add st for pynative mode part2

tests/st/pynative/loss_scale/test_loss_scale.py

@@ -16,6 +16,7 @@
 import numpy as np
 import pytest
 import mindspore.nn as nn
+from mindspore import context
 from mindspore import Tensor, Parameter
 from mindspore.nn.wrap.cell_wrapper import WithLossCell
 from mindspore.nn.wrap.loss_scale import TrainOneStepWithLossScaleCell
@@ -27,6 +28,9 @@ from mindspore.train import Model
 from mindspore.nn.optim import Lamb
 from mindspore.train.loss_scale_manager import DynamicLossScaleManager
 
+def setup_module():
+    context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend")
+
 class MindData:
     """ Stub for MindData """
 

tests/st/pynative/test_function_staging.py

@@ -15,11 +15,15 @@
 
 import pytest
 import numpy as np
+from mindspore import context
 from mindspore.nn import ReLU
 from mindspore.nn import Cell
 from mindspore.common.tensor import Tensor
 from mindspore.common.api import ms_function
 
+def setup_module():
+    context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend")
+
 @pytest.mark.level0
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training

tests/st/pynative/test_parser_operator.py

@@ -0,0 +1,41 @@
+# Copyright 2020 Huawei Technologies Co., Ltd
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ============================================================================
+
+from mindspore import context
+from mindspore.nn import ReLU
+from mindspore.nn import Cell
+from mindspore.common.tensor import Tensor
+import numpy as np
+
+def setup_module():
+    context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend")
+
+def test_parser_operator_floor_div():
+    class Net(Cell):
+        def __init__(self):
+            super(Net, self).__init__()
+            self.relu = ReLU()
+
+        def construct(self, x):
+            x = self.relu(x)
+            x = 3 // x
+            return x
+
+    input_np_x = np.array(2).astype(np.float32)
+    input_me_x = Tensor(input_np_x)
+    net = Net()
+    out_me = net(input_me_x)
+
+    assert np.allclose(out_me.asnumpy(), 3 // input_np_x, 0.001, 0.001)

tests/st/pynative/test_parser_tensor_assign.py

@@ -16,11 +16,15 @@
 import pytest
 import numpy as np
 import mindspore as ms
+from mindspore import context
 from mindspore.nn import ReLU
 from mindspore.nn import Cell
 from mindspore.common.tensor import Tensor
 from mindspore.ops import operations as P
 
+def setup_module():
+    context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend")
+
 @pytest.mark.level0
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training