) tokenizer = AutoTokenizer.from_pretrained(local_model_path) # Merge base model with the adapter model = PeftModel.from_pretrained(base_model, final_checkpoint) model = model.merge_and_unload() # Save model
Vendor Name: AMD Feature: KERNEL_DISPATCH Profile: BASE_PROFILE Float Round Mode: NEAR Max Queue Number: 128(0x80) Queue Min Size: 64(0x40) Queue Max Size: 131072(0x20000) Queue Type: MULTI Node: 2 Device Type: GPU Cache Info: L1: 16(0x10) KB L2: 2048(0x800) KB L3: 32768(0x...
然后在打开的文件里的末尾新增四条命令,具体操作是:按住大写G键跳转到文本的最后一行行首,再按住$跳转到最后一行的最后一个字符,按住i键进入插入模式,使光标右移一个字符,再回车换行后,添加以下变量 # CUDA# cuda -> cuda9.1export PATH=/usr/local/cuda/bin${PATH:+:${PATH}}# include -> targets/x86_64...
# PIL.Image -> torch.Tensorpath = r'./figure.jpg'tensor = torch.from_numpy(np.asarray(PIL.Image.open(path))).permute(2,0,1).float() / 255tensor = torchvision.transforms.functional.to_tensor(PIL.Image.open(path)) # Equivalently way np.ndarray与PIL.Ima...
Downloading: "https://download.pytorch.org/models/vgg16-397923af.pth" to C:\Users\SJN/.cache\torch\checkpoints\vgg16-397923af.pth 100.0% 1. 2. VGG16原始模型 VGG( (features): Sequential( (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (1): ReLU(...
torch.onnx.dynamo_exportnow uses the ExportedProgram logic path (#137296) Users using thetorch.onnx.dynamo_exportAPI may see someExportOptionsbecome unsupported due to an internal switch to usetorch.onnx.export(..., dynamo=True):diagnostic_options,fake_contextandonnx_registryare removed/ignored...
save(net.state_dict(), save_path) print('Finished Training') if hasattr(torch.cuda, 'empty_cache'): torch.cuda.empty_cache() if __name__ == '__main__': main() 2.3.6 完整代码 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import os import sys import json import torch ...
lru_cache(1) # ❶ def getCandidateInfoList(requireOnDisk_bool=True): # ❷ mhd_list = glob.glob('data-unversioned/part2/luna/subset*/*.mhd') presentOnDisk_set = {os.path.split(p)[-1][:-4] for p in mhd_list} ❶ 标准库内存缓存 ❷ requireOnDisk_bool 默认筛选掉尚未就位的...
其中${install_path}为3.中配置的gcc7.5.0安装路径,本示例为“/usr/local/gcc7.5.0/“。 说明: 本步骤为用户在需要用到gcc升级后的编译环境时才配置环境变量。 若存在pytorch编译不过,请检查软连接的库是否正确。 libstdc++->libstdc++.so.6.0.24(7.5.0) 找不到libblas.so问题 环境缺少openblas库,需要安装...
[index] if self.cache : # 保存到缓存里 self.data[index] = data return data,self.meta_data[index],self.data_label[index] def img2xarray(self,file_path): # 读取指定路径的数据 frame_list = [] # 存放图片数据 imgs = sorted(list(os.listdir(file_path))) for _img in imgs : # ...