def test_combine(manifest_type):
expected = DummyManifest(manifest_type, begin_id=0, end_id=200)
combined = combine(
DummyManifest(manifest_type, begin_id=0, end_id=68),
DummyManifest(manifest_type, begin_id=68, end_id=136),
DummyManifest(manifest_type, begin_id=136, end_id=200),
)
assert combined == expected
def test_split_randomize(manifest_type):
manifest = DummyManifest(manifest_type, begin_id=0, end_id=100)
manifest_subsets = manifest.split(num_splits=2, randomize=True)
assert len(manifest_subsets) == 2
recombined_items = list(manifest_subsets[0]) + list(manifest_subsets[1])
assert len(recombined_items) == len(manifest)
# Different ordering (we convert to lists first because the *Set classes might internally
# re-order after concatenation, e.g. by using dict or post-init sorting)
assert recombined_items != list(manifest)
def test_split_even(manifest_type):
manifest = DummyManifest(manifest_type, begin_id=0, end_id=100)
manifest_subsets = split(manifest, num_splits=2)
assert len(manifest_subsets) == 2
assert manifest_subsets[0] == DummyManifest(manifest_type,
begin_id=0,
end_id=50)
assert manifest_subsets[1] == DummyManifest(manifest_type,
begin_id=50,
end_id=100)
def test_split_odd(manifest_type):
manifest = DummyManifest(manifest_type, begin_id=0, end_id=100)
manifest_subsets = split(manifest, num_splits=3)
assert len(manifest_subsets) == 3
assert manifest_subsets[0] == DummyManifest(manifest_type,
begin_id=0,
end_id=34)
assert manifest_subsets[1] == DummyManifest(manifest_type,
begin_id=34,
end_id=68)
assert manifest_subsets[2] == DummyManifest(manifest_type,
begin_id=68,
end_id=100)
def test_k2_speech_recognition_iterable_dataset_shuffling():
# The dummy cuts have a duration of 1 second each
cut_set = DummyManifest(CutSet, begin_id=0, end_id=100)
dataset = K2SpeechRecognitionIterableDataset(
cuts=cut_set,
shuffle=True,
# Set an effective batch size of 10 cuts, as all have 1s duration == 100 frames
# This way we're testing that it works okay when returning multiple batches in
# a full epoch.
max_frames=1000
)
dloader = DataLoader(dataset, batch_size=None, num_workers=2)
dloader_cut_ids = []
batches = []
for batch in dloader:
batches.append(batch)
dloader_cut_ids.extend(list(batch['supervisions']['cut_id']))
# Invariant 1: we receive the same amount of items in a dataloader epoch as there we in the CutSet
assert len(dloader_cut_ids) == len(cut_set)
# Invariant 2: the items are not duplicated
assert len(set(dloader_cut_ids)) == len(dloader_cut_ids)
# Invariant 3: the items are shuffled, i.e. the order is different than that in the CutSet
assert dloader_cut_ids != [c.id for c in cut_set]
def test_add_feature_sets():
expected = DummyManifest(FeatureSet, begin_id=0, end_id=10)
feature_set_1 = DummyManifest(FeatureSet, begin_id=0, end_id=5)
feature_set_2 = DummyManifest(FeatureSet, begin_id=5, end_id=10)
combined = feature_set_1 + feature_set_2
assert combined == expected
def test_cannot_split_to_more_chunks_than_items(manifest_type):
manifest = DummyManifest(manifest_type, begin_id=0, end_id=1)
with pytest.raises(ValueError):
manifest.split(num_splits=10)
def test_add_audio_sets():
expected = DummyManifest(RecordingSet, begin_id=0, end_id=10)
audio_set_1 = DummyManifest(RecordingSet, begin_id=0, end_id=5)
audio_set_2 = DummyManifest(RecordingSet, begin_id=5, end_id=10)
combined = audio_set_1 + audio_set_2
assert combined == expected
def test_add_recording_sets():
expected = DummyManifest(RecordingSet, begin_id=0, end_id=10)
recording_set_1 = DummyManifest(RecordingSet, begin_id=0, end_id=5)
recording_set_2 = DummyManifest(RecordingSet, begin_id=5, end_id=10)
combined = recording_set_1 + recording_set_2
assert combined == expected
def test_add_supervision_sets():
expected = DummyManifest(SupervisionSet, begin_id=0, end_id=10)
supervision_set_1 = DummyManifest(SupervisionSet, begin_id=0, end_id=5)
supervision_set_2 = DummyManifest(SupervisionSet, begin_id=5, end_id=10)
combined = supervision_set_1 + supervision_set_2
assert combined == expected
