simple_tuner.py 2.06 KB
Newer Older
Yan Ni's avatar
Yan Ni committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
"""
SimpleTuner for Weight Sharing
"""

import logging

from threading import Event, Lock
from nni.tuner import Tuner

_logger = logging.getLogger('WeightSharingTuner')


class SimpleTuner(Tuner):
    """
    simple tuner, test for weight sharing
    """

    def __init__(self):
        super(SimpleTuner, self).__init__()
        self.trial_meta = {}
        self.f_id = None  # father
        self.sig_event = Event()
        self.thread_lock = Lock()

25
    def generate_parameters(self, parameter_id, **kwargs):
Yan Ni's avatar
Yan Ni committed
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
        if self.f_id is None:
            self.thread_lock.acquire()
            self.f_id = parameter_id
            self.trial_meta[parameter_id] = {
                'prev_id': 0,
                'id': parameter_id,
                'checksum': None,
                'path': '',
            }
            _logger.info('generate parameter for father trial %s' %
                         parameter_id)
            self.thread_lock.release()
            return {
                'prev_id': 0,
                'id': parameter_id,
            }
        else:
            self.sig_event.wait()
            self.thread_lock.acquire()
            self.trial_meta[parameter_id] = {
                'id': parameter_id,
                'prev_id': self.f_id,
                'prev_path': self.trial_meta[self.f_id]['path']
            }
            self.thread_lock.release()
            return self.trial_meta[parameter_id]

53
    def receive_trial_result(self, parameter_id, parameters, reward, **kwargs):
Yan Ni's avatar
Yan Ni committed
54
55
56
57
58
59
60
61
62
63
64
65
66
        self.thread_lock.acquire()
        if parameter_id == self.f_id:
            self.trial_meta[parameter_id]['checksum'] = reward['checksum']
            self.trial_meta[parameter_id]['path'] = reward['path']
            self.sig_event.set()
        else:
            if reward['checksum'] != self.trial_meta[self.f_id]['checksum']:
                raise ValueError("Inconsistency in weight sharing: {} != {}".format(
                    reward['checksum'], self.trial_meta[self.f_id]['checksum']))
        self.thread_lock.release()

    def update_search_space(self, search_space):
        pass