!25651 Add some fallback testcases

Merge pull request !25651 from Margaret_wangrui/fallback_tests

mindspore/ccsrc/pipeline/jit/parse/function_block.cc

@@ -219,7 +219,7 @@ AnfNodePtr FunctionBlock::HandleNamespaceInfo(const py::tuple &namespace_info) {
   if (unsupported) {
     resolved_node->set_interpret(true);
     AddGlobalPyParam(symbol->name(), py_obj);
-    MS_LOG(INFO) << "[" << func_graph()->ToString() << "] Added global python symblol: {" << symbol->name() << " : "
+    MS_LOG(INFO) << "[" << func_graph()->ToString() << "] Added global python symbol: {" << symbol->name() << " : "
                  << py::str(py_obj) << "}";
   }
   return resolved_node;
@@ -268,7 +268,7 @@ AnfNodePtr FunctionBlock::MakeResolveOperation(const std::string &value) {
 
 AnfNodePtr FunctionBlock::MakeResolve(const NameSpacePtr &name_space, const SymbolPtr &resolve_symbol) {
   MS_LOG(DEBUG) << "MakeResolve for " << (name_space ? (std::string)py::str(name_space->obj()) : "null namespace")
-                << " , " << (resolve_symbol ? (std::string)resolve_symbol->symbol() : "null resoleve symbol.");
+                << " , " << (resolve_symbol ? (std::string)resolve_symbol->symbol() : "null resolve symbol.");
   ValueNodePtr module_node = NewValueNode(name_space);
   ValueNodePtr symbol_node = NewValueNode(resolve_symbol);
   auto node = func_graph_->NewCNodeInOrder({NewValueNode(prim::kPrimResolve), module_node, symbol_node});
@@ -343,7 +343,7 @@ AnfNodePtr FunctionBlock::SearchReplaceNode(const std::string &var, const Parame
 //    If all arguments of a φ-function are the same value s or the φfunction itself,
 //    then we remove the φ-function and let all users directly uses. We call such a
 //    φ-function obviously unnecessary.
-//    When we removed a φ-function p, then we recursively try to apply this simplification
+//    When we removed a φ-function p, then we recursively try to apply this simplification
 //    rule with all (former) users of p, because they may have become obviously unnecessary
 //    due to the removal of p
 // <Quote>

tests/ut/python/fallback/test_graph_fallback.py

@@ -201,6 +201,7 @@ def np_fallback_func_tensor_index(x):
     return me_x[x]
 
 
+# NameError: name 'array_x' is not defined.
 @pytest.mark.skip(reason='Not support graph fallback feature yet')
 def test_np_fallback_func_tensor_index():
     """
@@ -232,6 +233,7 @@ class ControlNet(nn.Cell):
         return self.inner_function_2(a, b)
 
 
+# NameError: name 'mstype' is not defined.
 @pytest.mark.skip(reason='Not support graph fallback feature yet')
 def test_fallback_control_sink_tensor():
     """
@@ -244,3 +246,54 @@ def test_fallback_control_sink_tensor():
     output = net(x)
     output_expect = Tensor(9, mstype.int32)
     assert output == output_expect
+
+
+# NameError: name 'mytype' is not defined
+@pytest.mark.skip(reason='Not support graph fallback feature yet')
+def test_np_tensor_list():
+    """
+    Feature: Fallback feature
+    Description: support Basic method of Tensor list.
+    Expectation: No exception.
+    """
+    @ms_function
+    def np_tensor_list():
+        a = Tensor(np.array(4), mstype.int32)
+        b = Tensor(np.array(5), mstype.int32)
+        c = Tensor(np.array(6), mstype.int32)
+        tensor_list = [a, b]
+        for tensor in tensor_list:
+            print(tensor)
+        tensor_list.append(tensor_list[-1] + c)
+        return tensor_list
+
+    tensor_list = np_tensor_list()
+    print("tensor_list:", tensor_list)
+    assert len(tensor_list) == 3
+
+
+# EvalCNode: This may be not defined, or it can't be a operator.
+@pytest.mark.skip(reason='Not support graph fallback feature yet')
+def test_np_tensor_add():
+    """
+    Feature: Fallback feature
+    Description: support Tensor add.
+    Expectation: No exception.
+    """
+    @ms_function
+    def np_tensor_add():
+        a = Tensor(np.array(4))
+        b = Tensor(np.array(5))
+        tensor_list = [a, b]
+        for tensor in tensor_list:
+            print(tensor)
+        x = 6
+        np_x = np.array(x)
+        c = Tensor(np_x)
+        d = tensor_list[-1] + c
+        tensor_list.append(d)
+        return tensor_list
+
+    tensor_list = np_tensor_add()
+    print("tensor_list:", tensor_list)
+    assert tensor_list[-1] == 11