[SYCLomatic] Fix pre-defined yaml rule for torch class torch::Tensor(which actually is at::Tensor) migration (#2747)

Adjust the test case to exactly follow the PyTorch define.

Signed-off-by: Jiang, Zhiwei <zhiwei.jiang@intel.com>

Author: zhiweij1

clang/test/dpct/pytorch/pytorch_inc/ATen/Tensor.h

@@ -1 +1,7 @@
 #pragma once
+namespace at {
+class Tensor {
+public:
+  bool is_cuda();
+};
+} // namespace at

clang/test/dpct/pytorch/pytorch_inc/torch/torch.h

@@ -1,6 +1,4 @@
+#include <ATen/Tensor.h>
 namespace torch {
-class Tensor {
-    public:
-        bool is_cuda();
-};
-}
+using namespace at;
+} // namespace torch

clang/tools/dpct/extensions/pytorch_api_rules/pytorch_api.yaml

@@ -155,7 +155,7 @@
 - Rule: rule_torch_Tensor
   Kind: Class
   Priority: Takeover
-  In: torch::Tensor
+  In: at::Tensor # The underlying type of torch::Tensor is at::Tensor
   Out: torch::Tensor
   Methods:
     - In: is_cuda