add non-deterministic note

README.md

@@ -63,6 +63,9 @@ Three channels
 ## Performance
 Dice score is used for evaluating the performance of the model. This model achieves a mean dice score of 0.62.
 
+Please note that this bundle is non-deterministic because of the trilinear interpolation used in the network. Therefore, reproducing the training process may not get exactly the same performance.
+Please refer to https://pytorch.org/docs/stable/notes/randomness.html#reproducibility for more details about reproducibility.
+
 #### Training Loss
 The loss over 3200 epochs (the bright curve is smoothed, and the dark one is the actual curve)
 
@@ -119,7 +122,7 @@ python -m monai.bundle run --config_file "['configs/train.yaml','configs/evaluat
 python -m monai.bundle run --config_file configs/inference.yaml
 ```
 
-#### Export checkpoint for TorchScript
+#### Export checkpoint for TorchScript:
 
 ```
 python -m monai.bundle ckpt_export network_def --filepath models/model.ts --ckpt_file models/model.pt --meta_file configs/metadata.json --config_file configs/inference.yaml

configs/metadata.json

@@ -1,7 +1,8 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
-    "version": "0.3.7",
+    "version": "0.3.8",
     "changelog": {
+        "0.3.8": "add non-deterministic note",
         "0.3.7": "re-train model with updated dints implementation",
         "0.3.6": "black autofix format and add name tag",
         "0.3.5": "restructure readme to match updated template",

docs/README.md

@@ -56,6 +56,9 @@ Three channels
 ## Performance
 Dice score is used for evaluating the performance of the model. This model achieves a mean dice score of 0.62.
 
+Please note that this bundle is non-deterministic because of the trilinear interpolation used in the network. Therefore, reproducing the training process may not get exactly the same performance.
+Please refer to https://pytorch.org/docs/stable/notes/randomness.html#reproducibility for more details about reproducibility.
+
 #### Training Loss
 The loss over 3200 epochs (the bright curve is smoothed, and the dark one is the actual curve)
 
@@ -112,7 +115,7 @@ python -m monai.bundle run --config_file "['configs/train.yaml','configs/evaluat
 python -m monai.bundle run --config_file configs/inference.yaml
 ```
 
-#### Export checkpoint for TorchScript
+#### Export checkpoint for TorchScript:
 
 ```
 python -m monai.bundle ckpt_export network_def --filepath models/model.ts --ckpt_file models/model.pt --meta_file configs/metadata.json --config_file configs/inference.yaml