diff --git a/build/torch210-cu126-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch210-cu126-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..7e501914607a41d8a5953729c6902d39edc22777 --- /dev/null +++ b/build/torch210-cu126-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d417f3df65662b267bd28ab89c7651a80ef5386d969cbe1bcfa34db995c2fd6e +size 6659368 diff --git a/build/torch210-cu126-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch210-cu126-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index 1bb0944bb967a95ca706059b8ec248e7f09d7e06..0000000000000000000000000000000000000000 --- a/build/torch210-cu126-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:3b7e6ba24db9c8ec54aebc4127605741df100b5a16f50ba11633e012bec4c4e7 -size 6659368 diff --git a/build/torch210-cu126-x86_64-linux/_ops.py b/build/torch210-cu126-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch210-cu126-x86_64-linux/_ops.py +++ b/build/torch210-cu126-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch210-cu126-x86_64-linux/metadata.json b/build/torch210-cu126-x86_64-linux/metadata.json index 90814f8b99d5a8ca4a29a0c6c12cd01df11b1336..9b841580b793712cb7fe3ed40cbf76cd473b0c07 100644 --- a/build/torch210-cu126-x86_64-linux/metadata.json +++ b/build/torch210-cu126-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -23,10 +23,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "O35rok25yOxUrrxBJ2BXQd8QC1oW9QuhFjPgEr7ExOc=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "1Bfz32VmKyZ70oq4nHZRqA71OG2WnL4bz6NNuZXC/W4=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -36,7 +36,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch210-cu126-x86_64-linux/metadata.json.sigstore b/build/torch210-cu126-x86_64-linux/metadata.json.sigstore index 2c0b571f0021b12ad11d2f563cb8b381204299b5..1dd32d08fa864a462e47aee0aa08b546a439428f 100644 --- a/build/torch210-cu126-x86_64-linux/metadata.json.sigstore +++ b/build/torch210-cu126-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": { diff --git a/build/torch210-cu128-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch210-cu128-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..459db1a99abcff5d131f0af15c5cf25ecb5ac1a2 --- /dev/null +++ b/build/torch210-cu128-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:94e3945245ff95d8c4bfea430fd6c412e1f96bffb855e0231c699c6294912d9b +size 9596064 diff --git a/build/torch210-cu128-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch210-cu128-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index 70e8fd42a45444bb763ffe198eaa2c5fe60c1374..0000000000000000000000000000000000000000 --- a/build/torch210-cu128-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:65a8dca1caf48832e5b4f458fbfb0bc67303a6dc12429589637332a8624c15b7 -size 9596064 diff --git a/build/torch210-cu128-x86_64-linux/_ops.py b/build/torch210-cu128-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch210-cu128-x86_64-linux/_ops.py +++ b/build/torch210-cu128-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch210-cu128-x86_64-linux/metadata.json b/build/torch210-cu128-x86_64-linux/metadata.json index fa3164d98cadc163adc97e06251194884eb2badc..2c24ade4c7a08502fa284bdf5fe211b81eb39881 100644 --- a/build/torch210-cu128-x86_64-linux/metadata.json +++ b/build/torch210-cu128-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -26,10 +26,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "Zajcocr0iDLltPRY+/sLxnMDptwSQpWJY3MyqGJMFbc=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "lOOUUkX/ldjEv+pDD9bEEuH5a/+4VeAjHGmcYpSRLZs=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -39,7 +39,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch210-cu128-x86_64-linux/metadata.json.sigstore b/build/torch210-cu128-x86_64-linux/metadata.json.sigstore index 314076d0eb3eef9b6d39d36a017c407170acedc9..a205a6d176f5227c72c7489c839f8d8f8b13371d 100644 --- a/build/torch210-cu128-x86_64-linux/metadata.json.sigstore +++ b/build/torch210-cu128-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": { diff --git a/build/torch210-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch210-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..10cd1586374df5f5ab33f9a230db75343820cda8 --- /dev/null +++ b/build/torch210-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9101c18d0f21a18e21ccee7054a849168312bd161e333decd84b9b10ad83a92c +size 9841840 diff --git a/build/torch210-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch210-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index cafb64a5682c2e36ad977b01b76e16edf372f261..0000000000000000000000000000000000000000 --- a/build/torch210-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:d621c55eff558a44f39f3970c13a9e65befd59ba7a6b432e96b30a0020e8393d -size 9841840 diff --git a/build/torch210-cu130-x86_64-linux/_ops.py b/build/torch210-cu130-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch210-cu130-x86_64-linux/_ops.py +++ b/build/torch210-cu130-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch210-cu130-x86_64-linux/metadata.json b/build/torch210-cu130-x86_64-linux/metadata.json index b7095bbe34668fcd3dd3d28296241d5d52d0f65d..7a5334ef7cd6fc083a0922ee191944aecfa2f72d 100644 --- a/build/torch210-cu130-x86_64-linux/metadata.json +++ b/build/torch210-cu130-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -26,10 +26,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "1iHFXv9VikTznzlwwTqeZb79Wbp6a0MulrMKACDoOT0=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "kQHBjQ8hoY4hzO5wVKhJFoMSvRYeMz3s2EubEK2DqSw=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -39,7 +39,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch210-cu130-x86_64-linux/metadata.json.sigstore b/build/torch210-cu130-x86_64-linux/metadata.json.sigstore index a57cee1a1e0dfd1983fd412a7df74547a79ab8bf..1f5d32efc2bd077c488377dfd227200e49223ebe 100644 --- a/build/torch210-cu130-x86_64-linux/metadata.json.sigstore +++ b/build/torch210-cu130-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": { diff --git a/build/torch211-cu126-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch211-cu126-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..105e763bb84695f2d76b2584711929bc51cfec41 --- /dev/null +++ b/build/torch211-cu126-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:846fcac4ca5959e6ca0f11d531bb8f09186312fd2b70206657ecafe69b0d231d +size 6659456 diff --git a/build/torch211-cu126-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch211-cu126-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index 640cb9eb220082125ebcb63b3c19f139f835b9ea..0000000000000000000000000000000000000000 --- a/build/torch211-cu126-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f1ac9cc0605505f403ae6ad93ec856b82c6b1fd3a691779446f3711327322bf5 -size 6659456 diff --git a/build/torch211-cu126-x86_64-linux/_ops.py b/build/torch211-cu126-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch211-cu126-x86_64-linux/_ops.py +++ b/build/torch211-cu126-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch211-cu126-x86_64-linux/metadata.json b/build/torch211-cu126-x86_64-linux/metadata.json index ddc904a77139dfdc812d8f39b0a0c18fadb52f24..7327572d57bff25a25442c4af041d74763378d88 100644 --- a/build/torch211-cu126-x86_64-linux/metadata.json +++ b/build/torch211-cu126-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -23,10 +23,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "8aycwGBVBfQDrmrZPshWuCxrH9OmkXeURvNxEycyK/U=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "hG/KxMpZWebKDxHVMbuPCRhjEv0rcCBmV+yv5psNIx0=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -36,7 +36,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch211-cu126-x86_64-linux/metadata.json.sigstore b/build/torch211-cu126-x86_64-linux/metadata.json.sigstore index 4552077d4802a541083d0369a7f4c3e229fbeb58..35672d4dcf7b8f242cf628ea4790b9329319b595 100644 --- a/build/torch211-cu126-x86_64-linux/metadata.json.sigstore +++ b/build/torch211-cu126-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": { diff --git a/build/torch211-cu128-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch211-cu128-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..b1dca4e1b16aedb78c9f5215d2daf01c9bf1324f --- /dev/null +++ b/build/torch211-cu128-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:170accf9895d2689fe43ee4385292380d41383a1e0f17cc8a74d7b1cd270b12d +size 9596152 diff --git a/build/torch211-cu128-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch211-cu128-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index 2df1b6d8b98a2b2b20046f287de3ce52ebf1aaeb..0000000000000000000000000000000000000000 --- a/build/torch211-cu128-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:416e2e1b0ec073bfe8984d61dc9fa721970192f82b1eaf965e612db78795cc80 -size 9596152 diff --git a/build/torch211-cu128-x86_64-linux/_ops.py b/build/torch211-cu128-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch211-cu128-x86_64-linux/_ops.py +++ b/build/torch211-cu128-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch211-cu128-x86_64-linux/metadata.json b/build/torch211-cu128-x86_64-linux/metadata.json index 3dc9b6c813ff414ca7b23756860cd009b8ee6bce..24b464822068c002d5ad042d9fae972a6577718d 100644 --- a/build/torch211-cu128-x86_64-linux/metadata.json +++ b/build/torch211-cu128-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -26,10 +26,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "QW4uGw7Ac7/omE1h3J+nIZcBkvgrHq+WXmEtt4eVzIA=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "FwrM+YldJon+Q+5DhSkjgNQTg6Hg8XzIp017HNJwsS0=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -39,7 +39,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch211-cu128-x86_64-linux/metadata.json.sigstore b/build/torch211-cu128-x86_64-linux/metadata.json.sigstore index 28a9a17648cc6e09b1e2e98731a3e1ad5d2def89..b2a1a3c42fb7a4ece5a4d26f5bcb8ac53e69771d 100644 --- a/build/torch211-cu128-x86_64-linux/metadata.json.sigstore +++ b/build/torch211-cu128-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": { diff --git a/build/torch211-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch211-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..2701855e0c0d713aeb347bb30fb0d7fdd6688ac9 --- /dev/null +++ b/build/torch211-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2337863dddeedad31a994c1e3163881985a624e4c603b29fbe64659f669ab5e5 +size 9841936 diff --git a/build/torch211-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch211-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index f33072fa44e6bb5bf7d95e355b5f13a7aa028f33..0000000000000000000000000000000000000000 --- a/build/torch211-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:808309ff009f69052d59a9c30f3252de1bd81cd92e1f31335d64d8de85126404 -size 9841936 diff --git a/build/torch211-cu130-x86_64-linux/_ops.py b/build/torch211-cu130-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch211-cu130-x86_64-linux/_ops.py +++ b/build/torch211-cu130-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch211-cu130-x86_64-linux/metadata.json b/build/torch211-cu130-x86_64-linux/metadata.json index 20084aa412f1ffc739e281664d3e610a09316fea..751c23592d7ec2839393e67e83b58055feef4acf 100644 --- a/build/torch211-cu130-x86_64-linux/metadata.json +++ b/build/torch211-cu130-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -26,10 +26,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "gIMJ/wCfaQUtWanDDzJS3hvYHNkuHzEzXWTY3oUSZAQ=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "IzeGPd3u2tMamUweMWOIGYWmJOTGA7KfvmRln2aateU=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -39,7 +39,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch211-cu130-x86_64-linux/metadata.json.sigstore b/build/torch211-cu130-x86_64-linux/metadata.json.sigstore index 3fc87b7d907cf74f7bc070b717fd38d9b5a11f80..be548c8d4510404f850962c2ab0d1f97de1deafb 100644 --- a/build/torch211-cu130-x86_64-linux/metadata.json.sigstore +++ b/build/torch211-cu130-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": { diff --git a/build/torch212-cu126-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch212-cu126-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..689fb6c0fd743a4e1afe435771c20074201f3d99 --- /dev/null +++ b/build/torch212-cu126-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:90992f9cc391f0f5b7636ead709a4a89411f32ccba10ebed796ad674b7319db5 +size 6659056 diff --git a/build/torch212-cu126-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch212-cu126-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index b38aae44a44f5965edbd7e0b78762752e1f4f582..0000000000000000000000000000000000000000 --- a/build/torch212-cu126-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5565bf72231152d4053a6d1d1401fef636622a91cb5df3836d1c6f9e1f9beac2 -size 6659056 diff --git a/build/torch212-cu126-x86_64-linux/_ops.py b/build/torch212-cu126-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch212-cu126-x86_64-linux/_ops.py +++ b/build/torch212-cu126-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch212-cu126-x86_64-linux/metadata.json b/build/torch212-cu126-x86_64-linux/metadata.json index 03f32fc235054eb2891192d9a1386bf69498c294..e9c283bc07faf9803fde9d4ed55f5ba59f3c6a80 100644 --- a/build/torch212-cu126-x86_64-linux/metadata.json +++ b/build/torch212-cu126-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -23,10 +23,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "VWW/ciMRUtQFOm0dFAH+9jZiKpHLXfODbRxvnh+b6sI=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "kJkvnMOR8PW3Y26tcJpKiUEfMsy6EOvteWrWdLcxnbU=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -36,7 +36,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch212-cu126-x86_64-linux/metadata.json.sigstore b/build/torch212-cu126-x86_64-linux/metadata.json.sigstore index a76da144146d50facdeeeb6b7c9d332a5d4d003c..6be74fc9fa498b94591024e8a0a1e4be9df66721 100644 --- a/build/torch212-cu126-x86_64-linux/metadata.json.sigstore +++ b/build/torch212-cu126-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": { diff --git a/build/torch212-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch212-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..6aadd6305de961089a8a8b177980a24539a276b6 --- /dev/null +++ b/build/torch212-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f002a5a549e78b5cf65bb10fe9089eb2e247df5d380c54a97cf206820ee648eb +size 9846232 diff --git a/build/torch212-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch212-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index 9520af188209c8dfb660b5232c10f74f944ccfcf..0000000000000000000000000000000000000000 --- a/build/torch212-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:20dcb45b2ed16f27cafd447e02d044048fc4d8f13f219bbf32c346eaa7040783 -size 9846232 diff --git a/build/torch212-cu130-x86_64-linux/_ops.py b/build/torch212-cu130-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch212-cu130-x86_64-linux/_ops.py +++ b/build/torch212-cu130-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch212-cu130-x86_64-linux/metadata.json b/build/torch212-cu130-x86_64-linux/metadata.json index 2cf3e8ff9107c747014bcfd02396368e980e79a7..3ca271ed06b170b5412714b6b9ed09d5a83cc66a 100644 --- a/build/torch212-cu130-x86_64-linux/metadata.json +++ b/build/torch212-cu130-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -26,10 +26,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "INy0Wy7RbyfK/UR+AtBEBI/E2PE/IZu/MsNG6qcEB4M=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "8AKlpUnni1z2W7EP6QiesuJH3104DFSpfPIGgg7mSOs=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -39,7 +39,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch212-cu130-x86_64-linux/metadata.json.sigstore b/build/torch212-cu130-x86_64-linux/metadata.json.sigstore index 69a67b4512cc94a2ee09bd12775b7be1f9cf1156..f6998c8919ed161fa040c385a123552579a538e6 100644 --- a/build/torch212-cu130-x86_64-linux/metadata.json.sigstore +++ b/build/torch212-cu130-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": { diff --git a/build/torch212-cu132-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch212-cu132-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..5ffc65a4c6a68566cd68bfca2134b891bc314a0c --- /dev/null +++ b/build/torch212-cu132-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1ce2dcfde8767ce5514ac246806ccfecea2c7395ad84cdafac00c61bc0358d34 +size 9979768 diff --git a/build/torch212-cu132-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch212-cu132-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index 947ca487b1a841830ffd6485ff4333064736d3c3..0000000000000000000000000000000000000000 --- a/build/torch212-cu132-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:07e4b83941e0a4f615617775fb02e4c72bed43cd619d427b2f932daab5a6802d -size 9979768 diff --git a/build/torch212-cu132-x86_64-linux/_ops.py b/build/torch212-cu132-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch212-cu132-x86_64-linux/_ops.py +++ b/build/torch212-cu132-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch212-cu132-x86_64-linux/metadata.json b/build/torch212-cu132-x86_64-linux/metadata.json index 5a6960641d67ef32dda71d574b1b471ebe3da82f..cbfca427fd23a1cfce687853e364e25df504742b 100644 --- a/build/torch212-cu132-x86_64-linux/metadata.json +++ b/build/torch212-cu132-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -26,10 +26,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "B+S4OUHgpPYVYXd1+wLkxyvtQ81hnUJ7L5MtqrWmgC0=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "HOLc/eh2fOVRSsJGgGzP7Oosc5WthM2vrADGG8A1jTQ=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -39,7 +39,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch212-cu132-x86_64-linux/metadata.json.sigstore b/build/torch212-cu132-x86_64-linux/metadata.json.sigstore index 4346c55982f9389bffa65100cfe4f4c41b1ef7b3..6bbd460e15d11a8a2bf51afab822be26f7438d39 100644 --- a/build/torch212-cu132-x86_64-linux/metadata.json.sigstore +++ b/build/torch212-cu132-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": { diff --git a/build/torch213-cu126-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch213-cu126-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..a1e7d2af1dca07d7c57459daf1c41f303f9abb08 --- /dev/null +++ b/build/torch213-cu126-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4c844974e2b3d58f69fa2528ea9a37abfc57883a08acf216a9bbf9c7ec43664c +size 6658968 diff --git a/build/torch213-cu126-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch213-cu126-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index 763890f7e169d73c0e6ba523cda9400baaa71c7f..0000000000000000000000000000000000000000 --- a/build/torch213-cu126-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f3abb425d5962a8aad6673983fec9299c24d1507f70cff7dc881f67f0f5da69d -size 6658968 diff --git a/build/torch213-cu126-x86_64-linux/_ops.py b/build/torch213-cu126-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch213-cu126-x86_64-linux/_ops.py +++ b/build/torch213-cu126-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch213-cu126-x86_64-linux/metadata.json b/build/torch213-cu126-x86_64-linux/metadata.json index 0157702797091652888c155d50a00e69d4f8ac70..53a1941db2c1fe714dd45209f6147c47dc9ecb96 100644 --- a/build/torch213-cu126-x86_64-linux/metadata.json +++ b/build/torch213-cu126-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -23,10 +23,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "86u0JdWWKoqtZnOYP+ySmcJNFQf3DP99yIH2fw9dpp0=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "TIRJdOKz1Y9p+iUo6po3q/xXiDoIrPIWqbv5x+xDZkw=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -36,7 +36,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch213-cu126-x86_64-linux/metadata.json.sigstore b/build/torch213-cu126-x86_64-linux/metadata.json.sigstore index a8f02f4b5178d658f171dd6ddca743129567a276..3972177db868abb71b8e1f5f3985299518e7f71e 100644 --- a/build/torch213-cu126-x86_64-linux/metadata.json.sigstore +++ b/build/torch213-cu126-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": { diff --git a/build/torch213-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch213-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..86113e1e8217e63ae920749b34044962397904f7 --- /dev/null +++ b/build/torch213-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:07aaf74dcad459c861b4f5df6601d5f017ba154babdccadfbbd49671ad9ae36a +size 9842048 diff --git a/build/torch213-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch213-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index c2f72a1435b19a7aed214d88ddf78acfe2b6c0ef..0000000000000000000000000000000000000000 --- a/build/torch213-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:c4ca1735b87596bc192bf8dfaf84d24e15899178ed8a38228faa60a407dbb46a -size 9842048 diff --git a/build/torch213-cu130-x86_64-linux/_ops.py b/build/torch213-cu130-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch213-cu130-x86_64-linux/_ops.py +++ b/build/torch213-cu130-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch213-cu130-x86_64-linux/metadata.json b/build/torch213-cu130-x86_64-linux/metadata.json index 612d6056b29c39d1b2d415ba1b9f394e27c2317c..9c03b97e0ae38eff7730c4195a060126ce8da722 100644 --- a/build/torch213-cu130-x86_64-linux/metadata.json +++ b/build/torch213-cu130-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -26,10 +26,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "xMoXNbh1lrwZK/jfr4TSThWJkXjtijgij6pgpAfbtGo=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "B6r3TcrUWchhtPXfZgHV8Be6FUur3Mrfu9SWca2a42o=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -39,7 +39,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch213-cu130-x86_64-linux/metadata.json.sigstore b/build/torch213-cu130-x86_64-linux/metadata.json.sigstore index 562c86b6fa10cf5323fcddded19c31430b8ec3fc..4d59efa9c069a88391c55cdce61f300e405469f1 100644 --- a/build/torch213-cu130-x86_64-linux/metadata.json.sigstore +++ b/build/torch213-cu130-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": { diff --git a/build/torch213-cu132-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch213-cu132-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..3b4f5a3af97ef7827d0744fff3ccac69d38a61f1 --- /dev/null +++ b/build/torch213-cu132-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:af8723606911b6df861bc3a5669a6beb5419df3567331aca0a62b59fa41741e6 +size 9979680 diff --git a/build/torch213-cu132-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch213-cu132-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index e8f43b54831c6fd2adf4a2ff2185eff377aa0e6f..0000000000000000000000000000000000000000 --- a/build/torch213-cu132-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:c1a186f0e2aa1d89aa91bfaa677f743845e51110f0518e91d7bb4adfdbad2d72 -size 9979680 diff --git a/build/torch213-cu132-x86_64-linux/_ops.py b/build/torch213-cu132-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch213-cu132-x86_64-linux/_ops.py +++ b/build/torch213-cu132-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch213-cu132-x86_64-linux/metadata.json b/build/torch213-cu132-x86_64-linux/metadata.json index 7689cf9045bdd7e06ed78195260b3f9613125bb2..117a8346c22a3d1367f7ce60b71f120fdcaeb4b5 100644 --- a/build/torch213-cu132-x86_64-linux/metadata.json +++ b/build/torch213-cu132-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -26,10 +26,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "waGG8OKqHYmqkb+qZ390OEXlERDwUY6R17tK39utLXI=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "r4cjYGkRtt+GG8OlZppr61QZ3zVnMxrKCmK1n6QXQeY=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -39,7 +39,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch213-cu132-x86_64-linux/metadata.json.sigstore b/build/torch213-cu132-x86_64-linux/metadata.json.sigstore index 9888cf8c847843b4d79f9d47dbd330a41f05886e..20088557a497e9e27dd4312ad524646c3267214b 100644 --- a/build/torch213-cu132-x86_64-linux/metadata.json.sigstore +++ b/build/torch213-cu132-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": { diff --git a/build/torch214-cu126-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch214-cu126-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..45c862993f1fa80dfbbebb8b82df08cb2c1b7d8b --- /dev/null +++ b/build/torch214-cu126-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:64065c6d3ae38f77641bcba13ada7f860b3b026d4014f2bfdb6a2da5dc973cde +size 6658968 diff --git a/build/torch214-cu126-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch214-cu126-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index 973f1f88bf11bf3741f256323b9596370d0ffd45..0000000000000000000000000000000000000000 --- a/build/torch214-cu126-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:fba7cedce1607c2f3c59c7b71c49985ccb9022c81b9bc407b4c18c365603c076 -size 6658968 diff --git a/build/torch214-cu126-x86_64-linux/_ops.py b/build/torch214-cu126-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch214-cu126-x86_64-linux/_ops.py +++ b/build/torch214-cu126-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch214-cu126-x86_64-linux/metadata.json b/build/torch214-cu126-x86_64-linux/metadata.json index c6765a6258946e4a95f9f4ae3aa55eda3cf1c4ae..37c9a625975d357a9372b952f9fd6b3f7017c9a4 100644 --- a/build/torch214-cu126-x86_64-linux/metadata.json +++ b/build/torch214-cu126-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -23,10 +23,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "+6fO3OFgfC88Wce3HEmYXMuQIsgbm8QHtMGMNlYDwHY=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "ZAZcbTrjj3dkG8uhOtp/hgs7Am1AFPK/22otpdyXPN4=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -36,7 +36,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch214-cu126-x86_64-linux/metadata.json.sigstore b/build/torch214-cu126-x86_64-linux/metadata.json.sigstore index cf7de98b681a39813d181e71841a4b49f0c62961..04c00801e662241994d2e4824d31a3450b69687b 100644 --- a/build/torch214-cu126-x86_64-linux/metadata.json.sigstore +++ b/build/torch214-cu126-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": { diff --git a/build/torch214-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch214-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..c0f3f4679f23e49dbb7cf25e1abedebba5ecd8b5 --- /dev/null +++ b/build/torch214-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ff7b5a107a8963e9f820bebb9c260395e8d520dd1f3b166dfef078244146f6cb +size 9842048 diff --git a/build/torch214-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch214-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index 10bdcc6bc0dda29daa465359db26dd229251141e..0000000000000000000000000000000000000000 --- a/build/torch214-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:7710a7bfe6e5c4a9eb09716161bc211491aac5ebc405a70f051c9ace01e41f12 -size 9842048 diff --git a/build/torch214-cu130-x86_64-linux/_ops.py b/build/torch214-cu130-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch214-cu130-x86_64-linux/_ops.py +++ b/build/torch214-cu130-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch214-cu130-x86_64-linux/metadata.json b/build/torch214-cu130-x86_64-linux/metadata.json index 8160abe485c9d085c8d5330730690dadbf71739b..6d1f626374a844b2aafbe6553df6d8f8cbdbc9f9 100644 --- a/build/torch214-cu130-x86_64-linux/metadata.json +++ b/build/torch214-cu130-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -26,10 +26,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "dxCnv+blxKnrCXFhYbwhFJGqxevEBacPBRyazgHkHxI=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "/3taEHqJY+n4IL67nCYDlejVIN0fOxZt/vB4JEFG9ss=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -39,7 +39,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch214-cu130-x86_64-linux/metadata.json.sigstore b/build/torch214-cu130-x86_64-linux/metadata.json.sigstore index 690195557a49223355bf4c79c0114dded20a99dc..ade710455279c4d4b430ab303ebc6f7d637ad0f3 100644 --- a/build/torch214-cu130-x86_64-linux/metadata.json.sigstore +++ b/build/torch214-cu130-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": { diff --git a/build/torch214-cu132-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch214-cu132-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..b7b486632caa3be344ef195860b94887d01d8c06 --- /dev/null +++ b/build/torch214-cu132-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:051e8051e94b547efd4ca1b4a76c833bb361f506b91807b660e871639dc972a0 +size 9979680 diff --git a/build/torch214-cu132-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch214-cu132-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index 6429f24557efa38e9ee75bf9de642610056d88d9..0000000000000000000000000000000000000000 --- a/build/torch214-cu132-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:c6f23e68c36cb42e75db1526071f0a32f57acd70a0cfe5bca38b05a0797a012e -size 9979680 diff --git a/build/torch214-cu132-x86_64-linux/_ops.py b/build/torch214-cu132-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch214-cu132-x86_64-linux/_ops.py +++ b/build/torch214-cu132-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch214-cu132-x86_64-linux/metadata.json b/build/torch214-cu132-x86_64-linux/metadata.json index 10960614d4a14bb7d95bcf263563d2fb6f08db80..a1ef2b36aaa7b2da66f85916c67bed1c167b8dea 100644 --- a/build/torch214-cu132-x86_64-linux/metadata.json +++ b/build/torch214-cu132-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -26,10 +26,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "xvI+aMNstC512xUmBx8KMvV6zXCgz+W8o4sFoHl6AS4=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "BR6AUelLVH79TKG0p2yDO7Nh9Qa5GAe2YOhxY53JcqA=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -39,7 +39,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch214-cu132-x86_64-linux/metadata.json.sigstore b/build/torch214-cu132-x86_64-linux/metadata.json.sigstore index c54ed9e282263cfb287bf595a6426df640d80b7a..34ef4f590ed198941a857e6fa2c1ee0fbc44ccdf 100644 --- a/build/torch214-cu132-x86_64-linux/metadata.json.sigstore +++ b/build/torch214-cu132-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": { diff --git a/build/torch215-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch215-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..a180cecd2b57291d5c57ddd971d9c4ec6d1d6ad7 --- /dev/null +++ b/build/torch215-cu130-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5467f593e1af8918c280c3b9a6cb1715ad00b5c202362320bbb34f259fa6f3d8 +size 9842048 diff --git a/build/torch215-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch215-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index 4794261aaf25d793ccca715adf0a7a527b329474..0000000000000000000000000000000000000000 --- a/build/torch215-cu130-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:fb99f2440beb714519ca091e63170196083e749a0621acd6c763cf1b5f45fbd1 -size 9842048 diff --git a/build/torch215-cu130-x86_64-linux/_ops.py b/build/torch215-cu130-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch215-cu130-x86_64-linux/_ops.py +++ b/build/torch215-cu130-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch215-cu130-x86_64-linux/metadata.json b/build/torch215-cu130-x86_64-linux/metadata.json index 3a1368b8ef01f79f8d68e7e0f82b5170750efea9..1d371ad5c2980fb6b229d7ff3e9f487906c082cb 100644 --- a/build/torch215-cu130-x86_64-linux/metadata.json +++ b/build/torch215-cu130-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -26,10 +26,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "+5nyRAvrcUUZygkeYxcBlgg+dJoGIazWx2PPG19F+9E=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "VGf1k+GviRjCgMO5pssXFa0AtcICNiMgu7NPJZ+m89g=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -39,7 +39,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch215-cu130-x86_64-linux/metadata.json.sigstore b/build/torch215-cu130-x86_64-linux/metadata.json.sigstore index c936ec2f59bea348383337b27e7f243563f1cf57..6c0a64890f27e59247b08c790b91e975829d6e54 100644 --- a/build/torch215-cu130-x86_64-linux/metadata.json.sigstore +++ b/build/torch215-cu130-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": { diff --git a/build/torch215-cu132-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch215-cu132-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..093031e2ed3d44ae6bc4fafbfae6f75f24e38cec --- /dev/null +++ b/build/torch215-cu132-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d83c84d245c2e9fde283aa0f9a5daec9125961dafa5eadcca6d2a21c038df070 +size 9979680 diff --git a/build/torch215-cu132-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch215-cu132-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index f54a588177e9a8a1bc5f1aea472aba5309a09264..0000000000000000000000000000000000000000 --- a/build/torch215-cu132-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:a7f1d3d4ef470c85daa2d3436c764df6485ffed2e1a6a7a4114b90a707baec99 -size 9979680 diff --git a/build/torch215-cu132-x86_64-linux/_ops.py b/build/torch215-cu132-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch215-cu132-x86_64-linux/_ops.py +++ b/build/torch215-cu132-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch215-cu132-x86_64-linux/metadata.json b/build/torch215-cu132-x86_64-linux/metadata.json index d4a2cecb4920cd18b50b988c649225239bef66c3..cf9808ca853a39aa96b5a35357819ce66ed993c6 100644 --- a/build/torch215-cu132-x86_64-linux/metadata.json +++ b/build/torch215-cu132-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -26,10 +26,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "p/HT1O9HDIXaotNDbHZN9khf/tLhpqekEUuQpwe67Jk=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "2DyE0kXC6f3ig6oPml2uyRJZYdr6Xq3MptKiHAON8HA=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -39,7 +39,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch215-cu132-x86_64-linux/metadata.json.sigstore b/build/torch215-cu132-x86_64-linux/metadata.json.sigstore index 1ee8bc77fb854388372d6b87d742a02c9270da22..ae611df6367b40a00fb134b41aac8d0352e0b849 100644 --- a/build/torch215-cu132-x86_64-linux/metadata.json.sigstore +++ b/build/torch215-cu132-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": { diff --git a/build/torch215-cu134-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so b/build/torch215-cu134-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so new file mode 100644 index 0000000000000000000000000000000000000000..fe7a7a43769e7e85cb49603afbd6af93ca7ecdaa --- /dev/null +++ b/build/torch215-cu134-x86_64-linux/_deformable_detr_cuda_3a0c7d5.abi3.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3b2153b3bccb5a49bd8f06281a030366d4cb2d6852a733f1846ea0b25bbe7f27 +size 9802504 diff --git a/build/torch215-cu134-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so b/build/torch215-cu134-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so deleted file mode 100644 index 35d98d99eeb3c6351ffa5b98866237c5c6c48b9d..0000000000000000000000000000000000000000 --- a/build/torch215-cu134-x86_64-linux/_deformable_detr_cuda_fe2bb66.abi3.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:166da788a58bb3b8005fb29c277ecd0254d9e0fc03567bacfeda37b391354391 -size 9802504 diff --git a/build/torch215-cu134-x86_64-linux/_ops.py b/build/torch215-cu134-x86_64-linux/_ops.py index 9bda990e7655149330868c4b80cfb6e2e85d116d..f0e58b20f0b0a52e4c3dc62fe0e3a7d8dc75ce1e 100644 --- a/build/torch215-cu134-x86_64-linux/_ops.py +++ b/build/torch215-cu134-x86_64-linux/_ops.py @@ -1,9 +1,9 @@ import torch -from . import _deformable_detr_cuda_fe2bb66 -ops = torch.ops._deformable_detr_cuda_fe2bb66 +from . import _deformable_detr_cuda_3a0c7d5 +ops = torch.ops._deformable_detr_cuda_3a0c7d5 def add_op_namespace_prefix(op_name: str): """ Prefix op by namespace. """ - return f"_deformable_detr_cuda_fe2bb66::{op_name}" + return f"_deformable_detr_cuda_3a0c7d5::{op_name}" diff --git a/build/torch215-cu134-x86_64-linux/metadata.json b/build/torch215-cu134-x86_64-linux/metadata.json index 1040963346301ce8b88d6fc5b6931e19e8f3cf72..245e33a3ba297f9a4877210a371c9df1ef28c49a 100644 --- a/build/torch215-cu134-x86_64-linux/metadata.json +++ b/build/torch215-cu134-x86_64-linux/metadata.json @@ -1,6 +1,6 @@ { "name": "deformable-detr", - "id": "_deformable_detr_cuda_fe2bb66", + "id": "_deformable_detr_cuda_3a0c7d5", "version": 1, "kernels-minver": "0.14.0", "license": "Apache-2.0", @@ -26,10 +26,10 @@ "algorithm": "sha256", "files": { "__init__.py": "/P9rmKjjgzhOqU3peSjUIi0u9GaxAmMEcaQb5kNGG90=", - "_deformable_detr_cuda_fe2bb66.abi3.so": "Fm2niKWLs7gAX7KcJ37NAlTZ4PwDVnus/to3s5E1Q5E=", - "_ops.py": "i9uA2K4/sWeUF4FAwHQJ80J8tvwwaf5I4n6oN+q9VR4=", + "_deformable_detr_cuda_3a0c7d5.abi3.so": "OyFTs7zLWkm9jwYoGgMDZtTLLWhSpzPxhG6gslu+fyc=", + "_ops.py": "CsdLL24Bbrng0/7z+qe4OvvuDZV2VqNGOIXSUK3p1Iw=", "layers.py": "H3mypbDteagvzG5WTscmD05BfJhNbylbPJr0zb3k82A=", - "symbols.json": "SE1abIt8U28b3HcQzThCV+v19Ww2kNiQdWEjoQzsUpw=" + "symbols.json": "TueFgttMKnAvpKvJOH+nlAlsVBnN3A2J1wdYBplUM8Q=" } }, "provenance": { @@ -39,7 +39,7 @@ "dirty": false }, "kernel": { - "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed", + "commit": "3a0c7d58dfb69d05d44db43f8b413f068d631b85", "dirty": false } } diff --git a/build/torch215-cu134-x86_64-linux/metadata.json.sigstore b/build/torch215-cu134-x86_64-linux/metadata.json.sigstore index 47deb1590a5d7fabf8cdc455904d9b50c19b257d..8e94a51c67ea227ba90c6d8925af4bf9f8b406ca 100644 --- a/build/torch215-cu134-x86_64-linux/metadata.json.sigstore +++ b/build/torch215-cu134-x86_64-linux/metadata.json.sigstore @@ -1 +1 @@ -{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json", 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"ms_deform_attn_backward", - "module": "_deformable_detr_cuda_fe2bb66", + "module": "_deformable_detr_cuda_3a0c7d5", "kind": "function", "doc": null, "signature": { @@ -109,7 +109,7 @@ { "name": "MultiScaleDeformableAttention", "qualname": "MultiScaleDeformableAttention", - "module": "_deformable_detr_cuda_fe2bb66.layers", + "module": "_deformable_detr_cuda_3a0c7d5.layers", "kind": "class", "doc": "Base class for all neural network modules.\n\nYour models should also subclass this class.\n\nModules can also contain other Modules, allowing them to be nested in\na tree structure. You can assign the submodules as regular attributes::\n\n import torch.nn as nn\n import torch.nn.functional as F\n\n\n class Model(nn.Module):\n def __init__(self) -> None:\n super().__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.conv2 = nn.Conv2d(20, 20, 5)\n\n def forward(self, x):\n x = F.relu(self.conv1(x))\n return F.relu(self.conv2(x))\n\nSubmodules assigned in this way will be registered, and will also have their\nparameters converted when you call :meth:`to`, etc.\n\n.. note::\n As per the example above, an ``__init__()`` call to the parent class\n must be made before assignment on the child.\n\n:ivar training: Boolean represents whether this module is in training or\n evaluation mode.\n:vartype training: bool", "signature": {