From a86c0e01555727bd848275c7eabc5b9dc26da73d Mon Sep 17 00:00:00 2001
From: Suraj Pai <bspai@bwh.harvard.edu>
Date: Thu, 10 Aug 2023 17:22:49 -0400
Subject: [PATCH] Remove hard coding of `bias_downsample` in `resnet` methods
 (#6848)

Fixes #6811 .

### Description
Remove hard coding of `bias_downsample` in `resnet` methods. This allows
for loading `MedicalNet` models.

### Types of changes
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [x] Non-breaking change (fix or new feature that would not break
existing functionality).
- [ ] Breaking change (fix or new feature that would cause existing
functionality to change).
- [ ] New tests added to cover the changes.
- [ ] Integration tests passed locally by running `./runtests.sh -f -u
--net --coverage`.
- [ ] Quick tests passed locally by running `./runtests.sh --quick
--unittests --disttests`.
- [ ] In-line docstrings updated.
- [ ] Documentation updated, tested `make html` command in the `docs/`
folder.

Signed-off-by: Suraj Pai <bspai@bwh.harvard.edu>
---
 monai/networks/nets/resnet.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/monai/networks/nets/resnet.py b/monai/networks/nets/resnet.py
index 02869d415f..e742db5ca5 100644
--- a/monai/networks/nets/resnet.py
+++ b/monai/networks/nets/resnet.py
@@ -333,7 +333,7 @@ def _resnet(
     progress: bool,
     **kwargs: Any,
 ) -> ResNet:
-    model: ResNet = ResNet(block, layers, block_inplanes, bias_downsample=not pretrained, **kwargs)
+    model: ResNet = ResNet(block, layers, block_inplanes, **kwargs)
     if pretrained:
         # Author of paper zipped the state_dict on googledrive,
         # so would need to download, unzip and read (2.8gb file for a ~150mb state dict).
@@ -341,6 +341,8 @@ def _resnet(
         raise NotImplementedError(
             "Currently not implemented. You need to manually download weights provided by the paper's author"
             " and load then to the model with `state_dict`. See https://github.com/Tencent/MedicalNet"
+            "Please ensure you pass the appropriate `shortcut_type` and `bias_downsample` args. as specified"
+            "here: https://github.com/Tencent/MedicalNet/tree/18c8bb6cd564eb1b964bffef1f4c2283f1ae6e7b#update20190730"
         )
     return model