Export the transform_graph functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.

PiperOrigin-RevId: 276369111
Change-Id: Ia5f3d23b9537ebae8edfd59c085cb63d095fc713

tensorflow/python/BUILD

@@ -105,6 +105,7 @@ py_library(
         ":_pywrap_scoped_annotation",
         ":_pywrap_stat_summarizer",
         ":_pywrap_tfprof",
+        ":_pywrap_transform_graph",
         ":_pywrap_util_port",
         ":_pywrap_utils",
         ":array_ops",
@@ -577,6 +578,21 @@ tf_python_pybind_extension(
     ],
 )
 
+tf_python_pybind_extension(
+    name = "_pywrap_transform_graph",
+    srcs = ["util/transform_graph_wrapper.cc"],
+    hdrs = ["//tensorflow/tools/graph_transforms:transform_graph_hdrs"],
+    module_name = "_pywrap_transform_graph",
+    deps = [
+        ":pybind11_status",
+        "//tensorflow/core:framework",
+        "//tensorflow/core:lib",
+        "//tensorflow/core:protos_all_cc",
+        "//third_party/python_runtime:headers",
+        "@pybind11",
+    ],
+)
+
 filegroup(
     name = "py_exception_registry_hdr",
     srcs = [
@@ -952,6 +968,7 @@ py_library(
         ":_pywrap_scoped_annotation",
         ":_pywrap_stat_summarizer",
         ":_pywrap_tfprof",
+        ":_pywrap_transform_graph",
         ":_pywrap_util_port",
         ":_pywrap_utils",
         ":composite_tensor",
@@ -5217,7 +5234,6 @@ tf_py_wrap_cc(
         "pywrap_tfe.i",
         "util/py_checkpoint_reader.i",
         "util/traceme.i",
-        "util/transform_graph.i",
         "//tensorflow/compiler/mlir/python:mlir.i",
     ],
     # add win_def_file for pywrap_tensorflow
@@ -5324,6 +5340,7 @@ genrule(
         ":py_exception_registry",  # py_exception_registry
         ":kernel_registry",
         "//tensorflow/lite/toco/python:toco_python_api",  # toco
+        "//tensorflow/tools/graph_transforms:transform_graph_lib",  # transform_graph
     ],
     outs = ["pybind_symbol_target_libs_file.txt"],
     cmd = select({

tensorflow/python/__init__.py

@@ -56,6 +56,7 @@ from tensorflow.python import _pywrap_py_exception_registry
 from tensorflow.python import _pywrap_kernel_registry
 from tensorflow.python import _pywrap_quantize_training
 from tensorflow.python import _pywrap_scoped_annotation
+from tensorflow.python import _pywrap_transform_graph
 
 # Protocol buffers
 from tensorflow.core.framework.graph_pb2 import *

tensorflow/python/tensorflow.i

@@ -35,8 +35,6 @@ limitations under the License.
 
 %include "tensorflow/python/platform/stacktrace_handler.i"
 
-%include "tensorflow/python/util/transform_graph.i"
-
 %include "tensorflow/python/grappler/cluster.i"
 %include "tensorflow/python/grappler/item.i"
 %include "tensorflow/python/grappler/tf_optimizer.i"

tensorflow/python/util/traceme.i

@@ -13,6 +13,7 @@ See the License for the specific language governing permissions and
 limitations under the License.
 ==============================================================================*/
 
+%include <std_string.i>
 %include "tensorflow/python/lib/core/strings.i"
 %include "tensorflow/python/platform/base.i"
 

tensorflow/python/util/transform_graph.i

@@ -1,85 +0,0 @@
-/* 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 <std_string.i>
-%include "tensorflow/python/lib/core/strings.i"
-%include "tensorflow/python/platform/base.i"
-
-%{
-#include "tensorflow/core/lib/core/status.h"
-#include "tensorflow/core/util/stat_summarizer.h"
-
-#include "tensorflow/core/framework/graph.pb.h"
-#include "tensorflow/core/framework/step_stats.pb.h"
-#include "tensorflow/tools/graph_transforms/transform_graph.h"
-%}
-
-%ignoreall
-
-%unignore tensorflow;
-%unignore TransformGraphWithStringInputs;
-
-
-%{
-string TransformGraphWithStringInputs(string graph_def_string,
-                                      string inputs_string,
-                                      string outputs_string,
-                                      string transforms_string,
-                                      TF_Status* out_status) {
-  tensorflow::GraphDef graph_def;
-  if (!graph_def.ParseFromString(graph_def_string)) {
-    Set_TF_Status_from_Status(out_status, tensorflow::errors::InvalidArgument(
-        "Couldn't interpret input as a GraphDef"));
-    return "";
-  }
-
-  tensorflow::graph_transforms::TransformParameters params_list;
-  tensorflow::Status parse_status =
-      tensorflow::graph_transforms::ParseTransformParameters(
-          transforms_string, &params_list);
-  if (!parse_status.ok()) {
-    tensorflow::Set_TF_Status_from_Status(out_status, parse_status);
-    return "";
-  }
-  std::vector<string> inputs = tensorflow::str_util::Split(inputs_string, ',');
-  std::vector<string> outputs =
-      tensorflow::str_util::Split(outputs_string, ',');
-
-  tensorflow::Status transform_status =
-      tensorflow::graph_transforms::TransformGraph(
-          inputs, outputs, params_list, &graph_def);
-  if (!transform_status.ok()) {
-    tensorflow::Set_TF_Status_from_Status(out_status, transform_status);
-    return "";
-  }
-  string result;
-  if (!graph_def.SerializeToString(&result)) {
-    Set_TF_Status_from_Status(out_status, tensorflow::errors::InvalidArgument(
-        "Couldn't serialize output as a GraphDef"));
-    return "";
-  }
-  Set_TF_Status_from_Status(out_status, tensorflow::Status::OK());
-  return result;
-}
-%}
-
-
-string TransformGraphWithStringInputs(string graph_def_string,
-                                      string inputs_string,
-                                      string outputs_string,
-                                      string transforms_string,
-                                      TF_Status* out_status);
-
-%unignoreall

tensorflow/python/util/transform_graph_wrapper.cc

@@ -0,0 +1,74 @@
+/* Copyright 2019 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 <string>
+#include <vector>
+
+#include "include/pybind11/pybind11.h"
+#include "tensorflow/core/lib/strings/str_util.h"
+#include "tensorflow/core/platform/types.h"
+#include "tensorflow/python/lib/core/pybind11_status.h"
+#include "tensorflow/tools/graph_transforms/transform_graph.h"
+
+namespace py = pybind11;
+
+namespace tensorflow {
+
+string TransformGraphWithStringInputs(string graph_def_string,
+                                      string inputs_string,
+                                      string outputs_string,
+                                      string transforms_string) {
+  GraphDef graph_def;
+  if (!graph_def.ParseFromString(graph_def_string)) {
+    MaybeRaiseFromStatus(
+        errors::InvalidArgument("Couldn't interpret input as a GraphDef"));
+  }
+
+  graph_transforms::TransformParameters params_list;
+  Status parse_status = graph_transforms::ParseTransformParameters(
+      transforms_string, &params_list);
+  if (!parse_status.ok()) {
+    MaybeRaiseFromStatus(parse_status);
+  }
+  std::vector<string> inputs = str_util::Split(inputs_string, ',');
+  std::vector<string> outputs = str_util::Split(outputs_string, ',');
+
+  Status transform_status = graph_transforms::TransformGraph(
+      inputs, outputs, params_list, &graph_def);
+  if (!transform_status.ok()) {
+    MaybeRaiseFromStatus(transform_status);
+  }
+  string result;
+  if (!graph_def.SerializeToString(&result)) {
+    MaybeRaiseFromStatus(
+        errors::InvalidArgument("Couldn't serialize output as a GraphDef"));
+  }
+  return result;
+}
+
+}  // namespace tensorflow
+
+PYBIND11_MODULE(_pywrap_transform_graph, m) {
+  m.def(
+      "TransformGraphWithStringInputs",
+      [](const py::object graph_def_string, const py::object inputs_string,
+         const py::object outputs_string, const py::object transforms_string) {
+        return py::bytes(tensorflow::TransformGraphWithStringInputs(
+            graph_def_string.cast<std::string>(),
+            inputs_string.cast<std::string>(),
+            outputs_string.cast<std::string>(),
+            transforms_string.cast<std::string>()));
+      });
+};

tensorflow/tools/def_file_filter/symbols_pybind.txt

@@ -93,3 +93,6 @@ tensorflow::swig::TryFindKernelClass
 toco::TocoConvert
 toco::TocoGetPotentiallySupportedOps
 
+[transform_graph_lib] # transform_graph
+tensorflow::graph_transforms::TransformGraph
+tensorflow::graph_transforms::ParseTransformParameters

tensorflow/tools/graph_transforms/BUILD

@@ -207,6 +207,18 @@ tf_cc_test(
     ],
 )
 
+filegroup(
+    name = "transform_graph_hdrs",
+    srcs = [
+        "transform_graph.h",
+        "transform_utils.h",
+    ],
+    visibility = [
+        "//tensorflow/core:__pkg__",
+        "//tensorflow/python:__pkg__",
+    ],
+)
+
 cc_library(
     name = "transform_graph_lib",
     srcs = ["transform_graph.cc"],
@@ -316,8 +328,8 @@ py_library(
     srcs_version = "PY2AND3",
     deps = [
         "//tensorflow/core:protos_all_py",
+        "//tensorflow/python:_pywrap_transform_graph",
         "//tensorflow/python:errors",
-        "//tensorflow/python:pywrap_tensorflow",
         "//tensorflow/python:util",
     ],
 )

tensorflow/tools/graph_transforms/__init__.py

@@ -19,8 +19,7 @@ from __future__ import print_function
 
 # pylint: disable=unused-import,wildcard-import, line-too-long
 from tensorflow.core.framework import graph_pb2
-from tensorflow.python.framework import errors
-from tensorflow.python.pywrap_tensorflow import TransformGraphWithStringInputs
+from tensorflow.python._pywrap_transform_graph import TransformGraphWithStringInputs
 from tensorflow.python.util import compat
 
 
@@ -45,10 +44,8 @@ def TransformGraph(input_graph_def, inputs, outputs, transforms):
   inputs_string = compat.as_bytes(",".join(inputs))
   outputs_string = compat.as_bytes(",".join(outputs))
   transforms_string = compat.as_bytes(" ".join(transforms))
-  with errors.raise_exception_on_not_ok_status() as status:
-    output_graph_def_string = TransformGraphWithStringInputs(
-        input_graph_def_string, inputs_string, outputs_string,
-        transforms_string, status)
+  output_graph_def_string = TransformGraphWithStringInputs(
+      input_graph_def_string, inputs_string, outputs_string, transforms_string)
   output_graph_def = graph_pb2.GraphDef()
   output_graph_def.ParseFromString(output_graph_def_string)
   return output_graph_def