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# @package _global_
defaults:
- _self_
- data: anomaly_clip # choose datamodule with `test_dataloader()` for evaluation
- model: anomaly_clip
- callbacks: default
- logger: many_loggers
- trainer: default
- paths: default
- extras: default
- hydra: default
# information of object and prompt template
- prompt: default
task_name: "eval"
tags: ["dev"]
# seed for random number generators in pytorch, numpy and python.random
seed: 42
# passing checkpoint path is necessary for evaluation
# ckpt_path: /home/hzx/Projects/SPARC/logs/train/runs/2024-06-14_16-32-14/checkpoints/epoch_000.ckpt
# ckpt_path: /home/hzx/Projects/Weight/mvtech-kshot/learnable/0-shot/2024-05-27_13-08-55/checkpoints/epoch_000.ckpt
ckpt_path: /home/hzx/Projects/Weight/visa-kshot/learnable/0-shot/2024-05-27_11-07-16/checkpoints/epoch_000.ckpt
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