Unable to build image locally

[paulelvers]

After following the instructions from the readme I get the following error message:

➜ sagemaker-scikit-learn-container git:(master) docker build -t preprod-sklearn:0.23-1-cpu-py3 -f docker/0.23-1/final/Dockerfile.cpu .
[+] Building 1.5s (3/3) FINISHED
=> [internal] load build definition from Dockerfile.cpu 0.0s
=> => transferring dockerfile: 41B 0.0s
=> [internal] load .dockerignore 0.0s
=> => transferring context: 34B 0.0s
=> ERROR [internal] load metadata for docker.io/library/sklearn-base:0.23-1-cpu-py3 1.4s
[internal] load metadata for docker.io/library/sklearn-base:0.23-1-cpu-py3:
failed to solve with frontend dockerfile.v0: failed to create LLB definition: pull access denied, repository does not exist or may require authorization: server message: insufficient_scope: authorization failed

Docker

Docker version 20.10.7, build f0df350

OS

MacOS Big Sur 11.4
Apple M1

[mabunday]

This is the process I followed on my Mac:

git checkout 0.23-1
conda create -n sklearn-0.23-1 python=3.7.10
conda activate sklearn-0.23-1
docker build -t sklearn-base:0.23-1-cpu-py3 -f docker/0.23-1/base/Dockerfile.cpu .

At this point, running docker images gave

REPOSITORY     TAG               IMAGE ID       CREATED         SIZE
sklearn-base   0.23-1-cpu-py3   bf35a39b6f84   3 minutes ago   3.7GB

and I was able to run docker build -t preprod-sklearn:0.23-1-cpu-py3 -f docker/0.23-1/final/Dockerfile.cpu . successfully.

docker images
>>> REPOSITORY        TAG               IMAGE ID       CREATED              SIZE
>>> preprod-sklearn   0.23-1-cpu-py3    41215ffa2fe2   About a minute ago   4.22GB
>>> sklearn-base      0.23-1-cpu-py3    bf35a39b6f84   7 minutes ago        3.7GB

The error message may occur if the base image isn't named correctly, in which case docker will look for a remote image and fail to find it.

Let me know if you're still running into this issue.