refactor(cuda): revert verbose assertion comments

MaskClustering/third_party/detectron2/projects/CropFormer/mask2former/modeling/pixel_decoder/ops/src/cuda/ms_deform_attn_cuda.cu

@@ -36,7 +36,7 @@ at::Tensor ms_deform_attn_cuda_forward(
     AT_ASSERTM(sampling_loc.is_contiguous(), "sampling_loc tensor has to be contiguous");
     AT_ASSERTM(attn_weight.is_contiguous(), "attn_weight tensor has to be contiguous");
 
-    AT_ASSERTM(value.is_cuda()  // PyTorch 2.8 compat, "value must be a CUDA tensor");
+    AT_ASSERTM(value.is_cuda(), "value must be a CUDA tensor");
     AT_ASSERTM(spatial_shapes.is_cuda(), "spatial_shapes must be a CUDA tensor");
     AT_ASSERTM(level_start_index.is_cuda(), "level_start_index must be a CUDA tensor");
     AT_ASSERTM(sampling_loc.is_cuda(), "sampling_loc must be a CUDA tensor");
@@ -102,7 +102,7 @@ std::vector<at::Tensor> ms_deform_attn_cuda_backward(
     AT_ASSERTM(attn_weight.is_contiguous(), "attn_weight tensor has to be contiguous");
     AT_ASSERTM(grad_output.is_contiguous(), "grad_output tensor has to be contiguous");
 
-    AT_ASSERTM(value.is_cuda()  // PyTorch 2.8 compat, "value must be a CUDA tensor");
+    AT_ASSERTM(value.is_cuda(), "value must be a CUDA tensor");
     AT_ASSERTM(spatial_shapes.is_cuda(), "spatial_shapes must be a CUDA tensor");
     AT_ASSERTM(level_start_index.is_cuda(), "level_start_index must be a CUDA tensor");
     AT_ASSERTM(sampling_loc.is_cuda(), "sampling_loc must be a CUDA tensor");