DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. - Use `deepspeed.comm` instead of `torch.distributed` by jinyouzhi · Pull Request #5225 · microsoft/DeepSpeed
self.use_peft: bool = True self.output_dir: str = "output/save_models" self.freeze_llm: bool = True self.freeze_encoder: bool = True self.freeze_projector: bool = True self.find_unused_parameters: bool = False self.gradient_checkpoint: bool = False self.deepspeed_config: str = '/roo...
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. Traceback (most recent call last): File "/home/ma-user/work/pretrain/peft-baichuan2-13b-1/train.py", line 285, in <module> main() File "/home/ma-user/work/pretrain/peft-baichuan2-13b-1/train.py", line 268, ...
The recommended and most easy-to-use method to run the training experiments is to utilize the AzureML recipe. If you are running experiments on a custom environment built using Azure VMs or VMSS, please refer to the bash scripts we provide in Megatron-DeepSpeed....
Azure empowers easy-to-use, high-performance, and hyperscale model training using DeepSpeed Large-scale transformer-based deep learning models trained on large amounts of data have shown great results in recent years in several cognitive tasks and are behind new products and...
(model,block_types,p,use_deepspeed_ac):'''block_types: a list of nn.Module types to be checkpointedp: the fraction of the all blocks to be checkpointed'''block_idx=0cut_off=1/2# when passing p as a fraction number (e.g. 1/3), it will be interpreted# as a string in argv,...
deepspeed_train.py pipeline_parallelism train.py 2 changes: 1 addition & 1 deletion2BingBertSquad/nvidia_run_squad_deepspeed.py Original file line numberDiff line numberDiff line change Expand Up@@ -741,7 +741,7 @@ def set_optimizer_params_grad(named_params_optimizer, ...
The recommended and most easy-to-use method to run the training experiments is to utilize the AzureML recipe. If you are running experiments on a custom environment built using Azure VMs or VMSS, please refer to the bash scripts we provide in Megatron-DeepSpeed....
Customers can now useDeepSpeedon Azure with simple-to-use training pipelines that utilize either the recommended AzureMLrecipesor via bashscriptsforVMSS-based environments. As shown inFigure 2, Microsoft is taking a full stack optimization approach where all the necessary pieces incl...
deepspeed Merge branch 'master' into use-set-to-avoid-graph-break Mar 4, 2025 docker Update GH org references (deepspeedai#6998) Feb 5, 2025 docs Improve inference tutorial docs (deepspeedai#7083) Feb 27, 2025 examples Update GH org references (deepspeedai#6998) Feb 5, 2025 op_builder U...