Function lotho_28_28

tools/tensorflow-quantization/tests/network_pool.py:226–234

()

def lotho_28_28():
    input_img = tf.keras.layers.Input(shape=(28, 28), name="input_0")
    r = tf.keras.layers.Reshape(target_shape=(28, 28, 1), name="reshape_0")(input_img)
    x = tf.keras.layers.DepthwiseConv2D(kernel_size=(3, 3), name="dconv_0")(r)
    x = tf.keras.layers.ReLU(name="relu_0")(x)
    x = tf.keras.layers.DepthwiseConv2D(kernel_size=(3, 3), name="dconv_1")(x)
    x = tf.keras.layers.ReLU(name="relu_1")(x)
    x = tf.keras.layers.Flatten(name="flatten_0")(x)
    return tf.keras.Model(input_img, x, name="Lotho")


def lobelia_28_28():