What's the difference between tf.Session() and tf.InteractiveSession()?

Question

In which cases should tf.Session() and tf.InteractiveSession() be considered for what purpose?

When I tried to use the former one, some fun

Answer 1

On the top of installing itself as default session as per official documentation, from some tests on memory usage, it seems that the interactive session uses the gpu_options.allow_growth = True option - see [using_gpu#allowing_gpu_memory_growth] - while tf.Session() by default allocates the whole GPU memory.