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84 lines
2.4 KiB
84 lines
2.4 KiB
# Copyright (c) 2018 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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import numpy as np
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from .... import layers
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__all__ = ['Pruner', 'MagnitudePruner', 'RatioPruner']
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class Pruner(object):
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"""
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Base class of all pruners.
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"""
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def __init__(self):
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pass
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def prune(self, param):
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pass
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class MagnitudePruner(Pruner):
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"""
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Pruner used to pruning a parameter by threshold.
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"""
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def __init__(self, threshold):
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self.threshold = threshold
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def prune(self, param, threshold=None):
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if threshold is None:
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thres = layers.fill_constant(
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shape=[1], dtype='float32', value=self.threshold)
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else:
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thres = threshold
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zeros_mask = layers.less_than(x=param, y=thres)
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return zeros_mask
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class RatioPruner(Pruner):
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"""
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Pruner used to pruning a parameter by ratio.
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"""
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def __init__(self, ratios=None):
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"""
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Args:
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ratios: dict with pair (paramer_name, pruned_ratio).
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"""
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self.ratios = ratios
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def prune(self, param, ratio=None):
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"""
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Args:
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ratio: `ratio=40%` means pruning (1 - 40%) weights to zero.
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"""
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if ratio is None:
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rat = self.ratios[
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param.name] if param.name in self.ratios else self.ratios['*']
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else:
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rat = ratio
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if rat < 1.0:
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k = max(int(rat * np.prod(param.shape)), 1)
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param_vec = layers.reshape(x=param, shape=[1, -1])
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param_topk, _ = layers.topk(param_vec, k=k)
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threshold = layers.slice(
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param_topk, axes=[1], starts=[-1], ends=[k])
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threshold = layers.reshape(x=threshold, shape=[1])
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zeros_mask = layers.less_than(x=param, y=threshold)
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else:
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zeros_mask = layers.ones(param.shape)
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return zeros_mask
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