RuntimeError: CUDA out of memory. Tried to allocate 12.00 MiB (GPU 0; 6.00 GiB total capacity; 3.91 GiB already allocated; 0 bytes free; 4.57 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation...
Initial GPU memory usage: 0.0% (0 out of 16130) 0: GPU memory usage after loading training objects: 14.7% (2377 out of 16130) 0: GPU memory usage after training model: 70.8% (11415 out of 16130) 0: GPU memory usage after clearing cache: 41.8% (6741 out of 16130) 1: GPU memory ...
# You can lower your batch size if you're running out of GPU memory batch_size =64 # Define data augmentations preprocess = transforms.Compose ( [ transforms.Resize((image_size, image_size)), # Resize transforms.RandomHorizontalFlip(), # Randomly flip (data augmentation) transforms.ToTensor(...
2) def forward(self,input_ids,attention_mask,token_type_ids): with torch.no_grad(): # 先拿预训练模型做一个计算,抽取数据中的特征, out = pretrained(input_ids=input_ids, attention_mask=attention_mask, token_type_ids=token_type_ids) # 把抽取的特征...
因此,可以通过设置max_memory参数的存储空间映射,来防止out-of-memory错误出现。另外,如果有这样的需求,一些操作的输出需要在GPU上运行(例如generate函数来生成文本),或者将输入放到GPU上,那么在某个GPU上需要留一些显存(Accelerate会将输出返回作为一些设备的输入)。又如果需要优化最大的批尺寸以及有...
1.如果内存问题仍然存在,您可以选择DistillGPT2,因为它的网络参数减少了33%(前向传递速度也是两倍)。
1.如果内存问题仍然存在,您可以选择DistillGPT2,因为它的网络参数减少了33%(前向传递速度也是两倍)。
# position_ids (1, len position emb) is contiguous in memory and exported when serialized self.position_embedding_type = getattr(config, "position_embedding_type", "absolute") self.register_buffer("position_ids", torch.arange(config.max_position_embeddings).expand((1, -1))) ...
数字2,代表的是key和value;【直观理解的话:即,把新增加的30个虚拟tokens,作为memory了;原来的prompt作为query】 数字1024,代表的是维度为1024。 如此,就得到了一个“包括了所有的可训练参数”的网络: ipdb>selfPrefixEncoder((embedding):Embedding(30,49152)) ...
You can use the commands below to start chatting. It will automatically download the weights from Hugging Face repos. See more command options and how to handle out-of-memory in the "Inference with Command Line Interface" section below. ...