Kernels:
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- build/torch212-cxx11-cu126-aarch64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu126-aarch64-linux/{_paged_attention_cuda_8a730d9.abi3.so → _paged_attention_cuda_addf474.abi3.so} +1 -1
- build/torch212-cxx11-cu126-aarch64-linux/metadata.json +6 -6
- build/torch212-cxx11-cu126-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch212-cxx11-cu126-aarch64-linux/paged_attention/__init__.py +0 -26
- build/torch212-cxx11-cu130-aarch64-linux/_ops.py +3 -3
- build/{torch213-cxx11-cu130-aarch64-linux/_paged_attention_cuda_8a730d9.abi3.so → torch212-cxx11-cu130-aarch64-linux/_paged_attention_cuda_addf474.abi3.so} +2 -2
- build/torch212-cxx11-cu130-aarch64-linux/metadata.json +7 -6
- build/torch212-cxx11-cu130-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch212-cxx11-cu130-aarch64-linux/paged_attention/__init__.py +0 -26
- build/torch212-cxx11-cu132-aarch64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu132-aarch64-linux/{_paged_attention_cuda_8a730d9.abi3.so → _paged_attention_cuda_addf474.abi3.so} +2 -2
- build/torch212-cxx11-cu132-aarch64-linux/metadata.json +7 -6
- build/torch212-cxx11-cu132-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch212-cxx11-cu132-aarch64-linux/paged_attention/__init__.py +0 -26
- build/torch213-cxx11-cu126-aarch64-linux/_ops.py +3 -3
- build/torch213-cxx11-cu126-aarch64-linux/{_paged_attention_cuda_8a730d9.abi3.so → _paged_attention_cuda_addf474.abi3.so} +1 -1
- build/torch213-cxx11-cu126-aarch64-linux/metadata.json +6 -6
- build/torch213-cxx11-cu126-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch213-cxx11-cu126-aarch64-linux/paged_attention/__init__.py +0 -26
- build/torch213-cxx11-cu130-aarch64-linux/_ops.py +3 -3
- build/{torch212-cxx11-cu130-aarch64-linux/_paged_attention_cuda_8a730d9.abi3.so → torch213-cxx11-cu130-aarch64-linux/_paged_attention_cuda_addf474.abi3.so} +2 -2
- build/torch213-cxx11-cu130-aarch64-linux/metadata.json +7 -6
- build/torch213-cxx11-cu130-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch213-cxx11-cu130-aarch64-linux/paged_attention/__init__.py +0 -26
- build/torch213-cxx11-cu132-aarch64-linux/_ops.py +3 -3
- build/torch213-cxx11-cu132-aarch64-linux/{_paged_attention_cuda_8a730d9.abi3.so → _paged_attention_cuda_addf474.abi3.so} +2 -2
- build/torch213-cxx11-cu132-aarch64-linux/metadata.json +7 -6
- build/torch213-cxx11-cu132-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch213-cxx11-cu132-aarch64-linux/paged_attention/__init__.py +0 -26
- build/torch214-cxx11-cu126-aarch64-linux/__init__.py +21 -0
- build/torch214-cxx11-cu126-aarch64-linux/_custom_ops.py +173 -0
- build/torch214-cxx11-cu126-aarch64-linux/_ops.py +9 -0
- build/torch214-cxx11-cu126-aarch64-linux/_paged_attention_cuda_addf474.abi3.so +3 -0
- build/torch214-cxx11-cu126-aarch64-linux/metadata.json +42 -0
- build/torch214-cxx11-cu126-aarch64-linux/metadata.json.sigstore +1 -0
- build/torch214-cxx11-cu126-aarch64-linux/platforms.py +92 -0
- build/torch214-cxx11-cu130-aarch64-linux/__init__.py +21 -0
- build/torch214-cxx11-cu130-aarch64-linux/_custom_ops.py +173 -0
- build/torch214-cxx11-cu130-aarch64-linux/_ops.py +9 -0
- build/torch214-cxx11-cu130-aarch64-linux/_paged_attention_cuda_addf474.abi3.so +3 -0
- build/torch214-cxx11-cu130-aarch64-linux/metadata.json +45 -0
- build/torch214-cxx11-cu130-aarch64-linux/metadata.json.sigstore +1 -0
- build/torch214-cxx11-cu130-aarch64-linux/platforms.py +92 -0
- build/torch214-cxx11-cu132-aarch64-linux/__init__.py +21 -0
- build/torch214-cxx11-cu132-aarch64-linux/_custom_ops.py +173 -0
- build/torch214-cxx11-cu132-aarch64-linux/_ops.py +9 -0
- build/torch214-cxx11-cu132-aarch64-linux/_paged_attention_cuda_addf474.abi3.so +3 -0
- build/torch214-cxx11-cu132-aarch64-linux/metadata.json +45 -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 _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-aarch64-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 138067384
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version https://git-lfs.github.com/spec/v1
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size 138067384
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build/torch212-cxx11-cu126-aarch64-linux/metadata.json
CHANGED
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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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build/torch212-cxx11-cu126-aarch64-linux/metadata.json.sigstore
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build/torch212-cxx11-cu126-aarch64-linux/paged_attention/__init__.py
DELETED
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@@ -1,26 +0,0 @@
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| 1 |
-
import ctypes
|
| 2 |
-
import importlib.util
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| 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/torch212-cxx11-cu130-aarch64-linux/_ops.py
CHANGED
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@@ -1,9 +1,9 @@
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| 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-aarch64-linux/_paged_attention_cuda_8a730d9.abi3.so → torch212-cxx11-cu130-aarch64-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 sha256:76c94efe50256877d11649ed499e8906f3e0574a7831c292727b4e702e1ac516
|
| 3 |
+
size 97230312
|
build/torch212-cxx11-cu130-aarch64-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=",
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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": "dslO/lAlaHfRFkntSZ6JBvPgV0p4McKScntOcC4axRY=",
|
|
|
|
| 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 |
}
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| 44 |
}
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build/torch212-cxx11-cu130-aarch64-linux/paged_attention/__init__.py
DELETED
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@@ -1,26 +0,0 @@
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| 1 |
-
import ctypes
|
| 2 |
-
import importlib.util
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| 3 |
-
import sys
|
| 4 |
-
from pathlib import Path
|
| 5 |
-
from types import ModuleType
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| 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/torch212-cxx11-cu132-aarch64-linux/_ops.py
CHANGED
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@@ -1,9 +1,9 @@
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| 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-aarch64-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 sha256:6926012d2f7813eba37423bb0c55487428cb469ad70ade5bb013c6bc12b2a82b
|
| 3 |
+
size 96119288
|
build/torch212-cxx11-cu132-aarch64-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 |
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"_paged_attention_cuda_addf474.abi3.so": "aSYBLS94E+ujdCO7DFVIdCjLRprXCt5bsBPGvBKyqCs=",
|
|
|
|
| 31 |
"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
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| 32 |
}
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| 33 |
},
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| 34 |
"provenance": {
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| 35 |
"kernel-builder": {
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| 36 |
"version": "0.17.0-dev0",
|
| 37 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
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| 38 |
"dirty": false
|
| 39 |
},
|
| 40 |
"kernel": {
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+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
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| 42 |
"dirty": false
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|
build/torch212-cxx11-cu132-aarch64-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
|
| 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)
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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
|
| 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/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 _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-aarch64-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 138067488
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:df0f4c0590737bccba922904822a9037a2a60594854932c7d88ecf5d9199f768
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| 3 |
size 138067488
|
build/torch213-cxx11-cu126-aarch64-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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| 29 |
}
|
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},
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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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| 34 |
-
"
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| 35 |
"dirty": false
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| 36 |
},
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"kernel": {
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| 38 |
-
"
|
| 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",
|
| 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": "3w9MBZBze8y6kikEgiqQN6KmBZSFSTLH2I7PXZGZ92g=",
|
|
|
|
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"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
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| 29 |
}
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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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| 35 |
"dirty": false
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},
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"kernel": {
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| 39 |
"dirty": false
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build/torch213-cxx11-cu126-aarch64-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)
|
| 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
|
| 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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|
|
|
|
|
|
|
|
|
|
|
|
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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 _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-aarch64-linux/_paged_attention_cuda_8a730d9.abi3.so → torch213-cxx11-cu130-aarch64-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:
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| 3 |
-
size
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|
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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+
oid sha256:8e0e72d7dc1bad37c74e3804d623a04d1b1565d2e8c12023cfa81372df77208c
|
| 3 |
+
size 97296072
|
build/torch213-cxx11-cu130-aarch64-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",
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| 9 |
"archs": [
|
| 10 |
"10.0",
|
|
|
|
| 11 |
"11.0",
|
| 12 |
"12.0",
|
| 13 |
"12.1+PTX",
|
|
@@ -24,20 +26,19 @@
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|
| 24 |
"files": {
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| 25 |
"__init__.py": "oes6jQj02wGGtnJVomIE7ZJr2qnJmOm6CWurue5Vf6w=",
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"_custom_ops.py": "tnC6OR7TPhMV+tt8MyUyIH2gDIdxBzHT+1z1NUhA9EE=",
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-
"_ops.py": "
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| 28 |
-
"
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"paged_attention/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
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"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
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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",
|
| 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",
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| 13 |
"11.0",
|
| 14 |
"12.0",
|
| 15 |
"12.1+PTX",
|
|
|
|
| 26 |
"files": {
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| 27 |
"__init__.py": "oes6jQj02wGGtnJVomIE7ZJr2qnJmOm6CWurue5Vf6w=",
|
| 28 |
"_custom_ops.py": "tnC6OR7TPhMV+tt8MyUyIH2gDIdxBzHT+1z1NUhA9EE=",
|
| 29 |
+
"_ops.py": "ljgy4ogthuAfMI0FHeqd6vBDQG9gDf8si+utP/EiYCI=",
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| 30 |
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"_paged_attention_cuda_addf474.abi3.so": "jg5y19wbrTfHTjgE1iOgTRsVZdLowSAjz6gTct93IIw=",
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"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
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| 32 |
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"provenance": {
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| 35 |
"kernel-builder": {
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| 36 |
"version": "0.17.0-dev0",
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| 37 |
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"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
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| 38 |
"dirty": false
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| 39 |
},
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| 40 |
"kernel": {
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"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
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"dirty": false
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build/torch213-cxx11-cu130-aarch64-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
|
| 12 |
-
# the path.
|
| 13 |
-
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 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
|
| 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-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 _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-aarch64-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:
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| 3 |
-
size
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|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:cde9a51549bdb56981046a6483c198137f300fbbb363d3a62a1711822f6207bf
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| 3 |
+
size 96119392
|
build/torch213-cxx11-cu132-aarch64-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": {
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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 @@
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|
| 24 |
"files": {
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| 25 |
"__init__.py": "oes6jQj02wGGtnJVomIE7ZJr2qnJmOm6CWurue5Vf6w=",
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"_custom_ops.py": "tnC6OR7TPhMV+tt8MyUyIH2gDIdxBzHT+1z1NUhA9EE=",
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-
"_ops.py": "
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-
"
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"paged_attention/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
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"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
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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",
|
| 36 |
-
"
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| 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": {
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| 27 |
"__init__.py": "oes6jQj02wGGtnJVomIE7ZJr2qnJmOm6CWurue5Vf6w=",
|
| 28 |
"_custom_ops.py": "tnC6OR7TPhMV+tt8MyUyIH2gDIdxBzHT+1z1NUhA9EE=",
|
| 29 |
+
"_ops.py": "ljgy4ogthuAfMI0FHeqd6vBDQG9gDf8si+utP/EiYCI=",
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"_paged_attention_cuda_addf474.abi3.so": "zemlFUm9tWmBBGpkg8GYE38wD7uzY9OmKhcRgi9iB78=",
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|
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| 31 |
"platforms.py": "NeAhENqA8yXHgy3EfkYP1Bkx1n6aStkExV9py7Jvdiw="
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| 32 |
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"provenance": {
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| 35 |
"kernel-builder": {
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| 36 |
"version": "0.17.0-dev0",
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| 37 |
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"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
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| 38 |
"dirty": false
|
| 39 |
},
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| 40 |
"kernel": {
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"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
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| 42 |
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|
build/torch213-cxx11-cu132-aarch64-linux/paged_attention/__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 |
-
|
| 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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build/torch214-cxx11-cu126-aarch64-linux/__init__.py
ADDED
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@@ -0,0 +1,21 @@
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from ._custom_ops import (
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convert_fp8,
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copy_blocks,
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| 4 |
+
paged_attention_v1,
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paged_attention_v2,
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reshape_and_cache,
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reshape_and_cache_flash,
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swap_blocks,
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)
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from ._ops import ops
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__all__ = [
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"convert_fp8",
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"copy_blocks",
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| 15 |
+
"ops",
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| 16 |
+
"paged_attention_v1",
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| 17 |
+
"paged_attention_v2",
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| 18 |
+
"reshape_and_cache",
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| 19 |
+
"reshape_and_cache_flash",
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"swap_blocks",
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| 21 |
+
]
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build/torch214-cxx11-cu126-aarch64-linux/_custom_ops.py
ADDED
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@@ -0,0 +1,173 @@
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| 1 |
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from typing import List, Optional
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+
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import torch
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from ._ops import ops
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+
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# page attention ops
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def paged_attention_v1(
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| 10 |
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out: torch.Tensor,
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| 11 |
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query: torch.Tensor,
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| 12 |
+
key_cache: torch.Tensor,
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| 13 |
+
value_cache: torch.Tensor,
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| 14 |
+
num_kv_heads: int,
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+
scale: float,
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+
block_tables: torch.Tensor,
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| 17 |
+
seq_lens: torch.Tensor,
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| 18 |
+
block_size: int,
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+
max_seq_len: int,
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| 20 |
+
alibi_slopes: Optional[torch.Tensor],
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| 21 |
+
kv_cache_dtype: str,
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| 22 |
+
k_scale: float,
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+
v_scale: float,
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+
tp_rank: int = 0,
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+
blocksparse_local_blocks: int = 0,
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| 26 |
+
blocksparse_vert_stride: int = 0,
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+
blocksparse_block_size: int = 64,
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| 28 |
+
blocksparse_head_sliding_step: int = 0,
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+
) -> None:
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+
ops.paged_attention_v1(
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+
out,
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| 32 |
+
query,
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| 33 |
+
key_cache,
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| 34 |
+
value_cache,
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| 35 |
+
num_kv_heads,
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| 36 |
+
scale,
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| 37 |
+
block_tables,
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| 38 |
+
seq_lens,
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| 39 |
+
block_size,
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| 40 |
+
max_seq_len,
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| 41 |
+
alibi_slopes,
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| 42 |
+
kv_cache_dtype,
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| 43 |
+
k_scale,
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| 44 |
+
v_scale,
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| 45 |
+
tp_rank,
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| 46 |
+
blocksparse_local_blocks,
|
| 47 |
+
blocksparse_vert_stride,
|
| 48 |
+
blocksparse_block_size,
|
| 49 |
+
blocksparse_head_sliding_step,
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| 50 |
+
)
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
def paged_attention_v2(
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| 54 |
+
out: torch.Tensor,
|
| 55 |
+
exp_sum: torch.Tensor,
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| 56 |
+
max_logits: torch.Tensor,
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| 57 |
+
tmp_out: torch.Tensor,
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| 58 |
+
query: torch.Tensor,
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| 59 |
+
key_cache: torch.Tensor,
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| 60 |
+
value_cache: torch.Tensor,
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| 61 |
+
num_kv_heads: int,
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| 62 |
+
scale: float,
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| 63 |
+
block_tables: torch.Tensor,
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| 64 |
+
seq_lens: torch.Tensor,
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| 65 |
+
block_size: int,
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| 66 |
+
max_seq_len: int,
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| 67 |
+
alibi_slopes: Optional[torch.Tensor],
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| 68 |
+
kv_cache_dtype: str,
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| 69 |
+
k_scale: float,
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| 70 |
+
v_scale: float,
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| 71 |
+
tp_rank: int = 0,
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| 72 |
+
blocksparse_local_blocks: int = 0,
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| 73 |
+
blocksparse_vert_stride: int = 0,
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| 74 |
+
blocksparse_block_size: int = 64,
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| 75 |
+
blocksparse_head_sliding_step: int = 0,
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| 76 |
+
) -> None:
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| 77 |
+
ops.paged_attention_v2(
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| 78 |
+
out,
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| 79 |
+
exp_sum,
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| 80 |
+
max_logits,
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| 81 |
+
tmp_out,
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| 82 |
+
query,
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| 83 |
+
key_cache,
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| 84 |
+
value_cache,
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| 85 |
+
num_kv_heads,
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| 86 |
+
scale,
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| 87 |
+
block_tables,
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| 88 |
+
seq_lens,
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| 89 |
+
block_size,
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| 90 |
+
max_seq_len,
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| 91 |
+
alibi_slopes,
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| 92 |
+
kv_cache_dtype,
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| 93 |
+
k_scale,
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| 94 |
+
v_scale,
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| 95 |
+
tp_rank,
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| 96 |
+
blocksparse_local_blocks,
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| 97 |
+
blocksparse_vert_stride,
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| 98 |
+
blocksparse_block_size,
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| 99 |
+
blocksparse_head_sliding_step,
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| 100 |
+
)
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| 101 |
+
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| 102 |
+
|
| 103 |
+
def reshape_and_cache(
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| 104 |
+
key: torch.Tensor,
|
| 105 |
+
value: torch.Tensor,
|
| 106 |
+
key_cache: torch.Tensor,
|
| 107 |
+
value_cache: torch.Tensor,
|
| 108 |
+
slot_mapping: torch.Tensor,
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| 109 |
+
kv_cache_dtype: str,
|
| 110 |
+
k_scale: float,
|
| 111 |
+
v_scale: float,
|
| 112 |
+
) -> None:
|
| 113 |
+
ops.reshape_and_cache(
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| 114 |
+
key,
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| 115 |
+
value,
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| 116 |
+
key_cache,
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| 117 |
+
value_cache,
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| 118 |
+
slot_mapping,
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| 119 |
+
kv_cache_dtype,
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| 120 |
+
k_scale,
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| 121 |
+
v_scale,
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| 122 |
+
)
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| 123 |
+
|
| 124 |
+
|
| 125 |
+
def reshape_and_cache_flash(
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| 126 |
+
key: torch.Tensor,
|
| 127 |
+
value: torch.Tensor,
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| 128 |
+
key_cache: torch.Tensor,
|
| 129 |
+
value_cache: torch.Tensor,
|
| 130 |
+
slot_mapping: torch.Tensor,
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| 131 |
+
kv_cache_dtype: str,
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| 132 |
+
k_scale: torch.Tensor,
|
| 133 |
+
v_scale: torch.Tensor,
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| 134 |
+
) -> None:
|
| 135 |
+
ops.reshape_and_cache_flash(
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| 136 |
+
key,
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| 137 |
+
value,
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| 138 |
+
key_cache,
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| 139 |
+
value_cache,
|
| 140 |
+
slot_mapping,
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| 141 |
+
kv_cache_dtype,
|
| 142 |
+
k_scale,
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| 143 |
+
v_scale,
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| 144 |
+
)
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| 145 |
+
|
| 146 |
+
|
| 147 |
+
def copy_blocks(
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| 148 |
+
key_caches: List[torch.Tensor],
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| 149 |
+
value_caches: List[torch.Tensor],
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| 150 |
+
block_mapping: torch.Tensor,
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| 151 |
+
) -> None:
|
| 152 |
+
ops.copy_blocks(key_caches, value_caches, block_mapping)
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| 153 |
+
|
| 154 |
+
|
| 155 |
+
def swap_blocks(
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| 156 |
+
src: torch.Tensor, dst: torch.Tensor, block_mapping: torch.Tensor
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| 157 |
+
) -> None:
|
| 158 |
+
ops.swap_blocks(src, dst, block_mapping)
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| 159 |
+
|
| 160 |
+
|
| 161 |
+
def convert_fp8(
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| 162 |
+
output: torch.Tensor, input: torch.Tensor, scale: float = 1.0, kv_dtype: str = "fp8"
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| 163 |
+
) -> None:
|
| 164 |
+
ops.convert_fp8(output, input, scale, kv_dtype)
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| 165 |
+
|
| 166 |
+
|
| 167 |
+
__all__ = [
|
| 168 |
+
"convert_fp8",
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| 169 |
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"paged_attention_v1",
|
| 170 |
+
"paged_attention_v2",
|
| 171 |
+
"reshape_and_cache",
|
| 172 |
+
"copy_blocks",
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| 173 |
+
]
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build/torch214-cxx11-cu126-aarch64-linux/_ops.py
ADDED
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@@ -0,0 +1,9 @@
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|
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import torch
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from . import _paged_attention_cuda_addf474
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| 3 |
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ops = torch.ops._paged_attention_cuda_addf474
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| 4 |
+
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| 5 |
+
def add_op_namespace_prefix(op_name: str):
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| 6 |
+
"""
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| 7 |
+
Prefix op by namespace.
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| 8 |
+
"""
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| 9 |
+
return f"_paged_attention_cuda_addf474::{op_name}"
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build/torch214-cxx11-cu126-aarch64-linux/_paged_attention_cuda_addf474.abi3.so
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:d91acf9553b211fefd6e206980448d6f41c97be7ae84e1ad34da2475a8f4dc78
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| 3 |
+
size 138068880
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build/torch214-cxx11-cu126-aarch64-linux/metadata.json
ADDED
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@@ -0,0 +1,42 @@
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|
| 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": "2RrPlVOyEf79biBpgESNb0HJe+euhOGtNNokdaj03Hg=",
|
| 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 |
+
}
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build/torch214-cxx11-cu126-aarch64-linux/metadata.json.sigstore
ADDED
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@@ -0,0 +1 @@
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|
| 1 |
+
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|
build/torch214-cxx11-cu126-aarch64-linux/platforms.py
ADDED
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| 1 |
+
import os
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| 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-aarch64-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-aarch64-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-aarch64-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-aarch64-linux/_paged_attention_cuda_addf474.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c7f09d7e729437ad1a64db72010da2d67775b729295259f0d66512f341d35b2f
|
| 3 |
+
size 97297264
|
build/torch214-cxx11-cu130-aarch64-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": "x/CdfnKUN60aZNtyAQ2i1nd1tykpUlnw1mUS80HTWy8=",
|
| 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-aarch64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
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- 1193050959916656506\n2492797582\nFILFLtkE3E9+5VkmuNqzGfsx9yLjozqqmlcU0I0IGcg=\n\n— rekor.sigstore.dev wNI9ajBEAiB25zSouGZVkl7iCBnYfaT7qvUnytbyu0MWVy+/zmChhQIgKCD8L4Q/wsMvvPbiqxuN9aZ1OrZRynejg6UGIxzi+lg=\n"}},"canonicalizedBody":"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"}],"timestampVerificationData":{"rfc3161Timestamps":[{"signedTimestamp":"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"}]}},"messageSignature":{"messageDigest":{"algorithm":"SHA2_256","digest":"YqA3XLCKRnwszDu5Dbyr5DowhTwG51sv2LJ4ez3axl4="},"signature":"MEQCIATw/N0BOkNKSgesjgLijytvTWkVJxjgN0Q04G8jjL6iAiAFzHGkArQ2vCNjoCcoAPE8f5pytdR+0jyThPJkDAM4LQ=="}}
|
build/torch214-cxx11-cu130-aarch64-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-aarch64-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-cu132-aarch64-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-aarch64-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-aarch64-linux/_paged_attention_cuda_addf474.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1df7db66b05eaa003bad25b7e41df28871072d2cefeca06ea2d4a6feb551873b
|
| 3 |
+
size 96120456
|
build/torch214-cxx11-cu132-aarch64-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": "HffbZrBeqgA7rSW35B3yiHEHLSzv7KBuotSm/rVRhzs=",
|
| 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-aarch64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
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