taco/microWakeWord-Trainer-Nvidia-Docker
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Release NVIDIA WakeWord Trainer v19

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This commit is contained in:
MasterPhooey
2026-07-26 11:23:35 -05:00
parent 6ee228e8d3
commit 518df63161
4 changed files with 108 additions and 6 deletions
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65
tests/test_auto_train.py
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@@ -43,12 +43,14 @@ class AutoTrainTests(unittest.TestCase):
trainer.PERSONAL_DIR,
trainer.AUTO_TRAIN_CONFIG_FILE,
trainer.AUTO_TRAIN_STATE_FILE,
trainer.AUTO_TRAIN_MODEL_DIR,
)
trainer.CAPTURED_DIR = root / "captured_audio"
trainer.NEGATIVE_DIR = root / "negative_samples"
trainer.PERSONAL_DIR = root / "personal_samples"
trainer.AUTO_TRAIN_CONFIG_FILE = root / "auto_train_config.json"
trainer.AUTO_TRAIN_STATE_FILE = root / "auto_train_state.json"
trainer.AUTO_TRAIN_MODEL_DIR = root / "auto_train_models"
for directory in (trainer.CAPTURED_DIR, trainer.NEGATIVE_DIR, trainer.PERSONAL_DIR):
directory.mkdir(parents=True)
@@ -75,6 +77,7 @@ class AutoTrainTests(unittest.TestCase):
trainer.PERSONAL_DIR,
trainer.AUTO_TRAIN_CONFIG_FILE,
trainer.AUTO_TRAIN_STATE_FILE,
trainer.AUTO_TRAIN_MODEL_DIR,
) = self.original_paths
trainer.AUTO_TRAIN_CONFIG.clear()
trainer.AUTO_TRAIN_CONFIG.update(self.original_config)
@@ -160,8 +163,17 @@ class AutoTrainTests(unittest.TestCase):
def test_parakeet_loader_prefers_cuda_then_cpu(self):
fake_model = object()
fake_onnx_asr = SimpleNamespace(load_model=Mock(return_value=fake_model))
fake_huggingface_hub = SimpleNamespace(
snapshot_download=Mock(return_value=str(trainer.AUTO_TRAIN_MODEL_DIR))
)
with (
patch.dict(sys.modules, {"onnx_asr": fake_onnx_asr}),
patch.dict(
sys.modules,
{
"onnx_asr": fake_onnx_asr,
"huggingface_hub": fake_huggingface_hub,
},
),
patch.object(
trainer,
"_parakeet_onnx_providers",
@@ -173,6 +185,57 @@ class AutoTrainTests(unittest.TestCase):
loaded = trainer._load_parakeet_onnx_model()
self.assertIs(loaded, fake_model)
fake_huggingface_hub.snapshot_download.assert_called_once_with(
repo_id=trainer.DEFAULT_PARAKEET_ONNX_REPO,
local_dir=str(trainer.AUTO_TRAIN_MODEL_DIR),
allow_patterns=[
"config.json",
"vocab.txt",
"encoder-model.int8.onnx",
"encoder-model.int8.onnx.data",
"decoder_joint-model.int8.onnx",
"decoder_joint-model.int8.onnx.data",
],
)
fake_onnx_asr.load_model.assert_called_once_with(
trainer.DEFAULT_PARAKEET_ONNX_MODEL,
str(trainer.AUTO_TRAIN_MODEL_DIR),
quantization="int8",
providers=["CUDAExecutionProvider", "CPUExecutionProvider"],
)
def test_parakeet_loader_reuses_complete_snapshot_offline(self):
fake_model = object()
fake_onnx_asr = SimpleNamespace(load_model=Mock(return_value=fake_model))
fake_huggingface_hub = SimpleNamespace(snapshot_download=Mock())
trainer.AUTO_TRAIN_MODEL_DIR.mkdir(parents=True, exist_ok=True)
for filename in (
"config.json",
"vocab.txt",
"encoder-model.int8.onnx",
"decoder_joint-model.int8.onnx",
):
(trainer.AUTO_TRAIN_MODEL_DIR / filename).touch()
with (
patch.dict(
sys.modules,
{
"onnx_asr": fake_onnx_asr,
"huggingface_hub": fake_huggingface_hub,
},
),
patch.object(
trainer,
"_parakeet_onnx_providers",
return_value=["CUDAExecutionProvider", "CPUExecutionProvider"],
),
):
with trainer.PARAKEET_ONNX_MODEL_LOCK:
trainer.PARAKEET_ONNX_MODEL_CACHE.clear()
loaded = trainer._load_parakeet_onnx_model()
self.assertIs(loaded, fake_model)
fake_huggingface_hub.snapshot_download.assert_not_called()
fake_onnx_asr.load_model.assert_called_once_with(
trainer.DEFAULT_PARAKEET_ONNX_MODEL,
str(trainer.AUTO_TRAIN_MODEL_DIR),