pr-include-rev-in-flake

README.md

@@ -4,6 +4,3 @@ tags:
   - kernel
 ---
 
-![Status](https://hubwebhook.dholtz.com/shield?repo=kernels-community/deformable-detr)
-
-## deformable-detr

build.toml

@@ -1,20 +1,19 @@
 [general]
 name = "deformable_detr"
-universal = false
 
 [torch]
 src = [
-    "torch-ext/torch_binding.cpp",
-    "torch-ext/torch_binding.h",
+  "torch-ext/torch_binding.cpp",
+  "torch-ext/torch_binding.h"
 ]
 
 [kernel.activation]
-backend = "cuda"
-depends = ["torch"]
-include = ["."]
+cuda-capabilities = [ "7.0", "7.2", "7.5", "8.0", "8.6", "8.7", "8.9", "9.0" ]
 src = [
-    "deformable_detr/ms_deform_attn_cuda.cu",
-    "deformable_detr/ms_deform_im2col_cuda.cuh",
-    "deformable_detr/ms_deform_attn_cuda.cuh",
-    "deformable_detr/ms_deform_attn_cuda.h",
+  "deformable_detr/ms_deform_attn_cuda.cu",
+  "deformable_detr/ms_deform_im2col_cuda.cuh",
+  "deformable_detr/ms_deform_attn_cuda.cuh",
+  "deformable_detr/ms_deform_attn_cuda.h",
 ]
+include = ["."]
+depends = [ "torch" ]

build/torch25-cxx11-cu118-x86_64-linux/deformable_detr/{_deformable_detr_7c33cbe.abi3.so → _deformable_detr_cxy6p3o2latjs.abi3.so}

@@ -1,3 +1,3 @@
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-oid sha256:ae00c12295a458e2534149aea16da0289541447123c19fae59baaf6d6d2752f1
-size 6693656
+oid sha256:1cf71a0243675c22ba3207a6f895a907b0699f964575088e054220cea5e2fb2e
+size 5870376

build/torch25-cxx11-cu118-x86_64-linux/deformable_detr/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _deformable_detr_7c33cbe
-ops = torch.ops._deformable_detr_7c33cbe
+from . import _deformable_detr_cxy6p3o2latjs
+ops = torch.ops._deformable_detr_cxy6p3o2latjs
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_deformable_detr_7c33cbe::{op_name}"
+    return f"_deformable_detr_cxy6p3o2latjs::{op_name}"

build/torch25-cxx11-cu121-x86_64-linux/deformable_detr/{_deformable_detr_7c33cbe.abi3.so → _deformable_detr_esifsbuexbtbw.abi3.so}

@@ -1,3 +1,3 @@
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-oid sha256:4ab8cf59779b768359df0fa268b6cd52be2f518dd4fafdd61baec31c64f44813
-size 6679440
+oid sha256:79dce2e84e09fb2a5bf1b47441b226343494807687d8829f141682af9b78e361
+size 5856160

build/torch25-cxx11-cu121-x86_64-linux/deformable_detr/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _deformable_detr_7c33cbe
-ops = torch.ops._deformable_detr_7c33cbe
+from . import _deformable_detr_esifsbuexbtbw
+ops = torch.ops._deformable_detr_esifsbuexbtbw
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_deformable_detr_7c33cbe::{op_name}"
+    return f"_deformable_detr_esifsbuexbtbw::{op_name}"

build/torch25-cxx11-cu124-x86_64-linux/deformable_detr/{_deformable_detr_7c33cbe.abi3.so → _deformable_detr_cuzn3o54ku5iq.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5cdcd6902a03140074cff4cd44bf6b47dc27a32e13e0515a93929c66be186cab
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+size 5841688

build/torch25-cxx11-cu124-x86_64-linux/deformable_detr/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _deformable_detr_7c33cbe
-ops = torch.ops._deformable_detr_7c33cbe
+from . import _deformable_detr_cuzn3o54ku5iq
+ops = torch.ops._deformable_detr_cuzn3o54ku5iq
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_deformable_detr_7c33cbe::{op_name}"
+    return f"_deformable_detr_cuzn3o54ku5iq::{op_name}"

build/torch25-cxx98-cu118-x86_64-linux/deformable_detr/{_deformable_detr_7c33cbe.abi3.so → _deformable_detr_gom2c5vfrl2ic.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:82174ec2812ee672a447b94fb5ec907e348eb3d0be338daddf145a1d74969a6f
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+oid sha256:dbe4c67fc885df711581660f72d86dbd0a237c7f106308e55a484725c88e9927
+size 5863312

build/torch25-cxx98-cu118-x86_64-linux/deformable_detr/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _deformable_detr_7c33cbe
-ops = torch.ops._deformable_detr_7c33cbe
+from . import _deformable_detr_gom2c5vfrl2ic
+ops = torch.ops._deformable_detr_gom2c5vfrl2ic
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_deformable_detr_7c33cbe::{op_name}"
+    return f"_deformable_detr_gom2c5vfrl2ic::{op_name}"

build/torch25-cxx98-cu121-x86_64-linux/deformable_detr/_deformable_detr_7c33cbe.abi3.so

@@ -1,3 +0,0 @@
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build/torch25-cxx98-cu121-x86_64-linux/deformable_detr/_deformable_detr_a7sajsuqrick6.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 5853280

build/torch25-cxx98-cu121-x86_64-linux/deformable_detr/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _deformable_detr_7c33cbe
-ops = torch.ops._deformable_detr_7c33cbe
+from . import _deformable_detr_a7sajsuqrick6
+ops = torch.ops._deformable_detr_a7sajsuqrick6
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_deformable_detr_7c33cbe::{op_name}"
+    return f"_deformable_detr_a7sajsuqrick6::{op_name}"

build/torch25-cxx98-cu124-x86_64-linux/deformable_detr/_deformable_detr_7c33cbe.abi3.so

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build/torch25-cxx98-cu124-x86_64-linux/deformable_detr/_deformable_detr_tyogxwmtolvok.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7eef07a96ddf574e5b1e07476089a62659a70faa33c82fc79987c54fecb2711f
+size 5834712

build/torch25-cxx98-cu124-x86_64-linux/deformable_detr/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _deformable_detr_7c33cbe
-ops = torch.ops._deformable_detr_7c33cbe
+from . import _deformable_detr_tyogxwmtolvok
+ops = torch.ops._deformable_detr_tyogxwmtolvok
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_deformable_detr_7c33cbe::{op_name}"
+    return f"_deformable_detr_tyogxwmtolvok::{op_name}"

build/torch26-cxx11-cu118-x86_64-linux/deformable_detr/_deformable_detr_5kxpyt5yogkv2.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 5870352

build/torch26-cxx11-cu118-x86_64-linux/deformable_detr/_deformable_detr_7c33cbe.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
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-size 6693632

build/torch26-cxx11-cu118-x86_64-linux/deformable_detr/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _deformable_detr_7c33cbe
-ops = torch.ops._deformable_detr_7c33cbe
+from . import _deformable_detr_5kxpyt5yogkv2
+ops = torch.ops._deformable_detr_5kxpyt5yogkv2
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_deformable_detr_7c33cbe::{op_name}"
+    return f"_deformable_detr_5kxpyt5yogkv2::{op_name}"

build/torch26-cxx11-cu124-x86_64-linux/deformable_detr/_deformable_detr_7c33cbe.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1d7c09d3bedd89d7119e7023a07784724d3a3f79664b75fce37b778ef3bcfe52
-size 6648656

build/torch26-cxx11-cu124-x86_64-linux/deformable_detr/_deformable_detr_titoehueyfqjg.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:76b74d4bdbb1f562474b987fd23430d12b9f033183198f35a7dfd21fcc8ce4e1
+size 5837664

build/torch26-cxx11-cu124-x86_64-linux/deformable_detr/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _deformable_detr_7c33cbe
-ops = torch.ops._deformable_detr_7c33cbe
+from . import _deformable_detr_titoehueyfqjg
+ops = torch.ops._deformable_detr_titoehueyfqjg
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_deformable_detr_7c33cbe::{op_name}"
+    return f"_deformable_detr_titoehueyfqjg::{op_name}"

build/torch26-cxx11-cu126-aarch64-linux/deformable_detr/__init__.py

@@ -1,46 +0,0 @@
-from typing import List
-import torch
-
-from ._ops import ops
-from . import layers
-
-
-def ms_deform_attn_backward(
-    value: torch.Tensor,
-    spatial_shapes: torch.Tensor,
-    level_start_index: torch.Tensor,
-    sampling_loc: torch.Tensor,
-    attn_weight: torch.Tensor,
-    grad_output: torch.Tensor,
-    im2col_step: int,
-) -> List[torch.Tensor]:
-    return ops.ms_deform_attn_backward(
-        value,
-        spatial_shapes,
-        level_start_index,
-        sampling_loc,
-        attn_weight,
-        grad_output,
-        im2col_step,
-    )
-
-
-def ms_deform_attn_forward(
-    value: torch.Tensor,
-    spatial_shapes: torch.Tensor,
-    level_start_index: torch.Tensor,
-    sampling_loc: torch.Tensor,
-    attn_weight: torch.Tensor,
-    im2col_step: int,
-) -> torch.Tensor:
-    return ops.ms_deform_attn_forward(
-        value,
-        spatial_shapes,
-        level_start_index,
-        sampling_loc,
-        attn_weight,
-        im2col_step,
-    )
-
-
-__all__ = ["layers", "ms_deform_attn_forward", "ms_deform_attn_backward"]

build/torch26-cxx11-cu126-aarch64-linux/deformable_detr/_deformable_detr_7c33cbe.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6856b6efe5130f019f6cb7f964d7a2073f1ecc5cd7afc850334e64798f871dae
-size 6833224

build/torch26-cxx11-cu126-aarch64-linux/deformable_detr/_ops.py

@@ -1,9 +0,0 @@
-import torch
-from . import _deformable_detr_7c33cbe
-ops = torch.ops._deformable_detr_7c33cbe
-
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_deformable_detr_7c33cbe::{op_name}"

build/torch26-cxx11-cu126-aarch64-linux/deformable_detr/layers.py

@@ -1,84 +0,0 @@
-from typing import List, Union, Tuple
-
-from torch import Tensor
-from torch.autograd import Function
-from torch.autograd.function import once_differentiable
-import torch.nn as nn
-
-from ._ops import ops
-
-
-class MultiScaleDeformableAttentionFunction(Function):
-    @staticmethod
-    def forward(
-        context,
-        value: Tensor,
-        value_spatial_shapes: Tensor,
-        value_level_start_index: Tensor,
-        sampling_locations: Tensor,
-        attention_weights: Tensor,
-        im2col_step: int,
-    ):
-        context.im2col_step = im2col_step
-        output = ops.ms_deform_attn_forward(
-            value,
-            value_spatial_shapes,
-            value_level_start_index,
-            sampling_locations,
-            attention_weights,
-            context.im2col_step,
-        )
-        context.save_for_backward(
-            value,
-            value_spatial_shapes,
-            value_level_start_index,
-            sampling_locations,
-            attention_weights,
-        )
-        return output
-
-    @staticmethod
-    @once_differentiable
-    def backward(context, grad_output):
-        (
-            value,
-            value_spatial_shapes,
-            value_level_start_index,
-            sampling_locations,
-            attention_weights,
-        ) = context.saved_tensors
-        grad_value, grad_sampling_loc, grad_attn_weight = ops.ms_deform_attn_backward(
-            value,
-            value_spatial_shapes,
-            value_level_start_index,
-            sampling_locations,
-            attention_weights,
-            grad_output,
-            context.im2col_step,
-        )
-
-        return grad_value, None, None, grad_sampling_loc, grad_attn_weight, None
-
-
-class MultiScaleDeformableAttention(nn.Module):
-    def forward(
-        self,
-        value: Tensor,
-        value_spatial_shapes: Tensor,
-        value_spatial_shapes_list: List[Tuple],
-        level_start_index: Tensor,
-        sampling_locations: Tensor,
-        attention_weights: Tensor,
-        im2col_step: int,
-    ):
-        return MultiScaleDeformableAttentionFunction.apply(
-            value,
-            value_spatial_shapes,
-            level_start_index,
-            sampling_locations,
-            attention_weights,
-            im2col_step,
-        )
-
-
-__all__ = ["MultiScaleDeformableAttention"]

build/torch26-cxx11-cu126-x86_64-linux/deformable_detr/_deformable_detr_7c33cbe.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c76ad874b78882d3108a7fdaf49f8c00b6a6a7dceec63912118f8fa7d07e5f30
-size 6800656

build/torch26-cxx11-cu126-x86_64-linux/deformable_detr/_deformable_detr_imqt5tuqtmyt4.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1acd032c2f3bc530872e0839d8bec8950b01668c913539a2e14008a1e652560f
+size 5944608

build/torch26-cxx11-cu126-x86_64-linux/deformable_detr/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _deformable_detr_7c33cbe
-ops = torch.ops._deformable_detr_7c33cbe
+from . import _deformable_detr_imqt5tuqtmyt4
+ops = torch.ops._deformable_detr_imqt5tuqtmyt4
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_deformable_detr_7c33cbe::{op_name}"
+    return f"_deformable_detr_imqt5tuqtmyt4::{op_name}"

build/torch26-cxx98-cu118-x86_64-linux/deformable_detr/_deformable_detr_7c33cbe.abi3.so

@@ -1,3 +0,0 @@
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build/torch26-cxx98-cu118-x86_64-linux/deformable_detr/_deformable_detr_qbnaho3zp2d3o.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b9e5074a5afdb137688e20182cf4c9f7cbb1e8a69651c08a570076aeedc8c76b
+size 5863320

build/torch26-cxx98-cu118-x86_64-linux/deformable_detr/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _deformable_detr_7c33cbe
-ops = torch.ops._deformable_detr_7c33cbe
+from . import _deformable_detr_qbnaho3zp2d3o
+ops = torch.ops._deformable_detr_qbnaho3zp2d3o
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_deformable_detr_7c33cbe::{op_name}"
+    return f"_deformable_detr_qbnaho3zp2d3o::{op_name}"

build/torch26-cxx98-cu124-x86_64-linux/deformable_detr/_deformable_detr_5oxft6tr6jbvu.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd4d0f47c165b9ce95c0328cb7a52e331e4c698746ea8e4d43c7d09c193e34bd
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build/torch26-cxx98-cu124-x86_64-linux/deformable_detr/_deformable_detr_7c33cbe.abi3.so

@@ -1,3 +0,0 @@
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-oid sha256:d5a455975be5790964cc95c6813d293b1aba581f5c2dc132c9a08690bf6e5cad
-size 6649808

build/torch26-cxx98-cu124-x86_64-linux/deformable_detr/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _deformable_detr_7c33cbe
-ops = torch.ops._deformable_detr_7c33cbe
+from . import _deformable_detr_5oxft6tr6jbvu
+ops = torch.ops._deformable_detr_5oxft6tr6jbvu
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_deformable_detr_7c33cbe::{op_name}"
+    return f"_deformable_detr_5oxft6tr6jbvu::{op_name}"

build/torch26-cxx98-cu126-aarch64-linux/deformable_detr/__init__.py

@@ -1,46 +0,0 @@
-from typing import List
-import torch
-
-from ._ops import ops
-from . import layers
-
-
-def ms_deform_attn_backward(
-    value: torch.Tensor,
-    spatial_shapes: torch.Tensor,
-    level_start_index: torch.Tensor,
-    sampling_loc: torch.Tensor,
-    attn_weight: torch.Tensor,
-    grad_output: torch.Tensor,
-    im2col_step: int,
-) -> List[torch.Tensor]:
-    return ops.ms_deform_attn_backward(
-        value,
-        spatial_shapes,
-        level_start_index,
-        sampling_loc,
-        attn_weight,
-        grad_output,
-        im2col_step,
-    )
-
-
-def ms_deform_attn_forward(
-    value: torch.Tensor,
-    spatial_shapes: torch.Tensor,
-    level_start_index: torch.Tensor,
-    sampling_loc: torch.Tensor,
-    attn_weight: torch.Tensor,
-    im2col_step: int,
-) -> torch.Tensor:
-    return ops.ms_deform_attn_forward(
-        value,
-        spatial_shapes,
-        level_start_index,
-        sampling_loc,
-        attn_weight,
-        im2col_step,
-    )
-
-
-__all__ = ["layers", "ms_deform_attn_forward", "ms_deform_attn_backward"]

build/torch26-cxx98-cu126-aarch64-linux/deformable_detr/_deformable_detr_7c33cbe.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
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-size 6829872

build/torch26-cxx98-cu126-aarch64-linux/deformable_detr/_ops.py

@@ -1,9 +0,0 @@
-import torch
-from . import _deformable_detr_7c33cbe
-ops = torch.ops._deformable_detr_7c33cbe
-
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_deformable_detr_7c33cbe::{op_name}"

build/torch26-cxx98-cu126-aarch64-linux/deformable_detr/layers.py

@@ -1,84 +0,0 @@
-from typing import List, Union, Tuple
-
-from torch import Tensor
-from torch.autograd import Function
-from torch.autograd.function import once_differentiable
-import torch.nn as nn
-
-from ._ops import ops
-
-
-class MultiScaleDeformableAttentionFunction(Function):
-    @staticmethod
-    def forward(
-        context,
-        value: Tensor,
-        value_spatial_shapes: Tensor,
-        value_level_start_index: Tensor,
-        sampling_locations: Tensor,
-        attention_weights: Tensor,
-        im2col_step: int,
-    ):
-        context.im2col_step = im2col_step
-        output = ops.ms_deform_attn_forward(
-            value,
-            value_spatial_shapes,
-            value_level_start_index,
-            sampling_locations,
-            attention_weights,
-            context.im2col_step,
-        )
-        context.save_for_backward(
-            value,
-            value_spatial_shapes,
-            value_level_start_index,
-            sampling_locations,
-            attention_weights,
-        )
-        return output
-
-    @staticmethod
-    @once_differentiable
-    def backward(context, grad_output):
-        (
-            value,
-            value_spatial_shapes,
-            value_level_start_index,
-            sampling_locations,
-            attention_weights,
-        ) = context.saved_tensors
-        grad_value, grad_sampling_loc, grad_attn_weight = ops.ms_deform_attn_backward(
-            value,
-            value_spatial_shapes,
-            value_level_start_index,
-            sampling_locations,
-            attention_weights,
-            grad_output,
-            context.im2col_step,
-        )
-
-        return grad_value, None, None, grad_sampling_loc, grad_attn_weight, None
-
-
-class MultiScaleDeformableAttention(nn.Module):
-    def forward(
-        self,
-        value: Tensor,
-        value_spatial_shapes: Tensor,
-        value_spatial_shapes_list: List[Tuple],
-        level_start_index: Tensor,
-        sampling_locations: Tensor,
-        attention_weights: Tensor,
-        im2col_step: int,
-    ):
-        return MultiScaleDeformableAttentionFunction.apply(
-            value,
-            value_spatial_shapes,
-            level_start_index,
-            sampling_locations,
-            attention_weights,
-            im2col_step,
-        )
-
-
-__all__ = ["MultiScaleDeformableAttention"]

build/torch26-cxx98-cu126-x86_64-linux/deformable_detr/_deformable_detr_7c33cbe.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c6ad344319579f0abef7fe1a9d3f479f1c8737994f563a540815a1445020959e
-size 6797712

build/torch26-cxx98-cu126-x86_64-linux/deformable_detr/_deformable_detr_po264mz2i2ffg.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:129844ba533ee201cd3f2bb0e17a354ee8aa35176c10896454926485acdacdac
+size 5945760

build/torch26-cxx98-cu126-x86_64-linux/deformable_detr/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _deformable_detr_7c33cbe
-ops = torch.ops._deformable_detr_7c33cbe
+from . import _deformable_detr_po264mz2i2ffg
+ops = torch.ops._deformable_detr_po264mz2i2ffg
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_deformable_detr_7c33cbe::{op_name}"
+    return f"_deformable_detr_po264mz2i2ffg::{op_name}"

build/torch27-cxx11-cu118-x86_64-linux/deformable_detr/__init__.py

@@ -1,46 +0,0 @@
-from typing import List
-import torch
-
-from ._ops import ops
-from . import layers
-
-
-def ms_deform_attn_backward(
-    value: torch.Tensor,
-    spatial_shapes: torch.Tensor,
-    level_start_index: torch.Tensor,
-    sampling_loc: torch.Tensor,
-    attn_weight: torch.Tensor,
-    grad_output: torch.Tensor,
-    im2col_step: int,
-) -> List[torch.Tensor]:
-    return ops.ms_deform_attn_backward(
-        value,
-        spatial_shapes,
-        level_start_index,
-        sampling_loc,
-        attn_weight,
-        grad_output,
-        im2col_step,
-    )
-
-
-def ms_deform_attn_forward(
-    value: torch.Tensor,
-    spatial_shapes: torch.Tensor,
-    level_start_index: torch.Tensor,
-    sampling_loc: torch.Tensor,
-    attn_weight: torch.Tensor,
-    im2col_step: int,
-) -> torch.Tensor:
-    return ops.ms_deform_attn_forward(
-        value,
-        spatial_shapes,
-        level_start_index,
-        sampling_loc,
-        attn_weight,
-        im2col_step,
-    )
-
-
-__all__ = ["layers", "ms_deform_attn_forward", "ms_deform_attn_backward"]

build/torch27-cxx11-cu118-x86_64-linux/deformable_detr/_deformable_detr_7c33cbe.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:20ee462e214e11abd65b44259847f7dbf535b94a3003357251c53a72f4ac4392
-size 6693728

build/torch27-cxx11-cu118-x86_64-linux/deformable_detr/_ops.py

@@ -1,9 +0,0 @@
-import torch
-from . import _deformable_detr_7c33cbe
-ops = torch.ops._deformable_detr_7c33cbe
-
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_deformable_detr_7c33cbe::{op_name}"

build/torch27-cxx11-cu118-x86_64-linux/deformable_detr/layers.py

@@ -1,84 +0,0 @@
-from typing import List, Union, Tuple
-
-from torch import Tensor
-from torch.autograd import Function
-from torch.autograd.function import once_differentiable
-import torch.nn as nn
-
-from ._ops import ops
-
-
-class MultiScaleDeformableAttentionFunction(Function):
-    @staticmethod
-    def forward(
-        context,
-        value: Tensor,
-        value_spatial_shapes: Tensor,
-        value_level_start_index: Tensor,
-        sampling_locations: Tensor,
-        attention_weights: Tensor,
-        im2col_step: int,
-    ):
-        context.im2col_step = im2col_step
-        output = ops.ms_deform_attn_forward(
-            value,
-            value_spatial_shapes,
-            value_level_start_index,
-            sampling_locations,
-            attention_weights,
-            context.im2col_step,
-        )
-        context.save_for_backward(
-            value,
-            value_spatial_shapes,
-            value_level_start_index,
-            sampling_locations,
-            attention_weights,
-        )
-        return output
-
-    @staticmethod
-    @once_differentiable
-    def backward(context, grad_output):
-        (
-            value,
-            value_spatial_shapes,
-            value_level_start_index,
-            sampling_locations,
-            attention_weights,
-        ) = context.saved_tensors
-        grad_value, grad_sampling_loc, grad_attn_weight = ops.ms_deform_attn_backward(
-            value,
-            value_spatial_shapes,
-            value_level_start_index,
-            sampling_locations,
-            attention_weights,
-            grad_output,
-            context.im2col_step,
-        )
-
-        return grad_value, None, None, grad_sampling_loc, grad_attn_weight, None
-
-
-class MultiScaleDeformableAttention(nn.Module):
-    def forward(
-        self,
-        value: Tensor,
-        value_spatial_shapes: Tensor,
-        value_spatial_shapes_list: List[Tuple],
-        level_start_index: Tensor,
-        sampling_locations: Tensor,
-        attention_weights: Tensor,
-        im2col_step: int,
-    ):
-        return MultiScaleDeformableAttentionFunction.apply(
-            value,
-            value_spatial_shapes,
-            level_start_index,
-            sampling_locations,
-            attention_weights,
-            im2col_step,
-        )
-
-
-__all__ = ["MultiScaleDeformableAttention"]

build/torch27-cxx11-cu126-aarch64-linux/deformable_detr/__init__.py

@@ -1,46 +0,0 @@
-from typing import List
-import torch
-
-from ._ops import ops
-from . import layers
-
-
-def ms_deform_attn_backward(
-    value: torch.Tensor,
-    spatial_shapes: torch.Tensor,
-    level_start_index: torch.Tensor,
-    sampling_loc: torch.Tensor,
-    attn_weight: torch.Tensor,
-    grad_output: torch.Tensor,
-    im2col_step: int,
-) -> List[torch.Tensor]:
-    return ops.ms_deform_attn_backward(
-        value,
-        spatial_shapes,
-        level_start_index,
-        sampling_loc,
-        attn_weight,
-        grad_output,
-        im2col_step,
-    )
-
-
-def ms_deform_attn_forward(
-    value: torch.Tensor,
-    spatial_shapes: torch.Tensor,
-    level_start_index: torch.Tensor,
-    sampling_loc: torch.Tensor,
-    attn_weight: torch.Tensor,
-    im2col_step: int,
-) -> torch.Tensor:
-    return ops.ms_deform_attn_forward(
-        value,
-        spatial_shapes,
-        level_start_index,
-        sampling_loc,
-        attn_weight,
-        im2col_step,
-    )
-
-
-__all__ = ["layers", "ms_deform_attn_forward", "ms_deform_attn_backward"]

build/torch27-cxx11-cu126-aarch64-linux/deformable_detr/_deformable_detr_7c33cbe.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:af2831b68229a910e8703cae2c9e720ded825e401745d38923548c444e56c37b
-size 6833456

build/torch27-cxx11-cu126-aarch64-linux/deformable_detr/_ops.py

@@ -1,9 +0,0 @@
-import torch
-from . import _deformable_detr_7c33cbe
-ops = torch.ops._deformable_detr_7c33cbe
-
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_deformable_detr_7c33cbe::{op_name}"

build/torch27-cxx11-cu126-aarch64-linux/deformable_detr/layers.py

@@ -1,84 +0,0 @@
-from typing import List, Union, Tuple
-
-from torch import Tensor
-from torch.autograd import Function
-from torch.autograd.function import once_differentiable
-import torch.nn as nn
-
-from ._ops import ops
-
-
-class MultiScaleDeformableAttentionFunction(Function):
-    @staticmethod
-    def forward(
-        context,
-        value: Tensor,
-        value_spatial_shapes: Tensor,
-        value_level_start_index: Tensor,
-        sampling_locations: Tensor,
-        attention_weights: Tensor,
-        im2col_step: int,
-    ):
-        context.im2col_step = im2col_step
-        output = ops.ms_deform_attn_forward(
-            value,
-            value_spatial_shapes,
-            value_level_start_index,
-            sampling_locations,
-            attention_weights,
-            context.im2col_step,
-        )
-        context.save_for_backward(
-            value,
-            value_spatial_shapes,
-            value_level_start_index,
-            sampling_locations,
-            attention_weights,
-        )
-        return output
-
-    @staticmethod
-    @once_differentiable
-    def backward(context, grad_output):
-        (
-            value,
-            value_spatial_shapes,
-            value_level_start_index,
-            sampling_locations,
-            attention_weights,
-        ) = context.saved_tensors
-        grad_value, grad_sampling_loc, grad_attn_weight = ops.ms_deform_attn_backward(
-            value,
-            value_spatial_shapes,
-            value_level_start_index,
-            sampling_locations,
-            attention_weights,
-            grad_output,
-            context.im2col_step,
-        )
-
-        return grad_value, None, None, grad_sampling_loc, grad_attn_weight, None
-
-
-class MultiScaleDeformableAttention(nn.Module):
-    def forward(
-        self,
-        value: Tensor,
-        value_spatial_shapes: Tensor,
-        value_spatial_shapes_list: List[Tuple],
-        level_start_index: Tensor,
-        sampling_locations: Tensor,
-        attention_weights: Tensor,
-        im2col_step: int,
-    ):
-        return MultiScaleDeformableAttentionFunction.apply(
-            value,
-            value_spatial_shapes,
-            level_start_index,
-            sampling_locations,
-            attention_weights,
-            im2col_step,
-        )
-
-
-__all__ = ["MultiScaleDeformableAttention"]