Build uploaded using `kernels`.

.gitattributes

@@ -293,3 +293,18 @@ build/torch211-cxx11-cu126-aarch64-linux/_relu_cuda_86608d6.abi3.so filter=lfs d
 build/torch211-cxx11-cu128-aarch64-linux/_relu_cuda_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch211-cxx11-cu130-aarch64-linux/_relu_cuda_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch29-cxx11-cu129-aarch64-linux/_relu_cuda_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cpu-x86_64-linux/_relu_cpu_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cu126-x86_64-linux/_relu_cuda_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cu128-x86_64-linux/_relu_cuda_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cu130-x86_64-linux/_relu_cuda_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-rocm70-x86_64-linux/_relu_rocm_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-rocm71-x86_64-linux/_relu_rocm_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-xpu20253-x86_64-linux/_relu_xpu_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch211-cxx11-cpu-x86_64-linux/_relu_cpu_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch211-cxx11-cu126-x86_64-linux/_relu_cuda_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch211-cxx11-cu128-x86_64-linux/_relu_cuda_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch211-cxx11-cu130-x86_64-linux/_relu_cuda_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-cu129-x86_64-linux/_relu_cuda_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-rocm63-x86_64-linux/_relu_rocm_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-rocm64-x86_64-linux/_relu_rocm_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-xpu20252-x86_64-linux/_relu_xpu_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text

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

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cpu_6261c06
-ops = torch.ops._relu_cpu_6261c06
+from . import _relu_cpu_86608d6
+ops = torch.ops._relu_cpu_86608d6
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_cpu_6261c06::{op_name}"
+    return f"_relu_cpu_86608d6::{op_name}"

build/torch210-cxx11-cpu-x86_64-linux/{_relu_cpu_6261c06.abi3.so → _relu_cpu_86608d6.abi3.so}

@@ -1,3 +1,3 @@
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-oid sha256:9bc51be4e362c70be9c87e4e3e8464904547c487496ce8a0ebe552c5fa6effab
+oid sha256:fb3101aa8a8832d09b046f2ea229fc5acd982cc3c41b2daa452f98b72f4b1659
 size 1778080

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

@@ -1,5 +1,8 @@
 {
   "version": 1,
   "license": "Apache-2.0",
-  "python-depends": []
+  "python-depends": [],
+  "backend": {
+    "type": "cpu"
+  }
 }

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

@@ -1,10 +1,10 @@
 import ctypes
+import importlib.util
 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

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

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cuda_6261c06
-ops = torch.ops._relu_cuda_6261c06
+from . import _relu_cuda_86608d6
+ops = torch.ops._relu_cuda_86608d6
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_cuda_6261c06::{op_name}"
+    return f"_relu_cuda_86608d6::{op_name}"

build/torch210-cxx11-cu126-x86_64-linux/{_relu_cuda_6261c06.abi3.so → _relu_cuda_86608d6.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b3aaf0a90799a5102aba64409350132a8bba560a8816e00be51a8b5f41f9475d
+oid sha256:42d89bbfb5cb2e7d20d17839d8c2c8bbcbce030005117ea8e4239e0bb5a36c9a
 size 2019880

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

@@ -1,10 +1,10 @@
 import ctypes
+import importlib.util
 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

build/torch210-cxx11-cu128-x86_64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cuda_6261c06
-ops = torch.ops._relu_cuda_6261c06
+from . import _relu_cuda_86608d6
+ops = torch.ops._relu_cuda_86608d6
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_cuda_6261c06::{op_name}"
+    return f"_relu_cuda_86608d6::{op_name}"

build/torch210-cxx11-cu128-x86_64-linux/{_relu_cuda_6261c06.abi3.so → _relu_cuda_86608d6.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1e433d2b9bf2ec78c5567fce9b71cef81fc0fe3e5ce5c68ed35774fb4bfc3c33
+oid sha256:2a979d4a7dc42f5dee9408772d44880fc2d3147e209f9121cb9a4351d0685ec0
 size 2111840

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

@@ -1,10 +1,10 @@
 import ctypes
+import importlib.util
 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

build/torch210-cxx11-cu130-x86_64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cuda_6261c06
-ops = torch.ops._relu_cuda_6261c06
+from . import _relu_cuda_86608d6
+ops = torch.ops._relu_cuda_86608d6
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_cuda_6261c06::{op_name}"
+    return f"_relu_cuda_86608d6::{op_name}"

build/torch210-cxx11-cu130-x86_64-linux/{_relu_cuda_6261c06.abi3.so → _relu_cuda_86608d6.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7d44340251ab3a892a7c74890b06230810cca22518d174d620562ae216bc60ae
+oid sha256:4a70b409caa99f22e012078f2e2f29806237dfe369e6ceee08d7a22fd3715e64
 size 2129656

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

@@ -1,10 +1,10 @@
 import ctypes
+import importlib.util
 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

build/torch210-cxx11-rocm70-x86_64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_rocm_6261c06
-ops = torch.ops._relu_rocm_6261c06
+from . import _relu_rocm_86608d6
+ops = torch.ops._relu_rocm_86608d6
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_rocm_6261c06::{op_name}"
+    return f"_relu_rocm_86608d6::{op_name}"

build/torch210-cxx11-rocm70-x86_64-linux/{_relu_rocm_6261c06.abi3.so → _relu_rocm_86608d6.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:111ce943531a26f724e8c241b86959b2c65e247c1c3d89b0b5a8f7f910ed8d3f
+oid sha256:3cbaa8b12f96175c0b41d3f26df32ab7f4497b6f117eb92c155734237e6999f4
 size 1990368

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

@@ -1,10 +1,10 @@
 import ctypes
+import importlib.util
 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

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

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_rocm_6261c06
-ops = torch.ops._relu_rocm_6261c06
+from . import _relu_rocm_86608d6
+ops = torch.ops._relu_rocm_86608d6
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_rocm_6261c06::{op_name}"
+    return f"_relu_rocm_86608d6::{op_name}"

build/torch210-cxx11-rocm71-x86_64-linux/{_relu_rocm_6261c06.abi3.so → _relu_rocm_86608d6.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c4c743ab2b2fc7cbf616579558ef2acbb30f9610f2ea076c63ddfc9e50c0c69b
+oid sha256:aec0382837474451fa85f6b5eddfb8818f2afbca2c30a9421e4cef15a15a81c3
 size 1990272

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

@@ -1,10 +1,10 @@
 import ctypes
+import importlib.util
 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

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

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_xpu_6261c06
-ops = torch.ops._relu_xpu_6261c06
+from . import _relu_xpu_86608d6
+ops = torch.ops._relu_xpu_86608d6
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_xpu_6261c06::{op_name}"
+    return f"_relu_xpu_86608d6::{op_name}"

build/torch210-cxx11-xpu20253-x86_64-linux/{_relu_xpu_6261c06.abi3.so → _relu_xpu_86608d6.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6ccc014010a351d00431933062b5f385e6bf809b2eb5f6324bcd38ef7ab894a4
+oid sha256:7bf868b995e07c8aff4569b3f403e1b4570533c96150f4c61d5dbc25b12925ce
 size 2050448

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

@@ -1,5 +1,8 @@
 {
   "version": 1,
   "license": "Apache-2.0",
-  "python-depends": []
+  "python-depends": [],
+  "backend": {
+    "type": "xpu"
+  }
 }

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

@@ -1,10 +1,10 @@
 import ctypes
+import importlib.util
 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

build/torch211-cxx11-cpu-x86_64-linux/__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/torch211-cxx11-cpu-x86_64-linux/_ops.py

@@ -0,0 +1,9 @@
+import torch
+from . import _relu_cpu_86608d6
+ops = torch.ops._relu_cpu_86608d6
+
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_relu_cpu_86608d6::{op_name}"

build/torch211-cxx11-cpu-x86_64-linux/_relu_cpu_86608d6.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5992a3aed7e1e62a0f2d35ca967be5fa4914e94c4cacc28ad9733510a57be8c3
+size 1778080

build/torch211-cxx11-cpu-x86_64-linux/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/torch211-cxx11-cpu-x86_64-linux/metadata.json

@@ -0,0 +1,8 @@
+{
+  "version": 1,
+  "license": "Apache-2.0",
+  "python-depends": [],
+  "backend": {
+    "type": "cpu"
+  }
+}

build/torch211-cxx11-cpu-x86_64-linux/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/torch211-cxx11-cu126-x86_64-linux/__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/torch211-cxx11-cu126-x86_64-linux/_ops.py

@@ -0,0 +1,9 @@
+import torch
+from . import _relu_cuda_86608d6
+ops = torch.ops._relu_cuda_86608d6
+
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_relu_cuda_86608d6::{op_name}"

build/torch211-cxx11-cu126-x86_64-linux/_relu_cuda_86608d6.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8651c711c2de41626b7cfed0f331b82d1ff43f95966165e37f270f8c41729abd
+size 2012824

build/torch211-cxx11-cu126-x86_64-linux/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/torch211-cxx11-cu126-x86_64-linux/metadata.json

@@ -0,0 +1,18 @@
+{
+  "version": 1,
+  "license": "Apache-2.0",
+  "python-depends": [],
+  "backend": {
+    "type": "cuda",
+    "archs": [
+      "7.0",
+      "7.2",
+      "7.5",
+      "8.0",
+      "8.6",
+      "8.7",
+      "8.9",
+      "9.0+PTX"
+    ]
+  }
+}

build/torch211-cxx11-cu126-x86_64-linux/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/torch211-cxx11-cu128-x86_64-linux/__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/torch211-cxx11-cu128-x86_64-linux/_ops.py

@@ -0,0 +1,9 @@
+import torch
+from . import _relu_cuda_86608d6
+ops = torch.ops._relu_cuda_86608d6
+
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_relu_cuda_86608d6::{op_name}"

build/torch211-cxx11-cu128-x86_64-linux/_relu_cuda_86608d6.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:55951153622803b777e832fc034d224e3c577ee68204544c463ea5f9df48276f
+size 2100680

build/torch211-cxx11-cu128-x86_64-linux/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/torch211-cxx11-cu128-x86_64-linux/metadata.json

@@ -0,0 +1,21 @@
+{
+  "version": 1,
+  "license": "Apache-2.0",
+  "python-depends": [],
+  "backend": {
+    "type": "cuda",
+    "archs": [
+      "10.0",
+      "10.1",
+      "12.0+PTX",
+      "7.0",
+      "7.2",
+      "7.5",
+      "8.0",
+      "8.6",
+      "8.7",
+      "8.9",
+      "9.0"
+    ]
+  }
+}

build/torch211-cxx11-cu128-x86_64-linux/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/torch211-cxx11-cu130-x86_64-linux/__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/torch211-cxx11-cu130-x86_64-linux/_ops.py

@@ -0,0 +1,9 @@
+import torch
+from . import _relu_cuda_86608d6
+ops = torch.ops._relu_cuda_86608d6
+
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_relu_cuda_86608d6::{op_name}"

build/torch211-cxx11-cu130-x86_64-linux/_relu_cuda_86608d6.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f0eae60d2dd625b4ba565bd1dd74cdddcc842b44ecaba2cca9b1c8ace2ebaba3
+size 2118496

build/torch211-cxx11-cu130-x86_64-linux/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/torch211-cxx11-cu130-x86_64-linux/metadata.json

@@ -0,0 +1,19 @@
+{
+  "version": 1,
+  "license": "Apache-2.0",
+  "python-depends": [],
+  "backend": {
+    "type": "cuda",
+    "archs": [
+      "10.0",
+      "11.0",
+      "12.0+PTX",
+      "7.5",
+      "8.0",
+      "8.6",
+      "8.7",
+      "8.9",
+      "9.0"
+    ]
+  }
+}

build/torch211-cxx11-cu130-x86_64-linux/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/torch29-cxx11-cu129-x86_64-linux/__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/torch29-cxx11-cu129-x86_64-linux/_ops.py

@@ -0,0 +1,9 @@
+import torch
+from . import _relu_cuda_86608d6
+ops = torch.ops._relu_cuda_86608d6
+
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_relu_cuda_86608d6::{op_name}"