from paddle.trainer_config_helpers import *

settings(
    batch_size=1000,
    learning_rate=1e-5
)

data = data_layer(name='data', size=2304)

conv = img_conv_layer(input=data,
                      filter_size = 3,
                      num_channels=1,
                      num_filters=16,
                      padding=1,
                      act=LinearActivation(),
                      bias_attr=True)

bilinear = bilinear_interp_layer(input=conv,
                                 img_size_x=32,
                                 img_size_y=32,
                                 out_size_x=64,
                                 out_size_y=64,
                                 num_channels=16)

pool = img_pool_layer(input=bilinear,
                      num_channels=4,
                      pool_size=2,
                      stride=2,
                      pool_type=MaxPooling())

fc = fc_layer(input=pool, size=384, bias_attr=False)

outputs(fc)