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Uploaded using `kernel-builder`.
Browse files- .gitattributes +9 -0
- build/torch211-cxx11-cu126-x86_64-linux/{_mra_cuda_10efe7e.abi3.so → _mra_cuda_2e4b976.abi3.so} +2 -2
- build/torch211-cxx11-cu126-x86_64-linux/_ops.py +3 -3
- build/torch211-cxx11-cu126-x86_64-linux/metadata.json +3 -3
- build/torch211-cxx11-cu126-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch211-cxx11-cu128-x86_64-linux/{_mra_cuda_10efe7e.abi3.so → _mra_cuda_2e4b976.abi3.so} +2 -2
- build/torch211-cxx11-cu128-x86_64-linux/_ops.py +3 -3
- build/torch211-cxx11-cu128-x86_64-linux/metadata.json +3 -3
- build/torch211-cxx11-cu128-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch211-cxx11-cu130-x86_64-linux/{_mra_cuda_10efe7e.abi3.so → _mra_cuda_2e4b976.abi3.so} +2 -2
- build/torch211-cxx11-cu130-x86_64-linux/_ops.py +3 -3
- build/torch211-cxx11-cu130-x86_64-linux/metadata.json +5 -4
- build/torch211-cxx11-cu130-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch212-cxx11-cu126-x86_64-linux/{_mra_cuda_10efe7e.abi3.so → _mra_cuda_2e4b976.abi3.so} +2 -2
- build/torch212-cxx11-cu126-x86_64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu126-x86_64-linux/metadata.json +3 -3
- build/torch212-cxx11-cu126-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch212-cxx11-cu130-x86_64-linux/_mra_cuda_10efe7e.abi3.so +0 -3
- build/torch212-cxx11-cu130-x86_64-linux/_mra_cuda_2e4b976.abi3.so +3 -0
- build/torch212-cxx11-cu130-x86_64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu130-x86_64-linux/metadata.json +5 -4
- build/torch212-cxx11-cu130-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch212-cxx11-cu132-x86_64-linux/_mra_cuda_10efe7e.abi3.so +0 -3
- build/torch212-cxx11-cu132-x86_64-linux/_mra_cuda_2e4b976.abi3.so +3 -0
- build/torch212-cxx11-cu132-x86_64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu132-x86_64-linux/metadata.json +5 -4
- build/torch212-cxx11-cu132-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch213-cxx11-cu126-x86_64-linux/__init__.py +25 -0
- build/torch213-cxx11-cu126-x86_64-linux/_mra_cuda_2e4b976.abi3.so +3 -0
- build/torch213-cxx11-cu126-x86_64-linux/_ops.py +9 -0
- build/torch213-cxx11-cu126-x86_64-linux/metadata.json +29 -0
- build/torch213-cxx11-cu126-x86_64-linux/metadata.json.sigstore +1 -0
- build/torch213-cxx11-cu126-x86_64-linux/mra/__init__.py +26 -0
- build/torch213-cxx11-cu130-x86_64-linux/__init__.py +25 -0
- build/torch213-cxx11-cu130-x86_64-linux/_mra_cuda_2e4b976.abi3.so +3 -0
- build/torch213-cxx11-cu130-x86_64-linux/_ops.py +9 -0
- build/torch213-cxx11-cu130-x86_64-linux/metadata.json +31 -0
- build/torch213-cxx11-cu130-x86_64-linux/metadata.json.sigstore +1 -0
- build/torch213-cxx11-cu130-x86_64-linux/mra/__init__.py +26 -0
- build/torch213-cxx11-cu132-x86_64-linux/__init__.py +25 -0
- build/torch213-cxx11-cu132-x86_64-linux/_mra_cuda_2e4b976.abi3.so +3 -0
- build/torch213-cxx11-cu132-x86_64-linux/_ops.py +9 -0
- build/torch213-cxx11-cu132-x86_64-linux/metadata.json +31 -0
- build/torch213-cxx11-cu132-x86_64-linux/metadata.json.sigstore +1 -0
- build/torch213-cxx11-cu132-x86_64-linux/mra/__init__.py +26 -0
.gitattributes
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build/torch213-cxx11-cu126-aarch64-linux/_mra_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu130-aarch64-linux/_mra_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu132-aarch64-linux/_mra_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu126-aarch64-linux/_mra_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu130-aarch64-linux/_mra_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu132-aarch64-linux/_mra_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch211-cxx11-cu126-x86_64-linux/_mra_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch211-cxx11-cu128-x86_64-linux/_mra_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch211-cxx11-cu130-x86_64-linux/_mra_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch212-cxx11-cu126-x86_64-linux/_mra_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch212-cxx11-cu132-x86_64-linux/_mra_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu126-x86_64-linux/_mra_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu130-x86_64-linux/_mra_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch213-cxx11-cu132-x86_64-linux/_mra_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch211-cxx11-cu126-x86_64-linux/{_mra_cuda_10efe7e.abi3.so → _mra_cuda_2e4b976.abi3.so}
RENAMED
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size 569552
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build/torch211-cxx11-cu126-x86_64-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 _mra_cuda_2e4b976
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ops = torch.ops._mra_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"_mra_cuda_2e4b976::{op_name}"
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{
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{
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"id": "_mra_cuda_2e4b976",
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build/torch211-cxx11-cu126-x86_64-linux/metadata.json.sigstore
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|
build/torch211-cxx11-cu128-x86_64-linux/{_mra_cuda_10efe7e.abi3.so → _mra_cuda_2e4b976.abi3.so}
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f68ac83e5330d954ca1a3be1d3a068cddeeaee31dfcc01fbb2c094d6e80b474f
|
| 3 |
+
size 787040
|
build/torch211-cxx11-cu128-x86_64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
import torch
|
| 2 |
-
from . import
|
| 3 |
-
ops = torch.ops.
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _mra_cuda_2e4b976
|
| 3 |
+
ops = torch.ops._mra_cuda_2e4b976
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_mra_cuda_2e4b976::{op_name}"
|
build/torch211-cxx11-cu128-x86_64-linux/metadata.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"name": "mra",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
@@ -24,8 +24,8 @@
|
|
| 24 |
"algorithm": "sha256",
|
| 25 |
"files": {
|
| 26 |
"__init__.py": "rOD+YTQTAYp4aEYAhklq0los8BAfKDZFPYurFZneW0Q=",
|
| 27 |
-
"
|
| 28 |
-
"_ops.py": "
|
| 29 |
"mra/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
|
| 30 |
}
|
| 31 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "mra",
|
| 3 |
+
"id": "_mra_cuda_2e4b976",
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
|
|
| 24 |
"algorithm": "sha256",
|
| 25 |
"files": {
|
| 26 |
"__init__.py": "rOD+YTQTAYp4aEYAhklq0los8BAfKDZFPYurFZneW0Q=",
|
| 27 |
+
"_mra_cuda_2e4b976.abi3.so": "9orIPlMw2VTKGjvh06Bozd7q7jHfzAH7ssCU1ugLR08=",
|
| 28 |
+
"_ops.py": "Jo1gxGQb0dr3foDf4r0wUQyMfsVuV2+7rM2k96xd4yk=",
|
| 29 |
"mra/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
|
| 30 |
}
|
| 31 |
}
|
build/torch211-cxx11-cu128-x86_64-linux/metadata.json.sigstore
CHANGED
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build/torch211-cxx11-cu130-x86_64-linux/{_mra_cuda_10efe7e.abi3.so → _mra_cuda_2e4b976.abi3.so}
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5e854c543943ab310ab5439b0d127e5e30d5f967585c43c44f6f2b10b6a7c60a
|
| 3 |
+
size 790464
|
build/torch211-cxx11-cu130-x86_64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
import torch
|
| 2 |
-
from . import
|
| 3 |
-
ops = torch.ops.
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _mra_cuda_2e4b976
|
| 3 |
+
ops = torch.ops._mra_cuda_2e4b976
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_mra_cuda_2e4b976::{op_name}"
|
build/torch211-cxx11-cu130-x86_64-linux/metadata.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"name": "mra",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
@@ -9,7 +9,8 @@
|
|
| 9 |
"archs": [
|
| 10 |
"10.0",
|
| 11 |
"11.0",
|
| 12 |
-
"12.0
|
|
|
|
| 13 |
"7.5",
|
| 14 |
"8.0",
|
| 15 |
"8.6",
|
|
@@ -22,8 +23,8 @@
|
|
| 22 |
"algorithm": "sha256",
|
| 23 |
"files": {
|
| 24 |
"__init__.py": "rOD+YTQTAYp4aEYAhklq0los8BAfKDZFPYurFZneW0Q=",
|
| 25 |
-
"
|
| 26 |
-
"_ops.py": "
|
| 27 |
"mra/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
|
| 28 |
}
|
| 29 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "mra",
|
| 3 |
+
"id": "_mra_cuda_2e4b976",
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
|
|
| 9 |
"archs": [
|
| 10 |
"10.0",
|
| 11 |
"11.0",
|
| 12 |
+
"12.0",
|
| 13 |
+
"12.1+PTX",
|
| 14 |
"7.5",
|
| 15 |
"8.0",
|
| 16 |
"8.6",
|
|
|
|
| 23 |
"algorithm": "sha256",
|
| 24 |
"files": {
|
| 25 |
"__init__.py": "rOD+YTQTAYp4aEYAhklq0los8BAfKDZFPYurFZneW0Q=",
|
| 26 |
+
"_mra_cuda_2e4b976.abi3.so": "XoVMVDlDqzEKtUObDRJ+XjDV+WdYXEPET28rELanxgo=",
|
| 27 |
+
"_ops.py": "Jo1gxGQb0dr3foDf4r0wUQyMfsVuV2+7rM2k96xd4yk=",
|
| 28 |
"mra/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
|
| 29 |
}
|
| 30 |
}
|
build/torch211-cxx11-cu130-x86_64-linux/metadata.json.sigstore
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
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build/torch212-cxx11-cu126-x86_64-linux/{_mra_cuda_10efe7e.abi3.so → _mra_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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| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:0acedc35e010d9fd455daf32d487e0f4b97972e0a330b20d2ccd7f220c38d5b5
|
| 3 |
+
size 573768
|
build/torch212-cxx11-cu126-x86_64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
import torch
|
| 2 |
-
from . import
|
| 3 |
-
ops = torch.ops.
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _mra_cuda_2e4b976
|
| 3 |
+
ops = torch.ops._mra_cuda_2e4b976
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_mra_cuda_2e4b976::{op_name}"
|
build/torch212-cxx11-cu126-x86_64-linux/metadata.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"name": "mra",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
@@ -21,8 +21,8 @@
|
|
| 21 |
"algorithm": "sha256",
|
| 22 |
"files": {
|
| 23 |
"__init__.py": "rOD+YTQTAYp4aEYAhklq0los8BAfKDZFPYurFZneW0Q=",
|
| 24 |
-
"
|
| 25 |
-
"_ops.py": "
|
| 26 |
"mra/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
|
| 27 |
}
|
| 28 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "mra",
|
| 3 |
+
"id": "_mra_cuda_2e4b976",
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
|
|
| 21 |
"algorithm": "sha256",
|
| 22 |
"files": {
|
| 23 |
"__init__.py": "rOD+YTQTAYp4aEYAhklq0los8BAfKDZFPYurFZneW0Q=",
|
| 24 |
+
"_mra_cuda_2e4b976.abi3.so": "Cs7cNeAQ2f1FXa8y1Ifg9Ll5cuCjMLINLM1/Igw41bU=",
|
| 25 |
+
"_ops.py": "Jo1gxGQb0dr3foDf4r0wUQyMfsVuV2+7rM2k96xd4yk=",
|
| 26 |
"mra/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
|
| 27 |
}
|
| 28 |
}
|
build/torch212-cxx11-cu126-x86_64-linux/metadata.json.sigstore
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
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build/torch212-cxx11-cu130-x86_64-linux/_mra_cuda_10efe7e.abi3.so
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build/torch212-cxx11-cu130-x86_64-linux/_mra_cuda_2e4b976.abi3.so
ADDED
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@@ -0,0 +1,3 @@
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|
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|
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+
version https://git-lfs.github.com/spec/v1
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+
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size 794744
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build/torch212-cxx11-cu130-x86_64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
import torch
|
| 2 |
-
from . import
|
| 3 |
-
ops = torch.ops.
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _mra_cuda_2e4b976
|
| 3 |
+
ops = torch.ops._mra_cuda_2e4b976
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_mra_cuda_2e4b976::{op_name}"
|
build/torch212-cxx11-cu130-x86_64-linux/metadata.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"name": "mra",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
@@ -9,7 +9,8 @@
|
|
| 9 |
"archs": [
|
| 10 |
"10.0",
|
| 11 |
"11.0",
|
| 12 |
-
"12.0
|
|
|
|
| 13 |
"7.5",
|
| 14 |
"8.0",
|
| 15 |
"8.6",
|
|
@@ -22,8 +23,8 @@
|
|
| 22 |
"algorithm": "sha256",
|
| 23 |
"files": {
|
| 24 |
"__init__.py": "rOD+YTQTAYp4aEYAhklq0los8BAfKDZFPYurFZneW0Q=",
|
| 25 |
-
"
|
| 26 |
-
"_ops.py": "
|
| 27 |
"mra/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
|
| 28 |
}
|
| 29 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "mra",
|
| 3 |
+
"id": "_mra_cuda_2e4b976",
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
|
|
| 9 |
"archs": [
|
| 10 |
"10.0",
|
| 11 |
"11.0",
|
| 12 |
+
"12.0",
|
| 13 |
+
"12.1+PTX",
|
| 14 |
"7.5",
|
| 15 |
"8.0",
|
| 16 |
"8.6",
|
|
|
|
| 23 |
"algorithm": "sha256",
|
| 24 |
"files": {
|
| 25 |
"__init__.py": "rOD+YTQTAYp4aEYAhklq0los8BAfKDZFPYurFZneW0Q=",
|
| 26 |
+
"_mra_cuda_2e4b976.abi3.so": "xczB8UvP4criFeY2tKp8NbVhrjyRrKjqo9YYd67Ix2s=",
|
| 27 |
+
"_ops.py": "Jo1gxGQb0dr3foDf4r0wUQyMfsVuV2+7rM2k96xd4yk=",
|
| 28 |
"mra/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
|
| 29 |
}
|
| 30 |
}
|
build/torch212-cxx11-cu130-x86_64-linux/metadata.json.sigstore
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
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build/torch212-cxx11-cu132-x86_64-linux/_mra_cuda_10efe7e.abi3.so
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build/torch212-cxx11-cu132-x86_64-linux/_mra_cuda_2e4b976.abi3.so
ADDED
|
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version https://git-lfs.github.com/spec/v1
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build/torch212-cxx11-cu132-x86_64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
import torch
|
| 2 |
-
from . import
|
| 3 |
-
ops = torch.ops.
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _mra_cuda_2e4b976
|
| 3 |
+
ops = torch.ops._mra_cuda_2e4b976
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_mra_cuda_2e4b976::{op_name}"
|
build/torch212-cxx11-cu132-x86_64-linux/metadata.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"name": "mra",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
@@ -9,7 +9,8 @@
|
|
| 9 |
"archs": [
|
| 10 |
"10.0",
|
| 11 |
"11.0",
|
| 12 |
-
"12.0
|
|
|
|
| 13 |
"7.5",
|
| 14 |
"8.0",
|
| 15 |
"8.6",
|
|
@@ -22,8 +23,8 @@
|
|
| 22 |
"algorithm": "sha256",
|
| 23 |
"files": {
|
| 24 |
"__init__.py": "rOD+YTQTAYp4aEYAhklq0los8BAfKDZFPYurFZneW0Q=",
|
| 25 |
-
"
|
| 26 |
-
"_ops.py": "
|
| 27 |
"mra/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
|
| 28 |
}
|
| 29 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "mra",
|
| 3 |
+
"id": "_mra_cuda_2e4b976",
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
|
|
| 9 |
"archs": [
|
| 10 |
"10.0",
|
| 11 |
"11.0",
|
| 12 |
+
"12.0",
|
| 13 |
+
"12.1+PTX",
|
| 14 |
"7.5",
|
| 15 |
"8.0",
|
| 16 |
"8.6",
|
|
|
|
| 23 |
"algorithm": "sha256",
|
| 24 |
"files": {
|
| 25 |
"__init__.py": "rOD+YTQTAYp4aEYAhklq0los8BAfKDZFPYurFZneW0Q=",
|
| 26 |
+
"_mra_cuda_2e4b976.abi3.so": "ZjE3pZugqMqdxLtRusho1QtP2NBnpduc3oqh6UepWyk=",
|
| 27 |
+
"_ops.py": "Jo1gxGQb0dr3foDf4r0wUQyMfsVuV2+7rM2k96xd4yk=",
|
| 28 |
"mra/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
|
| 29 |
}
|
| 30 |
}
|
build/torch212-cxx11-cu132-x86_64-linux/metadata.json.sigstore
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
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build/torch213-cxx11-cu126-x86_64-linux/__init__.py
ADDED
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| 1 |
+
from ._ops import ops
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| 2 |
+
import torch
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+
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| 4 |
+
def index_max(index_vals: torch.Tensor, indices: torch.Tensor, A_num_block: int, B_num_block: int):
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| 5 |
+
return ops.index_max(index_vals, indices, A_num_block, B_num_block)
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| 6 |
+
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| 7 |
+
def mm_to_sparse(dense_A: torch.Tensor, dense_B: torch.Tensor, indices: torch.Tensor):
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| 8 |
+
return ops.mm_to_sparse(dense_A, dense_B, indices)
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| 9 |
+
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| 10 |
+
def sparse_dense_mm(sparse_A: torch.Tensor, indices: torch.Tensor, dense_B: torch.Tensor, A_num_block: int):
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| 11 |
+
return ops.sparse_dense_mm(sparse_A, indices, dense_B, A_num_block)
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| 12 |
+
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| 13 |
+
def reduce_sum(sparse_A: torch.Tensor, indices: torch.Tensor, A_num_block: int, B_num_block: int):
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| 14 |
+
return ops.reduce_sum(sparse_A, indices, A_num_block, B_num_block)
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| 15 |
+
|
| 16 |
+
def scatter(dense_A: torch.Tensor, indices: torch.Tensor, B_num_block: int):
|
| 17 |
+
return ops.scatter(dense_A, indices, B_num_block)
|
| 18 |
+
|
| 19 |
+
__all__ = [
|
| 20 |
+
"index_max",
|
| 21 |
+
"mm_to_sparse",
|
| 22 |
+
"sparse_dense_mm",
|
| 23 |
+
"reduce_sum",
|
| 24 |
+
"scatter",
|
| 25 |
+
]
|
build/torch213-cxx11-cu126-x86_64-linux/_mra_cuda_2e4b976.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:55a54f1a271a5265bd16b609ade4979bb1e8926443c56cd6fc0c2da0cdc19e68
|
| 3 |
+
size 573768
|
build/torch213-cxx11-cu126-x86_64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _mra_cuda_2e4b976
|
| 3 |
+
ops = torch.ops._mra_cuda_2e4b976
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_mra_cuda_2e4b976::{op_name}"
|
build/torch213-cxx11-cu126-x86_64-linux/metadata.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "mra",
|
| 3 |
+
"id": "_mra_cuda_2e4b976",
|
| 4 |
+
"version": 1,
|
| 5 |
+
"license": "Apache-2.0",
|
| 6 |
+
"python-depends": [],
|
| 7 |
+
"backend": {
|
| 8 |
+
"type": "cuda",
|
| 9 |
+
"archs": [
|
| 10 |
+
"7.0",
|
| 11 |
+
"7.2",
|
| 12 |
+
"7.5",
|
| 13 |
+
"8.0",
|
| 14 |
+
"8.6",
|
| 15 |
+
"8.7",
|
| 16 |
+
"8.9",
|
| 17 |
+
"9.0+PTX"
|
| 18 |
+
]
|
| 19 |
+
},
|
| 20 |
+
"digest": {
|
| 21 |
+
"algorithm": "sha256",
|
| 22 |
+
"files": {
|
| 23 |
+
"__init__.py": "rOD+YTQTAYp4aEYAhklq0los8BAfKDZFPYurFZneW0Q=",
|
| 24 |
+
"_mra_cuda_2e4b976.abi3.so": "VaVPGicaUmW9FrYJreSXm7HokmRDxWzW/AwtoM3Bnmg=",
|
| 25 |
+
"_ops.py": "Jo1gxGQb0dr3foDf4r0wUQyMfsVuV2+7rM2k96xd4yk=",
|
| 26 |
+
"mra/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
|
| 27 |
+
}
|
| 28 |
+
}
|
| 29 |
+
}
|
build/torch213-cxx11-cu126-x86_64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
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build/torch213-cxx11-cu126-x86_64-linux/mra/__init__.py
ADDED
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@@ -0,0 +1,26 @@
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+
import ctypes
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| 2 |
+
import importlib.util
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| 3 |
+
import sys
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| 4 |
+
from pathlib import Path
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| 5 |
+
from types import ModuleType
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| 6 |
+
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+
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| 8 |
+
def _import_from_path(file_path: Path) -> ModuleType:
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| 9 |
+
# We cannot use the module name as-is, after adding it to `sys.modules`,
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| 10 |
+
# it would also be used for other imports. So, we make a module name that
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| 11 |
+
# depends on the path for it to be unique using the hex-encoded hash of
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| 12 |
+
# the path.
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| 13 |
+
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
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| 14 |
+
module_name = path_hash
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| 15 |
+
spec = importlib.util.spec_from_file_location(module_name, file_path)
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| 16 |
+
if spec is None:
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| 17 |
+
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
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| 18 |
+
module = importlib.util.module_from_spec(spec)
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| 19 |
+
if module is None:
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| 20 |
+
raise ImportError(f"Cannot load module {module_name} from spec")
|
| 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-x86_64-linux/__init__.py
ADDED
|
@@ -0,0 +1,25 @@
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|
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|
|
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|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from ._ops import ops
|
| 2 |
+
import torch
|
| 3 |
+
|
| 4 |
+
def index_max(index_vals: torch.Tensor, indices: torch.Tensor, A_num_block: int, B_num_block: int):
|
| 5 |
+
return ops.index_max(index_vals, indices, A_num_block, B_num_block)
|
| 6 |
+
|
| 7 |
+
def mm_to_sparse(dense_A: torch.Tensor, dense_B: torch.Tensor, indices: torch.Tensor):
|
| 8 |
+
return ops.mm_to_sparse(dense_A, dense_B, indices)
|
| 9 |
+
|
| 10 |
+
def sparse_dense_mm(sparse_A: torch.Tensor, indices: torch.Tensor, dense_B: torch.Tensor, A_num_block: int):
|
| 11 |
+
return ops.sparse_dense_mm(sparse_A, indices, dense_B, A_num_block)
|
| 12 |
+
|
| 13 |
+
def reduce_sum(sparse_A: torch.Tensor, indices: torch.Tensor, A_num_block: int, B_num_block: int):
|
| 14 |
+
return ops.reduce_sum(sparse_A, indices, A_num_block, B_num_block)
|
| 15 |
+
|
| 16 |
+
def scatter(dense_A: torch.Tensor, indices: torch.Tensor, B_num_block: int):
|
| 17 |
+
return ops.scatter(dense_A, indices, B_num_block)
|
| 18 |
+
|
| 19 |
+
__all__ = [
|
| 20 |
+
"index_max",
|
| 21 |
+
"mm_to_sparse",
|
| 22 |
+
"sparse_dense_mm",
|
| 23 |
+
"reduce_sum",
|
| 24 |
+
"scatter",
|
| 25 |
+
]
|
build/torch213-cxx11-cu130-x86_64-linux/_mra_cuda_2e4b976.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1b3692d9a1ed58110cceca06c112985a7bed7db44386075bad5e1faf424063c4
|
| 3 |
+
size 794744
|
build/torch213-cxx11-cu130-x86_64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _mra_cuda_2e4b976
|
| 3 |
+
ops = torch.ops._mra_cuda_2e4b976
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_mra_cuda_2e4b976::{op_name}"
|
build/torch213-cxx11-cu130-x86_64-linux/metadata.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "mra",
|
| 3 |
+
"id": "_mra_cuda_2e4b976",
|
| 4 |
+
"version": 1,
|
| 5 |
+
"license": "Apache-2.0",
|
| 6 |
+
"python-depends": [],
|
| 7 |
+
"backend": {
|
| 8 |
+
"type": "cuda",
|
| 9 |
+
"archs": [
|
| 10 |
+
"10.0",
|
| 11 |
+
"11.0",
|
| 12 |
+
"12.0",
|
| 13 |
+
"12.1+PTX",
|
| 14 |
+
"7.5",
|
| 15 |
+
"8.0",
|
| 16 |
+
"8.6",
|
| 17 |
+
"8.7",
|
| 18 |
+
"8.9",
|
| 19 |
+
"9.0"
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"digest": {
|
| 23 |
+
"algorithm": "sha256",
|
| 24 |
+
"files": {
|
| 25 |
+
"__init__.py": "rOD+YTQTAYp4aEYAhklq0los8BAfKDZFPYurFZneW0Q=",
|
| 26 |
+
"_mra_cuda_2e4b976.abi3.so": "GzaS2aHtWBEMzsoGwRKYWnvtfbRDhgdbrV4fr0JAY8Q=",
|
| 27 |
+
"_ops.py": "Jo1gxGQb0dr3foDf4r0wUQyMfsVuV2+7rM2k96xd4yk=",
|
| 28 |
+
"mra/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
|
| 29 |
+
}
|
| 30 |
+
}
|
| 31 |
+
}
|
build/torch213-cxx11-cu130-x86_64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
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|
build/torch213-cxx11-cu130-x86_64-linux/mra/__init__.py
ADDED
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@@ -0,0 +1,26 @@
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| 1 |
+
import ctypes
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| 2 |
+
import importlib.util
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| 3 |
+
import sys
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| 4 |
+
from pathlib import Path
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| 5 |
+
from types import ModuleType
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| 6 |
+
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| 7 |
+
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| 8 |
+
def _import_from_path(file_path: Path) -> ModuleType:
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| 9 |
+
# We cannot use the module name as-is, after adding it to `sys.modules`,
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| 10 |
+
# it would also be used for other imports. So, we make a module name that
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| 11 |
+
# depends on the path for it to be unique using the hex-encoded hash of
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| 12 |
+
# the path.
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| 13 |
+
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 14 |
+
module_name = path_hash
|
| 15 |
+
spec = importlib.util.spec_from_file_location(module_name, file_path)
|
| 16 |
+
if spec is None:
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| 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-x86_64-linux/__init__.py
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from ._ops import ops
|
| 2 |
+
import torch
|
| 3 |
+
|
| 4 |
+
def index_max(index_vals: torch.Tensor, indices: torch.Tensor, A_num_block: int, B_num_block: int):
|
| 5 |
+
return ops.index_max(index_vals, indices, A_num_block, B_num_block)
|
| 6 |
+
|
| 7 |
+
def mm_to_sparse(dense_A: torch.Tensor, dense_B: torch.Tensor, indices: torch.Tensor):
|
| 8 |
+
return ops.mm_to_sparse(dense_A, dense_B, indices)
|
| 9 |
+
|
| 10 |
+
def sparse_dense_mm(sparse_A: torch.Tensor, indices: torch.Tensor, dense_B: torch.Tensor, A_num_block: int):
|
| 11 |
+
return ops.sparse_dense_mm(sparse_A, indices, dense_B, A_num_block)
|
| 12 |
+
|
| 13 |
+
def reduce_sum(sparse_A: torch.Tensor, indices: torch.Tensor, A_num_block: int, B_num_block: int):
|
| 14 |
+
return ops.reduce_sum(sparse_A, indices, A_num_block, B_num_block)
|
| 15 |
+
|
| 16 |
+
def scatter(dense_A: torch.Tensor, indices: torch.Tensor, B_num_block: int):
|
| 17 |
+
return ops.scatter(dense_A, indices, B_num_block)
|
| 18 |
+
|
| 19 |
+
__all__ = [
|
| 20 |
+
"index_max",
|
| 21 |
+
"mm_to_sparse",
|
| 22 |
+
"sparse_dense_mm",
|
| 23 |
+
"reduce_sum",
|
| 24 |
+
"scatter",
|
| 25 |
+
]
|
build/torch213-cxx11-cu132-x86_64-linux/_mra_cuda_2e4b976.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:242cef818b2c6536a4a116e5202fa4f8f0a5c5420bb6d4b775548ae4337b61f4
|
| 3 |
+
size 866752
|
build/torch213-cxx11-cu132-x86_64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _mra_cuda_2e4b976
|
| 3 |
+
ops = torch.ops._mra_cuda_2e4b976
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_mra_cuda_2e4b976::{op_name}"
|
build/torch213-cxx11-cu132-x86_64-linux/metadata.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "mra",
|
| 3 |
+
"id": "_mra_cuda_2e4b976",
|
| 4 |
+
"version": 1,
|
| 5 |
+
"license": "Apache-2.0",
|
| 6 |
+
"python-depends": [],
|
| 7 |
+
"backend": {
|
| 8 |
+
"type": "cuda",
|
| 9 |
+
"archs": [
|
| 10 |
+
"10.0",
|
| 11 |
+
"11.0",
|
| 12 |
+
"12.0",
|
| 13 |
+
"12.1+PTX",
|
| 14 |
+
"7.5",
|
| 15 |
+
"8.0",
|
| 16 |
+
"8.6",
|
| 17 |
+
"8.7",
|
| 18 |
+
"8.9",
|
| 19 |
+
"9.0"
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"digest": {
|
| 23 |
+
"algorithm": "sha256",
|
| 24 |
+
"files": {
|
| 25 |
+
"__init__.py": "rOD+YTQTAYp4aEYAhklq0los8BAfKDZFPYurFZneW0Q=",
|
| 26 |
+
"_mra_cuda_2e4b976.abi3.so": "JCzvgYssZTakoRblIC+k+PClxUILttS3dVSK5DN7YfQ=",
|
| 27 |
+
"_ops.py": "Jo1gxGQb0dr3foDf4r0wUQyMfsVuV2+7rM2k96xd4yk=",
|
| 28 |
+
"mra/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
|
| 29 |
+
}
|
| 30 |
+
}
|
| 31 |
+
}
|
build/torch213-cxx11-cu132-x86_64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
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mIwMWlaMVpxZFdRMVpWSkNTMWQyWkRWclF6WTFUR3RtY2xwSVJqQTBlRzFMVUdrd1duWXJUSEl6Y1hWNlRrTnhabTFEUjBKSWFqbGxDaTB0TFMwdFJVNUVJRU5GVWxSSlJrbERRVlJGTFMwdExTMEsifX19fQ=="}],"timestampVerificationData":{"rfc3161Timestamps":[{"signedTimestamp":"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"}]}},"messageSignature":{"messageDigest":{"algorithm":"SHA2_256","digest":"3PjhcdeHuLkWBhi3Nf9SP46Aj8CZ6tXyby+N2OY+XTY="},"signature":"MEUCIQCiZ1owXeJO2Osbqk6INSmincsWcID89/cu/whvld9e2wIgbxMJ5FzZ084jZgY/o/MPFRbUTUVbudemlakIM+mL0oA="}}
|
build/torch213-cxx11-cu132-x86_64-linux/mra/__init__.py
ADDED
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@@ -0,0 +1,26 @@
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| 1 |
+
import ctypes
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| 2 |
+
import importlib.util
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| 3 |
+
import sys
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| 4 |
+
from pathlib import Path
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| 5 |
+
from types import ModuleType
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| 6 |
+
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| 7 |
+
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| 8 |
+
def _import_from_path(file_path: Path) -> ModuleType:
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| 9 |
+
# We cannot use the module name as-is, after adding it to `sys.modules`,
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| 10 |
+
# it would also be used for other imports. So, we make a module name that
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| 11 |
+
# depends on the path for it to be unique using the hex-encoded hash of
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| 12 |
+
# the path.
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| 13 |
+
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 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")))
|