我目前在仅基于CPU的设置上运行我的LSTM培训脚本（也就是说没有GPU），并且我在每个培训步骤之间都会遇到很多麻烦。 这些“ dlerror”怎么办以及如何解决？
这会影响性能吗？ 如果没有，如何隐藏它？
Epoch 1/20
2020-09-02 20:49:06.592450: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2020-09-02 20:49:06.599065: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2020-09-02 20:49:12.746036: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
2020-09-02 20:49:12.751769: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303)
2020-09-02 20:49:12.761444: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-6NCF44I
2020-09-02 20:49:12.763713: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-6NCF44I
2020-09-02 20:49:12.800139: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x229365115b0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-09-02 20:49:12.802774: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2020-09-02 20:49:16.012887: I tensorflow/core/profiler/lib/profiler_session.cc:159] Profiler session started.
1/369 [..............................] - ETA: 0s - loss: 115175354838024192.0000 - mse: 116338741219426304.0000 - mae: 174372896.0000 - mape: 65089616.0000 - cosine_similarity: -0.0534
2020-09-02 20:49:06.592450: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2020-09-02 20:49:06.599065: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2020-09-02 20:49:12.746036: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
2020-09-02 20:49:12.751769: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303)
2020-09-02 20:49:12.761444: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-6NCF44I
2020-09-02 20:49:12.763713: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-6NCF44I
2020-09-02 20:49:12.800139: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x229365115b0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-09-02 20:49:12.802774: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2020-09-02 20:49:16.012887: I tensorflow/core/profiler/lib/profiler_session.cc:159] Profiler session started.
2020-09-02 20:50:39.226962: I tensorflow/core/profiler/lib/profiler_session.cc:159] Profiler session started.
2020-09-02 20:49:06.592450: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2020-09-02 20:49:06.599065: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2020-09-02 20:49:12.746036: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
2020-09-02 20:49:12.751769: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303)
2020-09-02 20:49:12.761444: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-6NCF44I
2020-09-02 20:49:12.763713: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-6NCF44I
2020-09-02 20:49:12.800139: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x229365115b0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-09-02 20:49:12.802774: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2020-09-02 20:49:16.012887: I tensorflow/core/profiler/lib/profiler_session.cc:159] Profiler session started.
2020-09-02 20:50:39.226962: I tensorflow/core/profiler/lib/profiler_session.cc:159] Profiler session started.
2020-09-02 20:51:55.732652: I tensorflow/core/profiler/rpc/client/save_profile.cc:168] Creating directory: C:\Users\Ben\Desktop\colab_comparison\logs.txt\train\plugins\profile\2020_09_02_18_51_53
2020-09-02 20:49:06.592450: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2020-09-02 20:49:06.599065: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2020-09-02 20:49:12.746036: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
2020-09-02 20:49:12.751769: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303)
2020-09-02 20:49:12.761444: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-6NCF44I
2020-09-02 20:49:12.763713: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-6NCF44I
2020-09-02 20:49:12.800139: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x229365115b0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-09-02 20:49:12.802774: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2020-09-02 20:49:16.012887: I tensorflow/core/profiler/lib/profiler_session.cc:159] Profiler session started.
2020-09-02 20:50:39.226962: I tensorflow/core/profiler/lib/profiler_session.cc:159] Profiler session started.
2020-09-02 20:51:55.732652: I tensorflow/core/profiler/rpc/client/save_profile.cc:168] Creating directory: C:\Users\Ben\Desktop\colab_comparison\logs.txt\train\plugins\profile\2020_09_02_18_51_53
2020-09-02 20:51:56.905231: I tensorflow/core/profiler/rpc/client/save_profile.cc:174] Dumped gzipped tool data for trace.json.gz to C:\Users\Ben\Desktop\colab_comparison\logs.txt\train\plugins\profile\2020_09_02_18_51_53\DESKTOP-6NCF44I.trace.json.gz
2/369 [..............................] - ETA: 4:00:34 - loss: 108831026716868608.0000 - mse: 109930332186214400.0000 - mae: 169439408.0000 - mape: 116326512.0000 - cosine_similarity: -0.2260
2020-09-02 20:49:06.592450: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2020-09-02 20:49:06.599065: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2020-09-02 20:49:12.746036: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
2020-09-02 20:49:12.751769: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303)
2020-09-02 20:49:12.761444: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-6NCF44I
2020-09-02 20:49:12.763713: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-6NCF44I
2020-09-02 20:49:12.800139: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x229365115b0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-09-02 20:49:12.802774: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2020-09-02 20:49:16.012887: I tensorflow/core/profiler/lib/profiler_session.cc:159] Profiler session started.
2020-09-02 20:50:39.226962: I tensorflow/core/profiler/lib/profiler_session.cc:159] Profiler session started.
2020-09-02 20:51:55.732652: I tensorflow/core/profiler/rpc/client/save_profile.cc:168] Creating directory: C:\Users\Ben\Desktop\colab_comparison\logs.txt\train\plugins\profile\2020_09_02_18_51_53
2020-09-02 20:51:56.905231: I tensorflow/core/profiler/rpc/client/save_profile.cc:174] Dumped gzipped tool data for trace.json.gz to C:\Users\Ben\Desktop\colab_comparison\logs.txt\train\plugins\profile\2020_09_02_18_51_53\DESKTOP-6NCF44I.trace.json.gz
2020-09-02 20:51:57.700621: I tensorflow/core/profiler/utils/event_span.cc:288] Generation of step-events took 54.008 ms
2020-09-02 20:51:57.763778: I tensorflow/python/profiler/internal/profiler_wrapper.cc:87] Creating directory: C:\Users\Ben\Desktop\colab_comparison\logs.txt\train\plugins\profile\2020_09_02_18_51_53Dumped tool data for overview_page.pb to C:\Users\Ben\Desktop\colab_comparison\logs.txt\train\plugins\profile\2020_09_02_18_51_53\DESKTOP-6NCF44I.overview_page.pb
Dumped tool data for input_pipeline.pb to C:\Users\Ben\Desktop\colab_comparison\logs.txt\train\plugins\profile\2020_09_02_18_51_53\DESKTOP-6NCF44I.input_pipeline.pb
Dumped tool data for tensorflow_stats.pb to C:\Users\Ben\Desktop\colab_comparison\logs.txt\train\plugins\profile\2020_09_02_18_51_53\DESKTOP-6NCF44I.tensorflow_stats.pb
Dumped tool data for kernel_stats.pb to C:\Users\Ben\Desktop\colab_comparison\logs.txt\train\plugins\profile\2020_09_02_18_51_53\DESKTOP-6NCF44I.kernel_stats.pb
4/369 [..............................] - ETA: 5:43:42 - loss: 99759720780267520.0000 - mse: 100767406007255040.0000 - mae: 139372400.0000 - mape: 186370256.0000 - cosine_similarity: -0.2431
我已经研究了其他问题，但是找不到实际的解决方案。
答案 0 :(得分：1)
下面的行告诉您，它无法加载库“ cudart64_101.dll”。该库是CUDA（用于在Nvidia GPU上进行并行计算的API）的运行时。其他错误还提到了与CUDA相关的“ nvcuda.dll”。
2020-09-02 20:49:06.592450: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
如果您查看已粘贴的日志，则下一行告诉您，如果您不使用GPU，则不必担心。由于您没有使用GPU，因此您不必担心。
2020-09-02 20:49:06.599065: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
如果您仍然想隐藏它们，我认为是changing the logging level could help。虽然，它也可能隐藏其他重要信息...我个人而言，在他们告诉我时只会忽略它们。
答案 1 :(得分：1)
从技术上讲，这不是错误，而是警告。它主要是冗长的，因此您可以放心地忽略它。要使其静音，请按正确的顺序执行 。您还需要暂时重新启动内核。
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import tensorflow as tf