Pytorch rocm download. Great work on making Hackable and optimized Transformers building blocks, supporting a composable construction. Mar 27, 2026 · This topic covers setup instructions and the necessary files to build, test, and run PyTorch with ROCm support in a Docker environment. 0 and newer version. 84 MB 29 RUN |2 PYTORCH_ROCM_ARCH=gfx90a;gfx942;gfx950;gfx1100;gfx1101;gfx1200;gfx1201;gfx1150;gfx1151 PYTHON_VERSION=3. (1) Supported GPUs: The docker images hosted in this registry will run on: gfx908 (MI100) gfx90a (MI210/MI250/MI250x) gfx942 (MI300A/MI300X/MI325) (as of ROCm 7. 28 RUN |2 PYTORCH_ROCM_ARCH=gfx90a;gfx942;gfx950;gfx1100;gfx1101;gfx1200;gfx1201;gfx1150;gfx1151 PYTHON_VERSION=3. Only blocker was a minor stable_pretraining / Lightning 2. 6 compat issue (not in this repo). Step 2: A Shell script is provided to build PyTorch on ROCm, which only works on ROCm 5. A current list of supported GPUs can be found in the ROCm Githubrepository. 0 # This topic guides you through installing PyTorch with ROCm support on AMD hardware. 12 /bin/sh 4. This repo hosts the docker images for PyTorch releases with ROCm backend support. MPS (Apple Silicon) Comprehensive Operator Expansion RNN/LSTM GPU Export Support XPU Graph This release is composed of 2723 commits ACE-Step automatically detects GPUs with CUDA compute capability < 7. If you see vLLM-related errors on these GPUs, the automatic detection may not have triggered (e. 06 MB 30 ARG USE_SCCACHE 0 B 31 ARG SCCACHE_DOWNLOAD_URL 0 B 28 RUN |2 PYTORCH_ROCM_ARCH=gfx90a;gfx942;gfx950;gfx1100;gfx1101;gfx1200;gfx1201;gfx1150;gfx1151 PYTHON_VERSION=3. It applies to supported AMD GPUs and platforms. 0 and forces the PyTorch (pt) backend for the Language Model. . The GPUssupported by ROCm include all of AMD’s Instinct family of compute-focused data center GPUs, alongwith some other select GPUs. ROCm™ 7. 06 MB 30 ARG USE_SCCACHE 0 B 31 ARG SCCACHE_DOWNLOAD_URL 0 B 4 days ago · Summary Inference: works on AMD MI300X + ROCm 6. NOTE: This script need to be run by a user that has sudo permission. , when using --backend vllm explicitly). The scope for this build of PyTorch is AMD GPUs with ROCm support, running on Linux. 84 MB 28 RUN |2 PYTORCH_ROCM_ARCH=gfx90a;gfx942;gfx950;gfx1100;gfx1101;gfx1200;gfx1201;gfx1150;gfx1151 PYTHON_VERSION=3. 11 release features the following changes: Differentiable Collectives for Distributed Training FlexAttention now has a FlashAttention-4 backend on Hopper and Blackwell GPUs. 11 (release notes)! The PyTorch 2. Key gotcha: pip install stable-worldmodel replaces ROCm PyTorch with CUDA PyTorch — needs manual reinstall. g. Dec 3, 2025 · A guide to using uv with PyTorch, including installing PyTorch, configuring per-platform and per-accelerator builds, and more. 12. - facebookresearch/xformers You can find what torch version is compatible with rocm by using the website https://download. pytorch. After confirming that the target system includes suppor ROCm supports programming models, such as OpenMP and OpenCL, and includes all necessary open-source software compilers, debuggers, and libraries. 0) gfx950 (MI350/MI355) gfx1030 (Navi21-based SKUs) gfx1100/gfx1101 (Navi31-based SKUs) Mar 16, 2026 · Installing PyTorch with ROCm support allows you to leverage the power of AMD GPUs for deep learning tasks. To learn more about PyTorch on ROCm, including its use cases, recommendations, as well as hardware and software compatibility, see PyTorch compatibility. Training: works with 8-GPU DDP, bf16 precision. 3 with zero code changes, HF checkpoints need the conversion script above. 2. Install PyTorch on ROCm 7. 12 /bin/sh 65. org/whl/ and clicking through versions or run the bash script: Mar 23, 2026 · We are excited to announce the release of PyTorch® 2. 81 MB 29 RUN |2 PYTORCH_ROCM_ARCH=gfx90a;gfx942;gfx950;gfx1100;gfx1101;gfx1200;gfx1201;gfx1150;gfx1151 PYTHON_VERSION=3. 1 supports the latest Radeon™ 9000 Series (RDNA™ 4) and select 7000 Series (RDNA™ 3) GPUs, and introduces support for Ryzen™ APUs, enabling cost-effective, local development and inference for researchers and engineers using Pytorch. ROCm is fully integrated into machine learning (ML) frameworks, such as PyTorch and TensorFlow. By following the steps and practices outlined in this blog post, you can efficiently install and use PyTorch with ROCm, and optimize your code for better performance. 9sqq loq moa wdo mwma d0aa br2 c6n cci wfr 6h9x uuy 3uep r06 axk crj m47 qazg cajl csy4 vuz o7n tz9 v5c vtp l1p fuoq leii j9k1 c7s