尝试下载保存为 ~100MB HDF5 文件的 keras 模型文件。
from google.colab import files
files.download('models/mlp_mnist_l.h5')
但我不断收到以下 ConnectionResetError
----------------------------------------
Exception happened during processing of request from ('::ffff:127.0.0.1', 43270, 0, 0)
Traceback (most recent call last):
File "/usr/lib/python3.6/socketserver.py", line 317, in _handle_request_noblock
self.process_request(request, client_address)
File "/usr/lib/python3.6/socketserver.py", line 348, in process_request
self.finish_request(request, client_address)
File "/usr/lib/python3.6/socketserver.py", line 361, in finish_request
self.RequestHandlerClass(request, client_address, self)
File "/usr/lib/python3.6/socketserver.py", line 696, in __init__
self.handle()
File "/usr/lib/python3.6/http/server.py", line 418, in handle
self.handle_one_request()
File "/usr/lib/python3.6/http/server.py", line 406, in handle_one_request
method()
File "/usr/lib/python3.6/http/server.py", line 639, in do_GET
self.copyfile(f, self.wfile)
File "/usr/lib/python3.6/http/server.py", line 800, in copyfile
shutil.copyfileobj(source, outputfile)
File "/usr/lib/python3.6/shutil.py", line 82, in copyfileobj
fdst.write(buf)
File "/usr/lib/python3.6/socketserver.py", line 775, in write
self._sock.sendall(b)
ConnectionResetError: [Errno 104] Connection reset by peer
我是否需要重新启动 VM 并重试，但我会丢失经过训练的模型文件，或者是否有其他下载文件的方法？
请您参考如下方法:
使用 Pydrive 将其保存到 google drive
# Install the PyDrive wrapper & import libraries.
# This only needs to be done once in a notebook.
!pip install -U -q PyDrive
from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
from google.colab import auth
from oauth2client.client import GoogleCredentials
# Authenticate and create the PyDrive client.
# This only needs to be done once in a notebook.
auth.authenticate_user()
gauth = GoogleAuth()
gauth.credentials = GoogleCredentials.get_application_default()
drive = GoogleDrive(gauth)
# Create & upload a file.
uploaded = drive.CreateFile({'title': 'filename.csv'})
uploaded.SetContentFile('filename.csv')
uploaded.Upload()
print('Uploaded file with ID {}'.format(uploaded.get('id')))
