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make ExperimentConfig Configurable

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Summary: Preparing for pluggables in experiment.py

Reviewed By: davnov134

Differential Revision: D36830674

fbshipit-source-id: eab499d1bc19c690798fbf7da547544df7e88fa5
This commit is contained in:
Jeremy Reizenstein 2022-06-10 12:22:46 -07:00 committed by Facebook GitHub Bot
parent 6275283202
commit c0f88e04a0
1 changed files with 6 additions and 3 deletions
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9
projects/implicitron_trainer/experiment.py
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@ -53,7 +53,7 @@ import os
import random
import time
import warnings
from dataclasses import dataclass, field
from dataclasses import field
from typing import Any, Dict, Optional, Tuple
import hydra
@ -73,7 +73,9 @@ from pytorch3d.implicitron.evaluation import evaluate_new_view_synthesis as eval
from pytorch3d.implicitron.models.generic_model import EvaluationMode, GenericModel
from pytorch3d.implicitron.tools import model_io, vis_utils
from pytorch3d.implicitron.tools.config import (
Configurable,
enable_get_default_args,
expand_args_fields,
get_default_args_field,
remove_unused_components,
)
@ -671,8 +673,7 @@ def _seed_all_random_engines(seed: int):
random.seed(seed)
@dataclass(eq=False)
class ExperimentConfig:
class ExperimentConfig(Configurable):
generic_model_args: DictConfig = get_default_args_field(GenericModel)
solver_args: DictConfig = get_default_args_field(init_optimizer)
data_source_args: DictConfig = get_default_args_field(ImplicitronDataSource)
@ -705,6 +706,8 @@ class ExperimentConfig:
)
expand_args_fields(ExperimentConfig)
if __name__ == "__main__":
cs = hydra.core.config_store.ConfigStore.instance()
cs.store(name="default_config", node=ExperimentConfig)