| | |
| | | class AutoModel: |
| | | |
| | | def __init__(self, **kwargs): |
| | | tables.print() |
| | | if kwargs.get("disable_log", False): |
| | | tables.print() |
| | | |
| | | model, kwargs = self.build_model(**kwargs) |
| | | |
| | |
| | | f"time_escape: {time_escape_total_per_sample:0.3f}") |
| | | |
| | | |
| | | end_total = time.time() |
| | | time_escape_total_all_samples = end_total - beg_total |
| | | print(f"rtf_avg_all: {time_escape_total_all_samples / time_speech_total_all_samples:0.3f}, " |
| | | f"time_speech_all: {time_speech_total_all_samples: 0.3f}, " |
| | | f"time_escape_all: {time_escape_total_all_samples:0.3f}") |
| | | # end_total = time.time() |
| | | # time_escape_total_all_samples = end_total - beg_total |
| | | # print(f"rtf_avg_all: {time_escape_total_all_samples / time_speech_total_all_samples:0.3f}, " |
| | | # f"time_speech_all: {time_speech_total_all_samples: 0.3f}, " |
| | | # f"time_escape_all: {time_escape_total_all_samples:0.3f}") |
| | | return results_ret_list |
| | | |