diff --git a/src/neox/evaluation/dummy.py b/src/neox/evaluation/dummy.py
index d1e0011..ac2d069 100644
--- a/src/neox/evaluation/dummy.py
+++ b/src/neox/evaluation/dummy.py
@@ -9,7 +9,6 @@
 """
 
 import torch
-from labml.logger import inspect
 from torch import nn
 
 from neox.evaluation import run_eval_harness
@@ -29,4 +28,4 @@ def forward(self, x: torch.Tensor):
 
 
 if __name__ == '__main__':
-    inspect(run_eval_harness(DummyModel(50_432), 'dummy', ['lambada']), _expand=True, _n=-1)
+    print(run_eval_harness(DummyModel(50_432), 'dummy', ['lambada']))
diff --git a/src/neox/evaluation/half_precision.py b/src/neox/evaluation/half_precision.py
index add31c7..96e45c5 100644
--- a/src/neox/evaluation/half_precision.py
+++ b/src/neox/evaluation/half_precision.py
@@ -1,6 +1,5 @@
 import torch
 from labml import monit
-from labml.logger import inspect
 from torch import nn
 
 from neox.evaluation import run_eval_harness
@@ -12,4 +11,4 @@
     with monit.section('Sequential'):
         model = nn.Sequential(*layers).half().to(torch.device('cuda:0'))
 
-    inspect(run_eval_harness(model, 'half_precision', []), _expand=True, _n=-1)
+    print(run_eval_harness(model, 'half_precision', []))
diff --git a/src/neox/evaluation/pipeline_parallel.py b/src/neox/evaluation/pipeline_parallel.py
index 74fe7da..202573f 100644
--- a/src/neox/evaluation/pipeline_parallel.py
+++ b/src/neox/evaluation/pipeline_parallel.py
@@ -1,7 +1,6 @@
 import fairscale
 import torch
 from labml import monit
-from labml.logger import inspect
 from torch import nn
 
 from neox.evaluation import run_eval_harness
@@ -25,4 +24,4 @@
                                        devices=devices,
                                        chunks=4)
 
-    inspect(run_eval_harness(model, 'pipeline_parallel', []), _expand=True, _n=-1)
+    print(run_eval_harness(model, 'pipeline_parallel', []))