def testTBX(self):
config = {"a": 2, "b": 5, "c": {"c": {"D": 123}, "e": None}}
t = Trial(evaluated_params=config, trial_id="tbx")
logger = TBXLogger(config=config, logdir=self.test_dir, trial=t)
logger.on_result(result(0, 4))
logger.on_result(result(1, 4))
logger.on_result(result(2, 4, score=[1, 2, 3], hello={"world": 1}))
logger.close()
def testTBX(self):
config = {"a": 2, "b": 5}
t = Trial(evaluated_params=config, trial_id="tbx")
logger = TBXLogger(config=config, logdir=self.test_dir, trial=t)
logger.on_result(result(0, 4))
logger.on_result(result(1, 4))
logger.on_result(result(2, 4, score=[1, 2, 3]))
logger.close()
def testLegacyBadTBX(self):
config = {"b": (1, 2, 3)}
t = Trial(
evaluated_params=config, trial_id="tbx", logdir=self.test_dir)
logger = TBXLogger(config=config, logdir=self.test_dir, trial=t)
logger.on_result(result(0, 4))
logger.on_result(result(2, 4, score=[1, 2, 3], hello={"world": 1}))
with self.assertLogs("ray.tune.logger", level="INFO") as cm:
logger.close()
assert "INFO" in cm.output[0]
def testLegacyTBX(self):
config = {
"a": 2,
"b": [1, 2],
"c": {
"c": {
"D": 123
}
},
"d": np.int64(1),
"e": np.bool8(True),
"f": None,
}
t = Trial(
evaluated_params=config, trial_id="tbx", logdir=self.test_dir)
logger = TBXLogger(config=config, logdir=self.test_dir, trial=t)
logger.on_result(result(0, 4))
logger.on_result(result(1, 5))
logger.on_result(result(2, 6, score=[1, 2, 3], hello={"world": 1}))
logger.close()
self._validate_tbx_result()