#!/usr/bin/env python3 # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. """ This script makes the stubs for implicitron in docs/modules. """ from pathlib import Path ROOT_DIR = Path(__file__).resolve().parent.parent DEST_DIR = Path(__file__).resolve().parent / "modules/implicitron" def paths_to_modules(paths): """ Given an iterable of paths, return equivalent list of modules. """ return [str(i.relative_to(ROOT_DIR))[:-3].replace("/", ".") for i in paths] def create_one_file(title, description, sources, dest_file): with open(dest_file, "w") as f: print(title, file=f) print("=" * len(title), file=f) print(file=f) print(description, file=f) for source in sources: if source.find("._") != -1: # ignore internal modules including __init__.py continue print(f"\n.. automodule:: {source}", file=f) print(" :members:", file=f) print(" :undoc-members:", file=f) print(" :show-inheritance:", file=f) def iterate_directory(directory_path, dest): """ Create a file for each module in the given path """ toc = [] if not dest.exists(): dest.mkdir() for file in directory_path.glob("*.py"): if file.stem.startswith("_"): continue module = paths_to_modules([file]) create_one_file(module[0], file.stem, module, dest / f"{file.stem}.rst") toc.append(file.stem) for subdir in directory_path.iterdir(): if not subdir.is_dir(): continue if subdir.name == "fb": continue iterate_directory(subdir, dest / (subdir.name)) toc.append(f"{subdir.name}/index") with open(dest / "index.rst", "w") as f: title = paths_to_modules([directory_path.with_suffix(".XX")])[0] print(title, file=f) print("=" * len(title), file=f) print("\n.. toctree::\n", file=f) for item in toc: print(f" {item}", file=f) iterate_directory(ROOT_DIR / "pytorch3d/implicitron/models", DEST_DIR / "models") unwanted_tools = ["configurable", "depth_cleanup", "utils"] tools_sources = sorted(ROOT_DIR.glob("pytorch3d/implicitron/tools/*.py")) tools_modules = [ str(i.relative_to(ROOT_DIR))[:-3].replace("/", ".") for i in tools_sources if i.stem not in unwanted_tools ] create_one_file( "pytorch3d.implicitron.tools", "Tools for implicitron", tools_modules, DEST_DIR / "tools.rst", ) dataset_files = sorted(ROOT_DIR.glob("pytorch3d/implicitron/dataset/*.py")) basic_dataset = [ "dataset_base", "dataset_map_provider", "data_loader_map_provider", "data_source", "scene_batch_sampler", ] basic_dataset_modules = [f"pytorch3d.implicitron.dataset.{i}" for i in basic_dataset] create_one_file( "pytorch3d.implicitron.dataset", "Basics of data for implicitron", basic_dataset_modules, DEST_DIR / "data_basics.rst", ) specific_dataset_files = [ i for i in dataset_files if i.stem.find("_dataset_map_provider") != -1 ] create_one_file( "pytorch3d.impliciton.dataset", "specific datasets", paths_to_modules(specific_dataset_files), DEST_DIR / "datasets.rst", ) evaluation_files = sorted(ROOT_DIR.glob("pytorch3d/implicitron/evaluation/*.py")) create_one_file( "pytorch3d.impliciton.evaluation", "evaluation", paths_to_modules(evaluation_files), DEST_DIR / "evaluation.rst", )