[TensorFlow] Fix a bug output index is ignored (#3631)

Enhance test to cover this case

python/tvm/relay/frontend/tensorflow.py

@@ -2031,15 +2031,6 @@ class GraphProto(object):
                 # Pass the target layout
                 attr["_target_layout"] = layout
 
-                #ToDo: Some of the tensorflow operators internaly maintain
-                #execution layers and its output name will the layer number along with
-                #graph node name.eg: Node name:- 'Model/RNN/cell_0/RnnCell', but the
-                #output name will be 'Model/RNN/cell_0/RnnCell:0'. In this case,
-                #the digit has to be ignored.
-                if ":" in node.input[0]:
-                    in_name, _ = node.input[0].split(':')
-                    node.input[0] = in_name
-
                 # Fill shapes for all inputs in a list
                 inputs = []
                 for i in node.input:

tests/python/frontend/tensorflow/test_forward.py

@@ -836,9 +836,10 @@ def _test_split(in_shape, axis, num_or_size_splits, dtype):
     in_data = tf.placeholder(dtype, in_shape, name="in_data")
     num_split = len(num_or_size_splits) if isinstance(num_or_size_splits, list)\
                 else num_or_size_splits
-    tf.split(in_data, num_or_size_splits, axis=axis)
+    split = tf.split(in_data, num_or_size_splits, axis=axis)
+    relu = [tf.nn.relu(i) for i in split]
 
-    compare_tf_with_tvm([np_data], ['in_data:0'], [f'split:{n}' for n in range(num_split)])
+    compare_tf_with_tvm([np_data], ['in_data:0'], [n.name for n in relu])
 
     # and now test together with concat
     tf.reset_default_graph()