fix 1) gpu detection in multi-gpu setup 2) oem A100 cannot be matched…

… to correct TVM target (#58)

python/bitblas/utils/target_detector.py

@@ -16,7 +16,7 @@
     "where <target> is one of the available targets can be found in the output of `tools/get_available_targets.py`."
 )
 
-def get_gpu_model_from_nvidia_smi():
+def get_gpu_model_from_nvidia_smi(gpu_id: int = 0):
     """
     Executes the 'nvidia-smi' command to fetch the name of the first available NVIDIA GPU.
 
@@ -26,7 +26,7 @@ def get_gpu_model_from_nvidia_smi():
     try:
         # Execute nvidia-smi command to get the GPU name
         output = subprocess.check_output(
-            ["nvidia-smi", "--query-gpu=gpu_name", "--format=csv,noheader"],
+            ["nvidia-smi", f"--id={gpu_id}", "--query-gpu=gpu_name", "--format=csv,noheader"],
             encoding="utf-8",
         ).strip()
     except subprocess.CalledProcessError as e:
@@ -62,7 +62,7 @@ def get_all_nvidia_targets() -> List[str]:
     return [tag for tag in all_tags if "nvidia" in tag]
 
 
-def auto_detect_nvidia_target() -> str:
+def auto_detect_nvidia_target(gpu_id: int = 0) -> str:
     """
     Automatically detects the NVIDIA GPU architecture to set the appropriate TVM target.
 
@@ -78,6 +78,13 @@ def auto_detect_nvidia_target() -> str:
     nvidia_tags = [tag for tag in all_tags if "nvidia" in tag]
 
     # Get the current GPU model and find the best matching target
-    gpu_model = get_gpu_model_from_nvidia_smi()
+    gpu_model = get_gpu_model_from_nvidia_smi(gpu_id=gpu_id)
+
+    # TODO: move to a more res-usable device remapping util method
+    # compat: Nvidia makes several oem (non-public) versions of A100 and perhaps other models that
+    # do not have clearly defined TVM matching target so we need to manually map them to the correct one.
+    if gpu_model == "NVIDIA PG506-230":
+        gpu_model = "NVIDIA A100"
+
     target = find_best_match(nvidia_tags, gpu_model) if gpu_model else "cuda"
     return target