Dear Author, thanks for your work!
I'm running the training on my computer and had out of memory error.
I'm using 4090
Training with error:
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 50.00 MiB (GPU 0; 23.64 GiB total capacity; 22.20 GiB already allocated; 70.75 MiB free; 22.38 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
I'm using 4090, my configs: anything I can do to train on my computer ?
Dear Author, thanks for your work! I'm running the training on my computer and had out of memory error. I'm using 4090
Training with error: torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 50.00 MiB (GPU 0; 23.64 GiB total capacity; 22.20 GiB already allocated; 70.75 MiB free; 22.38 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
I'm using 4090, my configs: anything I can do to train on my computer ?
batch_size = 1 #16 logger_freq = 1000 learning_rate = 1e-5 sd_locked = True #False only_mid_control = True #False n_gpus = 1 accumulate_grad_batches=1