Fix merge conflict

Author: larryliu0820

backends/cuda/runtime/shims/memory.cpp

@@ -838,24 +838,6 @@ aoti_torch_assign_tensors_out(Tensor* src, Tensor** ret_dst) {
       "Memory address %p is not being tracked by reference counting system",
       data_ptr);
 
-  // Convert sizes and strides to vectors
-  std::vector<SizesType> sizes = convert_sizes_to_vector(ndim, sizes_ptr);
-  std::vector<StridesType> strides =
-      convert_strides_to_vector(ndim, sizes_ptr, strides_ptr);
-
-  // Create new tensor that shares the same memory as the original
-  // This is similar to PyTorch's Tensor copy constructor - creates a new
-  // tensor object that shares the same underlying storage
-  std::shared_ptr<Tensor> tensor = make_tensor(
-      sizes, // Same sizes as original
-      data_ptr, // Share the same memory from source tensor
-      {}, // dim_order (empty, will be auto-generated)
-      strides, // Same strides as original
-      dtype_to_scalar_type(dtype) // Same dtype as original
-  );
-
-  ET_CHECK_OR_RETURN_ERROR(
-      tensor != nullptr, InvalidArgument, "Failed to create new tensor handle");
   int32_t dtype = 0;
   ET_CHECK_OK_OR_RETURN_ERROR(aoti_torch_get_dtype(src, &dtype));