mv level1 test to ut

tests/st/graph_syntax/operators/test_and_or.py

@@ -62,50 +62,6 @@ def test_and_int_tensor_2():
     assert ret == 0
 
 
-@pytest.mark.level1
-@pytest.mark.platform_x86_gpu_training
-@pytest.mark.platform_arm_ascend_training
-@pytest.mark.platform_x86_ascend_training
-@pytest.mark.env_onecard
-def test_and_multi_int_tensor():
-    """
-    Feature: graph and syntax
-    Description: Test and syntax in graph mode.
-    Expectation: No exception.
-    """
-    @jit
-    def foo():
-        x = Tensor([0, 1])
-        y = Tensor([1, 2])
-        print(x and y)
-        return x and y
-
-    with pytest.raises(ValueError) as error_info:
-        foo()
-    assert "can be converted to bool, but" in str(error_info.value)
-
-
-@pytest.mark.level1
-@pytest.mark.platform_x86_gpu_training
-@pytest.mark.platform_arm_ascend_training
-@pytest.mark.platform_x86_ascend_training
-@pytest.mark.env_onecard
-def test_and_multi_int_tensor_2():
-    """
-    Feature: graph and syntax
-    Description: Test and syntax in graph mode.
-    Expectation: No exception.
-    """
-    @jit
-    def foo(x, y):
-        print(x and y)
-        return x and y
-
-    with pytest.raises(ValueError) as error_info:
-        foo(Tensor([0, 1]), Tensor([1, 2]))
-    assert "can be converted to bool, but" in str(error_info.value)
-
-
 @pytest.mark.level1
 @pytest.mark.platform_x86_gpu_training
 @pytest.mark.platform_arm_ascend_training

tests/ut/python/graph_syntax/operators/test_bitwise_operator.py

@@ -16,7 +16,7 @@
 import numpy as np
 import pytest
 import mindspore.nn as nn
-from mindspore import context
+from mindspore import context, jit, Tensor
 
 context.set_context(mode=context.GRAPH_MODE)
 
@@ -163,3 +163,37 @@ def test_bitwise_operator_error_too_large_number():
     net = Net()
     with pytest.raises(RuntimeError):
         net(x, y)
+
+
+def test_and_multi_int_tensor():
+    """
+    Feature: graph and syntax
+    Description: Test and syntax in graph mode.
+    Expectation: No exception.
+    """
+    @jit
+    def foo():
+        x = Tensor([0, 1])
+        y = Tensor([1, 2])
+        print(x and y)
+        return x and y
+
+    with pytest.raises(ValueError) as error_info:
+        foo()
+    assert "can be converted to bool, but" in str(error_info.value)
+
+
+def test_and_multi_int_tensor_2():
+    """
+    Feature: graph and syntax
+    Description: Test and syntax in graph mode.
+    Expectation: No exception.
+    """
+    @jit
+    def foo(x, y):
+        print(x and y)
+        return x and y
+
+    with pytest.raises(ValueError) as error_info:
+        foo(Tensor([0, 1]), Tensor([1, 2]))
+    assert "can be converted to bool, but" in str(error_info.value)