The pretrained models run had no effect
beiguagua opened this issue · comments
When I downloaded the pre-trained model and data set and evaluated it using the code below, the average ratio was just 0.01
python evaluation.py --evaluate --load-model --model-path models/setting2_discrete.pt --load-dataset --dataset-path datasets/setting123_discrete.pt
Evaluation using 100 episodes
Mean ratio 0.01000, mean length0.01000
When I downloaded the pre-trained model and data set and evaluated it using the code below, the average ratio was just 0.01
python evaluation.py --evaluate --load-model --model-path models/setting2_discrete.pt --load-dataset --dataset-path datasets/setting123_discrete.pt
Evaluation using 100 episodes Mean ratio 0.01000, mean length0.01000
I have the same problem. Have you resolved it?
When I downloaded the pre-trained model and data set and evaluated it using the code below, the average ratio was just 0.01
python evaluation.py --evaluate --load-model --model-path models/setting2_discrete.pt --load-dataset --dataset-path datasets/setting123_discrete.pt
Evaluation using 100 episodes Mean ratio 0.01000, mean length0.01000
I have the same problem. Have you resolved it?
Change container_size=[1,1,1] to container_size=[10,10,10] in the file givenData. py
When I downloaded the pre-trained model and data set and evaluated it using the code below, the average ratio was just 0.01
python evaluation.py --evaluate --load-model --model-path models/setting2_discrete.pt --load-dataset --dataset-path datasets/setting123_discrete.pt
Evaluation using 100 episodes Mean ratio 0.01000, mean length0.01000
I have the same problem. Have you resolved it?
Change container_size=[1,1,1] to container_size=[10,10,10] in the file givenData. py
It works. Thank you very much!