CUDA out of memory. Tried to allocate 508.00 MiB. GPU 0 has a total capacty of 6.00 GiB of which 0 bytes is free · Issue #55 · suno-ai/bark · GitHub
![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/optimized/1X/c164a248b2ba7d82986a125ea7190c868081b81c_2_1024x517.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
![torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 256.00 MiB (GPU 0; 39.56 GiB total capacity; 37.84 GiB already allocated; 242.56 MiB free; 37.96 GiB reserved in total by PyTorch) - 🤗Transformers - Hugging Face Forums torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 256.00 MiB (GPU 0; 39.56 GiB total capacity; 37.84 GiB already allocated; 242.56 MiB free; 37.96 GiB reserved in total by PyTorch) - 🤗Transformers - Hugging Face Forums](https://global.discourse-cdn.com/hellohellohello/optimized/3X/6/f/6fad099788baf6656402515888a77a700bc36153_2_690x217.png)
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 256.00 MiB (GPU 0; 39.56 GiB total capacity; 37.84 GiB already allocated; 242.56 MiB free; 37.96 GiB reserved in total by PyTorch) - 🤗Transformers - Hugging Face Forums
![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-g001.png?1636352063)
Applied Sciences | Free Full-Text | Efficient Use of GPU Memory for Large-Scale Deep Learning Model Training
![Running for several months without issue - Suddenly getting "CUDA error in CudaProgram.cu:388 : out of memory (2)" : r/EtherMining Running for several months without issue - Suddenly getting "CUDA error in CudaProgram.cu:388 : out of memory (2)" : r/EtherMining](https://preview.redd.it/nseuvd40kum61.png?width=982&format=png&auto=webp&s=68d0d9d93ff2146505f06147d2f88d2dc612ca18)