billowy-winter-86593
quality_report = NotebookTask( name="quality_report", notebook_path=os.path.join( CURR_DIR, "demo_display.ipynb" ), render_deck=True, inputs=kwtypes(path=str), outputs=kwtypes(out_nb=PythonNotebook, out_rendered_nb=HTMLPage), ) @workflow def wf() -> Tuple[PythonNotebook, HTMLPage]: images = [score_image(name="img1.png"), score_image(name="img2.png"), score_image(name="img3.png")] display_grid(images=images) path = report_preprocessing(images=images) out, render = quality_report(path=path) return out, render
glamorous-carpet-83516
quality_report = NotebookTask( ... disable_deck=False, )
Flyte enables production-grade orchestration for machine learning workflows and data processing created to accelerate local workflows to production.