Uploaded using `kernel-builder`.

.gitattributes

@@ -585,3 +585,6 @@ build/torch212-cxx11-cpu-aarch64-linux/_relu_cpu_c835f43.abi3.so filter=lfs diff
 build/torch212-cxx11-cu126-aarch64-linux/_relu_cuda_c835f43.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch212-cxx11-cu130-aarch64-linux/_relu_cuda_c835f43.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch212-cxx11-cu132-aarch64-linux/_relu_cuda_c835f43.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-metal-aarch64-darwin/_relu_metal_c835f43.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch211-metal-aarch64-darwin/_relu_metal_c835f43.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch212-metal-aarch64-darwin/_relu_metal_c835f43.abi3.so filter=lfs diff=lfs merge=lfs -text

build/torch210-cpu-aarch64-darwin/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cpu_86f75d9
-ops = torch.ops._relu_cpu_86f75d9
+from . import _relu_cpu_c835f43
+ops = torch.ops._relu_cpu_c835f43
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_cpu_86f75d9::{op_name}"
+    return f"_relu_cpu_c835f43::{op_name}"

build/torch210-cpu-aarch64-darwin/metadata.json

@@ -1,6 +1,6 @@
 {
   "name": "relu",
-  "id": "_relu_cpu_86f75d9",
+  "id": "_relu_cpu_c835f43",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],

build/torch210-metal-aarch64-darwin/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_metal_86f75d9
-ops = torch.ops._relu_metal_86f75d9
+from . import _relu_metal_c835f43
+ops = torch.ops._relu_metal_c835f43
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_metal_86f75d9::{op_name}"
+    return f"_relu_metal_c835f43::{op_name}"

build/torch210-metal-aarch64-darwin/{_relu_metal_86f75d9.abi3.so → _relu_metal_c835f43.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5eaaa06ca9c418906845168dc55267c2e25c0334ca1f283f002cc69f3bec37d8
+oid sha256:e40bcf2bc30205656118bb28d8fc9628650cac07fc4217dc206aaa39fe336877
 size 100920

build/torch210-metal-aarch64-darwin/metadata.json

@@ -1,6 +1,6 @@
 {
   "name": "relu",
-  "id": "_relu_metal_86f75d9",
+  "id": "_relu_metal_c835f43",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],

build/torch211-cpu-aarch64-darwin/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cpu_86f75d9
-ops = torch.ops._relu_cpu_86f75d9
+from . import _relu_cpu_c835f43
+ops = torch.ops._relu_cpu_c835f43
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_cpu_86f75d9::{op_name}"
+    return f"_relu_cpu_c835f43::{op_name}"

build/torch211-cpu-aarch64-darwin/metadata.json

@@ -1,6 +1,6 @@
 {
   "name": "relu",
-  "id": "_relu_cpu_86f75d9",
+  "id": "_relu_cpu_c835f43",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],

build/torch211-metal-aarch64-darwin/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_metal_86f75d9
-ops = torch.ops._relu_metal_86f75d9
+from . import _relu_metal_c835f43
+ops = torch.ops._relu_metal_c835f43
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_metal_86f75d9::{op_name}"
+    return f"_relu_metal_c835f43::{op_name}"

build/torch211-metal-aarch64-darwin/{_relu_metal_86f75d9.abi3.so → _relu_metal_c835f43.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2df2d4f8ceaaea6a1f42787e509e25ab4f0653731ae1276a2b025179175c1739
+oid sha256:e14587decf73be5a68a2ee095c1320499d27fdaf9ade15fde47e1d7cd2c94f4b
 size 100920

build/torch211-metal-aarch64-darwin/metadata.json

@@ -1,6 +1,6 @@
 {
   "name": "relu",
-  "id": "_relu_metal_86f75d9",
+  "id": "_relu_metal_c835f43",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],

build/torch212-cpu-aarch64-darwin/__init__.py

@@ -0,0 +1,16 @@
+from typing import Optional
+
+import torch
+
+from ._ops import ops
+
+from . import layers
+
+
+def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
+    if out is None:
+        out = torch.empty_like(x)
+    ops.relu(out, x)
+    return out
+
+__all__ = ["relu", "layers"]

build/torch212-cpu-aarch64-darwin/_ops.py

@@ -0,0 +1,9 @@
+import torch
+from . import _relu_cpu_c835f43
+ops = torch.ops._relu_cpu_c835f43
+
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_relu_cpu_c835f43::{op_name}"

build/torch212-cpu-aarch64-darwin/layers/__init__.py

@@ -0,0 +1,11 @@
+import torch
+import torch.nn as nn
+
+from .._ops import ops
+
+
+class ReLU(nn.Module):
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        out = torch.empty_like(x)
+        ops.relu(out, x)
+        return out

build/torch212-cpu-aarch64-darwin/metadata.json

@@ -0,0 +1,10 @@
+{
+  "name": "relu",
+  "id": "_relu_cpu_c835f43",
+  "version": 1,
+  "license": "Apache-2.0",
+  "python-depends": [],
+  "backend": {
+    "type": "cpu"
+  }
+}

build/torch212-cpu-aarch64-darwin/relu/__init__.py

@@ -0,0 +1,26 @@
+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")))

build/torch212-metal-aarch64-darwin/__init__.py

@@ -0,0 +1,16 @@
+from typing import Optional
+
+import torch
+
+from ._ops import ops
+
+from . import layers
+
+
+def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
+    if out is None:
+        out = torch.empty_like(x)
+    ops.relu(out, x)
+    return out
+
+__all__ = ["relu", "layers"]

build/torch212-metal-aarch64-darwin/_ops.py

@@ -0,0 +1,9 @@
+import torch
+from . import _relu_metal_c835f43
+ops = torch.ops._relu_metal_c835f43
+
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_relu_metal_c835f43::{op_name}"

build/torch212-metal-aarch64-darwin/_relu_metal_c835f43.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1bdf1c592c970d44404cfeef285d4e7ef1b4430486a9b44c40adacfa60bc10b9
+size 100952

build/torch212-metal-aarch64-darwin/layers/__init__.py

@@ -0,0 +1,11 @@
+import torch
+import torch.nn as nn
+
+from .._ops import ops
+
+
+class ReLU(nn.Module):
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        out = torch.empty_like(x)
+        ops.relu(out, x)
+        return out

build/torch212-metal-aarch64-darwin/metadata.json

@@ -0,0 +1,10 @@
+{
+  "name": "relu",
+  "id": "_relu_metal_c835f43",
+  "version": 1,
+  "license": "Apache-2.0",
+  "python-depends": [],
+  "backend": {
+    "type": "metal"
+  }
+}

build/torch212-metal-aarch64-darwin/relu/__init__.py

@@ -0,0 +1,26 @@
+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")))