diff --git a/nnvm/python/nnvm/frontend/tensorflow.py b/nnvm/python/nnvm/frontend/tensorflow.py
index 71536517810d..ce047d27da07 100644
--- a/nnvm/python/nnvm/frontend/tensorflow.py
+++ b/nnvm/python/nnvm/frontend/tensorflow.py
@@ -513,6 +513,7 @@ def _impl(inputs, attr, params):
     'Relu6'                             : _relu6(),
     'DepthwiseConv2dNative'             : _depthwise_conv(),
     'Shape'                             : _shape(),
+    'Sigmoid'                           : AttrCvt('sigmoid'),
 }
 
 
diff --git a/nnvm/tests/python/frontend/tensorflow/test_forward.py b/nnvm/tests/python/frontend/tensorflow/test_forward.py
index 6dc8cfab2ab4..f3dbc3cdbe40 100644
--- a/nnvm/tests/python/frontend/tensorflow/test_forward.py
+++ b/nnvm/tests/python/frontend/tensorflow/test_forward.py
@@ -13,6 +13,7 @@
 from tensorflow.python.ops import nn_ops
 from tensorflow.python.ops import array_ops
 from tensorflow.python.ops import gen_array_ops
+from tensorflow.python.ops import math_ops
 from tensorflow.core.framework import graph_pb2
 
 import nnvm.testing.tf
@@ -329,6 +330,42 @@ def _test_forward_concat_v2():
 
     _test_concat_v2([t1, t2], 1)
 
+#######################################################################
+# Sigmoid
+# -------
+
+def _test_sigmoid(data):
+    """ One iteration of sigmoid """
+
+    with tf.Graph().as_default():
+        in_data = constant_op.constant(data, shape=data.shape, dtype=data.dtype)
+
+        # pylint: disable=unused-variable
+        sigmoid_out = math_ops.sigmoid(in_data)
+        # pylint: enable=unused-variable
+
+        with tf.Session() as sess:
+            graph_def = tf.graph_util.convert_variables_to_constants(
+                sess,
+                sess.graph.as_graph_def(add_shapes=True),
+                ['Sigmoid'],
+                )
+
+            tf_output = run_tf_graph(sess, data,
+                                     'Const:0', 'Sigmoid:0')
+            tvm_output = run_tvm_graph(graph_def,
+                                       data,
+                                       "Const", tf_output.shape, data.dtype)
+
+            np.testing.assert_allclose(tf_output, tvm_output, atol=1e-5, rtol=1e-5)
+
+            sess.close()
+
+def test_forward_sigmoid():
+    """ Sigmoid """
+
+    _test_sigmoid(np.random.uniform(size=(3, 4, 4, 3)).astype('float32'))
+
 #######################################################################
 # Multi Input to graph
 # --------------------
@@ -437,6 +474,7 @@ def test_forward_mobilenet():
     test_forward_pooling()
     test_forward_reshape()
     test_forward_squeeze()
+    test_forward_sigmoid()
     if tf.__version__ == '1.4.1':
         _test_forward_concat_v2()
     test_forward_multi_input()