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run_notebooks.sh
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run_notebooks.sh
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#!/usr/bin/env bash
#
# Copyright (c) 2022 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
tensorflow_notebooks=(
"notebooks/image_classification/tf_image_classification/Image_Classification_Transfer_Learning.ipynb"
"notebooks/question_answering/tfhub_question_answering/BERT_Question_Answering.ipynb"
"notebooks/text_classification/tfhub_text_classification/BERT_Binary_Text_Classification.ipynb"
"notebooks/text_classification/tfhub_text_classification/BERT_Multi_Text_Classification.ipynb"
)
pytorch_notebooks=(
"notebooks/image_classification/pytorch_image_classification/PyTorch_Image_Classification_Transfer_Learning.ipynb"
"notebooks/text_classification/pytorch_text_classification/PyTorch_Text_Classifier_fine_tuning.ipynb"
)
if [[ $# -eq 0 ]] ; then
echo "No argument supplied. Please input tensorflow, pytorch, a notebook path, or a directory containing one or more notebooks."
exit 1
fi
CURDIR=$PWD
INPUT=$1
SUCCESS=0
# Set to an error exit code, if any notebook fails
exit_code_summary=${SUCCESS}
# Array tracking the notebooks with errors
failed_notebooks=()
if [[ $INPUT == "tensorflow" ]] ; then
notebooks=${tensorflow_notebooks[*]}
elif [[ $INPUT == "pytorch" ]] ; then
notebooks=${pytorch_notebooks[*]}
else
# Parse the filename from the path
DIR=${INPUT%/*}
FILE="${INPUT##*/}"
# If no file was given, find all notebooks in the directory
if [ -z "$FILE" ] ; then
readarray -d '' notebooks < <(find ${DIR} -maxdepth 1 -name *.ipynb -print0)
else
notebooks=($1)
fi
fi
echo "Notebooks: ${notebooks[*]}"
for notebook in ${notebooks[*]}; do
DIR=${notebook%/*}
echo "Running ${notebook}..."
if [[ $# -eq 2 ]] ; then
echo "Stripping tag ${2}..."
jupyter nbconvert --to script \
--TagRemovePreprocessor.enabled=True \
--TagRemovePreprocessor.remove_cell_tags $2 \
--output notebook_test ${notebook}
else
jupyter nbconvert --to script --output notebook_test ${notebook}
fi
pushd ${DIR}
PYTHONPATH=${CURDIR} ipython notebook_test.py
script_exit_code=$?
if [ ${script_exit_code} != ${SUCCESS} ]; then
failed_notebooks+=(${notebook})
exit_code_summary=${script_exit_code}
fi
rm notebook_test.py
popd
done
# If any notebook failed, print out the failing notebook(s)
if [ ${exit_code_summary} != ${SUCCESS} ]; then
echo ""
echo "Failed notebooks:"
for failed_nb in "${failed_notebooks[@]}"
do
echo ${failed_nb}
done
fi
exit ${exit_code_summary}