Added exemption due to keras upgrade

Author: calderjo

Jenkinsfile

@@ -20,6 +20,7 @@ pipeline {
                     set -exo pipefail
                     # Ensures the currently released Docker Python image is used.
                     docker pull gcr.io/kaggle-images/python:staging
+		    docker pull gcr.io/kaggle-images/python@sha256:287c4e0e224e592dc6113940a6cf3d099b814c7bff0c1e8da57f8e6bad123ac5
                 '''
             }
         }

notebooks/test.sh

@@ -11,13 +11,20 @@ if [[ -r /etc/git_commit ]]; then
 fi
 
 # Filter by tracks if first argument set.
-TRACKS="ml_explainability intro_to_programming time_series ethics feature_engineering_new computer_vision deep_learning_intro pandas python machine_learning sql data_viz_to_coder ml_intermediate sql_advanced feature_engineering geospatial nlp game_ai data_cleaning"
-TESTABLE_NOTEBOOK_TRACKS="ml_intermediate ml_explainability intro_to_programming geospatial time_series ethics feature_engineering_new data_viz_to_coder data_cleaning computer_vision deep_learning_intro python pandas machine_learning game_ai"
+TRACKS="ml_explainability intro_to_programming time_series ethics feature_engineering_new pandas python machine_learning sql data_viz_to_coder ml_intermediate sql_advanced feature_engineering geospatial nlp game_ai data_cleaning"
+TESTABLE_NOTEBOOK_TRACKS="ml_intermediate ml_explainability intro_to_programming geospatial time_series ethics feature_engineering_new data_viz_to_coder data_cleaning python pandas machine_learning game_ai"
+PARTIAL_TESTABLE_NOTEBOOK_TRACKS="computer_vision deep_learning_intro"
 
-if [[ -n $1 && $1 != "all" ]]; then
+if [[ -n $1 && $1 != "all" && $1 != "kerasExp" ]]; then
     TRACKS=$1
     TESTABLE_NOTEBOOK_TRACKS=$1
 fi
+
+if [[ -n $1 && $1 == "kerasExp" ]]; then
+    TRACKS=$PARTIAL_TESTABLE_NOTEBOOK_TRACKS
+    TESTABLE_NOTEBOOK_TRACKS=$PARTIAL_TESTABLE_NOTEBOOK_TRACKS
+fi
+
 readonly TRACKS
 readonly TESTABLE_NOTEBOOK_TRACKS
 

test.sh

@@ -2,6 +2,7 @@
 set -e
 
 IMAGE='gcr.io/kaggle-images/python:staging'
+PINNED_IMAGE='gcr.io/kaggle-images/python@sha256:287c4e0e224e592dc6113940a6cf3d099b814c7bff0c1e8da57f8e6bad123ac5'
 TRACK='all'
 NOTEBOOK='all'
 
@@ -76,6 +77,25 @@ if [[ -z $KAGGLE_KEY && ! ( -r "$HOME/.kaggle/kaggle.json" ) ]]; then
 fi
 
 set -x
+
+if [[ $NOTEBOOK == "all" ]]; then
+    docker run --rm -t \
+    -e KAGGLE_USERNAME -e KAGGLE_KEY \
+    -v ~/.kaggle:/root/.kaggle:ro \
+    -v $PWD:/input:ro \
+    $PINNED_IMAGE \
+    /bin/bash -c "/input/notebooks/test.sh kerasExp"
+fi
+
+if [[ $NOTEBOOK  == "computer_vision" || $NOTEBOOK == "deep_learning_intro" ]]; then
+    docker run --rm -t \
+    -e KAGGLE_USERNAME -e KAGGLE_KEY \
+    -v ~/.kaggle:/root/.kaggle:ro \
+    -v $PWD:/input:ro \
+    $PINNED_IMAGE \
+    /bin/bash -c "/input/notebooks/test.sh $TRACK $NOTEBOOK"
+fi
+
 docker run --rm -t \
     -e KAGGLE_USERNAME -e KAGGLE_KEY \
     -v ~/.kaggle:/root/.kaggle:ro \