[Relay][Frontend] add log op in tf frontend (#3111)

* [Relay][Frontend] add log op in tf frontend

* address comment

python/tvm/relay/frontend/tensorflow.py

@@ -1094,6 +1094,7 @@ _convert_map = {
     'ArgMin'                            : _argx(_op.argmin, 'argmin'),
     'AvgPool'                           : _pooling('avg_pool'),
     'BatchNormWithGlobalNormalization'  : _batch_norm(),
+    'BatchToSpaceND'                    : _batch_to_space_nd(),
     'BiasAdd'                           : _bias_add(),
     'Cast'                              : _cast(),
     'Ceil'                              : AttrCvt('ceil'),
@@ -1119,6 +1120,7 @@ _convert_map = {
     'LeakyRelu'                         : AttrCvt('leaky_relu'),
     'Less'                              : _broadcast('less'),
     'LessEqual'                         : _broadcast('less_equal'),
+    'Log'                               : AttrCvt('log'),
     'LogicalAnd'                        : _logical('logical_and'),
     'LogicalOr'                         : _logical('logical_or'),
     'LogicalNot'                        : _logical('logical_not'),
@@ -1151,6 +1153,7 @@ _convert_map = {
     'Sign'                              : AttrCvt('sign'),
     'Slice'                             : _slice(),
     'Softmax'                           : _softmax(),
+    'SpaceToBatchND'                    : _space_to_batch_nd(),
     'Split'                             : _split(False),
     'SplitV'                            : _split(True),
     'Square'                            : _square(),
@@ -1162,8 +1165,7 @@ _convert_map = {
     'Tile'                              : _tile(),
     'Transpose'                         : _transpose(),
     'Unpack'                            : _unpack(),
-    'SpaceToBatchND'                    : _space_to_batch_nd(),
-    'BatchToSpaceND'                    : _batch_to_space_nd(),
+
 }
 
 def _LSTMBlockCell():

tests/python/frontend/tensorflow/test_forward.py

@@ -1440,6 +1440,23 @@ def test_forward_pow_exp():
     compare_tf_with_tvm([np_in1, np_in2], ['in1:0', 'in2:0'], 'pow:0')
     compare_tf_with_tvm([np_in1], ['in1:0'], 'exp:0')
 
+def test_forward_log():
+    """test Log """
+    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.log(in_data, name="log")
+    compare_tf_with_tvm([np_data], ['in_data:0'], 'log:0')
+
+def test_forward_rsqrt():
+    """test Rsqrt """
+    np_data = np.random.uniform(1, 100, size=(5, 7, 11)).astype(np.float32)
+    tf.reset_default_graph()
+    in_data = tf.placeholder(tf.float32, (5, 7, 11), name="in_data")
+    tf.rsqrt(in_data, name="rsqrt")
+    print(tf.get_default_graph().as_graph_def())
+    compare_tf_with_tvm([np_data], ['in_data:0'], 'rsqrt:0')
+
 #######################################################################
 # Mean
 # ----
@@ -1525,6 +1542,8 @@ if __name__ == '__main__':
     test_forward_reverse_v2()
     test_forward_pow_exp()
     test_forward_sign()
+    test_forward_log()
+    test_forward_rsqrt()
     test_forward_expand_dims()
 
     # Reductions