训练时报错 OSError: (External) CUDA error(719), unspecified launch failure.

[q465414859]

欢迎您使用PaddleClas并反馈相关问题，非常感谢您对PaddleClas的贡献！ 提出issue时，辛苦您提供以下信息，方便我们快速定位问题并及时有效地解决您的问题：

1. PaddleClas版本以及PaddlePaddle版本：请您提供您使用的版本号或分支信息，如PaddleClas release/2.2和PaddlePaddle 2.1.0
2. 涉及的其他产品使用的版本号：如您在使用PaddleClas的同时还在使用其他产品，如PaddleServing、PaddleInference等，请您提供其版本号
3. 训练环境信息：2.4 a. 具体操作系统，Windows10 b. Python版本号，Python38 c. CUDA/cuDNN版本， CUDA11.7
4. 完整的代码(相比于repo中代码，有改动的地方)、详细的错误信息及相关log

Error: C:\home\workspace\Paddle\paddle\phi\kernels\gpu\cross_entropy_kernel.cu:1010 Assertion false failed. The value of label expected >= 0 and < 7, or == -100, but got 29. Please check label value. Error: C:\home\workspace\Paddle\paddle\phi\kernels\gpu\cross_entropy_kernel.cu:1010 Assertion false failed. The value of label expected >= 0 and < 7, or == -100, but got 29. Please check label value. Error: C:\home\workspace\Paddle\paddle\phi\kernels\gpu\cross_entropy_kernel.cu:1010 Assertion false failed. The value of label expected >= 0 and < 7, or == -100, but got 29. Please check label value. Traceback (most recent call last): File "tools/train.py", line 32, in engine.train() File "F:\code\PaddleClas\ppcls\engine\engine.py", line 339, in train self.train_epoch_func(self, epoch_id, print_batch_step) File "F:\code\PaddleClas\ppcls\engine\train\train.py", line 54, in train_epoch loss_dict = engine.train_loss_func(out, batch[1]) File "F:\code\PaddleClas\ppcls\loss__init.py", line 58, in call__ loss = self.loss_func[0](input, batch) File "D:\anaconda\envs\PaddleClas\lib\site-packages\paddle\nn\layer\layers.py", line 1254, in call return self.forward(*inputs, **kwargs) File "F:\code\PaddleClas\ppcls\loss\celoss.py", line 57, in forward loss = F.cross_entropy(x, label=label, soft_label=soft_label) File "D:\anaconda\envs\PaddleClas\lib\site-packages\paddle\nn\functional\loss.py", line 2790, in cross_entropy if paddle.count_nonzero(is_ignore) > 0: # ignore label File "D:\anaconda\envs\PaddleClas\lib\site-packages\paddle\fluid\dygraph\tensor_patch_methods.py", line 673, in bool return self.nonzero() File "D:\anaconda\envs\PaddleClas\lib\site-packages\paddle\fluid\dygraph\tensor_patch_methods.py", line 670, in nonzero return bool(np.array(self) > 0) File "D:\anaconda\envs\PaddleClas\lib\site-packages\paddle\fluid\dygraph\tensor_patch_methods.py", line 696, in array array = self.numpy(False) OSError: (External) CUDA error(719), unspecified launch failure. [Hint: 'cudaErrorLaunchFailure'. An exception occurred on the device while executing a kernel. Common causes include dereferencing an invalid device pointerand accessing out of bounds shared memory. L ess common cases can be system specific - more information about these cases canbe found in the system specific user guide. This leaves the process in an inconsistent state and any further CUDA work willreturn the same error. To continue using CUDA, the process must be terminated and relaunched.] (at ..\paddle\phi\backends\gpu\cuda\cuda_info.cc:267) ········ 上面是报错信息

我得cuda环境是没问题的，训练OCR都可以。下面是配置文件与分类文件 ······ class_gt.txt PPLCNet_x1_0_search.txt

[q465414859]

class_gt.txt 生成的数据有写问题，但我已经修复了

[q465414859]

(PaddleClas) F:\code\PaddleClas>pip list Package Version

---

anyio 4.3.0 astor 0.8.1 Babel 2.14.0 bce-python-sdk 0.9.7 blinker 1.8.1 cachetools 5.3.3 certifi 2024.2.2 charset-normalizer 3.3.2 click 8.1.7 colorama 0.4.6 contourpy 1.1.1 cssselect 1.2.0 cssutils 2.10.2 cycler 0.12.1 Cython 3.0.10 decorator 5.1.1 easydict 1.13 et-xmlfile 1.1.0 exceptiongroup 1.2.1 faiss-cpu 1.8.0 Flask 3.0.3 flask-babel 4.0.0 fonttools 4.51.0 future 1.0.0 gast 0.3.3 h11 0.14.0 httpcore 1.0.5 httpx 0.27.0 idna 3.7 imageio 2.34.1 imgaug 0.4.0 importlib_metadata 7.1.0 importlib_resources 6.4.0 itsdangerous 2.2.0 Jinja2 3.1.3 joblib 1.4.2 kiwisolver 1.4.5 lazy_loader 0.4 Levenshtein 0.25.1 lmdb 1.4.1 lxml 5.2.1 MarkupSafe 2.1.5 matplotlib 3.7.5 networkx 3.1 numpy 1.24.4 opencv-contrib-python 4.4.0.46 opencv-python 4.6.0.66 openpyxl 3.1.2 opt-einsum 3.3.0 packaging 24.0 paddleclas 2.5.2 paddlepaddle-gpu 2.5.2 pandas 2.0.3 pillow 10.3.0 pip 24.0 premailer 3.10.0 prettytable 3.10.0 protobuf 3.20.2 psutil 5.9.8 pyclipper 1.3.0.post5 pycryptodome 3.20.0 pyparsing 3.1.2 python-dateutil 2.9.0.post0 python-Levenshtein 0.25.1 pytz 2024.1 PyWavelets 1.4.1 PyYAML 6.0.1 rapidfuzz 3.9.0 rarfile 4.2 requests 2.31.0 scikit-image 0.21.0 scikit-learn 1.3.2 scipy 1.10.1 setuptools 69.5.1 shapely 2.0.4 six 1.16.0 sniffio 1.3.1 threadpoolctl 3.5.0 tifffile 2023.7.10 tqdm 4.66.4 typing_extensions 4.11.0 tzdata 2024.1 ujson 5.9.0 urllib3 2.2.1 visualdl 2.5.3 wcwidth 0.2.13 Werkzeug 3.0.2 wheel 0.43.0 zipp 3.18.1

··························· 这里是pip list

[q465414859]

@Sunting78 能帮助下吗？

[cuicheng01]

修复完class_gt.txt之后报什么错呢

[q465414859]

修复完class_gt.txt之后报什么错呢

和原来一样，找个问题跟class_gt报错没关系

[cuicheng01]

现在的你的机器的共享内存有多大呢

[q465414859]

现在的你的机器的共享内存有多大呢

[cuicheng01]

你把numworker改为0看看还有问题吗？

[chinesejunzai12]

你好, 问题解决了么, 我也出现同样的问题了,数据集用的是百度推荐的数据集, 但是也会报错