in ultravox/evaluation/eval.py [0:0]
def __post_init__(self):
assert self.data_type in ["bfloat16", "float16", "float32"]
if self.device == "cuda" and not torch.cuda.is_available():
self.device = "mps" if torch.backends.mps.is_available() else "cpu"
if self.device != "cuda":
if self.data_type == "bfloat16":
self.data_type = "float32"
if self.exp_name is None:
self.exp_name = datetime.datetime.now().strftime("exp--%Y-%m-%d--%H-%M-%S")
if self.output_dir is None:
self.output_dir = Path("runs") / self.exp_name