Question

运行代码

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Xml;
using System.Xml.Linq;

namespace ConsoleApplication1
{
    class Program
    {
        const string FILENAME = @"c:\temp\test.xml";
        static void Main(string[] args)
        {
            XDocument oldDoc = XDocument.Load(FILENAME);
            XElement oldNodes = oldDoc.Descendants("nodes").FirstOrDefault();

            string header = "<?xml version=\"1.0\" encoding=\"utf-8\" ?><sensortree><nodes></nodes></sensortree>";

            XDocument newDoc = XDocument.Parse(header);
            XElement newNodes = newDoc.Descendants("nodes").FirstOrDefault();

            GetTreeRecursively(oldNodes, newNodes);

        }
        static void GetTreeRecursively(XElement oldElement, XElement newElement)
        {
            string[] findTags = { "group", "probenode", "device", "sensor" };

            List<XElement> oldChildren = oldElement.Elements().Where(x => findTags.Contains(x.Name.LocalName)).ToList();

            foreach (XElement oldChild in oldChildren)
            {
                XElement newChild = new XElement(oldChild.Name.LocalName, new XAttribute("id", (string)oldChild.Attribute("id")));
                newChild.Add(oldChild.Element("name"));
                newChild.Add(oldChild.Element("id"));
                newElement.Add(newChild);
                GetTreeRecursively(oldChild, newChild);
            }
        }
    }

}

和发生的错误

export_path= '/content/gdrive/My Drive'+ '\\model\\'+'20191003053122'

with tf.Session(graph=tf.Graph()) as sess:
    tf.saved_model.loader.load(sess, ["myTag"], export_path)         
    graph = tf.get_default_graph()

我不了解的是，我之前设置了相同的路径（ValueError: The passed save_path is not a valid checkpoint: /content/gdrive/My Drive\model\20191003053122/variables/variables），但是Google Colab仍然说该检查点无效。这是什么意思并且出了错？我还多次更改了两个路径（例如将export_path = '/content/gdrive/My Drive' +'\\model\\'+time.strftime("%Y%m%d%H%M%S",time.localtime())替换为'/content/gdrive/My Drive'）以确保它们彼此匹配，但没有帮助。

我想知道是否是因为代码

os.getcwd()+

不建议使用

-如果是这种情况，我应该使用什么等效项？也许with tf.Session(graph=tf.Graph()) as sess: tf.saved_model.loader.load(sess, ["myTag"], export_path) graph = tf.get_default_graph()？任何贡献表示赞赏。谢谢

Answer 1

在Google Colab和Google云端硬盘之间似乎存在访问问题

您可以退后一步，确认您的Google驱动器是否已正确安装，并且能够通过Goole Colab读写文件。

这是要遵循的步骤：

导入并安装Google云端硬盘

from google.colab import drive
drive.mount('/content/gdrive')

验证您能够列出驱动器中或要写入的位置中的文件
```
!ls "/content/gdrive/My Drive"
```
在Google云端硬盘中写入文件

我已经使用"w"来创建不存在的文件

Other file modes in Python open() function
```
with open("/content/gdrive/My Drive/myFile.txt", "w") as file:
file.write("Your text goes here")
```
再次读取文件以检查写入文件是否正常！
```
!cat "/content/gdrive/My Drive/myFile.txt"
```

Image of my Google colab working code snippet

You can even check the official Goolge Colab notebook with steps here

希望这会有所帮助：）

ValueError：传递的save_path不是有效的检查点：/ content / gdrive / My Drive \ model \ 20191003053122 / variables / variables

1 个答案: