!15821 add modelzoo network centernet testcase.

From: @anzhengqi
Reviewed-by: @oacjiewen
Signed-off-by:

tests/st/model_zoo_tests/centernet/test_centernet.py

@@ -0,0 +1,62 @@
+# 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 pytest
+
+from tests.st.model_zoo_tests import utils
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.env_single
+def test_center_net():
+    cur_path = os.path.dirname(os.path.abspath(__file__))
+    model_path = "{}/../../../../model_zoo/research/cv".format(cur_path)
+    model_name = "centernet"
+    utils.copy_files(model_path, cur_path, model_name)
+    cur_model_path = os.path.join(cur_path, model_name)
+    old_list = ['new_repeat_count, dataset']
+    new_list = ['5, dataset']
+    utils.exec_sed_command(old_list, new_list, os.path.join(cur_model_path, "train.py"))
+    old_list = ["device_ips = {}", "device_ip.strip()",
+                "rank_size = 0", "this_server = server",
+                "this_server\\[\\\"device\\\"\\]",
+                "instance\\[\\\"device_id\\\"\\]"]
+    new_list = ["device_ips = {}\\n    '''", "device_ip.strip()\\n    '''",
+                "rank_size = 8\\n    this_server = hccl_config[\\\"group_list\\\"][0]\\n    '''",
+                "this_server = server\\n    '''",
+                "this_server[\\\"instance_list\\\"]",
+                "instance[\\\"devices\\\"][0][\\\"device_id\\\"]"]
+    generator_cmd_file = "scripts/ascend_distributed_launcher/get_distribute_train_cmd.py"
+    utils.exec_sed_command(old_list, new_list, os.path.join(cur_model_path, generator_cmd_file))
+    dataset_path = os.path.join(utils.data_root, "coco/coco2017/mindrecord_train/centernet_mindrecord")
+    exec_network_shell = "cd centernet; bash scripts/run_distributed_train_ascend.sh {0} {1}"\
+        .format(dataset_path, utils.rank_table_path)
+    os.system(exec_network_shell)
+    cmd = "ps -ef |grep train.py | grep coco | grep -v grep"
+    ret = utils.process_check(100, cmd)
+    assert ret
+    log_file = os.path.join(cur_model_path, "LOG{}/training_log.txt")
+    for i in range(8):
+        per_step_time = utils.get_perf_data(log_file.format(i))
+        assert per_step_time < 385
+    loss_list = []
+    for i in range(8):
+        loss_cmd = "grep -nr \"outputs are\" {} | awk '{{print $14}}' | awk -F\")\" '{{print $1}}'"\
+            .format(log_file.format(i))
+        loss = utils.get_loss_data_list(log_file.format(i), cmd=loss_cmd)
+        loss_list.append(loss[-1])
+    assert sum(loss_list) / len(loss_list) < 35.0