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from paddle.trainer_config_helpers import * settings( learning_rate=1e-3, batch_size=1000 ) img = data_layer(name='image', size=256*256) img_conv = img_conv_layer(input=img, num_channels=1, num_filters=64, filter_size=(32, 64), padding=(1, 0), stride=(1, 1), act=LinearActivation()) img_bn = batch_norm_layer(input=img_conv, act=ReluActivation()) img_norm = img_cmrnorm_layer(input=img_bn, size=32) img_pool = img_pool_layer(input=img_conv, pool_size=32, pool_type=MaxPooling()) outputs(img_pool, img_norm)