Comments (1)
Early experimental result show that the use of share-memory channel do not bring performance benefits over domain sockets because most of tensors are big.
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Related Issues (20)
- bert demo question HOT 4
- panic error HOT 3
- When using the config-server, if you call allgather api, it will block.
- After remove the worker from the cluster, it is better to set the rank id to -1. HOT 3
- Elastic hook can't support training from checkpoint.
- Support real global batch normalisation HOT 2
- Inconsistency detected by ld.so
- failed to establish connection to the newly runner HOT 5
- the kungfu-job is hang when it scale down HOT 2
- kungfu job is hang in a inconsistent version when i scale down/up mutiple times HOT 14
- Performance drops when TensorFlow experimental XLA JIT is enabled. HOT 6
- [doc] request parameters doc when the -init-version=-1 HOT 5
- use a dedicated thread for NCCL operations
- Access to Adaptive Batch Size Policy
- Is Windows supported?
- Error from pytoch demo HOT 1
- code loss HOT 2
- A question about Horovod central coordinator in the paper of KungFu HOT 2
- With PairAveragingOptimizer, is it possible that two workers in different iterations average their models? HOT 1
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