def __init__(self, dataset, total_iter, batch_size, world_size=None, rank=None, last_iter=-1): if world_size is None: world_size = dist.get_world_size() if rank is None: rank = dist.get_rank() assert rank < world_size self.dataset = dataset self.total_iter = total_iter se...
# 需要導入模塊: from torch import distributed [as 別名]# 或者: from torch.distributed importget_world_size[as 別名]def_gather(rank, rows, columns):dest =0tensor = _get_tensor(rank, rows, columns)ifrank == dest: tensors_list = _get_zeros_tensors_list(rows, columns) logger.debug('Ran...
grad.to("cuda",non_blocking=True)torch.cuda.empty_cache()defoffload_optimizer(optimizer:torch.optim.Optimizer):optimizer.zero_grad()forparam_groupinoptimizer.param_groups:forparaminparam_group['params']:state=optimizer.state[param]forvalueinstate.values():ifisinstance(value,torch.Tensor):val Versio...
Create the model in Ollama ollama create example -f Modelfile Run the model ollama run example Import from PyTorch or Safetensors See the guide on importing models for more information. Customize a prompt Models from the Ollama library can be customized with a prompt. For example, to ...
换言之,在多GPU张量并行下,每张卡上 lm_head 的输出维度就不再是原来的 vocab_size 了,而是 vocab_size/#gpus。所以一种粗暴的解决办法就是把get_output_embeddings的输出改为 None 即可,如下: 代码语言:javascript 复制 defget_output_embeddings(self):returnNone # PretrainedModel.tie_weights 函数会将 lm_...
Tokenize the input text: using the tokenizer's __call__ method, passing the return_tensors="pt" argument to return PyTorch tensors. Pass the tokenized inputs: through the model using the model's __call__ method, storing the outputs. Access the desired outputs: from the model. In this...
How would you explain a tensor to a computer scientist? Determining wire gauge based on MCA and max fuse size When does this SSL expire? How to fill a triangle enclosed by three non-parallel lines at which direction do you apply thrust to perform an inclination change maneuver? Is ...
The new version supports mixed parallelism techniques from four-dimensional to five-dimensional, employing various parallel methods such as data parallelism, tensor model parallelism, pipeline parallelism, and grouped parameter slicing parallelism, effectively enhancing the training efficiency of large models....
world_size = dist.get_world_size()ifcoalesce: _allreduce_coalesced(grads, world_size, bucket_size_mb)else:fortensoringrads: dist.all_reduce(tensor.div_(world_size)) 开发者ID:open-mmlab,项目名称:mmdetection,代码行数:22,代码来源:dist_utils.py ...
https://files.catbox.moe/56mfvy.safetensors XL: https://files.catbox.moe/4tazo9.safetensors >Strength: 0.8+ >tamako, 1girl, short hair, purple hair, hair over one eye, red eyes, bangs, breasts, long coat, sailor collar, hat, beret, black headwear, necklace amulet >SD1.5: tamako,...