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Description
Hello,
When i run
python main.py --function test --config configs/cub_stage2.yml --opt "{'test': {'load_token_path': 'ckpts/cub983/tokens/', 'load_unet_path': 'ckpts/cub983/unet/', 'save_log_path': 'ckpts/cub983/log.txt'}}”
I am encountering this error
Traceback (most recent call last): File "/p/project/atmlaml/benassou1/ega/GenPromp/main.py", line 646, in <module> eval(args.function)(config) File "/p/project/atmlaml/benassou1/ega/GenPromp/main.py", line 300, in test noise_pred = unet(noisy_latents, timesteps, combine_embeddings).sample File "/p/software/juwelsbooster/stages/2023/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/p/project/atmlaml/benassou1/ega/GenPromp/sc_venv_template/venv/lib/python3.10/site-packages/diffusers/models/unet_2d_condition.py", line 615, in forward sample = upsample_block( File "/p/software/juwelsbooster/stages/2023/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/p/project/atmlaml/benassou1/ega/GenPromp/sc_venv_template/venv/lib/python3.10/site-packages/diffusers/models/unet_2d_blocks.py", line 1813, in forward hidden_states = attn( File "/p/software/juwelsbooster/stages/2023/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/p/project/atmlaml/benassou1/ega/GenPromp/sc_venv_template/venv/lib/python3.10/site-packages/diffusers/models/transformer_2d.py", line 265, in forward hidden_states = block( File "/p/software/juwelsbooster/stages/2023/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/p/project/atmlaml/benassou1/ega/GenPromp/sc_venv_template/venv/lib/python3.10/site-packages/diffusers/models/attention.py", line 321, in forward ff_output = self.ff(norm_hidden_states) File "/p/software/juwelsbooster/stages/2023/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/p/project/atmlaml/benassou1/ega/GenPromp/sc_venv_template/venv/lib/python3.10/site-packages/diffusers/models/attention.py", line 379, in forward hidden_states = module(hidden_states) File "/p/software/juwelsbooster/stages/2023/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/p/software/juwelsbooster/stages/2023/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 114, in forward return F.linear(input, self.weight, self.bias) RuntimeError: CUDA out of memory. Tried to allocate 2.00 MiB (GPU 0; 39.56 GiB total capacity; 7.06 GiB already allocated; 1.94 MiB free; 17.07 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 changed the batch size to 1, reduced the size of the image, max_split_size_mb, and still does not work. Could you please help me to fix this problem ?