drbh commited on 17 days ago

Commit

81c3b07

unverified ·

0 Parent(s):

Migrated from kernels-community/cv-utils

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.gitattributes +71 -0
build/torch210-cu128-x86_64-windows/__init__.py +12 -0
build/torch210-cu128-x86_64-windows/_cv_utils_cuda_0561e14.pyd +3 -0
build/torch210-cu128-x86_64-windows/_ops.py +9 -0
build/torch210-cu128-x86_64-windows/cv_utils/__init__.py +26 -0
build/torch210-cu128-x86_64-windows/metadata.json +20 -0
build/torch210-cxx11-cu126-aarch64-linux/__init__.py +12 -0
build/torch210-cxx11-cu126-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so +3 -0
build/torch210-cxx11-cu126-aarch64-linux/_ops.py +9 -0
build/torch210-cxx11-cu126-aarch64-linux/cv_utils/__init__.py +26 -0
build/torch210-cxx11-cu126-aarch64-linux/metadata.json +17 -0
build/torch210-cxx11-cu126-x86_64-linux/__init__.py +12 -0
build/torch210-cxx11-cu126-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so +3 -0
build/torch210-cxx11-cu126-x86_64-linux/_ops.py +9 -0
build/torch210-cxx11-cu126-x86_64-linux/cv_utils/__init__.py +26 -0
build/torch210-cxx11-cu126-x86_64-linux/metadata.json +17 -0
build/torch210-cxx11-cu128-aarch64-linux/__init__.py +12 -0
build/torch210-cxx11-cu128-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so +3 -0
build/torch210-cxx11-cu128-aarch64-linux/_ops.py +9 -0
build/torch210-cxx11-cu128-aarch64-linux/cv_utils/__init__.py +26 -0
build/torch210-cxx11-cu128-aarch64-linux/metadata.json +20 -0
build/torch210-cxx11-cu128-x86_64-linux/__init__.py +12 -0
build/torch210-cxx11-cu128-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so +3 -0
build/torch210-cxx11-cu128-x86_64-linux/_ops.py +9 -0
build/torch210-cxx11-cu128-x86_64-linux/cv_utils/__init__.py +26 -0
build/torch210-cxx11-cu128-x86_64-linux/metadata.json +20 -0
build/torch210-cxx11-cu130-aarch64-linux/__init__.py +12 -0
build/torch210-cxx11-cu130-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so +3 -0
build/torch210-cxx11-cu130-aarch64-linux/_ops.py +9 -0
build/torch210-cxx11-cu130-aarch64-linux/cv_utils/__init__.py +26 -0
build/torch210-cxx11-cu130-aarch64-linux/metadata.json +18 -0
build/torch210-cxx11-cu130-x86_64-linux/__init__.py +12 -0
build/torch210-cxx11-cu130-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so +3 -0
build/torch210-cxx11-cu130-x86_64-linux/_ops.py +9 -0
build/torch210-cxx11-cu130-x86_64-linux/cv_utils/__init__.py +26 -0
build/torch210-cxx11-cu130-x86_64-linux/metadata.json +18 -0
build/torch211-cxx11-cu126-aarch64-linux/__init__.py +12 -0
build/torch211-cxx11-cu126-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so +3 -0
build/torch211-cxx11-cu126-aarch64-linux/_ops.py +9 -0
build/torch211-cxx11-cu126-aarch64-linux/cv_utils/__init__.py +26 -0
build/torch211-cxx11-cu126-aarch64-linux/metadata.json +17 -0
build/torch211-cxx11-cu126-x86_64-linux/__init__.py +12 -0
build/torch211-cxx11-cu126-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so +3 -0
build/torch211-cxx11-cu126-x86_64-linux/_ops.py +9 -0
build/torch211-cxx11-cu126-x86_64-linux/cv_utils/__init__.py +26 -0
build/torch211-cxx11-cu126-x86_64-linux/metadata.json +17 -0
build/torch211-cxx11-cu128-aarch64-linux/__init__.py +12 -0
build/torch211-cxx11-cu128-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so +3 -0
build/torch211-cxx11-cu128-aarch64-linux/_ops.py +9 -0
build/torch211-cxx11-cu128-aarch64-linux/cv_utils/__init__.py +26 -0

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build/torch210-cu128-x86_64-windows/__init__.py ADDED Viewed

	@@ -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/torch210-cu128-x86_64-windows/_cv_utils_cuda_0561e14.pyd ADDED Viewed

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+version https://git-lfs.github.com/spec/v1
+oid sha256:421b973a2ce02fe068ac5015ebb50d55a46abdb1f5eceb9f3dbc32383505be5b
+size 1782784

build/torch210-cu128-x86_64-windows/_ops.py ADDED Viewed

	@@ -0,0 +1,9 @@

+import torch
+from . import _cv_utils_cuda_0561e14
+ops = torch.ops._cv_utils_cuda_0561e14
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_cv_utils_cuda_0561e14::{op_name}"

build/torch210-cu128-x86_64-windows/cv_utils/__init__.py ADDED Viewed

	@@ -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-cu128-x86_64-windows/metadata.json ADDED Viewed

	@@ -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/torch210-cxx11-cu126-aarch64-linux/__init__.py ADDED Viewed

	@@ -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/torch210-cxx11-cu126-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:85951892e9264e890bc78648406d030328cf1082440fe9ee78cdd0c519573cba
+size 3168896

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

	@@ -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/torch210-cxx11-cu126-aarch64-linux/cv_utils/__init__.py ADDED Viewed

	@@ -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/torch210-cxx11-cu126-aarch64-linux/metadata.json ADDED Viewed

	@@ -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/torch210-cxx11-cu126-x86_64-linux/__init__.py ADDED Viewed

	@@ -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/torch210-cxx11-cu126-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:8570f8f8239587bffe735225297b3c68d6687599301bc53dd70c3dd059306b0c
+size 3049648

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

	@@ -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/torch210-cxx11-cu126-x86_64-linux/cv_utils/__init__.py ADDED Viewed

	@@ -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/torch210-cxx11-cu126-x86_64-linux/metadata.json ADDED Viewed

	@@ -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/torch210-cxx11-cu128-aarch64-linux/__init__.py ADDED Viewed

	@@ -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/torch210-cxx11-cu128-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:2c80b066ed750b4a5b7f1f11a0d77427f0f0e99118ccbd9b8317c67f5a86adad
+size 3824424

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

	@@ -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/torch210-cxx11-cu128-aarch64-linux/cv_utils/__init__.py ADDED Viewed

	@@ -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/torch210-cxx11-cu128-aarch64-linux/metadata.json ADDED Viewed

	@@ -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/torch210-cxx11-cu128-x86_64-linux/__init__.py ADDED Viewed

	@@ -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/torch210-cxx11-cu128-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:af1c42d352ffee1254cbfcb240d0e6b3aa12b3db7a42720952b368e1abcf480e
+size 3735552

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

	@@ -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/torch210-cxx11-cu128-x86_64-linux/cv_utils/__init__.py ADDED Viewed

	@@ -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/torch210-cxx11-cu128-x86_64-linux/metadata.json ADDED Viewed

	@@ -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/torch210-cxx11-cu130-aarch64-linux/__init__.py ADDED Viewed

	@@ -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/torch210-cxx11-cu130-aarch64-linux/_cv_utils_cuda_d91fc8d.abi3.so ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:7483b27cbdd39dbe19814440aa97a22fce61635c2cb22ce510a5430d75a99d69
+size 3633848

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

	@@ -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/torch210-cxx11-cu130-aarch64-linux/cv_utils/__init__.py ADDED Viewed

	@@ -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/torch210-cxx11-cu130-aarch64-linux/metadata.json ADDED Viewed

	@@ -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/torch210-cxx11-cu130-x86_64-linux/__init__.py ADDED Viewed

	@@ -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/torch210-cxx11-cu130-x86_64-linux/_cv_utils_cuda_d91fc8d.abi3.so ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:499b4704cfef394926ac41eba5dfe418a021aafabb8508af84cfe8c146dd2703
+size 3518288

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

	@@ -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/torch210-cxx11-cu130-x86_64-linux/cv_utils/__init__.py ADDED Viewed

	@@ -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/torch210-cxx11-cu130-x86_64-linux/metadata.json ADDED Viewed

	@@ -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/torch211-cxx11-cu126-aarch64-linux/__init__.py ADDED Viewed

	@@ -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 ADDED Viewed

	@@ -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 ADDED Viewed

	@@ -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 ADDED Viewed

	@@ -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 ADDED Viewed

	@@ -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-cu126-x86_64-linux/__init__.py ADDED Viewed

	@@ -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 ADDED Viewed

	@@ -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 ADDED Viewed

	@@ -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 ADDED Viewed

	@@ -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 ADDED Viewed

	@@ -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 ADDED Viewed

	@@ -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 ADDED Viewed

	@@ -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 ADDED Viewed

	@@ -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 ADDED Viewed

	@@ -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")))