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Browse files- .gitattributes +9 -0
- build/torch212-cxx11-cu126-aarch64-linux/{_layer_norm_cuda_8a730d9.abi3.so → _layer_norm_cuda_addf474.abi3.so} +1 -1
- build/torch212-cxx11-cu126-aarch64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu126-aarch64-linux/layer_norm/__init__.py +0 -26
- build/torch212-cxx11-cu126-aarch64-linux/metadata.json +6 -6
- build/torch212-cxx11-cu126-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch212-cxx11-cu130-aarch64-linux/{_layer_norm_cuda_8a730d9.abi3.so → _layer_norm_cuda_addf474.abi3.so} +1 -1
- build/torch212-cxx11-cu130-aarch64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu130-aarch64-linux/layer_norm/__init__.py +0 -26
- build/torch212-cxx11-cu130-aarch64-linux/metadata.json +6 -6
- build/torch212-cxx11-cu130-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch212-cxx11-cu132-aarch64-linux/{_layer_norm_cuda_8a730d9.abi3.so → _layer_norm_cuda_addf474.abi3.so} +1 -1
- build/torch212-cxx11-cu132-aarch64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu132-aarch64-linux/layer_norm/__init__.py +0 -26
- build/torch212-cxx11-cu132-aarch64-linux/metadata.json +6 -6
- build/torch212-cxx11-cu132-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch213-cxx11-cu126-aarch64-linux/{_layer_norm_cuda_8a730d9.abi3.so → _layer_norm_cuda_addf474.abi3.so} +1 -1
- build/torch213-cxx11-cu126-aarch64-linux/_ops.py +3 -3
- build/torch213-cxx11-cu126-aarch64-linux/layer_norm/__init__.py +0 -26
- build/torch213-cxx11-cu126-aarch64-linux/metadata.json +6 -6
- build/torch213-cxx11-cu126-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch213-cxx11-cu130-aarch64-linux/{_layer_norm_cuda_8a730d9.abi3.so → _layer_norm_cuda_addf474.abi3.so} +1 -1
- build/torch213-cxx11-cu130-aarch64-linux/_ops.py +3 -3
- build/torch213-cxx11-cu130-aarch64-linux/layer_norm/__init__.py +0 -26
- build/torch213-cxx11-cu130-aarch64-linux/metadata.json +6 -6
- build/torch213-cxx11-cu130-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch213-cxx11-cu132-aarch64-linux/{_layer_norm_cuda_8a730d9.abi3.so → _layer_norm_cuda_addf474.abi3.so} +1 -1
- build/torch213-cxx11-cu132-aarch64-linux/_ops.py +3 -3
- build/torch213-cxx11-cu132-aarch64-linux/layer_norm/__init__.py +0 -26
- build/torch213-cxx11-cu132-aarch64-linux/metadata.json +6 -6
- build/torch213-cxx11-cu132-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch214-cxx11-cu126-aarch64-linux/__init__.py +26 -0
- build/torch214-cxx11-cu126-aarch64-linux/_layer_norm_cuda_addf474.abi3.so +3 -0
- build/torch214-cxx11-cu126-aarch64-linux/_ops.py +9 -0
- build/torch214-cxx11-cu126-aarch64-linux/layers.py +51 -0
- build/torch214-cxx11-cu126-aarch64-linux/metadata.json +36 -0
- build/torch214-cxx11-cu126-aarch64-linux/metadata.json.sigstore +1 -0
- build/torch214-cxx11-cu130-aarch64-linux/__init__.py +26 -0
- build/torch214-cxx11-cu130-aarch64-linux/_layer_norm_cuda_addf474.abi3.so +3 -0
- build/torch214-cxx11-cu130-aarch64-linux/_ops.py +9 -0
- build/torch214-cxx11-cu130-aarch64-linux/layers.py +51 -0
- build/torch214-cxx11-cu130-aarch64-linux/metadata.json +38 -0
- build/torch214-cxx11-cu130-aarch64-linux/metadata.json.sigstore +1 -0
- build/torch214-cxx11-cu132-aarch64-linux/__init__.py +26 -0
- build/torch214-cxx11-cu132-aarch64-linux/_layer_norm_cuda_addf474.abi3.so +3 -0
- build/torch214-cxx11-cu132-aarch64-linux/_ops.py +9 -0
- build/torch214-cxx11-cu132-aarch64-linux/layers.py +51 -0
- build/torch214-cxx11-cu132-aarch64-linux/metadata.json +38 -0
- build/torch214-cxx11-cu132-aarch64-linux/metadata.json.sigstore +1 -0
.gitattributes
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@@ -141,3 +141,12 @@ build/torch212-cxx11-cu132-x86_64-linux/_layer_norm_cuda_8a730d9.abi3.so filter=
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build/torch213-cxx11-cu126-x86_64-linux/_layer_norm_cuda_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu130-x86_64-linux/_layer_norm_cuda_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu132-x86_64-linux/_layer_norm_cuda_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu126-x86_64-linux/_layer_norm_cuda_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu130-x86_64-linux/_layer_norm_cuda_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu132-x86_64-linux/_layer_norm_cuda_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch212-cxx11-cu126-aarch64-linux/_layer_norm_cuda_addf474.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch212-cxx11-cu130-aarch64-linux/_layer_norm_cuda_addf474.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch212-cxx11-cu132-aarch64-linux/_layer_norm_cuda_addf474.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu126-aarch64-linux/_layer_norm_cuda_addf474.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu130-aarch64-linux/_layer_norm_cuda_addf474.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu132-aarch64-linux/_layer_norm_cuda_addf474.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch214-cxx11-cu126-aarch64-linux/_layer_norm_cuda_addf474.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch214-cxx11-cu130-aarch64-linux/_layer_norm_cuda_addf474.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch214-cxx11-cu132-aarch64-linux/_layer_norm_cuda_addf474.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch212-cxx11-cu126-aarch64-linux/{_layer_norm_cuda_8a730d9.abi3.so → _layer_norm_cuda_addf474.abi3.so}
RENAMED
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size 709677048
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version https://git-lfs.github.com/spec/v1
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build/torch212-cxx11-cu126-aarch64-linux/_ops.py
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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 _layer_norm_cuda_addf474
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ops = torch.ops._layer_norm_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"_layer_norm_cuda_addf474::{op_name}"
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build/torch212-cxx11-cu126-aarch64-linux/layer_norm/__init__.py
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import ctypes
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# it would also be used for other imports. So, we make a module name that
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# depends on the path for it to be unique using the hex-encoded hash of
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# the path.
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path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
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module_name = path_hash
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spec = importlib.util.spec_from_file_location(module_name, file_path)
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if spec is None:
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raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
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module = importlib.util.module_from_spec(spec)
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if module is None:
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raise ImportError(f"Cannot load module {module_name} from spec")
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sys.modules[module_name] = module
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spec.loader.exec_module(module) # type: ignore
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return module
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globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
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build/torch212-cxx11-cu126-aarch64-linux/metadata.json
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|
build/torch212-cxx11-cu130-aarch64-linux/{_layer_norm_cuda_8a730d9.abi3.so → _layer_norm_cuda_addf474.abi3.so}
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1233960384
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f6bea0207302b1d5fc98abbc67a9a9390f495a21d6475ccfa61bf0972a79f068
|
| 3 |
size 1233960384
|
build/torch212-cxx11-cu130-aarch64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
import torch
|
| 2 |
-
from . import
|
| 3 |
-
ops = torch.ops.
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _layer_norm_cuda_addf474
|
| 3 |
+
ops = torch.ops._layer_norm_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_layer_norm_cuda_addf474::{op_name}"
|
build/torch212-cxx11-cu130-aarch64-linux/layer_norm/__init__.py
DELETED
|
@@ -1,26 +0,0 @@
|
|
| 1 |
-
import ctypes
|
| 2 |
-
import importlib.util
|
| 3 |
-
import sys
|
| 4 |
-
from pathlib import Path
|
| 5 |
-
from types import ModuleType
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
def _import_from_path(file_path: Path) -> ModuleType:
|
| 9 |
-
# We cannot use the module name as-is, after adding it to `sys.modules`,
|
| 10 |
-
# it would also be used for other imports. So, we make a module name that
|
| 11 |
-
# depends on the path for it to be unique using the hex-encoded hash of
|
| 12 |
-
# the path.
|
| 13 |
-
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 14 |
-
module_name = path_hash
|
| 15 |
-
spec = importlib.util.spec_from_file_location(module_name, file_path)
|
| 16 |
-
if spec is None:
|
| 17 |
-
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
|
| 18 |
-
module = importlib.util.module_from_spec(spec)
|
| 19 |
-
if module is None:
|
| 20 |
-
raise ImportError(f"Cannot load module {module_name} from spec")
|
| 21 |
-
sys.modules[module_name] = module
|
| 22 |
-
spec.loader.exec_module(module) # type: ignore
|
| 23 |
-
return module
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
|
|
|
|
|
|
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build/torch212-cxx11-cu130-aarch64-linux/metadata.json
CHANGED
|
@@ -1,9 +1,10 @@
|
|
| 1 |
{
|
| 2 |
"name": "layer-norm",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
|
|
|
| 7 |
"backend": {
|
| 8 |
"type": "cuda",
|
| 9 |
"archs": [
|
|
@@ -18,20 +19,19 @@
|
|
| 18 |
"algorithm": "sha256",
|
| 19 |
"files": {
|
| 20 |
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 21 |
-
"
|
| 22 |
-
"_ops.py": "
|
| 23 |
-
"layer_norm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 24 |
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 25 |
}
|
| 26 |
},
|
| 27 |
"provenance": {
|
| 28 |
"kernel-builder": {
|
| 29 |
"version": "0.17.0-dev0",
|
| 30 |
-
"
|
| 31 |
"dirty": false
|
| 32 |
},
|
| 33 |
"kernel": {
|
| 34 |
-
"
|
| 35 |
"dirty": false
|
| 36 |
}
|
| 37 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "layer-norm",
|
| 3 |
+
"id": "_layer_norm_cuda_addf474",
|
| 4 |
"version": 1,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
"backend": {
|
| 9 |
"type": "cuda",
|
| 10 |
"archs": [
|
|
|
|
| 19 |
"algorithm": "sha256",
|
| 20 |
"files": {
|
| 21 |
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 22 |
+
"_layer_norm_cuda_addf474.abi3.so": "9r6gIHMCsdX8mKu8Z6mpOQ9JWiHWR1zPphvwlyp58Gg=",
|
| 23 |
+
"_ops.py": "oCOWtDsjVQEEwCJwI2XU28jy5ovUJE1bd221JrwOr9U=",
|
|
|
|
| 24 |
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 25 |
}
|
| 26 |
},
|
| 27 |
"provenance": {
|
| 28 |
"kernel-builder": {
|
| 29 |
"version": "0.17.0-dev0",
|
| 30 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 31 |
"dirty": false
|
| 32 |
},
|
| 33 |
"kernel": {
|
| 34 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 35 |
"dirty": false
|
| 36 |
}
|
| 37 |
}
|
build/torch212-cxx11-cu130-aarch64-linux/metadata.json.sigstore
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
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|
build/torch212-cxx11-cu132-aarch64-linux/{_layer_norm_cuda_8a730d9.abi3.so → _layer_norm_cuda_addf474.abi3.so}
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1217583976
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1323074ac34d2066fdee1a6cfc87b997a67400c6241ccc7bda9cde8707a85e0f
|
| 3 |
size 1217583976
|
build/torch212-cxx11-cu132-aarch64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
import torch
|
| 2 |
-
from . import
|
| 3 |
-
ops = torch.ops.
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _layer_norm_cuda_addf474
|
| 3 |
+
ops = torch.ops._layer_norm_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_layer_norm_cuda_addf474::{op_name}"
|
build/torch212-cxx11-cu132-aarch64-linux/layer_norm/__init__.py
DELETED
|
@@ -1,26 +0,0 @@
|
|
| 1 |
-
import ctypes
|
| 2 |
-
import importlib.util
|
| 3 |
-
import sys
|
| 4 |
-
from pathlib import Path
|
| 5 |
-
from types import ModuleType
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
def _import_from_path(file_path: Path) -> ModuleType:
|
| 9 |
-
# We cannot use the module name as-is, after adding it to `sys.modules`,
|
| 10 |
-
# it would also be used for other imports. So, we make a module name that
|
| 11 |
-
# depends on the path for it to be unique using the hex-encoded hash of
|
| 12 |
-
# the path.
|
| 13 |
-
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 14 |
-
module_name = path_hash
|
| 15 |
-
spec = importlib.util.spec_from_file_location(module_name, file_path)
|
| 16 |
-
if spec is None:
|
| 17 |
-
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
|
| 18 |
-
module = importlib.util.module_from_spec(spec)
|
| 19 |
-
if module is None:
|
| 20 |
-
raise ImportError(f"Cannot load module {module_name} from spec")
|
| 21 |
-
sys.modules[module_name] = module
|
| 22 |
-
spec.loader.exec_module(module) # type: ignore
|
| 23 |
-
return module
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
|
|
|
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build/torch212-cxx11-cu132-aarch64-linux/metadata.json
CHANGED
|
@@ -1,9 +1,10 @@
|
|
| 1 |
{
|
| 2 |
"name": "layer-norm",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
|
|
|
| 7 |
"backend": {
|
| 8 |
"type": "cuda",
|
| 9 |
"archs": [
|
|
@@ -18,20 +19,19 @@
|
|
| 18 |
"algorithm": "sha256",
|
| 19 |
"files": {
|
| 20 |
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 21 |
-
"
|
| 22 |
-
"_ops.py": "
|
| 23 |
-
"layer_norm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 24 |
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 25 |
}
|
| 26 |
},
|
| 27 |
"provenance": {
|
| 28 |
"kernel-builder": {
|
| 29 |
"version": "0.17.0-dev0",
|
| 30 |
-
"
|
| 31 |
"dirty": false
|
| 32 |
},
|
| 33 |
"kernel": {
|
| 34 |
-
"
|
| 35 |
"dirty": false
|
| 36 |
}
|
| 37 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "layer-norm",
|
| 3 |
+
"id": "_layer_norm_cuda_addf474",
|
| 4 |
"version": 1,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
"backend": {
|
| 9 |
"type": "cuda",
|
| 10 |
"archs": [
|
|
|
|
| 19 |
"algorithm": "sha256",
|
| 20 |
"files": {
|
| 21 |
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 22 |
+
"_layer_norm_cuda_addf474.abi3.so": "EyMHSsNNIGb97hps/Ie5l6Z0AMYkHMx72pzehweoXg8=",
|
| 23 |
+
"_ops.py": "oCOWtDsjVQEEwCJwI2XU28jy5ovUJE1bd221JrwOr9U=",
|
|
|
|
| 24 |
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 25 |
}
|
| 26 |
},
|
| 27 |
"provenance": {
|
| 28 |
"kernel-builder": {
|
| 29 |
"version": "0.17.0-dev0",
|
| 30 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 31 |
"dirty": false
|
| 32 |
},
|
| 33 |
"kernel": {
|
| 34 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 35 |
"dirty": false
|
| 36 |
}
|
| 37 |
}
|
build/torch212-cxx11-cu132-aarch64-linux/metadata.json.sigstore
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
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|
build/torch213-cxx11-cu126-aarch64-linux/{_layer_norm_cuda_8a730d9.abi3.so → _layer_norm_cuda_addf474.abi3.so}
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 709677256
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:85c2a67206a090d539bb14dcfdba141d2a7494548f0a1c7a3d642db3a6fec3e3
|
| 3 |
size 709677256
|
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 _layer_norm_cuda_addf474
|
| 3 |
+
ops = torch.ops._layer_norm_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_layer_norm_cuda_addf474::{op_name}"
|
build/torch213-cxx11-cu126-aarch64-linux/layer_norm/__init__.py
DELETED
|
@@ -1,26 +0,0 @@
|
|
| 1 |
-
import ctypes
|
| 2 |
-
import importlib.util
|
| 3 |
-
import sys
|
| 4 |
-
from pathlib import Path
|
| 5 |
-
from types import ModuleType
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
def _import_from_path(file_path: Path) -> ModuleType:
|
| 9 |
-
# We cannot use the module name as-is, after adding it to `sys.modules`,
|
| 10 |
-
# it would also be used for other imports. So, we make a module name that
|
| 11 |
-
# depends on the path for it to be unique using the hex-encoded hash of
|
| 12 |
-
# the path.
|
| 13 |
-
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 14 |
-
module_name = path_hash
|
| 15 |
-
spec = importlib.util.spec_from_file_location(module_name, file_path)
|
| 16 |
-
if spec is None:
|
| 17 |
-
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
|
| 18 |
-
module = importlib.util.module_from_spec(spec)
|
| 19 |
-
if module is None:
|
| 20 |
-
raise ImportError(f"Cannot load module {module_name} from spec")
|
| 21 |
-
sys.modules[module_name] = module
|
| 22 |
-
spec.loader.exec_module(module) # type: ignore
|
| 23 |
-
return module
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
|
|
|
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build/torch213-cxx11-cu126-aarch64-linux/metadata.json
CHANGED
|
@@ -1,9 +1,10 @@
|
|
| 1 |
{
|
| 2 |
"name": "layer-norm",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
|
|
|
| 7 |
"backend": {
|
| 8 |
"type": "cuda",
|
| 9 |
"archs": [
|
|
@@ -16,20 +17,19 @@
|
|
| 16 |
"algorithm": "sha256",
|
| 17 |
"files": {
|
| 18 |
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 19 |
-
"
|
| 20 |
-
"_ops.py": "
|
| 21 |
-
"layer_norm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 22 |
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 23 |
}
|
| 24 |
},
|
| 25 |
"provenance": {
|
| 26 |
"kernel-builder": {
|
| 27 |
"version": "0.17.0-dev0",
|
| 28 |
-
"
|
| 29 |
"dirty": false
|
| 30 |
},
|
| 31 |
"kernel": {
|
| 32 |
-
"
|
| 33 |
"dirty": false
|
| 34 |
}
|
| 35 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "layer-norm",
|
| 3 |
+
"id": "_layer_norm_cuda_addf474",
|
| 4 |
"version": 1,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
"backend": {
|
| 9 |
"type": "cuda",
|
| 10 |
"archs": [
|
|
|
|
| 17 |
"algorithm": "sha256",
|
| 18 |
"files": {
|
| 19 |
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 20 |
+
"_layer_norm_cuda_addf474.abi3.so": "hcKmcgagkNU5uxTc/boUHSp0lFSPChx6PWQts6b+w+M=",
|
| 21 |
+
"_ops.py": "oCOWtDsjVQEEwCJwI2XU28jy5ovUJE1bd221JrwOr9U=",
|
|
|
|
| 22 |
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 23 |
}
|
| 24 |
},
|
| 25 |
"provenance": {
|
| 26 |
"kernel-builder": {
|
| 27 |
"version": "0.17.0-dev0",
|
| 28 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 29 |
"dirty": false
|
| 30 |
},
|
| 31 |
"kernel": {
|
| 32 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 33 |
"dirty": false
|
| 34 |
}
|
| 35 |
}
|
build/torch213-cxx11-cu126-aarch64-linux/metadata.json.sigstore
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
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|
build/torch213-cxx11-cu130-aarch64-linux/{_layer_norm_cuda_8a730d9.abi3.so → _layer_norm_cuda_addf474.abi3.so}
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1233960600
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87dffcbdf0bc4707a379cc0e35084e2938a35d695019e02a6d1bf27a5d5a9d06
|
| 3 |
size 1233960600
|
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 _layer_norm_cuda_addf474
|
| 3 |
+
ops = torch.ops._layer_norm_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_layer_norm_cuda_addf474::{op_name}"
|
build/torch213-cxx11-cu130-aarch64-linux/layer_norm/__init__.py
DELETED
|
@@ -1,26 +0,0 @@
|
|
| 1 |
-
import ctypes
|
| 2 |
-
import importlib.util
|
| 3 |
-
import sys
|
| 4 |
-
from pathlib import Path
|
| 5 |
-
from types import ModuleType
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
def _import_from_path(file_path: Path) -> ModuleType:
|
| 9 |
-
# We cannot use the module name as-is, after adding it to `sys.modules`,
|
| 10 |
-
# it would also be used for other imports. So, we make a module name that
|
| 11 |
-
# depends on the path for it to be unique using the hex-encoded hash of
|
| 12 |
-
# the path.
|
| 13 |
-
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 14 |
-
module_name = path_hash
|
| 15 |
-
spec = importlib.util.spec_from_file_location(module_name, file_path)
|
| 16 |
-
if spec is None:
|
| 17 |
-
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
|
| 18 |
-
module = importlib.util.module_from_spec(spec)
|
| 19 |
-
if module is None:
|
| 20 |
-
raise ImportError(f"Cannot load module {module_name} from spec")
|
| 21 |
-
sys.modules[module_name] = module
|
| 22 |
-
spec.loader.exec_module(module) # type: ignore
|
| 23 |
-
return module
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
build/torch213-cxx11-cu130-aarch64-linux/metadata.json
CHANGED
|
@@ -1,9 +1,10 @@
|
|
| 1 |
{
|
| 2 |
"name": "layer-norm",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
|
|
|
| 7 |
"backend": {
|
| 8 |
"type": "cuda",
|
| 9 |
"archs": [
|
|
@@ -18,20 +19,19 @@
|
|
| 18 |
"algorithm": "sha256",
|
| 19 |
"files": {
|
| 20 |
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 21 |
-
"
|
| 22 |
-
"_ops.py": "
|
| 23 |
-
"layer_norm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 24 |
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 25 |
}
|
| 26 |
},
|
| 27 |
"provenance": {
|
| 28 |
"kernel-builder": {
|
| 29 |
"version": "0.17.0-dev0",
|
| 30 |
-
"
|
| 31 |
"dirty": false
|
| 32 |
},
|
| 33 |
"kernel": {
|
| 34 |
-
"
|
| 35 |
"dirty": false
|
| 36 |
}
|
| 37 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "layer-norm",
|
| 3 |
+
"id": "_layer_norm_cuda_addf474",
|
| 4 |
"version": 1,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
"backend": {
|
| 9 |
"type": "cuda",
|
| 10 |
"archs": [
|
|
|
|
| 19 |
"algorithm": "sha256",
|
| 20 |
"files": {
|
| 21 |
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 22 |
+
"_layer_norm_cuda_addf474.abi3.so": "h9/8vfC8RwejecwONQhOKTijXWlQGeAqbRvyel1anQY=",
|
| 23 |
+
"_ops.py": "oCOWtDsjVQEEwCJwI2XU28jy5ovUJE1bd221JrwOr9U=",
|
|
|
|
| 24 |
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 25 |
}
|
| 26 |
},
|
| 27 |
"provenance": {
|
| 28 |
"kernel-builder": {
|
| 29 |
"version": "0.17.0-dev0",
|
| 30 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 31 |
"dirty": false
|
| 32 |
},
|
| 33 |
"kernel": {
|
| 34 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 35 |
"dirty": false
|
| 36 |
}
|
| 37 |
}
|
build/torch213-cxx11-cu130-aarch64-linux/metadata.json.sigstore
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
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|
build/torch213-cxx11-cu132-aarch64-linux/{_layer_norm_cuda_8a730d9.abi3.so → _layer_norm_cuda_addf474.abi3.so}
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1217584192
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:653b36c1733a05a2fd15f56f142ab5301e9595f36c4ccf2d01dd195088c4be5a
|
| 3 |
size 1217584192
|
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 _layer_norm_cuda_addf474
|
| 3 |
+
ops = torch.ops._layer_norm_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_layer_norm_cuda_addf474::{op_name}"
|
build/torch213-cxx11-cu132-aarch64-linux/layer_norm/__init__.py
DELETED
|
@@ -1,26 +0,0 @@
|
|
| 1 |
-
import ctypes
|
| 2 |
-
import importlib.util
|
| 3 |
-
import sys
|
| 4 |
-
from pathlib import Path
|
| 5 |
-
from types import ModuleType
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
def _import_from_path(file_path: Path) -> ModuleType:
|
| 9 |
-
# We cannot use the module name as-is, after adding it to `sys.modules`,
|
| 10 |
-
# it would also be used for other imports. So, we make a module name that
|
| 11 |
-
# depends on the path for it to be unique using the hex-encoded hash of
|
| 12 |
-
# the path.
|
| 13 |
-
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 14 |
-
module_name = path_hash
|
| 15 |
-
spec = importlib.util.spec_from_file_location(module_name, file_path)
|
| 16 |
-
if spec is None:
|
| 17 |
-
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
|
| 18 |
-
module = importlib.util.module_from_spec(spec)
|
| 19 |
-
if module is None:
|
| 20 |
-
raise ImportError(f"Cannot load module {module_name} from spec")
|
| 21 |
-
sys.modules[module_name] = module
|
| 22 |
-
spec.loader.exec_module(module) # type: ignore
|
| 23 |
-
return module
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
build/torch213-cxx11-cu132-aarch64-linux/metadata.json
CHANGED
|
@@ -1,9 +1,10 @@
|
|
| 1 |
{
|
| 2 |
"name": "layer-norm",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
|
|
|
| 7 |
"backend": {
|
| 8 |
"type": "cuda",
|
| 9 |
"archs": [
|
|
@@ -18,20 +19,19 @@
|
|
| 18 |
"algorithm": "sha256",
|
| 19 |
"files": {
|
| 20 |
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 21 |
-
"
|
| 22 |
-
"_ops.py": "
|
| 23 |
-
"layer_norm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 24 |
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 25 |
}
|
| 26 |
},
|
| 27 |
"provenance": {
|
| 28 |
"kernel-builder": {
|
| 29 |
"version": "0.17.0-dev0",
|
| 30 |
-
"
|
| 31 |
"dirty": false
|
| 32 |
},
|
| 33 |
"kernel": {
|
| 34 |
-
"
|
| 35 |
"dirty": false
|
| 36 |
}
|
| 37 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "layer-norm",
|
| 3 |
+
"id": "_layer_norm_cuda_addf474",
|
| 4 |
"version": 1,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
"backend": {
|
| 9 |
"type": "cuda",
|
| 10 |
"archs": [
|
|
|
|
| 19 |
"algorithm": "sha256",
|
| 20 |
"files": {
|
| 21 |
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 22 |
+
"_layer_norm_cuda_addf474.abi3.so": "ZTs2wXM6BaL9FfVvFCq1MB6VlfNsTM8tAd0ZUIjEvlo=",
|
| 23 |
+
"_ops.py": "oCOWtDsjVQEEwCJwI2XU28jy5ovUJE1bd221JrwOr9U=",
|
|
|
|
| 24 |
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 25 |
}
|
| 26 |
},
|
| 27 |
"provenance": {
|
| 28 |
"kernel-builder": {
|
| 29 |
"version": "0.17.0-dev0",
|
| 30 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 31 |
"dirty": false
|
| 32 |
},
|
| 33 |
"kernel": {
|
| 34 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 35 |
"dirty": false
|
| 36 |
}
|
| 37 |
}
|
build/torch213-cxx11-cu132-aarch64-linux/metadata.json.sigstore
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
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build/torch214-cxx11-cu126-aarch64-linux/__init__.py
ADDED
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+
import torch
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import torch.nn as nn
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from ._ops import ops
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from . import layers
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def dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm):
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| 9 |
+
return ops.dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm)
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| 10 |
+
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| 11 |
+
def dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm):
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| 12 |
+
return ops.dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm)
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| 13 |
+
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| 14 |
+
def dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm):
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| 15 |
+
return ops.dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm)
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| 16 |
+
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| 17 |
+
def dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm):
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| 18 |
+
return ops.dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm)
|
| 19 |
+
|
| 20 |
+
__all__ = [
|
| 21 |
+
"layers",
|
| 22 |
+
"dropout_add_ln_fwd",
|
| 23 |
+
"dropout_add_ln_bwd",
|
| 24 |
+
"dropout_add_ln_parallel_residual_fwd",
|
| 25 |
+
"dropout_add_ln_parallel_residual_bwd",
|
| 26 |
+
]
|
build/torch214-cxx11-cu126-aarch64-linux/_layer_norm_cuda_addf474.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:63b16a33f9203afe81821252184aed063bfa24ca4c365075e9ac240d3077f7a8
|
| 3 |
+
size 709677808
|
build/torch214-cxx11-cu126-aarch64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
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|
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|
|
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|
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|
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|
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|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _layer_norm_cuda_addf474
|
| 3 |
+
ops = torch.ops._layer_norm_cuda_addf474
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_layer_norm_cuda_addf474::{op_name}"
|
build/torch214-cxx11-cu126-aarch64-linux/layers.py
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
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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 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
|
| 4 |
+
from ._ops import ops
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
class LayerNorm(nn.Module):
|
| 8 |
+
weight: torch.Tensor
|
| 9 |
+
variance_epsilon: float
|
| 10 |
+
|
| 11 |
+
def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
|
| 12 |
+
output = ops.dropout_add_ln_fwd(
|
| 13 |
+
hidden_states.view(-1, hidden_states.shape[-1]),
|
| 14 |
+
gamma = self.weight,
|
| 15 |
+
beta = None,
|
| 16 |
+
rowscale = None,
|
| 17 |
+
colscale = None,
|
| 18 |
+
x0_subset = None,
|
| 19 |
+
z_subset = None,
|
| 20 |
+
dropout_p = 0,
|
| 21 |
+
epsilon = self.variance_epsilon,
|
| 22 |
+
rowscale_const = 1.0,
|
| 23 |
+
z_numrows = hidden_states.shape[1],
|
| 24 |
+
gen = None,
|
| 25 |
+
residual_in_fp32 = False,
|
| 26 |
+
is_rms_norm = False,
|
| 27 |
+
)
|
| 28 |
+
return output[0].view(hidden_states.shape)
|
| 29 |
+
|
| 30 |
+
class LlamaRMSNorm(nn.Module):
|
| 31 |
+
weight: torch.Tensor
|
| 32 |
+
variance_epsilon: float
|
| 33 |
+
|
| 34 |
+
def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
|
| 35 |
+
output = ops.dropout_add_ln_fwd(
|
| 36 |
+
hidden_states.view(-1, hidden_states.shape[-1]),
|
| 37 |
+
gamma = self.weight,
|
| 38 |
+
beta = None,
|
| 39 |
+
rowscale = None,
|
| 40 |
+
colscale = None,
|
| 41 |
+
x0_subset = None,
|
| 42 |
+
z_subset = None,
|
| 43 |
+
dropout_p = 0,
|
| 44 |
+
epsilon = self.variance_epsilon,
|
| 45 |
+
rowscale_const = 1.0,
|
| 46 |
+
z_numrows = hidden_states.shape[1],
|
| 47 |
+
gen = None,
|
| 48 |
+
residual_in_fp32 = False,
|
| 49 |
+
is_rms_norm = True,
|
| 50 |
+
)
|
| 51 |
+
return output[0].view(hidden_states.shape)
|
build/torch214-cxx11-cu126-aarch64-linux/metadata.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "layer-norm",
|
| 3 |
+
"id": "_layer_norm_cuda_addf474",
|
| 4 |
+
"version": 1,
|
| 5 |
+
"license": "BSD-3-Clause",
|
| 6 |
+
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
+
"backend": {
|
| 9 |
+
"type": "cuda",
|
| 10 |
+
"archs": [
|
| 11 |
+
"8.0",
|
| 12 |
+
"8.9",
|
| 13 |
+
"9.0"
|
| 14 |
+
]
|
| 15 |
+
},
|
| 16 |
+
"digest": {
|
| 17 |
+
"algorithm": "sha256",
|
| 18 |
+
"files": {
|
| 19 |
+
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 20 |
+
"_layer_norm_cuda_addf474.abi3.so": "Y7FqM/kgOv6BghJSGErtBjv6JMpMNlB16awkDTB396g=",
|
| 21 |
+
"_ops.py": "oCOWtDsjVQEEwCJwI2XU28jy5ovUJE1bd221JrwOr9U=",
|
| 22 |
+
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"provenance": {
|
| 26 |
+
"kernel-builder": {
|
| 27 |
+
"version": "0.17.0-dev0",
|
| 28 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 29 |
+
"dirty": false
|
| 30 |
+
},
|
| 31 |
+
"kernel": {
|
| 32 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 33 |
+
"dirty": false
|
| 34 |
+
}
|
| 35 |
+
}
|
| 36 |
+
}
|
build/torch214-cxx11-cu126-aarch64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
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build/torch214-cxx11-cu130-aarch64-linux/__init__.py
ADDED
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+
import torch
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import torch.nn as nn
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from ._ops import ops
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from . import layers
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def dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm):
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| 9 |
+
return ops.dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm)
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| 10 |
+
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| 11 |
+
def dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm):
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| 12 |
+
return ops.dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm)
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| 13 |
+
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| 14 |
+
def dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm):
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| 15 |
+
return ops.dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm)
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| 16 |
+
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| 17 |
+
def dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm):
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| 18 |
+
return ops.dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm)
|
| 19 |
+
|
| 20 |
+
__all__ = [
|
| 21 |
+
"layers",
|
| 22 |
+
"dropout_add_ln_fwd",
|
| 23 |
+
"dropout_add_ln_bwd",
|
| 24 |
+
"dropout_add_ln_parallel_residual_fwd",
|
| 25 |
+
"dropout_add_ln_parallel_residual_bwd",
|
| 26 |
+
]
|
build/torch214-cxx11-cu130-aarch64-linux/_layer_norm_cuda_addf474.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:842aa46221f3d37654cb177e7f3ff80e3f6d0663f6ab9b6e1177efbda081ce9f
|
| 3 |
+
size 1233961104
|
build/torch214-cxx11-cu130-aarch64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _layer_norm_cuda_addf474
|
| 3 |
+
ops = torch.ops._layer_norm_cuda_addf474
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_layer_norm_cuda_addf474::{op_name}"
|
build/torch214-cxx11-cu130-aarch64-linux/layers.py
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
|
| 4 |
+
from ._ops import ops
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
class LayerNorm(nn.Module):
|
| 8 |
+
weight: torch.Tensor
|
| 9 |
+
variance_epsilon: float
|
| 10 |
+
|
| 11 |
+
def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
|
| 12 |
+
output = ops.dropout_add_ln_fwd(
|
| 13 |
+
hidden_states.view(-1, hidden_states.shape[-1]),
|
| 14 |
+
gamma = self.weight,
|
| 15 |
+
beta = None,
|
| 16 |
+
rowscale = None,
|
| 17 |
+
colscale = None,
|
| 18 |
+
x0_subset = None,
|
| 19 |
+
z_subset = None,
|
| 20 |
+
dropout_p = 0,
|
| 21 |
+
epsilon = self.variance_epsilon,
|
| 22 |
+
rowscale_const = 1.0,
|
| 23 |
+
z_numrows = hidden_states.shape[1],
|
| 24 |
+
gen = None,
|
| 25 |
+
residual_in_fp32 = False,
|
| 26 |
+
is_rms_norm = False,
|
| 27 |
+
)
|
| 28 |
+
return output[0].view(hidden_states.shape)
|
| 29 |
+
|
| 30 |
+
class LlamaRMSNorm(nn.Module):
|
| 31 |
+
weight: torch.Tensor
|
| 32 |
+
variance_epsilon: float
|
| 33 |
+
|
| 34 |
+
def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
|
| 35 |
+
output = ops.dropout_add_ln_fwd(
|
| 36 |
+
hidden_states.view(-1, hidden_states.shape[-1]),
|
| 37 |
+
gamma = self.weight,
|
| 38 |
+
beta = None,
|
| 39 |
+
rowscale = None,
|
| 40 |
+
colscale = None,
|
| 41 |
+
x0_subset = None,
|
| 42 |
+
z_subset = None,
|
| 43 |
+
dropout_p = 0,
|
| 44 |
+
epsilon = self.variance_epsilon,
|
| 45 |
+
rowscale_const = 1.0,
|
| 46 |
+
z_numrows = hidden_states.shape[1],
|
| 47 |
+
gen = None,
|
| 48 |
+
residual_in_fp32 = False,
|
| 49 |
+
is_rms_norm = True,
|
| 50 |
+
)
|
| 51 |
+
return output[0].view(hidden_states.shape)
|
build/torch214-cxx11-cu130-aarch64-linux/metadata.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "layer-norm",
|
| 3 |
+
"id": "_layer_norm_cuda_addf474",
|
| 4 |
+
"version": 1,
|
| 5 |
+
"license": "BSD-3-Clause",
|
| 6 |
+
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
+
"backend": {
|
| 9 |
+
"type": "cuda",
|
| 10 |
+
"archs": [
|
| 11 |
+
"10.0",
|
| 12 |
+
"12.0",
|
| 13 |
+
"8.0",
|
| 14 |
+
"8.9",
|
| 15 |
+
"9.0"
|
| 16 |
+
]
|
| 17 |
+
},
|
| 18 |
+
"digest": {
|
| 19 |
+
"algorithm": "sha256",
|
| 20 |
+
"files": {
|
| 21 |
+
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 22 |
+
"_layer_norm_cuda_addf474.abi3.so": "hCqkYiHz03ZUyxd+fz/4Dj9tBmP2q5tuEXfvvaCBzp8=",
|
| 23 |
+
"_ops.py": "oCOWtDsjVQEEwCJwI2XU28jy5ovUJE1bd221JrwOr9U=",
|
| 24 |
+
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 25 |
+
}
|
| 26 |
+
},
|
| 27 |
+
"provenance": {
|
| 28 |
+
"kernel-builder": {
|
| 29 |
+
"version": "0.17.0-dev0",
|
| 30 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 31 |
+
"dirty": false
|
| 32 |
+
},
|
| 33 |
+
"kernel": {
|
| 34 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 35 |
+
"dirty": false
|
| 36 |
+
}
|
| 37 |
+
}
|
| 38 |
+
}
|
build/torch214-cxx11-cu130-aarch64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
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build/torch214-cxx11-cu132-aarch64-linux/__init__.py
ADDED
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+
import torch
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import torch.nn as nn
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from ._ops import ops
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+
from . import layers
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+
def dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm):
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| 9 |
+
return ops.dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm)
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| 10 |
+
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| 11 |
+
def dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm):
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| 12 |
+
return ops.dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm)
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| 13 |
+
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| 14 |
+
def dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm):
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| 15 |
+
return ops.dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm)
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| 16 |
+
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| 17 |
+
def dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm):
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| 18 |
+
return ops.dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm)
|
| 19 |
+
|
| 20 |
+
__all__ = [
|
| 21 |
+
"layers",
|
| 22 |
+
"dropout_add_ln_fwd",
|
| 23 |
+
"dropout_add_ln_bwd",
|
| 24 |
+
"dropout_add_ln_parallel_residual_fwd",
|
| 25 |
+
"dropout_add_ln_parallel_residual_bwd",
|
| 26 |
+
]
|
build/torch214-cxx11-cu132-aarch64-linux/_layer_norm_cuda_addf474.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6d7fc308f93a22b5466a4798021a7e4e1c35dcd94d068a6a61fba147aa9d417e
|
| 3 |
+
size 1217584696
|
build/torch214-cxx11-cu132-aarch64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _layer_norm_cuda_addf474
|
| 3 |
+
ops = torch.ops._layer_norm_cuda_addf474
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_layer_norm_cuda_addf474::{op_name}"
|
build/torch214-cxx11-cu132-aarch64-linux/layers.py
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
|
| 4 |
+
from ._ops import ops
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
class LayerNorm(nn.Module):
|
| 8 |
+
weight: torch.Tensor
|
| 9 |
+
variance_epsilon: float
|
| 10 |
+
|
| 11 |
+
def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
|
| 12 |
+
output = ops.dropout_add_ln_fwd(
|
| 13 |
+
hidden_states.view(-1, hidden_states.shape[-1]),
|
| 14 |
+
gamma = self.weight,
|
| 15 |
+
beta = None,
|
| 16 |
+
rowscale = None,
|
| 17 |
+
colscale = None,
|
| 18 |
+
x0_subset = None,
|
| 19 |
+
z_subset = None,
|
| 20 |
+
dropout_p = 0,
|
| 21 |
+
epsilon = self.variance_epsilon,
|
| 22 |
+
rowscale_const = 1.0,
|
| 23 |
+
z_numrows = hidden_states.shape[1],
|
| 24 |
+
gen = None,
|
| 25 |
+
residual_in_fp32 = False,
|
| 26 |
+
is_rms_norm = False,
|
| 27 |
+
)
|
| 28 |
+
return output[0].view(hidden_states.shape)
|
| 29 |
+
|
| 30 |
+
class LlamaRMSNorm(nn.Module):
|
| 31 |
+
weight: torch.Tensor
|
| 32 |
+
variance_epsilon: float
|
| 33 |
+
|
| 34 |
+
def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
|
| 35 |
+
output = ops.dropout_add_ln_fwd(
|
| 36 |
+
hidden_states.view(-1, hidden_states.shape[-1]),
|
| 37 |
+
gamma = self.weight,
|
| 38 |
+
beta = None,
|
| 39 |
+
rowscale = None,
|
| 40 |
+
colscale = None,
|
| 41 |
+
x0_subset = None,
|
| 42 |
+
z_subset = None,
|
| 43 |
+
dropout_p = 0,
|
| 44 |
+
epsilon = self.variance_epsilon,
|
| 45 |
+
rowscale_const = 1.0,
|
| 46 |
+
z_numrows = hidden_states.shape[1],
|
| 47 |
+
gen = None,
|
| 48 |
+
residual_in_fp32 = False,
|
| 49 |
+
is_rms_norm = True,
|
| 50 |
+
)
|
| 51 |
+
return output[0].view(hidden_states.shape)
|
build/torch214-cxx11-cu132-aarch64-linux/metadata.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "layer-norm",
|
| 3 |
+
"id": "_layer_norm_cuda_addf474",
|
| 4 |
+
"version": 1,
|
| 5 |
+
"license": "BSD-3-Clause",
|
| 6 |
+
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
+
"backend": {
|
| 9 |
+
"type": "cuda",
|
| 10 |
+
"archs": [
|
| 11 |
+
"10.0",
|
| 12 |
+
"12.0",
|
| 13 |
+
"8.0",
|
| 14 |
+
"8.9",
|
| 15 |
+
"9.0"
|
| 16 |
+
]
|
| 17 |
+
},
|
| 18 |
+
"digest": {
|
| 19 |
+
"algorithm": "sha256",
|
| 20 |
+
"files": {
|
| 21 |
+
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 22 |
+
"_layer_norm_cuda_addf474.abi3.so": "bX/DCPk6IrVGakeYAhp+Thw13NlNBopqYfuhR6qdQX4=",
|
| 23 |
+
"_ops.py": "oCOWtDsjVQEEwCJwI2XU28jy5ovUJE1bd221JrwOr9U=",
|
| 24 |
+
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 25 |
+
}
|
| 26 |
+
},
|
| 27 |
+
"provenance": {
|
| 28 |
+
"kernel-builder": {
|
| 29 |
+
"version": "0.17.0-dev0",
|
| 30 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 31 |
+
"dirty": false
|
| 32 |
+
},
|
| 33 |
+
"kernel": {
|
| 34 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 35 |
+
"dirty": false
|
| 36 |
+
}
|
| 37 |
+
}
|
| 38 |
+
}
|
build/torch214-cxx11-cu132-aarch64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
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