Kernels:
Trusted publisher
Uploaded using `kernel-builder`.
Browse files- .gitattributes +9 -0
- build/torch211-cxx11-cu126-aarch64-linux/{_layer_norm_cuda_73ccd0c.abi3.so → _layer_norm_cuda_2e4b976.abi3.so} +2 -2
- build/torch211-cxx11-cu126-aarch64-linux/_ops.py +3 -3
- build/torch211-cxx11-cu126-aarch64-linux/metadata.json +3 -3
- build/torch211-cxx11-cu126-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch211-cxx11-cu128-aarch64-linux/{_layer_norm_cuda_73ccd0c.abi3.so → _layer_norm_cuda_2e4b976.abi3.so} +2 -2
- build/torch211-cxx11-cu128-aarch64-linux/_ops.py +3 -3
- build/torch211-cxx11-cu128-aarch64-linux/metadata.json +3 -3
- build/torch211-cxx11-cu128-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch211-cxx11-cu130-aarch64-linux/{_layer_norm_cuda_73ccd0c.abi3.so → _layer_norm_cuda_2e4b976.abi3.so} +2 -2
- build/torch211-cxx11-cu130-aarch64-linux/_ops.py +3 -3
- build/torch211-cxx11-cu130-aarch64-linux/metadata.json +3 -3
- build/torch211-cxx11-cu130-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch212-cxx11-cu126-aarch64-linux/{_layer_norm_cuda_73ccd0c.abi3.so → _layer_norm_cuda_2e4b976.abi3.so} +2 -2
- build/torch212-cxx11-cu126-aarch64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu126-aarch64-linux/metadata.json +3 -3
- build/torch212-cxx11-cu126-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch212-cxx11-cu130-aarch64-linux/_layer_norm_cuda_2e4b976.abi3.so +3 -0
- build/torch212-cxx11-cu130-aarch64-linux/_layer_norm_cuda_73ccd0c.abi3.so +0 -3
- build/torch212-cxx11-cu130-aarch64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu130-aarch64-linux/metadata.json +3 -3
- build/torch212-cxx11-cu130-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch212-cxx11-cu132-aarch64-linux/_layer_norm_cuda_2e4b976.abi3.so +3 -0
- build/torch212-cxx11-cu132-aarch64-linux/_layer_norm_cuda_73ccd0c.abi3.so +0 -3
- build/torch212-cxx11-cu132-aarch64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu132-aarch64-linux/metadata.json +3 -3
- build/torch212-cxx11-cu132-aarch64-linux/metadata.json.sigstore +1 -1
- build/torch213-cxx11-cu126-aarch64-linux/__init__.py +26 -0
- build/torch213-cxx11-cu126-aarch64-linux/_layer_norm_cuda_2e4b976.abi3.so +3 -0
- build/torch213-cxx11-cu126-aarch64-linux/_ops.py +9 -0
- build/torch213-cxx11-cu126-aarch64-linux/layer_norm/__init__.py +26 -0
- build/torch213-cxx11-cu126-aarch64-linux/layers.py +51 -0
- build/torch213-cxx11-cu126-aarch64-linux/metadata.json +25 -0
- build/torch213-cxx11-cu126-aarch64-linux/metadata.json.sigstore +1 -0
- build/torch213-cxx11-cu130-aarch64-linux/__init__.py +26 -0
- build/torch213-cxx11-cu130-aarch64-linux/_layer_norm_cuda_2e4b976.abi3.so +3 -0
- build/torch213-cxx11-cu130-aarch64-linux/_ops.py +9 -0
- build/torch213-cxx11-cu130-aarch64-linux/layer_norm/__init__.py +26 -0
- build/torch213-cxx11-cu130-aarch64-linux/layers.py +51 -0
- build/torch213-cxx11-cu130-aarch64-linux/metadata.json +27 -0
- build/torch213-cxx11-cu130-aarch64-linux/metadata.json.sigstore +1 -0
- build/torch213-cxx11-cu132-aarch64-linux/__init__.py +26 -0
- build/torch213-cxx11-cu132-aarch64-linux/_layer_norm_cuda_2e4b976.abi3.so +3 -0
- build/torch213-cxx11-cu132-aarch64-linux/_ops.py +9 -0
- build/torch213-cxx11-cu132-aarch64-linux/layer_norm/__init__.py +26 -0
- build/torch213-cxx11-cu132-aarch64-linux/layers.py +51 -0
- build/torch213-cxx11-cu132-aarch64-linux/metadata.json +27 -0
- build/torch213-cxx11-cu132-aarch64-linux/metadata.json.sigstore +1 -0
.gitattributes
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build/torch212-cxx11-cu126-x86_64-linux/_layer_norm_cuda_73ccd0c.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch212-cxx11-cu130-x86_64-linux/_layer_norm_cuda_73ccd0c.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch212-cxx11-cu132-x86_64-linux/_layer_norm_cuda_73ccd0c.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch212-cxx11-cu126-x86_64-linux/_layer_norm_cuda_73ccd0c.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch212-cxx11-cu130-x86_64-linux/_layer_norm_cuda_73ccd0c.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch212-cxx11-cu132-x86_64-linux/_layer_norm_cuda_73ccd0c.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch211-cxx11-cu126-aarch64-linux/_layer_norm_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch211-cxx11-cu128-aarch64-linux/_layer_norm_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch211-cxx11-cu130-aarch64-linux/_layer_norm_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch212-cxx11-cu126-aarch64-linux/_layer_norm_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu126-aarch64-linux/_layer_norm_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu130-aarch64-linux/_layer_norm_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu132-aarch64-linux/_layer_norm_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch211-cxx11-cu126-aarch64-linux/{_layer_norm_cuda_73ccd0c.abi3.so → _layer_norm_cuda_2e4b976.abi3.so}
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build/torch211-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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return f"
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import torch
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from . import _layer_norm_cuda_2e4b976
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ops = torch.ops._layer_norm_cuda_2e4b976
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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_2e4b976::{op_name}"
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build/torch211-cxx11-cu128-aarch64-linux/{_layer_norm_cuda_73ccd0c.abi3.so → _layer_norm_cuda_2e4b976.abi3.so}
RENAMED
|
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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| 3 |
-
size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:c67f4b8fee617b0fd760ec8f0f5e2518ef45f7e68a14e3b9506f5d3ed70811ed
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+
size 1229047240
|
build/torch211-cxx11-cu128-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_2e4b976
|
| 3 |
+
ops = torch.ops._layer_norm_cuda_2e4b976
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_layer_norm_cuda_2e4b976::{op_name}"
|
build/torch211-cxx11-cu128-aarch64-linux/metadata.json
CHANGED
|
@@ -1,6 +1,6 @@
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|
| 1 |
{
|
| 2 |
"name": "layer-norm",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
|
@@ -18,8 +18,8 @@
|
|
| 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 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "layer-norm",
|
| 3 |
+
"id": "_layer_norm_cuda_2e4b976",
|
| 4 |
"version": 1,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
|
|
|
| 18 |
"algorithm": "sha256",
|
| 19 |
"files": {
|
| 20 |
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 21 |
+
"_layer_norm_cuda_2e4b976.abi3.so": "xn9Lj+5hew/XYOyPD14lGO9F9+aKFOO5UG9dPtcIEe0=",
|
| 22 |
+
"_ops.py": "oIRvi3l5i6DkeH9f8TQ40JJtS5aTbkaZ1difnRcLY8U=",
|
| 23 |
"layer_norm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 24 |
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 25 |
}
|
build/torch211-cxx11-cu128-aarch64-linux/metadata.json.sigstore
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
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build/torch211-cxx11-cu130-aarch64-linux/{_layer_norm_cuda_73ccd0c.abi3.so → _layer_norm_cuda_2e4b976.abi3.so}
RENAMED
|
@@ -1,3 +1,3 @@
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| 1 |
version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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| 3 |
-
size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:72e0860e2106e0b2342a3870943954ab43ce8ac554f0481220474540fe3ea19e
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size 1233957096
|
build/torch211-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_2e4b976
|
| 3 |
+
ops = torch.ops._layer_norm_cuda_2e4b976
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_layer_norm_cuda_2e4b976::{op_name}"
|
build/torch211-cxx11-cu130-aarch64-linux/metadata.json
CHANGED
|
@@ -1,6 +1,6 @@
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|
| 1 |
{
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| 2 |
"name": "layer-norm",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
|
@@ -18,8 +18,8 @@
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|
| 18 |
"algorithm": "sha256",
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"files": {
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"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
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"
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"_ops.py": "
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"layer_norm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
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"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
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}
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{
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"name": "layer-norm",
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"id": "_layer_norm_cuda_2e4b976",
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| 4 |
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| 5 |
"license": "BSD-3-Clause",
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"algorithm": "sha256",
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"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
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"layer_norm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
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"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
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build/torch211-cxx11-cu130-aarch64-linux/metadata.json.sigstore
CHANGED
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build/torch212-cxx11-cu126-aarch64-linux/{_layer_norm_cuda_73ccd0c.abi3.so → _layer_norm_cuda_2e4b976.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
|
| 2 |
+
oid sha256:34d4558c2e8084f55f7485bceae81042165a72ba30db8b40162d6d4eb95d9192
|
| 3 |
+
size 709677048
|
build/torch212-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_2e4b976
|
| 3 |
+
ops = torch.ops._layer_norm_cuda_2e4b976
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_layer_norm_cuda_2e4b976::{op_name}"
|
build/torch212-cxx11-cu126-aarch64-linux/metadata.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"name": "layer-norm",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
|
@@ -16,8 +16,8 @@
|
|
| 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 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "layer-norm",
|
| 3 |
+
"id": "_layer_norm_cuda_2e4b976",
|
| 4 |
"version": 1,
|
| 5 |
"license": "BSD-3-Clause",
|
| 6 |
"python-depends": [],
|
|
|
|
| 16 |
"algorithm": "sha256",
|
| 17 |
"files": {
|
| 18 |
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 19 |
+
"_layer_norm_cuda_2e4b976.abi3.so": "NNRVjC6AhPVfdIW86ugQQhZacrow24tAFi1tTrldkZI=",
|
| 20 |
+
"_ops.py": "oIRvi3l5i6DkeH9f8TQ40JJtS5aTbkaZ1difnRcLY8U=",
|
| 21 |
"layer_norm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 22 |
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 23 |
}
|
build/torch212-cxx11-cu126-aarch64-linux/metadata.json.sigstore
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
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DELETED
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build/torch212-cxx11-cu130-aarch64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
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|
| 1 |
import torch
|
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-
from . import
|
| 3 |
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ops = torch.ops.
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| 4 |
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def add_op_namespace_prefix(op_name: str):
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| 6 |
"""
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Prefix op by namespace.
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return f"
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| 1 |
import torch
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from . import _layer_norm_cuda_2e4b976
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ops = torch.ops._layer_norm_cuda_2e4b976
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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 |
"""
|
| 9 |
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return f"_layer_norm_cuda_2e4b976::{op_name}"
|
build/torch212-cxx11-cu130-aarch64-linux/metadata.json
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build/torch212-cxx11-cu132-aarch64-linux/_layer_norm_cuda_2e4b976.abi3.so
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build/torch212-cxx11-cu132-aarch64-linux/_layer_norm_cuda_73ccd0c.abi3.so
DELETED
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version https://git-lfs.github.com/spec/v1
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build/torch212-cxx11-cu132-aarch64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
import torch
|
| 2 |
-
from . import
|
| 3 |
-
ops = torch.ops.
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _layer_norm_cuda_2e4b976
|
| 3 |
+
ops = torch.ops._layer_norm_cuda_2e4b976
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_layer_norm_cuda_2e4b976::{op_name}"
|
build/torch212-cxx11-cu132-aarch64-linux/metadata.json
CHANGED
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@@ -1,6 +1,6 @@
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| 1 |
{
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| 2 |
"name": "layer-norm",
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| 3 |
-
"id": "
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| 4 |
"version": 1,
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| 5 |
"license": "BSD-3-Clause",
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| 6 |
"python-depends": [],
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@@ -18,8 +18,8 @@
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| 18 |
"algorithm": "sha256",
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| 19 |
"files": {
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| 20 |
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
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-
"
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"_ops.py": "
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"layer_norm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
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| 24 |
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
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| 25 |
}
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|
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| 1 |
{
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| 2 |
"name": "layer-norm",
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| 3 |
+
"id": "_layer_norm_cuda_2e4b976",
|
| 4 |
"version": 1,
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| 5 |
"license": "BSD-3-Clause",
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| 6 |
"python-depends": [],
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|
|
|
| 18 |
"algorithm": "sha256",
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| 19 |
"files": {
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| 20 |
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
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+
"_layer_norm_cuda_2e4b976.abi3.so": "uIb1de2Y1266FFQ7IXjY0ItIrIumDMp5Zkgsu5YbxJQ=",
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"_ops.py": "oIRvi3l5i6DkeH9f8TQ40JJtS5aTbkaZ1difnRcLY8U=",
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"layer_norm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
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"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
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}
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build/torch212-cxx11-cu132-aarch64-linux/metadata.json.sigstore
CHANGED
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"timestampVerificationData":{"rfc3161Timestamps":[{"signedTimestamp":"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"}]}}, 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|
build/torch213-cxx11-cu126-aarch64-linux/__init__.py
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
|
| 4 |
+
from ._ops import ops
|
| 5 |
+
|
| 6 |
+
from . import layers
|
| 7 |
+
|
| 8 |
+
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):
|
| 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)
|
| 10 |
+
|
| 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):
|
| 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)
|
| 13 |
+
|
| 14 |
+
def dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm):
|
| 15 |
+
return ops.dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm)
|
| 16 |
+
|
| 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):
|
| 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/torch213-cxx11-cu126-aarch64-linux/_layer_norm_cuda_2e4b976.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7b09a0fa77d5b908337fe29e5c5fe04a73d5fab4de6fbfb39a2bc8aeca4527d4
|
| 3 |
+
size 709677256
|
build/torch213-cxx11-cu126-aarch64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _layer_norm_cuda_2e4b976
|
| 3 |
+
ops = torch.ops._layer_norm_cuda_2e4b976
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_layer_norm_cuda_2e4b976::{op_name}"
|
build/torch213-cxx11-cu126-aarch64-linux/layer_norm/__init__.py
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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")))
|
build/torch213-cxx11-cu126-aarch64-linux/layers.py
ADDED
|
@@ -0,0 +1,51 @@
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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/torch213-cxx11-cu126-aarch64-linux/metadata.json
ADDED
|
@@ -0,0 +1,25 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"name": "layer-norm",
|
| 3 |
+
"id": "_layer_norm_cuda_2e4b976",
|
| 4 |
+
"version": 1,
|
| 5 |
+
"license": "BSD-3-Clause",
|
| 6 |
+
"python-depends": [],
|
| 7 |
+
"backend": {
|
| 8 |
+
"type": "cuda",
|
| 9 |
+
"archs": [
|
| 10 |
+
"8.0",
|
| 11 |
+
"8.9",
|
| 12 |
+
"9.0"
|
| 13 |
+
]
|
| 14 |
+
},
|
| 15 |
+
"digest": {
|
| 16 |
+
"algorithm": "sha256",
|
| 17 |
+
"files": {
|
| 18 |
+
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 19 |
+
"_layer_norm_cuda_2e4b976.abi3.so": "ewmg+nfVuQgzf+KeXF/gSnPV+rTeb7+zmivIrspFJ9Q=",
|
| 20 |
+
"_ops.py": "oIRvi3l5i6DkeH9f8TQ40JJtS5aTbkaZ1difnRcLY8U=",
|
| 21 |
+
"layer_norm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 22 |
+
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 23 |
+
}
|
| 24 |
+
}
|
| 25 |
+
}
|
build/torch213-cxx11-cu126-aarch64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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|
build/torch213-cxx11-cu130-aarch64-linux/__init__.py
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
|
| 4 |
+
from ._ops import ops
|
| 5 |
+
|
| 6 |
+
from . import layers
|
| 7 |
+
|
| 8 |
+
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):
|
| 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)
|
| 10 |
+
|
| 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):
|
| 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)
|
| 13 |
+
|
| 14 |
+
def dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm):
|
| 15 |
+
return ops.dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm)
|
| 16 |
+
|
| 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):
|
| 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/torch213-cxx11-cu130-aarch64-linux/_layer_norm_cuda_2e4b976.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4d7512775496959099d63be5ac0ed8904dc94a2a40fabe0677f792458727123d
|
| 3 |
+
size 1233960600
|
build/torch213-cxx11-cu130-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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|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _layer_norm_cuda_2e4b976
|
| 3 |
+
ops = torch.ops._layer_norm_cuda_2e4b976
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_layer_norm_cuda_2e4b976::{op_name}"
|
build/torch213-cxx11-cu130-aarch64-linux/layer_norm/__init__.py
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
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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")))
|
build/torch213-cxx11-cu130-aarch64-linux/layers.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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class LayerNorm(nn.Module):
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weight: torch.Tensor
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variance_epsilon: float
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def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
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output = ops.dropout_add_ln_fwd(
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hidden_states.view(-1, hidden_states.shape[-1]),
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gamma = self.weight,
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beta = None,
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rowscale = None,
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colscale = None,
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x0_subset = None,
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z_subset = None,
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dropout_p = 0,
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epsilon = self.variance_epsilon,
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rowscale_const = 1.0,
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z_numrows = hidden_states.shape[1],
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gen = None,
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residual_in_fp32 = False,
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is_rms_norm = False,
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)
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return output[0].view(hidden_states.shape)
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class LlamaRMSNorm(nn.Module):
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weight: torch.Tensor
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variance_epsilon: float
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def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
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output = ops.dropout_add_ln_fwd(
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hidden_states.view(-1, hidden_states.shape[-1]),
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gamma = self.weight,
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beta = None,
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rowscale = None,
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colscale = None,
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x0_subset = None,
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z_subset = None,
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dropout_p = 0,
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epsilon = self.variance_epsilon,
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rowscale_const = 1.0,
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z_numrows = hidden_states.shape[1],
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gen = None,
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residual_in_fp32 = False,
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is_rms_norm = True,
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)
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return output[0].view(hidden_states.shape)
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build/torch213-cxx11-cu130-aarch64-linux/metadata.json
ADDED
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@@ -0,0 +1,27 @@
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{
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"name": "layer-norm",
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"id": "_layer_norm_cuda_2e4b976",
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"version": 1,
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"license": "BSD-3-Clause",
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"python-depends": [],
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"backend": {
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"type": "cuda",
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"archs": [
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"10.0",
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"12.0",
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"8.0",
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"8.9",
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"9.0"
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]
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},
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"digest": {
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| 18 |
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"algorithm": "sha256",
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| 19 |
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"files": {
|
| 20 |
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"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 21 |
+
"_layer_norm_cuda_2e4b976.abi3.so": "TXUSd1SWlZCZ1jvlrA7YkE3JSipA+r4Gd/eSRYcnEj0=",
|
| 22 |
+
"_ops.py": "oIRvi3l5i6DkeH9f8TQ40JJtS5aTbkaZ1difnRcLY8U=",
|
| 23 |
+
"layer_norm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 24 |
+
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 25 |
+
}
|
| 26 |
+
}
|
| 27 |
+
}
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build/torch213-cxx11-cu130-aarch64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
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| 1 |
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|
build/torch213-cxx11-cu132-aarch64-linux/__init__.py
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
|
| 4 |
+
from ._ops import ops
|
| 5 |
+
|
| 6 |
+
from . import layers
|
| 7 |
+
|
| 8 |
+
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):
|
| 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)
|
| 10 |
+
|
| 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):
|
| 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)
|
| 13 |
+
|
| 14 |
+
def dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm):
|
| 15 |
+
return ops.dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm)
|
| 16 |
+
|
| 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):
|
| 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/torch213-cxx11-cu132-aarch64-linux/_layer_norm_cuda_2e4b976.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
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|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:89369ebd38aa573fb7855e1ab203f4fdccfe72a7597b1d7cc9b9ad6d6c93e2b4
|
| 3 |
+
size 1217584192
|
build/torch213-cxx11-cu132-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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|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _layer_norm_cuda_2e4b976
|
| 3 |
+
ops = torch.ops._layer_norm_cuda_2e4b976
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_layer_norm_cuda_2e4b976::{op_name}"
|
build/torch213-cxx11-cu132-aarch64-linux/layer_norm/__init__.py
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
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|
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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")))
|
build/torch213-cxx11-cu132-aarch64-linux/layers.py
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
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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/torch213-cxx11-cu132-aarch64-linux/metadata.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "layer-norm",
|
| 3 |
+
"id": "_layer_norm_cuda_2e4b976",
|
| 4 |
+
"version": 1,
|
| 5 |
+
"license": "BSD-3-Clause",
|
| 6 |
+
"python-depends": [],
|
| 7 |
+
"backend": {
|
| 8 |
+
"type": "cuda",
|
| 9 |
+
"archs": [
|
| 10 |
+
"10.0",
|
| 11 |
+
"12.0",
|
| 12 |
+
"8.0",
|
| 13 |
+
"8.9",
|
| 14 |
+
"9.0"
|
| 15 |
+
]
|
| 16 |
+
},
|
| 17 |
+
"digest": {
|
| 18 |
+
"algorithm": "sha256",
|
| 19 |
+
"files": {
|
| 20 |
+
"__init__.py": "jDU4y5fj5PX2zHRl093nsBRJeljX4k0cH3xhCkY8TII=",
|
| 21 |
+
"_layer_norm_cuda_2e4b976.abi3.so": "iTaevTiqVz+3hV4asgP0/cz+cqdZex18ybmtbWyT4rQ=",
|
| 22 |
+
"_ops.py": "oIRvi3l5i6DkeH9f8TQ40JJtS5aTbkaZ1difnRcLY8U=",
|
| 23 |
+
"layer_norm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 24 |
+
"layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo="
|
| 25 |
+
}
|
| 26 |
+
}
|
| 27 |
+
}
|
build/torch213-cxx11-cu132-aarch64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", "verificationMaterial":{"certificate":{"rawBytes":"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"}, 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