tensorflow cuda 9

activate:activate tensorflow(hehe It has a small hat ~ to represent my current environment OH)6. Ensure that the environment named TensorFlow has been successfully added:conda info --envs(bravo!)7. Check the Python version in the new environment:python --version(^^ Happy ~)8. Exit the current environment:deactivate (The little hat fell off)9. Switch the Environm

~/ Nvidia_cuda-7.5_samples/bin/x86_64/linux/release ./devicequery CD ~/nvidia_cuda-7.5_samples/1_utilities /bandwidthtest make ./bandwidthtest1 2 3 4 5 6 7 8 9 10 11 If two test results are pass, it means that Cuda is running normally. Reference links Cuda-7.5-toolkit 2. Install TensorFlow Essential Python-pip and Py

Software Version Window10 X64 Python 3.6.4 (64-bit) CUDA CUDA Toolkit 9.0 (Sept 2017) CuDNN CuDNN v7.0.5 (Dec 5), for CUDA 9.0 The above version of the test passed.Installation steps:1. to install python, remember to tick pip. 2. detects if

I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:119] Couldn ' t open CUDA library Cublas64_80.dllI c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\cuda\cuda_blas.cc : 2294] Unable to load Cublas DSO.I c:\tf_jenkins\home\

Tags: sudo symbolic link ref does not install UDA appears http PIP Source official websiteConfigurationThe author uses the Dell Inspiron 7559 notebook computer with the Nvidia GTX 960M graphics card.GoalDue to the native graphics card only nvidia-384 driver package can be well supported (nvidia-387, nvidia-390 package are in the system can not be logged in such anomalies), and Cuda 9.1 need to drive at least nvidia-387, so choose to install

Tags: code stat leave Tor dia pool ack drivers what to doBy TensorFlow 1.8, Ubuntu 16.04, Cuda 9.0, nvidia-390 tortured for 5 days, finally on the pit, leaving a guide for the benefit of posterity.1. Find out the dependencies first:TensorFlow 1.8 relies on Cuda 9.0,cuda 9.0 dependent nvidia-390.2. Pit:Only nvidia-384,n

9. Cuda shared memory use ------ GPU revolutionPreface: I will graduate next year and plan for my future life in the second half of the year. In the past six months, it may be a decision and a decision. Maybe I have a strong sense of crisis and have always felt that I have not done well enough. I still need to accumulate and learn. Maybe it's awesome to know that you can go to Hong Kong from the Hill Valley