You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: docs/installation.md
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -96,7 +96,7 @@ The ONLY thing you need to do **first** if you have an NVIDIA GPU and the matchi
96
96
97
97
#### The most common "new user" hurdle is installing and using your GPU, so don't get discouraged!
98
98
99
-
**CRITICAL:** If you have a GPU, you should FIRST then **install the NVIDIA CUDA package and an appropriate driver for your specific GPU**, then you can use the supplied conda file. Please follow the instructions found here https://www.tensorflow.org/install/gpu, and more tips below, to install the correct version of CUDA and your graphic card driver. The order of operations matters.
99
+
**CRITICAL:** If you have a GPU, you should FIRST **install the NVIDIA CUDA package and an appropriate driver for your specific GPU**, then you can use the supplied conda file. Please follow the instructions found here https://www.tensorflow.org/install/gpu, and more tips below, to install the correct version of CUDA and your graphic card driver. The order of operations matters.
100
100
101
101
- Here we provide notes on how to install and check your GPU use with TensorFlow (which is used by DeepLabCut and already installed with the Anaconda files above). Thus, you do not need to independently install tensorflow.
0 commit comments