File size: 2,246 Bytes
5ba1de3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 |
<<<<<<< HEAD
# Fame PyTorch ROCm Kit 🔥
Built with Courage. Built with Fire. Built with FAME.
---
## 🚀 About
This project provides a complete and clean build kit for compiling a working PyTorch ROCm version on AMD GPUs – without the usual headaches involving ROCm, HIP, OpenMP, or Git submodules.
You will find everything needed to build, install, and test PyTorch from source, generating a valid `.whl` package for your local machine.
---
## 📋 Project Structure
| File/Folder | Purpose |
|:------------|:--------|
| `build_torch.sh` | Script to build PyTorch from source |
| `install_torch.sh` | Script to install the generated Wheel file |
| `test_torch.sh` | Script to test PyTorch import and ROCm status |
| `fame_torch_freeze.txt` | Environment freeze (package versions) |
| `pytorch-wheel/` | (Optional) Folder containing the `.whl` file |
| `MY_WHEELI_NOTES.md` | Notes related to the Wheel build |
| `PyTorch_ROCm_Build_Notes.md` | Extended ROCm build notes |
| `README.md` | This document – the Fame Masterplan |
---
## 🛠️ Build Instructions
1. **Activate your ROCm environment**
```bash
source ~/rocm_env/bin/activate
```
2. **Navigate to the project folder**
```bash
cd fame-pytorch-kit/
```
3. **Build PyTorch**
```bash
bash build_torch.sh
```
The generated `.whl` file will be located in `pytorch/dist/`.
---
## 📦 Install Instructions
### Quick Install
```bash
bash install_torch.sh
```
### Manual Install
```bash
cd pytorch/dist/
pip install torch-2.8.0a0+gitc402b3b-cp312-cp312-linux_x86_64.whl
```
Make sure your Python environment (venv) is activated!
---
## ✅ Test Instructions
```bash
bash test_torch.sh
```
Or manually:
```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)"
```
Expected: `True`, GPU Name, HIP version string.
---
## 📜 License
This project is licensed under the MIT License.
---
## 🤝 Credits
Fame Kit proudly built by [sbeierle](https://github.com/sbeierle) with 🛡️ Courage, 🔥 Fire, and 🚀 Fame.
---
# Built with Fire. Built with Fame. 🛡️🔥
=======
# fame-pytorch-kit
>>>>>>> cbd4317 (first commit)
|