Kernels:
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Uploaded using `kernel-builder`.
Browse files- build/torch212-cxx11-cu126-aarch64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu126-aarch64-linux/{_rotary_cuda_83d35ad.abi3.so → _rotary_cuda_addf474.abi3.so} +1 -1
- build/torch212-cxx11-cu126-aarch64-linux/metadata.json +7 -7
- build/torch212-cxx11-cu126-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch212-cxx11-cu126-aarch64-linux/rotary/__init__.py +0 -26
- build/torch212-cxx11-cu130-aarch64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu130-aarch64-linux/{_rotary_cuda_83d35ad.abi3.so → _rotary_cuda_addf474.abi3.so} +2 -2
- build/torch212-cxx11-cu130-aarch64-linux/metadata.json +8 -7
- build/torch212-cxx11-cu130-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch212-cxx11-cu130-aarch64-linux/rotary/__init__.py +0 -26
- build/torch212-cxx11-cu132-aarch64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu132-aarch64-linux/_rotary_cuda_addf474.abi3.so +3 -0
- build/torch212-cxx11-cu132-aarch64-linux/metadata.json +8 -7
- build/torch212-cxx11-cu132-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch212-cxx11-cu132-aarch64-linux/rotary/__init__.py +0 -26
- build/torch213-cxx11-cu126-aarch64-linux/_ops.py +3 -3
- build/torch213-cxx11-cu126-aarch64-linux/{_rotary_cuda_83d35ad.abi3.so → _rotary_cuda_addf474.abi3.so} +1 -1
- build/torch213-cxx11-cu126-aarch64-linux/metadata.json +7 -7
- build/torch213-cxx11-cu126-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch213-cxx11-cu126-aarch64-linux/rotary/__init__.py +0 -26
- build/torch213-cxx11-cu130-aarch64-linux/_ops.py +3 -3
- build/torch213-cxx11-cu130-aarch64-linux/_rotary_cuda_83d35ad.abi3.so +0 -3
- build/torch213-cxx11-cu130-aarch64-linux/_rotary_cuda_addf474.abi3.so +3 -0
- build/torch213-cxx11-cu130-aarch64-linux/metadata.json +8 -7
- build/torch213-cxx11-cu130-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch213-cxx11-cu130-aarch64-linux/rotary/__init__.py +0 -26
- build/torch213-cxx11-cu132-aarch64-linux/_ops.py +3 -3
- build/torch213-cxx11-cu132-aarch64-linux/_rotary_cuda_83d35ad.abi3.so +0 -3
- build/torch213-cxx11-cu132-aarch64-linux/_rotary_cuda_addf474.abi3.so +3 -0
- build/torch213-cxx11-cu132-aarch64-linux/metadata.json +8 -7
- build/torch213-cxx11-cu132-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch213-cxx11-cu132-aarch64-linux/rotary/__init__.py +0 -26
- build/torch214-cxx11-cu126-aarch64-linux/__init__.py +57 -0
- build/torch214-cxx11-cu126-aarch64-linux/_ops.py +9 -0
- build/{torch212-cxx11-cu132-aarch64-linux/_rotary_cuda_83d35ad.abi3.so → torch214-cxx11-cu126-aarch64-linux/_rotary_cuda_addf474.abi3.so} +2 -2
- build/torch214-cxx11-cu126-aarch64-linux/layers.py +41 -0
- build/torch214-cxx11-cu126-aarch64-linux/metadata.json +41 -0
- build/torch214-cxx11-cu126-aarch64-linux/metadata.json.sigstore +1 -0
- build/torch214-cxx11-cu130-aarch64-linux/__init__.py +57 -0
- build/torch214-cxx11-cu130-aarch64-linux/_ops.py +9 -0
- build/torch214-cxx11-cu130-aarch64-linux/_rotary_cuda_addf474.abi3.so +3 -0
- build/torch214-cxx11-cu130-aarch64-linux/layers.py +41 -0
- build/torch214-cxx11-cu130-aarch64-linux/metadata.json +44 -0
- build/torch214-cxx11-cu130-aarch64-linux/metadata.json.sigstore +1 -0
- build/torch214-cxx11-cu132-aarch64-linux/__init__.py +57 -0
- build/torch214-cxx11-cu132-aarch64-linux/_ops.py +9 -0
- build/torch214-cxx11-cu132-aarch64-linux/_rotary_cuda_addf474.abi3.so +3 -0
- build/torch214-cxx11-cu132-aarch64-linux/layers.py +41 -0
- build/torch214-cxx11-cu132-aarch64-linux/metadata.json +44 -0
- build/torch214-cxx11-cu132-aarch64-linux/metadata.json.sigstore +1 -0
build/torch212-cxx11-cu126-aarch64-linux/_ops.py
CHANGED
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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 _rotary_cuda_addf474
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+
ops = torch.ops._rotary_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"_rotary_cuda_addf474::{op_name}"
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build/torch212-cxx11-cu126-aarch64-linux/{_rotary_cuda_83d35ad.abi3.so → _rotary_cuda_addf474.abi3.so}
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build/torch212-cxx11-cu126-aarch64-linux/metadata.json
CHANGED
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build/torch212-cxx11-cu126-aarch64-linux/metadata.json.sigstore
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|
build/torch212-cxx11-cu126-aarch64-linux/rotary/__init__.py
DELETED
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@@ -1,26 +0,0 @@
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| 1 |
-
import ctypes
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| 2 |
-
import importlib.util
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| 3 |
-
import sys
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| 4 |
-
from pathlib import Path
|
| 5 |
-
from types import ModuleType
|
| 6 |
-
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| 7 |
-
|
| 8 |
-
def _import_from_path(file_path: Path) -> ModuleType:
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| 9 |
-
# We cannot use the module name as-is, after adding it to `sys.modules`,
|
| 10 |
-
# it would also be used for other imports. So, we make a module name that
|
| 11 |
-
# depends on the path for it to be unique using the hex-encoded hash of
|
| 12 |
-
# the path.
|
| 13 |
-
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 14 |
-
module_name = path_hash
|
| 15 |
-
spec = importlib.util.spec_from_file_location(module_name, file_path)
|
| 16 |
-
if spec is None:
|
| 17 |
-
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
|
| 18 |
-
module = importlib.util.module_from_spec(spec)
|
| 19 |
-
if module is None:
|
| 20 |
-
raise ImportError(f"Cannot load module {module_name} from spec")
|
| 21 |
-
sys.modules[module_name] = module
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| 22 |
-
spec.loader.exec_module(module) # type: ignore
|
| 23 |
-
return module
|
| 24 |
-
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| 25 |
-
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| 26 |
-
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
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build/torch212-cxx11-cu130-aarch64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
import torch
|
| 2 |
-
from . import
|
| 3 |
-
ops = torch.ops.
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _rotary_cuda_addf474
|
| 3 |
+
ops = torch.ops._rotary_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_rotary_cuda_addf474::{op_name}"
|
build/torch212-cxx11-cu130-aarch64-linux/{_rotary_cuda_83d35ad.abi3.so → _rotary_cuda_addf474.abi3.so}
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:737b032a56aa723038ac801e226a849f535c8c9a656bd9b0e436c18908334448
|
| 3 |
+
size 10956776
|
build/torch212-cxx11-cu130-aarch64-linux/metadata.json
CHANGED
|
@@ -1,13 +1,15 @@
|
|
| 1 |
{
|
| 2 |
"name": "rotary",
|
| 3 |
-
"id": "
|
| 4 |
"version": 2,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
|
|
|
| 7 |
"backend": {
|
| 8 |
"type": "cuda",
|
| 9 |
"archs": [
|
| 10 |
"10.0",
|
|
|
|
| 11 |
"11.0",
|
| 12 |
"12.0",
|
| 13 |
"12.1+PTX",
|
|
@@ -23,20 +25,19 @@
|
|
| 23 |
"algorithm": "sha256",
|
| 24 |
"files": {
|
| 25 |
"__init__.py": "qlvCb0Z6KMkcCxgjDRxjD1ofWaJ/Lqx0cTFlqrncWyE=",
|
| 26 |
-
"_ops.py": "
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| 27 |
-
"
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| 28 |
-
"layers.py": "c8ZzUlsVi1lOGhM67JSViZdKBSbIKItQxmWkXPiTEy4="
|
| 29 |
-
"rotary/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
|
| 30 |
}
|
| 31 |
},
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| 32 |
"provenance": {
|
| 33 |
"kernel-builder": {
|
| 34 |
"version": "0.17.0-dev0",
|
| 35 |
-
"
|
| 36 |
"dirty": false
|
| 37 |
},
|
| 38 |
"kernel": {
|
| 39 |
-
"
|
| 40 |
"dirty": false
|
| 41 |
}
|
| 42 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "rotary",
|
| 3 |
+
"id": "_rotary_cuda_addf474",
|
| 4 |
"version": 2,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
"backend": {
|
| 9 |
"type": "cuda",
|
| 10 |
"archs": [
|
| 11 |
"10.0",
|
| 12 |
+
"10.3",
|
| 13 |
"11.0",
|
| 14 |
"12.0",
|
| 15 |
"12.1+PTX",
|
|
|
|
| 25 |
"algorithm": "sha256",
|
| 26 |
"files": {
|
| 27 |
"__init__.py": "qlvCb0Z6KMkcCxgjDRxjD1ofWaJ/Lqx0cTFlqrncWyE=",
|
| 28 |
+
"_ops.py": "oJ8gjSHw4EPutjzfPOXc43lKIesiQM0Uien2AIhDhSY=",
|
| 29 |
+
"_rotary_cuda_addf474.abi3.so": "c3sDKlaqcjA4rIAeImqEn1NcjJpla9mw5DbBiQgzREg=",
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| 30 |
+
"layers.py": "c8ZzUlsVi1lOGhM67JSViZdKBSbIKItQxmWkXPiTEy4="
|
|
|
|
| 31 |
}
|
| 32 |
},
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| 33 |
"provenance": {
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| 34 |
"kernel-builder": {
|
| 35 |
"version": "0.17.0-dev0",
|
| 36 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 37 |
"dirty": false
|
| 38 |
},
|
| 39 |
"kernel": {
|
| 40 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 41 |
"dirty": false
|
| 42 |
}
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| 43 |
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build/torch212-cxx11-cu130-aarch64-linux/metadata.json.sigstore
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|
build/torch212-cxx11-cu130-aarch64-linux/rotary/__init__.py
DELETED
|
@@ -1,26 +0,0 @@
|
|
| 1 |
-
import ctypes
|
| 2 |
-
import importlib.util
|
| 3 |
-
import sys
|
| 4 |
-
from pathlib import Path
|
| 5 |
-
from types import ModuleType
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
def _import_from_path(file_path: Path) -> ModuleType:
|
| 9 |
-
# We cannot use the module name as-is, after adding it to `sys.modules`,
|
| 10 |
-
# it would also be used for other imports. So, we make a module name that
|
| 11 |
-
# depends on the path for it to be unique using the hex-encoded hash of
|
| 12 |
-
# the path.
|
| 13 |
-
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 14 |
-
module_name = path_hash
|
| 15 |
-
spec = importlib.util.spec_from_file_location(module_name, file_path)
|
| 16 |
-
if spec is None:
|
| 17 |
-
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
|
| 18 |
-
module = importlib.util.module_from_spec(spec)
|
| 19 |
-
if module is None:
|
| 20 |
-
raise ImportError(f"Cannot load module {module_name} from spec")
|
| 21 |
-
sys.modules[module_name] = module
|
| 22 |
-
spec.loader.exec_module(module) # type: ignore
|
| 23 |
-
return module
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
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|
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|
|
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build/torch212-cxx11-cu132-aarch64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
import torch
|
| 2 |
-
from . import
|
| 3 |
-
ops = torch.ops.
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _rotary_cuda_addf474
|
| 3 |
+
ops = torch.ops._rotary_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_rotary_cuda_addf474::{op_name}"
|
build/torch212-cxx11-cu132-aarch64-linux/_rotary_cuda_addf474.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:e0a08dca20fc748948b771093ddf240be58fd18ceeb182dccf5998ad548ba143
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| 3 |
+
size 11223552
|
build/torch212-cxx11-cu132-aarch64-linux/metadata.json
CHANGED
|
@@ -1,13 +1,15 @@
|
|
| 1 |
{
|
| 2 |
"name": "rotary",
|
| 3 |
-
"id": "
|
| 4 |
"version": 2,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
|
|
|
| 7 |
"backend": {
|
| 8 |
"type": "cuda",
|
| 9 |
"archs": [
|
| 10 |
"10.0",
|
|
|
|
| 11 |
"11.0",
|
| 12 |
"12.0",
|
| 13 |
"12.1+PTX",
|
|
@@ -23,20 +25,19 @@
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|
| 23 |
"algorithm": "sha256",
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| 24 |
"files": {
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| 25 |
"__init__.py": "qlvCb0Z6KMkcCxgjDRxjD1ofWaJ/Lqx0cTFlqrncWyE=",
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-
"_ops.py": "
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| 27 |
-
"
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-
"layers.py": "c8ZzUlsVi1lOGhM67JSViZdKBSbIKItQxmWkXPiTEy4="
|
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-
"rotary/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
|
| 30 |
}
|
| 31 |
},
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| 32 |
"provenance": {
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| 33 |
"kernel-builder": {
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| 34 |
"version": "0.17.0-dev0",
|
| 35 |
-
"
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| 36 |
"dirty": false
|
| 37 |
},
|
| 38 |
"kernel": {
|
| 39 |
-
"
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| 40 |
"dirty": false
|
| 41 |
}
|
| 42 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "rotary",
|
| 3 |
+
"id": "_rotary_cuda_addf474",
|
| 4 |
"version": 2,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
"backend": {
|
| 9 |
"type": "cuda",
|
| 10 |
"archs": [
|
| 11 |
"10.0",
|
| 12 |
+
"10.3",
|
| 13 |
"11.0",
|
| 14 |
"12.0",
|
| 15 |
"12.1+PTX",
|
|
|
|
| 25 |
"algorithm": "sha256",
|
| 26 |
"files": {
|
| 27 |
"__init__.py": "qlvCb0Z6KMkcCxgjDRxjD1ofWaJ/Lqx0cTFlqrncWyE=",
|
| 28 |
+
"_ops.py": "oJ8gjSHw4EPutjzfPOXc43lKIesiQM0Uien2AIhDhSY=",
|
| 29 |
+
"_rotary_cuda_addf474.abi3.so": "4KCNyiD8dIlIt3EJPd8kC+WP0YzusYLcz1mYrVSLoUM=",
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| 30 |
+
"layers.py": "c8ZzUlsVi1lOGhM67JSViZdKBSbIKItQxmWkXPiTEy4="
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| 31 |
}
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| 32 |
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| 33 |
"provenance": {
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| 34 |
"kernel-builder": {
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| 35 |
"version": "0.17.0-dev0",
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+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
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| 37 |
"dirty": false
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| 38 |
},
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| 39 |
"kernel": {
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| 40 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 41 |
"dirty": false
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| 42 |
}
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build/torch212-cxx11-cu132-aarch64-linux/rotary/__init__.py
DELETED
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@@ -1,26 +0,0 @@
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| 1 |
-
import ctypes
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| 2 |
-
import importlib.util
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| 3 |
-
import sys
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| 4 |
-
from pathlib import Path
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| 5 |
-
from types import ModuleType
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| 6 |
-
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| 7 |
-
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| 8 |
-
def _import_from_path(file_path: Path) -> ModuleType:
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| 9 |
-
# We cannot use the module name as-is, after adding it to `sys.modules`,
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| 10 |
-
# it would also be used for other imports. So, we make a module name that
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| 11 |
-
# depends on the path for it to be unique using the hex-encoded hash of
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| 12 |
-
# the path.
|
| 13 |
-
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
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| 14 |
-
module_name = path_hash
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| 15 |
-
spec = importlib.util.spec_from_file_location(module_name, file_path)
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| 16 |
-
if spec is None:
|
| 17 |
-
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
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| 18 |
-
module = importlib.util.module_from_spec(spec)
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| 19 |
-
if module is None:
|
| 20 |
-
raise ImportError(f"Cannot load module {module_name} from spec")
|
| 21 |
-
sys.modules[module_name] = module
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| 22 |
-
spec.loader.exec_module(module) # type: ignore
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| 23 |
-
return module
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| 24 |
-
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| 25 |
-
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| 26 |
-
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
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|
build/torch213-cxx11-cu126-aarch64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
import torch
|
| 2 |
-
from . import
|
| 3 |
-
ops = torch.ops.
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _rotary_cuda_addf474
|
| 3 |
+
ops = torch.ops._rotary_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_rotary_cuda_addf474::{op_name}"
|
build/torch213-cxx11-cu126-aarch64-linux/{_rotary_cuda_83d35ad.abi3.so → _rotary_cuda_addf474.abi3.so}
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
-
oid sha256:
|
| 3 |
size 6337568
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:f715ab851cd46b28ee4f35bb3de7723032aecc3e4d6b20ce62f61f9533cf9237
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| 3 |
size 6337568
|
build/torch213-cxx11-cu126-aarch64-linux/metadata.json
CHANGED
|
@@ -1,9 +1,10 @@
|
|
| 1 |
{
|
| 2 |
"name": "rotary",
|
| 3 |
-
"id": "
|
| 4 |
"version": 2,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
|
|
|
| 7 |
"backend": {
|
| 8 |
"type": "cuda",
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| 9 |
"archs": [
|
|
@@ -21,20 +22,19 @@
|
|
| 21 |
"algorithm": "sha256",
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| 22 |
"files": {
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| 23 |
"__init__.py": "qlvCb0Z6KMkcCxgjDRxjD1ofWaJ/Lqx0cTFlqrncWyE=",
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-
"_ops.py": "
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| 25 |
-
"
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| 26 |
-
"layers.py": "c8ZzUlsVi1lOGhM67JSViZdKBSbIKItQxmWkXPiTEy4="
|
| 27 |
-
"rotary/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
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| 28 |
}
|
| 29 |
},
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| 30 |
"provenance": {
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"kernel-builder": {
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| 32 |
"version": "0.17.0-dev0",
|
| 33 |
-
"
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| 34 |
"dirty": false
|
| 35 |
},
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| 36 |
"kernel": {
|
| 37 |
-
"
|
| 38 |
"dirty": false
|
| 39 |
}
|
| 40 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "rotary",
|
| 3 |
+
"id": "_rotary_cuda_addf474",
|
| 4 |
"version": 2,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
"backend": {
|
| 9 |
"type": "cuda",
|
| 10 |
"archs": [
|
|
|
|
| 22 |
"algorithm": "sha256",
|
| 23 |
"files": {
|
| 24 |
"__init__.py": "qlvCb0Z6KMkcCxgjDRxjD1ofWaJ/Lqx0cTFlqrncWyE=",
|
| 25 |
+
"_ops.py": "oJ8gjSHw4EPutjzfPOXc43lKIesiQM0Uien2AIhDhSY=",
|
| 26 |
+
"_rotary_cuda_addf474.abi3.so": "9xWrhRzUayjuTzW7PedyMDKuzD5NayDOYvYflTPPkjc=",
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| 27 |
+
"layers.py": "c8ZzUlsVi1lOGhM67JSViZdKBSbIKItQxmWkXPiTEy4="
|
|
|
|
| 28 |
}
|
| 29 |
},
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| 30 |
"provenance": {
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| 31 |
"kernel-builder": {
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| 32 |
"version": "0.17.0-dev0",
|
| 33 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 34 |
"dirty": false
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| 35 |
},
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| 36 |
"kernel": {
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| 37 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 38 |
"dirty": false
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| 39 |
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| 40 |
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build/torch213-cxx11-cu126-aarch64-linux/metadata.json.sigstore
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build/torch213-cxx11-cu126-aarch64-linux/rotary/__init__.py
DELETED
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@@ -1,26 +0,0 @@
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| 1 |
-
import ctypes
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| 2 |
-
import importlib.util
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| 3 |
-
import sys
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| 4 |
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from pathlib import Path
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| 5 |
-
from types import ModuleType
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| 6 |
-
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| 7 |
-
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| 8 |
-
def _import_from_path(file_path: Path) -> ModuleType:
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| 9 |
-
# We cannot use the module name as-is, after adding it to `sys.modules`,
|
| 10 |
-
# it would also be used for other imports. So, we make a module name that
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| 11 |
-
# depends on the path for it to be unique using the hex-encoded hash of
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| 12 |
-
# the path.
|
| 13 |
-
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
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| 14 |
-
module_name = path_hash
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| 15 |
-
spec = importlib.util.spec_from_file_location(module_name, file_path)
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| 16 |
-
if spec is None:
|
| 17 |
-
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
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| 18 |
-
module = importlib.util.module_from_spec(spec)
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| 19 |
-
if module is None:
|
| 20 |
-
raise ImportError(f"Cannot load module {module_name} from spec")
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| 21 |
-
sys.modules[module_name] = module
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| 22 |
-
spec.loader.exec_module(module) # type: ignore
|
| 23 |
-
return module
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| 24 |
-
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| 25 |
-
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| 26 |
-
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
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build/torch213-cxx11-cu130-aarch64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
import torch
|
| 2 |
-
from . import
|
| 3 |
-
ops = torch.ops.
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _rotary_cuda_addf474
|
| 3 |
+
ops = torch.ops._rotary_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_rotary_cuda_addf474::{op_name}"
|
build/torch213-cxx11-cu130-aarch64-linux/_rotary_cuda_83d35ad.abi3.so
DELETED
|
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build/torch213-cxx11-cu130-aarch64-linux/_rotary_cuda_addf474.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
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build/torch213-cxx11-cu130-aarch64-linux/metadata.json
CHANGED
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@@ -1,13 +1,15 @@
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| 1 |
{
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| 2 |
"name": "rotary",
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-
"id": "
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"11.0",
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"files": {
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"__init__.py": "qlvCb0Z6KMkcCxgjDRxjD1ofWaJ/Lqx0cTFlqrncWyE=",
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-
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"dirty": false
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}
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}
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{
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"name": "rotary",
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+
"id": "_rotary_cuda_addf474",
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| 4 |
"version": 2,
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| 5 |
"license": "BSD-3-Clause",
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"python-depends": [],
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+
"kernel-depends": [],
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| 8 |
"backend": {
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"type": "cuda",
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| 10 |
"archs": [
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| 11 |
"10.0",
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"11.0",
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"12.0",
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"12.1+PTX",
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"algorithm": "sha256",
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"files": {
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"__init__.py": "qlvCb0Z6KMkcCxgjDRxjD1ofWaJ/Lqx0cTFlqrncWyE=",
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"_ops.py": "oJ8gjSHw4EPutjzfPOXc43lKIesiQM0Uien2AIhDhSY=",
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|
build/torch213-cxx11-cu130-aarch64-linux/rotary/__init__.py
DELETED
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@@ -1,26 +0,0 @@
|
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| 1 |
-
import ctypes
|
| 2 |
-
import importlib.util
|
| 3 |
-
import sys
|
| 4 |
-
from pathlib import Path
|
| 5 |
-
from types import ModuleType
|
| 6 |
-
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| 7 |
-
|
| 8 |
-
def _import_from_path(file_path: Path) -> ModuleType:
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| 9 |
-
# We cannot use the module name as-is, after adding it to `sys.modules`,
|
| 10 |
-
# it would also be used for other imports. So, we make a module name that
|
| 11 |
-
# depends on the path for it to be unique using the hex-encoded hash of
|
| 12 |
-
# the path.
|
| 13 |
-
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 14 |
-
module_name = path_hash
|
| 15 |
-
spec = importlib.util.spec_from_file_location(module_name, file_path)
|
| 16 |
-
if spec is None:
|
| 17 |
-
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
|
| 18 |
-
module = importlib.util.module_from_spec(spec)
|
| 19 |
-
if module is None:
|
| 20 |
-
raise ImportError(f"Cannot load module {module_name} from spec")
|
| 21 |
-
sys.modules[module_name] = module
|
| 22 |
-
spec.loader.exec_module(module) # type: ignore
|
| 23 |
-
return module
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
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build/torch213-cxx11-cu132-aarch64-linux/_ops.py
CHANGED
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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 _rotary_cuda_addf474
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+
ops = torch.ops._rotary_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"_rotary_cuda_addf474::{op_name}"
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build/torch213-cxx11-cu132-aarch64-linux/_rotary_cuda_83d35ad.abi3.so
DELETED
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@@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:066bf2ffb5860842890d13377e38a8bceca263520789edb08bb68b8c5ecb111d
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size 9912632
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build/torch213-cxx11-cu132-aarch64-linux/_rotary_cuda_addf474.abi3.so
ADDED
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@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:7c4a27ebfb2822291a4f26563e94e6835e76ec36fc91624be197427cb2bc55c3
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+
size 11223440
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build/torch213-cxx11-cu132-aarch64-linux/metadata.json
CHANGED
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@@ -1,13 +1,15 @@
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{
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"name": "rotary",
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-
"id": "
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"version": 2,
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"license": "BSD-3-Clause",
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"python-depends": [],
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"backend": {
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"type": "cuda",
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"archs": [
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"10.0",
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"11.0",
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"12.0",
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"12.1+PTX",
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@@ -23,20 +25,19 @@
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"algorithm": "sha256",
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"files": {
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"__init__.py": "qlvCb0Z6KMkcCxgjDRxjD1ofWaJ/Lqx0cTFlqrncWyE=",
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-
"_ops.py": "
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"
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"layers.py": "c8ZzUlsVi1lOGhM67JSViZdKBSbIKItQxmWkXPiTEy4="
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"rotary/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
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}
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},
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"provenance": {
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"kernel-builder": {
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"version": "0.17.0-dev0",
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"
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"dirty": false
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},
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"kernel": {
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-
"
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"dirty": false
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}
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| 42 |
}
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|
| 1 |
{
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| 2 |
"name": "rotary",
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| 3 |
+
"id": "_rotary_cuda_addf474",
|
| 4 |
"version": 2,
|
| 5 |
"license": "BSD-3-Clause",
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| 6 |
"python-depends": [],
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+
"kernel-depends": [],
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| 8 |
"backend": {
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| 9 |
"type": "cuda",
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| 10 |
"archs": [
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| 11 |
"10.0",
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+
"10.3",
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| 13 |
"11.0",
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| 14 |
"12.0",
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| 15 |
"12.1+PTX",
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|
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| 25 |
"algorithm": "sha256",
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| 26 |
"files": {
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"__init__.py": "qlvCb0Z6KMkcCxgjDRxjD1ofWaJ/Lqx0cTFlqrncWyE=",
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"_ops.py": "oJ8gjSHw4EPutjzfPOXc43lKIesiQM0Uien2AIhDhSY=",
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"_rotary_cuda_addf474.abi3.so": "fEon6/soIikaTyZWPpTmg1527Db8kWJL4ZdCfLK8VcM=",
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"layers.py": "c8ZzUlsVi1lOGhM67JSViZdKBSbIKItQxmWkXPiTEy4="
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}
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},
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"provenance": {
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"kernel-builder": {
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"version": "0.17.0-dev0",
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"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
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"dirty": false
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},
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"kernel": {
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+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
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"dirty": false
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}
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}
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build/torch213-cxx11-cu132-aarch64-linux/metadata.json.sigstore
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|
build/torch213-cxx11-cu132-aarch64-linux/rotary/__init__.py
DELETED
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@@ -1,26 +0,0 @@
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| 1 |
-
import ctypes
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| 2 |
-
import importlib.util
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| 3 |
-
import sys
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| 4 |
-
from pathlib import Path
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| 5 |
-
from types import ModuleType
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| 6 |
-
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| 7 |
-
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| 8 |
-
def _import_from_path(file_path: Path) -> ModuleType:
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| 9 |
-
# We cannot use the module name as-is, after adding it to `sys.modules`,
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| 10 |
-
# it would also be used for other imports. So, we make a module name that
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| 11 |
-
# depends on the path for it to be unique using the hex-encoded hash of
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| 12 |
-
# the path.
|
| 13 |
-
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
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| 14 |
-
module_name = path_hash
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| 15 |
-
spec = importlib.util.spec_from_file_location(module_name, file_path)
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| 16 |
-
if spec is None:
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| 17 |
-
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
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| 18 |
-
module = importlib.util.module_from_spec(spec)
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| 19 |
-
if module is None:
|
| 20 |
-
raise ImportError(f"Cannot load module {module_name} from spec")
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| 21 |
-
sys.modules[module_name] = module
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| 22 |
-
spec.loader.exec_module(module) # type: ignore
|
| 23 |
-
return module
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| 24 |
-
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| 25 |
-
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| 26 |
-
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
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build/torch214-cxx11-cu126-aarch64-linux/__init__.py
ADDED
|
@@ -0,0 +1,57 @@
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|
| 1 |
+
import torch
|
| 2 |
+
|
| 3 |
+
from . import layers
|
| 4 |
+
from ._ops import ops
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
def apply_rotary(
|
| 8 |
+
x1: torch.Tensor,
|
| 9 |
+
x2: torch.Tensor,
|
| 10 |
+
cos: torch.Tensor,
|
| 11 |
+
sin: torch.Tensor,
|
| 12 |
+
out1: torch.Tensor,
|
| 13 |
+
out2: torch.Tensor,
|
| 14 |
+
conj: bool,
|
| 15 |
+
) -> None:
|
| 16 |
+
ops.apply_rotary(x1, x2, cos, sin, out1, out2, conj)
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
def apply_rotary_transformers(
|
| 20 |
+
q: torch.Tensor,
|
| 21 |
+
k: torch.Tensor,
|
| 22 |
+
cos: torch.Tensor,
|
| 23 |
+
sin: torch.Tensor,
|
| 24 |
+
unsqueeze_dim: int = 1,
|
| 25 |
+
) -> tuple[torch.Tensor, torch.Tensor]:
|
| 26 |
+
"""
|
| 27 |
+
Rotary kernel implementation wrapper
|
| 28 |
+
Adapts rotary kernel implementation to match transformers apply_rotary_pos_emb signature
|
| 29 |
+
"""
|
| 30 |
+
cos = cos.unsqueeze(unsqueeze_dim)
|
| 31 |
+
sin = sin.unsqueeze(unsqueeze_dim)
|
| 32 |
+
|
| 33 |
+
q_rotated = q.clone()
|
| 34 |
+
k_rotated = k.clone()
|
| 35 |
+
|
| 36 |
+
# Get half dimension for rotation
|
| 37 |
+
half_dim = q.shape[-1] // 2
|
| 38 |
+
q1 = q_rotated[..., :half_dim]
|
| 39 |
+
q2 = q_rotated[..., half_dim:]
|
| 40 |
+
k1 = k_rotated[..., :half_dim]
|
| 41 |
+
k2 = k_rotated[..., half_dim:]
|
| 42 |
+
if cos.shape[-1] != half_dim:
|
| 43 |
+
# Trim cos/sin to match half_dim
|
| 44 |
+
cos = cos[..., :half_dim]
|
| 45 |
+
sin = sin[..., :half_dim]
|
| 46 |
+
|
| 47 |
+
apply_rotary(q1, q2, cos, sin, q1, q2, False)
|
| 48 |
+
apply_rotary(k1, k2, cos, sin, k1, k2, False)
|
| 49 |
+
return q_rotated, k_rotated
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
# Add torch compile support for functions
|
| 53 |
+
apply_rotary_transformers.can_torch_compile = True
|
| 54 |
+
|
| 55 |
+
|
| 56 |
+
# Keeping `apply_rotary` and `apply_rotary_transformers` for BC
|
| 57 |
+
__all__ = ["apply_rotary", "apply_rotary_transformers", "layers"]
|
build/torch214-cxx11-cu126-aarch64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
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|
|
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|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _rotary_cuda_addf474
|
| 3 |
+
ops = torch.ops._rotary_cuda_addf474
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_rotary_cuda_addf474::{op_name}"
|
build/{torch212-cxx11-cu132-aarch64-linux/_rotary_cuda_83d35ad.abi3.so → torch214-cxx11-cu126-aarch64-linux/_rotary_cuda_addf474.abi3.so}
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:72445203f0eb956bb2b6434188f9afe67c406a1086ad3d6af13ee170be0d6f9a
|
| 3 |
+
size 6338320
|
build/torch214-cxx11-cu126-aarch64-linux/layers.py
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
|
| 4 |
+
from ._ops import ops
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
class apply_rotary_transformers(nn.Module):
|
| 8 |
+
can_torch_compile = True
|
| 9 |
+
|
| 10 |
+
def forward(
|
| 11 |
+
self,
|
| 12 |
+
q: torch.Tensor,
|
| 13 |
+
k: torch.Tensor,
|
| 14 |
+
cos: torch.Tensor,
|
| 15 |
+
sin: torch.Tensor,
|
| 16 |
+
unsqueeze_dim: int = 1,
|
| 17 |
+
) -> tuple[torch.Tensor, torch.Tensor]:
|
| 18 |
+
"""
|
| 19 |
+
Rotary kernel implementation wrapper
|
| 20 |
+
Adapts rotary kernel implementation to match transformers apply_rotary_pos_emb signature
|
| 21 |
+
"""
|
| 22 |
+
cos = cos.unsqueeze(unsqueeze_dim)
|
| 23 |
+
sin = sin.unsqueeze(unsqueeze_dim)
|
| 24 |
+
|
| 25 |
+
q_rotated = q.clone()
|
| 26 |
+
k_rotated = k.clone()
|
| 27 |
+
|
| 28 |
+
# Get half dimension for rotation
|
| 29 |
+
half_dim = q.shape[-1] // 2
|
| 30 |
+
q1 = q_rotated[..., :half_dim]
|
| 31 |
+
q2 = q_rotated[..., half_dim:]
|
| 32 |
+
k1 = k_rotated[..., :half_dim]
|
| 33 |
+
k2 = k_rotated[..., half_dim:]
|
| 34 |
+
if cos.shape[-1] != half_dim:
|
| 35 |
+
# Trim cos/sin to match half_dim
|
| 36 |
+
cos = cos[..., :half_dim]
|
| 37 |
+
sin = sin[..., :half_dim]
|
| 38 |
+
|
| 39 |
+
ops.apply_rotary(q1, q2, cos, sin, q1, q2, False)
|
| 40 |
+
ops.apply_rotary(k1, k2, cos, sin, k1, k2, False)
|
| 41 |
+
return q_rotated, k_rotated
|
build/torch214-cxx11-cu126-aarch64-linux/metadata.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "rotary",
|
| 3 |
+
"id": "_rotary_cuda_addf474",
|
| 4 |
+
"version": 2,
|
| 5 |
+
"license": "BSD-3-Clause",
|
| 6 |
+
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
+
"backend": {
|
| 9 |
+
"type": "cuda",
|
| 10 |
+
"archs": [
|
| 11 |
+
"7.0",
|
| 12 |
+
"7.2",
|
| 13 |
+
"7.5",
|
| 14 |
+
"8.0",
|
| 15 |
+
"8.6",
|
| 16 |
+
"8.7",
|
| 17 |
+
"8.9",
|
| 18 |
+
"9.0+PTX"
|
| 19 |
+
]
|
| 20 |
+
},
|
| 21 |
+
"digest": {
|
| 22 |
+
"algorithm": "sha256",
|
| 23 |
+
"files": {
|
| 24 |
+
"__init__.py": "qlvCb0Z6KMkcCxgjDRxjD1ofWaJ/Lqx0cTFlqrncWyE=",
|
| 25 |
+
"_ops.py": "oJ8gjSHw4EPutjzfPOXc43lKIesiQM0Uien2AIhDhSY=",
|
| 26 |
+
"_rotary_cuda_addf474.abi3.so": "ckRSA/DrlWuytkNBiPmv5nxAahCGrT1q8T7hcL4Nb5o=",
|
| 27 |
+
"layers.py": "c8ZzUlsVi1lOGhM67JSViZdKBSbIKItQxmWkXPiTEy4="
|
| 28 |
+
}
|
| 29 |
+
},
|
| 30 |
+
"provenance": {
|
| 31 |
+
"kernel-builder": {
|
| 32 |
+
"version": "0.17.0-dev0",
|
| 33 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 34 |
+
"dirty": false
|
| 35 |
+
},
|
| 36 |
+
"kernel": {
|
| 37 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 38 |
+
"dirty": false
|
| 39 |
+
}
|
| 40 |
+
}
|
| 41 |
+
}
|
build/torch214-cxx11-cu126-aarch64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
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|
build/torch214-cxx11-cu130-aarch64-linux/__init__.py
ADDED
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| 1 |
+
import torch
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| 2 |
+
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| 3 |
+
from . import layers
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| 4 |
+
from ._ops import ops
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| 5 |
+
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| 6 |
+
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| 7 |
+
def apply_rotary(
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| 8 |
+
x1: torch.Tensor,
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| 9 |
+
x2: torch.Tensor,
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| 10 |
+
cos: torch.Tensor,
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| 11 |
+
sin: torch.Tensor,
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| 12 |
+
out1: torch.Tensor,
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| 13 |
+
out2: torch.Tensor,
|
| 14 |
+
conj: bool,
|
| 15 |
+
) -> None:
|
| 16 |
+
ops.apply_rotary(x1, x2, cos, sin, out1, out2, conj)
|
| 17 |
+
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| 18 |
+
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| 19 |
+
def apply_rotary_transformers(
|
| 20 |
+
q: torch.Tensor,
|
| 21 |
+
k: torch.Tensor,
|
| 22 |
+
cos: torch.Tensor,
|
| 23 |
+
sin: torch.Tensor,
|
| 24 |
+
unsqueeze_dim: int = 1,
|
| 25 |
+
) -> tuple[torch.Tensor, torch.Tensor]:
|
| 26 |
+
"""
|
| 27 |
+
Rotary kernel implementation wrapper
|
| 28 |
+
Adapts rotary kernel implementation to match transformers apply_rotary_pos_emb signature
|
| 29 |
+
"""
|
| 30 |
+
cos = cos.unsqueeze(unsqueeze_dim)
|
| 31 |
+
sin = sin.unsqueeze(unsqueeze_dim)
|
| 32 |
+
|
| 33 |
+
q_rotated = q.clone()
|
| 34 |
+
k_rotated = k.clone()
|
| 35 |
+
|
| 36 |
+
# Get half dimension for rotation
|
| 37 |
+
half_dim = q.shape[-1] // 2
|
| 38 |
+
q1 = q_rotated[..., :half_dim]
|
| 39 |
+
q2 = q_rotated[..., half_dim:]
|
| 40 |
+
k1 = k_rotated[..., :half_dim]
|
| 41 |
+
k2 = k_rotated[..., half_dim:]
|
| 42 |
+
if cos.shape[-1] != half_dim:
|
| 43 |
+
# Trim cos/sin to match half_dim
|
| 44 |
+
cos = cos[..., :half_dim]
|
| 45 |
+
sin = sin[..., :half_dim]
|
| 46 |
+
|
| 47 |
+
apply_rotary(q1, q2, cos, sin, q1, q2, False)
|
| 48 |
+
apply_rotary(k1, k2, cos, sin, k1, k2, False)
|
| 49 |
+
return q_rotated, k_rotated
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
# Add torch compile support for functions
|
| 53 |
+
apply_rotary_transformers.can_torch_compile = True
|
| 54 |
+
|
| 55 |
+
|
| 56 |
+
# Keeping `apply_rotary` and `apply_rotary_transformers` for BC
|
| 57 |
+
__all__ = ["apply_rotary", "apply_rotary_transformers", "layers"]
|
build/torch214-cxx11-cu130-aarch64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _rotary_cuda_addf474
|
| 3 |
+
ops = torch.ops._rotary_cuda_addf474
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_rotary_cuda_addf474::{op_name}"
|
build/torch214-cxx11-cu130-aarch64-linux/_rotary_cuda_addf474.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bd9ccfe498a42962c2b954ce99e70ee4c54cbec4004731e11818554918a283ad
|
| 3 |
+
size 10957424
|
build/torch214-cxx11-cu130-aarch64-linux/layers.py
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
|
| 4 |
+
from ._ops import ops
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
class apply_rotary_transformers(nn.Module):
|
| 8 |
+
can_torch_compile = True
|
| 9 |
+
|
| 10 |
+
def forward(
|
| 11 |
+
self,
|
| 12 |
+
q: torch.Tensor,
|
| 13 |
+
k: torch.Tensor,
|
| 14 |
+
cos: torch.Tensor,
|
| 15 |
+
sin: torch.Tensor,
|
| 16 |
+
unsqueeze_dim: int = 1,
|
| 17 |
+
) -> tuple[torch.Tensor, torch.Tensor]:
|
| 18 |
+
"""
|
| 19 |
+
Rotary kernel implementation wrapper
|
| 20 |
+
Adapts rotary kernel implementation to match transformers apply_rotary_pos_emb signature
|
| 21 |
+
"""
|
| 22 |
+
cos = cos.unsqueeze(unsqueeze_dim)
|
| 23 |
+
sin = sin.unsqueeze(unsqueeze_dim)
|
| 24 |
+
|
| 25 |
+
q_rotated = q.clone()
|
| 26 |
+
k_rotated = k.clone()
|
| 27 |
+
|
| 28 |
+
# Get half dimension for rotation
|
| 29 |
+
half_dim = q.shape[-1] // 2
|
| 30 |
+
q1 = q_rotated[..., :half_dim]
|
| 31 |
+
q2 = q_rotated[..., half_dim:]
|
| 32 |
+
k1 = k_rotated[..., :half_dim]
|
| 33 |
+
k2 = k_rotated[..., half_dim:]
|
| 34 |
+
if cos.shape[-1] != half_dim:
|
| 35 |
+
# Trim cos/sin to match half_dim
|
| 36 |
+
cos = cos[..., :half_dim]
|
| 37 |
+
sin = sin[..., :half_dim]
|
| 38 |
+
|
| 39 |
+
ops.apply_rotary(q1, q2, cos, sin, q1, q2, False)
|
| 40 |
+
ops.apply_rotary(k1, k2, cos, sin, k1, k2, False)
|
| 41 |
+
return q_rotated, k_rotated
|
build/torch214-cxx11-cu130-aarch64-linux/metadata.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "rotary",
|
| 3 |
+
"id": "_rotary_cuda_addf474",
|
| 4 |
+
"version": 2,
|
| 5 |
+
"license": "BSD-3-Clause",
|
| 6 |
+
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
+
"backend": {
|
| 9 |
+
"type": "cuda",
|
| 10 |
+
"archs": [
|
| 11 |
+
"10.0",
|
| 12 |
+
"10.3",
|
| 13 |
+
"11.0",
|
| 14 |
+
"12.0",
|
| 15 |
+
"12.1+PTX",
|
| 16 |
+
"7.5",
|
| 17 |
+
"8.0",
|
| 18 |
+
"8.6",
|
| 19 |
+
"8.7",
|
| 20 |
+
"8.9",
|
| 21 |
+
"9.0"
|
| 22 |
+
]
|
| 23 |
+
},
|
| 24 |
+
"digest": {
|
| 25 |
+
"algorithm": "sha256",
|
| 26 |
+
"files": {
|
| 27 |
+
"__init__.py": "qlvCb0Z6KMkcCxgjDRxjD1ofWaJ/Lqx0cTFlqrncWyE=",
|
| 28 |
+
"_ops.py": "oJ8gjSHw4EPutjzfPOXc43lKIesiQM0Uien2AIhDhSY=",
|
| 29 |
+
"_rotary_cuda_addf474.abi3.so": "vZzP5JikKWLCuVTOmecO5MVMvsQARzHhGBhVSRiig60=",
|
| 30 |
+
"layers.py": "c8ZzUlsVi1lOGhM67JSViZdKBSbIKItQxmWkXPiTEy4="
|
| 31 |
+
}
|
| 32 |
+
},
|
| 33 |
+
"provenance": {
|
| 34 |
+
"kernel-builder": {
|
| 35 |
+
"version": "0.17.0-dev0",
|
| 36 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 37 |
+
"dirty": false
|
| 38 |
+
},
|
| 39 |
+
"kernel": {
|
| 40 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 41 |
+
"dirty": false
|
| 42 |
+
}
|
| 43 |
+
}
|
| 44 |
+
}
|
build/torch214-cxx11-cu130-aarch64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
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|
build/torch214-cxx11-cu132-aarch64-linux/__init__.py
ADDED
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| 1 |
+
import torch
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| 2 |
+
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| 3 |
+
from . import layers
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| 4 |
+
from ._ops import ops
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| 5 |
+
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| 6 |
+
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| 7 |
+
def apply_rotary(
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| 8 |
+
x1: torch.Tensor,
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| 9 |
+
x2: torch.Tensor,
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| 10 |
+
cos: torch.Tensor,
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| 11 |
+
sin: torch.Tensor,
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| 12 |
+
out1: torch.Tensor,
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| 13 |
+
out2: torch.Tensor,
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| 14 |
+
conj: bool,
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| 15 |
+
) -> None:
|
| 16 |
+
ops.apply_rotary(x1, x2, cos, sin, out1, out2, conj)
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
def apply_rotary_transformers(
|
| 20 |
+
q: torch.Tensor,
|
| 21 |
+
k: torch.Tensor,
|
| 22 |
+
cos: torch.Tensor,
|
| 23 |
+
sin: torch.Tensor,
|
| 24 |
+
unsqueeze_dim: int = 1,
|
| 25 |
+
) -> tuple[torch.Tensor, torch.Tensor]:
|
| 26 |
+
"""
|
| 27 |
+
Rotary kernel implementation wrapper
|
| 28 |
+
Adapts rotary kernel implementation to match transformers apply_rotary_pos_emb signature
|
| 29 |
+
"""
|
| 30 |
+
cos = cos.unsqueeze(unsqueeze_dim)
|
| 31 |
+
sin = sin.unsqueeze(unsqueeze_dim)
|
| 32 |
+
|
| 33 |
+
q_rotated = q.clone()
|
| 34 |
+
k_rotated = k.clone()
|
| 35 |
+
|
| 36 |
+
# Get half dimension for rotation
|
| 37 |
+
half_dim = q.shape[-1] // 2
|
| 38 |
+
q1 = q_rotated[..., :half_dim]
|
| 39 |
+
q2 = q_rotated[..., half_dim:]
|
| 40 |
+
k1 = k_rotated[..., :half_dim]
|
| 41 |
+
k2 = k_rotated[..., half_dim:]
|
| 42 |
+
if cos.shape[-1] != half_dim:
|
| 43 |
+
# Trim cos/sin to match half_dim
|
| 44 |
+
cos = cos[..., :half_dim]
|
| 45 |
+
sin = sin[..., :half_dim]
|
| 46 |
+
|
| 47 |
+
apply_rotary(q1, q2, cos, sin, q1, q2, False)
|
| 48 |
+
apply_rotary(k1, k2, cos, sin, k1, k2, False)
|
| 49 |
+
return q_rotated, k_rotated
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
# Add torch compile support for functions
|
| 53 |
+
apply_rotary_transformers.can_torch_compile = True
|
| 54 |
+
|
| 55 |
+
|
| 56 |
+
# Keeping `apply_rotary` and `apply_rotary_transformers` for BC
|
| 57 |
+
__all__ = ["apply_rotary", "apply_rotary_transformers", "layers"]
|
build/torch214-cxx11-cu132-aarch64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _rotary_cuda_addf474
|
| 3 |
+
ops = torch.ops._rotary_cuda_addf474
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_rotary_cuda_addf474::{op_name}"
|
build/torch214-cxx11-cu132-aarch64-linux/_rotary_cuda_addf474.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:357ca303e0eb14db66b7c6e7150de8a5ee7f6ba21a8180d587a2cf59834af452
|
| 3 |
+
size 11224192
|
build/torch214-cxx11-cu132-aarch64-linux/layers.py
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
|
| 4 |
+
from ._ops import ops
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
class apply_rotary_transformers(nn.Module):
|
| 8 |
+
can_torch_compile = True
|
| 9 |
+
|
| 10 |
+
def forward(
|
| 11 |
+
self,
|
| 12 |
+
q: torch.Tensor,
|
| 13 |
+
k: torch.Tensor,
|
| 14 |
+
cos: torch.Tensor,
|
| 15 |
+
sin: torch.Tensor,
|
| 16 |
+
unsqueeze_dim: int = 1,
|
| 17 |
+
) -> tuple[torch.Tensor, torch.Tensor]:
|
| 18 |
+
"""
|
| 19 |
+
Rotary kernel implementation wrapper
|
| 20 |
+
Adapts rotary kernel implementation to match transformers apply_rotary_pos_emb signature
|
| 21 |
+
"""
|
| 22 |
+
cos = cos.unsqueeze(unsqueeze_dim)
|
| 23 |
+
sin = sin.unsqueeze(unsqueeze_dim)
|
| 24 |
+
|
| 25 |
+
q_rotated = q.clone()
|
| 26 |
+
k_rotated = k.clone()
|
| 27 |
+
|
| 28 |
+
# Get half dimension for rotation
|
| 29 |
+
half_dim = q.shape[-1] // 2
|
| 30 |
+
q1 = q_rotated[..., :half_dim]
|
| 31 |
+
q2 = q_rotated[..., half_dim:]
|
| 32 |
+
k1 = k_rotated[..., :half_dim]
|
| 33 |
+
k2 = k_rotated[..., half_dim:]
|
| 34 |
+
if cos.shape[-1] != half_dim:
|
| 35 |
+
# Trim cos/sin to match half_dim
|
| 36 |
+
cos = cos[..., :half_dim]
|
| 37 |
+
sin = sin[..., :half_dim]
|
| 38 |
+
|
| 39 |
+
ops.apply_rotary(q1, q2, cos, sin, q1, q2, False)
|
| 40 |
+
ops.apply_rotary(k1, k2, cos, sin, k1, k2, False)
|
| 41 |
+
return q_rotated, k_rotated
|
build/torch214-cxx11-cu132-aarch64-linux/metadata.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "rotary",
|
| 3 |
+
"id": "_rotary_cuda_addf474",
|
| 4 |
+
"version": 2,
|
| 5 |
+
"license": "BSD-3-Clause",
|
| 6 |
+
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
+
"backend": {
|
| 9 |
+
"type": "cuda",
|
| 10 |
+
"archs": [
|
| 11 |
+
"10.0",
|
| 12 |
+
"10.3",
|
| 13 |
+
"11.0",
|
| 14 |
+
"12.0",
|
| 15 |
+
"12.1+PTX",
|
| 16 |
+
"7.5",
|
| 17 |
+
"8.0",
|
| 18 |
+
"8.6",
|
| 19 |
+
"8.7",
|
| 20 |
+
"8.9",
|
| 21 |
+
"9.0"
|
| 22 |
+
]
|
| 23 |
+
},
|
| 24 |
+
"digest": {
|
| 25 |
+
"algorithm": "sha256",
|
| 26 |
+
"files": {
|
| 27 |
+
"__init__.py": "qlvCb0Z6KMkcCxgjDRxjD1ofWaJ/Lqx0cTFlqrncWyE=",
|
| 28 |
+
"_ops.py": "oJ8gjSHw4EPutjzfPOXc43lKIesiQM0Uien2AIhDhSY=",
|
| 29 |
+
"_rotary_cuda_addf474.abi3.so": "NXyjA+DrFNtmt8bnFQ3ope5/a6IagYDVh6LPWYNK9FI=",
|
| 30 |
+
"layers.py": "c8ZzUlsVi1lOGhM67JSViZdKBSbIKItQxmWkXPiTEy4="
|
| 31 |
+
}
|
| 32 |
+
},
|
| 33 |
+
"provenance": {
|
| 34 |
+
"kernel-builder": {
|
| 35 |
+
"version": "0.17.0-dev0",
|
| 36 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 37 |
+
"dirty": false
|
| 38 |
+
},
|
| 39 |
+
"kernel": {
|
| 40 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 41 |
+
"dirty": false
|
| 42 |
+
}
|
| 43 |
+
}
|
| 44 |
+
}
|
build/torch214-cxx11-cu132-aarch64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
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