09/17/18 [imagej-elphel][dct] by AndreyFilippov: Debug code for GPU migration
AndreyFilippov committed changes to the Elphel git project :
Debug code for GPU migration
Debug code for GPU migration
09/17/18 [imagej-elphel][dct] by Andrey Filippov: minor console output mods
Andrey Filippov committed changes to the Elphel git project :
minor console output mods
minor console output mods
09/14/18 [imagej-elphel][gpu] by Oleg Dzhimiev: + one more example
Oleg Dzhimiev committed changes to the Elphel git project :
+ one more example
+ one more example
09/14/18 [imagej-elphel][gpu] by Oleg Dzhimiev: +more examples
Oleg Dzhimiev committed changes to the Elphel git project :
+more examples
+more examples
09/14/18 [imagej-elphel][gpu] by Oleg Dzhimiev: +links
Oleg Dzhimiev committed changes to the Elphel git project :
+links
+links
09/14/18 [python3-imagej-tiff][master] by Oleg Dzhimiev: +xml fields
Oleg Dzhimiev committed changes to the Elphel git project :
+xml fields
+xml fields
09/14/18 [python3-imagej-tiff][master] by Oleg Dzhimiev: +comments
Oleg Dzhimiev committed changes to the Elphel git project :
+comments
+comments
09/14/18 [python3-imagej-tiff][master] by Oleg Dzhimiev: +Saved Model model generation and running
Oleg Dzhimiev committed changes to the Elphel git project :
+Saved Model model generation and running
+Saved Model model generation and running
09/14/18 [python3-imagej-tiff][master] by Oleg Dzhimiev: + exportdir for pb model format saved with Saved_Model
Oleg Dzhimiev committed changes to the Elphel git project :
+ exportdir for pb model format saved with Saved_Model
+ exportdir for pb model format saved with Saved_Model
10393 manual
Notes
← Older revision Revision as of 18:07, 14 September 2018 Line 65: Line 65: ====Notes==== ====Notes==== * Boot time: ~30s * Boot time: ~30s −* The default boot is from the on-board NAND flash. [[Boot_options_393|More information]] on available boot options and recovery boot.+* The default boot is from the on-board NAND flash. [[Boot_options_393|More information]] on available boot options and recovery boot − +* For development one can boot from the μSD recovery card and use it − ==<font color="blue">Defaults</font>== ==<font color="blue">Defaults</font>== Oleg09/13/18 [python3-imagej-tiff][master] by AndreyFilippov: config again
AndreyFilippov committed changes to the Elphel git project :
config again
config again
09/13/18 [python3-imagej-tiff][master] by AndreyFilippov: latest config
AndreyFilippov committed changes to the Elphel git project :
latest config
latest config
09/13/18 [python3-imagej-tiff][master] by AndreyFilippov: Made inference from the saved model
AndreyFilippov committed changes to the Elphel git project :
Made inference from the saved model
Made inference from the saved model
09/13/18 [python3-imagej-tiff][master] by AndreyFilippov: Implemented 2-stage inference network to be used with TP in Java
AndreyFilippov committed changes to the Elphel git project :
Implemented 2-stage inference network to be used with TP in Java
Implemented 2-stage inference network to be used with TP in Java
Tensorflow with gpu
← Older revision
Revision as of 16:58, 12 September 2018
(2 intermediate revisions by the same user not shown)Line 2:
Line 2:
* Kubuntu 16.04.4 LTS * Kubuntu 16.04.4 LTS
==Setup (guide)== ==Setup (guide)==
−* Just follow [http://www.python36.com/install-tensorflow141-gpu/ '''this guide'''] or this [http://www.python36.com/how-to-install-tensorflow-gpu-with-cuda-9-2-for-python-on-ubuntu/ '''newer one''']+Just follow:
+* [http://www.python36.com/install-tensorflow141-gpu/ '''this guide'''] (Ubuntu 16.04 64-bit, CUDA 9.1, cuDNN 7.1.2, python3) or
+* this [http://www.python36.com/how-to-install-tensorflow-gpu-with-cuda-9-2-for-python-on-ubuntu/ '''newer one'''] (Ubuntu 16.04 64-bit, CUDA 9.2, cuDNN 7.1.4, python3)
==Setup (some details)== ==Setup (some details)==
Oleg
Tensorflow with gpu
Added newer link
← Older revision Revision as of 01:19, 12 September 2018 Line 2: Line 2: * Kubuntu 16.04.4 LTS * Kubuntu 16.04.4 LTS ==Setup (guide)== ==Setup (guide)== −* Just follow [http://www.python36.com/install-tensorflow141-gpu/ '''this guide''']+* Just follow [http://www.python36.com/install-tensorflow141-gpu/ '''this guide'''] or this [http://www.python36.com/how-to-install-tensorflow-gpu-with-cuda-9-2-for-python-on-ubuntu/ '''newer one'''] + ==Setup (some details)== ==Setup (some details)== * Check device * Check device Andrey.filippov09/11/18 [imagej-elphel][gpu] by Oleg K Dzhimiev: Update README.md
Oleg K Dzhimiev committed changes to the Elphel git project :
Update README.md
Update README.md
09/11/18 [imagej-elphel][master] by Oleg K Dzhimiev: Update README.md
Oleg K Dzhimiev committed changes to the Elphel git project :
Update README.md
Update README.md
09/11/18 [imagej-elphel][gpu] by Oleg Dzhimiev: comments
Oleg Dzhimiev committed changes to the Elphel git project :
comments
comments
09/11/18 [imagej-elphel][gpu] by Oleg Dzhimiev: working with CUDA 9.0 installed
Oleg Dzhimiev committed changes to the Elphel git project :
working with CUDA 9.0 installed
working with CUDA 9.0 installed
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