szha commented on a change in pull request #18025:
URL: https://github.com/apache/incubator-mxnet/pull/18025#discussion_r411695505



##########
File path: conftest.py
##########
@@ -0,0 +1,226 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you 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.
+"""conftest.py contains configuration for pytest.
+
+Configuration file for tests in tests/ and scripts/ folders.
+
+Note that fixtures of higher-scoped fixtures (such as ``session``) are
+instantiated before lower-scoped fixtures (such as ``function``).
+
+"""
+
+import logging
+import os
+import random
+
+import pytest
+
+
+def pytest_sessionfinish(session, exitstatus):
+    if exitstatus == 5:  # Don't fail if no tests were run
+        session.exitstatus = 0
+
+
+# * Random seed setup
+def pytest_configure():
+    """Pytest configuration hook to help reproduce test segfaults
+
+    Sets and outputs rng seeds.
+
+    The segfault-debug procedure on a module called test_module.py is:
+
+    1. run "pytest --verbose test_module.py".  A seg-faulting output might be:
+
+       [INFO] np, mx and python random seeds = 4018804151
+       test_module.test1 ... ok
+       test_module.test2 ... Illegal instruction (core dumped)
+
+    2. Copy the module-starting seed into the next command, then run:
+
+       MXNET_MODULE_SEED=4018804151 pytest --log-level=DEBUG --verbose 
test_module.py
+
+       Output might be:
+
+       [WARNING] **** module-level seed is set: all tests running 
deterministically ****
+       [INFO] np, mx and python random seeds = 4018804151
+       test_module.test1 ... [DEBUG] np and mx random seeds = 3935862516
+       ok
+       test_module.test2 ... [DEBUG] np and mx random seeds = 1435005594
+       Illegal instruction (core dumped)
+
+    3. Copy the segfaulting-test seed into the command:
+       MXNET_TEST_SEED=1435005594 pytest --log-level=DEBUG --verbose 
test_module.py:test2
+       Output might be:
+
+       [INFO] np, mx and python random seeds = 2481884723
+       test_module.test2 ... [DEBUG] np and mx random seeds = 1435005594
+       Illegal instruction (core dumped)
+
+    3. Finally reproduce the segfault directly under gdb (might need 
additional os packages)
+       by editing the bottom of test_module.py to be
+
+       if __name__ == '__main__':
+           logging.getLogger().setLevel(logging.DEBUG)
+           test2()
+
+       MXNET_TEST_SEED=1435005594 gdb -ex r --args python test_module.py
+
+    4. When finished debugging the segfault, remember to unset any exported 
MXNET_ seed
+       variables in the environment to return to non-deterministic testing (a 
good thing).
+    """
+
+    module_seed_str = os.getenv('MXNET_MODULE_SEED')
+    if module_seed_str is None:
+        seed = random.randint(0, 2**31-1)
+    else:
+        seed = int(module_seed_str)
+        logging.warning('*** module-level seed is set: '
+                        'all tests running deterministically ***')
+    print('Setting module np/mx/python random seeds, '
+          'use MXNET_MODULE_SEED={} to reproduce.'.format(seed))
+
+    random.seed(seed)
+    try:
+        import numpy as np
+        import mxnet as mx
+        np.random.seed(seed)
+        mx.random.seed(seed)
+    except:
+        print('Unable to import numpy/mxnet. Skipping conftest.')
+
+    # The MXNET_TEST_SEED environment variable will override MXNET_MODULE_SEED 
for tests with
+    #  the 'with_seed()' decoration.  Inform the user of this once here at the 
module level.
+    if os.getenv('MXNET_TEST_SEED') is not None:
+        logging.warning('*** test-level seed set: all "@with_seed()" '
+                        'tests run deterministically ***')
+
+
[email protected](tryfirst=True, hookwrapper=True)
+def pytest_runtest_makereport(item, call):
+    """Make test outcome available to fixture.
+
+    
https://docs.pytest.org/en/latest/example/simple.html#making-test-result-information-available-in-fixtures
+    """
+    # execute all other hooks to obtain the report object
+    outcome = yield
+    rep = outcome.get_result()
+
+    # set a report attribute for each phase of a call, which can
+    # be "setup", "call", "teardown"
+    setattr(item, "rep_" + rep.when, rep)
+
+
[email protected](scope='function', autouse=True)
+def function_scope_seed(request):
+    """A function scope fixture that manages rng seeds.
+
+    This fixture automatically initializes the python, numpy and mxnet random
+    number generators randomly on every test run.
+
+    def test_ok_with_random_data():
+        ...
+
+    To fix the seed used for a test case mark the test function with the
+    desired seed:
+
+    @pytest.mark.seed(1)
+    def test_not_ok_with_random_data():
+        '''This testcase actually works.'''
+        assert 17 == random.randint(0, 100)
+
+    When a test fails, the fixture outputs the seed used. The user can then set
+    the environment variable MXNET_TEST_SEED to the value reported, then rerun
+    the test with:
+
+        pytest --verbose -s <test_module_name.py> -k <failing_test>
+
+    To run a test repeatedly, install pytest-repeat and add the --count 
argument:
+
+        pip install pytest-repeat
+        pytest --verbose -s <test_module_name.py> -k <failing_test> --count 
1000
+
+    """
+
+    seed = request.node.get_closest_marker('seed')
+    env_seed_str = os.getenv('MXNET_TEST_SEED')
+
+    if seed is not None:
+        seed = seed.args[0]
+        assert isinstance(seed, int)
+    elif env_seed_str is not None:
+        seed = int(env_seed_str)
+    else:
+        seed = random.randint(0, 2**31-1)
+
+    random.seed(seed)
+    try:
+        import numpy as np
+        import mxnet as mx
+        post_test_state = np.random.get_state()

Review comment:
       yes, we are unable to save it yet as we don't expose the states in the 
frontend yet.




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