!16245 add modelzoo network ncf testcase

From: @anzhengqi
Reviewed-by: @c_34,@linqingke
Signed-off-by: @c_34

requirements.txt

@@ -21,3 +21,5 @@ psutil >= 5.6.1
 subword-nmt>=0.3.7          # for st test
 sacrebleu>=1.4.14           # for st test
 sacremoses>=0.0.35          # for st test
+absl-py>=0.10.0             # for st test
+six>=1.15.0                 # for st test

tests/st/model_zoo_tests/ncf/test_ncf.py

@@ -0,0 +1,48 @@
+# 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_onecard
+def test_ncf():
+    cur_path = os.path.dirname(os.path.abspath(__file__))
+    model_path = "{}/../../../../model_zoo/official/recommend".format(cur_path)
+    model_name = "ncf"
+    utils.copy_files(model_path, cur_path, model_name)
+    cur_model_path = os.path.join(cur_path, model_name)
+    old_list = ["train_epochs 20"]
+    new_list = ["train_epochs 4"]
+    utils.exec_sed_command(old_list, new_list, os.path.join(cur_model_path, "scripts/run_train.sh"))
+    old_list = ["with open(cache_path, \\\"wb\\\")", "pickle.dump"]
+    new_list = ["\\# with open(cache_path, \\\"wb\\\")", "\\# pickle.dump"]
+    utils.exec_sed_command(old_list, new_list, os.path.join(cur_model_path, "src/dataset.py"))
+    dataset_path = os.path.join(utils.data_root, "MovieLens")
+    exec_network_shell = "cd ncf; bash scripts/run_train.sh {0} checkpoint/ > train.log 2>&1 &"\
+        .format(dataset_path)
+    os.system(exec_network_shell)
+    cmd = "ps -ef|grep python|grep train.py|grep train_epochs|grep -v grep"
+    ret = utils.process_check(100, cmd)
+    assert ret
+    log_file = os.path.join(cur_model_path, "train.log")
+    per_step_time = utils.get_perf_data(log_file)
+    assert per_step_time < 2.0
+    loss = utils.get_loss_data_list(log_file)[-1]
+    assert loss < 0.33