Build uploaded using `kernels`.

.gitattributes

@@ -62,3 +62,10 @@ build/torch211-cxx11-cu126-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so filter=l
 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-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cu128-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cu130-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch211-cxx11-cu126-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch211-cxx11-cu128-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch211-cxx11-cu130-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-cu129-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so filter=lfs diff=lfs merge=lfs -text

build/torch210-cxx11-cu126-x86_64-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 sha256:08a143e0e5ea9a31d0eefa47d6d1f9fb94d62d7b1a818e664cca55cbf1afbbd0
+oid sha256:8570f8f8239587bffe735225297b3c68d6687599301bc53dd70c3dd059306b0c
 size 3049648

build/torch210-cxx11-cu126-x86_64-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-x86_64-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-x86_64-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:b5d48599960f52ab41b65d87587d4327a1fceeedbb8879e107a526bd6095f90f
+oid sha256:af1c42d352ffee1254cbfcb240d0e6b3aa12b3db7a42720952b368e1abcf480e
 size 3735552

build/torch210-cxx11-cu128-x86_64-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-x86_64-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-x86_64-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:ff540265c0e5237ec9a03963ecb91ffc6054ea11b9b94d7c22fb3e1408188fed
+oid sha256:499b4704cfef394926ac41eba5dfe418a021aafabb8508af84cfe8c146dd2703
 size 3518288

build/torch210-cxx11-cu130-x86_64-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-x86_64-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-x86_64-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-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:41f1f524c80be56fdfd22b5a72a15a939043eaa357df32af9272cabaa74f9884
+size 3042584

build/torch211-cxx11-cu126-x86_64-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-x86_64-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-x86_64-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-x86_64-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-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7df382c98bfdfb429818662c2cc43a67b6a839db3dc762b15c55b277e955442
+size 3724384

build/torch211-cxx11-cu128-x86_64-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-x86_64-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-x86_64-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-x86_64-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-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9c91d38609e6e5e497c4b12f3a8fd1dbe0897aa8d390300a9f5a7d856f467b1
+size 3511216

build/torch211-cxx11-cu130-x86_64-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-x86_64-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-x86_64-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-x86_64-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-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61220d27af0f4e81410f3211b82789b49f45cfeab97fff61f256bd260b6813b1
+size 3688568

build/torch29-cxx11-cu129-x86_64-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-x86_64-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-x86_64-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"
+    ]
+  }
+}