diff --git a/python/mxnet/symbol/symbol.py b/python/mxnet/symbol/symbol.py
index deedf0fe83d2..1e2defab3713 100644
--- a/python/mxnet/symbol/symbol.py
+++ b/python/mxnet/symbol/symbol.py
@@ -2539,7 +2539,7 @@ def softmin(self, *args, **kwargs):
         """
         return op.softmin(self, *args, **kwargs)
 
-    def squeeze(self, axis, inplace=False, **kwargs): # pylint: disable=unused-argument
+    def squeeze(self, axis=None, inplace=False, **kwargs): # pylint: disable=unused-argument
         """Convenience fluent method for :py:func:`squeeze`.
 
         The arguments are the same as for :py:func:`squeeze`, with
diff --git a/tests/python/unittest/test_gluon.py b/tests/python/unittest/test_gluon.py
index b59ce2d0864c..af30980b10ea 100644
--- a/tests/python/unittest/test_gluon.py
+++ b/tests/python/unittest/test_gluon.py
@@ -115,7 +115,7 @@ def test_parameter_dict():
     params1.get('w1', shape=(10, 10), stype='row_sparse')
     params1.load('test_parameter_dict.params', ctx)
     trainer1 = mx.gluon.Trainer(params1, 'sgd')
-    
+
     # compare the values before and after save/load
     cur_w0 = params1.get('w0').data(ctx)
     cur_w1 = params1.get('w1').row_sparse_data(all_row_ids)
@@ -134,7 +134,7 @@ def test_parameter_dict():
     cur_w1 = params2.get('w1').data(ctx)
     mx.test_utils.assert_almost_equal(prev_w0.asnumpy(), cur_w0.asnumpy())
     mx.test_utils.assert_almost_equal(prev_w1.asnumpy(), cur_w1.asnumpy())
-    
+
     # test the dtype casting functionality
     params0 = gluon.ParameterDict('')
     params0.get('w0', shape=(10, 10), dtype='float32')
@@ -386,7 +386,7 @@ def hybrid_forward(self, F, x):
         if 'conv' in param_name and 'weight' in param_name:
             break
     assert np.dtype(net_fp64.params[param_name].dtype) == np.dtype(np.float64)
-    
+
     # 3.b Verify same functionnality with the imports API
     net_fp_64 = mx.gluon.SymbolBlock.imports(sym_file, 'data', params_file, ctx=ctx)
 
@@ -2788,7 +2788,7 @@ def test_gluon_param_load():
     net.cast('float16')
     net.load_parameters('test_gluon_param_load.params', cast_dtype=True)
     mx.nd.waitall()
-    
+
 @with_seed()
 def test_gluon_param_load_dtype_source():
     net = mx.gluon.nn.Dense(10, in_units=10)
@@ -2800,6 +2800,22 @@ def test_gluon_param_load_dtype_source():
     assert net.weight.dtype == np.float16
     mx.nd.waitall()
 
+@with_seed()
+def test_squeeze_consistency():
+    class Foo(gluon.HybridBlock):
+        def __init__(self, inplace, **kwargs):
+            super(Foo, self).__init__(**kwargs)
+            self.inplace = inplace
+
+        def forward(self, x):
+            return x.squeeze(inplace=self.inplace)
+
+    for inplace in (True, False):
+        block = Foo(inplace)
+        block.hybridize()
+        shape = (np.random.randint(1, 10), np.random.randint(1, 10), 1)
+        block(mx.nd.ones(shape))
+
 if __name__ == '__main__':
     import nose
     nose.runmodule()
diff --git a/tests/python/unittest/test_symbol.py b/tests/python/unittest/test_symbol.py
index 2dfe3e44eedb..0c97c68b0880 100644
--- a/tests/python/unittest/test_symbol.py
+++ b/tests/python/unittest/test_symbol.py
@@ -242,6 +242,7 @@ def check_fluent_regular(func, kwargs, shape=(5, 17, 1), equal_nan=False):
     check_fluent_regular('reshape', {'shape': (17, 1, 5)})
     check_fluent_regular('broadcast_to', {'shape': (5, 17, 47)})
     check_fluent_regular('squeeze', {'axis': (1, 3)}, shape=(2, 1, 3, 1, 4))
+    check_fluent_regular('squeeze', {}, shape=(2, 1, 3, 1, 4))
 
 def check_symbol_consistency(sym1, sym2, ctx, skip_grad=False, equal_nan=False):
     assert sym1.list_arguments() == sym2.list_arguments()