From cf213defa3eb94baa656868abd03ffb78860d662 Mon Sep 17 00:00:00 2001
From: "xiangyu.xie" <xiangyu.xie@psi.ch>
Date: Wed, 10 Jun 2026 11:23:15 +0200
Subject: [PATCH] Bug fixed: model.eval() is back

---
 Infer_3Photon.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Infer_3Photon.py b/Infer_3Photon.py
index 3c85066..69b9aad 100644
--- a/Infer_3Photon.py
+++ b/Infer_3Photon.py
@@ -153,7 +153,7 @@ if __name__ == "__main__":
     model_version = conf.model.experiment_name.split('_v')[-1][:6]
     model = get_triple_photon_model_class(model_version)().cuda()
     model.load_state_dict(torch.load(f'{conf.model.base_dir}/{conf.model.experiment_name}/Models/{conf.model.name}', weights_only=True))
-    # model.eval()
+    model.eval()
 
     ### data loading
     files_list = get_files_list(conf)
@@ -161,7 +161,7 @@ if __name__ == "__main__":
     BinningFactor = conf.inference.binning_factor
     numberOfAugOps = conf.inference.num_aug_ops
     flag_normalize = conf.data.normalize
-    nChunks = np.ceil(len(files_list) / 16).astype(int)
+    nChunks = np.ceil(len(files_list) / conf.inference.chunk_size).astype(int)
 
     ml_super_frame = np.zeros((NY*BinningFactor, NX*BinningFactor), dtype=np.int32)
     count_frame = np.zeros((NY, NX), dtype=np.int32)