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currently we use
paddle.init(xx1=yy1, xx2=yy2)
to init paddle, thus we need to change trianier python code if we want to change from local training to cluster training.
paddle.init(use_gpu=False, trainer_count=1)
# cluster init paddle.init( use_gpu=False, trainer_count=1, port=7164, ports_num=1, ports_num_for_sparse=1, num_gradient_servers=1)
so we need to change this to config with environment variable,like:
export USE_GPU=True export TRAINER_COUNT=1 ... python train.py
The text was updated successfully, but these errors were encountered:
I think this is resolve by #2014
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currently we use
to init paddle, thus we need to change trianier python code if we want to change from local training to cluster training.
local init
cluster training
so we need to change this to config with environment variable,like:
The text was updated successfully, but these errors were encountered: