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972 testing auto3dseg_autorunner_ref_api.ipynb, workaround to unblock nightly tests (#980)
Signed-off-by: Wenqi Li <wenqil@nvidia.com> workaround #972 ### Checks <!--- Put an `x` in all the boxes that apply, and remove the not applicable items --> - [ ] Notebook runs automatically `./runner [-p <regex_pattern>]` Signed-off-by: Wenqi Li <wenqil@nvidia.com>
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.github/workflows/test-modified.yml

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@@ -16,22 +16,26 @@ jobs:
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build:
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if: github.repository == 'Project-MONAI/tutorials'
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container:
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image: nvcr.io/nvidia/pytorch:21.06-py3 # CUDA 11.3
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options: "--gpus 0"
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image: nvcr.io/nvidia/pytorch:22.04-py3
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options: --gpus all --ipc host
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runs-on: [self-hosted, linux, x64]
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steps:
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- name: Install MONAI
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id: monai-install
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run: |
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which python
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nvidia-smi
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python -m pip install --upgrade pip wheel
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BUILD_MONAI=0 python -m pip install git+https://github.com/Project-MONAI/MONAI#egg=MONAI
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python -m pip install -r https://raw.githubusercontent.com/Project-MONAI/MONAI/main/requirements-dev.txt
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- uses: actions/checkout@v3
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- name: Notebook quick check
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shell: bash
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run: |
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git config --global --add safe.directory /__w/tutorials/tutorials
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git fetch origin main
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python -m pip install -r requirements.txt; python -m pip list
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python -c "import monai; monai.config.print_debug_info()"
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export CUDA_VISIBLE_DEVICES=0
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git diff --name-only origin/main | while read line; do if [[ $line == *.ipynb ]]; then ./runner.sh -p "-and -wholename './${line}'"; fi; done;
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# [[ $line == *.ipynb ]] && ./runner.sh --file "$line"

auto3dseg/notebooks/auto3dseg_autorunner_ref_api.ipynb

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@@ -24,7 +24,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/opt/conda/lib/python3.8/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
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" from .autonotebook import tqdm as notebook_tqdm\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"import os\n",
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"import torch\n",
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"num_images_per_batch = 2\n",
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"files_train_fold0, _ = datafold_read(datalist_file, \"\", 0)\n",
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"n_data = len(files_train_fold0)\n",
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"n_iter = int(num_epoch * n_data / num_images_per_batch / num_gpus)\n",
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"n_iter = int(num_epoch * n_data / num_images_per_batch / max(num_gpus, 1))\n",
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"n_iter_val = int(n_iter / 2)\n",
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"\n",
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"train_param = {\n",

runner.sh

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@@ -82,6 +82,7 @@ pattern="-and -name '*' -and ! -wholename '*federated_learning*'\
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-and ! -wholename '*video_seg*'\
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-and ! -wholename '*tcia_dataset*'\
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-and ! -wholename '*MRI_reconstruction*'\
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-and ! -wholename '*auto3dseg_autorunner_ref_api*'\
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-and ! -wholename '*get_started*'"
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kernelspec="python3"
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files=($(echo $pattern | xargs find . -type f -name "*.ipynb" -and ! -wholename "*.ipynb_checkpoints*"))
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if [[ $files == "" ]]; then
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print_error_msg "No files match pattern"
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exit 1
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exit 0
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fi
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echo "Files to be tested:"
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for i in "${files[@]}"; do echo $i; done

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