mirror of
https://github.com/facebookresearch/pytorch3d.git
synced 2025-07-31 10:52:50 +08:00
4df110b0a9
Summary: This is not actually needed and is causing a conda-forge confusion to do with python_abi - which needs users to have `-c conda-forge` when they install pytorch3d. Reviewed By: patricklabatut Differential Revision: D59587930 fbshipit-source-id: 961ae13a62e1b2b2ce6d8781db38bd97eca69e65
1248 lines
41 KiB
Plaintext
1248 lines
41 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"originalKey": "f0af2d90-cb21-4ab4-b4cb-0fd00dbfb77b",
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"showInput": true
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},
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"outputs": [],
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"source": [
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"# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved."
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"originalKey": "4e15bfa2-5404-40d0-98b6-eb2732c8b72b",
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"showInput": false
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},
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"source": [
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"# Implicitron's config system"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"customInput": null,
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"originalKey": "287be985-423d-42e0-a2af-1e8c585e723c",
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"showInput": false
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},
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"source": [
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"Implicitron's components are all based on a unified hierarchical configuration system. \n",
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"This allows configurable variables and all defaults to be defined separately for each new component.\n",
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"All configs relevant to an experiment are then automatically composed into a single configuration file that fully specifies the experiment.\n",
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"An especially important feature is extension points where users can insert their own sub-classes of Implicitron's base components.\n",
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"\n",
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"The file which defines this system is [here](https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/implicitron/tools/config.py) in the PyTorch3D repo.\n",
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"The Implicitron volumes tutorial contains a simple example of using the config system.\n",
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"This tutorial provides detailed hands-on experience in using and modifying Implicitron's configurable components.\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"customInput": null,
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"originalKey": "fde300a2-99cb-4d52-9d5b-4464a2083e0b",
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"showInput": false
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},
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"source": [
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"## 0. Install and import modules\n",
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"\n",
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"Ensure `torch` and `torchvision` are installed. If `pytorch3d` is not installed, install it using the following cell:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"customInput": null,
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"customOutput": null,
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"originalKey": "ad6e94a7-e114-43d3-b038-a5210c7d34c9",
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"showInput": true
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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 sys\n",
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"import torch\n",
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"import subprocess\n",
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"need_pytorch3d=False\n",
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"try:\n",
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" import pytorch3d\n",
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"except ModuleNotFoundError:\n",
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" need_pytorch3d=True\n",
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"if need_pytorch3d:\n",
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" pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
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" version_str=\"\".join([\n",
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" f\"py3{sys.version_info.minor}_cu\",\n",
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" torch.version.cuda.replace(\".\",\"\"),\n",
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" f\"_pyt{pyt_version_str}\"\n",
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" ])\n",
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" !pip install iopath\n",
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" if sys.platform.startswith(\"linux\"):\n",
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" print(\"Trying to install wheel for PyTorch3D\")\n",
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" !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
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" pip_list = !pip freeze\n",
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" need_pytorch3d = not any(i.startswith(\"pytorch3d==\") for i in pip_list)\n",
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" if need_pytorch3d:\n",
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" print(f\"failed to find/install wheel for {version_str}\")\n",
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"if need_pytorch3d:\n",
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" print(\"Installing PyTorch3D from source\")\n",
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" !pip install ninja\n",
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" !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"customInput": null,
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"originalKey": "609896c0-9e2e-4716-b074-b565f0170e32",
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"showInput": false
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},
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"source": [
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"Ensure omegaconf is installed. If not, run this cell. (It should not be necessary to restart the runtime.)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"customInput": null,
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"customOutput": null,
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"originalKey": "d1c1851e-b9f2-4236-93c3-19aa4d63041c",
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"showInput": true
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},
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"outputs": [],
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"source": [
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"!pip install omegaconf"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"code_folding": [],
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"collapsed": false,
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"customOutput": null,
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"executionStartTime": 1659465468717,
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"executionStopTime": 1659465468738,
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"hidden_ranges": [],
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"originalKey": "5ac7ef23-b74c-46b2-b8d3-799524d7ba4f",
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"requestMsgId": "5ac7ef23-b74c-46b2-b8d3-799524d7ba4f"
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},
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"outputs": [],
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"source": [
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"from dataclasses import dataclass\n",
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"from typing import Optional, Tuple\n",
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"\n",
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"import torch\n",
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"from omegaconf import DictConfig, OmegaConf\n",
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"from pytorch3d.implicitron.tools.config import (\n",
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" Configurable,\n",
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" ReplaceableBase,\n",
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" expand_args_fields,\n",
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" get_default_args,\n",
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" registry,\n",
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" run_auto_creation,\n",
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")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"customInput": null,
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"originalKey": "a638bf90-eb6b-424d-b53d-eae11954a717",
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"showInput": false
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},
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"source": [
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"## 1. Introducing dataclasses \n",
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"\n",
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"[Type hints](https://docs.python.org/3/library/typing.html) give a taxonomy of types in Python. [Dataclasses](https://docs.python.org/3/library/dataclasses.html) let you create a class based on a list of members which have names, types and possibly default values. The `__init__` function is created automatically, and calls a `__post_init__` function if present as a final step. For example"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false,
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"customInput": null,
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"customOutput": null,
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"executionStartTime": 1659454972732,
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"executionStopTime": 1659454972739,
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"originalKey": "71eaad5e-e198-492e-8610-24b0da9dd4ae",
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"requestMsgId": "71eaad5e-e198-492e-8610-24b0da9dd4ae",
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"showInput": true
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},
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"outputs": [],
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"source": [
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"@dataclass\n",
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"class MyDataclass:\n",
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" a: int\n",
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" b: int = 8\n",
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" c: Optional[Tuple[int, ...]] = None\n",
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"\n",
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" def __post_init__(self):\n",
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" print(f\"created with a = {self.a}\")\n",
|
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" self.d = 2 * self.b"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false,
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"customInput": null,
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"customOutput": null,
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"executionStartTime": 1659454973051,
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"executionStopTime": 1659454973077,
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"originalKey": "83202a18-a3d3-44ec-a62d-b3360a302645",
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"requestMsgId": "83202a18-a3d3-44ec-a62d-b3360a302645",
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"showInput": true
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},
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"outputs": [],
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"source": [
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"my_dataclass_instance = MyDataclass(a=18)\n",
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"assert my_dataclass_instance.d == 16"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"customInput": null,
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"originalKey": "b67ccb9f-dc6c-4994-9b99-b5a1bcfebd70",
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"showInput": false
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},
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"source": [
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"👷 Note that the `dataclass` decorator here is function which modifies the definition of the class itself.\n",
|
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"It runs immediately after the definition.\n",
|
|
"Our config system requires that implicitron library code contains classes whose modified versions need to be aware of user-defined implementations.\n",
|
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"Therefore we need the modification of the class to be delayed. We don't use a decorator.\n"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"customInput": null,
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"originalKey": "3e90f664-99df-4387-9c45-a1ad7939ef3a",
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"showInput": false
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},
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"source": [
|
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"## 2. Introducing omegaconf and OmegaConf.structured\n",
|
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"\n",
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"The [omegaconf](https://github.com/omry/omegaconf/) library provides a DictConfig class which is like a `dict` with str keys, but with extra features for ease-of-use as a configuration system."
|
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false,
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"customInput": null,
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"customOutput": null,
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"executionStartTime": 1659451341683,
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"executionStopTime": 1659451341690,
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"originalKey": "81c73c9b-27ee-4aab-b55e-fb0dd67fe174",
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"requestMsgId": "81c73c9b-27ee-4aab-b55e-fb0dd67fe174",
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"showInput": true
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},
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"outputs": [],
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|
"source": [
|
|
"dc = DictConfig({\"a\": 2, \"b\": True, \"c\": None, \"d\": \"hello\"})\n",
|
|
"assert dc.a == dc[\"a\"] == 2"
|
|
]
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|
},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"customInput": null,
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"originalKey": "3b5b76a9-4b76-4784-96ff-2a1212e48e48",
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"showInput": false
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},
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"source": [
|
|
"OmegaConf has a serialization to and from yaml. The [Hydra](https://hydra.cc/) library relies on this for its configuration files."
|
|
]
|
|
},
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|
{
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|
"cell_type": "code",
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|
"execution_count": null,
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"metadata": {
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"collapsed": false,
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"customInput": null,
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"customOutput": null,
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"executionStartTime": 1659451411835,
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"executionStopTime": 1659451411936,
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"originalKey": "d7a25ec1-caea-46bc-a1da-4b1f040c4b61",
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"requestMsgId": "d7a25ec1-caea-46bc-a1da-4b1f040c4b61",
|
|
"showInput": true
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|
},
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|
"outputs": [],
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|
"source": [
|
|
"print(OmegaConf.to_yaml(dc))\n",
|
|
"assert OmegaConf.create(OmegaConf.to_yaml(dc)) == dc"
|
|
]
|
|
},
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|
{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"customInput": null,
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"originalKey": "777fecdd-8bf6-4fd8-827b-cb8af5477fa8",
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"showInput": false
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},
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"source": [
|
|
"OmegaConf.structured provides a DictConfig from a dataclass or instance of a dataclass. Unlike a normal DictConfig, it is type-checked and only known keys can be added."
|
|
]
|
|
},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false,
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"customInput": null,
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"customOutput": null,
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"executionStartTime": 1659455098879,
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"executionStopTime": 1659455098900,
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"originalKey": "de36efb4-0b08-4fb8-bb3a-be1b2c0cd162",
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"requestMsgId": "de36efb4-0b08-4fb8-bb3a-be1b2c0cd162",
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"showInput": true
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},
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"outputs": [],
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|
"source": [
|
|
"structured = OmegaConf.structured(MyDataclass)\n",
|
|
"assert isinstance(structured, DictConfig)\n",
|
|
"print(structured)\n",
|
|
"print()\n",
|
|
"print(OmegaConf.to_yaml(structured))"
|
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]
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|
},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"customInput": null,
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"originalKey": "be4446da-e536-4139-9ba3-37669a5b5e61",
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"showInput": false
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},
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"source": [
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"`structured` knows it is missing a value for `a`."
|
|
]
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|
},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"customInput": null,
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"originalKey": "864811e8-1a75-4932-a85e-f681b0541ae9",
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"showInput": false
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},
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"source": [
|
|
"Such an object has members compatible with the dataclass, so an initialisation can be performed as follows."
|
|
]
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|
},
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|
{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false,
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"customInput": null,
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"customOutput": null,
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"executionStartTime": 1659455580491,
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"executionStopTime": 1659455580501,
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"originalKey": "eb88aaa0-c22f-4ffb-813a-ca957b490acb",
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"requestMsgId": "eb88aaa0-c22f-4ffb-813a-ca957b490acb",
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"showInput": true
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},
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"outputs": [],
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|
"source": [
|
|
"structured.a = 21\n",
|
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"my_dataclass_instance2 = MyDataclass(**structured)\n",
|
|
"print(my_dataclass_instance2)"
|
|
]
|
|
},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"customInput": null,
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"originalKey": "2d08c81c-9d18-4de9-8464-0da2d89f94f3",
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"showInput": false
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},
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|
"source": [
|
|
"You can also call OmegaConf.structured on an instance."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
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"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659455594700,
|
|
"executionStopTime": 1659455594737,
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"originalKey": "5e469bac-32a4-475d-9c09-8b64ba3f2155",
|
|
"requestMsgId": "5e469bac-32a4-475d-9c09-8b64ba3f2155",
|
|
"showInput": true
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|
},
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|
"outputs": [],
|
|
"source": [
|
|
"structured_from_instance = OmegaConf.structured(my_dataclass_instance)\n",
|
|
"my_dataclass_instance3 = MyDataclass(**structured_from_instance)\n",
|
|
"print(my_dataclass_instance3)"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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|
"collapsed": false,
|
|
"customInput": null,
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|
"customOutput": null,
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|
"executionStartTime": 1659452594203,
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"executionStopTime": 1659452594333,
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"originalKey": "2ed559e3-8552-465a-938f-30c72a321184",
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"requestMsgId": "2ed559e3-8552-465a-938f-30c72a321184",
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|
"showInput": false
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},
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|
"source": [
|
|
"## 3. Our approach to OmegaConf.structured\n",
|
|
"\n",
|
|
"We provide functions which are equivalent to `OmegaConf.structured` but support more features. \n",
|
|
"To achieve the above using our functions, the following is used.\n",
|
|
"Note that we indicate configurable classes using a special base class `Configurable`, not a decorator."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
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|
"execution_count": null,
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"metadata": {
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"collapsed": false,
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"customInput": null,
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"customOutput": null,
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"executionStartTime": 1659454053323,
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"executionStopTime": 1659454061629,
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"originalKey": "9888afbd-e617-4596-ab7a-fc1073f58656",
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"requestMsgId": "9888afbd-e617-4596-ab7a-fc1073f58656",
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"showInput": true
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},
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|
"outputs": [],
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|
"source": [
|
|
"class MyConfigurable(Configurable):\n",
|
|
" a: int\n",
|
|
" b: int = 8\n",
|
|
" c: Optional[Tuple[int, ...]] = None\n",
|
|
"\n",
|
|
" def __post_init__(self):\n",
|
|
" print(f\"created with a = {self.a}\")\n",
|
|
" self.d = 2 * self.b"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
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|
"execution_count": null,
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"metadata": {
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"collapsed": false,
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"customInput": null,
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"customOutput": null,
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"executionStartTime": 1659454784912,
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"executionStopTime": 1659454784928,
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"originalKey": "e43155b4-3da5-4df1-a2f5-da1d0369eec9",
|
|
"requestMsgId": "e43155b4-3da5-4df1-a2f5-da1d0369eec9",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# The expand_args_fields function modifies the class like @dataclasses.dataclass.\n",
|
|
"# If it has not been called on a Configurable object before it has been instantiated, it will\n",
|
|
"# be called automatically.\n",
|
|
"expand_args_fields(MyConfigurable)\n",
|
|
"my_configurable_instance = MyConfigurable(a=18)\n",
|
|
"assert my_configurable_instance.d == 16"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659460669541,
|
|
"executionStopTime": 1659460669566,
|
|
"originalKey": "96eaae18-dce4-4ee1-b451-1466fea51b9f",
|
|
"requestMsgId": "96eaae18-dce4-4ee1-b451-1466fea51b9f",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# get_default_args also calls expand_args_fields automatically\n",
|
|
"our_structured = get_default_args(MyConfigurable)\n",
|
|
"assert isinstance(our_structured, DictConfig)\n",
|
|
"print(OmegaConf.to_yaml(our_structured))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659460454020,
|
|
"executionStopTime": 1659460454032,
|
|
"originalKey": "359f7925-68de-42cd-bd34-79a099b1c210",
|
|
"requestMsgId": "359f7925-68de-42cd-bd34-79a099b1c210",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"our_structured.a = 21\n",
|
|
"print(MyConfigurable(**our_structured))"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659460599142,
|
|
"executionStopTime": 1659460599149,
|
|
"originalKey": "eac7d385-9365-4098-acf9-4f0a0dbdcb85",
|
|
"requestMsgId": "eac7d385-9365-4098-acf9-4f0a0dbdcb85",
|
|
"showInput": false
|
|
},
|
|
"source": [
|
|
"## 4. First enhancement: nested types 🪺\n",
|
|
"\n",
|
|
"Our system allows Configurable classes to contain each other. \n",
|
|
"One thing to remember: add a call to `run_auto_creation` in `__post_init__`."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659465752418,
|
|
"executionStopTime": 1659465752976,
|
|
"originalKey": "9bd70ee5-4ec1-4021-bce5-9638b5088c0a",
|
|
"requestMsgId": "9bd70ee5-4ec1-4021-bce5-9638b5088c0a",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"class Inner(Configurable):\n",
|
|
" a: int = 8\n",
|
|
" b: bool = True\n",
|
|
" c: Tuple[int, ...] = (2, 3, 4, 6)\n",
|
|
"\n",
|
|
"\n",
|
|
"class Outer(Configurable):\n",
|
|
" inner: Inner\n",
|
|
" x: str = \"hello\"\n",
|
|
" xx: bool = False\n",
|
|
"\n",
|
|
" def __post_init__(self):\n",
|
|
" run_auto_creation(self)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659465762326,
|
|
"executionStopTime": 1659465762339,
|
|
"originalKey": "9f2b9f98-b54b-46cc-9b02-9e902cb279e7",
|
|
"requestMsgId": "9f2b9f98-b54b-46cc-9b02-9e902cb279e7",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"outer_dc = get_default_args(Outer)\n",
|
|
"print(OmegaConf.to_yaml(outer_dc))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659465772894,
|
|
"executionStopTime": 1659465772911,
|
|
"originalKey": "0254204b-8c7a-4d40-bba6-5132185f63d7",
|
|
"requestMsgId": "0254204b-8c7a-4d40-bba6-5132185f63d7",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"outer = Outer(**outer_dc)\n",
|
|
"assert isinstance(outer, Outer)\n",
|
|
"assert isinstance(outer.inner, Inner)\n",
|
|
"print(vars(outer))\n",
|
|
"print(outer.inner)"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"customInput": null,
|
|
"originalKey": "44a78c13-ec92-4a87-808a-c4674b320c22",
|
|
"showInput": false
|
|
},
|
|
"source": [
|
|
"Note how inner_args is an extra member of outer. `run_auto_creation(self)` is equivalent to\n",
|
|
"```\n",
|
|
" self.inner = Inner(**self.inner_args)\n",
|
|
"```"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659461071129,
|
|
"executionStopTime": 1659461071137,
|
|
"originalKey": "af0ec78b-7888-4b0d-9346-63d970d43293",
|
|
"requestMsgId": "af0ec78b-7888-4b0d-9346-63d970d43293",
|
|
"showInput": false
|
|
},
|
|
"source": [
|
|
"## 5. Second enhancement: pluggable/replaceable components 🔌\n",
|
|
"\n",
|
|
"If a class uses `ReplaceableBase` as a base class instead of `Configurable`, we call it a replaceable.\n",
|
|
"It indicates that it is designed for child classes to use in its place.\n",
|
|
"We might use `NotImplementedError` to indicate functionality which subclasses are expected to implement.\n",
|
|
"The system maintains a global `registry` containing subclasses of each ReplaceableBase.\n",
|
|
"The subclasses register themselves with it with a decorator.\n",
|
|
"\n",
|
|
"A configurable class (i.e. a class which uses our system, i.e. a child of `Configurable` or `ReplaceableBase`) which contains a ReplaceableBase must also \n",
|
|
"contain a corresponding class_type field of type `str` which indicates which concrete child class to use."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659463453457,
|
|
"executionStopTime": 1659463453467,
|
|
"originalKey": "f2898703-d147-4394-978e-fc7f1f559395",
|
|
"requestMsgId": "f2898703-d147-4394-978e-fc7f1f559395",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"class InnerBase(ReplaceableBase):\n",
|
|
" def say_something(self):\n",
|
|
" raise NotImplementedError\n",
|
|
"\n",
|
|
"\n",
|
|
"@registry.register\n",
|
|
"class Inner1(InnerBase):\n",
|
|
" a: int = 1\n",
|
|
" b: str = \"h\"\n",
|
|
"\n",
|
|
" def say_something(self):\n",
|
|
" print(\"hello from an Inner1\")\n",
|
|
"\n",
|
|
"\n",
|
|
"@registry.register\n",
|
|
"class Inner2(InnerBase):\n",
|
|
" a: int = 2\n",
|
|
"\n",
|
|
" def say_something(self):\n",
|
|
" print(\"hello from an Inner2\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659463453514,
|
|
"executionStopTime": 1659463453592,
|
|
"originalKey": "6f171599-51ee-440f-82d7-a59f84d24624",
|
|
"requestMsgId": "6f171599-51ee-440f-82d7-a59f84d24624",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"class Out(Configurable):\n",
|
|
" inner: InnerBase\n",
|
|
" inner_class_type: str = \"Inner1\"\n",
|
|
" x: int = 19\n",
|
|
"\n",
|
|
" def __post_init__(self):\n",
|
|
" run_auto_creation(self)\n",
|
|
"\n",
|
|
" def talk(self):\n",
|
|
" self.inner.say_something()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659463191360,
|
|
"executionStopTime": 1659463191428,
|
|
"originalKey": "7abaecec-96e6-44df-8c8d-69c36a14b913",
|
|
"requestMsgId": "7abaecec-96e6-44df-8c8d-69c36a14b913",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"Out_dc = get_default_args(Out)\n",
|
|
"print(OmegaConf.to_yaml(Out_dc))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659463192717,
|
|
"executionStopTime": 1659463192754,
|
|
"originalKey": "c82dc2ca-ba8f-4a44-aed3-43f6b52ec28c",
|
|
"requestMsgId": "c82dc2ca-ba8f-4a44-aed3-43f6b52ec28c",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"Out_dc.inner_class_type = \"Inner2\"\n",
|
|
"out = Out(**Out_dc)\n",
|
|
"print(out.inner)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659463193751,
|
|
"executionStopTime": 1659463193791,
|
|
"originalKey": "aa0e1b04-963a-4724-81b7-5748b598b541",
|
|
"requestMsgId": "aa0e1b04-963a-4724-81b7-5748b598b541",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"out.talk()"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"customInput": null,
|
|
"originalKey": "4f78a56c-39cd-4563-a97e-041e5f360f6b",
|
|
"showInput": false
|
|
},
|
|
"source": [
|
|
"Note in this case there are many `args` members. It is usually fine to ignore them in the code. They are needed for the config."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659462145294,
|
|
"executionStopTime": 1659462145307,
|
|
"originalKey": "ce7069d5-a813-4286-a7cd-6ff40362105a",
|
|
"requestMsgId": "ce7069d5-a813-4286-a7cd-6ff40362105a",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"print(vars(out))"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659462231114,
|
|
"executionStopTime": 1659462231130,
|
|
"originalKey": "c7f051ff-c264-4b89-80dc-36cf179aafaf",
|
|
"requestMsgId": "c7f051ff-c264-4b89-80dc-36cf179aafaf",
|
|
"showInput": false
|
|
},
|
|
"source": [
|
|
"## 6. Example with torch.nn.Module 🔥\n",
|
|
"Typically in implicitron, we use this system in combination with [`Module`](https://pytorch.org/docs/stable/generated/torch.nn.Module.html)s. \n",
|
|
"Note in this case it is necessary to call `Module.__init__` explicitly in `__post_init__`."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659462645018,
|
|
"executionStopTime": 1659462645037,
|
|
"originalKey": "42d210d6-09e0-4daf-8ccb-411d30f268f4",
|
|
"requestMsgId": "42d210d6-09e0-4daf-8ccb-411d30f268f4",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"class MyLinear(torch.nn.Module, Configurable):\n",
|
|
" d_in: int = 2\n",
|
|
" d_out: int = 200\n",
|
|
"\n",
|
|
" def __post_init__(self):\n",
|
|
" super().__init__()\n",
|
|
" self.linear = torch.nn.Linear(in_features=self.d_in, out_features=self.d_out)\n",
|
|
"\n",
|
|
" def forward(self, x):\n",
|
|
" return self.linear.forward(x)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659462692309,
|
|
"executionStopTime": 1659462692346,
|
|
"originalKey": "546781fe-5b95-4e48-9cb5-34a634a31313",
|
|
"requestMsgId": "546781fe-5b95-4e48-9cb5-34a634a31313",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"my_linear = MyLinear()\n",
|
|
"input = torch.zeros(2)\n",
|
|
"output = my_linear(input)\n",
|
|
"print(\"output shape:\", output.shape)"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659462738302,
|
|
"executionStopTime": 1659462738419,
|
|
"originalKey": "b6cb71e1-1d54-4e89-a422-0a70772c5c03",
|
|
"requestMsgId": "b6cb71e1-1d54-4e89-a422-0a70772c5c03",
|
|
"showInput": false
|
|
},
|
|
"source": [
|
|
"`my_linear` has all the usual features of a Module.\n",
|
|
"E.g. it can be saved and loaded with `torch.save` and `torch.load`.\n",
|
|
"It has parameters:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659462821485,
|
|
"executionStopTime": 1659462821501,
|
|
"originalKey": "47e8c53e-2d2c-4b41-8aa3-65aa3ea8a7d3",
|
|
"requestMsgId": "47e8c53e-2d2c-4b41-8aa3-65aa3ea8a7d3",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"for name, value in my_linear.named_parameters():\n",
|
|
" print(name, value.shape)"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659463222379,
|
|
"executionStopTime": 1659463222409,
|
|
"originalKey": "a01f0ea7-55f2-4af9-8e81-45dddf40f13b",
|
|
"requestMsgId": "a01f0ea7-55f2-4af9-8e81-45dddf40f13b",
|
|
"showInput": false
|
|
},
|
|
"source": [
|
|
"## 7. Example of implementing your own pluggable component \n",
|
|
"Let's say I am using a library with `Out` like in section **5** but I want to implement my own child of InnerBase. \n",
|
|
"All I need to do is register its definition, but I need to do this before expand_args_fields is explicitly or implicitly called on Out."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659463694644,
|
|
"executionStopTime": 1659463694653,
|
|
"originalKey": "d9635511-a52b-43d5-8dae-d5c1a3dd9157",
|
|
"requestMsgId": "d9635511-a52b-43d5-8dae-d5c1a3dd9157",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"@registry.register\n",
|
|
"class UserImplementedInner(InnerBase):\n",
|
|
" a: int = 200\n",
|
|
"\n",
|
|
" def say_something(self):\n",
|
|
" print(\"hello from the user\")"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"customInput": null,
|
|
"originalKey": "f1511aa2-56b8-4ed0-a453-17e2bbfeefe7",
|
|
"showInput": false
|
|
},
|
|
"source": [
|
|
"At this point, we need to redefine the class Out. \n",
|
|
"Otherwise if it has already been expanded without UserImplementedInner, then the following would not work,\n",
|
|
"because the implementations known to a class are fixed when it is expanded.\n",
|
|
"\n",
|
|
"If you are running experiments from a script, the thing to remember here is that you must import your own modules, which register your own implementations,\n",
|
|
"before you *use* the library classes."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659463745967,
|
|
"executionStopTime": 1659463745986,
|
|
"originalKey": "c7bb5a6e-682b-4eb0-a214-e0f5990b9406",
|
|
"requestMsgId": "c7bb5a6e-682b-4eb0-a214-e0f5990b9406",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"class Out(Configurable):\n",
|
|
" inner: InnerBase\n",
|
|
" inner_class_type: str = \"Inner1\"\n",
|
|
" x: int = 19\n",
|
|
"\n",
|
|
" def __post_init__(self):\n",
|
|
" run_auto_creation(self)\n",
|
|
"\n",
|
|
" def talk(self):\n",
|
|
" self.inner.say_something()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659463747398,
|
|
"executionStopTime": 1659463747431,
|
|
"originalKey": "b6ecdc86-4b7b-47c6-9f45-a7e557c94979",
|
|
"requestMsgId": "b6ecdc86-4b7b-47c6-9f45-a7e557c94979",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"out2 = Out(inner_class_type=\"UserImplementedInner\")\n",
|
|
"print(out2.inner)"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659464033633,
|
|
"executionStopTime": 1659464033643,
|
|
"originalKey": "c7fe0df3-da13-40b8-9b06-6b1f37f37bb9",
|
|
"requestMsgId": "c7fe0df3-da13-40b8-9b06-6b1f37f37bb9",
|
|
"showInput": false
|
|
},
|
|
"source": [
|
|
"## 8: Example of making a subcomponent pluggable\n",
|
|
"\n",
|
|
"Let's look what needs to happen if we have a subcomponent which we make pluggable, to allow users to supply their own."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659464709922,
|
|
"executionStopTime": 1659464709933,
|
|
"originalKey": "e37227b2-6897-4033-8560-9f2040abdeeb",
|
|
"requestMsgId": "e37227b2-6897-4033-8560-9f2040abdeeb",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"class SubComponent(Configurable):\n",
|
|
" x: float = 0.25\n",
|
|
"\n",
|
|
" def apply(self, a: float) -> float:\n",
|
|
" return a + self.x\n",
|
|
"\n",
|
|
"\n",
|
|
"class LargeComponent(Configurable):\n",
|
|
" repeats: int = 4\n",
|
|
" subcomponent: SubComponent\n",
|
|
"\n",
|
|
" def __post_init__(self):\n",
|
|
" run_auto_creation(self)\n",
|
|
"\n",
|
|
" def apply(self, a: float) -> float:\n",
|
|
" for _ in range(self.repeats):\n",
|
|
" a = self.subcomponent.apply(a)\n",
|
|
" return a"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659464710339,
|
|
"executionStopTime": 1659464710459,
|
|
"originalKey": "cab4c121-350e-443f-9a49-bd542a9735a2",
|
|
"requestMsgId": "cab4c121-350e-443f-9a49-bd542a9735a2",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"large_component = LargeComponent()\n",
|
|
"assert large_component.apply(3) == 4\n",
|
|
"print(OmegaConf.to_yaml(LargeComponent))"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"customInput": null,
|
|
"originalKey": "be60323a-badf-46e4-a259-72cae1391028",
|
|
"showInput": false
|
|
},
|
|
"source": [
|
|
"Made generic:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659464717226,
|
|
"executionStopTime": 1659464717261,
|
|
"originalKey": "fc0d8cdb-4627-4427-b92a-17ac1c1b37b8",
|
|
"requestMsgId": "fc0d8cdb-4627-4427-b92a-17ac1c1b37b8",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"class SubComponentBase(ReplaceableBase):\n",
|
|
" def apply(self, a: float) -> float:\n",
|
|
" raise NotImplementedError\n",
|
|
"\n",
|
|
"\n",
|
|
"@registry.register\n",
|
|
"class SubComponent(SubComponentBase):\n",
|
|
" x: float = 0.25\n",
|
|
"\n",
|
|
" def apply(self, a: float) -> float:\n",
|
|
" return a + self.x\n",
|
|
"\n",
|
|
"\n",
|
|
"class LargeComponent(Configurable):\n",
|
|
" repeats: int = 4\n",
|
|
" subcomponent: SubComponentBase\n",
|
|
" subcomponent_class_type: str = \"SubComponent\"\n",
|
|
"\n",
|
|
" def __post_init__(self):\n",
|
|
" run_auto_creation(self)\n",
|
|
"\n",
|
|
" def apply(self, a: float) -> float:\n",
|
|
" for _ in range(self.repeats):\n",
|
|
" a = self.subcomponent.apply(a)\n",
|
|
" return a"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659464725473,
|
|
"executionStopTime": 1659464725587,
|
|
"originalKey": "bbc3d321-6b49-4356-be75-1a173b1fc3a5",
|
|
"requestMsgId": "bbc3d321-6b49-4356-be75-1a173b1fc3a5",
|
|
"showInput": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"large_component = LargeComponent()\n",
|
|
"assert large_component.apply(3) == 4\n",
|
|
"print(OmegaConf.to_yaml(LargeComponent))"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659464672680,
|
|
"executionStopTime": 1659464673231,
|
|
"originalKey": "5115453a-1d96-4022-97e7-46433e6dcf60",
|
|
"requestMsgId": "5115453a-1d96-4022-97e7-46433e6dcf60",
|
|
"showInput": false
|
|
},
|
|
"source": [
|
|
"The following things had to change:\n",
|
|
"* The base class SubComponentBase was defined.\n",
|
|
"* SubComponent gained a `@registry.register` decoration and had its base class changed to the new one.\n",
|
|
"* `subcomponent_class_type` was added as a member of the outer class.\n",
|
|
"* In any saved configuration yaml files, the key `subcomponent_args` had to be changed to `subcomponent_SubComponent_args`."
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"customInput": null,
|
|
"customOutput": null,
|
|
"executionStartTime": 1659462041307,
|
|
"executionStopTime": 1659462041637,
|
|
"originalKey": "0739269e-5c0e-4551-b06f-f4aab386ba54",
|
|
"requestMsgId": "0739269e-5c0e-4551-b06f-f4aab386ba54",
|
|
"showInput": false
|
|
},
|
|
"source": [
|
|
"## Appendix: gotchas ⚠️\n",
|
|
"\n",
|
|
"* Omitting to define `__post_init__` or not calling `run_auto_creation` in it.\n",
|
|
"* Omitting a type annotation on a field. For example, writing \n",
|
|
"```\n",
|
|
" subcomponent_class_type = \"SubComponent\"\n",
|
|
"```\n",
|
|
"instead of \n",
|
|
"```\n",
|
|
" subcomponent_class_type: str = \"SubComponent\"\n",
|
|
"```\n",
|
|
"\n"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
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"bento_stylesheets": {
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"bento/extensions/kernel_selector/main.css": true,
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"kernel_name": "bento_kernel_pytorch3d",
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"nightly_builds": true
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},
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"name": "bento_kernel_pytorch3d"
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"pygments_lexer": "ipython3"
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