Could not load dynamic library ‘cusolver64_10.dll‘； dlerror: cusolver64_10.dll not found

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本文记录了一次使用NVIDIA GeForce RTX 3090显卡安装TensorFlow-GPU的过程及遇到的问题。安装CUDA 11.1后，尝试通过pip安装TensorFlow-GPU 2.4版本时遇到了缺少库文件cusolver64_10.dll的情况，导致无法正常识别GPU。通过将cusolver64_11.dll重命名为cusolver64_10.dll后，问题得以解决。

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显卡3090安装tensorflow,根据这篇进行安装的

cuda_11.1.0_456.43_win10.exe
pip install tensorflow-gpu==2.4 -i http://pypi.douban.com/simple --trusted-host pypi.douban.com

安装tensorflow后，执行下面的语句报错。

import tensorflow as tf
print(tf.__version__)
print('GPU', tf.test.is_gpu_available())

In [5]:  print('GPU', tf.test.is_gpu_available())
WARNING:tensorflow:From <ipython-input-5-43aed12af548>: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.
2021-01-18 23:38:13.759875: 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.
2021-01-18 23:38:13.762330: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library nvcuda.dll
2021-01-18 23:38:13.791002: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 3090 computeCapability: 8.6
coreClock: 1.755GHz coreCount: 82 deviceMemorySize: 24.00GiB deviceMemoryBandwidth: 871.81GiB/s
2021-01-18 23:38:13.791180: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll
2021-01-18 23:38:14.168357: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublas64_11.dll
2021-01-18 23:38:14.168453: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublasLt64_11.dll
2021-01-18 23:38:14.432808: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cufft64_10.dll
2021-01-18 23:38:14.460454: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library curand64_10.dll
2021-01-18 23:38:14.460988: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'cusolver64_10.dll'; dlerror: cusolver64_10.dll not found
2021-01-18 23:38:14.622638: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusparse64_11.dll
2021-01-18 23:38:14.636385: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudnn64_8.dll
2021-01-18 23:38:14.636461: 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...
2021-01-18 23:38:14.756086: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-01-18 23:38:14.756195: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0
2021-01-18 23:38:14.756990: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N
2021-01-18 23:38:14.757188: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
GPU False

解决方案，参考github
cuda安装bin目录，搜索cusolver64_11.dll ，将这个文件修改成cusolver64_10.dll，重新执行上面的语句，发现成功了。

In [6]:  print('GPU', tf.test.is_gpu_available())
2021-01-18 23:40:18.248938: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 3090 computeCapability: 8.6
coreClock: 1.755GHz coreCount: 82 deviceMemorySize: 24.00GiB deviceMemoryBandwidth: 871.81GiB/s
2021-01-18 23:40:18.248999: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll
2021-01-18 23:40:18.249028: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublas64_11.dll
2021-01-18 23:40:18.249054: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublasLt64_11.dll
2021-01-18 23:40:18.249647: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cufft64_10.dll
2021-01-18 23:40:18.249736: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library curand64_10.dll
2021-01-18 23:40:18.258045: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusolver64_10.dll
2021-01-18 23:40:18.258104: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusparse64_11.dll
2021-01-18 23:40:18.258432: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudnn64_8.dll
2021-01-18 23:40:18.258561: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2021-01-18 23:40:18.614029: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-01-18 23:40:18.614138: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0
2021-01-18 23:40:18.614941: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N
2021-01-18 23:40:18.615345: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/device:GPU:0 with 21821 MB memory) -> physical GPU (device: 0, name: GeForce RTX 3090, pci bus id: 0000:01:00.0, compute capability: 8.6)
2021-01-18 23:40:18.616915: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
GPU True