Spaces:
Running on Zero
Running on Zero
| # 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. | |
| import contextlib | |
| import os | |
| import unittest | |
| import unittest.mock | |
| import torch | |
| from omegaconf import OmegaConf | |
| from pytorch3d.implicitron.dataset.data_loader_map_provider import ( | |
| SequenceDataLoaderMapProvider, | |
| SimpleDataLoaderMapProvider, | |
| ) | |
| from pytorch3d.implicitron.dataset.data_source import ImplicitronDataSource | |
| from pytorch3d.implicitron.dataset.json_index_dataset import JsonIndexDataset | |
| from pytorch3d.implicitron.tools.config import get_default_args | |
| from tests.common_testing import get_tests_dir | |
| from tests.implicitron.common_resources import get_skateboard_data | |
| DATA_DIR = get_tests_dir() / "implicitron/data" | |
| DEBUG: bool = False | |
| class TestDataSource(unittest.TestCase): | |
| def setUp(self): | |
| self.maxDiff = None | |
| torch.manual_seed(42) | |
| stack = contextlib.ExitStack() | |
| self.dataset_root, self.path_manager = stack.enter_context( | |
| get_skateboard_data() | |
| ) | |
| self.addCleanup(stack.close) | |
| def _test_omegaconf_generic_failure(self): | |
| # OmegaConf possible bug - this is why we need _GenericWorkaround | |
| from dataclasses import dataclass | |
| import torch | |
| class D(torch.utils.data.Dataset[int]): | |
| a: int = 3 | |
| OmegaConf.structured(D) | |
| def _test_omegaconf_ListList(self): | |
| # Demo that OmegaConf doesn't support nested lists | |
| from dataclasses import dataclass | |
| from typing import Sequence | |
| class A: | |
| a: Sequence[Sequence[int]] = ((32,),) | |
| OmegaConf.structured(A) | |
| def test_JsonIndexDataset_args(self): | |
| # test that JsonIndexDataset works with get_default_args | |
| get_default_args(JsonIndexDataset) | |
| def test_one(self): | |
| cfg = get_default_args(ImplicitronDataSource) | |
| # making the test invariant to env variables | |
| cfg.dataset_map_provider_JsonIndexDatasetMapProvider_args.dataset_root = "" | |
| cfg.dataset_map_provider_JsonIndexDatasetMapProviderV2_args.dataset_root = "" | |
| # making the test invariant to the presence of SQL dataset | |
| if "dataset_map_provider_SqlIndexDatasetMapProvider_args" in cfg: | |
| del cfg.dataset_map_provider_SqlIndexDatasetMapProvider_args | |
| yaml = OmegaConf.to_yaml(cfg, sort_keys=False) | |
| if DEBUG: | |
| (DATA_DIR / "data_source.yaml").write_text(yaml) | |
| self.assertEqual(yaml, (DATA_DIR / "data_source.yaml").read_text()) | |
| def test_default(self): | |
| if os.environ.get("INSIDE_RE_WORKER") is not None: | |
| return | |
| args = get_default_args(ImplicitronDataSource) | |
| args.dataset_map_provider_class_type = "JsonIndexDatasetMapProvider" | |
| dataset_args = args.dataset_map_provider_JsonIndexDatasetMapProvider_args | |
| dataset_args.category = "skateboard" | |
| dataset_args.test_restrict_sequence_id = 0 | |
| dataset_args.n_frames_per_sequence = -1 | |
| dataset_args.dataset_root = self.dataset_root | |
| data_source = ImplicitronDataSource(**args) | |
| self.assertIsInstance( | |
| data_source.data_loader_map_provider, SequenceDataLoaderMapProvider | |
| ) | |
| _, data_loaders = data_source.get_datasets_and_dataloaders() | |
| self.assertEqual(len(data_loaders.train), 81) | |
| for i in data_loaders.train: | |
| self.assertEqual(i.frame_type, ["test_known"]) | |
| break | |
| def test_simple(self): | |
| if os.environ.get("INSIDE_RE_WORKER") is not None: | |
| return | |
| args = get_default_args(ImplicitronDataSource) | |
| args.dataset_map_provider_class_type = "JsonIndexDatasetMapProvider" | |
| args.data_loader_map_provider_class_type = "SimpleDataLoaderMapProvider" | |
| dataset_args = args.dataset_map_provider_JsonIndexDatasetMapProvider_args | |
| dataset_args.category = "skateboard" | |
| dataset_args.test_restrict_sequence_id = 0 | |
| dataset_args.n_frames_per_sequence = -1 | |
| dataset_args.dataset_root = self.dataset_root | |
| data_source = ImplicitronDataSource(**args) | |
| self.assertIsInstance( | |
| data_source.data_loader_map_provider, SimpleDataLoaderMapProvider | |
| ) | |
| _, data_loaders = data_source.get_datasets_and_dataloaders() | |
| self.assertEqual(len(data_loaders.train), 81) | |
| for i in data_loaders.train: | |
| self.assertEqual(i.frame_type, ["test_known"]) | |
| break | |