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add test to enforce infinite buffer size for all applicable datapipes #5707

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merged 4 commits into from
Mar 30, 2022
Merged

add test to enforce infinite buffer size for all applicable datapipes #5707

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6f9886e
add test to enforce infinite buffer size for all applicable datapipes
pmeier Mar 30, 2022
eca430b
use utility function to extract datapipes
pmeier Mar 30, 2022
68b13a9
check for buffer_size attr rather than type
pmeier Mar 30, 2022
7e36fd9
simplify
pmeier Mar 30, 2022
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30 changes: 23 additions & 7 deletions test/test_prototype_builtin_datasets.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,18 +7,23 @@
import torch
from builtin_dataset_mocks import parametrize_dataset_mocks, DATASET_MOCKS
from torch.testing._comparison import assert_equal, TensorLikePair, ObjectPair
from torch.utils.data.datapipes.iter.grouping import ShardingFilterIterDataPipe as ShardingFilter
from torch.utils.data.graph import traverse
from torchdata.datapipes.iter import IterDataPipe, Shuffler
from torch.utils.data.graph_settings import get_all_graph_pipes
from torchdata.datapipes.iter import IterDataPipe, Shuffler, ShardingFilter
from torchvision._utils import sequence_to_str
from torchvision.prototype import transforms, datasets
from torchvision.prototype.datasets.utils._internal import INFINITE_BUFFER_SIZE
from torchvision.prototype.features import Image, Label

assert_samples_equal = functools.partial(
assert_equal, pair_types=(TensorLikePair, ObjectPair), rtol=0, atol=0, equal_nan=True
)


def extract_datapipes(dp):
return get_all_graph_pipes(traverse(dp, only_datapipe=True))


@pytest.fixture
def test_home(mocker, tmp_path):
mocker.patch("torchvision.prototype.datasets._api.home", return_value=str(tmp_path))
Expand Down Expand Up @@ -125,16 +130,12 @@ def test_serializable(self, test_home, dataset_mock, config):
@parametrize_dataset_mocks(DATASET_MOCKS)
@pytest.mark.parametrize("annotation_dp_type", (Shuffler, ShardingFilter))
def test_has_annotations(self, test_home, dataset_mock, config, annotation_dp_type):
def scan(graph):
for node, sub_graph in graph.items():
yield node
yield from scan(sub_graph)

dataset_mock.prepare(test_home, config)

dataset = datasets.load(dataset_mock.name, **config)

if not any(type(dp) is annotation_dp_type for dp in scan(traverse(dataset))):
if not any(isinstance(dp, annotation_dp_type) for dp in extract_datapipes(dataset)):
raise AssertionError(f"The dataset doesn't contain a {annotation_dp_type.__name__}() datapipe.")

@parametrize_dataset_mocks(DATASET_MOCKS)
Expand All @@ -148,6 +149,21 @@ def test_save_load(self, test_home, dataset_mock, config):
buffer.seek(0)
assert_samples_equal(torch.load(buffer), sample)

@parametrize_dataset_mocks(DATASET_MOCKS)
def test_infinite_buffer_size(self, test_home, dataset_mock, config):
dataset_mock.prepare(test_home, config)
dataset = datasets.load(dataset_mock.name, **config)

for dp in extract_datapipes(dataset):
try:
buffer_size = getattr(dp, "buffer_size")
except AttributeError:
continue

# TODO: replace this with the proper sentinel as soon as https://github.com/pytorch/data/issues/335 is
# resolved
assert buffer_size == INFINITE_BUFFER_SIZE


@parametrize_dataset_mocks(DATASET_MOCKS["qmnist"])
class TestQMNIST:
Expand Down