docs(*): Add readmes

rlgym training/readme-amd.md

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+# Getting this working using an AMD RX 7900 XT or XTX
+
+## Install Ubuntu and pre-requisites
+
+Install Ubuntu Desktop 22.04.3 - you can always dual-boot this if you're doing training on your gaming PC. This section of the documentation is based on https://rocm.docs.amd.com/projects/radeon/en/latest/docs/install/install-radeon.html
+
+### Install AMD unified driver package repositories and installer script
+
+Download and install the amdgpu-install script on the system.
+
+Enter the following commands to install the installer script for Ubuntu® version 22.04.3:
+
+```bash
+sudo apt update
+wget https://repo.radeon.com/amdgpu-install/23.20.00.48/ubuntu/jammy/amdgpu-install_5.7.00.48.50700-1_all.deb
+sudo apt install ./amdgpu-install_5.7.00.48.50700-1_all.deb
+```
+
+### Install the Graphics usecase
+
+Run the following command to install open source graphics and ROCm.
+
+```bash
+amdgpu-install -y --usecase=graphics,rocm
+```
+
+    Watch for output warning or errors indicating an unsuccessful driver installation.
+
+    NOTE: The -y option installs non-interactively. This step may take several minutes, depending on internet connection and system speed.
+
+Reboot the system.
+
+```bash
+sudo reboot
+```
+
+### Set permissions for Groups to allow access to GPU hardware resources
+
+Once the driver is installed, add any current user to the render and video groups to access GPU resources.
+
+    Reboot in order for group changes to take effect.
+
+Add user to render and video groups
+
+Enter the following command to check groups in the system:
+
+```bash
+groups
+```
+
+Add user to the render and video group using the command:
+
+```bash
+sudo usermod -a -G render,video $LOGNAME
+```
+
+Reboot the system.
+
+```bash
+sudo reboot
+```
+
+### Post-install verification checks
+
+Run these post-installation checks to verify that the installation is complete:
+
+Verify that the current user is added to the render and video groups.
+
+```bash
+groups
+```
+
+Expected result:
+
+`<username>` adm cdrom sudo dip video plugdev render lpadmin lxd sambashare
+
+`<username>` indicates the current user, and this result will vary in your environment.
+
+Check if amdgpu kernel driver is installed.
+
+```bash
+dkms status
+```
+
+Expected result:
+
+amdgpu/x.x.x-xxxxxxx.xx.xx, x.x.x-xx-generic, x86_64: installed
+
+Check if the GPU is listed as an agent.
+
+```bash
+rocminfo
+```
+
+Expected result:
+
+[...]
+*******
+Agent 2
+*******
+  Name:                    gfx1100
+  Uuid:                    GPU-5ecee39292e80c37
+  Marketing Name:          Radeon RX 7900 XTX
+  Vendor Name:             AMD
+  [...]
+[...]
+
+Check if the GPU is listed.
+
+```bash
+clinfo
+```
+
+Expected result:
+
+[...]
+  Platform Name:                 AMD Accelerated Parallel Processing
+Number of devices:               1
+  Device Type:                   CL_DEVICE_TYPE_GPU
+  Vendor ID:                     1002h
+  Board name:                    Radeon RX 7900 XTX
+[...]
+
+### PyTorch via PIP installation method
+
+AMD recommends the PIP install method to create a PyTorch environment when working with ROCm for machine learning development.
+
+Check Pytorch.org for latest PIP install instructions and availability. See Compatibility matrices for support information.
+
+To install PyTorch,
+
+Enter the following command to unpack and begin set up.
+
+```bash
+sudo apt install python3-pip -y
+```
+
+Enter this command to update the pip wheel.
+
+```bash
+pip3 install --upgrade pip wheel
+```
+
+Enter this command to install Torch and Torchvision for ROCm AMD GPU support.
+
+```bash
+wget https://repo.radeon.com/rocm/manylinux/rocm-rel-5.7/torch-2.0.1%2Brocm5.7-cp310-cp310-linux_x86_64.whl
+wget https://repo.radeon.com/rocm/manylinux/rocm-rel-5.7/torchvision-0.15.2%2Brocm5.7-cp310-cp310-linux_x86_64.whl
+pip3 install --force-reinstall torch-2.0.1+rocm5.7-cp310-cp310-linux_x86_64.whl torchvision-0.15.2+rocm5.7-cp310-cp310-linux_x86_64.whl 
+```
+
+This may take several minutes.
+
+Important! AMD recommends proceeding with ROCm WHLs available at repo.radeon.com.
+The ROCm WHLs available at PyTorch.org are not tested extensively by AMD as the WHLs change regularly when the nightly builds are updated.
+
+### Verify PyTorch installation
+
+Confirm if PyTorch is correctly installed.
+
+Verify if Pytorch is installed and detecting the GPU compute device.
+
+```bash
+python3 -c 'import torch' 2> /dev/null && echo 'Success' || echo 'Failure'
+```
+
+Expected result:
+
+Success
+
+Enter command to test if the GPU is available.
+
+```bash
+python3 -c 'import torch; print(torch.cuda.is_available())'
+```
+
+Expected result:
+
+True
+
+Enter command to display installed GPU device name.
+
+```bash
+python3 -c "import torch; print(f'device name [0]:', torch.cuda.get_device_name(0))"
+```
+
+Expected result: Example: device name [0]: Radeon RX 7900 XTX
+
+device name [0]: <Supported AMD GPU>
+
+Enter command to display component information within the current PyTorch environment.
+
+```bash
+python3 -m torch.utils.collect_env
+```
+
+Expected result:
+
+PyTorch version
+ 
+ROCM used to build PyTorch
+ 
+OS
+ 
+Is CUDA available
+ 
+GPU model and configuration
+ 
+HIP runtime version
+ 
+MIOpen runtime version
+
+Environment set-up is complete, and the system is ready for use with PyTorch to work with machine learning models, and algorithms.
+
+## Update the code
+
+Identify any parts written specifically for NVIDIA GPUs and modify them to be compatible with AMD GPUs. 
+
+In PyTorch this typically means replacing `.cuda()` calls with `.to('hip')` to leverage ROCm's HIP platform.

rlgym training/readme.md

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+# Sarpy v3
+
+`python3 -m venv venv`
+
+On Windows `./venv/Scripts/activate`
+On Mac/Linux `source venv/bin/activate`
+
+`pip3 install -r requirements.txt`
+