Could not load dynamic library ‘cusolver64_10.dll cudart64_10.dll

问题：

>>> import tensorflow as tf
2021-04-12 09:40:47.255940: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll
>>> tf.test.is_gpu_available()
WARNING:tensorflow:From :1: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.config.list_physical_devices('GPU')` instead.
2021-04-12 09:40:57.262038: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-04-12 09:40:57.264932: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library nvcuda.dll
2021-04-12 09:40:58.203095: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce MX450 computeCapability: 7.5
coreClock: 1.575GHz coreCount: 14 deviceMemorySize: 2.00GiB deviceMemoryBandwidth: 74.52GiB/s
2021-04-12 09:40:58.203329: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll
2021-04-12 09:40:58.210903: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublas64_11.dll
2021-04-12 09:40:58.211062: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublasLt64_11.dll
2021-04-12 09:40:58.215099: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cufft64_10.dll
2021-04-12 09:40:58.217284: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library curand64_10.dll
2021-04-12 09:40:58.220287: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'cusolver64_10.dll'; dlerror: cusolver64_10.dll not found
2021-04-12 09:40:58.223813: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusparse64_11.dll
2021-04-12 09:40:58.225586: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudnn64_8.dll
2021-04-12 09:40:58.225789: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1757] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
2021-04-12 09:40:58.396751: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-04-12 09:40:58.396948: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0
2021-04-12 09:40:58.398169: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N
2021-04-12 09:40:58.398632: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
False

处理方法1：

• 访问：https://www.dll-files.com/cudart64_101.dll.html 下载对应的dll文件，将其重命名为cudart64_10.dll
• 下载对应所缺失的 xx.dll文件放到 拷贝到C盘的Windows/System32
• 重启电脑

处理方法2（推荐）：

• 进入C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin的目录中，查找cusolver, 发现cusolver64_11.dll
• 将其复制到桌面，重命名为cusolver64_10.dll
• 复制回源目录

成功！

>>> import tensorflow as tf
2021-04-12 09:59:39.930823: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll
>>> tf.test.is_gpu_available()
WARNING:tensorflow:From :1: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.config.list_physical_devices('GPU')` instead.
2021-04-12 09:59:48.794786: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-04-12 09:59:48.797313: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library nvcuda.dll
2021-04-12 09:59:49.688146: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce MX450 computeCapability: 7.5
coreClock: 1.575GHz coreCount: 14 deviceMemorySize: 2.00GiB deviceMemoryBandwidth: 74.52GiB/s
2021-04-12 09:59:49.688362: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll
2021-04-12 09:59:49.694875: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublas64_11.dll
2021-04-12 09:59:49.695042: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublasLt64_11.dll
2021-04-12 09:59:49.698470: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cufft64_10.dll
2021-04-12 09:59:49.700121: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library curand64_10.dll
2021-04-12 09:59:49.729300: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusolver64_10.dll
2021-04-12 09:59:49.732466: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusparse64_11.dll
2021-04-12 09:59:49.733506: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudnn64_8.dll
2021-04-12 09:59:49.733693: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2021-04-12 09:59:50.653659: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-04-12 09:59:50.653782: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0
2021-04-12 09:59:50.654484: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N
2021-04-12 09:59:50.655509: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/device:GPU:0 with 1253 MB memory) -> physical GPU (device: 0, name: GeForce MX450, pci bus id: 0000:01:00.0, compute capability: 7.5)
2021-04-12 09:59:50.657286: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
True
>>>