# PIL.Image -> torch.Tensorpath = r'./figure.jpg'tensor = torch.from_numpy(np.asarray(PIL.Image.open(path))).permute(2,0,1).float() / 255tensor = torchvision.transforms.functional.to_tensor(PIL.Image.open(path)) # Equivalently way np....
) tokenizer = AutoTokenizer.from_pretrained(local_model_path) # Merge base model with the adapte...
Path-2: 从[T, C] reduce到[C]。 PyTorch中相应的kernel如下: intnum_threads=at::get_num_threads();Tensorbuffer=at::empty({num_threads,n_channel},input.options()).zero_();scalar_t*buffer_data=buffer.data_ptr<scalar_t>();// compute mean per inputat::parallel_for(0,N,1,[&](int64...
save( state_dict={"model": model.state_dict()}, checkpoint_id="path_to_model_checkpoint" ) # ... dcp.load( state_dict={"model": model.state_dict()}, checkpoint_id="path_to_model_checkpoint" )Remove deprecated tp_mesh_dim arg (#121432)...
sudo yum install kernel-devel-$(uname -r) kernel-headers-$(uname -r) 1. 禁用第三方开源驱动nouveau Nouveau是由第三方为NVIDIA显卡开发的一个开源3D驱动,不过没有得到NVIDIA的认可与支持。Nouveau让Linux更容易的应对各种复杂的NVIDIA显卡环境,让用户安装完系统即可进入桌面并且有不错的显示效果,所以,很多Linux...
utils\path.py ... (之前代码后加入) # mydataset pets PETS_path = os.path.join(DATAPATH, 'data', 'pet') 1. 2. 3. 4. 工具包加入collate.py utils\collate.py import torch import numpy as np def collate(data): imgs = [] annots = [] for d in data: img, annot = d imgs.append...
save(net.state_dict(), save_path) print('Finished Training') if hasattr(torch.cuda, 'empty_cache'): torch.cuda.empty_cache() if __name__ == '__main__': main() 2.3.6 完整代码 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import os import sys import json import torch ...
lru_cache(1) # ❶ def getCandidateInfoList(requireOnDisk_bool=True): # ❷ mhd_list = glob.glob('data-unversioned/part2/luna/subset*/*.mhd') presentOnDisk_set = {os.path.split(p)[-1][:-4] for p in mhd_list} ❶ 标准库内存缓存 ❷ requireOnDisk_bool 默认筛选掉尚未就位的...
Fix error on importing from deprecated path timm.models.registry, increased priority of existing deprecation warnings to be visible Port weights of InternViT-300M (https://huggingface.co/OpenGVLab/InternViT-300M-448px) to timm as vit_intern300m_patch14_448 Oct 14, 2024 Pre-activation (ResNet...
model=transformers.AutoModelForCausalLM(model_name_or_path).eval()dtype=torch.bfloat16 model=ipex.llm.optimize(model, dtype=dtype)# inference with model.generate()... To further reduce the memory footprint of model weights, int8, which only occupies 8 bits, can be used when slight ...