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kernels-bot commited on Aug 27

Commit

8e600aa

verified ·

1 Parent(s): f70345e

Uploaded using `kernel-builder`.

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Files changed (4) hide show

build/torch-xpu/_ops.py +8 -2
build/torch-xpu/metadata.json +5 -5
build/torch-xpu/metadata.json.sigstore +1 -1
build/torch-xpu/trimul_gpumode/__init__.py +0 -26

build/torch-xpu/_ops.py CHANGED Viewed

@@ -4,7 +4,13 @@ def get_backend() -> str:
     """Detect the backend by inspecting torch."""
     import torch
-    if hasattr(torch, "neuron"):
         # Needs to be sorted before specific Torch builds, since Neuron
         # extension can be loaded into e.g. CUDA Torch builds.
         return "neuron"
@@ -22,7 +28,7 @@ def get_backend() -> str:
 def _find_ops_name() -> str:
     kernel_name = "trimul_gpumode"
-    unique_id = "8a730d9"
     backend = get_backend()
     return f"_{kernel_name}_{backend}_{unique_id}"

     """Detect the backend by inspecting torch."""
     import torch
+    if hasattr(torch.backends, "tpu"):
+        # torch_tpu sets torch.backends.tpu when it is imported (via
+        # torch's device-backend autoload), regardless of whether TPU
+        # hardware is present — analogous to torch.version.cuda being
+        # set on CUDA builds without a GPU.
+        return "tpu"
+    elif hasattr(torch, "neuron"):
         # Needs to be sorted before specific Torch builds, since Neuron
         # extension can be loaded into e.g. CUDA Torch builds.
         return "neuron"
 def _find_ops_name() -> str:
     kernel_name = "trimul_gpumode"
+    unique_id = "addf474"
     backend = get_backend()
     return f"_{kernel_name}_{backend}_{unique_id}"

build/torch-xpu/metadata.json CHANGED Viewed

@@ -1,9 +1,10 @@
 {
   "name": "trimul-gpumode",
-  "id": "_trimul_gpumode_xpu_8a730d9",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],
   "backend": {
     "type": "xpu"
   },
@@ -11,10 +12,9 @@
     "algorithm": "sha256",
     "files": {
       "__init__.py": "faq/a7qAfoxACJHjm243zTsvPvOJEE/OWikCrh5pYiw=",
-      "_ops.py": "cqVADEm/gUBxBWFuS5Vu8yc+Yz1XWCATTuA31wLO7ug=",
       "task.py": "npDgsb+CyKHEyTsdQGXeEg+JqTbbSFzp2uWvGxJaeok=",
       "trimul_global.py": "2VteQYYwhlYAJ9N8vJO3gehLq/FM4PBOBDDRgKDe00k=",
-      "trimul_gpumode/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
       "trimul_mi300.py": "ciJH9BTi8g+6pDyFqJ8AYoxqAsPqJXLOZ0mpwKDiooY=",
       "triton_a100.py": "J4CDi2R/LDcZApzb+3LLJ6nzaqHvHX9WxbN6xJjcRRU=",
       "triton_b200.py": "wJnod6VTHbHNKxwgedhLwqcK5/LJ/uPC6YzfTzQs6zE=",
@@ -24,11 +24,11 @@
   "provenance": {
     "kernel-builder": {
       "version": "0.17.0-dev0",
-      "sha": "81580bb92577f2f7228661ca2a221fc052375709",
       "dirty": false
     },
     "kernel": {
-      "sha": "8a730d96c37560ccf1d3e09f7bbccdc886818f33",
       "dirty": false
     }
   }

 {
   "name": "trimul-gpumode",
+  "id": "_trimul_gpumode_xpu_addf474",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],
+  "kernel-depends": [],
   "backend": {
     "type": "xpu"
   },
     "algorithm": "sha256",
     "files": {
       "__init__.py": "faq/a7qAfoxACJHjm243zTsvPvOJEE/OWikCrh5pYiw=",
+      "_ops.py": "Dy9DfxL6a2oAUs4k69gQABqE0f8N1nwdDQBWXn1HFb4=",
       "task.py": "npDgsb+CyKHEyTsdQGXeEg+JqTbbSFzp2uWvGxJaeok=",
       "trimul_global.py": "2VteQYYwhlYAJ9N8vJO3gehLq/FM4PBOBDDRgKDe00k=",
       "trimul_mi300.py": "ciJH9BTi8g+6pDyFqJ8AYoxqAsPqJXLOZ0mpwKDiooY=",
       "triton_a100.py": "J4CDi2R/LDcZApzb+3LLJ6nzaqHvHX9WxbN6xJjcRRU=",
       "triton_b200.py": "wJnod6VTHbHNKxwgedhLwqcK5/LJ/uPC6YzfTzQs6zE=",
   "provenance": {
     "kernel-builder": {
       "version": "0.17.0-dev0",
+      "commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
       "dirty": false
     },
     "kernel": {
+      "commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
       "dirty": false
     }
   }

build/torch-xpu/metadata.json.sigstore CHANGED Viewed

@@ -1 +1 @@

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build/torch-xpu/trimul_gpumode/__init__.py DELETED Viewed

@@ -1,26 +0,0 @@
-import ctypes
-import importlib.util
-import sys
-from pathlib import Path
-from types import ModuleType
-def _import_from_path(file_path: Path) -> ModuleType:
-    # We cannot use the module name as-is, after adding it to `sys.modules`,
-    # it would also be used for other imports. So, we make a module name that
-    # depends on the path for it to be unique using the hex-encoded hash of
-    # the path.
-    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
-    module_name = path_hash
-    spec = importlib.util.spec_from_file_location(module_name, file_path)
-    if spec is None:
-        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
-    module = importlib.util.module_from_spec(spec)
-    if module is None:
-        raise ImportError(f"Cannot load module {module_name} from spec")
-    sys.modules[module_name] = module
-    spec.loader.exec_module(module)  # type: ignore
-    return module
-globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))