!30728 add ci test for unify backend

Merge pull request !30728 from xiaoyao/master

mindspore/core/utils/ms_context.cc

@@ -119,10 +119,12 @@ std::shared_ptr<MsContext> MsContext::GetInstance() {
 
 bool MsContext::set_backend_policy(const std::string &policy) {
   auto policy_new = policy;
+#ifdef ENABLE_D
   auto enable_ge = mindspore::common::GetEnv("MS_ENABLE_GE");
   if (enable_ge == "1") {
     policy_new = "ge";
   }
+#endif
   if (policy_map_.find(policy_new) == policy_map_.end()) {
     MS_LOG(ERROR) << "invalid backend policy name: " << policy_new;
     return false;

tests/st/model_zoo_tests/resnet50/test_resnet50_cifar10.py

@@ -18,7 +18,6 @@ import pytest
 from mindspore import log as logger
 from tests.st.model_zoo_tests import utils
 
-
 @pytest.mark.level2
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_arm_ascend_training
@@ -50,7 +49,6 @@ def test_resnet50_cifar10_ascend():
         loss_list.append(loss[-1])
     assert sum(loss_list) / len(loss_list) < 0.70
 
-
 @pytest.mark.level0
 @pytest.mark.platform_x86_gpu_training
 @pytest.mark.env_single

tests/ut/python/nn/test_triu.py

@@ -15,6 +15,7 @@
 """
 test nn.Triu()
 """
+import os
 import numpy as np
 
 import mindspore.nn as nn
@@ -23,21 +24,38 @@ from mindspore import context
 
 context.set_context(mode=context.GRAPH_MODE)
 
+class TriuNet(nn.Cell):
+    def __init__(self):
+        super(TriuNet, self).__init__()
+        self.value = Tensor([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
+
+    def construct(self):
+        triu = nn.Triu()
+        return triu(self.value, 0)
 
 def test_triu():
-    class Net(nn.Cell):
-        def __init__(self):
-            super(Net, self).__init__()
-            self.value = Tensor([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
-
-        def construct(self):
-            triu = nn.Triu()
-            return triu(self.value, 0)
-
-    net = Net()
+    """
+    Feature: None
+    Description: test TriuNet with vm backend
+    Expectation: None
+    """
+    net = TriuNet()
     out = net()
     assert np.sum(out.asnumpy()) == 26
 
+def test_triu_ge():
+    """
+    Feature: unify ge and vm backend
+    Description: test TriuNet with ge backend
+    Expectation: None
+    """
+    os.environ['MS_ENABLE_GE'] = "1"
+    os.environ['MS_GE_TRAIN'] = "0"
+    net = TriuNet()
+    out = net()
+    del os.environ['MS_GE_TRAIN']
+    del os.environ['MS_ENABLE_GE']
+    assert np.sum(out.asnumpy()) == 26
 
 def test_triu_1():
     class Net(nn.Cell):
@@ -71,9 +89,6 @@ def test_triu_2():
 
 def test_triu_parameter():
     class Net(nn.Cell):
-        def __init__(self):
-            super(Net, self).__init__()
-
         def construct(self, x):
             triu = nn.Triu()
             return triu(x, 0)
@@ -84,9 +99,6 @@ def test_triu_parameter():
 
 def test_triu_parameter_1():
     class Net(nn.Cell):
-        def __init__(self):
-            super(Net, self).__init__()
-
         def construct(self, x):
             triu = nn.Triu()
             return triu(x, 1)
@@ -97,9 +109,6 @@ def test_triu_parameter_1():
 
 def test_triu_parameter_2():
     class Net(nn.Cell):
-        def __init__(self):
-            super(Net, self).__init__()
-
         def construct(self, x):
             triu = nn.Triu()
             return triu(x, -1)

tests/ut/python/pipeline/parse/test_for_stmt.py

@@ -13,6 +13,7 @@
 # limitations under the License.
 # ============================================================================
 """ test_for_stmt """
+import os
 from dataclasses import dataclass
 import numpy as np
 
@@ -91,6 +92,15 @@ def test_op_seq_test():
     input_me = Tensor(input_np)
     net(input_me)
 
+def test_op_seq_test_ge():
+    """
+    Feature: unify ge and vm backend
+    Description: test op seq with ge backend
+    Expectation: None
+    """
+    os.environ['MS_ENABLE_GE'] = "1"
+    test_op_seq_test()
+    del os.environ['MS_ENABLE_GE']
 
 _grad_fusion = C.MultitypeFuncGraph("grad_fushion")
 
@@ -124,3 +134,13 @@ def test_allreduce_fushio_test():
     input_np = np.random.randn(2, 3, 4, 5).astype(np.float32)
     input_me = Tensor(input_np)
     net(input_me)
+
+def test_allreduce_fushio_test_ge():
+    """
+    Feature: unify ge and vm backend
+    Description: test allreduce fushio with ge backend
+    Expectation: None
+    """
+    os.environ['MS_ENABLE_GE'] = "1"
+    test_allreduce_fushio_test()
+    del os.environ['MS_ENABLE_GE']