In addition to Weibo, there is also WeChat
Please pay attention
WeChat public account
Shulou
2025-04-10 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Servers >
Share
Shulou(Shulou.com)06/02 Report--
I think it is an indisputable fact to use GPU instead of CPU in in-depth learning and training. Although MX150 is not listed on the official website below, MX150 actually supports CUDA.
Https://developer.nvidia.com/cuda-gpus
Environment
Millet Notebook Air 13
OS: win10CPU: I7 7500UGPU: MX150GPU driver: 425.25tensorflow: 1.13.1tensorflow-gpu: 1.13.1visual studio: 2019 install TensorFlow
Now the whl file of TensorFlow is well packaged and can basically be installed, but if there is no driver such as CUDA, there will be an error when importing tensorflow.
Pip install tensorflow tensorflow-gpu installation dependency
In order to install Nvidia's CUDA suite, you also need to install visual studio, because the relevant compilation environment of windows is tied to visual studio, even if you only want to install part of it, you still have to install visual studio.
Install visual studio
The windows installer won't be too difficult, it's the next step, the next step.
Install cuda toolkits
CUDA toolkits 10.0
Https://developer.nvidia.com/cuda-zone
It can be installed by default. Next step.
Install cudnn
Cudnn 7.6.0.64
Https://developer.nvidia.com/cudnn
Be careful not to be greedy for the latest version, tensorflow official may not support it!
After decompressing cudnn, put it in C:\ tools\ cuda
Finally, add the environment variable:
C:\ tools\ cuda\ binC:\ Program Files\ NVIDIA GPU Computing Toolkit\ CUDA\ v10.1\ extras\ CUPTI\ lib64
The official statement is as follows:
Software requirements
The following NVIDIA ®software must be installed on the system:
NVIDIA ®GPU driver-CUDA 10.0 requires 410.x or later.
CUDA ®Toolkit-TensorFlow supports CUDA 10.0 (TensorFlow 1.13.0 and later)
The CUPTI that comes with the CUDA toolkit.
CuDNN SDK (7.4.1 and later)
(optional)
TensorRT 5.0to reduce latency and improve throughput for inference on some models.
Reference page:
Https://www.tensorflow.org/install/gpu
Compatibility testing of each version
Https://www.tensorflow.org/install/source#linux
Installation reference:
Https://towardsdatascience.com/installing-tensorflow-with-cuda-cudnn-and-gpu-support-on-windows-10-60693e46e781
Https://medium.com/@johnnyliao/%E5%9C%A8nvidia-mx150%E7%9A%84win10%E5%AE%89%E8%A3%9Dcuda-toolkit-cudnn-python-anaconda-and-tensorflow-91d4c447b60e
Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.
Views: 0
*The comments in the above article only represent the author's personal views and do not represent the views and positions of this website. If you have more insights, please feel free to contribute and share.
Continue with the installation of the previous hadoop.First, install zookooper1. Decompress zookoope
"Every 5-10 years, there's a rare product, a really special, very unusual product that's the most un
© 2024 shulou.com SLNews company. All rights reserved.