api_tests/test_linalg.py::test_linalg_matmul
-
 # arrays have different values
 array_api_tests/test_linalg.py::test_linalg_tensordot

dpnp/backend/cmake/Modules/IntelSYCLConfig.cmake

@@ -1,5 +1,5 @@
 #
-# Modifications, Copyright (C) 2023-2025 Intel Corporation
+# Modifications, Copyright (c) 2023-2025 Intel Corporation
 #
 # This software and the related documents are Intel copyrighted materials, and
 # your use of them is governed by the express license under which they were

dpnp/backend/cmake/Modules/oneDPLConfig.cmake

@@ -1,6 +1,6 @@
 ##===----------------------------------------------------------------------===##
 #
-# Copyright (C) Intel Corporation
+# Copyright (c) Intel Corporation
 #
 # SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
 #

dpnp/dpnp_utils/dpnp_utils_linearalgebra.py

@@ -835,7 +835,14 @@ def dpnp_matmul(
     elif x1_base_is_1D and x2_base_is_1D:
         # TODO: implement a batch version of dot to use it here
         call_flag = "gemm_batch"
-        res_shape = result_shape
+        if x1_ndim == 1:
+            x1 = dpnp.reshape(x1, (1, 1, x1.size))
+            res_shape = result_shape[:-1] + (1, result_shape[-1])
+        elif x2_ndim == 1:
+            x2 = dpnp.reshape(x2, (1, x2.size, 1))
+            res_shape = result_shape + (1,)
+        else:
+            res_shape = result_shape
     elif x1_is_1D and x2_is_2D:
         transpose = True
         call_flag = "gemv"

dpnp/tests/test_mathematical.py

@@ -2718,6 +2718,9 @@ def setup_method(self):
             ((3, 3, 1), (3, 1, 2)),
             ((3, 3, 1), (1, 1, 2)),
             ((1, 3, 1), (3, 1, 2)),
+            ((4,), (3, 4, 1)),
+            ((3, 1, 4), (4,)),
+            ((3, 1, 4), (3, 4, 1)),
             ((4, 1, 3, 1), (1, 3, 1, 2)),
             ((1, 3, 3, 1), (4, 1, 1, 2)),
         ],