![Applied Sciences | Free Full-Text | Efficient Use of GPU Memory for Large-Scale Deep Learning Model Training Applied Sciences | Free Full-Text | Efficient Use of GPU Memory for Large-Scale Deep Learning Model Training](https://pub.mdpi-res.com/applsci/applsci-11-10377/article_deploy/html/images/applsci-11-10377-g006.png?1636352063)
Applied Sciences | Free Full-Text | Efficient Use of GPU Memory for Large-Scale Deep Learning Model Training
How to clear GPU memory without restarting kernel when using a PyTorch model · Issue #121203 · pytorch/pytorch · GitHub
How to clear GPU memory without restarting kernel when using a PyTorch model · Issue #121203 · pytorch/pytorch · GitHub
![How can l clear the old cache in GPU, when training different groups of data continuously? - Memory Format - PyTorch Forums How can l clear the old cache in GPU, when training different groups of data continuously? - Memory Format - PyTorch Forums](https://discuss.pytorch.org/uploads/default/original/3X/8/b/8b94ad2e444c53dd5cb1ad62fe8334543856d612.png)
How can l clear the old cache in GPU, when training different groups of data continuously? - Memory Format - PyTorch Forums
![When using an OCR model built with PyTorch for inference, there is an oscillating increase in GPU memory usage as the batch size is increased - vision - PyTorch Forums When using an OCR model built with PyTorch for inference, there is an oscillating increase in GPU memory usage as the batch size is increased - vision - PyTorch Forums](https://discuss.pytorch.org/uploads/default/original/3X/a/7/a7d1a75f56e85d4e1f1bcdc319b4c46936e69f4e.png)
When using an OCR model built with PyTorch for inference, there is an oscillating increase in GPU memory usage as the batch size is increased - vision - PyTorch Forums
![How to allocate more GPU memory to be reserved by PyTorch to avoid "RuntimeError: CUDA out of memory"? - PyTorch Forums How to allocate more GPU memory to be reserved by PyTorch to avoid "RuntimeError: CUDA out of memory"? - PyTorch Forums](https://discuss.pytorch.org/uploads/default/original/3X/3/e/3ee231b3cbd63d5af8603d624e59a2d0238a2a9e.png)
How to allocate more GPU memory to be reserved by PyTorch to avoid "RuntimeError: CUDA out of memory"? - PyTorch Forums
![RuntimeError: CUDA out of memory. Tried to allocate 384.00 MiB (GPU 0; 11.17 GiB total capacity; 10.62 GiB already allocated; 145.81 MiB free; 10.66 GiB reserved in total by PyTorch) - Beginners - Hugging Face Forums RuntimeError: CUDA out of memory. Tried to allocate 384.00 MiB (GPU 0; 11.17 GiB total capacity; 10.62 GiB already allocated; 145.81 MiB free; 10.66 GiB reserved in total by PyTorch) - Beginners - Hugging Face Forums](https://global.discourse-cdn.com/hellohellohello/original/2X/c/c164a248b2ba7d82986a125ea7190c868081b81c.png)
RuntimeError: CUDA out of memory. Tried to allocate 384.00 MiB (GPU 0; 11.17 GiB total capacity; 10.62 GiB already allocated; 145.81 MiB free; 10.66 GiB reserved in total by PyTorch) - Beginners - Hugging Face Forums
![How to Combine TensorFlow and PyTorch and Not Run Out of CUDA Memory | by GLAMI Engineering | Medium How to Combine TensorFlow and PyTorch and Not Run Out of CUDA Memory | by GLAMI Engineering | Medium](https://miro.medium.com/v2/resize:fit:1125/1*5H1twd5LLBJE2CzdOv-zYg.jpeg)