from deepspeed.acceleratorimportget_accelerator...# load model checkpoint into modelmodel=model.eval().to(get_accelerator().device_name())ds_world_size=int(os.getenv('WORLD_SIZE','0'))engine=deepspeed.init_inference(model=model, mp_size=ds_world_size, \ dtype=torch.bfloat16, replace_method...
When using multiple models, a DeepSpeed plugin should be created for each model (and as a result, a separate config). a few examples are below: Knowledge distillation (Where we train only one model, zero3, and another is used for inference, zero2) from accelerate import Accelerator from ac...
mps import MPSAccelerator from lightning.fabric.strategies.deepspeed import _DEEPSPEED_AVAILABLE from lightning.fabric.utilities.imports import _TORCH_GREATER_EQUAL_2_1 def _runif_reasons( Expand Down Expand Up @@ -116,13 +115,9 @@ def _runif_reasons( reasons.append("Deepspeed") if dynamo: if...
[2023-07-06 02:48:19,051] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect) [2023-07-06 02:48:19,644] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented ...
What happened + What you expected to happen python3 deepspeed_torch_trainer.py [2023-09-08 19:45:02,156] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect) ===BUG...
if accelerator.is_main_process: if args.track: import wandbwandb.init( project=args.wandb_project_name, entity=args.wandb_entity, sync_tensorboard=True, config=asdict(args), name=args.run_name, save_code=True, ) file_extensions = [".toml", ".lock", ".py", ".sh", ".yaml"] ...
RuntimeError: Failed to import transformers.trainer because of the following error (look up to see its traceback): Can't instantiate abstract class MPS_Accelerator with abstract methods supported_dtypes Running transformers-cli env gives the following output: Traceback (most recent call last): Fi...
accelerator = Accelerator(kwargs_handlers=[InitProcessGroupKwargs(timeout=timedelta(seconds=6 * 1800))]) and run the training 3. Get crash due to timeout: https://wandb.ai/evgeniizh/huggingface/runs/pskgg48d [E ProcessGroupNCCL.cpp:475] [Rank 1] Watchdog caught collective operation time...
train_data = get_data_by_l_version(trainer=trainer, args=args)if "deepspeed" in args.strategy: trainer.strategy.config["zero_optimization"]["allgather_bucket_size"] = args.ds_bucket_mb * 1000 * 1000 trainer.strategy.config["zero_optimization"]["reduce_bucket_size"] = args.ds_bucket_mb...
self.accelerator.prepare( File "/home/user1/.pyenv/versions/3.10.0/lib/python3.10/site-packages/accelerate/accelerator.py", line 1219, in prepare result = self._prepare_deepspeed(*args) File "/home/user1/.pyenv/versions/3.10.0/lib/python3.10/site-packages/accelerate/accelerator.py", line ...