Build uploaded using `kernels`.

.gitattributes

@@ -284,3 +284,12 @@ build/torch29-cxx11-cu128-aarch64-linux/_relu_cuda_0a30093.abi3.so filter=lfs di
 build/torch29-cxx11-cu130-aarch64-linux/_relu_cuda_0a30093.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch210-cu128-x86_64-windows/_relu_cuda_fd389c8.pyd filter=lfs diff=lfs merge=lfs -text
 build/torch210-xpu20253-x86_64-windows/_relu_xpu_fd389c8.pyd filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cpu-aarch64-linux/_relu_cpu_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cu126-aarch64-linux/_relu_cuda_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cu128-aarch64-linux/_relu_cuda_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cu130-aarch64-linux/_relu_cuda_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch211-cxx11-cpu-aarch64-linux/_relu_cpu_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch211-cxx11-cu126-aarch64-linux/_relu_cuda_86608d6.abi3.so filter=lfs diff=lfs merge=lfs -text
+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-aarch64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cpu_0a30093
-ops = torch.ops._relu_cpu_0a30093
+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_0a30093::{op_name}"
+    return f"_relu_cpu_86608d6::{op_name}"

build/torch210-cxx11-cpu-aarch64-linux/{_relu_cpu_0a30093.abi3.so → _relu_cpu_86608d6.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8d7a2710d50ffac544ab37f351f4e9808743a46d851014bfec55032fe2b772c5
+oid sha256:596435958298e61250b099f9bdf79b5f2436875a1de8e9a4cc03f9d98cb42f82
 size 2025352

build/torch210-cxx11-cpu-aarch64-linux/metadata.json

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

build/torch210-cxx11-cpu-aarch64-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-aarch64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cuda_0a30093
-ops = torch.ops._relu_cuda_0a30093
+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_0a30093::{op_name}"
+    return f"_relu_cuda_86608d6::{op_name}"

build/torch210-cxx11-cu126-aarch64-linux/{_relu_cuda_0a30093.abi3.so → _relu_cuda_86608d6.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8a2f67c7ae80600668fec37d2b55d226cd025380f398510de87ab070a5bedbf5
+oid sha256:4409e4835a9af3abf816cd252c489a53ccfca967ad654544e97403ba75b339ea
 size 2103912

build/torch210-cxx11-cu126-aarch64-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-aarch64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cuda_0a30093
-ops = torch.ops._relu_cuda_0a30093
+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_0a30093::{op_name}"
+    return f"_relu_cuda_86608d6::{op_name}"

build/torch210-cxx11-cu128-aarch64-linux/{_relu_cuda_0a30093.abi3.so → _relu_cuda_86608d6.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3fc87bfb8bbbc41d9d78c65959ef906e2b1940fd4c609ad1e45eb8e6d524ff5f
+oid sha256:eb1d76a7970041e8b408d493adb9250bb755581255aeae7ba2cf44d22ae2490b
 size 2235240

build/torch210-cxx11-cu128-aarch64-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-aarch64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cuda_0a30093
-ops = torch.ops._relu_cuda_0a30093
+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_0a30093::{op_name}"
+    return f"_relu_cuda_86608d6::{op_name}"

build/torch210-cxx11-cu130-aarch64-linux/{_relu_cuda_0a30093.abi3.so → _relu_cuda_86608d6.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f85bfa4560f261b932b0a983b6b8817391353f622fa06152b4794c58edaab738
+oid sha256:af6ab238580c7b5855200df6a0cac5dfa7fbd36342a2c82f26431d046ec7fddc
 size 2236952

build/torch210-cxx11-cu130-aarch64-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-aarch64-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-aarch64-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-aarch64-linux/_relu_cpu_86608d6.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4475353646ad4a7adc698f5abc6f3c053c3deaaffd980710e31fddddc65de8a2
+size 2025352

build/torch211-cxx11-cpu-aarch64-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-aarch64-linux/metadata.json

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

build/torch211-cxx11-cpu-aarch64-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-aarch64-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-aarch64-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-aarch64-linux/_relu_cuda_86608d6.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d4f3cb1b7d262aa66d86d0a57521afbf6825ef2be6ebe0c294c48a28c792e293
+size 2100128

build/torch211-cxx11-cu126-aarch64-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-aarch64-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-aarch64-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-aarch64-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-aarch64-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-aarch64-linux/_relu_cuda_86608d6.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:74288ac0fda279a679e985ed3f184dada9eb3769283d3fe546eb05f1628e5f57
+size 2231464

build/torch211-cxx11-cu128-aarch64-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-aarch64-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-aarch64-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-aarch64-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-aarch64-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-aarch64-linux/_relu_cuda_86608d6.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:67ff85126ba3ae10041020f21b1f016dd0f59a62ea4f8d0687af55400a195d8d
+size 2233176

build/torch211-cxx11-cu130-aarch64-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-aarch64-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-aarch64-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-aarch64-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-aarch64-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/torch29-cxx11-cu129-aarch64-linux/_relu_cuda_86608d6.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e48906b3c3019986065ae16c2a7023cb30ab15b896a247f17b55657fda076423
+size 2234392

build/torch29-cxx11-cu129-aarch64-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/torch29-cxx11-cu129-aarch64-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/torch29-cxx11-cu129-aarch64-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")))