diff --git a/python/tvm/relay/frontend/tensorflow.py b/python/tvm/relay/frontend/tensorflow.py
index 35c857a3d77f..e44653ff1ba9 100644
--- a/python/tvm/relay/frontend/tensorflow.py
+++ b/python/tvm/relay/frontend/tensorflow.py
@@ -1039,8 +1039,8 @@ def _impl(inputs, attr, params):
         # otherwise its value is get from params
         try:
             axes = _get_list_param(params, inputs[1])
-        except (IndexError, KeyError):
-            axes = None
+        except (IndexError, KeyError, AttributeError):
+            axes = _infer_value_simulated(inputs[1], params).asnumpy()
         return _op.transpose(inputs[0], axes=axes)
     return _impl
 
diff --git a/tests/python/frontend/tensorflow/test_forward.py b/tests/python/frontend/tensorflow/test_forward.py
index 17db2f5cc9a8..e02532fa748b 100644
--- a/tests/python/frontend/tensorflow/test_forward.py
+++ b/tests/python/frontend/tensorflow/test_forward.py
@@ -2114,6 +2114,22 @@ def _test_forward_transpose(ishape, axes=None):
 
         compare_tf_with_tvm(data, 'transpose_data:0', 'transpose:0')
 
+def _test_forward_tranapose_axes_input(ishape, axes):
+    data = np.random.uniform(size=ishape).astype(np.float32)
+    axes_np = np.array(axes).astype(np.int32)
+
+    with tf.Graph().as_default():
+        in1 = tf.placeholder(
+            shape=data.shape, dtype=data.dtype, name="transpose_data")
+
+        const1 = tf.constant(axes_np, dtype=tf.int32)
+
+        # make axes an input to tf.transpose, but not an input to the graph,
+        # so it can be extracted with infer_value_simulated
+        axes = tf.reverse(const1, axis=[-1])
+        tf.transpose(in1, axes)
+
+        compare_tf_with_tvm([data], ['transpose_data:0'], 'transpose:0')
 
 def test_forward_transpose():
     _test_forward_transpose((2, 3, 4), (1, 2, 0))
@@ -2122,6 +2138,8 @@ def test_forward_transpose():
     _test_forward_transpose((2, 3, 4), (1, 2, 0))
     _test_forward_transpose((2, 3, 4), (0, 1, 2))
     _test_forward_transpose((2, 3, 4, 5), (3, 0, 1, 2))
+    _test_forward_tranapose_axes_input((2, 3, 4), (1, 2, 0))
+    _test_forward_tranapose_axes_input((2, 3, 4, 5), (3, 0, 1, 2))
 
 
 def test_forward_ceil():