Phriction Projects Wikis Bioimaging And Optics Platform Computers & Servers at the BIOP Software TensorFlow GPU & CARE History Version 5 vs 6
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Version 5 vs 6
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Installing TensorFlow with GPU Support for Windows in order to use CARE
= Prerequisites =
# Get latest [[https://www.geforce.com/drivers|NVIDIA drivers]]
# Get [[https://developer.nvidia.com/cuda-10.0-download-archive|CUDA 10.0 Toolkit]]
# Get [[https://developer.nvidia.com/rdp/cudnn-download|cuDNN for CUDA 10.0]] (Needs you to login)
# Get [[https://www.python.org/downloads/|Python 3.7]]
D:\care-oli>jupyter --paths
Installing TensorFlow with GPU Support for Windows in order to use CARE
= Prerequisites =
# Get latest [[https://www.geforce.com/drivers|NVIDIA drivers]]
# Get [[https://developer.nvidia.com/cuda-10.0-download-archive|CUDA 10.0 Toolkit]]
# Get [[https://developer.nvidia.com/rdp/cudnn-download|cuDNN for CUDA 10.0]] (Needs you to login)
# Get [[https://www.python.org/downloads/|Python 3.7]]
After installing python, install pip and virtualenv.
Start `cmd` as an administrator and use
`python -m pip install --upgrade pip`
`pip install virtualenv`
= Setup =
1. Create the virtual environement wherever you want, for example `D:\CARE-TF-GPU`
`virtualenv -p python D:\CARE-TF-GPU\`
2. Activate the virtual environement
```d:
cd CARE-TF-GPU
Scripts\activate
```
2. Install `tensorflow-gpu`, `csbdeep` and `jupyter notebook`
`pip install tensorflow-gpu csbdeep jupyter notebook`
D:\care-oli>jupyter --paths
Installing TensorFlow with GPU Support for Windows in order to use CARE
= Prerequisites =
# Get latest [[https://www.geforce.com/drivers|NVIDIA drivers]]
# Get [[https://developer.nvidia.com/cuda-10.0-download-archive|CUDA 10.0 Toolkit]]
# Get [[https://developer.nvidia.com/rdp/cudnn-download|cuDNN for CUDA 10.0]] (Needs you to login)
# Get [[https://www.python.org/downloads/|Python 3.7]]
After installing python, install pip and virtualenv.
Start `cmd` as an administrator and use
`python -m pip install --upgrade pip`
`pip install virtualenv`
= Setup =
1. Create the virtual environement wherever you want, for example `D:\CARE-TF-GPU`
`virtualenv -p python D:\CARE-TF-GPU\`
2. Activate the virtual environement
```d:
cd CARE-TF-GPU
Scripts\activate
```
2. Install `tensorflow-gpu`, `csbdeep` and `jupyter notebook`
`pip install tensorflow-gpu csbdeep jupyter notebook`
D:\care-oli>jupyter --paths
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