triton-cpu

stack-info: PR: #1037, branch: oulgen/stack/163

Author: oulgen

.github/matrix.json

@@ -71,6 +71,16 @@
       "container-options": "--device=/dev/kfd --device=/dev/dri",
       "pytorch-version": "pytorch-nightly",
       "alias": "mi325x"
+    },
+    {
+      "runner": "linux.g5.4xlarge.nvidia.gpu",
+      "python-version": "3.12",
+      "ref-eager": false,
+      "image": "nvidia/cuda:12.8.1-devel-ubuntu24.04",
+      "runtime-version": "cpu",
+      "container-options": "--gpus all",
+      "pytorch-version": "pytorch-nightly",
+      "alias": "cpu"
     }
   ]
 }

.github/workflows/test.yml

@@ -97,7 +97,7 @@ jobs:
           fi
 
       - name: Install Triton
-        if: steps.cache.outputs.cache-hit != 'true' && matrix.pytorch-version != 'pytorch-2.9'
+        if: steps.cache.outputs.cache-hit != 'true' && (matrix.pytorch-version != 'pytorch-2.9' || contains(matrix.alias, 'cpu'))
         run: |
           set -x
           source .venv/bin/activate
@@ -110,7 +110,14 @@ jobs:
           cd /tmp/$USER
           uv pip uninstall triton pytorch-triton || true
           rm -rf triton/ || true
-          git clone https://github.com/triton-lang/triton.git
+          if [[ "${{ matrix.alias }}" == *cpu* ]]; then
+            REPO_URL="https://github.com/triton-lang/triton-cpu.git"
+            REPO_BRANCH="main-merged"
+          else
+            REPO_URL="https://github.com/triton-lang/triton.git"
+            REPO_BRANCH="main"
+          fi
+          git clone -b "$REPO_BRANCH" "$REPO_URL" triton
           cd triton/
           uv pip install -r python/requirements.txt
           MAX_JOBS=$(nproc) TRITON_PARALLEL_LINK_JOBS=2 uv pip install .

helion/_testing.py

@@ -34,17 +34,32 @@
     from .runtime.kernel import Kernel
 
 
-DEVICE = torch.device("xpu") if torch.xpu.is_available() else torch.device("cuda")
-PROJECT_ROOT: Path = Path(__file__).parent.parent
-EXAMPLES_DIR: Path = PROJECT_ROOT / "examples"
+def _get_triton_backend() -> str | None:
+    try:
+        return triton.runtime.driver.active.get_current_target().backend  # pyright: ignore[reportAttributeAccessIssue,reportOptionalMemberAccess]
+    except Exception:
+        return None
+
+
+def is_cpu() -> bool:
+    """Return True if running on Triton CPU backend."""
+    return _get_triton_backend() == "cpu"
 
 
 def is_cuda() -> bool:
     """Return True if running on CUDA (NVIDIA GPU)."""
-    return (
-        triton.runtime.driver.active.get_current_target().backend == "cuda"  # pyright: ignore[reportAttributeAccessIssue,reportOptionalMemberAccess]
-        and DEVICE.type == "cuda"
-    )
+    return _get_triton_backend() == "cuda" and torch.cuda.is_available()
+
+
+PROJECT_ROOT: Path = Path(__file__).parent.parent
+EXAMPLES_DIR: Path = PROJECT_ROOT / "examples"
+
+if is_cpu():
+    DEVICE = torch.device("cpu")
+elif torch.xpu.is_available():
+    DEVICE = torch.device("xpu")
+else:
+    DEVICE = torch.device("cuda")
 
 
 def get_nvidia_gpu_model() -> str: