Ruijia Wu
Ruijia Wu
图片似乎显示不出来，图片 内容如下： COCOeval_opt.evaluate() finished in 0.16 seconds. Accumulating evaluation results... COCOeval_opt.accumulate() finished in 0.02 seconds. Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.000 Average Precision...
Excuse me, have you fixed the problem?
> This branch contains the code to prepare ACDC dataset for training with TransUNet. Modified train and test scripts are also provided. Thanks for the complemention of code about ACDC...
I meet the similar results, this is my running code, and results as follows: export CUDA_VISIBLE_DEVICES=4 accelerate launch inference_textdiffuser2_t2i_full.py \ --pretrained_model_name_or_path="/home/jovyan/wrj/workspace/project/tools/stable-diffusion-v1-5" \ --mixed_precision="fp16" \ --output_dir="inference_results" \ --enable_xformers_memory_efficient_attention \ --resume_from_checkpoint="/home/jovyan/wrj/workspace/project/unilm/textdiffuser-2/ckpt/JingyeChen22/textdiffuser2-full-ft" \...
> I meet the similar results, this is my running code, and results as follows: export CUDA_VISIBLE_DEVICES=4 accelerate launch inference_textdiffuser2_t2i_full.py --pretrained_model_name_or_path="/home/jovyan/wrj/workspace/project/tools/stable-diffusion-v1-5" --mixed_precision="fp16" --output_dir="inference_results" --enable_xformers_memory_efficient_attention --resume_from_checkpoint="/home/jovyan/wrj/workspace/project/unilm/textdiffuser-2/ckpt/JingyeChen22/textdiffuser2-full-ft" --granularity=128 --max_length=77 --coord_mode="ltrb" --cfg=7.5 --sample_steps=20...
Hi, I meet the same error, have you figured it out?
> OK I see sorry for this misunderstanding. > > You should set an arg called 'model_name' to force loading model with FlamingoForConditionalGeneration > > The model with 'init' postfix...
> Can you try the following code and see if what happens? > > from flamingo import FlamingoForConditionalGeneration model = FlamingoForConditionalGeneration.from_pretrained("luodian/OTTER-MPT1B-RPJama-Init") I follow the comment below: https://github.com/Luodian/Otter/blob/16d73b399fac6352ebff7504b1acb1f228fbf3f4/flamingo/modeling_flamingo.py#L710 and modify the...
> We put our configs [here](https://github.com/Luodian/Otter/blob/main/pipeline/accelerate_configs/accelerate_config_fsdp.yaml). > > You can use 1 GPU with at least 33-34G memory to start training. If you load the model with bf16 or fp16,...