5770 add remove prefix to monai.bundle.load (#5771)

Signed-off-by: Yiheng Wang <vennw@nvidia.com>

Fixes #5770 .

### Description

This PR enables the `remove_prefix` arg in `monai.bundle.load`

### 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: Yiheng Wang <vennw@nvidia.com>

monai/bundle/scripts.py

@@ -326,6 +326,7 @@ def load(
     bundle_dir: Optional[PathLike] = None,
     source: str = download_source,
     repo: Optional[str] = None,
+    remove_prefix: Optional[str] = "monai_",
     progress: bool = True,
     device: Optional[str] = None,
     key_in_ckpt: Optional[str] = None,
@@ -356,6 +357,10 @@ def load(
             it should be "ngc" or "github".
         repo: repo name. This argument is used when `url` is `None` and `source` is "github".
             If used, it should be in the form of "repo_owner/repo_name/release_tag".
+        remove_prefix: This argument is used when `source` is "ngc". Currently, all ngc bundles
+            have the ``monai_`` prefix, which is not existing in their model zoo contrasts. In order to
+            maintain the consistency between these two sources, remove prefix is necessary.
+            Therefore, if specified, downloaded folder name will remove the prefix.
         progress: whether to display a progress bar when downloading.
         device: target device of returned weights or module, if `None`, prefer to "cuda" if existing.
         key_in_ckpt: for nested checkpoint like `{"model": XXX, "optimizer": XXX, ...}`, specify the key of model
@@ -379,9 +384,21 @@ def load(
 
     if model_file is None:
         model_file = os.path.join("models", "model.ts" if load_ts_module is True else "model.pt")
+    if source == "ngc":
+        name = _add_ngc_prefix(name)
+        if remove_prefix:
+            name = _remove_ngc_prefix(name, prefix=remove_prefix)
     full_path = os.path.join(bundle_dir_, name, model_file)
     if not os.path.exists(full_path):
-        download(name=name, version=version, bundle_dir=bundle_dir_, source=source, repo=repo, progress=progress)
+        download(
+            name=name,
+            version=version,
+            bundle_dir=bundle_dir_,
+            source=source,
+            repo=repo,
+            remove_prefix=remove_prefix,
+            progress=progress,
+        )
 
     if device is None:
         device = "cuda:0" if is_available() else "cpu"

tests/ngc_bundle_download.py

@@ -19,10 +19,10 @@
 
 from monai.apps import check_hash
 from monai.apps.mmars import MODEL_DESC, load_from_mmar
-from monai.bundle import download
+from monai.bundle import download, load
 from monai.config import print_debug_info
 from monai.networks.utils import copy_model_state
-from tests.utils import skip_if_downloading_fails, skip_if_quick, skip_if_windows
+from tests.utils import assert_allclose, skip_if_downloading_fails, skip_if_quick, skip_if_windows
 
 TEST_CASE_NGC_1 = [
     "spleen_ct_segmentation",
@@ -41,6 +41,30 @@
     "b418a2dc8672ce2fd98dc255036e7a3d",
 ]
 
+TESTCASE_WEIGHTS = {
+    "key": "model.0.conv.unit0.adn.N.bias",
+    "value": torch.tensor(
+        [
+            -0.0705,
+            -0.0937,
+            -0.0422,
+            -0.2068,
+            0.1023,
+            -0.2007,
+            -0.0883,
+            0.0018,
+            -0.1719,
+            0.0116,
+            0.0285,
+            -0.0044,
+            0.1223,
+            -0.1287,
+            -0.1858,
+            0.0460,
+        ]
+    ),
+}
+
 
 @skip_if_windows
 class TestNgcBundleDownload(unittest.TestCase):
@@ -56,6 +80,13 @@ def test_ngc_download_bundle(self, bundle_name, version, remove_prefix, download
                 self.assertTrue(os.path.exists(full_file_path))
                 self.assertTrue(check_hash(filepath=full_file_path, val=hash_val))
 
+                weights = load(
+                    name=bundle_name, source="ngc", version=version, bundle_dir=tempdir, remove_prefix=remove_prefix
+                )
+                assert_allclose(
+                    weights[TESTCASE_WEIGHTS["key"]], TESTCASE_WEIGHTS["value"], atol=1e-4, rtol=1e-4, type_test=False
+                )
+
 
 @unittest.skip("deprecating mmar tests")
 class TestAllDownloadingMMAR(unittest.TestCase):