Python Tensorflow GPU无法加载动态库'；cusolver64_10.dll'；；错误：找不到cusolver64_10.dll

当我跑的时候

import tensorflow as tf 
tf.test.is_gpu_available(
    cuda_only=False, min_cuda_compute_capability=None
)

我得到以下错误

步骤1

 Move to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\bin

步骤2

Rename file cusolver64_11.dll  To  cusolver64_10.dll 

---

我也有同样的问题。事实证明CUDA 11.0包含cusolver64_10.dll（这可能就是为什么他们在tensorflow构建指南中指出CUDA v11.0）。请务必下载cudnn

TL；DR对于

Windows

上的

TensorFlow

ver>=2.4.0，请准确安装以下突出显示的

CUDA Toolkit

和

cuDNN

版本，即官方要求中列出的版本。（v11.0与v11.2相对）

---

在

Windows

上，撰写本文时的

TensorFlow

^安装要求如下所述

NVIDIA®GPU驱动程序-CUDA®11.0需要450.x或更高版本

CUDA®工具包-TensorFlow支持CUDA®11（TensorFlow>=2.4.0）

CUPTI附带CUDA®工具包

cuDNN SDK 8.0.4

（可选）TensorRT 6.0，以改进某些模型上推理的延迟和吞吐量

您面临的问题可能与CUDA®Toolkit的版本有关

Tensorflow

对依赖项的版本很挑剔。查看

C:\Program Files\NVIDIA GPU计算工具包\CUDA\v11.2\bin

**。您应该能够在那里找到

TensorFlow

所需的大多数DLL。您可能会注意到，它包含

cusolver64_11.dll

，而不是输出中所述的预期

cusolver64_10.dll

尽管上面的回答中提到的重命名黑客可以工作，但它不能保证一直可靠地工作。简单而正确的解决方案是首先安装正确的依赖项

在编写时，

CUDA Toolkit

和

cuDNN

的兼容版本是

CUDA Toolkit 11.0 (May 2020)
cuDNN v8.0.4 (September 28th, 2020), for CUDA 11.0 

从这两个版本的大量可用版本中，列出&

更新的版本（我测试了v11.0以后的版本）还不受支持。我记得几年前TensorFlow的早期版本也有同样的问题

---

^对于版本>1.15，

TensorFlow

默认包含GPU支持，因此符合CUDA要求。当不可用时，

TensorFlow

工作正常-它只是恢复到CPU执行。
**或安装工具包的任何位置

---

^^

cudnn64_8.dll

为TensorFlow 2.4.1附带了

cuDNN SDK

，如果需要安装CUDA 11.2，重命名黑客将起作用。我建议为TF 2.4.1安装CUDA 11.0+cuDNN 8.0.4，正如@relege在上面所写的那样，这样就不需要重命名，您的GPU就会被识别

对于TensorFlow 2.5.0，我刚刚使用CUDA 11.2.2+cuDNN 8.1.1识别了我的GPU。在这种情况下，不要重命名cusolver文件。TF2.5.0需要“cusolver64_11.dll”文件名

c> python
Python 3.9.4 | packaged by conda-forge | (default, May 10 2021, 22:10:34) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
2021-05-28 08:11:24.517894: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll
>>> print(tf.version.VERSION)
2.5.0
>>> print("Num GPUs Available: ", len(tf.config.list_physical_devices('GPU')),
...       '\nDevice: ', tf.config.list_physical_devices('GPU'))
2021-05-28 08:12:19.501812: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library nvcuda.dll
2021-05-28 08:12:19.530869: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: NVIDIA GeForce GTX 1080 with Max-Q Design computeCapability: 6.1
coreClock: 1.468GHz coreCount: 20 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 298.32GiB/s
2021-05-28 08:12:19.531377: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll
2021-05-28 08:12:19.597785: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublas64_11.dll
2021-05-28 08:12:19.597992: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublasLt64_11.dll
2021-05-28 08:12:19.618849: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cufft64_10.dll
2021-05-28 08:12:19.634321: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library curand64_10.dll
2021-05-28 08:12:19.677539: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library **cusolver64_11.dll**
2021-05-28 08:12:19.731541: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cusparse64_11.dll
2021-05-28 08:12:19.746271: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudnn64_8.dll
2021-05-28 08:12:19.746674: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
Num GPUs Available:  1
Device:  [PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]
>>>

---

使用powershell创建符号链接也可以，而且可能是首选：

New Item-ItemType symbolicink-Path.\cusolver64_10.dll-Target.\cusolver64_11.dll

@DouglasMarttinen谢谢它会帮助其他人为什么不使用cusolver64_11？即使在更新我的tensorflow之后，我也遇到了同样的问题…似乎不是太专业的答案，但它是有效的。谢谢：）这将导致这个问题中出现问题，您可以查看我在第一个答案中的评论。@Hong Cheng，是的，我与您在TF 2.5.0方面有相同的经验。我想，在以前尝试获得TF2.4.1的GPU支持时，我已经将该文件重命名为“cusolver64_10.dll”名称。使用CUDA Toolkit 11+，对TF 2.4.1使用“cusolver64_10.dll”，对TF 2.5.0保留原始文件名“cusolver64_11.dll”。

c> python
Python 3.9.4 | packaged by conda-forge | (default, May 10 2021, 22:10:34) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
2021-05-28 08:11:24.517894: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll
>>> print(tf.version.VERSION)
2.5.0
>>> print("Num GPUs Available: ", len(tf.config.list_physical_devices('GPU')),
...       '\nDevice: ', tf.config.list_physical_devices('GPU'))
2021-05-28 08:12:19.501812: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library nvcuda.dll
2021-05-28 08:12:19.530869: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: NVIDIA GeForce GTX 1080 with Max-Q Design computeCapability: 6.1
coreClock: 1.468GHz coreCount: 20 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 298.32GiB/s
2021-05-28 08:12:19.531377: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll
2021-05-28 08:12:19.597785: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublas64_11.dll
2021-05-28 08:12:19.597992: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublasLt64_11.dll
2021-05-28 08:12:19.618849: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cufft64_10.dll
2021-05-28 08:12:19.634321: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library curand64_10.dll
2021-05-28 08:12:19.677539: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library **cusolver64_11.dll**
2021-05-28 08:12:19.731541: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cusparse64_11.dll
2021-05-28 08:12:19.746271: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudnn64_8.dll
2021-05-28 08:12:19.746674: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
Num GPUs Available:  1
Device:  [PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]
>>>