Modify dependency structure of transform_utils to allow use within Grappler.

PiperOrigin-RevId: 162998272

1 files changed, 46 insertions, 0 deletions

diff --git a/tensorflow/tools/graph_transforms/file_utils.cc b/tensorflow/tools/graph_transforms/file_utils.cc
new file mode 100644
index 0000000000..5649c97198
--- /dev/null
+++ b/tensorflow/tools/graph_transforms/file_utils.cc
@@ -0,0 +1,46 @@
+/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+
+#include "tensorflow/tools/graph_transforms/file_utils.h"
+
+#include "tensorflow/core/public/session.h"
+
+namespace tensorflow {
+namespace graph_transforms {
+
+Status LoadTextOrBinaryGraphFile(const string& file_name, GraphDef* graph_def) {
+  string file_data;
+  Status load_file_status =
+      ReadFileToString(Env::Default(), file_name, &file_data);
+  if (!load_file_status.ok()) {
+    errors::AppendToMessage(&load_file_status, " (for file ", file_name, ")");
+    return load_file_status;
+  }
+  // Try to load in binary format first, and then try ascii if that fails.
+  Status load_status = ReadBinaryProto(Env::Default(), file_name, graph_def);
+  if (!load_status.ok()) {
+    if (protobuf::TextFormat::ParseFromString(file_data, graph_def)) {
+      load_status = Status::OK();
+    } else {
+      errors::AppendToMessage(&load_status,
+                              " (both text and binary parsing failed for file ",
+                              file_name, ")");
+    }
+  }
+  return load_status;
+}
+
+}  // namespace graph_transforms
+}  // namespace tensorflow