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xet

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danieldk HF Staff commited on 19 days ago

Commit

7f394f2

1 Parent(s): 234b8fc

Remove builds incompatible with kernels >= 0.14

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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 -52
build/torch210-cu128-x86_64-windows/_ops.py +0 -9
build/torch210-cu128-x86_64-windows/_rotary_cuda_07a01e5.pyd +0 -3
build/torch210-cu128-x86_64-windows/metadata.json +0 -21
build/torch210-cu128-x86_64-windows/rotary/__init__.py +0 -26
build/torch210-xpu20253-x86_64-windows/__init__.py +0 -52
build/torch210-xpu20253-x86_64-windows/_ops.py +0 -9
build/torch210-xpu20253-x86_64-windows/_rotary_xpu_37bc3e0.pyd +0 -3
build/torch210-xpu20253-x86_64-windows/metadata.json +0 -8
build/torch210-xpu20253-x86_64-windows/rotary/__init__.py +0 -26
build/torch211-cu128-x86_64-windows/__init__.py +0 -52
build/torch211-cu128-x86_64-windows/_ops.py +0 -9
build/torch211-cu128-x86_64-windows/_rotary_cuda_37bc3e0.pyd +0 -3
build/torch211-cu128-x86_64-windows/metadata.json +0 -21
build/torch211-cu128-x86_64-windows/rotary/__init__.py +0 -26
build/torch26-cxx11-cu126-aarch64-linux/rotary/__init__.py +0 -19
build/torch26-cxx11-cu126-aarch64-linux/rotary/_ops.py +0 -9
build/torch26-cxx11-cu126-aarch64-linux/rotary/_rotary_6b8e81d.abi3.so +0 -3
build/torch26-cxx98-cu126-aarch64-linux/rotary/__init__.py +0 -19
build/torch26-cxx98-cu126-aarch64-linux/rotary/_ops.py +0 -9
build/torch26-cxx98-cu126-aarch64-linux/rotary/_rotary_6b8e81d.abi3.so +0 -3
build/torch27-cxx11-cu118-x86_64-linux/rotary/__init__.py +0 -19
build/torch27-cxx11-cu118-x86_64-linux/rotary/__pycache__/__init__.cpython-313.pyc +0 -0
build/torch27-cxx11-cu118-x86_64-linux/rotary/__pycache__/_ops.cpython-313.pyc +0 -0
build/torch27-cxx11-cu118-x86_64-linux/rotary/_ops.py +0 -9
build/torch27-cxx11-cu118-x86_64-linux/rotary/_rotary_98ffc18.abi3.so +0 -3
build/torch27-cxx11-cu126-aarch64-linux/rotary/__init__.py +0 -19
build/torch27-cxx11-cu126-aarch64-linux/rotary/_ops.py +0 -9
build/torch27-cxx11-cu126-aarch64-linux/rotary/_rotary_6b8e81d.abi3.so +0 -3
build/torch27-cxx11-cu126-x86_64-linux/rotary/__init__.py +0 -19
build/torch27-cxx11-cu126-x86_64-linux/rotary/__pycache__/__init__.cpython-313.pyc +0 -0
build/torch27-cxx11-cu126-x86_64-linux/rotary/__pycache__/_ops.cpython-313.pyc +0 -0
build/torch27-cxx11-cu126-x86_64-linux/rotary/_ops.py +0 -9
build/torch27-cxx11-cu126-x86_64-linux/rotary/_rotary_98ffc18.abi3.so +0 -3
build/torch27-cxx11-cu128-aarch64-linux/rotary/__init__.py +0 -19
build/torch27-cxx11-cu128-aarch64-linux/rotary/__pycache__/__init__.cpython-313.pyc +0 -0
build/torch27-cxx11-cu128-aarch64-linux/rotary/__pycache__/_ops.cpython-313.pyc +0 -0
build/torch27-cxx11-cu128-aarch64-linux/rotary/_ops.py +0 -9
build/torch27-cxx11-cu128-aarch64-linux/rotary/_rotary_6abd2a8.abi3.so +0 -3
build/torch27-cxx11-cu128-x86_64-linux/rotary/__init__.py +0 -19
build/torch27-cxx11-cu128-x86_64-linux/rotary/__pycache__/__init__.cpython-313.pyc +0 -0
build/torch27-cxx11-cu128-x86_64-linux/rotary/__pycache__/_ops.cpython-313.pyc +0 -0
build/torch27-cxx11-cu128-x86_64-linux/rotary/_ops.py +0 -9
build/torch27-cxx11-cu128-x86_64-linux/rotary/_rotary_98ffc18.abi3.so +0 -3
build/torch27-cxx11-xpu20250-x86_64-linux/rotary/__init__.py +0 -19
build/torch27-cxx11-xpu20250-x86_64-linux/rotary/__pycache__/__init__.cpython-313.pyc +0 -0
build/torch27-cxx11-xpu20250-x86_64-linux/rotary/__pycache__/_ops.cpython-313.pyc +0 -0
build/torch27-cxx11-xpu20250-x86_64-linux/rotary/_ops.py +0 -9
build/torch27-cxx11-xpu20250-x86_64-linux/rotary/_rotary_98ffc18.abi3.so +0 -3
build/torch28-cxx11-cu126-aarch64-linux/rotary/__init__.py +0 -19

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

@@ -1,52 +0,0 @@
-from typing import Optional, Tuple
-import torch
-from ._ops import ops
-def apply_rotary(
-    x1: torch.Tensor,
-    x2: torch.Tensor,
-    cos: torch.Tensor,
-    sin: torch.Tensor,
-    out1: torch.Tensor,
-    out2: torch.Tensor,
-    conj: bool,
-) -> None:
-    ops.apply_rotary(x1, x2, cos, sin, out1, out2, conj)
-def apply_rotary_transformers(
-    q: torch.Tensor,
-    k: torch.Tensor,
-    cos: torch.Tensor,
-    sin: torch.Tensor,
-    unsqueeze_dim: int = 1,
-) -> Tuple[torch.Tensor, torch.Tensor]:
-    """
-    Rotary kernel implementation wrapper
-    Adapts rotary kernel implementation to match transformers apply_rotary_pos_emb signature
-    """
-    cos = cos.unsqueeze(unsqueeze_dim)
-    sin = sin.unsqueeze(unsqueeze_dim)
-    q_rotated = q.clone()
-    k_rotated = k.clone()
-    # Get half dimension for rotation
-    half_dim = q.shape[-1] // 2
-    q1 = q_rotated[..., :half_dim]
-    q2 = q_rotated[..., half_dim:]
-    k1 = k_rotated[..., :half_dim]
-    k2 = k_rotated[..., half_dim:]
-    if cos.shape[-1] != half_dim:
-        # Trim cos/sin to match half_dim
-        cos = cos[..., :half_dim]
-        sin = sin[..., :half_dim]
-    apply_rotary(q1, q2, cos, sin, q1, q2, False)
-    apply_rotary(k1, k2, cos, sin, k1, k2, False)
-    return q_rotated, k_rotated
-__all__ = ["apply_rotary", "apply_rotary_transformers"]

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

@@ -1,9 +0,0 @@
-import torch
-from . import _rotary_cuda_07a01e5
-ops = torch.ops._rotary_cuda_07a01e5
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_rotary_cuda_07a01e5::{op_name}"

build/torch210-cu128-x86_64-windows/_rotary_cuda_07a01e5.pyd DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:fd29928a6e2a3930f4c7ec3bcffc37574981cf59bed97e6a8f3c522fa7ca0dda
-size 10415616

build/torch210-cu128-x86_64-windows/metadata.json DELETED Viewed

@@ -1,21 +0,0 @@
-{
-  "version": 1,
-  "license": "BSD-3-Clause",
-  "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-cu128-x86_64-windows/rotary/__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-xpu20253-x86_64-windows/__init__.py DELETED Viewed

@@ -1,52 +0,0 @@
-from typing import Optional, Tuple
-import torch
-from ._ops import ops
-def apply_rotary(
-    x1: torch.Tensor,
-    x2: torch.Tensor,
-    cos: torch.Tensor,
-    sin: torch.Tensor,
-    out1: torch.Tensor,
-    out2: torch.Tensor,
-    conj: bool,
-) -> None:
-    ops.apply_rotary(x1, x2, cos, sin, out1, out2, conj)
-def apply_rotary_transformers(
-    q: torch.Tensor,
-    k: torch.Tensor,
-    cos: torch.Tensor,
-    sin: torch.Tensor,
-    unsqueeze_dim: int = 1,
-) -> Tuple[torch.Tensor, torch.Tensor]:
-    """
-    Rotary kernel implementation wrapper
-    Adapts rotary kernel implementation to match transformers apply_rotary_pos_emb signature
-    """
-    cos = cos.unsqueeze(unsqueeze_dim)
-    sin = sin.unsqueeze(unsqueeze_dim)
-    q_rotated = q.clone()
-    k_rotated = k.clone()
-    # Get half dimension for rotation
-    half_dim = q.shape[-1] // 2
-    q1 = q_rotated[..., :half_dim]
-    q2 = q_rotated[..., half_dim:]
-    k1 = k_rotated[..., :half_dim]
-    k2 = k_rotated[..., half_dim:]
-    if cos.shape[-1] != half_dim:
-        # Trim cos/sin to match half_dim
-        cos = cos[..., :half_dim]
-        sin = sin[..., :half_dim]
-    apply_rotary(q1, q2, cos, sin, q1, q2, False)
-    apply_rotary(k1, k2, cos, sin, k1, k2, False)
-    return q_rotated, k_rotated
-__all__ = ["apply_rotary", "apply_rotary_transformers"]

build/torch210-xpu20253-x86_64-windows/_ops.py DELETED Viewed

@@ -1,9 +0,0 @@
-import torch
-from . import _rotary_xpu_37bc3e0
-ops = torch.ops._rotary_xpu_37bc3e0
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_rotary_xpu_37bc3e0::{op_name}"

build/torch210-xpu20253-x86_64-windows/_rotary_xpu_37bc3e0.pyd DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6e461cfac416da7ae0680602d02f96bdc0abc1ea2da5e216d087b15a55f40495
-size 396288

build/torch210-xpu20253-x86_64-windows/metadata.json DELETED Viewed

@@ -1,8 +0,0 @@
-{
-  "version": 1,
-  "license": "BSD-3-Clause",
-  "python-depends": [],
-  "backend": {
-    "type": "xpu"
-  }
-}

build/torch210-xpu20253-x86_64-windows/rotary/__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/__init__.py DELETED Viewed

@@ -1,52 +0,0 @@
-from typing import Optional, Tuple
-import torch
-from ._ops import ops
-def apply_rotary(
-    x1: torch.Tensor,
-    x2: torch.Tensor,
-    cos: torch.Tensor,
-    sin: torch.Tensor,
-    out1: torch.Tensor,
-    out2: torch.Tensor,
-    conj: bool,
-) -> None:
-    ops.apply_rotary(x1, x2, cos, sin, out1, out2, conj)
-def apply_rotary_transformers(
-    q: torch.Tensor,
-    k: torch.Tensor,
-    cos: torch.Tensor,
-    sin: torch.Tensor,
-    unsqueeze_dim: int = 1,
-) -> Tuple[torch.Tensor, torch.Tensor]:
-    """
-    Rotary kernel implementation wrapper
-    Adapts rotary kernel implementation to match transformers apply_rotary_pos_emb signature
-    """
-    cos = cos.unsqueeze(unsqueeze_dim)
-    sin = sin.unsqueeze(unsqueeze_dim)
-    q_rotated = q.clone()
-    k_rotated = k.clone()
-    # Get half dimension for rotation
-    half_dim = q.shape[-1] // 2
-    q1 = q_rotated[..., :half_dim]
-    q2 = q_rotated[..., half_dim:]
-    k1 = k_rotated[..., :half_dim]
-    k2 = k_rotated[..., half_dim:]
-    if cos.shape[-1] != half_dim:
-        # Trim cos/sin to match half_dim
-        cos = cos[..., :half_dim]
-        sin = sin[..., :half_dim]
-    apply_rotary(q1, q2, cos, sin, q1, q2, False)
-    apply_rotary(k1, k2, cos, sin, k1, k2, False)
-    return q_rotated, k_rotated
-__all__ = ["apply_rotary", "apply_rotary_transformers"]

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

@@ -1,9 +0,0 @@
-import torch
-from . import _rotary_cuda_37bc3e0
-ops = torch.ops._rotary_cuda_37bc3e0
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_rotary_cuda_37bc3e0::{op_name}"

build/torch211-cu128-x86_64-windows/_rotary_cuda_37bc3e0.pyd DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4a1544b07c480463ec834e7bdbd3dbc41c4061e2febeef35dc358dd3083b8d0a
-size 10416128

build/torch211-cu128-x86_64-windows/metadata.json DELETED Viewed

@@ -1,21 +0,0 @@
-{
-  "version": 1,
-  "license": "BSD-3-Clause",
-  "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/rotary/__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/torch26-cxx11-cu126-aarch64-linux/rotary/__init__.py DELETED Viewed

@@ -1,19 +0,0 @@
-from typing import Tuple
-import torch
-from ._ops import ops
-def apply_rotary(
-    x1: torch.Tensor,
-    x2: torch.Tensor,
-    cos: torch.Tensor,
-    sin: torch.Tensor,
-    out1: torch.Tensor,
-    out2: torch.Tensor,
-    conj: bool,
-):
-    ops.apply_rotary(x1, x2, cos, sin, out1, out2, conj)
-__all__ = ["apply_rotary"]

build/torch26-cxx11-cu126-aarch64-linux/rotary/_ops.py DELETED Viewed

@@ -1,9 +0,0 @@
-import torch
-from . import _rotary_6b8e81d
-ops = torch.ops._rotary_6b8e81d
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_rotary_6b8e81d::{op_name}"

build/torch26-cxx11-cu126-aarch64-linux/rotary/_rotary_6b8e81d.abi3.so DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:91e09bffe6812e5fbf856a01a164bc41c4eb3f49e2102c723c20d695025a34e9
-size 4543712

build/torch26-cxx98-cu126-aarch64-linux/rotary/__init__.py DELETED Viewed

@@ -1,19 +0,0 @@
-from typing import Tuple
-import torch
-from ._ops import ops
-def apply_rotary(
-    x1: torch.Tensor,
-    x2: torch.Tensor,
-    cos: torch.Tensor,
-    sin: torch.Tensor,
-    out1: torch.Tensor,
-    out2: torch.Tensor,
-    conj: bool,
-):
-    ops.apply_rotary(x1, x2, cos, sin, out1, out2, conj)
-__all__ = ["apply_rotary"]

build/torch26-cxx98-cu126-aarch64-linux/rotary/_ops.py DELETED Viewed

@@ -1,9 +0,0 @@
-import torch
-from . import _rotary_6b8e81d
-ops = torch.ops._rotary_6b8e81d
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_rotary_6b8e81d::{op_name}"

build/torch26-cxx98-cu126-aarch64-linux/rotary/_rotary_6b8e81d.abi3.so DELETED Viewed

@@ -1,3 +0,0 @@
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-size 4540224

build/torch27-cxx11-cu118-x86_64-linux/rotary/__init__.py DELETED Viewed

@@ -1,19 +0,0 @@
-from typing import Tuple
-import torch
-from ._ops import ops
-def apply_rotary(
-    x1: torch.Tensor,
-    x2: torch.Tensor,
-    cos: torch.Tensor,
-    sin: torch.Tensor,
-    out1: torch.Tensor,
-    out2: torch.Tensor,
-    conj: bool,
-):
-    ops.apply_rotary(x1, x2, cos, sin, out1, out2, conj)
-__all__ = ["apply_rotary"]

build/torch27-cxx11-cu118-x86_64-linux/rotary/__pycache__/__init__.cpython-313.pyc DELETED Viewed

Binary file (812 Bytes)

build/torch27-cxx11-cu118-x86_64-linux/rotary/__pycache__/_ops.cpython-313.pyc DELETED Viewed

Binary file (514 Bytes)

build/torch27-cxx11-cu118-x86_64-linux/rotary/_ops.py DELETED Viewed

@@ -1,9 +0,0 @@
-import torch
-from . import _rotary_98ffc18
-ops = torch.ops._rotary_98ffc18
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_rotary_98ffc18::{op_name}"

build/torch27-cxx11-cu118-x86_64-linux/rotary/_rotary_98ffc18.abi3.so DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:030e76c6ee0921ae7ada04dfe14fceb8a4454e794ddf9ce68f29a32e7075c9be
-size 6807656

build/torch27-cxx11-cu126-aarch64-linux/rotary/__init__.py DELETED Viewed

@@ -1,19 +0,0 @@
-from typing import Tuple
-import torch
-from ._ops import ops
-def apply_rotary(
-    x1: torch.Tensor,
-    x2: torch.Tensor,
-    cos: torch.Tensor,
-    sin: torch.Tensor,
-    out1: torch.Tensor,
-    out2: torch.Tensor,
-    conj: bool,
-):
-    ops.apply_rotary(x1, x2, cos, sin, out1, out2, conj)
-__all__ = ["apply_rotary"]

build/torch27-cxx11-cu126-aarch64-linux/rotary/_ops.py DELETED Viewed

@@ -1,9 +0,0 @@
-import torch
-from . import _rotary_6b8e81d
-ops = torch.ops._rotary_6b8e81d
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_rotary_6b8e81d::{op_name}"

build/torch27-cxx11-cu126-aarch64-linux/rotary/_rotary_6b8e81d.abi3.so DELETED Viewed

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-    x1: torch.Tensor,
-    x2: torch.Tensor,
-    cos: torch.Tensor,
-    sin: torch.Tensor,
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-import torch
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-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
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-    cos: torch.Tensor,
-    sin: torch.Tensor,
-    out1: torch.Tensor,
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-    """
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-    """
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-    cos: torch.Tensor,
-    sin: torch.Tensor,
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-    x2: torch.Tensor,
-    cos: torch.Tensor,
-    sin: torch.Tensor,
-    out1: torch.Tensor,
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