Using TensorFlow backend. Traceback (most recent call last): File "train.py", line 9, in <module>

yolo程序里报错

Using TensorFlow backend.

Traceback (most recent call last):

  File "train.py", line 9, in <module>

    from generator import BatchGenerator

  File "/home/zxy/GraduationDesign/hoop-detect/keras-yolo3-master/generator.py", line 4, in <module>

    from keras.utils import Sequence

ImportError: cannot import name 'Sequence'

 

 

解决:pip install keras==2.0.8

Traceback (most recent call last): File "Cnn_train_mel_spec.py", line 150, in <module> x_train, y_train, x_dev, y_dev = data_pre(&#39;file/&#39;, class_num=10) File "Cnn_train_mel_spec.py", line 26, in data_pre x_train.append(get_mel_spec(wenjian)) File "/mnt/workspace/wwbs/NN1/NN1/get_features.py", line 48, in get_mel_spec y, sr = librosa.load(file, sr=None) File "/usr/local/lib/python3.6/dist-packages/librosa/util/decorators.py", line 88, in inner_f return f(*args, **kwargs) File "/usr/local/lib/python3.6/dist-packages/librosa/core/audio.py", line 170, in load y, sr_native = __audioread_load(path, offset, duration, dtype) File "/usr/local/lib/python3.6/dist-packages/librosa/core/audio.py", line 226, in __audioread_load reader = audioread.audio_open(path) File "/usr/local/lib/python3.6/dist-packages/audioread/__init__.py", line 127, in audio_open return BackendClass(path) File "/usr/local/lib/python3.6/dist-packages/audioread/rawread.py", line 59, in __init__ self._fh = open(filename, &#39;rb&#39;) FileNotFoundError: [Errno 2] No such file or directory: &#39;D:\\BS\\GMM\\data\\train\\打开暖气\\B27.wav&#39; /mnt/workspace/wwbs/NN1/NN1> python Cnn_train_mfcc.py Using TensorFlow backend. 2025-05-09 21:20:26.628494: I tensorflow/stream_executor/platform/default/dso_loader.cc:50] Successfully opened dynamic library libcudart.so.11.0 2025-05-09 21:20:26.635844: I tensorflow/stream_executor/platform/default/dso_loader.cc:50] Successfully opened dynamic library libcudart.so.11.0 [2025-05-09 21:20:27,563.563 dsw-561703-5f8559465f-ptmqr:1267 INFO tf_debug.py:27] NOTICE: USE_PAIDEBUG is not set to be positive or python version is < 3.6. TF_DEBUG is turned off. Traceback (most recent call last): File "Cnn_train_mfcc.py", line 150, in <module> x_train, y_train, x_dev, y_dev = data_pre(&#39;file/&#39;, class_num=10) File "Cnn_train_mfcc.py", line 26, in data_pre x_train.append(get_mfcc(wenjian)) File "/mnt/workspace/wwbs/NN1/NN1/get_features.py", line 13, in get_mfcc fs, audio = wav.read(file) # audio 音频波形信号 fs 采样率 File "/usr/local/lib/python3.6/dist-packages/scipy/io/wavfile.py", line 544, in read fid = open(filename, &#39;rb&#39;) FileNotFoundError: [Errno 2] No such file or directory: &#39;D:\\BS\\GMM\\data\\train\\打开暖气\\B27.wav&#39;
05-10
[INFO|2025-03-26 18:52:38] llamafactory.model.model_utils.checkpointing:143 >> Gradient checkpointing enabled. [INFO|2025-03-26 18:52:38] llamafactory.model.model_utils.attention:143 >> Using torch SDPA for faster training and inference. [INFO|2025-03-26 18:52:38] llamafactory.model.adapter:143 >> ZeRO3 / FSDP detected, remaining trainable params in float32. [INFO|2025-03-26 18:52:38] llamafactory.model.adapter:143 >> Fine-tuning method: LoRA [INFO|2025-03-26 18:52:38] llamafactory.model.model_utils.misc:143 >> Found linear modules: q_proj,o_proj,v_proj,down_proj,gate_proj,up_proj,k_proj No label_names provided for model class `PeftModelForCausalLM`. Since `PeftModel` hides base models input arguments, if label_names is not given, label_names can&#39;t be set automatically within `Trainer`. Note that empty label_names list will be used instead. [INFO|2025-03-26 18:52:40] llamafactory.model.loader:143 >> trainable params: 67,108,864 || all params: 32,830,985,216 || trainable%: 0.2044 [INFO|trainer.py:746] 2025-03-26 18:52:40,166 >> Using auto half precision backend [WARNING|trainer.py:781] 2025-03-26 18:52:40,167 >> No label_names provided for model class `PeftModelForCausalLM`. Since `PeftModel` hides base models input arguments, if label_names is not given, label_names can&#39;t be set automatically within `Trainer`. Note that empty label_names list will be used instead. [rank1]: Traceback (most recent call last): [rank1]: File "/liindata/LLaMA-Factory/src/llamafactory/launcher.py", line 23, in <module> [rank1]: launch() [rank1]: File "/liindata/LLaMA-Factory/src/llamafactory/launcher.py", line 19, in launch [rank1]: run_exp() [rank1]: File "/liindata/LLaMA-Factory/src/llamafactory/train/tuner.py", line 103, in run_exp [rank1]: _training_function(config={"args": args, "callbacks": callbacks}) [rank1]: File "/liindata/LLaMA-Factory/src/llamafactory/train/tuner.py", line 68, in _training_function [rank1]: run_sft(model_args, data_args, training_args,
03-27
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值