__copyright__ = """
Copyright (c) 2018 Uber Technologies, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
"""
import numbers
import threading
from queue import Queue
import numpy as np
import math
class SharedNoiseTable(object):
def __init__(self):
import ctypes, multiprocessing
seed = 123
count = 250000000 # 1 gigabyte of 32-bit numbers. Will actually sample 2 gigabytes below.
print('Sampling {} random numbers with seed {}'.format(count, seed))
self._shared_mem = multiprocessing.Array(ctypes.c_float, count)
self.noise = np.ctypeslib.as_array(self._shared_mem.get_obj())
assert self.noise.dtype == np.float32
self.noise[:] = np.random.RandomState(seed).randn(count) # 64-bit to 32-bit conversion here
print('Sampled {} bytes'.format(self.noise.size * 4))
def get(self, i, dim):
return self.noise[i:i + dim]
def sample_index(self, stream, dim):
return stream.randint(0, len(self.noise) - dim + 1)
class ConstantSchedule(object):
def __init__(self, value):
self._value = value
def value(self, **kwargs):
return self._value
class LinearSchedule(object):
def __init__(self, schedule, final_p, initial_p, field):
self.schedule = schedule
self.field = field
self.final_p = final_p
self.initial_p = initial_p
def value(self, **kwargs):
assert self.field in kwargs, "Argument {} not provided to scheduler Available: {}".format(self.field, kwargs)
fraction = min(float(kwargs[self.field]) / self.schedule, 1.0)
return self.initial_p + fraction * (self.final_p - self.initial_p)
class ExponentialSchedule(object):
def __init__(self, initial_p, final_p, schedule, field):
self.initial_p = initial_p
self.final_p = final_p
self.schedule = schedule
self.field = field
self.linear = LinearSchedule(
initial_p=math.log(self.initial_p),
final_p=math.log(self.final_p),
schedule=self.schedule,
field=self.field)
def value(self, **kwargs):
return math.exp(self.linear(**kwargs))
def make_schedule(args):
if isinstance(args, numbers.Number):
return ConstantSchedule(args)
else:
return globals()[args['type']](**{key: value for key, value in args.items() if key != 'type'})
