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...
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, ...
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...
For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 解决方案: cuda,device的指定出错
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...
Launching training using DeepSpeed 🤗 Accelerate supports training on single/multiple GPUs using DeepSpeed. To use it, you don't need to change anything in your training code; you can set everything using just accelerate config. However, if you desire to tweak your DeepSpeed related args from...
help='Use Torch Adam as optimizer on CPU.') group.add_argument('--ds_fused_adam', action='store_true', help='Use DeepSpeed FusedAdam as optimizer.') group.add_argument('--no-pipeline-parallel', action='store_true', help='Disable pipeline parallelism') group.add_argument('--use-tutel...
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 in...
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 i...
Model * GPU size memory required for tensor parallel inference and it does not reduce latency Are there any plans to support it?