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Table of Contents

Dependencies for using GPU

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NVIDIA driver

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Pre-check up

Note

Firstly, You have to determine which versions you want to use for each library and NVIDA driver.

  1. Determine the specific TensorFlow version.

  2. Figure out the compatibility with dependent libraries.
    Refer to https://

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  1. www.

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  1. tensorflow.

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Info

You may need to update for NVIDIA driver.

FYI, the required NVIDIA driver: 

  1. org/install/source_windows#gpu

  2. Figure out the compatibility with dependent NVIDA driver.
    Refer to https://docs.nvidia.com/deploy/cuda-compatibility/index

.html

  1. .html#binary-compatibility

If the versions of CUDA of what you gonna use are satisfied with NVIDA driver, you can skip this page.
See the next sub-pages.

NVIDIA driver

Checking current version

Code Block
languagepy
# Cuda $ Driver version check
$ nvidia-smi
TueThu DecMar 0804 1613:1800:1819 20202021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 442.62       Driver Version: 442.62       CUDA Version: 10.2     |
|-------------------------------+----------------------+----------------------+
| GPU  Name            TCC/WDDM | Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 1060   WDDM  | 00000000:01:00.0  On |                  N/A |
| N/A   49C 50C   P8 P0    26W4W /  N/A |    1558MiB831MiB /  6144MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0      1384    C+G   Insufficient Permissions                   N/A      |
|    0      3584    C+G   ...14511.0_x64__8wekyb3d8bbwe\Video.UI.exe N/A      |
|    0      6700    C+G   ...w5n1h2txyewy\InputApp\TextInputHost.exe N/A      |
|    0      9796    C+G   C:\Windows\explorer.exe                    N/A      |
|    0     12024    C+G   ...dows.Search_cw5n1h2txyewy\SearchApp.exe N/A      |
|    0     13092    C+G   ...osoft.LockApp_cw5n1h2txyewy\LockApp.exe N/A      |
|    0     13404    C+G   ...t_cw5n1h2txyewy\ShellExperienceHost.exe N/A      |
|    0     13652    C+G   ....125.0_x64__8wekyb3d8bbwe\YourPhone.exe N/A      |
|    0     15252    C+G   ...001.0001_1447f3a4afa4575f\X-Pointer.exe N/A      |
|    0     15948    C+G   ...boxAlpha Messenger\BizboxAMessenger.exe N/A      |
|    0     16096    C+G   ...ppData\Local\slack\app-4.10.3\slack.exe N/A      |
|    0     24692    C+G   ...File Stream\44.0.12.0\GoogleDriveFS.exe N/A      |
|    0     29640    C+G   ...cal\Programs\Microsoft VS Code\Code.exe N/A      |
|    0     35504    C+G   ...ogram Files\Mozilla Firefox\firefox.exe N/A      |
|    0     38972    C+G   ...5n1h2txyewy\StartMenuExperienceHost.exe N/A      |
|    0     39284    C+G   ...mmersiveControlPanel\SystemSettings.exe N/A      |
|    0     46152    C+G   ...6)\Google\Chrome\Application\chrome.exe N/A      |
|    0     61976    C+G   ...10.2011.4.0_x64__8wekyb3d8bbwe\Maps.exe N/A      |
|    0     62280    C+G   ...ta\Local\Postman\app-7.36.0\Postman.exe N/A      |
|    0     66980    C+G   ...ogram Files\Mozilla Firefox\firefox.exe N/A      |
|    0     71656    C+G   ...x64__8wekyb3d8bbwe\Microsoft.Photos.exe N/A      |
|    0     77796    C+G   ...8wekyb3d8bbwe\Microsoft.Msn.Weather.exe N/A      |
|    0     91232    C+G   ...9.4.0_x64__8wekyb3d8bbwe\Calculator.exe N/A      |
+-----------------------------------------------------------------------------+

Setting Keras Environment

Prerequisites

For your convenience, you'd better install and use git bash.

Therefore, I will test on git bash or bash terminal integrated within VSCode.

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 Warning
This Driver is included within CUDA toolkit of the next section.
Before installing the driver you have to check out the above “Pre-check up” section.
If not have to do it, you’d better you don’t install the driver.
Download: https://www.nvidia.co.kr/Download/index.aspx?lang=kr
Manual installing the CUDA library.
 Info
You can install CUDA library with conda.
Furthermore, you can do several cuda versions independently.
It’s more convenient and has some advantages, you’d better use conda if there are not any other matters.
The way of using conda, you can see the next sub-pages.
 Child pages (Children Display)
CUDA Toolkit
Download: https://developer.nvidia.com/cuda-toolkit-archive
 Warning
If NVIDA driver has been already installed as what is satisfied, unselect the driver into the custom install step.
cuDNN
Download:  https://
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developer.
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nvidia.
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com/
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Setting Keras
Install Karas from Yaml
 Code Block
languagepy
# Make yaml file.
$ vi environment-gpu.yml
name: keras-study

dependencies:
  - python=3.7
  - scikit-learn
  - scipy
  - numpy
  - matplotlib
  - ipython
  - jupyter
  - pillow
  - opencv
  - graphviz
  - cython
  - pip:
      - tensorflow-gpu==1.15
      - keras==2.2.4
      - pydot-ng

# Create conda env
$ conda env create -f environment-gpu.yml

# Enter karas-study env
$ conda activate karas-study
...
If not able to activate a certain conda env, add this instruction into .bashrc
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rdp/cudnn-archive
Installation: https://docs.nvidia.com/deeplearning/cudnn/install-guide/index.html#installwindows