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import functools
import logging
import os
import random
import mxnet as mx
import numpy as np
def with_seed(seed=None):
"""
A decorator for test functions that manages rng seeds.
Parameters
----------
seed : the seed to pass to np.random and mx.random
This tests decorator sets the np, mx and python random seeds identically
prior to each test, then outputs those seeds if the test fails or
if the test requires a fixed seed (as a reminder to make the test
more robust against random data).
@with_seed()
def test_ok_with_random_data():
...
@with_seed(1234)
def test_not_ok_with_random_data():
...
Use of the @with_seed() decorator for all tests creates
tests isolation and reproducability of failures. When a
test fails, the decorator 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 --capture=no <test_module_name.py>::<failing_test>
To run a test repeatedly, set MXNET_TEST_COUNT=<NNN> in the environment.
To see the seeds of even the passing tests, add '--log-level=DEBUG' to pytest.
"""
def test_helper(orig_test):
@functools.wraps(orig_test)
def test_new(*args, **kwargs):
test_count = int(os.getenv('MXNET_TEST_COUNT', '1'))
env_seed_str = os.getenv('MXNET_TEST_SEED')
for i in range(test_count):
if seed is not None:
this_test_seed = seed
log_level = logging.INFO
elif env_seed_str is not None:
this_test_seed = int(env_seed_str)
log_level = logging.INFO
else:
this_test_seed = np.random.randint(0, np.iinfo(np.int32).max)
log_level = logging.DEBUG
post_test_state = np.random.get_state()
np.random.seed(this_test_seed)
mx.random.seed(this_test_seed)
random.seed(this_test_seed)
# 'pytest --logging-level=DEBUG' shows this msg even with an ensuing core dump.
test_count_msg = '{} of {}: '.format(i+1,test_count) if test_count > 1 else ''
pre_test_msg = ('{}Setting test np/mx/python random seeds, use MXNET_TEST_SEED={}'
' to reproduce.').format(test_count_msg, this_test_seed)
on_err_test_msg = ('{}Error seen with seeded test, use MXNET_TEST_SEED={}'
' to reproduce.').format(test_count_msg, this_test_seed)
logging.log(log_level, pre_test_msg)
try:
orig_test(*args, **kwargs)
except:
# With exceptions, repeat test_msg at WARNING level to be sure it's seen.
if log_level < logging.WARNING:
logging.warning(on_err_test_msg)
raise
finally:
# Provide test-isolation for any test having this decorator
mx.nd.waitall()
np.random.set_state(post_test_state)
return test_new
return test_helper