超详细Linux下安装node.js环境并安装淘宝镜像

当当1024

于 2023-03-17 23:28:56 发布

阅读量547

点赞数

文章标签： linux ubuntu 运维

版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。

本文链接：https://blog.youkuaiyun.com/duolaameng12138/article/details/129629980

版权

本文介绍了在Ubuntu系统中如何详细安装Node.js，包括创建nodejs目录、下载安装包、解压并移动文件、删除多余文件，以及设置全局软链接。同时，还指导了如何安装淘宝npm镜像以提升国内网络的安装速度，最后验证了安装和镜像配置的成功。

摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >

首先进入/usr/local文件夹，在下面新建一个名为nodejs的文件夹

cd /usr/local
mkdir nodejs

下载nodejs压缩包（注意下载的是Linux安装包）

wget https://nodejs.org/dist/v12.14.0/node-v12.14.0-linux-x64.tar.gz

最低0.47元/天解锁文章

博客等级

码龄6年

8
原创

1
点赞

3
收藏

0
粉丝

关注

私信

热门文章

分类专栏

java 1篇

展开全部收起

上一篇：: 数字黑洞“123”

最新评论

数字黑洞“123”
2301_78528274: (1): Block( (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=512, out_features=1536, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=512, out_features=512, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=2048, out_features=512, bias=True) (drop): Dropout(p=0.0, inplace=False) ) )
数字黑洞“123”
2301_78528274: File "/home/OD02/PycharmProjects/vit/vision_transformer/utils.py", line 5928, in evaluate pred = model(images.to(device)) File "/home/OD02/anaconda3/envs/pytorch_3.7/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl return forward_call(*input, **kwargs) File "/home/OD02/PycharmProjects/vit/vision_transformer/vit_model.py", line 451, in forward x = self.forward_features(x,y,z) File "/home/OD02/PycharmProjects/vit/vision_transformer/vit_model.py", line 416, in forward_features y = self.patch_embed(y) File "/home/OD02/anaconda3/envs/pytorch_3.7/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl return forward_call(*input, **kwargs) File "/home/OD02/PycharmProjects/vit/vision_transformer/vit_model.py", line 78, in forward B, C, H, W = x.shape AttributeError: 'int' object has no attribute 'shape' Process finished with exit code 1
数字黑洞“123”
2301_78528274: [train epoch 0] loss: 0.768, acc: 0.036: 22%|██▏ | 225/1036 [00:12<00:40, 20.22it/s]
数字黑洞“123”
2301_78528274: Traceback (most recent call last): File "/home/OD02/PycharmProjects/vit/vision_transformer/train.py", line 148, in <module> main(opt) File "/home/OD02/PycharmProjects/vit/vision_transformer/train.py", line 105, in main epoch=epoch) File "/home/OD02/anaconda3/envs/pytorch_3.7/lib/python3.7/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context return func(*args, **kwargs) File "/home/OD02/PycharmProjects/vit/vision_transformer/utils.py", line 5928, in evaluate pred = model(images.to(device)) File "/home/OD02/anaconda3/envs/pytorch_3.7/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl return forward_call(*input, **kwargs) TypeError: forward() missing 2 required positional arguments: 'y' and 'z' Process finished with exit code 1
数字黑洞“123”
2301_78528274: /home/OD02/anaconda3/envs/pytorch_3.7/lib/python3.7/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1670525496686/work/aten/src/ATen/native/TensorShape.cpp:3190.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] Traceback (most recent call last): File "/home/OD02/PycharmProjects/vit/vision_transformer/train.py", line 142, in <module> main(opt) File "/home/OD02/PycharmProjects/vit/vision_transformer/train.py", line 65, in main model = create_model(num_classes=10).to(device) File "/home/OD02/PycharmProjects/vit/vision_transformer/vit_model.py", line 468, in vit_base_patch16_64_in21k num_classes=num_classes) File "/home/OD02/PycharmProjects/vit/vision_transformer/vit_model.py", line 370, in __init__ self.pos_embed = create_2d_absolute_sincos_embeddings(img_size//patch_size, img_size//patch_size, e

大家在看

最新文章

目录

展开全部

收起

评论

被折叠的条评论为什么被折叠?

到【灌水乐园】发言

查看更多评论

添加红包

成就一亿技术人!

hope_wisdom

发出的红包

实付元

使用余额支付

点击重新获取

扫码支付

钱包余额 0

抵扣说明：

1.余额是钱包充值的虚拟货币，按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载，可以购买VIP、付费专栏及课程。