cifar10_cnn_mgpu_dflow.py 文件源码

def make_model_small(inshape, num_classes, weights_file=None):
    '''Small model for debugging device placements.'''
    model = Sequential()
    model.add(KL.InputLayer(input_shape=inshape[1:]))
    model.add(KL.Conv2D(32, (3, 3), padding='same'))
    model.add(KL.Activation('relu'))
    model.add(KL.Flatten())
    # model.add(Dropout(0.5))
    model.add(KL.Dense(num_classes))
    model.add(KL.Activation('softmax'))

    if weights_file is not None and os.path.exists(weights_file):
        model.load_weights(weights_file)

    return model