I am trying to run a code on TX2 but the tensorflow code that allocates GPU memory usage seems to be working in a weird manner.

Here's the code I have to allocate memory:

config = tf.ConfigProto()
config.gpu_options.per_process_gpu_memory_fraction = 0.0
config.gpu_options.visible_device_list = "0"
set_session(tf.Session(config=config))

The weird thing is, when I use 0.0 instead of 0.5, the processing is faster. And when I use 0.9, I get the following error:

tensorflow.python.framework.errors_impl.InternalError: GPU sync failed

What's happening here?

0 Answers