Expand documentation

documentation/CP-plugins-documentation/using_GPU.md → documentation/CP-plugins-documentation/RunCellPose.md

@@ -1,13 +1,13 @@
-# Using a GPU with CellProfiler Plugins
+# RunCellPose
 
-These CellProfiler modules currently support using a GPU: LIST MODULES
+## Using RunCellPose with a GPU
 
-## Tips for Setting Up Your GPU (if you have one)
+If you want to use a GPU to run the model (this is recommended for speed), you'll need a compatible version of PyTorch and a supported GPU. 
+General instructions are available at this [link](https://pytorch.org/get-started/locally/).
 
-If you want to use a GPU to run the model (this is recommended for speed), you'll need a compatible version of PyTorch and a supported GPU. General instructions are available at this [link](https://pytorch.org/get-started/locally/).
-
-1. Your GPU should be visible in Device Manager under Display Adaptors. If your GPU isn't there, you likely need to install drivers.
-    * [Here](https://www.nvidia.com/Download/Find.aspx) is where you can find NVIDIA GPU drivers if you need to install them.
+1. Your GPU should be visible in Device Manager under Display Adaptors. 
+If your GPU isn't there, you likely need to install drivers.
+[Here](https://www.nvidia.com/Download/Find.aspx) is where you can find NVIDIA GPU drivers if you need to install them.
 
 
 2. To test whether the GPU is configured correctly:
@@ -24,3 +24,11 @@ If you want to use a GPU to run the model (this is recommended for speed), you'l
   pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113
   ```
   If you have a previous version of torch installed, make sure to run `pip uninstall torch` first.
+
+
+**NOTE**: You might get a warning like this:
+```
+W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
+2022-05-26 20:24:21.906286: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
+```
+If you don't have a GPU, this is not a problem. If you do, your configuration is incorrect and you need to try reinstalling drivers and the correct version of CUDA for your system.