Build uploaded using `kernels`.

.gitattributes

@@ -55,3 +55,10 @@ build/torch29-cxx11-cu126-x86_64-linux/_cv_utils_cuda_8cfc281.abi3.so filter=lfs
 build/torch29-cxx11-cu128-x86_64-linux/_cv_utils_cuda_8cfc281.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch29-cxx11-cu130-x86_64-linux/_cv_utils_cuda_8cfc281.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch210-cu128-x86_64-windows/_cv_utils_cuda_0561e14.pyd filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cu126-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cu128-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cu130-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch211-cxx11-cu126-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch211-cxx11-cu128-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch211-cxx11-cu130-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-cu129-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so filter=lfs diff=lfs merge=lfs -text

build/torch210-cxx11-cu126-aarch64-linux/{_cv_utils_cuda_8cfc281.abi3.so → _cv_utils_cuda_d91fc8d.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dd70e0ed7915339cb40d62b2db8381331cf07586acdbeed4d7cd1bd06c54b6d5
+oid sha256:85951892e9264e890bc78648406d030328cf1082440fe9ee78cdd0c519573cba
 size 3168896

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

@@ -1,9 +1,9 @@
 import torch
-from . import _cv_utils_cuda_8cfc281
-ops = torch.ops._cv_utils_cuda_8cfc281
+from . import _cv_utils_cuda_d91fc8d
+ops = torch.ops._cv_utils_cuda_d91fc8d
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_cv_utils_cuda_8cfc281::{op_name}"
+    return f"_cv_utils_cuda_d91fc8d::{op_name}"

build/torch210-cxx11-cu126-aarch64-linux/cv_utils/__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/{_cv_utils_cuda_8cfc281.abi3.so → _cv_utils_cuda_d91fc8d.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2203c765753e697bad106474dc3536fd991024509abd6f4cbb2db1c7e9684857
+oid sha256:2c80b066ed750b4a5b7f1f11a0d77427f0f0e99118ccbd9b8317c67f5a86adad
 size 3824424

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

@@ -1,9 +1,9 @@
 import torch
-from . import _cv_utils_cuda_8cfc281
-ops = torch.ops._cv_utils_cuda_8cfc281
+from . import _cv_utils_cuda_d91fc8d
+ops = torch.ops._cv_utils_cuda_d91fc8d
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_cv_utils_cuda_8cfc281::{op_name}"
+    return f"_cv_utils_cuda_d91fc8d::{op_name}"

build/torch210-cxx11-cu128-aarch64-linux/cv_utils/__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/{_cv_utils_cuda_8cfc281.abi3.so → _cv_utils_cuda_d91fc8d.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f62f22326656ca04093c8230d4a418d57f3ecbcfb6b939e9d13226d11dbe587e
+oid sha256:7483b27cbdd39dbe19814440aa97a22fce61635c2cb22ce510a5430d75a99d69
 size 3633848

build/torch210-cxx11-cu130-aarch64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _cv_utils_cuda_8cfc281
-ops = torch.ops._cv_utils_cuda_8cfc281
+from . import _cv_utils_cuda_d91fc8d
+ops = torch.ops._cv_utils_cuda_d91fc8d
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_cv_utils_cuda_8cfc281::{op_name}"
+    return f"_cv_utils_cuda_d91fc8d::{op_name}"

build/torch210-cxx11-cu130-aarch64-linux/cv_utils/__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-cu126-aarch64-linux/__init__.py

@@ -0,0 +1,12 @@
+import torch
+from typing import List
+
+from ._ops import ops
+
+def cc_2d(inputs: torch.Tensor, get_counts: bool) -> List[torch.Tensor]:
+    return ops.cc_2d(inputs, get_counts)
+
+def generic_nms(dets: torch.Tensor, scores: torch.Tensor, iou_threshold: float, use_iou_matrix: bool) -> torch.Tensor:
+    return ops.generic_nms(dets, scores, iou_threshold, use_iou_matrix)
+
+__all__ = ["cc_2d", "generic_nms"]

build/torch211-cxx11-cu126-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2dbbfc5bf524a337e8b6900179e1df4a951ce95e2453691a4fb2c9a6ca2df3b9
+size 3165104

build/torch211-cxx11-cu126-aarch64-linux/_ops.py

@@ -0,0 +1,9 @@
+import torch
+from . import _cv_utils_cuda_d91fc8d
+ops = torch.ops._cv_utils_cuda_d91fc8d
+
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_cv_utils_cuda_d91fc8d::{op_name}"

build/torch211-cxx11-cu126-aarch64-linux/cv_utils/__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/metadata.json

@@ -0,0 +1,17 @@
+{
+  "version": 1,
+  "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-cu128-aarch64-linux/__init__.py

@@ -0,0 +1,12 @@
+import torch
+from typing import List
+
+from ._ops import ops
+
+def cc_2d(inputs: torch.Tensor, get_counts: bool) -> List[torch.Tensor]:
+    return ops.cc_2d(inputs, get_counts)
+
+def generic_nms(dets: torch.Tensor, scores: torch.Tensor, iou_threshold: float, use_iou_matrix: bool) -> torch.Tensor:
+    return ops.generic_nms(dets, scores, iou_threshold, use_iou_matrix)
+
+__all__ = ["cc_2d", "generic_nms"]

build/torch211-cxx11-cu128-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79587ea9ec0c69d9dbcc51298483eb3794d06adb73d9e463ad7ac1ea52232e7b
+size 3820640

build/torch211-cxx11-cu128-aarch64-linux/_ops.py

@@ -0,0 +1,9 @@
+import torch
+from . import _cv_utils_cuda_d91fc8d
+ops = torch.ops._cv_utils_cuda_d91fc8d
+
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_cv_utils_cuda_d91fc8d::{op_name}"

build/torch211-cxx11-cu128-aarch64-linux/cv_utils/__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/metadata.json

@@ -0,0 +1,20 @@
+{
+  "version": 1,
+  "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-cu130-aarch64-linux/__init__.py

@@ -0,0 +1,12 @@
+import torch
+from typing import List
+
+from ._ops import ops
+
+def cc_2d(inputs: torch.Tensor, get_counts: bool) -> List[torch.Tensor]:
+    return ops.cc_2d(inputs, get_counts)
+
+def generic_nms(dets: torch.Tensor, scores: torch.Tensor, iou_threshold: float, use_iou_matrix: bool) -> torch.Tensor:
+    return ops.generic_nms(dets, scores, iou_threshold, use_iou_matrix)
+
+__all__ = ["cc_2d", "generic_nms"]

build/torch211-cxx11-cu130-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a262ed16de99e85ac531e4be6db2cba240b1ba0c2de31c227c7f312455f5fe3e
+size 3630056

build/torch211-cxx11-cu130-aarch64-linux/_ops.py

@@ -0,0 +1,9 @@
+import torch
+from . import _cv_utils_cuda_d91fc8d
+ops = torch.ops._cv_utils_cuda_d91fc8d
+
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_cv_utils_cuda_d91fc8d::{op_name}"

build/torch211-cxx11-cu130-aarch64-linux/cv_utils/__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/metadata.json

@@ -0,0 +1,18 @@
+{
+  "version": 1,
+  "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/torch29-cxx11-cu129-aarch64-linux/__init__.py

@@ -0,0 +1,12 @@
+import torch
+from typing import List
+
+from ._ops import ops
+
+def cc_2d(inputs: torch.Tensor, get_counts: bool) -> List[torch.Tensor]:
+    return ops.cc_2d(inputs, get_counts)
+
+def generic_nms(dets: torch.Tensor, scores: torch.Tensor, iou_threshold: float, use_iou_matrix: bool) -> torch.Tensor:
+    return ops.generic_nms(dets, scores, iou_threshold, use_iou_matrix)
+
+__all__ = ["cc_2d", "generic_nms"]

build/torch29-cxx11-cu129-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e0e09c11e4b5033d3b6b53cdb230726fb96bc9f394a53b2dc466d3b40f522cf
+size 3822096

build/torch29-cxx11-cu129-aarch64-linux/_ops.py

@@ -0,0 +1,9 @@
+import torch
+from . import _cv_utils_cuda_d91fc8d
+ops = torch.ops._cv_utils_cuda_d91fc8d
+
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_cv_utils_cuda_d91fc8d::{op_name}"

build/torch29-cxx11-cu129-aarch64-linux/cv_utils/__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/metadata.json

@@ -0,0 +1,20 @@
+{
+  "version": 1,
+  "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"
+    ]
+  }
+}