Quad stereo tensorflow eclipse - Revision history

Oleg at 23:19, 27 December 2019

2019-12-27T23:19:40Z

← Older revision		Revision as of 23:19, 27 December 2019
Line 63:		Line 63:
	</font>		</font>
	* So, <font color='darkgreen'>'''TF1.15 + CUDA 10.0 might work with GeForce GTX 1080 Ti (compute capability 6.1)'''</font>		* So, <font color='darkgreen'>'''TF1.15 + CUDA 10.0 might work with GeForce GTX 1080 Ti (compute capability 6.1)'''</font>
	TF Test button in Eyesis_Correction plugin worked with ~~UDA~~ 10.0 (even with nvidia-smi showing CUDA 10.1 - it's probably not relevant to the libs used)		TF Test button in Eyesis_Correction plugin worked with CUDA 10.0 (even with nvidia-smi showing CUDA 10.1 - it's probably not relevant to the libs used)

Oleg at 23:02, 27 December 2019

2019-12-27T23:02:12Z

← Older revision		Revision as of 23:02, 27 December 2019
Line 63:		Line 63:
	</font>		</font>
	* So, <font color='darkgreen'>'''TF1.15 + CUDA 10.0 might work with GeForce GTX 1080 Ti (compute capability 6.1)'''</font>		* So, <font color='darkgreen'>'''TF1.15 + CUDA 10.0 might work with GeForce GTX 1080 Ti (compute capability 6.1)'''</font>
			TF Test button in Eyesis_Correction plugin worked with UDA 10.0 (even with nvidia-smi showing CUDA 10.1 - it's probably not relevant to the libs used)

Oleg at 21:55, 27 December 2019

2019-12-27T21:55:56Z

← Older revision		Revision as of 21:55, 27 December 2019
Line 62:		Line 62:
	2019-12-27 14:22:18.581034: I tensorflow/cc/saved_model/loader.cc:311] SavedModel load for tags { serve }; Status: success. Took 1105321 microseconds.		2019-12-27 14:22:18.581034: I tensorflow/cc/saved_model/loader.cc:311] SavedModel load for tags { serve }; Status: success. Took 1105321 microseconds.
	</font>		</font>
	* So, TF1.15 + CUDA 10.0 might work with GeForce GTX 1080 Ti (compute capability 6.1)		* So, <font color='darkgreen'>'''TF1.15 + CUDA 10.0 might work with GeForce GTX 1080 Ti (compute capability 6.1)'''</font>

Oleg at 21:55, 27 December 2019

2019-12-27T21:55:27Z

← Older revision		Revision as of 21:55, 27 December 2019
Line 62:		Line 62:
	2019-12-27 14:22:18.581034: I tensorflow/cc/saved_model/loader.cc:311] SavedModel load for tags { serve }; Status: success. Took 1105321 microseconds.		2019-12-27 14:22:18.581034: I tensorflow/cc/saved_model/loader.cc:311] SavedModel load for tags { serve }; Status: success. Took 1105321 microseconds.
	</font>		</font>
			* So, TF1.15 + CUDA 10.0 might work with GeForce GTX 1080 Ti (compute capability 6.1)

Oleg at 21:27, 27 December 2019

2019-12-27T21:27:56Z

@@ Line 19: / Line 19: @@
   </properties>
 </font>
-* Updaed pom.xml to TF 1.15 - package exists
+* Updated pom.xml to TF 1.15 - package exists
 * Install cuDNN all 3 packages - runtime, dev and docs. Used docs to verify installation - built mnistCUDNN:
   https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html
@@ Line 32: / Line 32: @@
 -12-27 13:05:15.762227: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1641] 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...</font>

Oleg at 20:32, 27 December 2019

2019-12-27T20:32:53Z

← Older revision		Revision as of 20:32, 27 December 2019
Line 22:		Line 22:
	* Install cuDNN all 3 packages - runtime, dev and docs. Used docs to verify installation - built mnistCUDNN:		* Install cuDNN all 3 packages - runtime, dev and docs. Used docs to verify installation - built mnistCUDNN:
	https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html		https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html
	* I think TF 1.15 maven package was built for CUDA 10.0 driver		* I think TF 1.15 maven package was built for CUDA 10.0 driver, and so it whines when 10.2 is installed.
	<font size=1 color=red>2019-12-27 13:05:15.754656: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory		<font size=1 color=red>2019-12-27 13:05:15.754656: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory
	2019-12-27 13:05:15.754756: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory		2019-12-27 13:05:15.754756: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory

Oleg at 20:11, 27 December 2019

2019-12-27T20:11:34Z

← Older revision		Revision as of 20:11, 27 December 2019
Line 22:		Line 22:
	* Install cuDNN all 3 packages - runtime, dev and docs. Used docs to verify installation - built mnistCUDNN:		* Install cuDNN all 3 packages - runtime, dev and docs. Used docs to verify installation - built mnistCUDNN:
	https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html		https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html
	* I think TF 1.15 ~~uses~~ 10.0 driver		* I think TF 1.15 maven package was built for CUDA 10.0 driver
	<font size=1 color=red>2019-12-27 13:05:15.754656: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory		<font size=1 color=red>2019-12-27 13:05:15.754656: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory
	2019-12-27 13:05:15.754756: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory		2019-12-27 13:05:15.754756: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory

Oleg at 20:07, 27 December 2019

2019-12-27T20:07:56Z

← Older revision		Revision as of 20:07, 27 December 2019
Line 22:		Line 22:
	* Install cuDNN all 3 packages - runtime, dev and docs. Used docs to verify installation - built mnistCUDNN:		* Install cuDNN all 3 packages - runtime, dev and docs. Used docs to verify installation - built mnistCUDNN:
	https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html		https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html
	* I think TF 1.15 uses		* I think TF 1.15 uses 10.0 driver
	<font size=1 color=red>2019-12-27 13:05:15.754656: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory		<font size=1 color=red>2019-12-27 13:05:15.754656: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory
	2019-12-27 13:05:15.754756: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory		2019-12-27 13:05:15.754756: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory

Oleg at 20:07, 27 December 2019

2019-12-27T20:07:30Z

← Older revision		Revision as of 20:07, 27 December 2019
Line 22:		Line 22:
	* Install cuDNN all 3 packages - runtime, dev and docs. Used docs to verify installation - built mnistCUDNN:		* Install cuDNN all 3 packages - runtime, dev and docs. Used docs to verify installation - built mnistCUDNN:
	https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html		https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html
			* I think TF 1.15 uses
			<font size=1 color=red>2019-12-27 13:05:15.754656: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory
			2019-12-27 13:05:15.754756: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory
			2019-12-27 13:05:15.754860: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcufft.so.10.0'; dlerror: libcufft.so.10.0: cannot open shared object file: No such file or directory
			2019-12-27 13:05:15.754970: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcurand.so.10.0'; dlerror: libcurand.so.10.0: cannot open shared object file: No such file or directory
			2019-12-27 13:05:15.755075: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcusolver.so.10.0'; dlerror: libcusolver.so.10.0: cannot open shared object file: No such file or directory
			2019-12-27 13:05:15.755178: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcusparse.so.10.0'; dlerror: libcusparse.so.10.0: cannot open shared object file: No such file or directory
			2019-12-27 13:05:15.762197: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
			2019-12-27 13:05:15.762227: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1641] 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...</font>

Oleg at 20:04, 27 December 2019

2019-12-27T20:04:11Z

← Older revision		Revision as of 20:04, 27 December 2019
Line 19:		Line 19:
	</properties>		</properties>
	</font>		</font>
			* Updaed pom.xml to TF 1.15 - package exists
			* Install cuDNN all 3 packages - runtime, dev and docs. Used docs to verify installation - built mnistCUDNN:
			https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html