diff --git a/deel/torchlip/init.py b/deel/torchlip/init.py
index d4285b0..688ccb2 100644
--- a/deel/torchlip/init.py
+++ b/deel/torchlip/init.py
@@ -26,6 +26,7 @@
 # =====================================================================================
 """
 """
+import warnings
 import torch
 
 from .normalizers import bjorck_normalization
@@ -57,6 +58,7 @@ def spectral_(
         eps_spectral (float): stopping criterion of iterative power method
         maxiter_spectral (int): maximum number of iterations for the power iteration
     """
+    warnings.warn("spectral_ initialization is deprecated, use torch.nn.init.orthogonal_ instead")
     with torch.no_grad():
         tensor.copy_(
             spectral_normalization(
@@ -91,6 +93,7 @@ def bjorck_(
         maxiter_bjorck (int): maximum number of iterations for bjorck algorithm
         beta: Value to use for the :math:`\beta` parameter.
     """
+    warnings.warn("bjorck_ initialization is deprecated, use torch.nn.init.orthogonal_ instead")
     with torch.no_grad():
         spectral_tensor = spectral_normalization(
             tensor, None, eps=eps_spectral, maxiter=maxiter_spectral
diff --git a/tests/utils_framework.py b/tests/utils_framework.py
index a070176..e8aaa46 100644
--- a/tests/utils_framework.py
+++ b/tests/utils_framework.py
@@ -174,6 +174,7 @@ def __call__(self, **kwargs):
 Model = module_Unavailable_class
 compute_layer_sv = module_Unavailable_class
 OrthLinearRegularizer = module_Unavailable_class
+SpectralInitializer = module_Unavailable_class
 
 MODEL_PATH = "model.h5"
 LIP_LAYERS = "torchlip_layers"
@@ -591,13 +592,6 @@ def scaleDivAlpha(alpha):
     return 1.0 / (1 + 1.0 / alpha)
 
 
-def SpectralInitializer(eps_spectral, eps_bjorck):
-    if eps_bjorck is None:
-        return partial(spectral_, eps_spectral=eps_spectral)
-    else:
-        return partial(bjorck_, eps_spectral=eps_spectral, eps_bjorck=eps_bjorck)
-
-
 class tAdd(torch.nn.Module):
     def __init__(self):
         super(tAdd, self).__init__()