Esempio n. 1
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def test_client_set_trial_throw(file='client_throw'):
    try:
        with Remove(file):
            client = TrackClient(f'file://{file}')
            client.set_trial(uid='does_not_exist')
    except TrialDoesNotExist:
        pass
Esempio n. 2
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def test_client_capture_output(file='client_output'):
    with Remove(file):
        client = TrackClient(f'file://{file}')
        client.set_project(name='project_name')

        logger = client.new_trial()
        logger.capture_output(50)

        for i in range(0, 100):
            print(f'testing_output_{i}')

        out = logger.stdout.raw()
        for i in range(0, 25):
            assert out[i * 2] == f'testing_output_{100 - 25 + i}'
            assert out[i * 2 + 1] == '\n'
Esempio n. 3
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def test_client_orion_integration(file='client_orion_integration'):
    def scoped_init():
        clt = TrackClient(f'file://{file}')

        clt.set_project(name='project_name')
        clt.set_group(name='group_name')
        clt.new_trial()
        clt.log_arguments(batch_size=256)

        clt.save()
        return clt.trial.uid

    old_environ = os.environ.copy()
    try:
        with Remove(file):
            trial_id = scoped_init()

            os.environ['ORION_PROJECT'] = 'project_name'
            os.environ['ORION_EXPERIMENT'] = 'group_name'
            os.environ['ORION_TRIAL_ID'] = trial_id

            client = TrackClient(f'file://{file}')

            assert client.trial.parameters['batch_size'] == 256

    finally:
        os.environ = old_environ
Esempio n. 4
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def test_client_log_api():
    with Remove('client_test.json'):
        client = TrackClient('file://client_test.json')
        client.set_project(name='test_client')

        trial = client.new_trial()
        trial.log_arguments(batch_size=256)

        trial.log_metrics(step=1, epoch_loss=1)
        trial.log_metrics(accuracy=0.98)

        client.save()
        client.report()
Esempio n. 5
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    def _initialize_client(self, uri):
        self.uri = uri
        self.options = parse_uri(uri)["query"]

        self.client = TrackClient(uri)
        self.backend = self.client.protocol
        self.project = None
        self.group = None
        self.objective = self.options.get("objective")
        assert self.objective is not None, "An objective should be defined!"
Esempio n. 6
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    def __init__(self, uri):
        if not HAS_TRACK:
            # We ignored the import error above in case we did not need track
            # but now that we do we can rethrow it
            raise ImportError("Track is not installed!")

        self.uri = uri
        self.options = parse_uri(uri)["query"]

        self.client = TrackClient(uri)
        self.backend = self.client.protocol
        self.project = None
        self.group = None
        self.objective = self.options.get("objective")
        self.lies = dict()
        assert self.objective is not None, "An objective should be defined!"
Esempio n. 7
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def test_trial(file='test.json'):

    with Remove(file):
        client = TrackClient(f'file:{file}')

        client.set_project(name='ConvnetTest', description='Trail test example')
        client.set_group(name='test_group')

        logger1 = client.new_trial()
        client.get_arguments({'a': 1})

        uid1 = logger1.trial.hash

        logger2 = client.new_trial(force=True)
        client.get_arguments({'a': 2})

        uid2 = logger2.trial.hash
        assert uid1 != uid2, 'Trials with different parameters must have different hash'
Esempio n. 8
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    def scoped_init():
        clt = TrackClient(f'file://{file}')

        clt.set_project(name='project_name')
        clt.set_group(name='group_name')
        clt.new_trial()
        clt.log_arguments(batch_size=256)

        clt.save()
        return clt.trial.uid
Esempio n. 9
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def test_client_no_group(file='client_2'):
    with Remove(file):
        client = TrackClient(f'file://{file}')
        client.set_project(name='test_client')

        log = client.new_trial()
        client.log_arguments(batch_size=256)

        client.log_metrics(step=1, epoch_loss=1)
        client.log_metrics(accuracy=0.98)

        client.save()
        client.report()

        print(log.trial.metrics)