add ascend profiling st

tests/st/profiler/test_ascend_profiler.py

@@ -0,0 +1,50 @@
+# Copyright 2021 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.
+# ============================================================================
+import os
+import shutil
+import glob
+import numpy as np
+import pytest
+import mindspore.context as context
+import mindspore.nn as nn
+from mindspore import Tensor
+from mindspore.ops import operations as P
+from mindspore.profiler import Profiler
+
+class Net(nn.Cell):
+    def __init__(self):
+        super(Net, self).__init__()
+        self.add = P.Add()
+
+    def construct(self, x_, y_):
+        return self.add(x_, y_)
+
+
+x = np.random.randn(1, 3, 3, 4).astype(np.float32)
+y = np.random.randn(1, 3, 3, 4).astype(np.float32)
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_onecard
+def test_ascend_profiling():
+    if os.path.isdir("./data_ascend_profiler"):
+        shutil.rmtree("./data_ascend_profiler")
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    profiler = Profiler(output_path="./data_ascend_profiler", is_detail=True, is_show_op_path=False, subgraph="all")
+    add = Net()
+    add(Tensor(x), Tensor(y))
+    profiler.analyse()
+    assert len(glob.glob("./data_ascend_profiler/profiler*/JOB*/data/Framework*")) == 6