[Relay][TF] Support for Atan/Atan2 in Relay Tensorflow frontend converter. (#5104)

* add Atan/Atan2 op

* fix bug and testing

python/tvm/relay/frontend/tensorflow.py

@@ -1535,6 +1535,11 @@ def _batch_to_space_nd():
 
     return _impl
 
+def _atan2():
+    def _impl(inputs, attr, params):
+        divide = _elemwise("divide")(inputs, attr, params)
+        return get_relay_op("atan")(divide)
+    return _impl
 
 def _prod():
     def _impl(inputs, attr, params):
@@ -1615,6 +1620,8 @@ _convert_map = {
     'ArgMax'                            : _argx(_op.argmax, 'argmax'),
     'ArgMin'                            : _argx(_op.argmin, 'argmin'),
     'Assert'                            : _assert(),
+    'Atan'                              : AttrCvt('atan'),
+    'Atan2'                             : _atan2(),
     'AvgPool'                           : _pooling('avg_pool'),
     'AvgPool3D'                         : _pool3d('avg_pool3d'),
     'BatchMatMul'                       : _batch_matmul(),

tests/python/frontend/tensorflow/test_forward.py

@@ -2669,6 +2669,26 @@ def test_forward_tan():
     tf.tan(in_data, name="tan")
     compare_tf_with_tvm([np_data], ['in_data:0'], 'tan:0')
 
+def test_forward_atan():
+    """test operator tan """
+    tf.disable_eager_execution()
+    np_data = np.random.uniform(1, 100, size=(2, 3, 5)).astype(np.float32)
+    tf.reset_default_graph()
+    in_data = tf.placeholder(tf.float32, (2, 3, 5), name="in_data")
+    tf.atan(in_data, name="atan")
+    compare_tf_with_tvm([np_data], ['in_data:0'], 'atan:0')
+
+def test_forward_atan2():
+    """test operator tan """
+    tf.disable_eager_execution()
+    np_data_1 = np.random.uniform(1, 100, size=(2, 3, 5)).astype(np.float32)
+    np_data_2 = np.random.uniform(1, 100, size=(2, 3, 5)).astype(np.float32)
+    tf.reset_default_graph()
+    in_data_1 = tf.placeholder(tf.float32, (2, 3, 5), name="in_data_1")
+    in_data_2 = tf.placeholder(tf.float32, (2, 3, 5), name="in_data_2")
+    tf.atan2(in_data_1, in_data_2, name="atan2")
+    compare_tf_with_tvm([np_data_1, np_data_2], ['in_data_1:0', 'in_data_2:0'], 'atan2:0')
+
 
 def test_forward_sin():
     """test operator sin """
@@ -3116,6 +3136,8 @@ if __name__ == '__main__':
     test_forward_left_shift()
     test_forward_truncatemod()
     test_forward_one_hot()
+    test_forward_atan()
+    test_forward_atan2()
 
     # Activations
     test_forward_sigmoid()