How to skip “Ignoring visible gpu device” for tensorflow
After I tried to use GPU for tensorflow and installed cuda, ... I recieved the following message:
Ignoring visible gpu device (device: 0, name: GeForce GT 740M, pci bus id: 0000:01:00.0, compute capability: 3.5) with Cuda compute capability 3.5. The minimum required Cuda capability is 3.7.
I know that there are similar questions. But, in those questions, the version is lower (2.0 or 3.0) or they want to install it on linux, while mine is 3.5 and I have windows. Can't I still use GPU?
Also, they didn't say if I can use another version of tensorflow.
Is it possible to install a lower versin of tensorflow? If yes, how can I install that? Would I face problems for new updates?
My current tensorflow-gpu version is 1.12.0
What is the best solution to skip this error?
python windows tensorflow gpu
add a comment |
After I tried to use GPU for tensorflow and installed cuda, ... I recieved the following message:
Ignoring visible gpu device (device: 0, name: GeForce GT 740M, pci bus id: 0000:01:00.0, compute capability: 3.5) with Cuda compute capability 3.5. The minimum required Cuda capability is 3.7.
I know that there are similar questions. But, in those questions, the version is lower (2.0 or 3.0) or they want to install it on linux, while mine is 3.5 and I have windows. Can't I still use GPU?
Also, they didn't say if I can use another version of tensorflow.
Is it possible to install a lower versin of tensorflow? If yes, how can I install that? Would I face problems for new updates?
My current tensorflow-gpu version is 1.12.0
What is the best solution to skip this error?
python windows tensorflow gpu
Articles doing tensorflow-gpu on similar devices and systems might help. For example, deeplearningitalia.com/…
– Harry Hung
Nov 20 '18 at 0:40
add a comment |
After I tried to use GPU for tensorflow and installed cuda, ... I recieved the following message:
Ignoring visible gpu device (device: 0, name: GeForce GT 740M, pci bus id: 0000:01:00.0, compute capability: 3.5) with Cuda compute capability 3.5. The minimum required Cuda capability is 3.7.
I know that there are similar questions. But, in those questions, the version is lower (2.0 or 3.0) or they want to install it on linux, while mine is 3.5 and I have windows. Can't I still use GPU?
Also, they didn't say if I can use another version of tensorflow.
Is it possible to install a lower versin of tensorflow? If yes, how can I install that? Would I face problems for new updates?
My current tensorflow-gpu version is 1.12.0
What is the best solution to skip this error?
python windows tensorflow gpu
After I tried to use GPU for tensorflow and installed cuda, ... I recieved the following message:
Ignoring visible gpu device (device: 0, name: GeForce GT 740M, pci bus id: 0000:01:00.0, compute capability: 3.5) with Cuda compute capability 3.5. The minimum required Cuda capability is 3.7.
I know that there are similar questions. But, in those questions, the version is lower (2.0 or 3.0) or they want to install it on linux, while mine is 3.5 and I have windows. Can't I still use GPU?
Also, they didn't say if I can use another version of tensorflow.
Is it possible to install a lower versin of tensorflow? If yes, how can I install that? Would I face problems for new updates?
My current tensorflow-gpu version is 1.12.0
What is the best solution to skip this error?
python windows tensorflow gpu
python windows tensorflow gpu
edited Nov 17 '18 at 20:45
Ahmad
asked Nov 17 '18 at 19:30
AhmadAhmad
2,80333058
2,80333058
Articles doing tensorflow-gpu on similar devices and systems might help. For example, deeplearningitalia.com/…
– Harry Hung
Nov 20 '18 at 0:40
add a comment |
Articles doing tensorflow-gpu on similar devices and systems might help. For example, deeplearningitalia.com/…
– Harry Hung
Nov 20 '18 at 0:40
Articles doing tensorflow-gpu on similar devices and systems might help. For example, deeplearningitalia.com/…
– Harry Hung
Nov 20 '18 at 0:40
Articles doing tensorflow-gpu on similar devices and systems might help. For example, deeplearningitalia.com/…
– Harry Hung
Nov 20 '18 at 0:40
add a comment |
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Articles doing tensorflow-gpu on similar devices and systems might help. For example, deeplearningitalia.com/…
– Harry Hung
Nov 20 '18 at 0:40