Comments (1)
The code needs at least one gpu to support multiple virtual workers. You may try to replace this line by with tf.device('/cpu:0 ):
and see if it would work or not.
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Related Issues (14)
- I HOT 1
- speedup using floating point HOT 1
- Why we have to build tensorflow from source? HOT 4
- If I don't want to use terngrad,does setting FLAGS.floating_grad_epoch=1 is all I need to do?
- decode_from_ternary_gradients
- Run TernGrad in multiple machines for distributed training
- ./build_all.sh `GLIBCXX_3.4.21' not found HOT 1
- Error: double free or corruption (!prev): 0x0000000000c6c780 HOT 3
- error
- ExponentialMovingAverage not found in checkpoint HOT 3
- Can't find the code of formula (1) of Terngrad paper HOT 1
- looking forward to the terngrad in distributed-mode HOT 1
- Communication in distributed training HOT 2
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