Add dump st

tests/st/dump/async_dump.json

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+{
+  "common_dump_settings": {
+    "dump_mode": 0,
+    "path": "/test",
+    "net_name": "Net",
+    "iteration": 0,
+    "input_output": 2,
+    "kernels": ["Default/TensorAdd-op3"],
+    "support_device": [0,1,2,3,4,5,6,7]
+  },
+  "async_dump_settings": {
+    "enable": true,
+    "op_debug_mode": 0
+  }
+}

tests/st/dump/e2e_dump.json

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+{
+  "common_dump_settings": {
+    "dump_mode": 0,
+    "path": "/test",
+    "net_name": "Net",
+    "iteration": 0,
+    "input_output": 0,
+    "kernels": ["Default/Conv-op12"],
+    "support_device": [0,1,2,3,4,5,6,7]
+  },
+  "e2e_dump_settings": {
+    "enable": true,
+    "trans_flag": false
+  }
+}

tests/st/dump/test_data_dump.py

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+# 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.
+# ============================================================================
+import os
+import json
+import time
+import shutil
+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
+
+context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+
+class Net(nn.Cell):
+    def __init__(self):
+        super(Net, self).__init__()
+        self.add = P.TensorAdd()
+
+    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)
+
+def change_current_dump_json(file_name, dump_path):
+    with open(file_name, 'r+') as f:
+        data = json.load(f)
+
+    data["common_dump_settings"]["path"] = dump_path
+    with open(file_name, 'w') as f:
+        json.dump(data, f)
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_onecard
+def test_async_dump():
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    pwd = os.getcwd()
+    dump_path = pwd + "/dump"
+    change_current_dump_json('async_dump.json', dump_path)
+    os.environ['MINDSPORE_DUMP_CONFIG'] = pwd + "/async_dump.json"
+    device_id = context.get_context("device_id")
+    dump_file_path = pwd + '/dump/device_{}/Net_graph_0/0/0/'.format(device_id)
+    if os.path.isdir(dump_path):
+        shutil.rmtree(dump_path)
+    add = Net()
+    add(Tensor(x), Tensor(y))
+    time.sleep(5)
+    assert len(os.listdir(dump_file_path)) == 1
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_onecard
+def test_e2e_dump():
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    pwd = os.getcwd()
+    dump_path = pwd + "/dump"
+    change_current_dump_json('e2e_dump.json', dump_path)
+    os.environ['MINDSPORE_DUMP_CONFIG'] = pwd + "/e2e_dump.json"
+    device_id = context.get_context("device_id")
+    dump_file_path = pwd + '/dump/Net/device_{}/iteration_1/'.format(device_id)
+    if os.path.isdir(dump_path):
+        shutil.rmtree(dump_path)
+    add = Net()
+    add(Tensor(x), Tensor(y))
+    time.sleep(5)
+    assert len(os.listdir(dump_file_path)) == 5