请帮助我,我在尝试使用TensorFlow下载MNIST数据集时遇到了以下错误。
Using TensorFlow backend.Downloading data from https://s3.amazonaws.com/img-datasets/mnist.npzTraceback (most recent call last): File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/urllib/request.py", line 1318, in do_open encode_chunked=req.has_header('Transfer-encoding')) File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/http/client.py", line 1239, in request self._send_request(method, url, body, headers, encode_chunked) File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/http/client.py", line 1285, in _send_request self.endheaders(body, encode_chunked=encode_chunked) File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/http/client.py", line 1234, in endheaders self._send_output(message_body, encode_chunked=encode_chunked) File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/http/client.py", line 1026, in _send_output self.send(msg) File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/http/client.py", line 964, in send self.connect() File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/http/client.py", line 1400, in connect server_hostname=server_hostname) File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/ssl.py", line 401, in wrap_socket _context=self, _session=session) File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/ssl.py", line 808, in __init__ self.do_handshake() File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/ssl.py", line 1061, in do_handshake self._sslobj.do_handshake() File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/ssl.py", line 683, in do_handshake self._sslobj.do_handshake()ssl.SSLError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:749)
在处理上述异常时,发生了另一个异常:
Traceback (most recent call last): File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/keras/utils/data_utils.py", line 207, in get_file urlretrieve(origin, fpath, dl_progress) File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/urllib/request.py", line 248, in urlretrieve with contextlib.closing(urlopen(url, data)) as fp: File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/urllib/request.py", line 223, in urlopen return opener.open(url, data, timeout) File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/urllib/request.py", line 526, in open response = self._open(req, data) File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/urllib/request.py", line 544, in _open '_open', req) File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/urllib/request.py", line 504, in _call_chain result = func(*args) File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/urllib/request.py", line 1361, in https_open context=self._context, check_hostname=self._check_hostname) File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/urllib/request.py", line 1320, in do_open raise URLError(err)urllib.error.URLError: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:749)>
在处理上述异常时,发生了另一个异常:
Traceback (most recent call last): File "/Users/lorin/Applications/miniconda3/envs/udemy/mnist_keras.py", line 13, in <module> (X_train, y_train), (X_test, y_test) = mnist.load_data('/lib/python3.6/site-packages/keras/datasetsmnist.py') File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/keras/datasets/mnist.py", line 15, in load_data path = get_file(path, origin='https://s3.amazonaws.com/img-datasets/mnist.npz') File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/keras/utils/data_utils.py", line 209, in get_file raise Exception(error_msg.format(origin, e.errno, e.reason))Exception: URL fetch failure on https://s3.amazonaws.com/img-datasets/mnist.npz: None -- [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:749)
进程以退出代码 enter code here
结束
回答:
我建议您在单独的虚拟环境中安装TensorFlow。
请按照以下步骤操作:在虚拟环境中安装TensorFlow
请始终记得在每次使用TensorFlow的新shell中激活
virtualenv
环境,运行以下命令:$ source ~/<target_directory>/bin/activate