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Browse files- build/torch212-cxx11-cu126-x86_64-linux/{_deformable_detr_cuda_8a730d9.abi3.so → _deformable_detr_cuda_addf474.abi3.so} +1 -1
- build/torch212-cxx11-cu126-x86_64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu126-x86_64-linux/deformable_detr/__init__.py +0 -26
- build/torch212-cxx11-cu126-x86_64-linux/metadata.json +6 -6
- build/torch212-cxx11-cu126-x86_64-linux/metadata.json.sigstore +1 -1
- build/{torch212-cxx11-cu132-x86_64-linux/_deformable_detr_cuda_8a730d9.abi3.so → torch212-cxx11-cu130-x86_64-linux/_deformable_detr_cuda_addf474.abi3.so} +2 -2
- build/torch212-cxx11-cu130-x86_64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu130-x86_64-linux/deformable_detr/__init__.py +0 -26
- build/torch212-cxx11-cu130-x86_64-linux/metadata.json +7 -6
- build/torch212-cxx11-cu130-x86_64-linux/metadata.json.sigstore +1 -1
- build/{torch212-cxx11-cu130-x86_64-linux/_deformable_detr_cuda_8a730d9.abi3.so → torch212-cxx11-cu132-x86_64-linux/_deformable_detr_cuda_addf474.abi3.so} +2 -2
- build/torch212-cxx11-cu132-x86_64-linux/_ops.py +3 -3
- build/torch212-cxx11-cu132-x86_64-linux/deformable_detr/__init__.py +0 -26
- build/torch212-cxx11-cu132-x86_64-linux/metadata.json +7 -6
- build/torch212-cxx11-cu132-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch213-cxx11-cu126-x86_64-linux/{_deformable_detr_cuda_8a730d9.abi3.so → _deformable_detr_cuda_addf474.abi3.so} +1 -1
- build/torch213-cxx11-cu126-x86_64-linux/_ops.py +3 -3
- build/torch213-cxx11-cu126-x86_64-linux/deformable_detr/__init__.py +0 -26
- build/torch213-cxx11-cu126-x86_64-linux/metadata.json +6 -6
- build/torch213-cxx11-cu126-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch213-cxx11-cu130-x86_64-linux/_deformable_detr_cuda_8a730d9.abi3.so +0 -3
- build/torch213-cxx11-cu130-x86_64-linux/_deformable_detr_cuda_addf474.abi3.so +3 -0
- build/torch213-cxx11-cu130-x86_64-linux/_ops.py +3 -3
- build/torch213-cxx11-cu130-x86_64-linux/deformable_detr/__init__.py +0 -26
- build/torch213-cxx11-cu130-x86_64-linux/metadata.json +7 -6
- build/torch213-cxx11-cu130-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch213-cxx11-cu132-x86_64-linux/_deformable_detr_cuda_8a730d9.abi3.so +0 -3
- build/torch213-cxx11-cu132-x86_64-linux/_deformable_detr_cuda_addf474.abi3.so +3 -0
- build/torch213-cxx11-cu132-x86_64-linux/_ops.py +3 -3
- build/torch213-cxx11-cu132-x86_64-linux/deformable_detr/__init__.py +0 -26
- build/torch213-cxx11-cu132-x86_64-linux/metadata.json +7 -6
- build/torch213-cxx11-cu132-x86_64-linux/metadata.json.sigstore +1 -1
- build/torch214-cxx11-cu126-x86_64-linux/__init__.py +46 -0
- build/torch214-cxx11-cu126-x86_64-linux/_deformable_detr_cuda_addf474.abi3.so +3 -0
- build/torch214-cxx11-cu126-x86_64-linux/_ops.py +9 -0
- build/torch214-cxx11-cu126-x86_64-linux/layers.py +84 -0
- build/torch214-cxx11-cu126-x86_64-linux/metadata.json +41 -0
- build/torch214-cxx11-cu126-x86_64-linux/metadata.json.sigstore +1 -0
- build/torch214-cxx11-cu130-x86_64-linux/__init__.py +46 -0
- build/torch214-cxx11-cu130-x86_64-linux/_deformable_detr_cuda_addf474.abi3.so +3 -0
- build/torch214-cxx11-cu130-x86_64-linux/_ops.py +9 -0
- build/torch214-cxx11-cu130-x86_64-linux/layers.py +84 -0
- build/torch214-cxx11-cu130-x86_64-linux/metadata.json +44 -0
- build/torch214-cxx11-cu130-x86_64-linux/metadata.json.sigstore +1 -0
- build/torch214-cxx11-cu132-x86_64-linux/__init__.py +46 -0
- build/torch214-cxx11-cu132-x86_64-linux/_deformable_detr_cuda_addf474.abi3.so +3 -0
- build/torch214-cxx11-cu132-x86_64-linux/_ops.py +9 -0
- build/torch214-cxx11-cu132-x86_64-linux/layers.py +84 -0
- build/torch214-cxx11-cu132-x86_64-linux/metadata.json +44 -0
- build/torch214-cxx11-cu132-x86_64-linux/metadata.json.sigstore +1 -0
build/torch212-cxx11-cu126-x86_64-linux/{_deformable_detr_cuda_8a730d9.abi3.so → _deformable_detr_cuda_addf474.abi3.so}
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version https://git-lfs.github.com/spec/v1
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build/torch212-cxx11-cu126-x86_64-linux/_ops.py
CHANGED
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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 _deformable_detr_cuda_addf474
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ops = torch.ops._deformable_detr_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"_deformable_detr_cuda_addf474::{op_name}"
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build/torch212-cxx11-cu126-x86_64-linux/deformable_detr/__init__.py
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import ctypes
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import importlib.util
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import sys
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from pathlib import Path
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from types import ModuleType
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def _import_from_path(file_path: Path) -> ModuleType:
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# We cannot use the module name as-is, after adding it to `sys.modules`,
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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-x86_64-linux/metadata.json
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build/{torch212-cxx11-cu132-x86_64-linux/_deformable_detr_cuda_8a730d9.abi3.so → torch212-cxx11-cu130-x86_64-linux/_deformable_detr_cuda_addf474.abi3.so}
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@@ -1,3 +1,3 @@
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oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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+
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+
size 9846232
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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 _deformable_detr_cuda_addf474
|
| 3 |
+
ops = torch.ops._deformable_detr_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_deformable_detr_cuda_addf474::{op_name}"
|
build/torch212-cxx11-cu130-x86_64-linux/deformable_detr/__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")))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
build/torch212-cxx11-cu130-x86_64-linux/metadata.json
CHANGED
|
@@ -1,13 +1,15 @@
|
|
| 1 |
{
|
| 2 |
"name": "deformable-detr",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
|
|
| 7 |
"backend": {
|
| 8 |
"type": "cuda",
|
| 9 |
"archs": [
|
| 10 |
"10.0",
|
|
|
|
| 11 |
"11.0",
|
| 12 |
"12.0",
|
| 13 |
"12.1+PTX",
|
|
@@ -23,20 +25,19 @@
|
|
| 23 |
"algorithm": "sha256",
|
| 24 |
"files": {
|
| 25 |
"__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=",
|
| 26 |
-
"
|
| 27 |
-
"_ops.py": "
|
| 28 |
-
"deformable_detr/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 29 |
"layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A="
|
| 30 |
}
|
| 31 |
},
|
| 32 |
"provenance": {
|
| 33 |
"kernel-builder": {
|
| 34 |
"version": "0.17.0-dev0",
|
| 35 |
-
"
|
| 36 |
"dirty": false
|
| 37 |
},
|
| 38 |
"kernel": {
|
| 39 |
-
"
|
| 40 |
"dirty": false
|
| 41 |
}
|
| 42 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "deformable-detr",
|
| 3 |
+
"id": "_deformable_detr_cuda_addf474",
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
"backend": {
|
| 9 |
"type": "cuda",
|
| 10 |
"archs": [
|
| 11 |
"10.0",
|
| 12 |
+
"10.3",
|
| 13 |
"11.0",
|
| 14 |
"12.0",
|
| 15 |
"12.1+PTX",
|
|
|
|
| 25 |
"algorithm": "sha256",
|
| 26 |
"files": {
|
| 27 |
"__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=",
|
| 28 |
+
"_deformable_detr_cuda_addf474.abi3.so": "i1nWMHkGQmlpitivq2GwHwCNuhbqDscqxzdULSpS4AM=",
|
| 29 |
+
"_ops.py": "Wxwn1CgThQXav5ENC1hyImlMR2f2U993B16vA8N0Vdw=",
|
|
|
|
| 30 |
"layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A="
|
| 31 |
}
|
| 32 |
},
|
| 33 |
"provenance": {
|
| 34 |
"kernel-builder": {
|
| 35 |
"version": "0.17.0-dev0",
|
| 36 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 37 |
"dirty": false
|
| 38 |
},
|
| 39 |
"kernel": {
|
| 40 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 41 |
"dirty": false
|
| 42 |
}
|
| 43 |
}
|
build/torch212-cxx11-cu130-x86_64-linux/metadata.json.sigstore
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
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build/{torch212-cxx11-cu130-x86_64-linux/_deformable_detr_cuda_8a730d9.abi3.so → torch212-cxx11-cu132-x86_64-linux/_deformable_detr_cuda_addf474.abi3.so}
RENAMED
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@@ -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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| 1 |
version https://git-lfs.github.com/spec/v1
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+
oid sha256:1209dcb4ce3b53e1b345d31c4f8dbe6c4334b7d58f2b8796e95e9f54aae8a989
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+
size 9979768
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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 _deformable_detr_cuda_addf474
|
| 3 |
+
ops = torch.ops._deformable_detr_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_deformable_detr_cuda_addf474::{op_name}"
|
build/torch212-cxx11-cu132-x86_64-linux/deformable_detr/__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")))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
build/torch212-cxx11-cu132-x86_64-linux/metadata.json
CHANGED
|
@@ -1,13 +1,15 @@
|
|
| 1 |
{
|
| 2 |
"name": "deformable-detr",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
|
|
| 7 |
"backend": {
|
| 8 |
"type": "cuda",
|
| 9 |
"archs": [
|
| 10 |
"10.0",
|
|
|
|
| 11 |
"11.0",
|
| 12 |
"12.0",
|
| 13 |
"12.1+PTX",
|
|
@@ -23,20 +25,19 @@
|
|
| 23 |
"algorithm": "sha256",
|
| 24 |
"files": {
|
| 25 |
"__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=",
|
| 26 |
-
"
|
| 27 |
-
"_ops.py": "
|
| 28 |
-
"deformable_detr/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 29 |
"layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A="
|
| 30 |
}
|
| 31 |
},
|
| 32 |
"provenance": {
|
| 33 |
"kernel-builder": {
|
| 34 |
"version": "0.17.0-dev0",
|
| 35 |
-
"
|
| 36 |
"dirty": false
|
| 37 |
},
|
| 38 |
"kernel": {
|
| 39 |
-
"
|
| 40 |
"dirty": false
|
| 41 |
}
|
| 42 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "deformable-detr",
|
| 3 |
+
"id": "_deformable_detr_cuda_addf474",
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
"backend": {
|
| 9 |
"type": "cuda",
|
| 10 |
"archs": [
|
| 11 |
"10.0",
|
| 12 |
+
"10.3",
|
| 13 |
"11.0",
|
| 14 |
"12.0",
|
| 15 |
"12.1+PTX",
|
|
|
|
| 25 |
"algorithm": "sha256",
|
| 26 |
"files": {
|
| 27 |
"__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=",
|
| 28 |
+
"_deformable_detr_cuda_addf474.abi3.so": "EgnctM47U+GzRdMcT42+bEM0t9WPK4eW6V6fVKroqYk=",
|
| 29 |
+
"_ops.py": "Wxwn1CgThQXav5ENC1hyImlMR2f2U993B16vA8N0Vdw=",
|
|
|
|
| 30 |
"layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A="
|
| 31 |
}
|
| 32 |
},
|
| 33 |
"provenance": {
|
| 34 |
"kernel-builder": {
|
| 35 |
"version": "0.17.0-dev0",
|
| 36 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 37 |
"dirty": false
|
| 38 |
},
|
| 39 |
"kernel": {
|
| 40 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 41 |
"dirty": false
|
| 42 |
}
|
| 43 |
}
|
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/{_deformable_detr_cuda_8a730d9.abi3.so → _deformable_detr_cuda_addf474.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 6658968
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:a7b51df4b23b2fce36e6c2fe569a79578273d8ba9e5956ffdcc9d00fd10336fe
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| 3 |
size 6658968
|
build/torch213-cxx11-cu126-x86_64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
import torch
|
| 2 |
-
from . import
|
| 3 |
-
ops = torch.ops.
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _deformable_detr_cuda_addf474
|
| 3 |
+
ops = torch.ops._deformable_detr_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_deformable_detr_cuda_addf474::{op_name}"
|
build/torch213-cxx11-cu126-x86_64-linux/deformable_detr/__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")))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
build/torch213-cxx11-cu126-x86_64-linux/metadata.json
CHANGED
|
@@ -1,9 +1,10 @@
|
|
| 1 |
{
|
| 2 |
"name": "deformable-detr",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
|
|
| 7 |
"backend": {
|
| 8 |
"type": "cuda",
|
| 9 |
"archs": [
|
|
@@ -21,20 +22,19 @@
|
|
| 21 |
"algorithm": "sha256",
|
| 22 |
"files": {
|
| 23 |
"__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=",
|
| 24 |
-
"
|
| 25 |
-
"_ops.py": "
|
| 26 |
-
"deformable_detr/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 27 |
"layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A="
|
| 28 |
}
|
| 29 |
},
|
| 30 |
"provenance": {
|
| 31 |
"kernel-builder": {
|
| 32 |
"version": "0.17.0-dev0",
|
| 33 |
-
"
|
| 34 |
"dirty": false
|
| 35 |
},
|
| 36 |
"kernel": {
|
| 37 |
-
"
|
| 38 |
"dirty": false
|
| 39 |
}
|
| 40 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "deformable-detr",
|
| 3 |
+
"id": "_deformable_detr_cuda_addf474",
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
"backend": {
|
| 9 |
"type": "cuda",
|
| 10 |
"archs": [
|
|
|
|
| 22 |
"algorithm": "sha256",
|
| 23 |
"files": {
|
| 24 |
"__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=",
|
| 25 |
+
"_deformable_detr_cuda_addf474.abi3.so": "p7Ud9LI7L8425sL+Vpp5V4Jz2LqeWVb/3MnQD9EDNv4=",
|
| 26 |
+
"_ops.py": "Wxwn1CgThQXav5ENC1hyImlMR2f2U993B16vA8N0Vdw=",
|
|
|
|
| 27 |
"layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A="
|
| 28 |
}
|
| 29 |
},
|
| 30 |
"provenance": {
|
| 31 |
"kernel-builder": {
|
| 32 |
"version": "0.17.0-dev0",
|
| 33 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 34 |
"dirty": false
|
| 35 |
},
|
| 36 |
"kernel": {
|
| 37 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 38 |
"dirty": false
|
| 39 |
}
|
| 40 |
}
|
build/torch213-cxx11-cu126-x86_64-linux/metadata.json.sigstore
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
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build/torch213-cxx11-cu130-x86_64-linux/_deformable_detr_cuda_8a730d9.abi3.so
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build/torch213-cxx11-cu130-x86_64-linux/_deformable_detr_cuda_addf474.abi3.so
ADDED
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build/torch213-cxx11-cu130-x86_64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
import torch
|
| 2 |
-
from . import
|
| 3 |
-
ops = torch.ops.
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
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| 6 |
"""
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| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _deformable_detr_cuda_addf474
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| 3 |
+
ops = torch.ops._deformable_detr_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_deformable_detr_cuda_addf474::{op_name}"
|
build/torch213-cxx11-cu130-x86_64-linux/deformable_detr/__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")))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
build/torch213-cxx11-cu130-x86_64-linux/metadata.json
CHANGED
|
@@ -1,13 +1,15 @@
|
|
| 1 |
{
|
| 2 |
"name": "deformable-detr",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
|
|
| 7 |
"backend": {
|
| 8 |
"type": "cuda",
|
| 9 |
"archs": [
|
| 10 |
"10.0",
|
|
|
|
| 11 |
"11.0",
|
| 12 |
"12.0",
|
| 13 |
"12.1+PTX",
|
|
@@ -23,20 +25,19 @@
|
|
| 23 |
"algorithm": "sha256",
|
| 24 |
"files": {
|
| 25 |
"__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=",
|
| 26 |
-
"
|
| 27 |
-
"_ops.py": "
|
| 28 |
-
"deformable_detr/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 29 |
"layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A="
|
| 30 |
}
|
| 31 |
},
|
| 32 |
"provenance": {
|
| 33 |
"kernel-builder": {
|
| 34 |
"version": "0.17.0-dev0",
|
| 35 |
-
"
|
| 36 |
"dirty": false
|
| 37 |
},
|
| 38 |
"kernel": {
|
| 39 |
-
"
|
| 40 |
"dirty": false
|
| 41 |
}
|
| 42 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "deformable-detr",
|
| 3 |
+
"id": "_deformable_detr_cuda_addf474",
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
"backend": {
|
| 9 |
"type": "cuda",
|
| 10 |
"archs": [
|
| 11 |
"10.0",
|
| 12 |
+
"10.3",
|
| 13 |
"11.0",
|
| 14 |
"12.0",
|
| 15 |
"12.1+PTX",
|
|
|
|
| 25 |
"algorithm": "sha256",
|
| 26 |
"files": {
|
| 27 |
"__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=",
|
| 28 |
+
"_deformable_detr_cuda_addf474.abi3.so": "Cv9r7vtu6yVqeuvFNiOXiHvR+dXZfj45S78P5flM+OM=",
|
| 29 |
+
"_ops.py": "Wxwn1CgThQXav5ENC1hyImlMR2f2U993B16vA8N0Vdw=",
|
|
|
|
| 30 |
"layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A="
|
| 31 |
}
|
| 32 |
},
|
| 33 |
"provenance": {
|
| 34 |
"kernel-builder": {
|
| 35 |
"version": "0.17.0-dev0",
|
| 36 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 37 |
"dirty": false
|
| 38 |
},
|
| 39 |
"kernel": {
|
| 40 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 41 |
"dirty": false
|
| 42 |
}
|
| 43 |
}
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build/torch213-cxx11-cu130-x86_64-linux/metadata.json.sigstore
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build/torch213-cxx11-cu132-x86_64-linux/_deformable_detr_cuda_8a730d9.abi3.so
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build/torch213-cxx11-cu132-x86_64-linux/_deformable_detr_cuda_addf474.abi3.so
ADDED
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version https://git-lfs.github.com/spec/v1
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build/torch213-cxx11-cu132-x86_64-linux/_ops.py
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
import torch
|
| 2 |
-
from . import
|
| 3 |
-
ops = torch.ops.
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
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| 6 |
"""
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| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
-
return f"
|
|
|
|
| 1 |
import torch
|
| 2 |
+
from . import _deformable_detr_cuda_addf474
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| 3 |
+
ops = torch.ops._deformable_detr_cuda_addf474
|
| 4 |
|
| 5 |
def add_op_namespace_prefix(op_name: str):
|
| 6 |
"""
|
| 7 |
Prefix op by namespace.
|
| 8 |
"""
|
| 9 |
+
return f"_deformable_detr_cuda_addf474::{op_name}"
|
build/torch213-cxx11-cu132-x86_64-linux/deformable_detr/__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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|
|
|
build/torch213-cxx11-cu132-x86_64-linux/metadata.json
CHANGED
|
@@ -1,13 +1,15 @@
|
|
| 1 |
{
|
| 2 |
"name": "deformable-detr",
|
| 3 |
-
"id": "
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
|
|
|
| 7 |
"backend": {
|
| 8 |
"type": "cuda",
|
| 9 |
"archs": [
|
| 10 |
"10.0",
|
|
|
|
| 11 |
"11.0",
|
| 12 |
"12.0",
|
| 13 |
"12.1+PTX",
|
|
@@ -23,20 +25,19 @@
|
|
| 23 |
"algorithm": "sha256",
|
| 24 |
"files": {
|
| 25 |
"__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=",
|
| 26 |
-
"
|
| 27 |
-
"_ops.py": "
|
| 28 |
-
"deformable_detr/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
|
| 29 |
"layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A="
|
| 30 |
}
|
| 31 |
},
|
| 32 |
"provenance": {
|
| 33 |
"kernel-builder": {
|
| 34 |
"version": "0.17.0-dev0",
|
| 35 |
-
"
|
| 36 |
"dirty": false
|
| 37 |
},
|
| 38 |
"kernel": {
|
| 39 |
-
"
|
| 40 |
"dirty": false
|
| 41 |
}
|
| 42 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"name": "deformable-detr",
|
| 3 |
+
"id": "_deformable_detr_cuda_addf474",
|
| 4 |
"version": 1,
|
| 5 |
"license": "Apache-2.0",
|
| 6 |
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
"backend": {
|
| 9 |
"type": "cuda",
|
| 10 |
"archs": [
|
| 11 |
"10.0",
|
| 12 |
+
"10.3",
|
| 13 |
"11.0",
|
| 14 |
"12.0",
|
| 15 |
"12.1+PTX",
|
|
|
|
| 25 |
"algorithm": "sha256",
|
| 26 |
"files": {
|
| 27 |
"__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=",
|
| 28 |
+
"_deformable_detr_cuda_addf474.abi3.so": "bfsLbioprY5MBK103dKkRFOTOVvqI87LAeMiSJcqfP8=",
|
| 29 |
+
"_ops.py": "Wxwn1CgThQXav5ENC1hyImlMR2f2U993B16vA8N0Vdw=",
|
|
|
|
| 30 |
"layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A="
|
| 31 |
}
|
| 32 |
},
|
| 33 |
"provenance": {
|
| 34 |
"kernel-builder": {
|
| 35 |
"version": "0.17.0-dev0",
|
| 36 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 37 |
"dirty": false
|
| 38 |
},
|
| 39 |
"kernel": {
|
| 40 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 41 |
"dirty": false
|
| 42 |
}
|
| 43 |
}
|
build/torch213-cxx11-cu132-x86_64-linux/metadata.json.sigstore
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"messageSignature":{"messageDigest":{"algorithm":"SHA2_256", "digest":"9E3R+qGBGCCsiww1WiaDvgDA0M+P50HcADLkIstIdr8="}, "signature":"MEUCIE5OEZtOfXPU+bZlcXPbTZ+ivRNpSpadgFyZKUIPDpQNAiEAxZ7LhcQzk3y333BkiYXRtVfPo7ggLwk5GKm/jUxfFJg="}}
|
build/torch214-cxx11-cu126-x86_64-linux/__init__.py
ADDED
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| 1 |
+
from typing import List
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| 2 |
+
import torch
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| 3 |
+
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| 4 |
+
from ._ops import ops
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| 5 |
+
from . import layers
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| 6 |
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| 7 |
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| 8 |
+
def ms_deform_attn_backward(
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| 9 |
+
value: torch.Tensor,
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| 10 |
+
spatial_shapes: torch.Tensor,
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| 11 |
+
level_start_index: torch.Tensor,
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| 12 |
+
sampling_loc: torch.Tensor,
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| 13 |
+
attn_weight: torch.Tensor,
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| 14 |
+
grad_output: torch.Tensor,
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| 15 |
+
im2col_step: int,
|
| 16 |
+
) -> List[torch.Tensor]:
|
| 17 |
+
return ops.ms_deform_attn_backward(
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| 18 |
+
value,
|
| 19 |
+
spatial_shapes,
|
| 20 |
+
level_start_index,
|
| 21 |
+
sampling_loc,
|
| 22 |
+
attn_weight,
|
| 23 |
+
grad_output,
|
| 24 |
+
im2col_step,
|
| 25 |
+
)
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
def ms_deform_attn_forward(
|
| 29 |
+
value: torch.Tensor,
|
| 30 |
+
spatial_shapes: torch.Tensor,
|
| 31 |
+
level_start_index: torch.Tensor,
|
| 32 |
+
sampling_loc: torch.Tensor,
|
| 33 |
+
attn_weight: torch.Tensor,
|
| 34 |
+
im2col_step: int,
|
| 35 |
+
) -> torch.Tensor:
|
| 36 |
+
return ops.ms_deform_attn_forward(
|
| 37 |
+
value,
|
| 38 |
+
spatial_shapes,
|
| 39 |
+
level_start_index,
|
| 40 |
+
sampling_loc,
|
| 41 |
+
attn_weight,
|
| 42 |
+
im2col_step,
|
| 43 |
+
)
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
__all__ = ["layers", "ms_deform_attn_forward", "ms_deform_attn_backward"]
|
build/torch214-cxx11-cu126-x86_64-linux/_deformable_detr_cuda_addf474.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:290ffbda3077a9bf104aca042835d9c9a9111adc3084df3a6301beccab543969
|
| 3 |
+
size 6658968
|
build/torch214-cxx11-cu126-x86_64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _deformable_detr_cuda_addf474
|
| 3 |
+
ops = torch.ops._deformable_detr_cuda_addf474
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_deformable_detr_cuda_addf474::{op_name}"
|
build/torch214-cxx11-cu126-x86_64-linux/layers.py
ADDED
|
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from typing import List, Union, Tuple
|
| 2 |
+
|
| 3 |
+
from torch import Tensor
|
| 4 |
+
from torch.autograd import Function
|
| 5 |
+
from torch.autograd.function import once_differentiable
|
| 6 |
+
import torch.nn as nn
|
| 7 |
+
|
| 8 |
+
from ._ops import ops
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
class MultiScaleDeformableAttentionFunction(Function):
|
| 12 |
+
@staticmethod
|
| 13 |
+
def forward(
|
| 14 |
+
context,
|
| 15 |
+
value: Tensor,
|
| 16 |
+
value_spatial_shapes: Tensor,
|
| 17 |
+
value_level_start_index: Tensor,
|
| 18 |
+
sampling_locations: Tensor,
|
| 19 |
+
attention_weights: Tensor,
|
| 20 |
+
im2col_step: int,
|
| 21 |
+
):
|
| 22 |
+
context.im2col_step = im2col_step
|
| 23 |
+
output = ops.ms_deform_attn_forward(
|
| 24 |
+
value,
|
| 25 |
+
value_spatial_shapes,
|
| 26 |
+
value_level_start_index,
|
| 27 |
+
sampling_locations,
|
| 28 |
+
attention_weights,
|
| 29 |
+
context.im2col_step,
|
| 30 |
+
)
|
| 31 |
+
context.save_for_backward(
|
| 32 |
+
value,
|
| 33 |
+
value_spatial_shapes,
|
| 34 |
+
value_level_start_index,
|
| 35 |
+
sampling_locations,
|
| 36 |
+
attention_weights,
|
| 37 |
+
)
|
| 38 |
+
return output
|
| 39 |
+
|
| 40 |
+
@staticmethod
|
| 41 |
+
@once_differentiable
|
| 42 |
+
def backward(context, grad_output):
|
| 43 |
+
(
|
| 44 |
+
value,
|
| 45 |
+
value_spatial_shapes,
|
| 46 |
+
value_level_start_index,
|
| 47 |
+
sampling_locations,
|
| 48 |
+
attention_weights,
|
| 49 |
+
) = context.saved_tensors
|
| 50 |
+
grad_value, grad_sampling_loc, grad_attn_weight = ops.ms_deform_attn_backward(
|
| 51 |
+
value,
|
| 52 |
+
value_spatial_shapes,
|
| 53 |
+
value_level_start_index,
|
| 54 |
+
sampling_locations,
|
| 55 |
+
attention_weights,
|
| 56 |
+
grad_output,
|
| 57 |
+
context.im2col_step,
|
| 58 |
+
)
|
| 59 |
+
|
| 60 |
+
return grad_value, None, None, grad_sampling_loc, grad_attn_weight, None
|
| 61 |
+
|
| 62 |
+
|
| 63 |
+
class MultiScaleDeformableAttention(nn.Module):
|
| 64 |
+
def forward(
|
| 65 |
+
self,
|
| 66 |
+
value: Tensor,
|
| 67 |
+
value_spatial_shapes: Tensor,
|
| 68 |
+
value_spatial_shapes_list: List[Tuple],
|
| 69 |
+
level_start_index: Tensor,
|
| 70 |
+
sampling_locations: Tensor,
|
| 71 |
+
attention_weights: Tensor,
|
| 72 |
+
im2col_step: int,
|
| 73 |
+
):
|
| 74 |
+
return MultiScaleDeformableAttentionFunction.apply(
|
| 75 |
+
value,
|
| 76 |
+
value_spatial_shapes,
|
| 77 |
+
level_start_index,
|
| 78 |
+
sampling_locations,
|
| 79 |
+
attention_weights,
|
| 80 |
+
im2col_step,
|
| 81 |
+
)
|
| 82 |
+
|
| 83 |
+
|
| 84 |
+
__all__ = ["MultiScaleDeformableAttention"]
|
build/torch214-cxx11-cu126-x86_64-linux/metadata.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "deformable-detr",
|
| 3 |
+
"id": "_deformable_detr_cuda_addf474",
|
| 4 |
+
"version": 1,
|
| 5 |
+
"license": "Apache-2.0",
|
| 6 |
+
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
+
"backend": {
|
| 9 |
+
"type": "cuda",
|
| 10 |
+
"archs": [
|
| 11 |
+
"7.0",
|
| 12 |
+
"7.2",
|
| 13 |
+
"7.5",
|
| 14 |
+
"8.0",
|
| 15 |
+
"8.6",
|
| 16 |
+
"8.7",
|
| 17 |
+
"8.9",
|
| 18 |
+
"9.0+PTX"
|
| 19 |
+
]
|
| 20 |
+
},
|
| 21 |
+
"digest": {
|
| 22 |
+
"algorithm": "sha256",
|
| 23 |
+
"files": {
|
| 24 |
+
"__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=",
|
| 25 |
+
"_deformable_detr_cuda_addf474.abi3.so": "KQ/72jB3qb8QSsoEKDXZyakRGtwwhN86YwG+zKtUOWk=",
|
| 26 |
+
"_ops.py": "Wxwn1CgThQXav5ENC1hyImlMR2f2U993B16vA8N0Vdw=",
|
| 27 |
+
"layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A="
|
| 28 |
+
}
|
| 29 |
+
},
|
| 30 |
+
"provenance": {
|
| 31 |
+
"kernel-builder": {
|
| 32 |
+
"version": "0.17.0-dev0",
|
| 33 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 34 |
+
"dirty": false
|
| 35 |
+
},
|
| 36 |
+
"kernel": {
|
| 37 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 38 |
+
"dirty": false
|
| 39 |
+
}
|
| 40 |
+
}
|
| 41 |
+
}
|
build/torch214-cxx11-cu126-x86_64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
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"timestampVerificationData":{"rfc3161Timestamps":[{"signedTimestamp":"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"}]}}, "messageSignature":{"messageDigest":{"algorithm":"SHA2_256", "digest":"xOlMkSdAyjJxwQKaOAOQCEJ5KZ4Tmt9Hsj0JQEwtrYg="}, "signature":"MEYCIQCH+sy3ZJFBBZraDtLX0atf3zmotRkk1FOQU427Gc0LsAIhANiTVjnq2spyjCd87qyAHgGh3sGMwWvSomj84189K7Fy"}}
|
build/torch214-cxx11-cu130-x86_64-linux/__init__.py
ADDED
|
@@ -0,0 +1,46 @@
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|
| 1 |
+
from typing import List
|
| 2 |
+
import torch
|
| 3 |
+
|
| 4 |
+
from ._ops import ops
|
| 5 |
+
from . import layers
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
def ms_deform_attn_backward(
|
| 9 |
+
value: torch.Tensor,
|
| 10 |
+
spatial_shapes: torch.Tensor,
|
| 11 |
+
level_start_index: torch.Tensor,
|
| 12 |
+
sampling_loc: torch.Tensor,
|
| 13 |
+
attn_weight: torch.Tensor,
|
| 14 |
+
grad_output: torch.Tensor,
|
| 15 |
+
im2col_step: int,
|
| 16 |
+
) -> List[torch.Tensor]:
|
| 17 |
+
return ops.ms_deform_attn_backward(
|
| 18 |
+
value,
|
| 19 |
+
spatial_shapes,
|
| 20 |
+
level_start_index,
|
| 21 |
+
sampling_loc,
|
| 22 |
+
attn_weight,
|
| 23 |
+
grad_output,
|
| 24 |
+
im2col_step,
|
| 25 |
+
)
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
def ms_deform_attn_forward(
|
| 29 |
+
value: torch.Tensor,
|
| 30 |
+
spatial_shapes: torch.Tensor,
|
| 31 |
+
level_start_index: torch.Tensor,
|
| 32 |
+
sampling_loc: torch.Tensor,
|
| 33 |
+
attn_weight: torch.Tensor,
|
| 34 |
+
im2col_step: int,
|
| 35 |
+
) -> torch.Tensor:
|
| 36 |
+
return ops.ms_deform_attn_forward(
|
| 37 |
+
value,
|
| 38 |
+
spatial_shapes,
|
| 39 |
+
level_start_index,
|
| 40 |
+
sampling_loc,
|
| 41 |
+
attn_weight,
|
| 42 |
+
im2col_step,
|
| 43 |
+
)
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
__all__ = ["layers", "ms_deform_attn_forward", "ms_deform_attn_backward"]
|
build/torch214-cxx11-cu130-x86_64-linux/_deformable_detr_cuda_addf474.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
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|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f96b7f5638aa2c67487d8800000096c3601660b8ea14cb645865ec1858adfba0
|
| 3 |
+
size 9842048
|
build/torch214-cxx11-cu130-x86_64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
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|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _deformable_detr_cuda_addf474
|
| 3 |
+
ops = torch.ops._deformable_detr_cuda_addf474
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_deformable_detr_cuda_addf474::{op_name}"
|
build/torch214-cxx11-cu130-x86_64-linux/layers.py
ADDED
|
@@ -0,0 +1,84 @@
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from typing import List, Union, Tuple
|
| 2 |
+
|
| 3 |
+
from torch import Tensor
|
| 4 |
+
from torch.autograd import Function
|
| 5 |
+
from torch.autograd.function import once_differentiable
|
| 6 |
+
import torch.nn as nn
|
| 7 |
+
|
| 8 |
+
from ._ops import ops
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
class MultiScaleDeformableAttentionFunction(Function):
|
| 12 |
+
@staticmethod
|
| 13 |
+
def forward(
|
| 14 |
+
context,
|
| 15 |
+
value: Tensor,
|
| 16 |
+
value_spatial_shapes: Tensor,
|
| 17 |
+
value_level_start_index: Tensor,
|
| 18 |
+
sampling_locations: Tensor,
|
| 19 |
+
attention_weights: Tensor,
|
| 20 |
+
im2col_step: int,
|
| 21 |
+
):
|
| 22 |
+
context.im2col_step = im2col_step
|
| 23 |
+
output = ops.ms_deform_attn_forward(
|
| 24 |
+
value,
|
| 25 |
+
value_spatial_shapes,
|
| 26 |
+
value_level_start_index,
|
| 27 |
+
sampling_locations,
|
| 28 |
+
attention_weights,
|
| 29 |
+
context.im2col_step,
|
| 30 |
+
)
|
| 31 |
+
context.save_for_backward(
|
| 32 |
+
value,
|
| 33 |
+
value_spatial_shapes,
|
| 34 |
+
value_level_start_index,
|
| 35 |
+
sampling_locations,
|
| 36 |
+
attention_weights,
|
| 37 |
+
)
|
| 38 |
+
return output
|
| 39 |
+
|
| 40 |
+
@staticmethod
|
| 41 |
+
@once_differentiable
|
| 42 |
+
def backward(context, grad_output):
|
| 43 |
+
(
|
| 44 |
+
value,
|
| 45 |
+
value_spatial_shapes,
|
| 46 |
+
value_level_start_index,
|
| 47 |
+
sampling_locations,
|
| 48 |
+
attention_weights,
|
| 49 |
+
) = context.saved_tensors
|
| 50 |
+
grad_value, grad_sampling_loc, grad_attn_weight = ops.ms_deform_attn_backward(
|
| 51 |
+
value,
|
| 52 |
+
value_spatial_shapes,
|
| 53 |
+
value_level_start_index,
|
| 54 |
+
sampling_locations,
|
| 55 |
+
attention_weights,
|
| 56 |
+
grad_output,
|
| 57 |
+
context.im2col_step,
|
| 58 |
+
)
|
| 59 |
+
|
| 60 |
+
return grad_value, None, None, grad_sampling_loc, grad_attn_weight, None
|
| 61 |
+
|
| 62 |
+
|
| 63 |
+
class MultiScaleDeformableAttention(nn.Module):
|
| 64 |
+
def forward(
|
| 65 |
+
self,
|
| 66 |
+
value: Tensor,
|
| 67 |
+
value_spatial_shapes: Tensor,
|
| 68 |
+
value_spatial_shapes_list: List[Tuple],
|
| 69 |
+
level_start_index: Tensor,
|
| 70 |
+
sampling_locations: Tensor,
|
| 71 |
+
attention_weights: Tensor,
|
| 72 |
+
im2col_step: int,
|
| 73 |
+
):
|
| 74 |
+
return MultiScaleDeformableAttentionFunction.apply(
|
| 75 |
+
value,
|
| 76 |
+
value_spatial_shapes,
|
| 77 |
+
level_start_index,
|
| 78 |
+
sampling_locations,
|
| 79 |
+
attention_weights,
|
| 80 |
+
im2col_step,
|
| 81 |
+
)
|
| 82 |
+
|
| 83 |
+
|
| 84 |
+
__all__ = ["MultiScaleDeformableAttention"]
|
build/torch214-cxx11-cu130-x86_64-linux/metadata.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "deformable-detr",
|
| 3 |
+
"id": "_deformable_detr_cuda_addf474",
|
| 4 |
+
"version": 1,
|
| 5 |
+
"license": "Apache-2.0",
|
| 6 |
+
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
+
"backend": {
|
| 9 |
+
"type": "cuda",
|
| 10 |
+
"archs": [
|
| 11 |
+
"10.0",
|
| 12 |
+
"10.3",
|
| 13 |
+
"11.0",
|
| 14 |
+
"12.0",
|
| 15 |
+
"12.1+PTX",
|
| 16 |
+
"7.5",
|
| 17 |
+
"8.0",
|
| 18 |
+
"8.6",
|
| 19 |
+
"8.7",
|
| 20 |
+
"8.9",
|
| 21 |
+
"9.0"
|
| 22 |
+
]
|
| 23 |
+
},
|
| 24 |
+
"digest": {
|
| 25 |
+
"algorithm": "sha256",
|
| 26 |
+
"files": {
|
| 27 |
+
"__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=",
|
| 28 |
+
"_deformable_detr_cuda_addf474.abi3.so": "+Wt/VjiqLGdIfYgAAACWw2AWYLjqFMtkWGXsGFit+6A=",
|
| 29 |
+
"_ops.py": "Wxwn1CgThQXav5ENC1hyImlMR2f2U993B16vA8N0Vdw=",
|
| 30 |
+
"layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A="
|
| 31 |
+
}
|
| 32 |
+
},
|
| 33 |
+
"provenance": {
|
| 34 |
+
"kernel-builder": {
|
| 35 |
+
"version": "0.17.0-dev0",
|
| 36 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 37 |
+
"dirty": false
|
| 38 |
+
},
|
| 39 |
+
"kernel": {
|
| 40 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 41 |
+
"dirty": false
|
| 42 |
+
}
|
| 43 |
+
}
|
| 44 |
+
}
|
build/torch214-cxx11-cu130-x86_64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
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"timestampVerificationData":{"rfc3161Timestamps":[{"signedTimestamp":"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"}]}}, 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|
build/torch214-cxx11-cu132-x86_64-linux/__init__.py
ADDED
|
@@ -0,0 +1,46 @@
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|
| 1 |
+
from typing import List
|
| 2 |
+
import torch
|
| 3 |
+
|
| 4 |
+
from ._ops import ops
|
| 5 |
+
from . import layers
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
def ms_deform_attn_backward(
|
| 9 |
+
value: torch.Tensor,
|
| 10 |
+
spatial_shapes: torch.Tensor,
|
| 11 |
+
level_start_index: torch.Tensor,
|
| 12 |
+
sampling_loc: torch.Tensor,
|
| 13 |
+
attn_weight: torch.Tensor,
|
| 14 |
+
grad_output: torch.Tensor,
|
| 15 |
+
im2col_step: int,
|
| 16 |
+
) -> List[torch.Tensor]:
|
| 17 |
+
return ops.ms_deform_attn_backward(
|
| 18 |
+
value,
|
| 19 |
+
spatial_shapes,
|
| 20 |
+
level_start_index,
|
| 21 |
+
sampling_loc,
|
| 22 |
+
attn_weight,
|
| 23 |
+
grad_output,
|
| 24 |
+
im2col_step,
|
| 25 |
+
)
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
def ms_deform_attn_forward(
|
| 29 |
+
value: torch.Tensor,
|
| 30 |
+
spatial_shapes: torch.Tensor,
|
| 31 |
+
level_start_index: torch.Tensor,
|
| 32 |
+
sampling_loc: torch.Tensor,
|
| 33 |
+
attn_weight: torch.Tensor,
|
| 34 |
+
im2col_step: int,
|
| 35 |
+
) -> torch.Tensor:
|
| 36 |
+
return ops.ms_deform_attn_forward(
|
| 37 |
+
value,
|
| 38 |
+
spatial_shapes,
|
| 39 |
+
level_start_index,
|
| 40 |
+
sampling_loc,
|
| 41 |
+
attn_weight,
|
| 42 |
+
im2col_step,
|
| 43 |
+
)
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
__all__ = ["layers", "ms_deform_attn_forward", "ms_deform_attn_backward"]
|
build/torch214-cxx11-cu132-x86_64-linux/_deformable_detr_cuda_addf474.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
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|
|
|
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:af27172f4f9f88193a70e28ea295b25c95eab8c453d34fe61954e188e293ac93
|
| 3 |
+
size 9979680
|
build/torch214-cxx11-cu132-x86_64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
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|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _deformable_detr_cuda_addf474
|
| 3 |
+
ops = torch.ops._deformable_detr_cuda_addf474
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_deformable_detr_cuda_addf474::{op_name}"
|
build/torch214-cxx11-cu132-x86_64-linux/layers.py
ADDED
|
@@ -0,0 +1,84 @@
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from typing import List, Union, Tuple
|
| 2 |
+
|
| 3 |
+
from torch import Tensor
|
| 4 |
+
from torch.autograd import Function
|
| 5 |
+
from torch.autograd.function import once_differentiable
|
| 6 |
+
import torch.nn as nn
|
| 7 |
+
|
| 8 |
+
from ._ops import ops
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
class MultiScaleDeformableAttentionFunction(Function):
|
| 12 |
+
@staticmethod
|
| 13 |
+
def forward(
|
| 14 |
+
context,
|
| 15 |
+
value: Tensor,
|
| 16 |
+
value_spatial_shapes: Tensor,
|
| 17 |
+
value_level_start_index: Tensor,
|
| 18 |
+
sampling_locations: Tensor,
|
| 19 |
+
attention_weights: Tensor,
|
| 20 |
+
im2col_step: int,
|
| 21 |
+
):
|
| 22 |
+
context.im2col_step = im2col_step
|
| 23 |
+
output = ops.ms_deform_attn_forward(
|
| 24 |
+
value,
|
| 25 |
+
value_spatial_shapes,
|
| 26 |
+
value_level_start_index,
|
| 27 |
+
sampling_locations,
|
| 28 |
+
attention_weights,
|
| 29 |
+
context.im2col_step,
|
| 30 |
+
)
|
| 31 |
+
context.save_for_backward(
|
| 32 |
+
value,
|
| 33 |
+
value_spatial_shapes,
|
| 34 |
+
value_level_start_index,
|
| 35 |
+
sampling_locations,
|
| 36 |
+
attention_weights,
|
| 37 |
+
)
|
| 38 |
+
return output
|
| 39 |
+
|
| 40 |
+
@staticmethod
|
| 41 |
+
@once_differentiable
|
| 42 |
+
def backward(context, grad_output):
|
| 43 |
+
(
|
| 44 |
+
value,
|
| 45 |
+
value_spatial_shapes,
|
| 46 |
+
value_level_start_index,
|
| 47 |
+
sampling_locations,
|
| 48 |
+
attention_weights,
|
| 49 |
+
) = context.saved_tensors
|
| 50 |
+
grad_value, grad_sampling_loc, grad_attn_weight = ops.ms_deform_attn_backward(
|
| 51 |
+
value,
|
| 52 |
+
value_spatial_shapes,
|
| 53 |
+
value_level_start_index,
|
| 54 |
+
sampling_locations,
|
| 55 |
+
attention_weights,
|
| 56 |
+
grad_output,
|
| 57 |
+
context.im2col_step,
|
| 58 |
+
)
|
| 59 |
+
|
| 60 |
+
return grad_value, None, None, grad_sampling_loc, grad_attn_weight, None
|
| 61 |
+
|
| 62 |
+
|
| 63 |
+
class MultiScaleDeformableAttention(nn.Module):
|
| 64 |
+
def forward(
|
| 65 |
+
self,
|
| 66 |
+
value: Tensor,
|
| 67 |
+
value_spatial_shapes: Tensor,
|
| 68 |
+
value_spatial_shapes_list: List[Tuple],
|
| 69 |
+
level_start_index: Tensor,
|
| 70 |
+
sampling_locations: Tensor,
|
| 71 |
+
attention_weights: Tensor,
|
| 72 |
+
im2col_step: int,
|
| 73 |
+
):
|
| 74 |
+
return MultiScaleDeformableAttentionFunction.apply(
|
| 75 |
+
value,
|
| 76 |
+
value_spatial_shapes,
|
| 77 |
+
level_start_index,
|
| 78 |
+
sampling_locations,
|
| 79 |
+
attention_weights,
|
| 80 |
+
im2col_step,
|
| 81 |
+
)
|
| 82 |
+
|
| 83 |
+
|
| 84 |
+
__all__ = ["MultiScaleDeformableAttention"]
|
build/torch214-cxx11-cu132-x86_64-linux/metadata.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "deformable-detr",
|
| 3 |
+
"id": "_deformable_detr_cuda_addf474",
|
| 4 |
+
"version": 1,
|
| 5 |
+
"license": "Apache-2.0",
|
| 6 |
+
"python-depends": [],
|
| 7 |
+
"kernel-depends": [],
|
| 8 |
+
"backend": {
|
| 9 |
+
"type": "cuda",
|
| 10 |
+
"archs": [
|
| 11 |
+
"10.0",
|
| 12 |
+
"10.3",
|
| 13 |
+
"11.0",
|
| 14 |
+
"12.0",
|
| 15 |
+
"12.1+PTX",
|
| 16 |
+
"7.5",
|
| 17 |
+
"8.0",
|
| 18 |
+
"8.6",
|
| 19 |
+
"8.7",
|
| 20 |
+
"8.9",
|
| 21 |
+
"9.0"
|
| 22 |
+
]
|
| 23 |
+
},
|
| 24 |
+
"digest": {
|
| 25 |
+
"algorithm": "sha256",
|
| 26 |
+
"files": {
|
| 27 |
+
"__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=",
|
| 28 |
+
"_deformable_detr_cuda_addf474.abi3.so": "rycXL0+fiBk6cOKOopWyXJXquMRT00/mGVThiOKTrJM=",
|
| 29 |
+
"_ops.py": "Wxwn1CgThQXav5ENC1hyImlMR2f2U993B16vA8N0Vdw=",
|
| 30 |
+
"layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A="
|
| 31 |
+
}
|
| 32 |
+
},
|
| 33 |
+
"provenance": {
|
| 34 |
+
"kernel-builder": {
|
| 35 |
+
"version": "0.17.0-dev0",
|
| 36 |
+
"commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
|
| 37 |
+
"dirty": false
|
| 38 |
+
},
|
| 39 |
+
"kernel": {
|
| 40 |
+
"commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
|
| 41 |
+
"dirty": false
|
| 42 |
+
}
|
| 43 |
+
}
|
| 44 |
+
}
|
build/torch214-cxx11-cu132-x86_64-linux/metadata.json.sigstore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
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