diff --git a/onnx2keras/utils.py b/onnx2keras/utils.py
index 9b967913..bc4dca2b 100644
--- a/onnx2keras/utils.py
+++ b/onnx2keras/utils.py
@@ -65,7 +65,6 @@ def check_torch_keras_error(model, k_model, input_np, epsilon=1e-5, change_order
     if isinstance(input_np, np.ndarray):
         input_np = [input_np.astype(np.float32)]
 
-    l__ = input_np[0].copy()
 
     input_var = [Variable(torch.FloatTensor(i)) for i in input_np]
     pytorch_output = model(*input_var)
diff --git a/test/layers/convolutions/test_conv2d.py b/test/layers/convolutions/test_conv2d.py
index f5a8f834..19b463fc 100644
--- a/test/layers/convolutions/test_conv2d.py
+++ b/test/layers/convolutions/test_conv2d.py
@@ -53,13 +53,3 @@ def test_conv2d_case1(change_ordering, kernel_size, padding, stride, bias, dilat
 @pytest.mark.parametrize('groups', [1, 2, 3])
 def test_conv2d_case2(change_ordering, kernel_size, padding, stride, bias, dilation, groups):
     func(change_ordering, kernel_size, padding, stride, bias, dilation, groups)
-
-# @pytest.mark.parametrize('change_ordering', [False])
-# @pytest.mark.parametrize('kernel_size', [7])
-# @pytest.mark.parametrize('padding', [5])
-# @pytest.mark.parametrize('stride', [1])
-# @pytest.mark.parametrize('bias', [False])
-# @pytest.mark.parametrize('dilation', [2])
-# @pytest.mark.parametrize('groups', [2])
-# def test_conv2d_case2(change_ordering, kernel_size, padding, stride, bias, dilation, groups):
-#     func(change_ordering, kernel_size, padding, stride, bias, dilation, groups)
diff --git a/test/utils.py b/test/utils.py
index 285b1d3e..68c85ef2 100644
--- a/test/utils.py
+++ b/test/utils.py
@@ -1,10 +1,7 @@
 import io
-import numpy as np
 import torch
 import onnx
-import collections
 
-from typing import Union, Tuple
 from onnx2keras import onnx_to_keras, check_torch_keras_error