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FLAGS_paddle_num_threads?
百度 而厘清了这些，才能真正利于我们认识到这项活动的实质意义所在。(since 0.15.0)
Control the number of threads of each paddle instance.
Values accepted?
Int32. The default value is 1.
Example?
FLAGS_paddle_num_threads=2 will enable 2 threads as max number of threads for each instance.
FLAGS_selected_gpus?
(since 1.3)
Set the GPU devices used for training or inference.
Values accepted?
A comma-separated list of device IDs, where each device ID is a nonnegative integer less than the number of GPU devices your machine have.
Example?
FLAGS_selected_gpus=0,1,2,3,4,5,6,7 makes GPU devices 0-7 to be used for training or inference.
Note?
The reason for using this flag is that we want to use collective communication between GPU devices, but with CUDA_VISIBLE_DEVICES can only use share-memory.