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74 lines
2.3 KiB
74 lines
2.3 KiB
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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__all__ = ["SchedulerBase", "Constant", "PieceWise", "StepWise"]
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class SchedulerBase(object):
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def __call__(self, step):
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raise NotImplementedError("You should implement the __call__ method.")
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class Constant(SchedulerBase):
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def __init__(self, value):
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self.value = value
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def __call__(self, step):
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return self.value
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class PieceWise(SchedulerBase):
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def __init__(self, anchors):
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anchors = list(anchors)
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anchors = sorted(anchors, key=lambda x: x[0])
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assert anchors[0][0] == 0, "it must start from zero"
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self.xs = [item[0] for item in anchors]
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self.ys = [item[1] for item in anchors]
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self.num_anchors = len(self.xs)
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def __call__(self, step):
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i = 0
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for x in self.xs:
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if step >= x:
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i += 1
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if i == 0:
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return self.ys[0]
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if i == self.num_anchors:
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return self.ys[-1]
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k = (self.ys[i] - self.ys[i - 1]) / (self.xs[i] - self.xs[i - 1])
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out = self.ys[i - 1] + (step - self.xs[i - 1]) * k
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return out
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class StepWise(SchedulerBase):
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def __init__(self, anchors):
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anchors = list(anchors)
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anchors = sorted(anchors, key=lambda x: x[0])
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assert anchors[0][0] == 0, "it must start from zero"
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self.xs = [item[0] for item in anchors]
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self.ys = [item[1] for item in anchors]
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self.num_anchors = len(self.xs)
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def __call__(self, step):
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i = 0
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for x in self.xs:
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if step >= x:
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i += 1
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if i == self.num_anchors:
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return self.ys[-1]
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if i == 0:
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return self.ys[0]
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return self.ys[i - 1]
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