TensorFlow 建立多个模型导致的运行过慢问题
在 TensorFlow 里,如果反复编译调度多个模型,代码的运行速度会越来越慢。应该及时调用tf.keras.backend.clear_session()
进行资源释放。官方说明如下:
If you are creating many models in a loop, this global state will consume an increasing amount of memory over time, and you may want to clear it. Calling clear_session() releases the global state: this helps avoid clutter from old models and layers, especially when memory is limited.
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