My model has batch norm module (using apex.fused_layer_norm) Sure, I use fp16 and get the result that fsdp has lower accuracy than ddp+apex. I think the amp is same probably. The explain from torch/distributed/fsdp/fully_sharded_data_parallel.py is follow. According the explain fsdp di...
首先回顾一下ZeRO-DP,根据切分的model states不同,ZERO可以分成3个阶段:ZeRO1(只对optimizer states切分);ZERO2 (对optimizer states和gradients切分),ZERO3(对optimizer states,gradients,parameters切分); 相应的,FSDP包括了NO_SGARD(等效于DDP);SHARD_GRAD_OP(对标ZeRO2);FULL_SHARD (对标ZeRO3);HYBRID_SHARD(...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - Use device-agnostic runtime API in distributed DDP/FSDP instead of `cuda` device specific. · pytorch/pytorch@5fccd83
trl-ddpo.md trl-peft.md unity-api.md unity-asr.md unity-in-spaces.md unsloth-trl.md us-national-ai-research-resource.md using-ml-for-disasters.md vision-transformers.md vision_language_pretraining.md vit-align.md vq-diffusion.md warm-starting-encoder-decoder.md ...
We compare the performance of Distributed Data Parallel (DDP) and FSDP in various configurations. First, GPT-2 Large(762M) model is used wherein DDP works with certain batch sizes without throwing Out Of Memory (OOM) errors. Next, GPT-2 XL (1.5B) model is used wherein DDP fails with ...
Next, GPT-2 XL (1.5B) model is used wherein DDP fails with OOM error even on batch size of 1. We observe that FSDP enables larger batch sizes for GPT-2 Large model and it enables training the GPT-2 XL model with decent batch size unlike DDP. Hardware setup: 2X24GB NVIDIA Titan ...
First, GPT-2 Large(762M) model is used wherein DDP works with certain batch sizes without throwing Out Of Memory (OOM) errors. Next, GPT-2 XL (1.5B) model is used wherein DDP fails with OOM error even on batch size of 1. We observe that FSDP enables larger batch sizes for GPT-...
trl-ddpo.md trl-peft.md unity-api.md unity-asr.md unity-in-spaces.md unsloth-trl.md us-national-ai-research-resource.md using-ml-for-disasters.md vision-transformers.md vision_language_pretraining.md vit-align.md vq-diffusion.md warm-starting-encoder-decoder.md wav2...
trl-ddpo.md trl-peft.md trufflesecurity-partnership.md unified-tool-use.md unity-api.md unity-asr.md unity-in-spaces.md unsloth-trl.md unsung-heroes.md us-national-ai-research-resource.md using-ml-for-disasters.md video-encoding.md vision-transformers.md vision_language_pretr...
111_pytorch_ddp_accelerate_transformers 112_document-ai 112_evaluating-llm-bias 113_openvino 114_pricing-update 115_introducing_contrastive_search 116_audio_datasets 116_inference_update 117_vq_diffusion 118_time-series-transformers 119_deep_learning_with_proteins 11_zero_deep...