Update tensorrt

segmentation/ops_dcnv3/functions/dcnv3_func.py

@@ -60,6 +60,33 @@ class DCNv3Function(Function):
         return grad_input, grad_offset, grad_mask, \
             None, None, None, None, None, None, None, None, None, None, None, None
 
+    @staticmethod
+    def symbolic(g, input, offset, mask, kernel_h, kernel_w, stride_h,
+                 stride_w, pad_h, pad_w, dilation_h, dilation_w, group,
+                 group_channels, offset_scale, im2col_step):
+        """Symbolic function for mmdeploy::DCNv3.
+
+        Returns:
+            DCNv3 op for onnx.
+        """
+        return g.op(
+            'mmdeploy::TRTDCNv3',
+            input,
+            offset,
+            mask,
+            kernel_h_i=int(kernel_h),
+            kernel_w_i=int(kernel_w),
+            stride_h_i=int(stride_h),
+            stride_w_i=int(stride_w),
+            pad_h_i=int(pad_h),
+            pad_w_i=int(pad_w),
+            dilation_h_i=int(dilation_h),
+            dilation_w_i=int(dilation_w),
+            group_i=int(group),
+            group_channels_i=int(group_channels),
+            offset_scale_f=float(offset_scale),
+            im2col_step_i=int(im2col_step),
+        )
 
 def _get_reference_points(spatial_shapes, device, kernel_h, kernel_w, dilation_h, dilation_w, pad_h=0, pad_w=0, stride_h=1, stride_w=1):
     _, H_, W_, _ = spatial_shapes