Closed nissansz closed 5 months ago
是遇到报错了么?运行的什么命令呢?
empty_cache只是释放不用的显存空间,一般不需要手动调用
是遇到报错了么?运行的什么命令呢?
就是在生成完一张图片时,我就用paddleocr.py识别图片的结果,报错如下,不知道有没有可以避免这种错误的识别方法
File "C:\F\pycharm2020.2\PaddleOCR-2.7.5\paddleocr.py", line 712, in ocr rec_res, elapse = self.text_recognizer(img) File "C:\F\pycharm2020.2\PaddleOCR-2.7.5\tools\infer\predict_rec.py", line 669, in call self.input_tensor.copy_from_cpu(norm_img_batch) File "C:\Program Files\Python38\lib\site-packages\paddle\fluid\inference\wrapper.py", line 36, in tensor_copy_from_cpu self.copy_from_cpu_bind(data) 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. Less 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:251)
试一下这个呢?
import paddle
paddle.utils.install_check.run_check()
checkgpu.py Running verify PaddlePaddle program ... W0416 11:22:26.553992 9688 gpu_resources.cc:61] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 10.2, Runtime API Version: 10.2 W0416 11:22:26.973874 9688 gpu_resources.cc:91] device: 0, cuDNN Version: 7.6. PaddlePaddle works well on 1 GPU. PaddlePaddle works well on 1 GPUs. PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now.
Process finished with exit code 0
paddle版本、cuda、cudnn版本是多少呢?
paddleocr2.7.5, cuda 10
paddlepaddle-gpu版本是多少?新版的paddle已经不支持cuda10了
2.3.2
cuda10.2好像还可以训练
paddle2.3.2是支持cuda10.2的,但是2.3.2是很老的版本了,目前最新已经是2.6.1了。我查了一下,最新的支持10.2的paddle是这个,可以重新安装一下试试:https://paddle-wheel.bj.bcebos.com/2.5.2/linux/linux-gpu-cuda10.2-cudnn7-mkl-gcc8.2-avx/paddlepaddle_gpu-2.5.2.post102-cp38-cp38-linux_x86_64.whl
我是win10
谢谢。这个对于准确率有改善吗?
另外就是,用了这个版本可以一边加载图片识别,一边训练吗?
------------------ 原始邮件 ------------------
发件人: Tingquan Gao @.***>
发送时间: 2024-04-16 15:34:41
收件人:PaddlePaddle/PaddleOCR @.***>
抄送:nissanjp @.>,Author @.>
主题: Re: [PaddlePaddle/PaddleOCR] 这个代码可以解决爆显存吗?要加在哪些文件里? (Issue #11907)
— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>
对准确率没有影响;得先解决报错的问题才行。
如果想在训练时加载图片前识别,该用哪种方式识别?
识别完释放显存 不占显存
------------------ 原始邮件 ------------------
发件人: Tingquan Gao @.***>
发送时间: 2024-04-16 15:43:36
收件人:PaddlePaddle/PaddleOCR @.***>
抄送:nissanjp @.>,Author @.>
主题: Re: [PaddlePaddle/PaddleOCR] 这个代码可以解决爆显存吗?要加在哪些文件里? (Issue #11907)
对准确率没有影响;得先解决报错的问题才行。
— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>
现在就是怀疑是因为paddle版本导致的显存未正常释放,所以想换一下paddle版本试试。
我先安装试试。
resnet34 和 svtr准确率哪个高?好像svtr训练速度特别慢
装了 2.5.2,直接报错了,。
File "C:\F\pycharm2020.2\PaddleOCR-2.7.5\ppocr\data\simple_dataset.py", line 36, in
继续用2.3.2,开始可以识别的。以下是部分结果,剔除0.15以下,0.95以上的
result5-3-[[('Co', 0.07527747005224228)]] result14-[[('收縮自毛YEVGE', 0.9239646196365356)]] result14-[[('ぬら化。穷촬ャ转。0/27', 0.7019428610801697)]] result14-[[('PEDEPIO', 0.8143212199211121)]] result14-[[(' Basest 衰替 1:6', 0.935200572013855)]] result14-[[('WITTOP', 0.4973234236240387)]] result5-[[('hebbenrean1l', 0.5594083666801453)]] result14-[[('蜂튎丣值解!つ', 0.8142125010490417)]] result14-[[('GYPSY DESC', 0.9921039342880249)]] result4-1-[[('GYPSY DESC', 0.9921039342880249)]] result4-2-[[('GYPSY DESC', 0.9954227209091187)]] result4-3-[[('GYPSY DESC', 0.9990944862365723)]] result4-4-[[('GYPSY DESC', 0.996280312538147)]] result14-[[('汗汁,cominte', 0.9927375912666321)]] result4-1-[[('汗汁,cominte', 0.9927375912666321)]] result4-2-[[('汗汁,cominte', 0.99488765001297)]] result14-[[('FRom COFfINs,', 0.9780336618423462)]] result4-1-[[('FRom COFfINs,', 0.9780336618423462)]] result14-[[('용떼물뜻"수락하면。0-%l3', 0.7857113480567932)]] result5-[[('reeetlea', 0.3912365734577179)]] result14-[[('Geitzkear', 0.9997942447662354)]] result4-1-[[('Geitzkear', 0.9997942447662354)]] result4-2-[[('Geitzkear', 0.9999937415122986)]] result4-3-[[('Geitzkear', 0.9998283386230469)]] result4-4-[[('Geitzkear', 0.9999485015869141)]] result4-5-[[('Geitzkear', 0.999990701675415)]] result4-6-[[('Geitzkear', 0.9995196461677551)]] result4-7-[[('Geitzkear', 0.9997355937957764)]] result4-8-[[('Geitzkear', 0.9976885914802551)]] result4-9-[[('Geitzkear', 0.990534245967865)]] result4-10-[[('Geitzkear', 0.9999623894691467)]] result14-[[('rub$blespritzd”e', 0.9979126453399658)]] result4-1-[[('rub$blespritzd”e', 0.9979126453399658)]] result5-[[('Dno', 0.29163801670074463)]] result14-[[('붾썰·어둡겠어.', 0.839163601398468)]] result14-[[('鲽-蔼鈉排,抜,か', 0.7933483123779297)]] result14-[[('뚾掱武몰鞠', 0.6519795060157776)]] result14-[[('ふな:けやばけbp19', 0.530071496963501)]] result14-[[('Neave,흉', 0.9968245625495911)]] result4-1-[[('Neave,흉', 0.9968245625495911)]] result4-2-[[('Neave,흉', 0.9508001208305359)]] result5-[[("oUeNeracRUrH's", 0.2726333439350128)]] result14-[[('穆托姆博,糺氛롛', 0.9635410308837891)]] result4-1-[[('穆托姆博,糺氛롛', 0.9635410308837891)]] result14-[[('Psychia tri', 0.9884135723114014)]] result4-1-[[('Psychia tri', 0.9884135723114014)]] result14-[[('部垢텗騰},', 0.6940834522247314)]] result14-[[('海空通光', 0.27336710691452026)]] result14-[[('壞#요Iざっひ', 0.35629844665527344)]] result14-[[('举箱?千州?0,2', 0.6918652057647705)]] result5-[[('glooly', 0.5284292697906494)]] result14-[[('S eibel户位炉房妒马产', 0.8280718922615051)]] result14-[[('툖駕[领0。기념식', 0.6854994297027588)]] result14-[[('没嚆(誠갡吕格正0:', 0.7484003901481628)]] result5-[[('s1253483', 0.7288013696670532)]] result14-[[('6#76#7', 0.9951172471046448)]] result4-1-[[('6#76#7', 0.9951172471046448)]]
过了一段时间,就报错了
几个方案可以尝试:
这个 export在哪里加?windows也有效?
export 是设置环境变量的命令,windows用set
请提供下述完整信息以便快速定位问题/Please provide the following information to quickly locate the problem
import paddle
required: gpu
paddle.set_device("gpu")
tensor = paddle.randn([512, 512, 512], "float")
del tensor
paddle.device.cuda.empty_cache()