Kernels:

kernels-community
/

cv-utils

Trusted publisher

Kernel card Files Files and versions

xet

Community

danieldk HF Staff commited on 14 days ago

Commit

ff4736f

1 Parent(s): 1eb01fc

Remove builds incompatible with kernels >= 0.14

Browse files

This view is limited to 50 files because it contains too many changes. See raw diff

Files changed (50) hide show

build/torch210-cu128-x86_64-windows/__init__.py +0 -12
build/torch210-cu128-x86_64-windows/_cv_utils_cuda_0561e14.pyd +0 -3
build/torch210-cu128-x86_64-windows/_ops.py +0 -9
build/torch210-cu128-x86_64-windows/cv_utils/__init__.py +0 -26
build/torch210-cu128-x86_64-windows/metadata.json +0 -20
build/torch211-cu128-x86_64-windows/__init__.py +0 -12
build/torch211-cu128-x86_64-windows/_cv_utils_cuda_7a8255c.pyd +0 -3
build/torch211-cu128-x86_64-windows/_ops.py +0 -9
build/torch211-cu128-x86_64-windows/cv_utils/__init__.py +0 -26
build/torch211-cu128-x86_64-windows/metadata.json +0 -20
build/torch28-cxx11-cu126-x86_64-linux/__init__.py +0 -12
build/torch28-cxx11-cu126-x86_64-linux/_cv_utils_8541a33.abi3.so +0 -3
build/torch28-cxx11-cu126-x86_64-linux/_ops.py +0 -9
build/torch28-cxx11-cu126-x86_64-linux/cv_utils/__init__.py +0 -26
build/torch28-cxx11-cu126-x86_64-linux/metadata.json +0 -4
build/torch28-cxx11-cu128-x86_64-linux/__init__.py +0 -12
build/torch28-cxx11-cu128-x86_64-linux/_cv_utils_8541a33.abi3.so +0 -3
build/torch28-cxx11-cu128-x86_64-linux/_ops.py +0 -9
build/torch28-cxx11-cu128-x86_64-linux/cv_utils/__init__.py +0 -26
build/torch28-cxx11-cu128-x86_64-linux/metadata.json +0 -4
build/torch28-cxx11-cu129-x86_64-linux/__init__.py +0 -12
build/torch28-cxx11-cu129-x86_64-linux/_cv_utils_8541a33.abi3.so +0 -3
build/torch28-cxx11-cu129-x86_64-linux/_ops.py +0 -9
build/torch28-cxx11-cu129-x86_64-linux/cv_utils/__init__.py +0 -26
build/torch28-cxx11-cu129-x86_64-linux/metadata.json +0 -4
build/torch29-cxx11-cu126-aarch64-linux/__init__.py +0 -12
build/torch29-cxx11-cu126-aarch64-linux/_cv_utils_cuda_8cfc281.abi3.so +0 -3
build/torch29-cxx11-cu126-aarch64-linux/_ops.py +0 -9
build/torch29-cxx11-cu126-aarch64-linux/cv_utils/__init__.py +0 -26
build/torch29-cxx11-cu126-aarch64-linux/metadata.json +0 -17
build/torch29-cxx11-cu126-x86_64-linux/__init__.py +0 -12
build/torch29-cxx11-cu126-x86_64-linux/_cv_utils_cuda_8cfc281.abi3.so +0 -3
build/torch29-cxx11-cu126-x86_64-linux/_ops.py +0 -9
build/torch29-cxx11-cu126-x86_64-linux/cv_utils/__init__.py +0 -26
build/torch29-cxx11-cu126-x86_64-linux/metadata.json +0 -17
build/torch29-cxx11-cu128-aarch64-linux/__init__.py +0 -12
build/torch29-cxx11-cu128-aarch64-linux/_cv_utils_cuda_8cfc281.abi3.so +0 -3
build/torch29-cxx11-cu128-aarch64-linux/_ops.py +0 -9
build/torch29-cxx11-cu128-aarch64-linux/cv_utils/__init__.py +0 -26
build/torch29-cxx11-cu128-aarch64-linux/metadata.json +0 -20
build/torch29-cxx11-cu128-x86_64-linux/__init__.py +0 -12
build/torch29-cxx11-cu128-x86_64-linux/_cv_utils_cuda_8cfc281.abi3.so +0 -3
build/torch29-cxx11-cu128-x86_64-linux/_ops.py +0 -9
build/torch29-cxx11-cu128-x86_64-linux/cv_utils/__init__.py +0 -26
build/torch29-cxx11-cu128-x86_64-linux/metadata.json +0 -20
build/torch29-cxx11-cu129-aarch64-linux/__init__.py +0 -12
build/torch29-cxx11-cu129-aarch64-linux/_cv_utils_cuda_94115c0.abi3.so +0 -3
build/torch29-cxx11-cu129-aarch64-linux/_ops.py +0 -9
build/torch29-cxx11-cu129-aarch64-linux/cv_utils/__init__.py +0 -26
build/torch29-cxx11-cu129-aarch64-linux/metadata.json +0 -20

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

@@ -1,12 +0,0 @@
-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 DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:421b973a2ce02fe068ac5015ebb50d55a46abdb1f5eceb9f3dbc32383505be5b
-size 1782784

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

@@ -1,9 +0,0 @@
-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 DELETED Viewed

@@ -1,26 +0,0 @@
-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 DELETED Viewed

@@ -1,20 +0,0 @@
-{
-  "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-cu128-x86_64-windows/__init__.py DELETED Viewed

@@ -1,12 +0,0 @@
-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-cu128-x86_64-windows/_cv_utils_cuda_7a8255c.pyd DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4d18217da4761d4f540b786eeec370635ef8d12a4ce38882bcba972ec2b2f83f
-size 1783296

build/torch211-cu128-x86_64-windows/_ops.py DELETED Viewed

@@ -1,9 +0,0 @@
-import torch
-from . import _cv_utils_cuda_7a8255c
-ops = torch.ops._cv_utils_cuda_7a8255c
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_cv_utils_cuda_7a8255c::{op_name}"

build/torch211-cu128-x86_64-windows/cv_utils/__init__.py DELETED Viewed

@@ -1,26 +0,0 @@
-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-cu128-x86_64-windows/metadata.json DELETED Viewed

@@ -1,20 +0,0 @@
-{
-  "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/torch28-cxx11-cu126-x86_64-linux/__init__.py DELETED Viewed

@@ -1,12 +0,0 @@
-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/torch28-cxx11-cu126-x86_64-linux/_cv_utils_8541a33.abi3.so DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:965f12c73154f2a0713869b6efc763a46c8427705429893febeb5315eca44333
-size 3038768

build/torch28-cxx11-cu126-x86_64-linux/_ops.py DELETED Viewed

@@ -1,9 +0,0 @@
-import torch
-from . import _cv_utils_8541a33
-ops = torch.ops._cv_utils_8541a33
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_cv_utils_8541a33::{op_name}"

build/torch28-cxx11-cu126-x86_64-linux/cv_utils/__init__.py DELETED Viewed

@@ -1,26 +0,0 @@
-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/torch28-cxx11-cu126-x86_64-linux/metadata.json DELETED Viewed

@@ -1,4 +0,0 @@
-{
-  "version": 1,
-  "python-depends": []
-}

build/torch28-cxx11-cu128-x86_64-linux/__init__.py DELETED Viewed

@@ -1,12 +0,0 @@
-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/torch28-cxx11-cu128-x86_64-linux/_cv_utils_8541a33.abi3.so DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8cc8f3bb21c53b3e39cc1a05bb40b8944429523659dd12dfbb613f1fa8e1d578
-size 3720296

build/torch28-cxx11-cu128-x86_64-linux/_ops.py DELETED Viewed

@@ -1,9 +0,0 @@
-import torch
-from . import _cv_utils_8541a33
-ops = torch.ops._cv_utils_8541a33
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_cv_utils_8541a33::{op_name}"

build/torch28-cxx11-cu128-x86_64-linux/cv_utils/__init__.py DELETED Viewed

@@ -1,26 +0,0 @@
-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/torch28-cxx11-cu128-x86_64-linux/metadata.json DELETED Viewed

@@ -1,4 +0,0 @@
-{
-  "version": 1,
-  "python-depends": []
-}

build/torch28-cxx11-cu129-x86_64-linux/__init__.py DELETED Viewed

@@ -1,12 +0,0 @@
-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/torch28-cxx11-cu129-x86_64-linux/_cv_utils_8541a33.abi3.so DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3468fd8bd586ae6aee2e0f5d3c124f99fdd14c82823f4de07208505a4646c72e
-size 3688520

build/torch28-cxx11-cu129-x86_64-linux/_ops.py DELETED Viewed

@@ -1,9 +0,0 @@
-import torch
-from . import _cv_utils_8541a33
-ops = torch.ops._cv_utils_8541a33
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_cv_utils_8541a33::{op_name}"

build/torch28-cxx11-cu129-x86_64-linux/cv_utils/__init__.py DELETED Viewed

@@ -1,26 +0,0 @@
-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/torch28-cxx11-cu129-x86_64-linux/metadata.json DELETED Viewed

@@ -1,4 +0,0 @@
-{
-  "version": 1,
-  "python-depends": []
-}

build/torch29-cxx11-cu126-aarch64-linux/__init__.py DELETED Viewed

@@ -1,12 +0,0 @@
-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-cu126-aarch64-linux/_cv_utils_cuda_8cfc281.abi3.so DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:bb8cff7b3e4834dcedbac0058de07b8b9a50a72e3d73a591710994b27c58fba3
-size 3165512

build/torch29-cxx11-cu126-aarch64-linux/_ops.py DELETED Viewed

@@ -1,9 +0,0 @@
-import torch
-from . import _cv_utils_cuda_8cfc281
-ops = torch.ops._cv_utils_cuda_8cfc281
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_cv_utils_cuda_8cfc281::{op_name}"

build/torch29-cxx11-cu126-aarch64-linux/cv_utils/__init__.py DELETED Viewed

@@ -1,26 +0,0 @@
-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/torch29-cxx11-cu126-aarch64-linux/metadata.json DELETED Viewed

@@ -1,17 +0,0 @@
-{
-  "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/torch29-cxx11-cu126-x86_64-linux/__init__.py DELETED Viewed

@@ -1,12 +0,0 @@
-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-cu126-x86_64-linux/_cv_utils_cuda_8cfc281.abi3.so DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1d4c140f8e7922ff5068567f59977821d5163fa4f13c16d7f08f9b4eb83c353b
-size 3038896

build/torch29-cxx11-cu126-x86_64-linux/_ops.py DELETED Viewed

@@ -1,9 +0,0 @@
-import torch
-from . import _cv_utils_cuda_8cfc281
-ops = torch.ops._cv_utils_cuda_8cfc281
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_cv_utils_cuda_8cfc281::{op_name}"

build/torch29-cxx11-cu126-x86_64-linux/cv_utils/__init__.py DELETED Viewed

@@ -1,26 +0,0 @@
-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/torch29-cxx11-cu126-x86_64-linux/metadata.json DELETED Viewed

@@ -1,17 +0,0 @@
-{
-  "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/torch29-cxx11-cu128-aarch64-linux/__init__.py DELETED Viewed

@@ -1,12 +0,0 @@
-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-cu128-aarch64-linux/_cv_utils_cuda_8cfc281.abi3.so DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b8fa241565cfdede03164f1722d4e31307f9658aca61020deada6bed653e7a91
-size 3820720

build/torch29-cxx11-cu128-aarch64-linux/_ops.py DELETED Viewed

@@ -1,9 +0,0 @@
-import torch
-from . import _cv_utils_cuda_8cfc281
-ops = torch.ops._cv_utils_cuda_8cfc281
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_cv_utils_cuda_8cfc281::{op_name}"

build/torch29-cxx11-cu128-aarch64-linux/cv_utils/__init__.py DELETED Viewed

@@ -1,26 +0,0 @@
-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/torch29-cxx11-cu128-aarch64-linux/metadata.json DELETED Viewed

@@ -1,20 +0,0 @@
-{
-  "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/torch29-cxx11-cu128-x86_64-linux/__init__.py DELETED Viewed

@@ -1,12 +0,0 @@
-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-cu128-x86_64-linux/_cv_utils_cuda_8cfc281.abi3.so DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6de53c33d39f86713be4b3e6e7ebf1a4f193b69fdc8fd86ce326c1514982b774
-size 3724440

build/torch29-cxx11-cu128-x86_64-linux/_ops.py DELETED Viewed

@@ -1,9 +0,0 @@
-import torch
-from . import _cv_utils_cuda_8cfc281
-ops = torch.ops._cv_utils_cuda_8cfc281
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_cv_utils_cuda_8cfc281::{op_name}"

build/torch29-cxx11-cu128-x86_64-linux/cv_utils/__init__.py DELETED Viewed

@@ -1,26 +0,0 @@
-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/torch29-cxx11-cu128-x86_64-linux/metadata.json DELETED Viewed

@@ -1,20 +0,0 @@
-{
-  "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/torch29-cxx11-cu129-aarch64-linux/__init__.py DELETED Viewed

@@ -1,12 +0,0 @@
-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_94115c0.abi3.so DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:22967a9185ffc4ad8923ff45418776d5a00d6c7a733ed5d856290c9208c62ba1
-size 3822096

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

@@ -1,9 +0,0 @@
-import torch
-from . import _cv_utils_cuda_94115c0
-ops = torch.ops._cv_utils_cuda_94115c0
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_cv_utils_cuda_94115c0::{op_name}"

build/torch29-cxx11-cu129-aarch64-linux/cv_utils/__init__.py DELETED Viewed

@@ -1,26 +0,0 @@
-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 DELETED Viewed

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