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Functions1,198 in github.com/ASLP-lab/OSUM-Pangu

⨍ Functions 1,198◇ Types & classes 199
↓ 1 callersFunctionget_args
()
wenet/paraformer/convert_paraformer_to_wenet_config_and_ckpt.py:198
↓ 1 callersFunctionget_args
()
wenet/cli/transcribe.py:21
↓ 1 callersFunctionget_args
()
wenet/whisper/convert_whisper_to_wenet_config_and_ckpt.py:264
↓ 1 callersFunctionget_args
()
wenet/ssl/w2vbert/convert_w2vbert_to_wenet_config_and_ckpt.py:163
↓ 1 callersFunctionget_args
()
wenet/bin/train.py:62
↓ 1 callersFunctionget_args
()
wenet/bin/recognize4llmasr_for_token.py:37
↓ 1 callersFunctionget_args
()
wenet/bin/export_ipex.py:18
↓ 1 callersFunctionget_args
()
wenet/bin/recognize4llmasr.py:37
↓ 1 callersFunctionget_args
()
wenet/bin/recognize_onnx_gpu.py:65
↓ 1 callersFunctionget_args
()
wenet/bin/recognize.py:35
↓ 1 callersFunctionget_args
()
wenet/bin/export_jit.py:27
↓ 1 callersFunctionget_args
()
wenet/bin/average_model.py:24
↓ 1 callersFunctionget_args
()
wenet/bin/recognize4chat.py:37
↓ 1 callersFunctionget_downsampler
(downsample_rate, ndim=1280)
wenet/llm_asr/downsampler.py:222
↓ 1 callersFunctionget_env
(pass_envs)
tools/ssh_launcher.py:87
↓ 1 callersFunctionget_frames_timestamp
(alignment, prob, blank_thres=0.999,
wenet/bin/alignment.py:55
↓ 1 callersFunctionget_labformat
(timestamp, subsample)
wenet/bin/alignment.py:88
↓ 1 callersFunctionget_nested_attr
(module, attr_path)
wenet/finetune/lora/utils.py:17
↓ 1 callersFunctionget_nested_attribute
(obj, attr_path)
wenet/utils/common.py:327
↓ 1 callersFunctionget_parser
()
tools/text2token.py:38
↓ 1 callersFunctionget_parser
()
tools/merge_scp2txt.py:41
↓ 1 callersFunctiongumbel
Sample Gumbel random values with given shape and float dtype. The values are distributed according to the probability density function: .. m
wenet/ssl/wav2vec2/quantizer.py:5
↓ 1 callersMethodids2tokens
(self, ids: List[int])
wenet/text/base_tokenizer.py:32
↓ 1 callersFunctionif_have_other_name
(text)
wenet/dataset/process/processor_tag_think.py:584
↓ 1 callersFunctionif_have_other_name
(text)
wenet/dataset/process/processor.py:593
↓ 1 callersFunctionif_have_other_name
(text)
wenet/dataset/process/processor_language_think.py:593
↓ 1 callersFunctionif_have_other_name
(text)
wenet/dataset/process/processor_tmp.py:536
↓ 1 callersFunctioninit_asr_big_dataset
(data_type, data_list_file_s2t, data_list_file_t2s,
wenet/utils/init_dataset.py:15
↓ 1 callersFunctioninit_asr_dataset
(data_type, data_list_file, tokenizer: Optional[BaseTokenizer] = Non
wenet/utils/init_dataset.py:8
↓ 1 callersFunctioninit_big_dataset
(dataset_type, data_type, data_list_file_s2t, data_list_fil
wenet/utils/init_dataset.py:53
↓ 1 callersFunctioninit_causal_llm
(configs)
wenet/utils/init_model.py:177
↓ 1 callersFunctioninit_dataset_and_dataloader
(args, configs, tokenizer, seed=777)
wenet/utils/train_utils.py:376
↓ 1 callersFunctioninit_distributed
(args)
wenet/utils/train_utils.py:262
↓ 1 callersFunctioninit_llmasr
(args, configs, is_inference=False)
wenet/llm_asr/init_llmasr.py:13
↓ 1 callersFunctioninit_optimizer_and_scheduler
(args, configs, model)
wenet/utils/train_utils.py:510
↓ 1 callersFunctioninit_scaler
(args)
wenet/utils/train_utils.py:610
↓ 1 callersFunctioninit_speech_model
(args, configs)
wenet/utils/init_model.py:94
↓ 1 callersMethodinit_state
(self, batch_size: int, device: torch.device, method:
wenet/transducer/predictor.py:247
↓ 1 callersMethodinit_state
(self, batch_size: int, device: torch.device, method:
wenet/transducer/predictor.py:410
↓ 1 callersFunctioninit_summarywriter
(args)
wenet/utils/train_utils.py:601
↓ 1 callersMethodinit_weights
(self)
wenet/squeezeformer/positionwise_feed_forward.py:59
↓ 1 callersMethodinit_weights
(self)
wenet/squeezeformer/subsampling.py:142
↓ 1 callersMethodinit_weights
(self)
wenet/squeezeformer/subsampling.py:207
↓ 1 callersMethodinit_weights
(self)
wenet/squeezeformer/subsampling.py:286
↓ 1 callersMethodinit_weights
(self)
wenet/squeezeformer/attention.py:61
↓ 1 callersMethodinit_weights
(self)
wenet/squeezeformer/convolution.py:102
↓ 1 callersFunctioninject_lora
(module, lora_config)
wenet/finetune/lora/utils.py:27
↓ 1 callersFunctioninject_lora_to_model
(model, lora_config)
wenet/finetune/lora/utils.py:41
↓ 1 callersMethodis_bidirectional_decoder
Returns: torch.Tensor: decoder output
wenet/transformer/asr_model.py:470
↓ 1 callersFunctionis_torch_npu_available
check if torch_npu is available. torch_npu is a npu adapter of PyTorch
wenet/utils/common.py:365
↓ 1 callersFunctionkaldi2json
(kaldi_cmvn_file)
tools/cmvn_kaldi2json.py:8
↓ 1 callersFunctionload_cmvn
(cmvn_file, is_json)
wenet/utils/cmvn.py:88
↓ 1 callersFunctionload_dict_list_from_jsonl
(jsonl_file_path)
wenet/dataset/process/processor_tag_think.py:106
↓ 1 callersFunctionload_dict_list_from_jsonl
(jsonl_file_path)
wenet/dataset/process/processor.py:100
↓ 1 callersFunctionload_dict_list_from_jsonl
(jsonl_file_path)
wenet/dataset/process/processor_language_think.py:100
↓ 1 callersMethodload_lfmmi_resource
(self)
wenet/k2/model.py:69
↓ 1 callersFunctionload_model
(language: str = None, model_dir: str = None, gpu: int = -1, beam
wenet/cli/model.py:160
↓ 1 callersFunctionload_wav_scp
(wav_scp_file)
tools/compute_fbank_feats.py:51
↓ 1 callersFunctionload_wav_scp_dict
(wav_scp_file)
tools/compute_fbank_feats.py:62
↓ 1 callersFunctionload_wav_segments
(wav_scp_file, segments_file)
tools/compute_fbank_feats.py:73
↓ 1 callersFunctionlog_per_epoch
(writer, info_dict)
wenet/utils/train_utils.py:885
↓ 1 callersFunctionmain
()
tools/compute_shard_cmvn_stats.py:167
↓ 1 callersFunctionmain
()
tools/latency_metrics.py:81
↓ 1 callersFunctionmain
()
tools/text2token.py:89
↓ 1 callersFunctionmain
()
tools/analyze_dataset.py:134
↓ 1 callersFunctionmain
()
tools/extract_shard_data.py:130
↓ 1 callersFunctionmain
(args)
tools/websocket/performance-ws.py:104
↓ 1 callersFunctionmain
()
tools/k2/prepare_char.py:218
↓ 1 callersFunctionmain
()
wenet/paraformer/convert_paraformer_to_wenet_config_and_ckpt.py:285
↓ 1 callersFunctionmain
()
wenet/cli/transcribe.py:71
↓ 1 callersFunctionmain
()
wenet/whisper/convert_whisper_to_wenet_config_and_ckpt.py:281
↓ 1 callersFunctionmain
()
wenet/ssl/w2vbert/convert_w2vbert_to_wenet_config_and_ckpt.py:181
↓ 1 callersFunctionmain
()
wenet/bin/train.py:98
↓ 1 callersFunctionmain
()
wenet/bin/export_onnx_cpu.py:414
↓ 1 callersFunctionmain
()
wenet/bin/recognize4llmasr_for_token.py:205
↓ 1 callersFunctionmain
()
wenet/bin/export_ipex.py:47
↓ 1 callersFunctionmain
()
wenet/bin/recognize4llmasr.py:205
↓ 1 callersFunctionmain
()
wenet/bin/recognize_onnx_gpu.py:110
↓ 1 callersFunctionmain
()
wenet/bin/recognize.py:203
↓ 1 callersFunctionmain
()
wenet/bin/export_jit.py:39
↓ 1 callersFunctionmain
()
wenet/bin/average_model.py:64
↓ 1 callersFunctionmain
()
wenet/bin/recognize4chat.py:205
↓ 1 callersFunctionmake_calibration_data
(enc, args, conf, tokenizer)
tools/onnx2horizonbin.py:78
↓ 1 callersFunctionmake_fence_distortion
Generate a fence distortion function In this fence-like shape function, the values in mask slots are set to maxium, while the values not in m
wenet/dataset/wav_distortion.py:147
↓ 1 callersFunctionmake_gain_db
Generate a db domain gain function Args: conf: a dict {'db': #float} 'db': the gaining value Returns: The db gai
wenet/dataset/wav_distortion.py:243
↓ 1 callersFunctionmake_jag_distortion
Generate a jag distortion function In this jag-like shape function, the values in mask slots are not changed, while the values not in mask sl
wenet/dataset/wav_distortion.py:196
↓ 1 callersFunctionmake_max_distortion
Generate a max distortion function Args: conf: a dict {'max_db': float } 'max_db': the maxium value. Returns: Th
wenet/dataset/wav_distortion.py:76
↓ 1 callersFunctionmake_quad_distortion
()
wenet/dataset/wav_distortion.py:71
↓ 1 callersFunctionmark_only_lora_as_trainable
(model: nn.Module, bias: str = 'none')
wenet/finetune/lora/utils.py:58
↓ 1 callersFunctionmay_get_assets_and_refine_args
(args)
wenet/paraformer/convert_paraformer_to_wenet_config_and_ckpt.py:254
↓ 1 callersMethodoverall
(self)
tools/compute-cer.py:225
↓ 1 callersMethodoverall
(self)
tools/compute-wer.py:218
↓ 1 callersMethodpad4group
q: (#batch, time1, size) -> (#batch, head, time1, size/head) k,v: (#batch, time2, size) -> (#batch, head, time2, size/head) p
wenet/efficient_conformer/attention.py:82
↓ 1 callersFunctionparaformer_beam_search
(decoder_out: torch.Tensor, decoder_out_lens: torch.Tensor,
wenet/paraformer/search.py:180
↓ 1 callersFunctionparaformer_beautify_result
(tokens: List[str])
wenet/paraformer/search.py:57
↓ 1 callersMethodparse_file_list
(self)
tools/compute_shard_cmvn_stats.py:83
↓ 1 callersMethodparse_file_list
(self)
tools/extract_shard_data.py:37
↓ 1 callersFunctionparse_hostfile
(hostfile, convert_ip=True)
tools/ssh_launcher.py:47
↓ 1 callersFunctionparse_opts
()
tools/compute_fbank_feats.py:24
↓ 1 callersMethodposition_encoding
(self, offset: Union[int, torch.Tensor], size: int,
wenet/transformer/embedding.py:231
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