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test_sa_nas.py
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test_sa_nas.py
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# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import sys
sys.path.append("../")
import os
import sys
import unittest
import paddle
import paddle.fluid as fluid
from static_case import StaticCase
from paddleslim.nas import SANAS
from paddleslim.analysis import flops
import numpy as np
def compute_op_num(program):
params = {}
ch_list = []
for block in program.blocks:
for param in block.all_parameters():
if len(param.shape) == 4:
params[param.name] = param.shape
ch_list.append(int(param.shape[0]))
return params, ch_list
class TestSANAS(StaticCase):
def setUp(self):
paddle.enable_static()
self.init_test_case()
port = np.random.randint(8337, 8773)
self.sanas = SANAS(
configs=self.configs, server_addr=("", port), save_checkpoint=None)
def init_test_case(self):
self.configs = [('MobileNetV2BlockSpace', {'block_mask': [0]})]
self.filter_num = np.array([
3, 4, 8, 12, 16, 24, 32, 48, 64, 80, 96, 128, 144, 160, 192, 224,
256, 320, 384, 512
])
self.k_size = np.array([3, 5])
self.multiply = np.array([1, 2, 3, 4, 5, 6])
self.repeat = np.array([1, 2, 3, 4, 5, 6])
def check_chnum_convnum(self, program):
current_tokens = self.sanas.current_info()['current_tokens']
channel_exp = self.multiply[current_tokens[0]]
filter_num = self.filter_num[current_tokens[1]]
repeat_num = self.repeat[current_tokens[2]]
conv_list, ch_pro = compute_op_num(program)
### assert conv number
self.assertTrue((repeat_num * 3) == len(
conv_list
), "the number of conv is NOT match, the number compute from token: {}, actual conv number: {}".
format(repeat_num * 3, len(conv_list)))
### assert number of channels
ch_token = []
init_ch_num = 32
for i in range(repeat_num):
ch_token.append(init_ch_num * channel_exp)
ch_token.append(init_ch_num * channel_exp)
ch_token.append(filter_num)
init_ch_num = filter_num
self.assertTrue(
str(ch_token) == str(ch_pro),
"channel num is WRONG, channel num from token is {}, channel num come fom program is {}".
format(str(ch_token), str(ch_pro)))
def test_all_function(self):
### unittest for next_archs
next_program = fluid.Program()
startup_program = fluid.Program()
token2arch_program = fluid.Program()
with fluid.program_guard(next_program, startup_program):
inputs = fluid.data(
name='input', shape=[None, 3, 32, 32], dtype='float32')
archs = self.sanas.next_archs()
for arch in archs:
output = arch(inputs)
inputs = output
self.check_chnum_convnum(next_program)
### unittest for reward
self.assertTrue(self.sanas.reward(float(1.0)), "reward is False")
### uniitest for tokens2arch
with fluid.program_guard(token2arch_program, startup_program):
inputs = fluid.data(
name='input', shape=[None, 3, 32, 32], dtype='float32')
arch = self.sanas.tokens2arch(self.sanas.current_info()[
'current_tokens'])
for arch in archs:
output = arch(inputs)
inputs = output
self.check_chnum_convnum(token2arch_program)
### unittest for current_info
current_info = self.sanas.current_info()
self.assertTrue(
isinstance(current_info, dict),
"the type of current info must be dict, but now is {}".format(
type(current_info)))
if __name__ == '__main__':
unittest.main()