add pytest support for tutorial gemm (#2826)

* add pytest support for tutorial gemm

* add license

test/utils/device_info.py

@@ -0,0 +1,59 @@
+# Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: BSD-3-Clause
+
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are met:
+
+# 1. Redistributions of source code must retain the above copyright notice, this
+# list of conditions and the following disclaimer.
+
+# 2. Redistributions in binary form must reproduce the above copyright notice,
+# this list of conditions and the following disclaimer in the documentation
+# and/or other materials provided with the distribution.
+
+# 3. Neither the name of the copyright holder nor the names of its
+# contributors may be used to endorse or promote products derived from
+# this software without specific prior written permission.
+
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+def _get_device_compute_capability():
+    try:
+        import cuda.bindings.driver as drv
+        from cuda.bindings.driver import CUdevice_attribute as dev_attr
+
+        def drv_api(api_name, *args):
+            ret_code, *result = getattr(drv, api_name)(*args)
+            if ret_code:
+                raise ValueError(f"CUDA error: {ret_code}")
+            return result[0] if len(result) == 1 else result
+
+        drv_api("cuInit", 0)
+        device = drv_api("cuDeviceGet", 0)
+        major = drv_api(
+            "cuDeviceGetAttribute",
+            dev_attr.CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR,
+            device,
+        )
+        minor = drv_api(
+            "cuDeviceGetAttribute",
+            dev_attr.CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR,
+            device,
+        )
+        return f"{major}{minor}"
+    except Exception as e:
+        print(f"Failed to get CUDA compute capability: {e}")
+        return None
+
+
+compute_capability = _get_device_compute_capability()