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- build/torch212-cxx11-cu126-x86_64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu126-x86_64-linux/{_paged_attention_cuda_8a730d9.abi3.so → _paged_attention_cuda_addf474.abi3.so} +1 -1
- build/torch212-cxx11-cu126-x86_64-linux/metadata.json +6 -6
- build/torch212-cxx11-cu126-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch212-cxx11-cu126-x86_64-linux/paged_attention/__init__.py +0 -26
- build/torch212-cxx11-cu130-x86_64-linux/_ops.py +3 -3
- build/{torch213-cxx11-cu130-x86_64-linux/_paged_attention_cuda_8a730d9.abi3.so → torch212-cxx11-cu130-x86_64-linux/_paged_attention_cuda_addf474.abi3.so} +2 -2
- build/torch212-cxx11-cu130-x86_64-linux/metadata.json +7 -6
- build/torch212-cxx11-cu130-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch212-cxx11-cu130-x86_64-linux/paged_attention/__init__.py +0 -26
- build/torch212-cxx11-cu132-x86_64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu132-x86_64-linux/{_paged_attention_cuda_8a730d9.abi3.so → _paged_attention_cuda_addf474.abi3.so} +2 -2
- build/torch212-cxx11-cu132-x86_64-linux/metadata.json +7 -6
- build/torch212-cxx11-cu132-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch212-cxx11-cu132-x86_64-linux/paged_attention/__init__.py +0 -26
- build/torch213-cxx11-cu126-x86_64-linux/_ops.py +3 -3
- build/torch213-cxx11-cu126-x86_64-linux/{_paged_attention_cuda_8a730d9.abi3.so → _paged_attention_cuda_addf474.abi3.so} +1 -1
- build/torch213-cxx11-cu126-x86_64-linux/metadata.json +6 -6
- build/torch213-cxx11-cu126-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch213-cxx11-cu126-x86_64-linux/paged_attention/__init__.py +0 -26
- build/torch213-cxx11-cu130-x86_64-linux/_ops.py +3 -3
- build/{torch212-cxx11-cu130-x86_64-linux/_paged_attention_cuda_8a730d9.abi3.so → torch213-cxx11-cu130-x86_64-linux/_paged_attention_cuda_addf474.abi3.so} +2 -2
- build/torch213-cxx11-cu130-x86_64-linux/metadata.json +7 -6
- build/torch213-cxx11-cu130-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch213-cxx11-cu130-x86_64-linux/paged_attention/__init__.py +0 -26
- build/torch213-cxx11-cu132-x86_64-linux/_ops.py +3 -3
- build/torch213-cxx11-cu132-x86_64-linux/{_paged_attention_cuda_8a730d9.abi3.so → _paged_attention_cuda_addf474.abi3.so} +2 -2
- build/torch213-cxx11-cu132-x86_64-linux/metadata.json +7 -6
- build/torch213-cxx11-cu132-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch213-cxx11-cu132-x86_64-linux/paged_attention/__init__.py +0 -26
- build/torch214-cxx11-cu126-x86_64-linux/__init__.py +21 -0
- build/torch214-cxx11-cu126-x86_64-linux/_custom_ops.py +173 -0
- build/torch214-cxx11-cu126-x86_64-linux/_ops.py +9 -0
- build/torch214-cxx11-cu126-x86_64-linux/_paged_attention_cuda_addf474.abi3.so +3 -0
- build/torch214-cxx11-cu126-x86_64-linux/metadata.json +42 -0
- build/torch214-cxx11-cu126-x86_64-linux/metadata.json.sigstore +1 -0
- build/torch214-cxx11-cu126-x86_64-linux/platforms.py +92 -0
- build/torch214-cxx11-cu130-x86_64-linux/__init__.py +21 -0
- build/torch214-cxx11-cu130-x86_64-linux/_custom_ops.py +173 -0
- build/torch214-cxx11-cu130-x86_64-linux/_ops.py +9 -0
- build/torch214-cxx11-cu130-x86_64-linux/_paged_attention_cuda_addf474.abi3.so +3 -0
- build/torch214-cxx11-cu130-x86_64-linux/metadata.json +45 -0
- build/torch214-cxx11-cu130-x86_64-linux/metadata.json.sigstore +1 -0
- build/torch214-cxx11-cu130-x86_64-linux/platforms.py +92 -0
- build/torch214-cxx11-cu132-x86_64-linux/__init__.py +21 -0
- build/torch214-cxx11-cu132-x86_64-linux/_custom_ops.py +173 -0
- build/torch214-cxx11-cu132-x86_64-linux/_ops.py +9 -0
- build/torch214-cxx11-cu132-x86_64-linux/_paged_attention_cuda_addf474.abi3.so +3 -0
- build/torch214-cxx11-cu132-x86_64-linux/metadata.json +45 -0
- build/torch214-cxx11-cu132-x86_64-linux/metadata.json.sigstore +1 -0
build/torch212-cxx11-cu126-x86_64-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 _paged_attention_cuda_addf474
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+
ops = torch.ops._paged_attention_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"_paged_attention_cuda_addf474::{op_name}"
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build/torch212-cxx11-cu126-x86_64-linux/{_paged_attention_cuda_8a730d9.abi3.so → _paged_attention_cuda_addf474.abi3.so}
RENAMED
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version https://git-lfs.github.com/spec/v1
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size 138263232
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version https://git-lfs.github.com/spec/v1
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size 138263232
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build/torch212-cxx11-cu126-x86_64-linux/metadata.json
CHANGED
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@@ -1,9 +1,10 @@
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{
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"name": "paged-attention",
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-
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{
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"name": "paged-attention",
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+
"id": "_paged_attention_cuda_addf474",
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"version": 1,
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"license": "Apache-2.0",
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"python-depends": [],
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"type": "cuda",
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"_ops.py": "ljgy4ogthuAfMI0FHeqd6vBDQG9gDf8si+utP/EiYCI=",
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build/torch212-cxx11-cu126-x86_64-linux/metadata.json.sigstore
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|
build/torch212-cxx11-cu126-x86_64-linux/paged_attention/__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`,
|
| 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")
|
| 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/torch212-cxx11-cu130-x86_64-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 _paged_attention_cuda_addf474
|
| 3 |
+
ops = torch.ops._paged_attention_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_paged_attention_cuda_addf474::{op_name}"
|
build/{torch213-cxx11-cu130-x86_64-linux/_paged_attention_cuda_8a730d9.abi3.so → torch212-cxx11-cu130-x86_64-linux/_paged_attention_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 sha256:8e9bafb4162241cd9acee1f39f3cd78176e9426c73b52cb19878c7dffb2544ea
|
| 3 |
+
size 97786920
|
build/torch212-cxx11-cu130-x86_64-linux/metadata.json
CHANGED
|
@@ -1,13 +1,15 @@
|
|
| 1 |
{
|
| 2 |
"name": "paged-attention",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
|
|
| 7 |
"backend": {
|
| 8 |
"type": "cuda",
|
| 9 |
"archs": [
|
| 10 |
"10.0",
|
|
|
|
| 11 |
"11.0",
|
| 12 |
"12.0",
|
| 13 |
"12.1+PTX",
|
|
@@ -24,20 +26,19 @@
|
|
| 24 |
"files": {
|
| 25 |
"__init__.py": "oes6jQj02wGGtnJVomIE7ZJr2qnJmOm6CWurue5Vf6w=",
|
| 26 |
"_custom_ops.py": "tnC6OR7TPhMV+tt8MyUyIH2gDIdxBzHT+1z1NUhA9EE=",
|
| 27 |
-
"_ops.py": "
|
| 28 |
-
"
|
| 29 |
-
"paged_attention/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 30 |
"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
|
| 31 |
}
|
| 32 |
},
|
| 33 |
"provenance": {
|
| 34 |
"kernel-builder": {
|
| 35 |
"version": "0.17.0-dev0",
|
| 36 |
-
"
|
| 37 |
"dirty": false
|
| 38 |
},
|
| 39 |
"kernel": {
|
| 40 |
-
"
|
| 41 |
"dirty": false
|
| 42 |
}
|
| 43 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "paged-attention",
|
| 3 |
+
"id": "_paged_attention_cuda_addf474",
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 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",
|
|
|
|
| 26 |
"files": {
|
| 27 |
"__init__.py": "oes6jQj02wGGtnJVomIE7ZJr2qnJmOm6CWurue5Vf6w=",
|
| 28 |
"_custom_ops.py": "tnC6OR7TPhMV+tt8MyUyIH2gDIdxBzHT+1z1NUhA9EE=",
|
| 29 |
+
"_ops.py": "ljgy4ogthuAfMI0FHeqd6vBDQG9gDf8si+utP/EiYCI=",
|
| 30 |
+
"_paged_attention_cuda_addf474.abi3.so": "jpuvtBYiQc2azuHznzzXgXbpQmxztSyxmHjH3/slROo=",
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|
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|
| 31 |
"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
|
| 32 |
}
|
| 33 |
},
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| 34 |
"provenance": {
|
| 35 |
"kernel-builder": {
|
| 36 |
"version": "0.17.0-dev0",
|
| 37 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 38 |
"dirty": false
|
| 39 |
},
|
| 40 |
"kernel": {
|
| 41 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 42 |
"dirty": false
|
| 43 |
}
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| 44 |
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build/torch212-cxx11-cu130-x86_64-linux/metadata.json.sigstore
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|
build/torch212-cxx11-cu130-x86_64-linux/paged_attention/__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.
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| 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
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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/torch212-cxx11-cu132-x86_64-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 _paged_attention_cuda_addf474
|
| 3 |
+
ops = torch.ops._paged_attention_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_paged_attention_cuda_addf474::{op_name}"
|
build/torch212-cxx11-cu132-x86_64-linux/{_paged_attention_cuda_8a730d9.abi3.so → _paged_attention_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:a4f7f4c17fec52adc1b8b099cdd3655ae75c7359e004f2b252555967238a2eb0
|
| 3 |
+
size 96614072
|
build/torch212-cxx11-cu132-x86_64-linux/metadata.json
CHANGED
|
@@ -1,13 +1,15 @@
|
|
| 1 |
{
|
| 2 |
"name": "paged-attention",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
|
|
| 7 |
"backend": {
|
| 8 |
"type": "cuda",
|
| 9 |
"archs": [
|
| 10 |
"10.0",
|
|
|
|
| 11 |
"11.0",
|
| 12 |
"12.0",
|
| 13 |
"12.1+PTX",
|
|
@@ -24,20 +26,19 @@
|
|
| 24 |
"files": {
|
| 25 |
"__init__.py": "oes6jQj02wGGtnJVomIE7ZJr2qnJmOm6CWurue5Vf6w=",
|
| 26 |
"_custom_ops.py": "tnC6OR7TPhMV+tt8MyUyIH2gDIdxBzHT+1z1NUhA9EE=",
|
| 27 |
-
"_ops.py": "
|
| 28 |
-
"
|
| 29 |
-
"paged_attention/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 30 |
"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
|
| 31 |
}
|
| 32 |
},
|
| 33 |
"provenance": {
|
| 34 |
"kernel-builder": {
|
| 35 |
"version": "0.17.0-dev0",
|
| 36 |
-
"
|
| 37 |
"dirty": false
|
| 38 |
},
|
| 39 |
"kernel": {
|
| 40 |
-
"
|
| 41 |
"dirty": false
|
| 42 |
}
|
| 43 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "paged-attention",
|
| 3 |
+
"id": "_paged_attention_cuda_addf474",
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 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",
|
|
|
|
| 26 |
"files": {
|
| 27 |
"__init__.py": "oes6jQj02wGGtnJVomIE7ZJr2qnJmOm6CWurue5Vf6w=",
|
| 28 |
"_custom_ops.py": "tnC6OR7TPhMV+tt8MyUyIH2gDIdxBzHT+1z1NUhA9EE=",
|
| 29 |
+
"_ops.py": "ljgy4ogthuAfMI0FHeqd6vBDQG9gDf8si+utP/EiYCI=",
|
| 30 |
+
"_paged_attention_cuda_addf474.abi3.so": "pPf0wX/sUq3BuLCZzdNlWudcc1ngBPKyUlVZZyOKLrA=",
|
|
|
|
| 31 |
"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
|
| 32 |
}
|
| 33 |
},
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| 34 |
"provenance": {
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| 35 |
"kernel-builder": {
|
| 36 |
"version": "0.17.0-dev0",
|
| 37 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 38 |
"dirty": false
|
| 39 |
},
|
| 40 |
"kernel": {
|
| 41 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 42 |
"dirty": false
|
| 43 |
}
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| 44 |
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|
build/torch212-cxx11-cu132-x86_64-linux/paged_attention/__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.
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| 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:
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| 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
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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-x86_64-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 _paged_attention_cuda_addf474
|
| 3 |
+
ops = torch.ops._paged_attention_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_paged_attention_cuda_addf474::{op_name}"
|
build/torch213-cxx11-cu126-x86_64-linux/{_paged_attention_cuda_8a730d9.abi3.so → _paged_attention_cuda_addf474.abi3.so}
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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| 3 |
size 138271528
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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+
oid sha256:f6792f63dff402704e3650cb41c1c4ca058bdf530a6baa82a0d524e8a79bce32
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size 138271528
|
build/torch213-cxx11-cu126-x86_64-linux/metadata.json
CHANGED
|
@@ -1,9 +1,10 @@
|
|
| 1 |
{
|
| 2 |
"name": "paged-attention",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
|
|
| 7 |
"backend": {
|
| 8 |
"type": "cuda",
|
| 9 |
"archs": [
|
|
@@ -22,20 +23,19 @@
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|
| 22 |
"files": {
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"__init__.py": "oes6jQj02wGGtnJVomIE7ZJr2qnJmOm6CWurue5Vf6w=",
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"_custom_ops.py": "tnC6OR7TPhMV+tt8MyUyIH2gDIdxBzHT+1z1NUhA9EE=",
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-
"_ops.py": "
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| 26 |
-
"
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-
"paged_attention/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
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"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
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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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| 38 |
-
"
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| 39 |
"dirty": false
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| 40 |
}
|
| 41 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "paged-attention",
|
| 3 |
+
"id": "_paged_attention_cuda_addf474",
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
"backend": {
|
| 9 |
"type": "cuda",
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| 10 |
"archs": [
|
|
|
|
| 23 |
"files": {
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| 24 |
"__init__.py": "oes6jQj02wGGtnJVomIE7ZJr2qnJmOm6CWurue5Vf6w=",
|
| 25 |
"_custom_ops.py": "tnC6OR7TPhMV+tt8MyUyIH2gDIdxBzHT+1z1NUhA9EE=",
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+
"_ops.py": "ljgy4ogthuAfMI0FHeqd6vBDQG9gDf8si+utP/EiYCI=",
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+
"_paged_attention_cuda_addf474.abi3.so": "9nkvY9/0AnBONlDLQcHEygWL31MKa6qCoNUk6KebzjI=",
|
|
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|
| 28 |
"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
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| 29 |
}
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"provenance": {
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"kernel-builder": {
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| 33 |
"version": "0.17.0-dev0",
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"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
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| 35 |
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"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
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| 39 |
"dirty": false
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| 40 |
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|
build/torch213-cxx11-cu126-x86_64-linux/paged_attention/__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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-
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.
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| 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:
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| 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
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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-cu130-x86_64-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 _paged_attention_cuda_addf474
|
| 3 |
+
ops = torch.ops._paged_attention_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_paged_attention_cuda_addf474::{op_name}"
|
build/{torch212-cxx11-cu130-x86_64-linux/_paged_attention_cuda_8a730d9.abi3.so → torch213-cxx11-cu130-x86_64-linux/_paged_attention_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 sha256:638264cd9b4e3a32a3d221b31341cb9d7f27a2f727176b570ef9cc1b7bdd0231
|
| 3 |
+
size 97795216
|
build/torch213-cxx11-cu130-x86_64-linux/metadata.json
CHANGED
|
@@ -1,13 +1,15 @@
|
|
| 1 |
{
|
| 2 |
"name": "paged-attention",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
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|
| 7 |
"backend": {
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| 8 |
"type": "cuda",
|
| 9 |
"archs": [
|
| 10 |
"10.0",
|
|
|
|
| 11 |
"11.0",
|
| 12 |
"12.0",
|
| 13 |
"12.1+PTX",
|
|
@@ -24,20 +26,19 @@
|
|
| 24 |
"files": {
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| 25 |
"__init__.py": "oes6jQj02wGGtnJVomIE7ZJr2qnJmOm6CWurue5Vf6w=",
|
| 26 |
"_custom_ops.py": "tnC6OR7TPhMV+tt8MyUyIH2gDIdxBzHT+1z1NUhA9EE=",
|
| 27 |
-
"_ops.py": "
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| 28 |
-
"
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-
"paged_attention/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
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| 30 |
"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
|
| 31 |
}
|
| 32 |
},
|
| 33 |
"provenance": {
|
| 34 |
"kernel-builder": {
|
| 35 |
"version": "0.17.0-dev0",
|
| 36 |
-
"
|
| 37 |
"dirty": false
|
| 38 |
},
|
| 39 |
"kernel": {
|
| 40 |
-
"
|
| 41 |
"dirty": false
|
| 42 |
}
|
| 43 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "paged-attention",
|
| 3 |
+
"id": "_paged_attention_cuda_addf474",
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 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",
|
|
|
|
| 26 |
"files": {
|
| 27 |
"__init__.py": "oes6jQj02wGGtnJVomIE7ZJr2qnJmOm6CWurue5Vf6w=",
|
| 28 |
"_custom_ops.py": "tnC6OR7TPhMV+tt8MyUyIH2gDIdxBzHT+1z1NUhA9EE=",
|
| 29 |
+
"_ops.py": "ljgy4ogthuAfMI0FHeqd6vBDQG9gDf8si+utP/EiYCI=",
|
| 30 |
+
"_paged_attention_cuda_addf474.abi3.so": "Y4JkzZtOOjKj0iGzE0HLnX8novcnF2tXDvnMG3vdAjE=",
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|
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| 31 |
"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
|
| 32 |
}
|
| 33 |
},
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| 34 |
"provenance": {
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| 35 |
"kernel-builder": {
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| 36 |
"version": "0.17.0-dev0",
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| 37 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 38 |
"dirty": false
|
| 39 |
},
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| 40 |
"kernel": {
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| 41 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
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| 42 |
"dirty": false
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| 43 |
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|
build/torch213-cxx11-cu130-x86_64-linux/paged_attention/__init__.py
DELETED
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@@ -1,26 +0,0 @@
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| 1 |
-
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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| 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.
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| 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:
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| 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
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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-cu132-x86_64-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 _paged_attention_cuda_addf474
|
| 3 |
+
ops = torch.ops._paged_attention_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_paged_attention_cuda_addf474::{op_name}"
|
build/torch213-cxx11-cu132-x86_64-linux/{_paged_attention_cuda_8a730d9.abi3.so → _paged_attention_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:d2fb6bfb6b2f71304bbe3246fb451db2fad2b29c7a82c5a3db0ddd8957e7a6fc
|
| 3 |
+
size 96622368
|
build/torch213-cxx11-cu132-x86_64-linux/metadata.json
CHANGED
|
@@ -1,13 +1,15 @@
|
|
| 1 |
{
|
| 2 |
"name": "paged-attention",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
|
|
| 7 |
"backend": {
|
| 8 |
"type": "cuda",
|
| 9 |
"archs": [
|
| 10 |
"10.0",
|
|
|
|
| 11 |
"11.0",
|
| 12 |
"12.0",
|
| 13 |
"12.1+PTX",
|
|
@@ -24,20 +26,19 @@
|
|
| 24 |
"files": {
|
| 25 |
"__init__.py": "oes6jQj02wGGtnJVomIE7ZJr2qnJmOm6CWurue5Vf6w=",
|
| 26 |
"_custom_ops.py": "tnC6OR7TPhMV+tt8MyUyIH2gDIdxBzHT+1z1NUhA9EE=",
|
| 27 |
-
"_ops.py": "
|
| 28 |
-
"
|
| 29 |
-
"paged_attention/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 30 |
"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
|
| 31 |
}
|
| 32 |
},
|
| 33 |
"provenance": {
|
| 34 |
"kernel-builder": {
|
| 35 |
"version": "0.17.0-dev0",
|
| 36 |
-
"
|
| 37 |
"dirty": false
|
| 38 |
},
|
| 39 |
"kernel": {
|
| 40 |
-
"
|
| 41 |
"dirty": false
|
| 42 |
}
|
| 43 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "paged-attention",
|
| 3 |
+
"id": "_paged_attention_cuda_addf474",
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 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",
|
|
|
|
| 26 |
"files": {
|
| 27 |
"__init__.py": "oes6jQj02wGGtnJVomIE7ZJr2qnJmOm6CWurue5Vf6w=",
|
| 28 |
"_custom_ops.py": "tnC6OR7TPhMV+tt8MyUyIH2gDIdxBzHT+1z1NUhA9EE=",
|
| 29 |
+
"_ops.py": "ljgy4ogthuAfMI0FHeqd6vBDQG9gDf8si+utP/EiYCI=",
|
| 30 |
+
"_paged_attention_cuda_addf474.abi3.so": "0vtr+2svcTBLvjJG+0UdsvrSspx6gsWj2w3diVfnpvw=",
|
|
|
|
| 31 |
"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
|
| 32 |
}
|
| 33 |
},
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| 34 |
"provenance": {
|
| 35 |
"kernel-builder": {
|
| 36 |
"version": "0.17.0-dev0",
|
| 37 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 38 |
"dirty": false
|
| 39 |
},
|
| 40 |
"kernel": {
|
| 41 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 42 |
"dirty": false
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| 43 |
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| 44 |
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|
build/torch213-cxx11-cu132-x86_64-linux/paged_attention/__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
|
| 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/torch214-cxx11-cu126-x86_64-linux/__init__.py
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from ._custom_ops import (
|
| 2 |
+
convert_fp8,
|
| 3 |
+
copy_blocks,
|
| 4 |
+
paged_attention_v1,
|
| 5 |
+
paged_attention_v2,
|
| 6 |
+
reshape_and_cache,
|
| 7 |
+
reshape_and_cache_flash,
|
| 8 |
+
swap_blocks,
|
| 9 |
+
)
|
| 10 |
+
from ._ops import ops
|
| 11 |
+
|
| 12 |
+
__all__ = [
|
| 13 |
+
"convert_fp8",
|
| 14 |
+
"copy_blocks",
|
| 15 |
+
"ops",
|
| 16 |
+
"paged_attention_v1",
|
| 17 |
+
"paged_attention_v2",
|
| 18 |
+
"reshape_and_cache",
|
| 19 |
+
"reshape_and_cache_flash",
|
| 20 |
+
"swap_blocks",
|
| 21 |
+
]
|
build/torch214-cxx11-cu126-x86_64-linux/_custom_ops.py
ADDED
|
@@ -0,0 +1,173 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from typing import List, Optional
|
| 2 |
+
|
| 3 |
+
import torch
|
| 4 |
+
|
| 5 |
+
from ._ops import ops
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
# page attention ops
|
| 9 |
+
def paged_attention_v1(
|
| 10 |
+
out: torch.Tensor,
|
| 11 |
+
query: torch.Tensor,
|
| 12 |
+
key_cache: torch.Tensor,
|
| 13 |
+
value_cache: torch.Tensor,
|
| 14 |
+
num_kv_heads: int,
|
| 15 |
+
scale: float,
|
| 16 |
+
block_tables: torch.Tensor,
|
| 17 |
+
seq_lens: torch.Tensor,
|
| 18 |
+
block_size: int,
|
| 19 |
+
max_seq_len: int,
|
| 20 |
+
alibi_slopes: Optional[torch.Tensor],
|
| 21 |
+
kv_cache_dtype: str,
|
| 22 |
+
k_scale: float,
|
| 23 |
+
v_scale: float,
|
| 24 |
+
tp_rank: int = 0,
|
| 25 |
+
blocksparse_local_blocks: int = 0,
|
| 26 |
+
blocksparse_vert_stride: int = 0,
|
| 27 |
+
blocksparse_block_size: int = 64,
|
| 28 |
+
blocksparse_head_sliding_step: int = 0,
|
| 29 |
+
) -> None:
|
| 30 |
+
ops.paged_attention_v1(
|
| 31 |
+
out,
|
| 32 |
+
query,
|
| 33 |
+
key_cache,
|
| 34 |
+
value_cache,
|
| 35 |
+
num_kv_heads,
|
| 36 |
+
scale,
|
| 37 |
+
block_tables,
|
| 38 |
+
seq_lens,
|
| 39 |
+
block_size,
|
| 40 |
+
max_seq_len,
|
| 41 |
+
alibi_slopes,
|
| 42 |
+
kv_cache_dtype,
|
| 43 |
+
k_scale,
|
| 44 |
+
v_scale,
|
| 45 |
+
tp_rank,
|
| 46 |
+
blocksparse_local_blocks,
|
| 47 |
+
blocksparse_vert_stride,
|
| 48 |
+
blocksparse_block_size,
|
| 49 |
+
blocksparse_head_sliding_step,
|
| 50 |
+
)
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
def paged_attention_v2(
|
| 54 |
+
out: torch.Tensor,
|
| 55 |
+
exp_sum: torch.Tensor,
|
| 56 |
+
max_logits: torch.Tensor,
|
| 57 |
+
tmp_out: torch.Tensor,
|
| 58 |
+
query: torch.Tensor,
|
| 59 |
+
key_cache: torch.Tensor,
|
| 60 |
+
value_cache: torch.Tensor,
|
| 61 |
+
num_kv_heads: int,
|
| 62 |
+
scale: float,
|
| 63 |
+
block_tables: torch.Tensor,
|
| 64 |
+
seq_lens: torch.Tensor,
|
| 65 |
+
block_size: int,
|
| 66 |
+
max_seq_len: int,
|
| 67 |
+
alibi_slopes: Optional[torch.Tensor],
|
| 68 |
+
kv_cache_dtype: str,
|
| 69 |
+
k_scale: float,
|
| 70 |
+
v_scale: float,
|
| 71 |
+
tp_rank: int = 0,
|
| 72 |
+
blocksparse_local_blocks: int = 0,
|
| 73 |
+
blocksparse_vert_stride: int = 0,
|
| 74 |
+
blocksparse_block_size: int = 64,
|
| 75 |
+
blocksparse_head_sliding_step: int = 0,
|
| 76 |
+
) -> None:
|
| 77 |
+
ops.paged_attention_v2(
|
| 78 |
+
out,
|
| 79 |
+
exp_sum,
|
| 80 |
+
max_logits,
|
| 81 |
+
tmp_out,
|
| 82 |
+
query,
|
| 83 |
+
key_cache,
|
| 84 |
+
value_cache,
|
| 85 |
+
num_kv_heads,
|
| 86 |
+
scale,
|
| 87 |
+
block_tables,
|
| 88 |
+
seq_lens,
|
| 89 |
+
block_size,
|
| 90 |
+
max_seq_len,
|
| 91 |
+
alibi_slopes,
|
| 92 |
+
kv_cache_dtype,
|
| 93 |
+
k_scale,
|
| 94 |
+
v_scale,
|
| 95 |
+
tp_rank,
|
| 96 |
+
blocksparse_local_blocks,
|
| 97 |
+
blocksparse_vert_stride,
|
| 98 |
+
blocksparse_block_size,
|
| 99 |
+
blocksparse_head_sliding_step,
|
| 100 |
+
)
|
| 101 |
+
|
| 102 |
+
|
| 103 |
+
def reshape_and_cache(
|
| 104 |
+
key: torch.Tensor,
|
| 105 |
+
value: torch.Tensor,
|
| 106 |
+
key_cache: torch.Tensor,
|
| 107 |
+
value_cache: torch.Tensor,
|
| 108 |
+
slot_mapping: torch.Tensor,
|
| 109 |
+
kv_cache_dtype: str,
|
| 110 |
+
k_scale: float,
|
| 111 |
+
v_scale: float,
|
| 112 |
+
) -> None:
|
| 113 |
+
ops.reshape_and_cache(
|
| 114 |
+
key,
|
| 115 |
+
value,
|
| 116 |
+
key_cache,
|
| 117 |
+
value_cache,
|
| 118 |
+
slot_mapping,
|
| 119 |
+
kv_cache_dtype,
|
| 120 |
+
k_scale,
|
| 121 |
+
v_scale,
|
| 122 |
+
)
|
| 123 |
+
|
| 124 |
+
|
| 125 |
+
def reshape_and_cache_flash(
|
| 126 |
+
key: torch.Tensor,
|
| 127 |
+
value: torch.Tensor,
|
| 128 |
+
key_cache: torch.Tensor,
|
| 129 |
+
value_cache: torch.Tensor,
|
| 130 |
+
slot_mapping: torch.Tensor,
|
| 131 |
+
kv_cache_dtype: str,
|
| 132 |
+
k_scale: torch.Tensor,
|
| 133 |
+
v_scale: torch.Tensor,
|
| 134 |
+
) -> None:
|
| 135 |
+
ops.reshape_and_cache_flash(
|
| 136 |
+
key,
|
| 137 |
+
value,
|
| 138 |
+
key_cache,
|
| 139 |
+
value_cache,
|
| 140 |
+
slot_mapping,
|
| 141 |
+
kv_cache_dtype,
|
| 142 |
+
k_scale,
|
| 143 |
+
v_scale,
|
| 144 |
+
)
|
| 145 |
+
|
| 146 |
+
|
| 147 |
+
def copy_blocks(
|
| 148 |
+
key_caches: List[torch.Tensor],
|
| 149 |
+
value_caches: List[torch.Tensor],
|
| 150 |
+
block_mapping: torch.Tensor,
|
| 151 |
+
) -> None:
|
| 152 |
+
ops.copy_blocks(key_caches, value_caches, block_mapping)
|
| 153 |
+
|
| 154 |
+
|
| 155 |
+
def swap_blocks(
|
| 156 |
+
src: torch.Tensor, dst: torch.Tensor, block_mapping: torch.Tensor
|
| 157 |
+
) -> None:
|
| 158 |
+
ops.swap_blocks(src, dst, block_mapping)
|
| 159 |
+
|
| 160 |
+
|
| 161 |
+
def convert_fp8(
|
| 162 |
+
output: torch.Tensor, input: torch.Tensor, scale: float = 1.0, kv_dtype: str = "fp8"
|
| 163 |
+
) -> None:
|
| 164 |
+
ops.convert_fp8(output, input, scale, kv_dtype)
|
| 165 |
+
|
| 166 |
+
|
| 167 |
+
__all__ = [
|
| 168 |
+
"convert_fp8",
|
| 169 |
+
"paged_attention_v1",
|
| 170 |
+
"paged_attention_v2",
|
| 171 |
+
"reshape_and_cache",
|
| 172 |
+
"copy_blocks",
|
| 173 |
+
]
|
build/torch214-cxx11-cu126-x86_64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _paged_attention_cuda_addf474
|
| 3 |
+
ops = torch.ops._paged_attention_cuda_addf474
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_paged_attention_cuda_addf474::{op_name}"
|
build/torch214-cxx11-cu126-x86_64-linux/_paged_attention_cuda_addf474.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a5a6d09db60f636f21fddde32ad1faa7fbdd53ae85ce10cdebbaa43bd1549992
|
| 3 |
+
size 138288776
|
build/torch214-cxx11-cu126-x86_64-linux/metadata.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "paged-attention",
|
| 3 |
+
"id": "_paged_attention_cuda_addf474",
|
| 4 |
+
"version": 1,
|
| 5 |
+
"license": "Apache-2.0",
|
| 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": "oes6jQj02wGGtnJVomIE7ZJr2qnJmOm6CWurue5Vf6w=",
|
| 25 |
+
"_custom_ops.py": "tnC6OR7TPhMV+tt8MyUyIH2gDIdxBzHT+1z1NUhA9EE=",
|
| 26 |
+
"_ops.py": "ljgy4ogthuAfMI0FHeqd6vBDQG9gDf8si+utP/EiYCI=",
|
| 27 |
+
"_paged_attention_cuda_addf474.abi3.so": "pabQnbYPY28h/d3jKtH6p/vdU66FzhDN67qkO9FUmZI=",
|
| 28 |
+
"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
"provenance": {
|
| 32 |
+
"kernel-builder": {
|
| 33 |
+
"version": "0.17.0-dev0",
|
| 34 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 35 |
+
"dirty": false
|
| 36 |
+
},
|
| 37 |
+
"kernel": {
|
| 38 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 39 |
+
"dirty": false
|
| 40 |
+
}
|
| 41 |
+
}
|
| 42 |
+
}
|
build/torch214-cxx11-cu126-x86_64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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|
build/torch214-cxx11-cu126-x86_64-linux/platforms.py
ADDED
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| 1 |
+
import os
|
| 2 |
+
import random
|
| 3 |
+
from abc import ABC, abstractmethod
|
| 4 |
+
from functools import lru_cache, wraps
|
| 5 |
+
from typing import Callable, ParamSpec, TypeVar
|
| 6 |
+
|
| 7 |
+
import numpy as np
|
| 8 |
+
import torch
|
| 9 |
+
|
| 10 |
+
IS_ROCM = torch.version.hip is not None
|
| 11 |
+
IS_MPS = torch.backends.mps.is_available()
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
class Platform(ABC):
|
| 15 |
+
@classmethod
|
| 16 |
+
def seed_everything(cls, seed: int) -> None:
|
| 17 |
+
"""
|
| 18 |
+
Set the seed of each random module.
|
| 19 |
+
`torch.manual_seed` will set seed on all devices.
|
| 20 |
+
|
| 21 |
+
Loosely based on: https://github.com/Lightning-AI/pytorch-lightning/blob/2.4.0/src/lightning/fabric/utilities/seed.py#L20
|
| 22 |
+
"""
|
| 23 |
+
random.seed(seed)
|
| 24 |
+
np.random.seed(seed)
|
| 25 |
+
torch.manual_seed(seed)
|
| 26 |
+
|
| 27 |
+
@abstractmethod
|
| 28 |
+
def get_device_name(self, device_id: int = 0) -> str: ...
|
| 29 |
+
|
| 30 |
+
@abstractmethod
|
| 31 |
+
def is_cuda(self) -> bool: ...
|
| 32 |
+
|
| 33 |
+
@abstractmethod
|
| 34 |
+
def is_rocm(self) -> bool: ...
|
| 35 |
+
|
| 36 |
+
@abstractmethod
|
| 37 |
+
def is_mps(self) -> bool: ...
|
| 38 |
+
|
| 39 |
+
|
| 40 |
+
class CudaPlatform(Platform):
|
| 41 |
+
@classmethod
|
| 42 |
+
@lru_cache(maxsize=8)
|
| 43 |
+
def get_device_name(cls, device_id: int = 0) -> str:
|
| 44 |
+
return torch.cuda.get_device_name(0)
|
| 45 |
+
|
| 46 |
+
def is_cuda(self) -> bool:
|
| 47 |
+
return True
|
| 48 |
+
|
| 49 |
+
def is_rocm(self) -> bool:
|
| 50 |
+
return False
|
| 51 |
+
|
| 52 |
+
def is_mps(self) -> bool:
|
| 53 |
+
return False
|
| 54 |
+
|
| 55 |
+
|
| 56 |
+
class RocmPlatform(Platform):
|
| 57 |
+
@classmethod
|
| 58 |
+
@lru_cache(maxsize=8)
|
| 59 |
+
def get_device_name(cls, device_id: int = 0) -> str:
|
| 60 |
+
return torch.cuda.get_device_name(device_id)
|
| 61 |
+
|
| 62 |
+
def is_cuda(self) -> bool:
|
| 63 |
+
return False
|
| 64 |
+
|
| 65 |
+
def is_rocm(self) -> bool:
|
| 66 |
+
return True
|
| 67 |
+
|
| 68 |
+
def is_mps(self) -> bool:
|
| 69 |
+
return False
|
| 70 |
+
|
| 71 |
+
|
| 72 |
+
class MpsPlatform(Platform):
|
| 73 |
+
@classmethod
|
| 74 |
+
@lru_cache(maxsize=8)
|
| 75 |
+
def get_device_name(cls, device_id: int = 0) -> str:
|
| 76 |
+
return torch.cuda.get_device_name(device_id)
|
| 77 |
+
|
| 78 |
+
def is_cuda(self) -> bool:
|
| 79 |
+
return False
|
| 80 |
+
|
| 81 |
+
def is_rocm(self) -> bool:
|
| 82 |
+
return False
|
| 83 |
+
|
| 84 |
+
def is_mps(self) -> bool:
|
| 85 |
+
return True
|
| 86 |
+
|
| 87 |
+
current_platform = (
|
| 88 |
+
RocmPlatform() if IS_ROCM else
|
| 89 |
+
MpsPlatform() if IS_MPS else
|
| 90 |
+
CudaPlatform() if torch.cuda.is_available() else
|
| 91 |
+
None
|
| 92 |
+
)
|
build/torch214-cxx11-cu130-x86_64-linux/__init__.py
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from ._custom_ops import (
|
| 2 |
+
convert_fp8,
|
| 3 |
+
copy_blocks,
|
| 4 |
+
paged_attention_v1,
|
| 5 |
+
paged_attention_v2,
|
| 6 |
+
reshape_and_cache,
|
| 7 |
+
reshape_and_cache_flash,
|
| 8 |
+
swap_blocks,
|
| 9 |
+
)
|
| 10 |
+
from ._ops import ops
|
| 11 |
+
|
| 12 |
+
__all__ = [
|
| 13 |
+
"convert_fp8",
|
| 14 |
+
"copy_blocks",
|
| 15 |
+
"ops",
|
| 16 |
+
"paged_attention_v1",
|
| 17 |
+
"paged_attention_v2",
|
| 18 |
+
"reshape_and_cache",
|
| 19 |
+
"reshape_and_cache_flash",
|
| 20 |
+
"swap_blocks",
|
| 21 |
+
]
|
build/torch214-cxx11-cu130-x86_64-linux/_custom_ops.py
ADDED
|
@@ -0,0 +1,173 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from typing import List, Optional
|
| 2 |
+
|
| 3 |
+
import torch
|
| 4 |
+
|
| 5 |
+
from ._ops import ops
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
# page attention ops
|
| 9 |
+
def paged_attention_v1(
|
| 10 |
+
out: torch.Tensor,
|
| 11 |
+
query: torch.Tensor,
|
| 12 |
+
key_cache: torch.Tensor,
|
| 13 |
+
value_cache: torch.Tensor,
|
| 14 |
+
num_kv_heads: int,
|
| 15 |
+
scale: float,
|
| 16 |
+
block_tables: torch.Tensor,
|
| 17 |
+
seq_lens: torch.Tensor,
|
| 18 |
+
block_size: int,
|
| 19 |
+
max_seq_len: int,
|
| 20 |
+
alibi_slopes: Optional[torch.Tensor],
|
| 21 |
+
kv_cache_dtype: str,
|
| 22 |
+
k_scale: float,
|
| 23 |
+
v_scale: float,
|
| 24 |
+
tp_rank: int = 0,
|
| 25 |
+
blocksparse_local_blocks: int = 0,
|
| 26 |
+
blocksparse_vert_stride: int = 0,
|
| 27 |
+
blocksparse_block_size: int = 64,
|
| 28 |
+
blocksparse_head_sliding_step: int = 0,
|
| 29 |
+
) -> None:
|
| 30 |
+
ops.paged_attention_v1(
|
| 31 |
+
out,
|
| 32 |
+
query,
|
| 33 |
+
key_cache,
|
| 34 |
+
value_cache,
|
| 35 |
+
num_kv_heads,
|
| 36 |
+
scale,
|
| 37 |
+
block_tables,
|
| 38 |
+
seq_lens,
|
| 39 |
+
block_size,
|
| 40 |
+
max_seq_len,
|
| 41 |
+
alibi_slopes,
|
| 42 |
+
kv_cache_dtype,
|
| 43 |
+
k_scale,
|
| 44 |
+
v_scale,
|
| 45 |
+
tp_rank,
|
| 46 |
+
blocksparse_local_blocks,
|
| 47 |
+
blocksparse_vert_stride,
|
| 48 |
+
blocksparse_block_size,
|
| 49 |
+
blocksparse_head_sliding_step,
|
| 50 |
+
)
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
def paged_attention_v2(
|
| 54 |
+
out: torch.Tensor,
|
| 55 |
+
exp_sum: torch.Tensor,
|
| 56 |
+
max_logits: torch.Tensor,
|
| 57 |
+
tmp_out: torch.Tensor,
|
| 58 |
+
query: torch.Tensor,
|
| 59 |
+
key_cache: torch.Tensor,
|
| 60 |
+
value_cache: torch.Tensor,
|
| 61 |
+
num_kv_heads: int,
|
| 62 |
+
scale: float,
|
| 63 |
+
block_tables: torch.Tensor,
|
| 64 |
+
seq_lens: torch.Tensor,
|
| 65 |
+
block_size: int,
|
| 66 |
+
max_seq_len: int,
|
| 67 |
+
alibi_slopes: Optional[torch.Tensor],
|
| 68 |
+
kv_cache_dtype: str,
|
| 69 |
+
k_scale: float,
|
| 70 |
+
v_scale: float,
|
| 71 |
+
tp_rank: int = 0,
|
| 72 |
+
blocksparse_local_blocks: int = 0,
|
| 73 |
+
blocksparse_vert_stride: int = 0,
|
| 74 |
+
blocksparse_block_size: int = 64,
|
| 75 |
+
blocksparse_head_sliding_step: int = 0,
|
| 76 |
+
) -> None:
|
| 77 |
+
ops.paged_attention_v2(
|
| 78 |
+
out,
|
| 79 |
+
exp_sum,
|
| 80 |
+
max_logits,
|
| 81 |
+
tmp_out,
|
| 82 |
+
query,
|
| 83 |
+
key_cache,
|
| 84 |
+
value_cache,
|
| 85 |
+
num_kv_heads,
|
| 86 |
+
scale,
|
| 87 |
+
block_tables,
|
| 88 |
+
seq_lens,
|
| 89 |
+
block_size,
|
| 90 |
+
max_seq_len,
|
| 91 |
+
alibi_slopes,
|
| 92 |
+
kv_cache_dtype,
|
| 93 |
+
k_scale,
|
| 94 |
+
v_scale,
|
| 95 |
+
tp_rank,
|
| 96 |
+
blocksparse_local_blocks,
|
| 97 |
+
blocksparse_vert_stride,
|
| 98 |
+
blocksparse_block_size,
|
| 99 |
+
blocksparse_head_sliding_step,
|
| 100 |
+
)
|
| 101 |
+
|
| 102 |
+
|
| 103 |
+
def reshape_and_cache(
|
| 104 |
+
key: torch.Tensor,
|
| 105 |
+
value: torch.Tensor,
|
| 106 |
+
key_cache: torch.Tensor,
|
| 107 |
+
value_cache: torch.Tensor,
|
| 108 |
+
slot_mapping: torch.Tensor,
|
| 109 |
+
kv_cache_dtype: str,
|
| 110 |
+
k_scale: float,
|
| 111 |
+
v_scale: float,
|
| 112 |
+
) -> None:
|
| 113 |
+
ops.reshape_and_cache(
|
| 114 |
+
key,
|
| 115 |
+
value,
|
| 116 |
+
key_cache,
|
| 117 |
+
value_cache,
|
| 118 |
+
slot_mapping,
|
| 119 |
+
kv_cache_dtype,
|
| 120 |
+
k_scale,
|
| 121 |
+
v_scale,
|
| 122 |
+
)
|
| 123 |
+
|
| 124 |
+
|
| 125 |
+
def reshape_and_cache_flash(
|
| 126 |
+
key: torch.Tensor,
|
| 127 |
+
value: torch.Tensor,
|
| 128 |
+
key_cache: torch.Tensor,
|
| 129 |
+
value_cache: torch.Tensor,
|
| 130 |
+
slot_mapping: torch.Tensor,
|
| 131 |
+
kv_cache_dtype: str,
|
| 132 |
+
k_scale: torch.Tensor,
|
| 133 |
+
v_scale: torch.Tensor,
|
| 134 |
+
) -> None:
|
| 135 |
+
ops.reshape_and_cache_flash(
|
| 136 |
+
key,
|
| 137 |
+
value,
|
| 138 |
+
key_cache,
|
| 139 |
+
value_cache,
|
| 140 |
+
slot_mapping,
|
| 141 |
+
kv_cache_dtype,
|
| 142 |
+
k_scale,
|
| 143 |
+
v_scale,
|
| 144 |
+
)
|
| 145 |
+
|
| 146 |
+
|
| 147 |
+
def copy_blocks(
|
| 148 |
+
key_caches: List[torch.Tensor],
|
| 149 |
+
value_caches: List[torch.Tensor],
|
| 150 |
+
block_mapping: torch.Tensor,
|
| 151 |
+
) -> None:
|
| 152 |
+
ops.copy_blocks(key_caches, value_caches, block_mapping)
|
| 153 |
+
|
| 154 |
+
|
| 155 |
+
def swap_blocks(
|
| 156 |
+
src: torch.Tensor, dst: torch.Tensor, block_mapping: torch.Tensor
|
| 157 |
+
) -> None:
|
| 158 |
+
ops.swap_blocks(src, dst, block_mapping)
|
| 159 |
+
|
| 160 |
+
|
| 161 |
+
def convert_fp8(
|
| 162 |
+
output: torch.Tensor, input: torch.Tensor, scale: float = 1.0, kv_dtype: str = "fp8"
|
| 163 |
+
) -> None:
|
| 164 |
+
ops.convert_fp8(output, input, scale, kv_dtype)
|
| 165 |
+
|
| 166 |
+
|
| 167 |
+
__all__ = [
|
| 168 |
+
"convert_fp8",
|
| 169 |
+
"paged_attention_v1",
|
| 170 |
+
"paged_attention_v2",
|
| 171 |
+
"reshape_and_cache",
|
| 172 |
+
"copy_blocks",
|
| 173 |
+
]
|
build/torch214-cxx11-cu130-x86_64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _paged_attention_cuda_addf474
|
| 3 |
+
ops = torch.ops._paged_attention_cuda_addf474
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_paged_attention_cuda_addf474::{op_name}"
|
build/torch214-cxx11-cu130-x86_64-linux/_paged_attention_cuda_addf474.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b0acbc31e83226adada8dbb66c12a67bdf25049d11459891e5428e17dc5f2b80
|
| 3 |
+
size 97820480
|
build/torch214-cxx11-cu130-x86_64-linux/metadata.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "paged-attention",
|
| 3 |
+
"id": "_paged_attention_cuda_addf474",
|
| 4 |
+
"version": 1,
|
| 5 |
+
"license": "Apache-2.0",
|
| 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": "oes6jQj02wGGtnJVomIE7ZJr2qnJmOm6CWurue5Vf6w=",
|
| 28 |
+
"_custom_ops.py": "tnC6OR7TPhMV+tt8MyUyIH2gDIdxBzHT+1z1NUhA9EE=",
|
| 29 |
+
"_ops.py": "ljgy4ogthuAfMI0FHeqd6vBDQG9gDf8si+utP/EiYCI=",
|
| 30 |
+
"_paged_attention_cuda_addf474.abi3.so": "sKy8MegyJq2tqNu2bBKme98lBJ0RRZiR5UKOF9xfK4A=",
|
| 31 |
+
"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
|
| 32 |
+
}
|
| 33 |
+
},
|
| 34 |
+
"provenance": {
|
| 35 |
+
"kernel-builder": {
|
| 36 |
+
"version": "0.17.0-dev0",
|
| 37 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 38 |
+
"dirty": false
|
| 39 |
+
},
|
| 40 |
+
"kernel": {
|
| 41 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 42 |
+
"dirty": false
|
| 43 |
+
}
|
| 44 |
+
}
|
| 45 |
+
}
|
build/torch214-cxx11-cu130-x86_64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
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"timestampVerificationData":{"rfc3161Timestamps":[{"signedTimestamp":"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"}]}}, "messageSignature":{"messageDigest":{"algorithm":"SHA2_256", "digest":"KzjI4K4MyTdz8ugySMt8KFtmxwkmt2QH/kVYhj6Wgec="}, "signature":"MEQCIAVf+k3aFwjMWiKLem154hXIfWmDy3VrwGYFPelERh7sAiACH9HnnF+TJP/9inKo0+wfSHu4hjiF2TG/AJWIPQqKSw=="}}
|
build/torch214-cxx11-cu130-x86_64-linux/platforms.py
ADDED
|
@@ -0,0 +1,92 @@
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|
| 1 |
+
import os
|
| 2 |
+
import random
|
| 3 |
+
from abc import ABC, abstractmethod
|
| 4 |
+
from functools import lru_cache, wraps
|
| 5 |
+
from typing import Callable, ParamSpec, TypeVar
|
| 6 |
+
|
| 7 |
+
import numpy as np
|
| 8 |
+
import torch
|
| 9 |
+
|
| 10 |
+
IS_ROCM = torch.version.hip is not None
|
| 11 |
+
IS_MPS = torch.backends.mps.is_available()
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
class Platform(ABC):
|
| 15 |
+
@classmethod
|
| 16 |
+
def seed_everything(cls, seed: int) -> None:
|
| 17 |
+
"""
|
| 18 |
+
Set the seed of each random module.
|
| 19 |
+
`torch.manual_seed` will set seed on all devices.
|
| 20 |
+
|
| 21 |
+
Loosely based on: https://github.com/Lightning-AI/pytorch-lightning/blob/2.4.0/src/lightning/fabric/utilities/seed.py#L20
|
| 22 |
+
"""
|
| 23 |
+
random.seed(seed)
|
| 24 |
+
np.random.seed(seed)
|
| 25 |
+
torch.manual_seed(seed)
|
| 26 |
+
|
| 27 |
+
@abstractmethod
|
| 28 |
+
def get_device_name(self, device_id: int = 0) -> str: ...
|
| 29 |
+
|
| 30 |
+
@abstractmethod
|
| 31 |
+
def is_cuda(self) -> bool: ...
|
| 32 |
+
|
| 33 |
+
@abstractmethod
|
| 34 |
+
def is_rocm(self) -> bool: ...
|
| 35 |
+
|
| 36 |
+
@abstractmethod
|
| 37 |
+
def is_mps(self) -> bool: ...
|
| 38 |
+
|
| 39 |
+
|
| 40 |
+
class CudaPlatform(Platform):
|
| 41 |
+
@classmethod
|
| 42 |
+
@lru_cache(maxsize=8)
|
| 43 |
+
def get_device_name(cls, device_id: int = 0) -> str:
|
| 44 |
+
return torch.cuda.get_device_name(0)
|
| 45 |
+
|
| 46 |
+
def is_cuda(self) -> bool:
|
| 47 |
+
return True
|
| 48 |
+
|
| 49 |
+
def is_rocm(self) -> bool:
|
| 50 |
+
return False
|
| 51 |
+
|
| 52 |
+
def is_mps(self) -> bool:
|
| 53 |
+
return False
|
| 54 |
+
|
| 55 |
+
|
| 56 |
+
class RocmPlatform(Platform):
|
| 57 |
+
@classmethod
|
| 58 |
+
@lru_cache(maxsize=8)
|
| 59 |
+
def get_device_name(cls, device_id: int = 0) -> str:
|
| 60 |
+
return torch.cuda.get_device_name(device_id)
|
| 61 |
+
|
| 62 |
+
def is_cuda(self) -> bool:
|
| 63 |
+
return False
|
| 64 |
+
|
| 65 |
+
def is_rocm(self) -> bool:
|
| 66 |
+
return True
|
| 67 |
+
|
| 68 |
+
def is_mps(self) -> bool:
|
| 69 |
+
return False
|
| 70 |
+
|
| 71 |
+
|
| 72 |
+
class MpsPlatform(Platform):
|
| 73 |
+
@classmethod
|
| 74 |
+
@lru_cache(maxsize=8)
|
| 75 |
+
def get_device_name(cls, device_id: int = 0) -> str:
|
| 76 |
+
return torch.cuda.get_device_name(device_id)
|
| 77 |
+
|
| 78 |
+
def is_cuda(self) -> bool:
|
| 79 |
+
return False
|
| 80 |
+
|
| 81 |
+
def is_rocm(self) -> bool:
|
| 82 |
+
return False
|
| 83 |
+
|
| 84 |
+
def is_mps(self) -> bool:
|
| 85 |
+
return True
|
| 86 |
+
|
| 87 |
+
current_platform = (
|
| 88 |
+
RocmPlatform() if IS_ROCM else
|
| 89 |
+
MpsPlatform() if IS_MPS else
|
| 90 |
+
CudaPlatform() if torch.cuda.is_available() else
|
| 91 |
+
None
|
| 92 |
+
)
|
build/torch214-cxx11-cu132-x86_64-linux/__init__.py
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from ._custom_ops import (
|
| 2 |
+
convert_fp8,
|
| 3 |
+
copy_blocks,
|
| 4 |
+
paged_attention_v1,
|
| 5 |
+
paged_attention_v2,
|
| 6 |
+
reshape_and_cache,
|
| 7 |
+
reshape_and_cache_flash,
|
| 8 |
+
swap_blocks,
|
| 9 |
+
)
|
| 10 |
+
from ._ops import ops
|
| 11 |
+
|
| 12 |
+
__all__ = [
|
| 13 |
+
"convert_fp8",
|
| 14 |
+
"copy_blocks",
|
| 15 |
+
"ops",
|
| 16 |
+
"paged_attention_v1",
|
| 17 |
+
"paged_attention_v2",
|
| 18 |
+
"reshape_and_cache",
|
| 19 |
+
"reshape_and_cache_flash",
|
| 20 |
+
"swap_blocks",
|
| 21 |
+
]
|
build/torch214-cxx11-cu132-x86_64-linux/_custom_ops.py
ADDED
|
@@ -0,0 +1,173 @@
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
+
from typing import List, Optional
|
| 2 |
+
|
| 3 |
+
import torch
|
| 4 |
+
|
| 5 |
+
from ._ops import ops
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
# page attention ops
|
| 9 |
+
def paged_attention_v1(
|
| 10 |
+
out: torch.Tensor,
|
| 11 |
+
query: torch.Tensor,
|
| 12 |
+
key_cache: torch.Tensor,
|
| 13 |
+
value_cache: torch.Tensor,
|
| 14 |
+
num_kv_heads: int,
|
| 15 |
+
scale: float,
|
| 16 |
+
block_tables: torch.Tensor,
|
| 17 |
+
seq_lens: torch.Tensor,
|
| 18 |
+
block_size: int,
|
| 19 |
+
max_seq_len: int,
|
| 20 |
+
alibi_slopes: Optional[torch.Tensor],
|
| 21 |
+
kv_cache_dtype: str,
|
| 22 |
+
k_scale: float,
|
| 23 |
+
v_scale: float,
|
| 24 |
+
tp_rank: int = 0,
|
| 25 |
+
blocksparse_local_blocks: int = 0,
|
| 26 |
+
blocksparse_vert_stride: int = 0,
|
| 27 |
+
blocksparse_block_size: int = 64,
|
| 28 |
+
blocksparse_head_sliding_step: int = 0,
|
| 29 |
+
) -> None:
|
| 30 |
+
ops.paged_attention_v1(
|
| 31 |
+
out,
|
| 32 |
+
query,
|
| 33 |
+
key_cache,
|
| 34 |
+
value_cache,
|
| 35 |
+
num_kv_heads,
|
| 36 |
+
scale,
|
| 37 |
+
block_tables,
|
| 38 |
+
seq_lens,
|
| 39 |
+
block_size,
|
| 40 |
+
max_seq_len,
|
| 41 |
+
alibi_slopes,
|
| 42 |
+
kv_cache_dtype,
|
| 43 |
+
k_scale,
|
| 44 |
+
v_scale,
|
| 45 |
+
tp_rank,
|
| 46 |
+
blocksparse_local_blocks,
|
| 47 |
+
blocksparse_vert_stride,
|
| 48 |
+
blocksparse_block_size,
|
| 49 |
+
blocksparse_head_sliding_step,
|
| 50 |
+
)
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
def paged_attention_v2(
|
| 54 |
+
out: torch.Tensor,
|
| 55 |
+
exp_sum: torch.Tensor,
|
| 56 |
+
max_logits: torch.Tensor,
|
| 57 |
+
tmp_out: torch.Tensor,
|
| 58 |
+
query: torch.Tensor,
|
| 59 |
+
key_cache: torch.Tensor,
|
| 60 |
+
value_cache: torch.Tensor,
|
| 61 |
+
num_kv_heads: int,
|
| 62 |
+
scale: float,
|
| 63 |
+
block_tables: torch.Tensor,
|
| 64 |
+
seq_lens: torch.Tensor,
|
| 65 |
+
block_size: int,
|
| 66 |
+
max_seq_len: int,
|
| 67 |
+
alibi_slopes: Optional[torch.Tensor],
|
| 68 |
+
kv_cache_dtype: str,
|
| 69 |
+
k_scale: float,
|
| 70 |
+
v_scale: float,
|
| 71 |
+
tp_rank: int = 0,
|
| 72 |
+
blocksparse_local_blocks: int = 0,
|
| 73 |
+
blocksparse_vert_stride: int = 0,
|
| 74 |
+
blocksparse_block_size: int = 64,
|
| 75 |
+
blocksparse_head_sliding_step: int = 0,
|
| 76 |
+
) -> None:
|
| 77 |
+
ops.paged_attention_v2(
|
| 78 |
+
out,
|
| 79 |
+
exp_sum,
|
| 80 |
+
max_logits,
|
| 81 |
+
tmp_out,
|
| 82 |
+
query,
|
| 83 |
+
key_cache,
|
| 84 |
+
value_cache,
|
| 85 |
+
num_kv_heads,
|
| 86 |
+
scale,
|
| 87 |
+
block_tables,
|
| 88 |
+
seq_lens,
|
| 89 |
+
block_size,
|
| 90 |
+
max_seq_len,
|
| 91 |
+
alibi_slopes,
|
| 92 |
+
kv_cache_dtype,
|
| 93 |
+
k_scale,
|
| 94 |
+
v_scale,
|
| 95 |
+
tp_rank,
|
| 96 |
+
blocksparse_local_blocks,
|
| 97 |
+
blocksparse_vert_stride,
|
| 98 |
+
blocksparse_block_size,
|
| 99 |
+
blocksparse_head_sliding_step,
|
| 100 |
+
)
|
| 101 |
+
|
| 102 |
+
|
| 103 |
+
def reshape_and_cache(
|
| 104 |
+
key: torch.Tensor,
|
| 105 |
+
value: torch.Tensor,
|
| 106 |
+
key_cache: torch.Tensor,
|
| 107 |
+
value_cache: torch.Tensor,
|
| 108 |
+
slot_mapping: torch.Tensor,
|
| 109 |
+
kv_cache_dtype: str,
|
| 110 |
+
k_scale: float,
|
| 111 |
+
v_scale: float,
|
| 112 |
+
) -> None:
|
| 113 |
+
ops.reshape_and_cache(
|
| 114 |
+
key,
|
| 115 |
+
value,
|
| 116 |
+
key_cache,
|
| 117 |
+
value_cache,
|
| 118 |
+
slot_mapping,
|
| 119 |
+
kv_cache_dtype,
|
| 120 |
+
k_scale,
|
| 121 |
+
v_scale,
|
| 122 |
+
)
|
| 123 |
+
|
| 124 |
+
|
| 125 |
+
def reshape_and_cache_flash(
|
| 126 |
+
key: torch.Tensor,
|
| 127 |
+
value: torch.Tensor,
|
| 128 |
+
key_cache: torch.Tensor,
|
| 129 |
+
value_cache: torch.Tensor,
|
| 130 |
+
slot_mapping: torch.Tensor,
|
| 131 |
+
kv_cache_dtype: str,
|
| 132 |
+
k_scale: torch.Tensor,
|
| 133 |
+
v_scale: torch.Tensor,
|
| 134 |
+
) -> None:
|
| 135 |
+
ops.reshape_and_cache_flash(
|
| 136 |
+
key,
|
| 137 |
+
value,
|
| 138 |
+
key_cache,
|
| 139 |
+
value_cache,
|
| 140 |
+
slot_mapping,
|
| 141 |
+
kv_cache_dtype,
|
| 142 |
+
k_scale,
|
| 143 |
+
v_scale,
|
| 144 |
+
)
|
| 145 |
+
|
| 146 |
+
|
| 147 |
+
def copy_blocks(
|
| 148 |
+
key_caches: List[torch.Tensor],
|
| 149 |
+
value_caches: List[torch.Tensor],
|
| 150 |
+
block_mapping: torch.Tensor,
|
| 151 |
+
) -> None:
|
| 152 |
+
ops.copy_blocks(key_caches, value_caches, block_mapping)
|
| 153 |
+
|
| 154 |
+
|
| 155 |
+
def swap_blocks(
|
| 156 |
+
src: torch.Tensor, dst: torch.Tensor, block_mapping: torch.Tensor
|
| 157 |
+
) -> None:
|
| 158 |
+
ops.swap_blocks(src, dst, block_mapping)
|
| 159 |
+
|
| 160 |
+
|
| 161 |
+
def convert_fp8(
|
| 162 |
+
output: torch.Tensor, input: torch.Tensor, scale: float = 1.0, kv_dtype: str = "fp8"
|
| 163 |
+
) -> None:
|
| 164 |
+
ops.convert_fp8(output, input, scale, kv_dtype)
|
| 165 |
+
|
| 166 |
+
|
| 167 |
+
__all__ = [
|
| 168 |
+
"convert_fp8",
|
| 169 |
+
"paged_attention_v1",
|
| 170 |
+
"paged_attention_v2",
|
| 171 |
+
"reshape_and_cache",
|
| 172 |
+
"copy_blocks",
|
| 173 |
+
]
|
build/torch214-cxx11-cu132-x86_64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _paged_attention_cuda_addf474
|
| 3 |
+
ops = torch.ops._paged_attention_cuda_addf474
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_paged_attention_cuda_addf474::{op_name}"
|
build/torch214-cxx11-cu132-x86_64-linux/_paged_attention_cuda_addf474.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0c628ffa1c06553e23a411aefa2d914ba5cd2b6d9b94530a104e347ec1200efd
|
| 3 |
+
size 96651728
|
build/torch214-cxx11-cu132-x86_64-linux/metadata.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "paged-attention",
|
| 3 |
+
"id": "_paged_attention_cuda_addf474",
|
| 4 |
+
"version": 1,
|
| 5 |
+
"license": "Apache-2.0",
|
| 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": "oes6jQj02wGGtnJVomIE7ZJr2qnJmOm6CWurue5Vf6w=",
|
| 28 |
+
"_custom_ops.py": "tnC6OR7TPhMV+tt8MyUyIH2gDIdxBzHT+1z1NUhA9EE=",
|
| 29 |
+
"_ops.py": "ljgy4ogthuAfMI0FHeqd6vBDQG9gDf8si+utP/EiYCI=",
|
| 30 |
+
"_paged_attention_cuda_addf474.abi3.so": "DGKP+hwGVT4jpBGu+i2RS6XNK22blFMKEE40fsEgDv0=",
|
| 31 |
+
"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
|
| 32 |
+
}
|
| 33 |
+
},
|
| 34 |
+
"provenance": {
|
| 35 |
+
"kernel-builder": {
|
| 36 |
+
"version": "0.17.0-dev0",
|
| 37 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 38 |
+
"dirty": false
|
| 39 |
+
},
|
| 40 |
+
"kernel": {
|
| 41 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 42 |
+
"dirty": false
|
| 43 |
+
}
|
| 44 |
+
}
|
| 45 |
+
}
|
build/torch214-cxx11-cu132-x86_64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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