diff --git a/torch2trt/converters/BatchNorm3d.py b/torch2trt/converters/BatchNorm3d.py
index cb620300..1ce3af63 100644
--- a/torch2trt/converters/BatchNorm3d.py
+++ b/torch2trt/converters/BatchNorm3d.py
@@ -21,3 +21,9 @@ def convert_BatchNorm3d(ctx):
     layer = ctx.network.add_scale(input_trt, trt.ScaleMode.CHANNEL, bias, scale, power)
 
     output._trt = layer.get_output(0)
+
+
+@add_module_test(torch.float32, torch.device('cuda'), [(1, 3, 16, 16, 16)])
+@add_module_test(torch.float32, torch.device('cuda'), [(2, 3, 16, 16, 16)], max_batch_size=2)
+def test_BatchNorm3d_basic():
+    return torch.nn.BatchNorm3d(3)
\ No newline at end of file
diff --git a/torch2trt/converters/__init__.py b/torch2trt/converters/__init__.py
index 25143f3e..409d0caf 100644
--- a/torch2trt/converters/__init__.py
+++ b/torch2trt/converters/__init__.py
@@ -7,6 +7,7 @@
 from .AdaptiveAvgPool2d import *
 from .BatchNorm1d import *
 from .BatchNorm2d import *
+from .BatchNorm3d import *
 from .clone import *
 from .conv_functional import *
 from .Conv import *