我按照以下的文档进行多卡部署了。多卡部署 如果你有多张 GPU,但是每张 GPU 的显存大小都不足以容纳完整的模型,那么可以将模型切分在多张GPU上。首先安装 accelerate: pip install accelerate,然后通过如下方法加载模型: from utils import load_model_on_gpus model =
import signal from transformers import AutoTokenizer, AutoModel import readline from utils import load_model_on_gpus tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True) model = AutoModel.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True, device='cu...
# 需要導入模塊: from keras import models [as 別名]# 或者: from keras.models importmodel_from_yaml[as 別名]defload_model(self):print('Loading model ...')# check existence of paramsassertos.path.exists(self.model_folder),'model_fold is not found: {}'.format(self.model_folder)assertself...
valid_loader=torch.utils.data.DataLoader(valid_dataset,batch_size=batch_size,sampler=valid_sampler)return(train_loader,valid_loader)train_loader,valid_loader=data_loader(data_dir='./data',batch_size=64)test_loader=data_loader(data_dir='./data',batch_size=64,test=True) Copy ResNet from Scrat...
Further, we will then stake the first 9,000 of those as examples for training and the remaining 1,000 examples to test the fit model. Below is the complete example of loading the clean data, splitting it, and saving the split portions of data to new files. from pickle import load from...
the model I want to convert is OpenAIGPTLMHeadModel, I can only put one link, but you can cheack it from huggingface Environment TensorRT Version: 8.2.5.1 GPU Type: RTX 3060 Nvidia Driver Version: 497.38 CUDA Version: 11.5.1 CUDNN Version: 8.2.1.32 ...
I0617 16:55:05.623985 1 grpc_server.cc:128] Ready for RPC 'RepositoryModelLoad', 19 I0617 16:55:05.624300 1 model_config_utils.cc:646] Server side auto-completed config: name: "hfmodel__isvc-c929c19851" platform: "pytorch_libtorch" ...
Now, let’s start training our model: # We use the pre-defined number of epochs to determine how many iterations to train the network onforepochinrange(num_epochs):# Load in the data in batches using the train_loader objectfori,(images,labels)inenumerate(train_loader):# Move tensors to...
Create utils.h insycl/src/cuda #ifndefUTILS_H#defineUTILS_H#include<xpu/Macros.h>#include<xpu/Stream.h>#include<c10/core/Device.h>inlinesycl::queue&getCurrentXPUQueue(){autodevice_type=c10::DeviceType::XPU;c10::impl::VirtualGuardImplimpl(device_type);c10::Stream dpcpp_s...
"src/core/lib/transport/error_utils.cc","file_line":167,"grpc_status":14}]}" > During handling of the above exception, another exception occurred: Traceback (most recent call last): File "gcn.py", line 11, in <module> graph = load_cora() File "/home/sanzo/software/miniconda/4.12...