Build uploaded using `kernels`.

.gitattributes

@@ -71,3 +71,21 @@ build/torch29-cxx11-rocm64-x86_64-linux/relu/_relu_8d21eda.abi3.so filter=lfs di
 build/torch29-cxx11-xpu20252-x86_64-linux/relu/_relu_8d21eda.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch29-cxx11-cu126-x86_64-linux/relu/_relu_e52ac39.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch29-cxx11-cu126-x86_64-linux/relu/_relu_46e4283.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cu126-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cu128-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cu130-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-rocm70-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-rocm71-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-xpu20253-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch28-cxx11-cu126-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch28-cxx11-cu128-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch28-cxx11-cu129-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch28-cxx11-rocm63-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch28-cxx11-rocm64-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch28-cxx11-xpu20251-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-cu126-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-cu128-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-cu130-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-rocm63-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-rocm64-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-xpu20252-x86_64-linux/_relu_9f1f069.abi3.so filter=lfs diff=lfs merge=lfs -text

build/torch210-cxx11-cu126-x86_64-linux/__init__.py

@@ -0,0 +1,12 @@
+from typing import Optional
+
+import torch
+
+from ._ops import ops
+
+
+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

build/{torch28-cxx11-cu128-x86_64-linux/relu → torch210-cxx11-cu126-x86_64-linux}/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_8d21eda
-ops = torch.ops._relu_8d21eda
+from . import _relu_9f1f069
+ops = torch.ops._relu_9f1f069
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_8d21eda::{op_name}"
+    return f"_relu_9f1f069::{op_name}"

build/{torch28-cxx11-cu128-x86_64-linux/relu/_relu_8d21eda.abi3.so → torch210-cxx11-cu126-x86_64-linux/_relu_9f1f069.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ae72c97d7cff191876d208ff87f7ff8a6c5154f6f739ca8f1eca3662e16e7761
-size 2059696
+oid sha256:4331a70e73fe4493c4a77e411ceb88fbdf91fe22988cf387ba888457bc95428a
+size 2019872

build/torch210-cxx11-cu126-x86_64-linux/metadata.json

@@ -0,0 +1 @@
+{"python-depends":[]}

build/torch210-cxx11-cu126-x86_64-linux/relu/__init__.py

@@ -0,0 +1,26 @@
+import ctypes
+import sys
+
+import importlib
+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/torch210-cxx11-cu128-x86_64-linux/__init__.py

@@ -0,0 +1,12 @@
+from typing import Optional
+
+import torch
+
+from ._ops import ops
+
+
+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

build/{torch28-cxx11-cu129-x86_64-linux/relu → torch210-cxx11-cu128-x86_64-linux}/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_8d21eda
-ops = torch.ops._relu_8d21eda
+from . import _relu_9f1f069
+ops = torch.ops._relu_9f1f069
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_8d21eda::{op_name}"
+    return f"_relu_9f1f069::{op_name}"

build/{torch28-cxx11-cu129-x86_64-linux/relu/_relu_8d21eda.abi3.so → torch210-cxx11-cu128-x86_64-linux/_relu_9f1f069.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b5d87c3a0cc93a8c9ede0229c6596574bee39975950d2f5d39314ae80119a61f
-size 2085288
+oid sha256:fb9d4b04679a723ed97e12592f1c9977d3e858d896c527b0e99302de5dcbf00d
+size 2111824

build/torch210-cxx11-cu128-x86_64-linux/metadata.json

@@ -0,0 +1 @@
+{"python-depends":[]}

build/torch210-cxx11-cu128-x86_64-linux/relu/__init__.py

@@ -0,0 +1,26 @@
+import ctypes
+import sys
+
+import importlib
+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/torch210-cxx11-cu130-x86_64-linux/__init__.py

@@ -0,0 +1,12 @@
+from typing import Optional
+
+import torch
+
+from ._ops import ops
+
+
+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

build/{torch28-cxx11-cu126-x86_64-linux/relu → torch210-cxx11-cu130-x86_64-linux}/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_8d21eda
-ops = torch.ops._relu_8d21eda
+from . import _relu_9f1f069
+ops = torch.ops._relu_9f1f069
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_8d21eda::{op_name}"
+    return f"_relu_9f1f069::{op_name}"

build/{torch28-cxx11-rocm63-x86_64-linux/relu/_relu_8d21eda.abi3.so → torch210-cxx11-cu130-x86_64-linux/_relu_9f1f069.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3bd5a2bd6e893cf17d1b9da83381eae186779f7d65c0e8a2a71ea66604137897
-size 1956296
+oid sha256:2983b028177a3807d423750a37ca685c7ebfc8100b5f6598df69667afe8f35ec
+size 2129640

build/torch210-cxx11-cu130-x86_64-linux/metadata.json

@@ -0,0 +1 @@
+{"python-depends":[]}

build/torch210-cxx11-cu130-x86_64-linux/relu/__init__.py

@@ -0,0 +1,26 @@
+import ctypes
+import sys
+
+import importlib
+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/torch210-cxx11-rocm70-x86_64-linux/__init__.py

@@ -0,0 +1,12 @@
+from typing import Optional
+
+import torch
+
+from ._ops import ops
+
+
+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

build/{torch28-cxx11-rocm63-x86_64-linux/relu → torch210-cxx11-rocm70-x86_64-linux}/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_8d21eda
-ops = torch.ops._relu_8d21eda
+from . import _relu_9f1f069
+ops = torch.ops._relu_9f1f069
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_8d21eda::{op_name}"
+    return f"_relu_9f1f069::{op_name}"

build/{torch28-cxx11-cu126-x86_64-linux/relu/_relu_8d21eda.abi3.so → torch210-cxx11-rocm70-x86_64-linux/_relu_9f1f069.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6d68451cf8bb6093b27ea38431c5b9e813adaebc8abc7ea55e1e0f1e6237c596
-size 1988376
+oid sha256:d0ee62fbd93bbf70a5239bd94669ec10c5466bd871d225dd42d89f68055335c1
+size 1990320

build/torch210-cxx11-rocm70-x86_64-linux/metadata.json

@@ -0,0 +1 @@
+{"python-depends":[]}

build/torch210-cxx11-rocm70-x86_64-linux/relu/__init__.py

@@ -0,0 +1,26 @@
+import ctypes
+import sys
+
+import importlib
+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/torch210-cxx11-rocm71-x86_64-linux/__init__.py

@@ -0,0 +1,12 @@
+from typing import Optional
+
+import torch
+
+from ._ops import ops
+
+
+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

build/torch210-cxx11-rocm71-x86_64-linux/_ops.py

@@ -0,0 +1,9 @@
+import torch
+from . import _relu_9f1f069
+ops = torch.ops._relu_9f1f069
+
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_relu_9f1f069::{op_name}"

build/torch210-cxx11-rocm71-x86_64-linux/_relu_9f1f069.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:87f0d86aeedffc637b070645822e6688be5744263c5fda3d0f92c4a827d8a37b
+size 1990224

build/torch210-cxx11-rocm71-x86_64-linux/metadata.json

@@ -0,0 +1 @@
+{"python-depends":[]}

build/torch210-cxx11-rocm71-x86_64-linux/relu/__init__.py

@@ -0,0 +1,26 @@
+import ctypes
+import sys
+
+import importlib
+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/torch210-cxx11-xpu20253-x86_64-linux/__init__.py

@@ -0,0 +1,12 @@
+from typing import Optional
+
+import torch
+
+from ._ops import ops
+
+
+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

build/torch210-cxx11-xpu20253-x86_64-linux/_ops.py

@@ -0,0 +1,9 @@
+import torch
+from . import _relu_9f1f069
+ops = torch.ops._relu_9f1f069
+
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_relu_9f1f069::{op_name}"

build/torch210-cxx11-xpu20253-x86_64-linux/_relu_9f1f069.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3b8050743b1530ad911c74eef35ec5ffb76c2dda91790c56e083635d49aca10e
+size 2050440

build/torch210-cxx11-xpu20253-x86_64-linux/metadata.json

@@ -0,0 +1 @@
+{"python-depends":[]}

build/torch210-cxx11-xpu20253-x86_64-linux/relu/__init__.py

@@ -0,0 +1,26 @@
+import ctypes
+import sys
+
+import importlib
+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/torch28-cxx11-cu126-x86_64-linux/__init__.py

@@ -0,0 +1,12 @@
+from typing import Optional
+
+import torch
+
+from ._ops import ops
+
+
+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

build/torch28-cxx11-cu126-x86_64-linux/_ops.py

@@ -0,0 +1,9 @@
+import torch
+from . import _relu_9f1f069
+ops = torch.ops._relu_9f1f069
+
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_relu_9f1f069::{op_name}"

build/torch28-cxx11-cu126-x86_64-linux/_relu_9f1f069.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ce61ae869ce8392e5ffcbf234b073368eed20808fedcf7236fa10690133d5a2
+size 2013928

build/torch28-cxx11-cu126-x86_64-linux/metadata.json

@@ -0,0 +1 @@
+{"python-depends":[]}

build/torch28-cxx11-cu126-x86_64-linux/relu/__init__.py

@@ -1,12 +1,26 @@
-from typing import Optional
+import ctypes
+import sys
 
-import torch
+import importlib
+from pathlib import Path
+from types import ModuleType
 
-from ._ops import ops
+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
 
 
-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
+globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))

build/torch28-cxx11-cu128-x86_64-linux/__init__.py

@@ -0,0 +1,12 @@
+from typing import Optional
+
+import torch
+
+from ._ops import ops
+
+
+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

build/torch28-cxx11-cu128-x86_64-linux/_ops.py

@@ -0,0 +1,9 @@
+import torch
+from . import _relu_9f1f069
+ops = torch.ops._relu_9f1f069
+
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_relu_9f1f069::{op_name}"

build/torch28-cxx11-cu128-x86_64-linux/_relu_9f1f069.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f53b59d3863275f40114ae9d415e8dfbd1af68ea11bd924ed60088e76467a645
+size 2101656

build/torch28-cxx11-cu128-x86_64-linux/metadata.json

@@ -0,0 +1 @@
+{"python-depends":[]}

build/torch28-cxx11-cu128-x86_64-linux/relu/__init__.py

@@ -1,12 +1,26 @@
-from typing import Optional
+import ctypes
+import sys
 
-import torch
+import importlib
+from pathlib import Path
+from types import ModuleType
 
-from ._ops import ops
+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
 
 
-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
+globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))

build/torch28-cxx11-cu129-x86_64-linux/__init__.py

@@ -0,0 +1,12 @@
+from typing import Optional
+
+import torch
+
+from ._ops import ops
+
+
+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

build/torch28-cxx11-cu129-x86_64-linux/_ops.py

@@ -0,0 +1,9 @@
+import torch
+from . import _relu_9f1f069
+ops = torch.ops._relu_9f1f069
+
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_relu_9f1f069::{op_name}"

build/torch28-cxx11-cu129-x86_64-linux/_relu_9f1f069.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c4cb02e5b63c1236dbbfc491dc79ac88da1172389f8402f23cbe76e76f1dd0a0
+size 2135440

build/torch28-cxx11-cu129-x86_64-linux/metadata.json

@@ -0,0 +1 @@
+{"python-depends":[]}

build/torch28-cxx11-cu129-x86_64-linux/relu/__init__.py

@@ -1,12 +1,26 @@
-from typing import Optional
+import ctypes
+import sys
 
-import torch
+import importlib
+from pathlib import Path
+from types import ModuleType
 
-from ._ops import ops
+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
 
 
-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
+globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))