compress.py 文件源码

def cout_zeros():
    zeros_num = 0.
    all_num = 0.
    for v in tf.trainable_variables():
        zeros_num += tf.reduce_sum(tf.to_float(tf.less(tf.abs(v), tf.ones_like(v) * 0.0001)))  # ??0???
        all_num += tf.reduce_sum(tf.ones_like(v))
    return [zeros_num, all_num]
        #????