python-将字节对象转换为张量对象，以用于TORCH.LOAD（）
我已经从我的Google Drive下载了张量（.pt）对象进入我的python工作区，该python工作区当前是bytes对象。它需要是张量对象（x）在代码torch.load.load（x）中使用：
从我的Google Drive下载TensorFlow对象的代码是：
file_id2 = 'XXXXXXXXXXXXXXXXXXXXXXXXX'
request = drive_service.files().get_media(fileId=file_id2)
gh = io.BytesIO()
downloader = MediaIoBaseDownload(gh, request)
done = False
while done is False:
status, done = downloader.next_chunk()
print ("Download %d%%." % int(status.progress() * 100))
X = gh.getvalue()
我试图找到一种将字节对象（x）放入张量对象的方法，但是我找不到任何有用的
方法吗？或一种从Google下载张量对象的方法，以.pt文件而不是bytes。
I have downloaded a tensor (.pt) object from my Google drive into my Python workspace, which is currently a bytes object. It needs to be a tensor object (X) to be used in the code torch.load(X):
The code to download the tensorflow object from my Google Drive is:
file_id2 = 'XXXXXXXXXXXXXXXXXXXXXXXXX'
request = drive_service.files().get_media(fileId=file_id2)
gh = io.BytesIO()
downloader = MediaIoBaseDownload(gh, request)
done = False
while done is False:
status, done = downloader.next_chunk()
print ("Download %d%%." % int(status.progress() * 100))
X = gh.getvalue()
I have tried to find a way of getting the bytes object (X) into a tensor object, but I am not finding anything helpful
Is there a way of doing this? or a way of downloading the tensor object from google as a .pt file and not bytes.
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我设法解决了它，因此如果将来有人需要它，它将留在这里。
我必须将对象作为字节对象（我认为已经是），现在它有效:)
I managed to solve it, so will leave this here in case anyone needs it in the future.
I had to pass the object as a BytesIO object (I thought it already was), and now it works :)