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Uploaded using `kernel-builder` (batch 1/9).
Browse files- .gitattributes +1 -0
- build/torch212-cxx11-cu130-x86_64-linux/__init__.py +6 -3
- build/torch212-cxx11-cu130-x86_64-linux/{_deep_gemm_cuda_8a730d9.abi3.so → _deep_gemm_cuda_addf474.abi3.so} +1 -1
- build/torch212-cxx11-cu130-x86_64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu130-x86_64-linux/deep_gemm/__init__.py +0 -26
- build/torch212-cxx11-cu132-x86_64-linux/_deep_gemm_cuda_8a730d9.abi3.so +0 -3
- build/torch212-cxx11-cu132-x86_64-linux/deep_gemm/__init__.py +0 -26
- build/torch213-cxx11-cu130-x86_64-linux/_deep_gemm_cuda_8a730d9.abi3.so +0 -3
- build/torch213-cxx11-cu130-x86_64-linux/deep_gemm/__init__.py +0 -26
- build/torch213-cxx11-cu132-x86_64-linux/_deep_gemm_cuda_8a730d9.abi3.so +0 -3
- build/torch213-cxx11-cu132-x86_64-linux/deep_gemm/__init__.py +0 -26
.gitattributes
CHANGED
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@@ -98,3 +98,4 @@ build/torch212-cxx11-cu130-x86_64-linux/_deep_gemm_cuda_8a730d9.abi3.so filter=l
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build/torch212-cxx11-cu132-x86_64-linux/_deep_gemm_cuda_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu130-x86_64-linux/_deep_gemm_cuda_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu132-x86_64-linux/_deep_gemm_cuda_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch212-cxx11-cu132-x86_64-linux/_deep_gemm_cuda_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu130-x86_64-linux/_deep_gemm_cuda_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu132-x86_64-linux/_deep_gemm_cuda_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text
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+
build/torch212-cxx11-cu130-x86_64-linux/_deep_gemm_cuda_addf474.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch212-cxx11-cu130-x86_64-linux/__init__.py
CHANGED
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@@ -10,6 +10,7 @@ os.environ.setdefault("DG_USE_TEMP_CUBLASLT_WORKSPACE", "1")
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# Import the compiled extension
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from ._ops import ops as _ops, add_op_namespace_prefix
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from . import utils
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__version__ = "2.5.0"
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cuda_home = os.path.dirname(os.path.dirname(nvcc))
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except Exception:
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cuda_home = "/usr/local/cuda"
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return cuda_home
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# Import the compiled extension
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from ._ops import ops as _ops, add_op_namespace_prefix
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from . import testing
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from . import utils
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__version__ = "2.5.0"
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cuda_home = os.path.dirname(os.path.dirname(nvcc))
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except Exception:
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cuda_home = "/usr/local/cuda"
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# Only the runtime JIT compiler needs a CUDA toolkit. The cuBLASLt GEMMs, the
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# runtime configuration surface and the layout fast paths compile nothing, so
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# a missing toolkit must not fail here -- `init()` only records the path.
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# Return the conventional location and let the JIT compiler report the
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# missing `nvcc` if it is ever reached.
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return cuda_home
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build/torch212-cxx11-cu130-x86_64-linux/{_deep_gemm_cuda_8a730d9.abi3.so → _deep_gemm_cuda_addf474.abi3.so}
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 1464296
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version https://git-lfs.github.com/spec/v1
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oid sha256:69f642e9d7709cbc69a560608bcf900df801abbec42f9673647e2fedf2d693fd
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size 1464296
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build/torch212-cxx11-cu130-x86_64-linux/_ops.py
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@@ -1,9 +1,9 @@
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import torch
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from . import
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ops = torch.ops.
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def add_op_namespace_prefix(op_name: str):
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"""
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Prefix op by namespace.
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"""
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return f"
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import torch
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from . import _deep_gemm_cuda_addf474
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ops = torch.ops._deep_gemm_cuda_addf474
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def add_op_namespace_prefix(op_name: str):
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"""
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Prefix op by namespace.
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"""
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return f"_deep_gemm_cuda_addf474::{op_name}"
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build/torch212-cxx11-cu130-x86_64-linux/deep_gemm/__init__.py
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import ctypes
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import importlib.util
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import sys
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from pathlib import Path
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from types import ModuleType
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def _import_from_path(file_path: Path) -> ModuleType:
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# We cannot use the module name as-is, after adding it to `sys.modules`,
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# it would also be used for other imports. So, we make a module name that
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# depends on the path for it to be unique using the hex-encoded hash of
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# the path.
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path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
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module_name = path_hash
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spec = importlib.util.spec_from_file_location(module_name, file_path)
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if spec is None:
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raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
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module = importlib.util.module_from_spec(spec)
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if module is None:
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raise ImportError(f"Cannot load module {module_name} from spec")
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sys.modules[module_name] = module
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spec.loader.exec_module(module) # type: ignore
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return module
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globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
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version https://git-lfs.github.com/spec/v1
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oid sha256:5fe1f6975c4e37597e086587d9980700dbafaaf265a22b8ac522b91990163e1e
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build/torch212-cxx11-cu132-x86_64-linux/deep_gemm/__init__.py
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import ctypes
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import importlib.util
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import sys
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from pathlib import Path
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from types import ModuleType
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def _import_from_path(file_path: Path) -> ModuleType:
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# We cannot use the module name as-is, after adding it to `sys.modules`,
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# it would also be used for other imports. So, we make a module name that
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# depends on the path for it to be unique using the hex-encoded hash of
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# the path.
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path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
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module_name = path_hash
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spec = importlib.util.spec_from_file_location(module_name, file_path)
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raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
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module = importlib.util.module_from_spec(spec)
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if module is None:
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raise ImportError(f"Cannot load module {module_name} from spec")
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sys.modules[module_name] = module
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spec.loader.exec_module(module) # type: ignore
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return module
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globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a04ac32dd6f87f2a8b82d8fc461f2e044e66b27aba6f37e7dc229e1a9bf47a7
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size 1464048
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build/torch213-cxx11-cu130-x86_64-linux/deep_gemm/__init__.py
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import ctypes
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import importlib.util
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import sys
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from pathlib import Path
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from types import ModuleType
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def _import_from_path(file_path: Path) -> ModuleType:
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# We cannot use the module name as-is, after adding it to `sys.modules`,
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-
# it would also be used for other imports. So, we make a module name that
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-
# depends on the path for it to be unique using the hex-encoded hash of
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-
# the path.
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-
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
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-
module_name = path_hash
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spec = importlib.util.spec_from_file_location(module_name, file_path)
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if spec is None:
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raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
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module = importlib.util.module_from_spec(spec)
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if module is None:
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raise ImportError(f"Cannot load module {module_name} from spec")
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sys.modules[module_name] = module
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spec.loader.exec_module(module) # type: ignore
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return module
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globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
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build/torch213-cxx11-cu132-x86_64-linux/_deep_gemm_cuda_8a730d9.abi3.so
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version https://git-lfs.github.com/spec/v1
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oid sha256:50134f6ff50451c459d857de243969084c8805c79621efb9873abe6631b9a2fc
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size 1474080
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build/torch213-cxx11-cu132-x86_64-linux/deep_gemm/__init__.py
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import ctypes
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import importlib.util
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import sys
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from pathlib import Path
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from types import ModuleType
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def _import_from_path(file_path: Path) -> ModuleType:
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# We cannot use the module name as-is, after adding it to `sys.modules`,
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-
# it would also be used for other imports. So, we make a module name that
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-
# depends on the path for it to be unique using the hex-encoded hash of
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# the path.
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path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
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module_name = path_hash
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spec = importlib.util.spec_from_file_location(module_name, file_path)
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if spec is None:
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raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
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module = importlib.util.module_from_spec(spec)
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if module is None:
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raise ImportError(f"Cannot load module {module_name} from spec")
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sys.modules[module_name] = module
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spec.loader.exec_module(module) # type: ignore
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return module
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globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
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