Give clear errors for bad input names.

PiperOrigin-RevId: 155857515

tensorflow/python/tools/strip_unused_lib.py

@@ -41,14 +41,26 @@ def strip_unused(input_graph_def, input_node_names, output_node_names,
         a list that specifies one value per input node name.
 
   Returns:
-    A GraphDef with all unnecessary ops removed.
+    A `GraphDef` with all unnecessary ops removed.
+
+  Raises:
+    ValueError: If any element in `input_node_names` refers to a tensor instead
+      of an operation.
+    KeyError: If any element in `input_node_names` is not found in the graph.
   """
+  for name in input_node_names:
+    if ":" in name:
+      raise ValueError("Name '%s' appears to refer to a Tensor, "
+                       "not a Operation." % name)
+
   # Here we replace the nodes we're going to override as inputs with
   # placeholders so that any unused nodes that are inputs to them are
   # automatically stripped out by extract_sub_graph().
+  not_found = {name for name in input_node_names}
   inputs_replaced_graph_def = graph_pb2.GraphDef()
   for node in input_graph_def.node:
     if node.name in input_node_names:
+      not_found.remove(node.name)
       placeholder_node = node_def_pb2.NodeDef()
       placeholder_node.op = "Placeholder"
       placeholder_node.name = node.name
@@ -67,6 +79,9 @@ def strip_unused(input_graph_def, input_node_names, output_node_names,
     else:
       inputs_replaced_graph_def.node.extend([copy.deepcopy(node)])
 
+  if not_found:
+    raise KeyError("The following input nodes were not found: %s\n" % not_found)
+
   output_graph_def = graph_util.extract_sub_graph(inputs_replaced_graph_def,
                                                   output_node_names)
   return output_graph_def

tensorflow/python/tools/strip_unused_test.py

@@ -58,16 +58,25 @@ class StripUnusedTest(test_util.TensorFlowTestCase):
     # routine.
     input_graph_path = os.path.join(self.get_temp_dir(), input_graph_name)
     input_binary = False
-    input_node_names = "wanted_input_node"
     output_binary = True
     output_node_names = "output_node"
     output_graph_path = os.path.join(self.get_temp_dir(), output_graph_name)
 
-    strip_unused_lib.strip_unused_from_files(input_graph_path, input_binary,
-                                             output_graph_path, output_binary,
-                                             input_node_names,
-                                             output_node_names,
-                                             dtypes.float32.as_datatype_enum)
+    def strip(input_node_names):
+      strip_unused_lib.strip_unused_from_files(input_graph_path, input_binary,
+                                               output_graph_path, output_binary,
+                                               input_node_names,
+                                               output_node_names,
+                                               dtypes.float32.as_datatype_enum)
+
+    with self.assertRaises(KeyError):
+      strip("does_not_exist")
+
+    with self.assertRaises(ValueError):
+      strip("wanted_input_node:0")
+
+    input_node_names = "wanted_input_node"
+    strip(input_node_names)
 
     # Now we make sure the variable is now a constant, and that the graph still
     # produces the expected result.