diff --git a/python/mxnet/onnx/mx2onnx/_op_translations/_op_translations_opset12.py b/python/mxnet/onnx/mx2onnx/_op_translations/_op_translations_opset12.py
index e577a3abb3f2..613565071e1a 100644
--- a/python/mxnet/onnx/mx2onnx/_op_translations/_op_translations_opset12.py
+++ b/python/mxnet/onnx/mx2onnx/_op_translations/_op_translations_opset12.py
@@ -661,22 +661,23 @@ def transpose_last_two_dim(name, kwargs):
     from onnx.helper import make_node
     create_tensor([0], name+'_0', kwargs['initializer'])
     create_tensor([1], name+'_1', kwargs['initializer'])
-    create_tensor([10], name+'_10', kwargs['initializer'])
-    perm = [i for i in range(10)]
-    perm[8], perm[9] = 9, 8
+    create_tensor([8], name+'_8', kwargs['initializer'])
+    perm = [i for i in range(8)]
+    perm[6], perm[7] = 7, 6
     nodes = [
         make_node('Shape', [name], [name+'_shape']),
         make_node('Shape', [name+'_shape'], [name+'_dim']),
-        make_node('Sub', [name+'_10', name+'_dim'], [name+'_sub']),
+        make_node('Sub', [name+'_8', name+'_dim'], [name+'_sub']),
         make_node('Concat', [name+'_sub', name+'_0'], [name+'_concat'], axis=0),
-        make_node('Pad', [name+'_shape', name+'_concat', name+'_1'], [name+'_shape_10_dim']),
-        make_node('Reshape', [name, name+'_shape_10_dim'], [name+'_data_10_dim']),
-        make_node('Transpose', [name+'_data_10_dim'], [name+'_data_t'], perm=perm),
+        make_node('Pad', [name+'_shape', name+'_concat', name+'_1'], [name+'_shape_8_dim']),
+        make_node('Reshape', [name, name+'_shape_8_dim'], [name+'_data_8_dim']),
+        make_node('Transpose', [name+'_data_8_dim'], [name+'_data_t'], perm=perm),
         make_node('Shape', [name+'_data_t'], [name+'_new_shape_']),
-        make_node('Slice', [name+'_new_shape_', name+'_sub', name+'_10', name+'_0'],
+        make_node('Slice', [name+'_new_shape_', name+'_sub', name+'_8', name+'_0'],
                   [name+'_new_shape']),
         make_node('Reshape', [name+'_data_t', name+'_new_shape'], [name+'_transposed']),
     ]
+
     return nodes
 
 
@@ -3383,11 +3384,11 @@ def convert_reverse(node, **kwargs):
 
     axis = int(attrs.get('axis', 0))
 
-    # Transpose takes perm as a parameter, so we must 'pad' the input to a known dim (10 here)
-    perm = [i for i in range(10)]
+    # Transpose takes perm as a parameter, so we must 'pad' the input to a known dim (8 here)
+    perm = [i for i in range(8)]
     perm[0], perm[axis] = axis, 0
 
-    create_tensor([10], name+'_10', kwargs['initializer'])
+    create_tensor([8], name+'_8', kwargs['initializer'])
     create_tensor([0], name+'_0', kwargs['initializer'])
     create_tensor([1], name+'_1', kwargs['initializer'])
     create_tensor([-1], name+'_m1', kwargs['initializer'])
@@ -3398,11 +3399,11 @@ def convert_reverse(node, **kwargs):
     nodes = [
         make_node('Shape', [input_nodes[0]], [name+'_shape']),
         make_node('Shape', [name+'_shape'], [name+'_dim']),
-        make_node('Sub', [name+'_10', name+'_dim'], [name+'_sub']),
+        make_node('Sub', [name+'_8', name+'_dim'], [name+'_sub']),
         make_node('Concat', [name+'_0', name+'_sub'], [name+'_concat'], axis=0),
-        make_node('Pad', [name+'_shape', name+'_concat', name+'_1'], [name+'_shape_10_dim']),
-        make_node('Reshape', [input_nodes[0], name+'_shape_10_dim'], [name+'_data_10_dim']),
-        make_node('Transpose', [name+'_data_10_dim'], [name+'_data_t'], perm=perm),
+        make_node('Pad', [name+'_shape', name+'_concat', name+'_1'], [name+'_shape_8_dim']),
+        make_node('Reshape', [input_nodes[0], name+'_shape_8_dim'], [name+'_data_8_dim']),
+        make_node('Transpose', [name+'_data_8_dim'], [name+'_data_t'], perm=perm),
         make_node('Slice', [name+'_shape', name+'_axis', name+'_axis_p1'], [name+'_axis_len']),
         make_node('Sub', [name+'_axis_len', name+'_1'], [name+'_axis_len_m1']),
         make_node('Squeeze', [name+'_axis_len_m1'], [name+'_axis_len_m1_s'], axes=[0]),
@@ -3988,21 +3989,21 @@ def convert_gather_nd(node, **kwargs):
     indices = input_nodes[1]
 
     # Onnx Transpose operator takes perm as a parameter, so we need to 'pad'
-    # the input to a known dim (10 here)
-    perm = [9] + [i for i in range(1, 9)] + [0]
+    # the input to a known dim (8 here)
+    perm = [7] + [i for i in range(1, 7)] + [0]
 
     create_tensor([0], name+'_0', kwargs['initializer'])
     create_tensor([1], name+'_1', kwargs['initializer'])
-    create_tensor([10], name+'_10', kwargs['initializer'])
+    create_tensor([8], name+'_8', kwargs['initializer'])
     nodes = [
-        # Generate 10-d filter
+        # Generate 8-d filter
         make_node('Shape', [indices], [name+'_indices_shape']),
         make_node('Shape', [name+'_indices_shape'], [name+'_indices_dim']),
-        make_node('Sub', [name+'_10', name+'_indices_dim'], [name+'_sub0_out']),
+        make_node('Sub', [name+'_8', name+'_indices_dim'], [name+'_sub0_out']),
         make_node('Concat', [name+'_0', name+'_sub0_out'], [name+'_concat0_out'], axis=0),
-        make_node('Pad', [name+'_indices_shape', name+'_concat0_out', name+'_1'], [name+'_shape_10_dim']),
-        make_node('Reshape', [indices, name+'_shape_10_dim'], [name+'_indices_10_dim']),
-        make_node('Transpose', [name+'_indices_10_dim'], [name+'_transpose0_output'], perm=perm),
+        make_node('Pad', [name+'_indices_shape', name+'_concat0_out', name+'_1'], [name+'_shape_8_dim']),
+        make_node('Reshape', [indices, name+'_shape_8_dim'], [name+'_indices_8_dim']),
+        make_node('Transpose', [name+'_indices_8_dim'], [name+'_transpose0_output'], perm=perm),
         # Reshape filter to acutall dim for GatherND computation
         make_node('Slice', [name+'_indices_shape', name+'_0', name+'_1'],
                   [name+'_slice0_out']),
@@ -4063,7 +4064,7 @@ def convert_swapaxis(node, **kwargs):
 
     indices = [[dim1], [dim2]]
     vals = [dim2, dim1]
-    perm = [i for i in range(10)]
+    perm = [i for i in range(8)]
     perm[dim1], perm[dim2] = dim2, dim1
 
     create_tensor(indices, name+'_ind', kwargs['initializer'])
@@ -4072,12 +4073,12 @@ def convert_swapaxis(node, **kwargs):
     create_tensor(perm, name+'_perm', kwargs['initializer'])
     create_tensor([0], name+'_0', kwargs['initializer'])
     create_tensor([1], name+'_1', kwargs['initializer'])
-    create_tensor([10], name+'_10', kwargs['initializer'])
+    create_tensor([8], name+'_8', kwargs['initializer'])
 
     nodes = [
         make_node('Shape', [input_nodes[0]], [name+'_shape']),
         make_node('Shape', [name+'_shape'], [name+'_dim']),
-        make_node('Sub', [name+'_10', name+'_dim'], [name+'_sub']),
+        make_node('Sub', [name+'_8', name+'_dim'], [name+'_sub']),
         make_node('ScatterND', [name+'_perm', name+'_ind', name+'_vals'],
                   [name+'_perm_new']),
         make_node('GatherND', [name+'_shape', name+'_ind'], [name+'_gather']),
diff --git a/python/mxnet/onnx/mx2onnx/_op_translations/_op_translations_opset13.py b/python/mxnet/onnx/mx2onnx/_op_translations/_op_translations_opset13.py
index 92407d4e174b..59f8e4dacd74 100644
--- a/python/mxnet/onnx/mx2onnx/_op_translations/_op_translations_opset13.py
+++ b/python/mxnet/onnx/mx2onnx/_op_translations/_op_translations_opset13.py
@@ -706,11 +706,11 @@ def convert_reverse(node, **kwargs):
 
     axis = int(attrs.get('axis', 0))
 
-    # Transpose takes perm as a parameter, so we must 'pad' the input to a known dim (10 here)
-    perm = [i for i in range(10)]
+    # Transpose takes perm as a parameter, so we must 'pad' the input to a known dim (8 here)
+    perm = [i for i in range(8)]
     perm[0], perm[axis] = axis, 0
 
-    create_tensor([10], name+'_10', kwargs['initializer'])
+    create_tensor([8], name+'_8', kwargs['initializer'])
     create_tensor([0], name+'_0', kwargs['initializer'])
     create_tensor([1], name+'_1', kwargs['initializer'])
     create_tensor([-1], name+'_m1', kwargs['initializer'])
@@ -721,11 +721,11 @@ def convert_reverse(node, **kwargs):
     nodes = [
         make_node('Shape', [input_nodes[0]], [name+'_shape']),
         make_node('Shape', [name+'_shape'], [name+'_dim']),
-        make_node('Sub', [name+'_10', name+'_dim'], [name+'_sub']),
+        make_node('Sub', [name+'_8', name+'_dim'], [name+'_sub']),
         make_node('Concat', [name+'_0', name+'_sub'], [name+'_concat'], axis=0),
-        make_node('Pad', [name+'_shape', name+'_concat', name+'_1'], [name+'_shape_10_dim']),
-        make_node('Reshape', [input_nodes[0], name+'_shape_10_dim'], [name+'_data_10_dim']),
-        make_node('Transpose', [name+'_data_10_dim'], [name+'_data_t'], perm=perm),
+        make_node('Pad', [name+'_shape', name+'_concat', name+'_1'], [name+'_shape_8_dim']),
+        make_node('Reshape', [input_nodes[0], name+'_shape_8_dim'], [name+'_data_8_dim']),
+        make_node('Transpose', [name+'_data_8_dim'], [name+'_data_t'], perm=perm),
         make_node('Slice', [name+'_shape', name+'_axis', name+'_axis_p1'], [name+'_axis_len']),
         make_node('Sub', [name+'_axis_len', name+'_1'], [name+'_axis_len_m1']),
         make_node('Squeeze', [name+'_axis_len_m1', name+'_0'], [name+'_axis_len_m1_s']),