# 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 unittest
import paddle.fluid as fluid
from nas.search_space_factory import SearchSpaceFactory

class TestSearchSpace(unittest.TestCase):
    def test_searchspace(self):
        # if output_size is 1, the model will add fc layer in the end.
        config = {'input_size': 224, 'output_size': 7, 'block_num': 5}
        space = SearchSpaceFactory()
        
        my_space = space.get_search_space('MobileNetV2Space', config)
        model_arch = my_space.token2arch()
        
        train_prog = fluid.Program()
        startup_prog = fluid.Program()
        with fluid.program_guard(train_prog, startup_prog):
            input_size= config['input_size']
            model_input = fluid.layers.data(name='model_in', shape=[1, 3, input_size, input_size], dtype='float32', append_batch_size=False)
            predict = model_arch(model_input)
            self.assertTrue(predict.shape[2] == config['output_size'])
            

        #for op in train_prog.global_block().ops:
        #    print(op.type)

if __name__ == '__main__':
    unittest.main()