Remove builds incompatible with kernels >= 0.14

Files changed (12) hide show

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

@@ -1,3 +0,0 @@
-from .custom_ops import gemm_4bit_forward
-__all__ = ["gemm_4bit_forward"]

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

@@ -1,9 +0,0 @@
-import torch
-from . import _quantization_bitsandbytes_9739e82
-ops = torch.ops._quantization_bitsandbytes_9739e82
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_quantization_bitsandbytes_9739e82::{op_name}"

build/torch28-cxx11-cpu-x86_64-linux/_quantization_bitsandbytes_9739e82.abi3.so DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7a689c4fe7a2ac4529c5ee6eebeb714eb79160c1fde23e9b13600e8f10c96ffe
-size 141024

build/torch28-cxx11-cpu-x86_64-linux/custom_ops.py DELETED Viewed

@@ -1,19 +0,0 @@
-import torch
-from ._ops import ops
-def gemm_4bit_forward(
-    input: torch.Tensor,
-    weight: torch.Tensor,
-    absmax: torch.Tensor,
-    blocksize: int,
-    quant_type: int,
-) -> torch.Tensor:
-    original_dtype = input.dtype
-    if original_dtype != torch.bfloat16:
-        input = input.to(torch.bfloat16)
-    output = ops.gemm_4bit_forward(input, weight, absmax, blocksize, quant_type)
-    if original_dtype != torch.bfloat16:
-        output = output.to(original_dtype)
-    return output

build/torch28-cxx11-cpu-x86_64-linux/metadata.json DELETED Viewed

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

build/torch28-cxx11-cpu-x86_64-linux/quantization_bitsandbytes/__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-cpu-x86_64-linux/__init__.py DELETED Viewed

@@ -1,3 +0,0 @@
-from .custom_ops import gemm_4bit_forward
-__all__ = ["gemm_4bit_forward"]

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

@@ -1,9 +0,0 @@
-import torch
-from . import _quantization_bitsandbytes_cpu_3c456c8
-ops = torch.ops._quantization_bitsandbytes_cpu_3c456c8
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_quantization_bitsandbytes_cpu_3c456c8::{op_name}"

build/torch29-cxx11-cpu-x86_64-linux/_quantization_bitsandbytes_cpu_3c456c8.abi3.so DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8892fa05e9e4e6c4dc3b91b8813376472226a2b0d857327c1daf864cc5aae3b1
-size 1988192

build/torch29-cxx11-cpu-x86_64-linux/custom_ops.py DELETED Viewed

@@ -1,19 +0,0 @@
-import torch
-from ._ops import ops
-def gemm_4bit_forward(
-    input: torch.Tensor,
-    weight: torch.Tensor,
-    absmax: torch.Tensor,
-    blocksize: int,
-    quant_type: int,
-) -> torch.Tensor:
-    original_dtype = input.dtype
-    if original_dtype != torch.bfloat16:
-        input = input.to(torch.bfloat16)
-    output = ops.gemm_4bit_forward(input, weight, absmax, blocksize, quant_type)
-    if original_dtype != torch.bfloat16:
-        output = output.to(original_dtype)
-    return output

build/torch29-cxx11-cpu-x86_64-linux/metadata.json DELETED Viewed

@@ -1,5 +0,0 @@
-{
-  "version": 1,
-  "license": "MIT",
-  "python-depends": []
-}

build/torch29-cxx11-cpu-x86_64-linux/quantization_bitsandbytes/__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")))