From d46a542fae26009eee16204a81903862cb4dba73 Mon Sep 17 00:00:00 2001
From: aky15 <ankeyu.aky@11.17.44.249>
Date: 星期一, 10 四月 2023 16:02:41 +0800
Subject: [PATCH] Merge branch 'main' into dev_aky
---
funasr/bin/asr_inference_rnnt.py | 54 ++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 files changed, 54 insertions(+), 0 deletions(-)
diff --git a/funasr/bin/asr_inference_rnnt.py b/funasr/bin/asr_inference_rnnt.py
index f65bd07..768bf72 100644
--- a/funasr/bin/asr_inference_rnnt.py
+++ b/funasr/bin/asr_inference_rnnt.py
@@ -500,6 +500,7 @@
_bs = len(next(iter(batch.values())))
assert len(keys) == _bs, f"{len(keys)} != {_bs}"
+<<<<<<< HEAD
batch = {k: v[0] for k, v in batch.items() if not k.endswith("_lengths")}
assert len(batch.keys()) == 1
@@ -540,6 +541,59 @@
if text is not None:
ibest_writer["text"][key] = text
+=======
+ # batch = {k: v for k, v in batch.items() if not k.endswith("_lengths")}
+
+ logging.info("decoding, utt_id: {}".format(keys))
+ # N-best list of (text, token, token_int, hyp_object)
+
+ time_beg = time.time()
+ results = speech2text(cache=cache, **batch)
+ if len(results) < 1:
+ hyp = Hypothesis(score=0.0, scores={}, states={}, yseq=[])
+ results = [[" ", ["sil"], [2], hyp, 10, 6]] * nbest
+ time_end = time.time()
+ forward_time = time_end - time_beg
+ lfr_factor = results[0][-1]
+ length = results[0][-2]
+ forward_time_total += forward_time
+ length_total += length
+ rtf_cur = "decoding, feature length: {}, forward_time: {:.4f}, rtf: {:.4f}".format(length, forward_time, 100 * forward_time / (length * lfr_factor))
+ logging.info(rtf_cur)
+
+ for batch_id in range(_bs):
+ result = [results[batch_id][:-2]]
+
+ key = keys[batch_id]
+ for n, (text, token, token_int, hyp) in zip(range(1, nbest + 1), result):
+ # Create a directory: outdir/{n}best_recog
+ if writer is not None:
+ ibest_writer = writer[f"{n}best_recog"]
+
+ # Write the result to each file
+ ibest_writer["token"][key] = " ".join(token)
+ # ibest_writer["token_int"][key] = " ".join(map(str, token_int))
+ ibest_writer["score"][key] = str(hyp.score)
+ ibest_writer["rtf"][key] = rtf_cur
+
+ if text is not None:
+ text_postprocessed, word_lists = postprocess_utils.sentence_postprocess(token)
+ item = {'key': key, 'value': text_postprocessed}
+ asr_result_list.append(item)
+ finish_count += 1
+ # asr_utils.print_progress(finish_count / file_count)
+ if writer is not None:
+ ibest_writer["text"][key] = " ".join(word_lists)
+
+ logging.info("decoding, utt: {}, predictions: {}".format(key, text))
+ rtf_avg = "decoding, feature length total: {}, forward_time total: {:.4f}, rtf avg: {:.4f}".format(length_total, forward_time_total, 100 * forward_time_total / (length_total * lfr_factor))
+ logging.info(rtf_avg)
+ if writer is not None:
+ ibest_writer["rtf"]["rtf_avf"] = rtf_avg
+ return asr_result_list
+
+ return _forward
+>>>>>>> main
def get_parser():
--
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