J'ai Windows 10. J'ai terminé l'installation de Tensorflow. Cela fonctionne. Il dit "Hello Tensorflow !". Mais il y a tout ça avant :
2018-08-18 18:16:01.500579: I T:\src\github\tensorflow\tensorflow\core\platform\cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2018-08-18 18:16:01.769002: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1405] Found device 0 with properties: name: GeForce GTX 950 major: 5 minor: 2 memoryClockRate(GHz): 1.3545 pciBusID: 0000:01:00.0 totalMemory: 2.00GiB freeMemory: 1.64GiB
2018-08-18 18:16:01.774030: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1484] Adding visible gpu devices: 0
2018-08-18 18:16:02.095489: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:965] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-08-18 18:16:02.099093: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:971] 0
2018-08-18 18:16:02.100631: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:984] 0: N
2018-08-18 18:16:02.102156: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1097] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1401 MB memory) -> physical GPU (device: 0, name: GeForce GTX 950, pci bus id: 0000:01:00.0, compute capability: 5.2) Hello Tensorflow!
Process returned 0 (0x0) execution time : 2.327 s Press any key to continue
Quand je tape pip3 install --upgrade tensorflow-gpu
dans cmb, à la fois administratif et normal, j'obtiens ceci :
Could not install packages due to an EnvironmentError: [WinError 5] Access is denied: 'c:\\users\\dylan\\appdata\\local\\programs\\python\\python35\\Lib\\site-packages\\numpy\\.libs\\libopenblas.BNVRK7633HSX7YVO2TADGR4A5KEKXJAW.gfortran-win_amd64.dll'
Consider using the `--user` option or check the permissions.
Veuillez m'aider. Je ne suis pas un informaticien ou un ingénieur. Mais je code pour le plaisir.