Comments (2)
We have already had that in our v0.2.1
releasae. Our current Megatron adaptor works with pipeline parallelism without extra modification.
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Closing due to lack of further response. Feel free to re-open if you have any progress.
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Related Issues (20)
- Ninja Build Stopped Subcommand Failed HOT 2
- module 'fmoe_cuda' has no attribute 'ensure_nccl' HOT 4
- Performance difference when replacing FFN with FMoETransformerMLP in transformer HOT 1
- NCCL Error at /home/xxx/fastmoe/cuda/global_exchange.cpp:127 value 5 HOT 2
- About balance loss HOT 3
- The top_k in Gshard seems to be one. HOT 3
- During inference, I need to run forward on CPU, so FMOE does not support CPU inference now? HOT 2
- fastmoe-master/build/temp.linux-x86_64-3.8/cuda/global_exchange.o: No such file or directory HOT 9
- 'Namespace' object has no attribute 'balance_strategy' HOT 2
- CUBLAS_STATUS_ARCH_MISMATCH HOT 2
- More GPU number than expert number HOT 5
- Is it necessary to use the synchronize operation after the allreduce operation here? HOT 1
- TypeError: linear_forward(): incompatible function arguments HOT 4
- MoE DDP + Expert Parallelism HOT 6
- Training on Single GPU gives NCCL error HOT 1
- Distributed Training is failing HOT 9
- Is there any plan to adapt to newer version of Megatron-LM? HOT 1
- Mixture of Expert in Vison Task (Segmentation ) HOT 2
- Only 204 unique tokens (vocabulary size) in enwik8 (transformer-XL example) HOT 3
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