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--- |
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license: mit |
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language: |
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- en |
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- ar |
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tags: |
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- rocm |
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- amd |
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- gpu |
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- build-environment |
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- pytorch |
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- custom-build |
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- deep-learning |
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- machine-learning |
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- llm-enigneering |
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- arabic |
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- multilingual |
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- bilingual |
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--- |
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# Fame PyTorch ROCm Kit 🔥🛡️ |
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Built with Courage. Built with Fire. Built with Fame. |
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--- |
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## 🚀 About |
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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. |
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You will find everything needed to build, install, and test PyTorch from source, generating a valid `.whl` package for your local machine. |
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--- |
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## 📋 Project Structure |
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| File/Folder | Purpose | |
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|:------------|:--------| |
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| `build_torch.sh` | Script to build PyTorch from source | |
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| `install_torch.sh` | Script to install the generated Wheel file | |
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| `test_torch.sh` | Script to test PyTorch import and ROCm status | |
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| `fame_torch_freeze.txt` | Environment freeze (package versions) | |
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| `pytorch-wheel/` | (Optional) Folder containing the `.whl` file | |
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| `MY_WHEELI_NOTES.md` | Notes related to the Wheel build | |
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| `PyTorch_ROCm_Build_Notes.md` | Extended ROCm build notes | |
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| `README.md` | This document – the Fame Masterplan | |
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--- |
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## 🛠️ Build Instructions |
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1. **Activate your ROCm environment** |
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```bash |
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source ~/rocm_env/bin/activate |
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``` |
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2. **Navigate to the project folder** |
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```bash |
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cd fame-pytorch-kit/ |
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``` |
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3. **Build PyTorch** |
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```bash |
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bash build_torch.sh |
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``` |
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The generated `.whl` file will be located in `pytorch/dist/`. |
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--- |
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## 📦 Install Instructions |
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### Quick Install |
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```bash |
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bash install_torch.sh |
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``` |
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### Manual Install |
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```bash |
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cd pytorch/dist/ |
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pip install torch-2.8.0a0+gitc402b3b-cp312-cp312-linux_x86_64.whl |
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``` |
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Make sure your Python environment (venv) is activated! |
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--- |
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## ✅ Test Instructions |
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```bash |
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bash test_torch.sh |
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``` |
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Or manually: |
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```bash |
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python -c "import torch; print(torch.cuda.is_available())" |
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python -c "import torch; print(torch.cuda.get_device_name(0))" |
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python -c "import torch; print(torch.version.hip)" |
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``` |
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Expected: `True`, GPU Name, HIP version string. |
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--- |
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## 📜 License |
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This project is licensed under the MIT License. |
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--- |
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## 🤝 Credits |
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Fame Kit proudly built by [sbeierle](https://github.com/sbeierle) with 🛡️ Courage, 🔥 Fire, and 🚀 Fame. |
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--- |
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# Built with Fire. Built with Fame. 🛡️🔥 |
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--- |
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# Fame PyTorch ROCm Kit 🔥 |
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مُصمم بشجاعة. مُصمم ببراعة. مُصمم بشغف. |
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--- |
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## 🚀 حول |
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يوفر هذا المشروع مجموعة بناء كاملة ومنظمة لتجميع نسخة PyTorch ROCm عاملة على وحدات معالجة الرسومات AMD - دون عناء استخدام وحدات ROCm أو HIP أو OpenMP أو Git الفرعية. |
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ستجد كل ما تحتاجه لبناء PyTorch وتثبيته واختباره من المصدر، مع إنشاء حزمة `.whl` صالحة لجهازك المحلي. |
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--- |
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## 📋 هيكل المشروع |
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| ملف/مجلد | الغرض | |
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|:-----------|:--------| |
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| `build_torch.sh` | سكربت لبناء PyTorch من المصدر | |
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| `install_torch.sh` | سكربت تثبيت ملف Wheel المُولّد | |
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| `test_torch.sh` | سكربت لاختبار استيراد PyTorch وحالة ROCm | |
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| `fame_torch_freeze.txt` | تجميد البيئة (إصدارات الحزمة) | |
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| `pytorch-wheel/` | (اختياري) المجلد الذي يحتوي على ملف `.whl` | |
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| `MY_WHEELI_NOTES.md` | ملاحظات متعلقة ببناء Wheel | |
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| `PyTorch_ROCm_Build_Notes.md` | ملاحظات بناء ROCm الموسعة | |
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| `README.md` | هذه الوثيقة - الخطة الرئيسية لـ Fame | |
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--- |
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## 🛠️ تعليمات البناء |
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1. **تفعيل بيئة ROCm** |
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```bash |
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source ~/rocm_env/bin/activate |
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``` |
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2. **انتقل إلى مجلد المشروع** |
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```bash |
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cd fame-pytorch-kit/ |
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``` |
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3. **بناء PyTorch** |
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```bash |
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bash build_torch.sh |
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``` |
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سيكون ملف `.whl` المُنشأ موجودًا في `pytorch/dist/`. |
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--- |
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## 📦 تعليمات التثبيت |
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### تثبيت سريع |
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```bash |
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bash install_torch.sh |
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``` |
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### تثبيت يدوي |
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```bash |
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cd pytorch/dist/ |
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pip install torch-2.8.0a0+gitc402b3b-cp312-cp312-linux_x86_64.whl |
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``` |
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تأكد من تفعيل بيئة بايثون (venv) لديك! |
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--- |
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## ✅ تعليمات الاختبار |
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```bash |
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bash test_torch.sh |
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``` |
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أو يدويًا: |
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```bash |
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python -c "import torch; print(torch.cuda.is_available())" |
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python -c "import torch; print(torch.cuda.get_device_name(0))" |
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python -c "import torch; print(torch.version.hip)" |
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``` |
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المتوقع: `True`، اسم وحدة معالجة الرسومات، سلسلة إصدار HIP. |
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--- |
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## 📜 الترخيص |
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هذا المشروع مرخص بموجب ترخيص معهد ماساتشوستس للتكنولوجيا (MIT). |
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--- |
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## 🤝 شكر وتقدير |
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مجموعة الشهرة مصممة بفخر من قِبل [sbeierle](https://github.com/sbeierle) بشجاعة 🛡️، وحماس 🔥، وشهرة 🚀. |
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--- |
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# صُنعت بالنار. صُنعت بالشهرة. 🛡️🔥 |
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# Fame PyTorch ROCm Kit 🔥 |
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