intel-extension-for-pytorch
stable-diffusion-webui
intel-extension-for-pytorch | stable-diffusion-webui | |
---|---|---|
16 | 3 | |
1,365 | 41 | |
4.9% | - | |
9.7 | 8.4 | |
4 days ago | about 1 year ago | |
Python | Python | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
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intel-extension-for-pytorch
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Intel Arc A770: Arrays larger than 4GB crashes
I have been playing around in pytorch with an a770 16GB card and hit this error. The response seems to be https://github.com/intel/intel-extension-for-pytorch/issues/... that larger than 4gb allocations aren't supported even though the card is 16gb. I haven't seen a ton of stuff on intel arc for machine learning so wanted to share my experience
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Efficient LLM inference solution on Intel GPU
OK I found it. Looks like they use SYCL (which for some reason they've rebranded to DPC++): https://github.com/intel/intel-extension-for-pytorch/tree/v2...
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Intel CEO: 'The entire industry is motivated to eliminate the CUDA market'
Just to point out it does, kind of: https://github.com/intel/intel-extension-for-pytorch
I've asked before if they'll merge it back into PyTorch main and include it in the CI, not sure if they've done that yet.
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Watch out AMD: Intel Arc A580 could be the next great affordable GPU
Intel already has a working GPGPU stack, using oneAPI/SYCL.
They also have arguably pretty good OpenCL support, as well as downstream support for PyTorch and Tensorflow using their custom extensions https://github.com/intel/intel-extension-for-tensorflow and https://github.com/intel/intel-extension-for-pytorch which are actively developed and just recently brought up-to-date with upstream releases.
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How to run Llama 13B with a 6GB graphics card
https://github.com/intel/intel-extension-for-pytorch :
> Intel® Extension for PyTorch extends PyTorch* with up-to-date features optimizations for an extra performance boost on Intel hardware. Optimizations take advantage of AVX-512 Vector Neural Network Instructions (AVX512 VNNI) and Intel® Advanced Matrix Extensions (Intel® AMX) on Intel CPUs as well as Intel Xe Matrix Extensions (XMX) AI engines on Intel discrete GPUs. Moreover, through PyTorch* xpu device, Intel® Extension for PyTorch* provides easy GPU acceleration for Intel discrete GPUs with PyTorch*
https://pytorch.org/blog/celebrate-pytorch-2.0/ :
> As part of the PyTorch 2.0 compilation stack, TorchInductor CPU backend optimization brings notable performance improvements via graph compilation over the PyTorch eager mode.
The TorchInductor CPU backend is sped up by leveraging the technologies from the Intel® Extension for PyTorch for Conv/GEMM ops with post-op fusion and weight prepacking, and PyTorch ATen CPU kernels for memory-bound ops with explicit vectorization on top of OpenMP-based thread parallelization*
DLRS Deep Learning Reference Stack: https://intel.github.io/stacks/dlrs/index.html
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Train Lora's on Arc GPUs?
Install intel extensions for pytorch using docker. https://github.com/intel/intel-extension-for-pytorch
- Does it make sense to buy intel arc A770 16gb or AMD RX 7900 XT for machine learning?
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PyTorch Intel HD Graphics 4600 card compatibility?
There is: https://github.com/intel/intel-extension-for-pytorch for intel cards on GPUs, but I would assume this doesn't extend to integraded graphics
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Stable Diffusion Web UI for Intel Arc
Nonetheless, this issue might be relevant for your case.
- Does anyone uses Intel Arc A770 GPU for machine learning? [D]
stable-diffusion-webui
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Intel ARC GPU Stable Diffusion WebUI - 7.20 it\sec
git clone https://github.com/jbaboval/stable-diffusion-webui.git
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Stable Diffusion Web UI for Intel Arc
For anyone who is interested, you can also run jbaboval's repository (which neggles's repository is based on) using Ubuntu. You have to use oneapi branch though.
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Intel Arc Stable difussion?
has anyone been able to run stabble difussion on intel arc A770? I found this but I'm kind of new to all this. https://github.com/jbaboval/stable-diffusion-webui/tree/oneapi
What are some alternatives?
llama-cpp-python - Python bindings for llama.cpp
stable-diffusion-webui-arc-directml - A proven usable Stable diffusion webui project on Intel Arc GPU with DirectML
openai-whisper-cpu - Improving transcription performance of OpenAI Whisper for CPU based deployment
Intel_ARC_GPU_WSL_Stable_Diffusion_WEBUI - Intel ARC GPU A750 A770 WSL Stable Diffusion WEBUI
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
stable-diffusion-webui - Stable Diffusion web UI
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
stable-diffusion-webui-ipex-arc - A guide to Intel Arc-enabled (maybe) version of @AUTOMATIC1111/stable-diffusion-webui
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
k-diffusion-directml - Karras et al. (2022) diffusion models for PyTorch
rocm-examples
stablediffusion-directml - High-Resolution Image Synthesis with Latent Diffusion Models