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Types & classes49 in github.com/QwenLM/Qwen-Audio

↓ 6 callersClassLinear
audio.py:229
↓ 4 callersClassLayerNorm
audio.py:221
↓ 3 callersClassRMSNorm
modeling_qwen.py:1412
↓ 2 callersClassConv1d
audio.py:238
↓ 2 callersClassEvaluationTokenizer
A generic evaluation-time tokenizer, which leverages built-in tokenizers in sacreBLEU (https://github.com/mjpost/sacrebleu). It additionally provi
eval_audio/evaluate_tokenizer.py:9
↓ 2 callersClassMultiHeadAttention
audio.py:256
↓ 2 callersClassStopWordsLogitsProcessor
:class:`transformers.LogitsProcessor` that enforces that when specified sequences appear, stop geration. Args: stop_words_ids (:obj:
qwen_generation_utils.py:316
↓ 1 callersClassAudioDataset
eval_audio/evaluate_note_analysis.py:51
↓ 1 callersClassAudioDataset
eval_audio/evaluate_asr.py:26
↓ 1 callersClassAudioDataset
eval_audio/evaluate_vocal_sound.py:22
↓ 1 callersClassAudioDataset
eval_audio/evaluate_caption.py:56
↓ 1 callersClassAudioDataset
eval_audio/evaluate_st.py:20
↓ 1 callersClassAudioDataset
eval_audio/evaluate_aqa.py:22
↓ 1 callersClassAudioDataset
eval_audio/evaluate_scene.py:23
↓ 1 callersClassAudioDataset
eval_audio/evaluate_srwt.py:24
↓ 1 callersClassAudioDataset
eval_audio/evaluate_emotion.py:22
↓ 1 callersClassAudioEncoder
audio.py:336
↓ 1 callersClassAverageShiftCalculator
eval_audio/evaluate_srwt.py:125
↓ 1 callersClassChromaAccuracy
Score specifically for pitch detection -- converts all pitches to chroma first. This score ignores octave errors in pitch classification.
eval_audio/heareval_score.py:160
↓ 1 callersClassCocoTokenizer
eval_audio/metrics.py:86
↓ 1 callersClassFlashSelfAttention
modeling_qwen.py:147
↓ 1 callersClassInferenceSampler
eval_audio/evaluate_note_analysis.py:90
↓ 1 callersClassInferenceSampler
eval_audio/evaluate_asr.py:66
↓ 1 callersClassInferenceSampler
eval_audio/evaluate_vocal_sound.py:61
↓ 1 callersClassInferenceSampler
eval_audio/evaluate_caption.py:96
↓ 1 callersClassInferenceSampler
eval_audio/evaluate_st.py:61
↓ 1 callersClassInferenceSampler
eval_audio/evaluate_aqa.py:62
↓ 1 callersClassInferenceSampler
eval_audio/evaluate_scene.py:62
↓ 1 callersClassInferenceSampler
eval_audio/evaluate_srwt.py:64
↓ 1 callersClassInferenceSampler
eval_audio/evaluate_emotion.py:61
↓ 1 callersClassQWenAttention
modeling_qwen.py:240
↓ 1 callersClassQWenBlock
modeling_qwen.py:579
↓ 1 callersClassQWenMLP
modeling_qwen.py:560
↓ 1 callersClassQWenModel
modeling_qwen.py:679
↓ 1 callersClassResidualAttentionBlock
audio.py:304
↓ 1 callersClassRotaryEmbedding
modeling_qwen.py:1341
↓ 1 callersClassTop1Accuracy
eval_audio/heareval_score.py:138
ClassAUCROC
AUCROC (macro mode) is calculated per class followed by averaging across the classes
eval_audio/heareval_score.py:345
ClassDPrime
DPrime is calculated per class followed by averaging across the classes Code adapted from code provided by Eduoard Fonseca.
eval_audio/heareval_score.py:319
ClassEventBasedScore
event-based scores - the ground truth and system output are compared at event instance level; See https://tut-arg.github.io/sed_eval/gen
eval_audio/heareval_score.py:279
ClassMeanAveragePrecision
Average Precision is calculated in macro mode which calculates AP at a class level followed by macro-averaging across the classes.
eval_audio/heareval_score.py:291
ClassModelDimensions
audio.py:208
ClassQWenConfig
configuration_qwen.py:9
ClassQWenLMHeadModel
modeling_qwen.py:957
ClassQWenPreTrainedModel
modeling_qwen.py:641
ClassQWenTokenizer
QWen tokenizer.
tokenization_qwen.py:115
ClassScoreFunction
A simple abstract base class for score functions
eval_audio/heareval_score.py:91
ClassSegmentBasedScore
segment-based scores - the ground truth and system output are compared in a fixed time grid; sound events are marked as active or inactive in
eval_audio/heareval_score.py:267
ClassSoundEventScore
Scores for sound event detection tasks using sed_eval
eval_audio/heareval_score.py:185