LiBai v0.2.0 Release
v0.2.0 (07/07/2022)
New Features:
- Support evaluation enabled and set
eval_iter
- Support customized sampler in
config.py
- Support rdma for pipeline-model-parallel
- Support multi fused kernel
- fused_scale_mask_softmax_dropout
- fused_scale_tril_softmax_mask_scale
- fused_self_attention in branch
libai_bench
- User Experience Optimization
- Optimization for training throughput, see benchmark for more details
New Supported Models: