forked from PulseFocusPlatform/PulseFocusPlatform
114 lines
4.6 KiB
Python
114 lines
4.6 KiB
Python
# Copyright (c) 2019 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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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import numpy as np
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from paddleslim.nas.search_space.search_space_base import SearchSpaceBase
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from paddleslim.nas.search_space.search_space_registry import SEARCHSPACE
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from ppdet.modeling.backbones.blazenet import BlazeNet
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from ppdet.modeling.architectures.blazeface import BlazeFace
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@SEARCHSPACE.register
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class BlazeFaceNasSpace(SearchSpaceBase):
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def __init__(self, input_size, output_size, block_num, block_mask):
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super(BlazeFaceNasSpace, self).__init__(input_size, output_size,
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block_num, block_mask)
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self.blaze_filter_num1 = np.array([4, 8, 12, 16, 20, 24, 32])
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self.blaze_filter_num2 = np.array([8, 12, 16, 20, 24, 32, 40, 48, 64])
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self.mid_filter_num = np.array([8, 12, 16, 20, 24, 32])
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self.double_filter_num = np.array(
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[8, 12, 16, 24, 32, 40, 48, 64, 72, 80, 88, 96])
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self.use_5x5kernel = np.array([0, 1])
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def init_tokens(self):
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return [2, 1, 3, 8, 2, 1, 2, 1, 1]
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def range_table(self):
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return [
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len(self.blaze_filter_num1), len(self.blaze_filter_num2),
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len(self.double_filter_num), len(self.double_filter_num),
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len(self.mid_filter_num), len(self.mid_filter_num),
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len(self.mid_filter_num), len(self.mid_filter_num),
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len(self.use_5x5kernel)
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]
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def get_nas_cnf(self, tokens=None):
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if tokens is None:
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tokens = self.init_tokens()
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blaze_filters = [[
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self.blaze_filter_num1[tokens[0]], self.blaze_filter_num1[tokens[0]]
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], [
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self.blaze_filter_num1[tokens[0]],
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self.blaze_filter_num2[tokens[1]], 2
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], [
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self.blaze_filter_num2[tokens[1]], self.blaze_filter_num2[tokens[1]]
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]]
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double_blaze_filters = [[
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self.blaze_filter_num2[tokens[1]], self.mid_filter_num[tokens[4]],
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self.double_filter_num[tokens[2]], 2
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], [
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self.double_filter_num[tokens[2]], self.mid_filter_num[tokens[5]],
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self.double_filter_num[tokens[2]]
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], [
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self.double_filter_num[tokens[2]], self.mid_filter_num[tokens[6]],
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self.double_filter_num[tokens[3]], 2
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], [
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self.double_filter_num[tokens[3]], self.mid_filter_num[tokens[7]],
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self.double_filter_num[tokens[3]]
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]]
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is_5x5kernel = True if self.use_5x5kernel[tokens[8]] else False
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return blaze_filters, double_blaze_filters, is_5x5kernel
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def token2arch(self, tokens=None):
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blaze_filters, double_blaze_filters, is_5x5kernel = self.get_nas_cnf(
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tokens)
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self.print_nas_structure(tokens)
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def net_arch(input, mode, cfg):
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self.output_decoder = cfg.BlazeFace['output_decoder']
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self.min_sizes = cfg.BlazeFace['min_sizes']
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self.use_density_prior_box = cfg.BlazeFace['use_density_prior_box']
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my_backbone = BlazeNet(
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blaze_filters=blaze_filters,
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double_blaze_filters=double_blaze_filters,
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use_5x5kernel=is_5x5kernel)
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my_blazeface = BlazeFace(
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my_backbone,
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output_decoder=self.output_decoder,
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min_sizes=self.min_sizes,
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use_density_prior_box=self.use_density_prior_box)
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return my_blazeface.build(input, mode=mode)
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return net_arch
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def print_nas_structure(self, tokens=None):
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blaze_filters, double_filters, is_5x5kernel = self.get_nas_cnf(tokens)
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print('---------->>> BlazeFace-NAS structure start: <<<------------')
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print('BlazeNet:')
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print(' blaze_filters: {}'.format(blaze_filters))
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print(' double_blaze_filters: {}'.format(double_filters))
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print(' use_5x5kernel: {}'.format(is_5x5kernel))
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print(' with_extra_blocks: true')
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print(' lite_edition: false')
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print('---------->>> BlazeFace-NAS structure end! <<<------------')
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