Efficientnet-b0-b3 implementation

[dragen1860]

Dear author:
thanks to your concise and useful implementation. Compared to the official messy tpu version, yours is realy easy to follow!
But a trivial question in my head. I found in effnet.py, you implement the efficientnet-b0 in just several lines of code:

    x_input = tf.keras.layers.Input(shape=input_shape)
    x = get_block(x_input, 32, 64)
    x = get_block(x, 64, 128)
    x = get_block(x, 128, 256)
    x = tf.keras.layers.Flatten()(x)
    x = tf.keras.layers.Dense(num_classes, activation='softmax')(x)
    model = tf.keras.models.Model(inputs=x_input, outputs=x)

May I ask is there any difference between your implmentation and the official implementation? Can you give a pretrained weights file? thank you.