Docker images pull error

[ytzhao]

Hi amini,
I'm trying to pull the docker images by this link DockerHub, it seems that there're some problems. I try docker pull mit6s191/iap2018 in terminal, it gives me this message:

Using default tag: latest
Error response from daemon: manifest for mit6s191/iap2018:latest not found

then, I use docker pull mit6s191/iap2018:labs, it shows:

error pulling image configuration: Get https://dseasb33srnrn.cloudfront.net/registry-v2/docker/registry/v2/blobs/sha256/48/48db1fb4c0b5d8aeb65b499c0623b057f6b50f93eed0e9cfb3f963b0c12a74db/data?Expires=1524752941&Signature=AKuwnCd69y-fs0NlLjQnAlBoUhbht-gWbIYIoIESf7dERzjlkeejUndYC1QCnEhjjlhZAvv2NWQFWEf-Efc6noGUV9hK4QRVaQqO23zRKRrqarTWVMLj5LQX4X1Qikze5YEXy4VqdNm5t88WRQsfDvsPHHDmKx6vqA2V4VgVDP8_&Key-Pair-Id=APKAJECH5M7VWIS5YZ6Q: net/http: TLS handshake timeout

Could you please help to address this problem? Thank you.

[aamini]

Hi, this is a very interesting error. I will look into it be get back to you soon.

[aamini]

I'm not able to reproduce your error on my machine. Is there a reason why you are running docker pull? What happens when you simply run docker run ...?

[ytzhao]

Hi amini, I use docker pull to set up the environment for the labs. My docker version is Server Version: 18.03.0-ce on Ubuntu 16.04. When I simply run docker run ..., it gives me back this message:

docker: invalid reference format.
See 'docker run --help'.

And by the way, I pulled other docker images and run successfully, e.g ufoym/deepo by docker pull and docker run. Or probably there's something wrong with my network, I guess.

I've already installed tensorflow-gpu 1.4.1 and opencv 3.4.1 by anaconda. So if I would like to do these labs, is this tensorflow version ok or not? Is there any other dependencies I have to installed?

[aamini]

Sorry I didnt mean to run docker run ... Please see the README.md for the full command. I am pasting it below again for convenience. Running this command will automatically pull the docker image for you and run it.

docker run -p 8888:8888 -p 6006:6006 -v /path/to/introtodeeplearning_labs:/notebooks/introtodeeplearning_labs mit6s191/iap2018:labs

where you replace /path/to/introtodeeplearning_labs to the path to the repo on your computer.

[aamini]

That said, since you already have tensorflow, it should be simple to run the labs locally on your host if you can't get docker to work. The labs will require a few more modules than just tensorflow but you should be able to pip install these as needed.

[ytzhao]

Whooops, I misunderstood. It seems have the same error I encountered before.

$ docker run -p 8888:8888 -p 6006:6006 -v /media/ytzhao/olala/introtodeeplearning_labs:/notebooks/introtodeeplearning_labs mit6s191/iap2018:labs
Unable to find image 'mit6s191/iap2018:labs' locally
labs: Pulling from mit6s191/iap2018
1be7f2b886e8: Downloading [==================================>                ]  29.41MB/42.86MB
6fbc4a21b806: Pulling fs layer 
c71a6f8e1378: Pulling fs layer 
4be3072e5a37: Waiting 
06c6d2f59700: Waiting 
6a99deb058d4: Waiting 
416834ad7c80: Waiting 
5d9220d4de72: Waiting 
79b4122d5e5e: Waiting 
c0532cf95a31: Waiting 
22a2cf563723: Waiting 
354ea97a78e6: Waiting 
dda0fcda00bd: Waiting 
docker: error pulling image configuration: Get https://dseasb33srnrn.cloudfront.net/registry-v2/docker/registry/v2/blobs/sha256/48/48db1fb4c0b5d8aeb65b499c0623b057f6b50f93eed0e9cfb3f963b0c12a74db/data?Expires=1524842883&Signature=BJYIcpPy2wa1JeiDmyVtlHlJvbTpbMfYDIu9-wn-JjSNZPrJC1z~i6QU3y-MMOwxPVeDN7tibHxc7YNtM1LEFhXesMrN5pdwAdzOI7a9mWaH3WTpELLBqDke4lDk3iyEMzOfC0EQTPNGGoMTD7af0Ms2iYzo4YJOcfVliVKXahk_&Key-Pair-Id=APKAJECH5M7VWIS5YZ6Q: net/http: TLS handshake timeout.
See 'docker run --help'.

[aamini]

Hmm that is interesting, I'm not immediately sure of the reason. Could you try running locally on your machine since you already have tensorflow installed?

[ytzhao]

Yeap, I'll try to do these labs without this docker image and give you the feedback soon. Thanks :)

[aamini]

Closing this issue since we are releasing new labs which do not use docker and wont have this problem.