update

Author: clee2000

.jenkins/build.sh

@@ -53,12 +53,11 @@ if [[ "${JOB_TYPE}" == "worker" ]]; then
   # Step 2: Keep certain tutorials based on file count, and remove runnable code in all other tutorials
   # IMPORTANT NOTE: We assume that each tutorial has a UNIQUE filename.
   FILES_TO_RUN=$(python .jenkins/get_files_to_run.py)
-  echo "FILES_TO_RUN: " ${FILES_TO_RUN}
   # Files to run must be accessible to subprocessed (at least to `download_data.py`)
   export FILES_TO_RUN
 
-  # Step 3: Run `make docs` to generate HTML files and static files for these tutorials
-  make docs
+  make download
+  python .jenkins/sphinx_files.py
 
   # Step 3.1: Run the post-processing script:
   python .jenkins/post_process_notebooks.py

.jenkins/sphinx_files.py

@@ -0,0 +1,15 @@
+import subprocess
+import os
+
+
+def main() -> None:
+    files_to_run = os.environ["FILES_TO_RUN"]
+    env = os.environ.copy()
+    for file in files_to_run.split(" "):
+        print(f"Running {file}")
+        env["GALLERY_PATTERN"] = file
+        subprocess.check_output(["make", "html"], env=env)
+
+
+if __name__ == "__main__":
+    main()

advanced_source/super_resolution_with_onnxruntime.py

@@ -254,8 +254,9 @@ def to_numpy(tensor):
 
 from PIL import Image
 import torchvision.transforms as transforms
+import os
 
-img = Image.open("./_static/img/cat.jpg")
+img = Image.open(os.cwd() + "../_static/img/cat.jpg")
 
 resize = transforms.Resize([224, 224])
 img = resize(img)