AITED-249: update ecr link for ci images

.gitlab-ci.yml

@@ -10,7 +10,7 @@ build-image:
   image:
     name: gcr.io/kaniko-project/executor:v1.9.0-debug
     entrypoint: [ "" ]
-  script: sh -x ci/build_push_image.sh "528719223857.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-classifiers-ci:$(/busybox/sh ci/get_config_value.sh image_name)-$CI_PIPELINE_ID"
+  script: sh -x ci/build_push_image.sh "528719223857.dkr.ecr.eu-west-1.amazonaws.com/ci-temporary-images:$(/busybox/sh ci/get_config_value.sh image_name)-$CI_PIPELINE_ID"
 
 train:
   stage: train

README.md

@@ -73,11 +73,11 @@ These artifacts must then be deployed using terraform to create SageMaker endpoi
 
 ### All pipelines
 #### build-image
-Executes the script ci/build_push_image.sh to build the Docker image for SageMaker training and push it to Amazon ECR repository sagemaker-classifiers-ci.
+Executes the script ci/build_push_image.sh to build the Docker image for SageMaker training and push it to Amazon ECR repository ci-temporary-images.
 
 To facilitate the cleanup, 2 distinct ECR repositories were created:
 
-* sagemaker-classifiers-ci: contains temporary Docker images for CI needs (feature branches) - automatically removed after some time
+* ci-temporary-images: contains temporary Docker images for CI needs (feature branches) - automatically removed after some time
 * sagemaker-classifiers: contains the real images that will be used for inference - not removed
 
 #### train

ci/train.sh

@@ -17,7 +17,7 @@ fi
 s3_training_data_prefix="s3://d-ew1-ted-ai-ml-data/experiments/$experiment_id"
 
 datetime=$(date '+%Y-%m-%d-%H-%M-%S')
-image_url="528719223857.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-classifiers-ci:$image_name-$CI_PIPELINE_ID"
+image_url="528719223857.dkr.ecr.eu-west-1.amazonaws.com/ci-temporary-images:$image_name-$CI_PIPELINE_ID"
 s3_output_prefix=s3://d-ew1-ted-ai-ml-models/models-ci
 metrics="$(cat metrics.json)"