前些日子DeepSpeed冷不丁地捯饬出了个v0.16.8版本，初听耳生，细究之下，这货居然能让CPU硬着头皮加速跑FP16这种高阶玩意儿，还直接跟PyTorch 2.7无缝衔接了。这感觉就像，你寻思着你的老古董机只能刷刷网页，冷不丁发现它也能顺溜地跑最新的3A大作了。这事儿初看，兴许只是码农们的小确幸，但抽丝剥茧地...
结语DeepSpeed v0.16.8版本的发布无疑为深度学习开发者和生产部署者注入了新的活力。通过对CPU端FP16的支持、PyTorch 2.7升级和多平台适配，本次更新在提升性能和增强生态兼容性的道路上迈出了坚实一步。无论是科研尝试还是商业落地，拥抱DeepSpeed最新版本都将带来更高效、更稳定、更智能的训练体验。欢迎大家访问官...
1.fp16: 这部分配置与半精度浮点数(16位浮点数)计算相关。它有助于加快训练速度,同时减少内存使用。 enabled: 是否启用半精度浮点数。 autocast: 是否自动将数据类型转换为半精度。 loss_scale: 损失缩放值,用于防止半精度下的数值下溢。 loss_scale_window: 调整损失缩放值的窗口大小。 initial_scale_power: 损...
if self.fp16_enabled() and not get_accelerator().is_fp16_supported(): Copy link Contributor tjruwaseDec 21, 2023 Can you please move this into_do_sanity_check()? Sorry, something went wrong. Copy link ContributorAuthor nelyahuDec 24, 2023 ...
{'weight_quantization': {'shared_parameters': {'enabled': False, 'quantizer_kernel': False, 'schedule_offset': 0, 'quantize_groups': 1, 'quantize_verbose': False, 'quantization_type': 'symmetric', 'quantize_weight_in_forward': False, 'rounding': 'nearest', 'fp16_mixed_quantize': ...
Mixed precision type: fp16 ds_config: {'train_batch_size':'auto','train_micro_batch_size_per_gpu':'auto','gradient_accumulation_steps': 1,'zero_optimization': {'stage': 2,'offload_optimizer': {'device':'cpu','nvme_path': None},'offload_param': {'device':'cpu','nvme_path': ...
==>> Solution: just add .long() to change the type of that variable, according to https:///fastai/fastai/issues/71. 14. RuntimeError: multi-target not supported at /pytorch/aten/src/THCUNN/generic/:16 File "run_train.py", line 150, in train_gcnTracker loss_train = F.nll_loss...
--fp16 save Conv's weight/bias in half_float data type --benchmarkModel Do NOT save big size data, such as Conv's weight,BN's gamma,beta,mean and variance etc. Only used to test the cost of the model --bizCode arg MNN Model Flag, ex: MNN ...
the number of microbatches in the pipeline (computed asGLOBAL_BATCH_SIZE / (DATA_PARALLEL_SIZE * MICRO_BATCH_SIZE)) should be divisible by thePIPELINE_MP_SIZEwhen using this schedule (this condition is checked in an assertion in the code). The interleaved schedule is not supported for pipeli...
File "/home/miniconda3/lib/python3.8/site-packages/transformers/pipelines/fill_mask.py", line 193, in __call__ probs = logits.softmax(dim=-1) RuntimeError: "softmax_lastdim_kernel_impl" not implemented for 'Half' The root cause of this error is in PyTorch softmax FP16 support and ...