!41548 Fix graph mode of some ut cases

Merge pull request !41548 from chenfei_mindspore/code-self-check

tests/ut/python/nn/optim/test_apply_adam_with_amsgrad.py

@@ -63,6 +63,7 @@ def test_apply_adam_with_amsgrad_compile():
     _cell_graph_executor.compile(train_network, inputs, label)
     context.set_context(mode=context.PYNATIVE_MODE, device_target="CPU")
     _cell_graph_executor.compile(train_network, inputs, label)
+    context.set_context(mode=context.GRAPH_MODE)
 
 
 def test_apply_adam_with_amsgrad_group1():
@@ -95,6 +96,7 @@ def test_apply_adam_with_amsgrad_group1():
     _cell_graph_executor.compile(train_network, inputs, label)
     context.set_context(mode=context.PYNATIVE_MODE, device_target="CPU")
     _cell_graph_executor.compile(train_network, inputs, label)
+    context.set_context(mode=context.GRAPH_MODE)
 
 
 def test_apply_adam_with_amsgrad_group2():
@@ -125,6 +127,7 @@ def test_apply_adam_with_amsgrad_group2():
     _cell_graph_executor.compile(train_network, inputs, label)
     context.set_context(mode=context.PYNATIVE_MODE, device_target="CPU")
     _cell_graph_executor.compile(train_network, inputs, label)
+    context.set_context(mode=context.GRAPH_MODE)
 
 
 class NetWithSparseGatherV2(nn.Cell):
@@ -167,3 +170,4 @@ def test_sparse_apply_adam_with_amsgrad():
     with pytest.raises(Exception):
         context.set_context(mode=context.PYNATIVE_MODE, device_target="CPU")
         _cell_graph_executor.compile(train_network, indices, label)
+    context.set_context(mode=context.GRAPH_MODE)

tests/ut/python/nn/optim/test_optimizer.py

@@ -20,6 +20,7 @@ import mindspore as ms
 from mindspore import Tensor
 from mindspore.common.parameter import Parameter
 from mindspore.nn.optim import Optimizer, SGD, Adam, AdamWeightDecay
+from mindspore import context
 
 
 class IterableObjc:
@@ -110,6 +111,7 @@ def test_not_flattened_params():
     Description: Optimizer with not flattened parameters.
     Expectation: The Optimizer works as expected.
     """
+    context.set_context(mode=context.GRAPH_MODE)
     p1 = Parameter(Tensor([1], ms.float32), name="p1")
     p2 = Parameter(Tensor([2], ms.float32), name="p2")
     p3 = Parameter(Tensor([3], ms.float32), name="p3")
@@ -127,6 +129,7 @@ def test_with_flattened_params():
     Description: Optimizer with flattened parameters.
     Expectation: The Optimizer works as expected.
     """
+    context.set_context(mode=context.GRAPH_MODE)
     p1 = Parameter(Tensor([1], ms.float32), name="p1")
     p2 = Parameter(Tensor([2], ms.float32), name="p2")
     p3 = Parameter(Tensor([3], ms.float32), name="p3")
@@ -154,6 +157,7 @@ def test_adam_with_flattened_params():
     Description: Adam optimizer with flattened parameters.
     Expectation: It is ok to compile the optimizer.
     """
+    context.set_context(mode=context.GRAPH_MODE)
     p1 = Parameter(Tensor([1], ms.float32), name="p1")
     p2 = Parameter(Tensor([2], ms.float32), name="p2")
     p3 = Parameter(Tensor([3], ms.float32), name="p3")
@@ -164,7 +168,6 @@ def test_adam_with_flattened_params():
     g2 = Tensor([0.2], ms.float32)
     g3 = Tensor([0.3], ms.float32)
     grads = (g1, g2, g3)
-    with pytest.raises(NotImplementedError):
     adam(grads)
 
 
@@ -174,6 +177,7 @@ def test_adam_with_flattened_params_fusion_size():
     Description: Adam optimizer with flattened parameters and fusion size.
     Expectation: It is ok to compile the optimizer.
     """
+    context.set_context(mode=context.GRAPH_MODE)
     p1 = Parameter(Tensor([1], ms.float32), name="p1")
     p2 = Parameter(Tensor([2], ms.float32), name="p2")
     p3 = Parameter(Tensor([3], ms.float32), name="p3")
@@ -194,5 +198,4 @@ def test_adam_with_flattened_params_fusion_size():
     g4 = Tensor([0.4], ms.float32)
     g5 = Tensor([0.5], ms.float32)
     grads = (g1, g2, g3, g4, g5)
-    with pytest.raises(NotImplementedError):
     adam(grads)