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# Fame PyTorch ROCm Kit – Installation Instructions 🚀
This file explains how to manually install the Fame-built PyTorch ROCm version.
---
## 🛠️ 1. Prepare Environment
Activate your Python environment (recommended: venv):
```bash
source ~/rocm_env/bin/activate
```
Install CMake if missing:
```bash
pip install cmake
```
Ensure HIP and ROCm paths are correctly set (`ROC_ENABLE_PRE_VEGA=1`, etc).
---
## 🛠️ 2. Build PyTorch
Navigate to the Fame Kit folder:
```bash
cd fame-pytorch-kit/
```
Run the build script:
```bash
bash build_torch.sh
```
---
## 📦 3. Install the Wheel
Navigate to the dist folder:
```bash
cd pytorch/dist/
```
Install the Wheel manually:
```bash
pip install torch-2.8.0a0+gitc402b3b-cp312-cp312-linux_x86_64.whl
```
---
## ✅ 4. Verify Installation
Test your installation:
```bash
python -c "import torch; print(torch.cuda.is_available())"
python -c "import torch; print(torch.cuda.get_device_name(0))"
python -c "import torch; print(torch.version.hip)"
```
You should see:
- `True` (GPU detected)
- Your GPU model name
- HIP version string
---
# Built with Fire. Built with Fame. 🛡️🔥
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