Do I need to install CUDA driver for tensorflow-gpu manually if I install tf through conda
I followed this tutorial and installed tf-gpu using conda (https://www.pugetsystems.com/labs/hpc/The-Best-Way-to-Install-TensorFlow-with-GPU-Support-on-Windows-10-Without-Installing-CUDA-1187/) and it worked because I am seeing "...gpu:0" in my printed out log. Before I did the installation, I already have CUDA driver installed, so I am not sure.
Seems to me that conda install tensorflow-gpu comes with cuda toolkit and cuDNN,etc. I was wondering if installing CUDA driver is a require step. Another post I found did't mention driver either (https://towardsdatascience.com/tensorflow-gpu-installation-made-easy-use-conda-instead-of-pip-52e5249374bc). But the official GPU guide says it's required, so I am confused. I am doing it on Windows 10.
python tensorflow cuda deep-learning
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I followed this tutorial and installed tf-gpu using conda (https://www.pugetsystems.com/labs/hpc/The-Best-Way-to-Install-TensorFlow-with-GPU-Support-on-Windows-10-Without-Installing-CUDA-1187/) and it worked because I am seeing "...gpu:0" in my printed out log. Before I did the installation, I already have CUDA driver installed, so I am not sure.
Seems to me that conda install tensorflow-gpu comes with cuda toolkit and cuDNN,etc. I was wondering if installing CUDA driver is a require step. Another post I found did't mention driver either (https://towardsdatascience.com/tensorflow-gpu-installation-made-easy-use-conda-instead-of-pip-52e5249374bc). But the official GPU guide says it's required, so I am confused. I am doing it on Windows 10.
python tensorflow cuda deep-learning
1
in my experience on linux,conda install cuda
does not install a GPU driver. and a GPU driver is required to use a CUDA GPU. On windows, in many cases a GPU driver will be automatically installed by windows, e.g. for typical WDDM GPUs like GeForce GPUs. Whether or not this driver is compatible with the toolkit version installed by conda is perhaps not guaranteed, but I think it generally would be compatible.
– Robert Crovella
Nov 14 '18 at 2:48
add a comment |
I followed this tutorial and installed tf-gpu using conda (https://www.pugetsystems.com/labs/hpc/The-Best-Way-to-Install-TensorFlow-with-GPU-Support-on-Windows-10-Without-Installing-CUDA-1187/) and it worked because I am seeing "...gpu:0" in my printed out log. Before I did the installation, I already have CUDA driver installed, so I am not sure.
Seems to me that conda install tensorflow-gpu comes with cuda toolkit and cuDNN,etc. I was wondering if installing CUDA driver is a require step. Another post I found did't mention driver either (https://towardsdatascience.com/tensorflow-gpu-installation-made-easy-use-conda-instead-of-pip-52e5249374bc). But the official GPU guide says it's required, so I am confused. I am doing it on Windows 10.
python tensorflow cuda deep-learning
I followed this tutorial and installed tf-gpu using conda (https://www.pugetsystems.com/labs/hpc/The-Best-Way-to-Install-TensorFlow-with-GPU-Support-on-Windows-10-Without-Installing-CUDA-1187/) and it worked because I am seeing "...gpu:0" in my printed out log. Before I did the installation, I already have CUDA driver installed, so I am not sure.
Seems to me that conda install tensorflow-gpu comes with cuda toolkit and cuDNN,etc. I was wondering if installing CUDA driver is a require step. Another post I found did't mention driver either (https://towardsdatascience.com/tensorflow-gpu-installation-made-easy-use-conda-instead-of-pip-52e5249374bc). But the official GPU guide says it's required, so I am confused. I am doing it on Windows 10.
python tensorflow cuda deep-learning
python tensorflow cuda deep-learning
asked Nov 14 '18 at 0:43
Yongyao JiangYongyao Jiang
4618
4618
1
in my experience on linux,conda install cuda
does not install a GPU driver. and a GPU driver is required to use a CUDA GPU. On windows, in many cases a GPU driver will be automatically installed by windows, e.g. for typical WDDM GPUs like GeForce GPUs. Whether or not this driver is compatible with the toolkit version installed by conda is perhaps not guaranteed, but I think it generally would be compatible.
– Robert Crovella
Nov 14 '18 at 2:48
add a comment |
1
in my experience on linux,conda install cuda
does not install a GPU driver. and a GPU driver is required to use a CUDA GPU. On windows, in many cases a GPU driver will be automatically installed by windows, e.g. for typical WDDM GPUs like GeForce GPUs. Whether or not this driver is compatible with the toolkit version installed by conda is perhaps not guaranteed, but I think it generally would be compatible.
– Robert Crovella
Nov 14 '18 at 2:48
1
1
in my experience on linux,
conda install cuda
does not install a GPU driver. and a GPU driver is required to use a CUDA GPU. On windows, in many cases a GPU driver will be automatically installed by windows, e.g. for typical WDDM GPUs like GeForce GPUs. Whether or not this driver is compatible with the toolkit version installed by conda is perhaps not guaranteed, but I think it generally would be compatible.– Robert Crovella
Nov 14 '18 at 2:48
in my experience on linux,
conda install cuda
does not install a GPU driver. and a GPU driver is required to use a CUDA GPU. On windows, in many cases a GPU driver will be automatically installed by windows, e.g. for typical WDDM GPUs like GeForce GPUs. Whether or not this driver is compatible with the toolkit version installed by conda is perhaps not guaranteed, but I think it generally would be compatible.– Robert Crovella
Nov 14 '18 at 2:48
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In my experience you do not need to install cuda or cudnn. Just your graphics driver is enough.
But depending on your system it might not be optimized. For that you would need to compile tensorflow from scratch and optimize it for your system.
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In my experience you do not need to install cuda or cudnn. Just your graphics driver is enough.
But depending on your system it might not be optimized. For that you would need to compile tensorflow from scratch and optimize it for your system.
add a comment |
In my experience you do not need to install cuda or cudnn. Just your graphics driver is enough.
But depending on your system it might not be optimized. For that you would need to compile tensorflow from scratch and optimize it for your system.
add a comment |
In my experience you do not need to install cuda or cudnn. Just your graphics driver is enough.
But depending on your system it might not be optimized. For that you would need to compile tensorflow from scratch and optimize it for your system.
In my experience you do not need to install cuda or cudnn. Just your graphics driver is enough.
But depending on your system it might not be optimized. For that you would need to compile tensorflow from scratch and optimize it for your system.
answered Nov 14 '18 at 8:00
SmokrowSmokrow
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in my experience on linux,
conda install cuda
does not install a GPU driver. and a GPU driver is required to use a CUDA GPU. On windows, in many cases a GPU driver will be automatically installed by windows, e.g. for typical WDDM GPUs like GeForce GPUs. Whether or not this driver is compatible with the toolkit version installed by conda is perhaps not guaranteed, but I think it generally would be compatible.– Robert Crovella
Nov 14 '18 at 2:48