3、实例化模型 # Instantiate model.init_contexts=[no_init_weights(_enable=_fast_init)]ifis_deepspeed_zero3_enabled():importdeepspeedlogger.info("Detected DeepSpeed ZeRO-3: activating zero.init() for this model")init_contexts=[deepspeed.zero.Init(config_dict_or_path=deepspeed_config())]+init_...
DeepSpeed Zero-3 和 low_cpu_mem_usage=true 的不兼容可能是由于两者在内存管理和数据传输方面的不同策略导致的。具体来说: DeepSpeed Zero-3 依赖于高效的内存管理和数据传输来最大化性能,这通常包括在 CPU 和 GPU 之间频繁且大量的数据传输。 low_cpu_mem_usage=true 则试图通过减少 CPU 上的内存占用来优化...
DeepSpeed does not implement model parallelism but is compatible with existing forms like tensor slicing and pipeline parallelism. However, zero stage 3 should reduce per-gpu memory consumption of model parameters and optimizer state. Offloading should also reduce gpu memory consumption by moving ...
deepspeed config to reproduce: { "bf16": { "enabled": "auto" }, "optimizer": { "type": "AdamW", "params": { "lr": "auto", "betas": "auto", "eps": "auto", "weight_decay": "auto" } }, "zero_optimization": { "stage": 3, "offload_optimizer": { "device": "cpu", ...
(2) DeepSpeed ZeRO-3 Offload - DeepSpeed. DeepSpeed ZeRO-3 Offload Accessed 3/21/2023. (3) DeepSpeed: Extreme-scale model training for everyone. DeepSpeed: Extreme-scale model training for everyone - Microsoft Research Accessed 3/21/2023. ...
) with a learning rate of 1e-03. For our main model, we trained 65,536 tokens per batch (128 GPUs × 512 tokens). A batch size of 8 per device was used, totaling 1024. The model trained on 128 NVIDIA A100s in 4 days. Parallelism of the model was handled with DeepSpeed69....
一、问题现象(附报错日志上下文):推理llama270b的时候 ValueError: You asked to pad the vocabulary to 32000 when the ini...
Error: DeepSpeed Zero-3 is not compatible withlow_cpu_mem_usage=Trueor with passing adevice_map#24 Open Description jasel-lewis @poojak13Wonderful! Any help isgreatlyappreciated, thank you... FYSA@shieldsjared Sign up for freeto join this conversation on GitHub.Already have an account?Sign ...
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. - microsoft/DeepSpeed
Doing so will maketests/deepspeed/test_deepspeed.py::TestDeepSpeedWithLauncher::test_basic_distributed_zero3_fp16fail, with the same error as stated. Please try running with:CUDA_VISIBLE_DEVICES="0,1" RUN_SLOW="yes" ACCELERATE_USE_DEEPSPEED="yes" pytest -sv tests/deepspeed/test_deepspeed.py...