Comments (2)
There is no timeline yet. Async training and fault tolerance will probably come earlier than that.
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Closing this issue. Feel free to reopen for more discussions.
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Related Issues (20)
- Stuck in the bps.init(). HOT 7
- Is it right to do allreduce immediately for non-zero ranks in bytescheduler? HOT 2
- 啥时候支持sparse模型?
- 有计划支持纯cpu吗?我们worker也用cpu机器的 HOT 2
- benchmark with cross barrier error
- Successfully installed BytePS but cannot import byteps.torch or byteps.tensorflow HOT 2
- Running multiple workers on a single GPU machine
- Release BytePS docker image support for TF2
- 安装报错 HOT 1
- Communication failure in MXNet with BytePS HOT 3
- support for fault tolerance and straggler mitigation
- broadcast and is_initialized api are not supported with pytorch.
- Supported environment
- 安装问题
- Mistakes of Workload calculation HOT 5
- How does the tensorflow scheduler plugin used in the tf_benchmark_cnn.py HOT 1
- segmentation fault while launching the worker HOT 1
- Is there any benchmark comparison with Megatron-LM ?
- 支持的cuda和pytorch版本
- install failed
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