Add missing mmcv.ops stubs: RoIPool, DeformConv2d, etc.

The shim was missing RoIPool (needed by mmdet.apis.inference)
and other ops imported at module load time. Add stubs for all
ops referenced by mmdet to prevent ImportError at startup.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

setup_mmcv_shim.py

@@ -67,6 +67,45 @@ class RoIAlign(torch.nn.Module):
         self.aligned = aligned
     def forward(self, input, rois):
         return roi_align(input, rois, self.output_size, self.spatial_scale, self.sampling_ratio, aligned=self.aligned)
+
+class RoIPool(torch.nn.Module):
+    def __init__(self, output_size, spatial_scale=1.0):
+        super().__init__()
+        self.output_size = output_size
+        self.spatial_scale = spatial_scale
+    def forward(self, input, rois):
+        return tv_ops.roi_pool(input, rois, self.output_size, self.spatial_scale)
+
+class DeformConv2d(torch.nn.Module):
+    def __init__(self, *args, **kwargs):
+        super().__init__()
+        raise NotImplementedError("DeformConv2d not available in CPU shim")
+
+class ModulatedDeformConv2d(torch.nn.Module):
+    def __init__(self, *args, **kwargs):
+        super().__init__()
+        raise NotImplementedError("ModulatedDeformConv2d not available in CPU shim")
+
+DeformConv2dPack = DeformConv2d
+ModulatedDeformConv2dPack = ModulatedDeformConv2d
+
+class MaskedConv2d(torch.nn.Conv2d):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+
+class CornerPool(torch.nn.Module):
+    def __init__(self, *args, **kwargs):
+        super().__init__()
+        raise NotImplementedError("CornerPool not available in CPU shim")
+
+def point_sample(*args, **kwargs):
+    raise NotImplementedError("point_sample not available in CPU shim")
+
+def rel_roi_point_to_rel_img_point(*args, **kwargs):
+    raise NotImplementedError("rel_roi_point_to_rel_img_point not available in CPU shim")
+
+def nms_match(*args, **kwargs):
+    raise NotImplementedError("nms_match not available in CPU shim")
 '''
 
 with open(os.path.join(ops_dir, '__init__.py'), 'w') as f:
@@ -81,6 +120,30 @@ with open(os.path.join(nms_dir, '__init__.py'), 'w') as f:
 # Create carafe stub
 carafe_path = os.path.join(ops_dir, 'carafe.py')
 with open(carafe_path, 'w') as f:
-    f.write('# carafe stub - not needed for CPU inference\n')
+    f.write('class CARAFEPack: pass\n')
+
+# Create roi_align submodule
+roi_align_dir = os.path.join(ops_dir, 'roi_align')
+os.makedirs(roi_align_dir, exist_ok=True)
+with open(os.path.join(roi_align_dir, '__init__.py'), 'w') as f:
+    f.write('from mmcv.ops import roi_align, RoIAlign\n')
+
+# Create modulated_deform_conv stub
+with open(os.path.join(ops_dir, 'modulated_deform_conv.py'), 'w') as f:
+    f.write('from mmcv.ops import ModulatedDeformConv2d, ModulatedDeformConv2dPack\n')
+
+# Create merge_cells stub
+with open(os.path.join(ops_dir, 'merge_cells.py'), 'w') as f:
+    f.write('''class GlobalPoolingCell:
+    def __init__(self, *args, **kwargs): raise NotImplementedError
+class SumCell:
+    def __init__(self, *args, **kwargs): raise NotImplementedError
+class ConcatCell:
+    def __init__(self, *args, **kwargs): raise NotImplementedError
+''')
+
+# Create multi_scale_deform_attn stub
+with open(os.path.join(ops_dir, 'multi_scale_deform_attn.py'), 'w') as f:
+    f.write('class MultiScaleDeformableAttention: pass\n')
 
 print('mmcv.ops shim created successfully')