| | |
|---|
| | | logging.info(rtf_avg) |
|---|
| | | if writer is not None: |
|---|
| | | ibest_writer["rtf"]["rtf_avf"] = rtf_avg |
|---|
| | | torch.cuda.empty_cache() |
|---|
| | | return asr_result_list |
|---|
| | | |
|---|
| | | return _forward |
|---|
| | |
|---|
| | | ibest_writer["time_stamp"][key] = "{}".format(time_stamp_postprocessed) |
|---|
| | | |
|---|
| | | logging.info("decoding, utt: {}, predictions: {}".format(key, text_postprocessed_punc)) |
|---|
| | | torch.cuda.empty_cache() |
|---|
| | | return asr_result_list |
|---|
| | | |
|---|
| | | return _forward |
|---|
| | |
|---|
| | | right_context: Number of frames in right context AFTER subsampling. |
|---|
| | | display_partial_hypotheses: Whether to display partial hypotheses. |
|---|
| | | """ |
|---|
| | | # assert check_argument_types() |
|---|
| | | |
|---|
| | | if batch_size > 1: |
|---|
| | | raise NotImplementedError("batch decoding is not implemented") |
|---|
