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TensorflowEager的查看关闭开启
2022-04-21 09:48:00 【GodGump】
tensorflow2.0默认是Eager execution模式,为什么要用这个模式呢?
开启这个模式以后:
1.numpy的操作可以接受Tensor作为参数(一般情况下,python和numpy的arrays会被转换成Tensor)
2.一切皆函数,无须手动搭建tensorflow数据结构
状态查看代码
tf.compat.v1.executing_eagerly()
关闭与启动eager模式
关闭:
tf.compat.v1.disable_eager_execution()
开启:
tf.compat.v1.enable_eager_execution()
版权声明
本文为[GodGump]所创,转载请带上原文链接,感谢
https://blog.csdn.net/GodGump/article/details/124307891
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