Fix GetOpList and GetPythonWrappers SWIG wrappers for Python 3.

- Return the result from GetOpList as uninterpreted bytes object.
- Write a input typemap for GetPythonWrappers to receive python 'bytes'
object and convert to const char* pointer and length.
Change: 117258253

tensorflow/python/client/tf_session.i

@@ -237,11 +237,7 @@ tensorflow::ImportNumpy();
 // is not expected to be NULL-terminated, and TF_Buffer.length does not count
 // the terminator.
 %typemap(out) TF_Buffer (TF_GetOpList,TF_GetBuffer) {
-%#if PY_MAJOR_VERSION < 3
-  $result = PyString_FromStringAndSize(
-%#else
-  $result = PyUnicode_FromStringAndSize(
-%#endif
+  $result = PyBytes_FromStringAndSize(
       reinterpret_cast<const char*>($1.data), $1.length);
 }
 

tensorflow/python/framework/load_library.py

@@ -43,8 +43,6 @@ def load_op_library(library_filename):
   Pass "library_filename" to a platform-specific mechanism for dynamically
   loading a library. The rules for determining the exact location of the
   library are platform-specific and are not documented here.
-  Expects the symbols "RegisterOps", "RegisterKernels", and "GetOpList", to be
-  defined in the library.
 
   Args:
     library_filename: Path to the plugin.
@@ -78,7 +76,7 @@ def load_op_library(library_filename):
   op_list_str = py_tf.TF_GetOpList(lib_handle)
   op_list = op_def_pb2.OpList()
   op_list.ParseFromString(compat.as_bytes(op_list_str))
-  wrappers = py_tf.GetPythonWrappers(op_list_str, len(op_list_str))
+  wrappers = py_tf.GetPythonWrappers(op_list_str)
 
   # Get a unique name for the module.
   module_name = hashlib.md5(wrappers).hexdigest()

tensorflow/python/framework/python_op_gen.cc

@@ -693,8 +693,8 @@ string GetAllPythonOps(const char* hidden, bool require_shapes) {
   return GetPythonOps(ops, hidden, require_shapes);
 }
 
-string GetPythonWrappers(const char* buf, size_t len) {
-  string op_list_str(buf, len);
+string GetPythonWrappers(const char* op_wrapper_buf, size_t op_wrapper_len) {
+  string op_list_str(op_wrapper_buf, op_wrapper_len);
   OpList ops;
   ops.ParseFromString(op_list_str);
   return GetPythonOps(ops, "", false);

tensorflow/python/framework/python_op_gen.h

@@ -34,7 +34,7 @@ string GetPythonOps(const OpList& ops, const string& hidden_ops,
 // Get the python wrappers for a list of ops in a OpList.
 // buf should be a pointer to a buffer containing the binary encoded OpList
 // proto, and len should be the length of that buffer.
-string GetPythonWrappers(const char* buf, size_t len);
+string GetPythonWrappers(const char* op_wrapper_buf, size_t op_wrapper_len);
 
 }  // namespace tensorflow
 

tensorflow/python/framework/python_op_gen.i

@@ -19,6 +19,23 @@ limitations under the License.
 #include "tensorflow/python/framework/python_op_gen.h"
 %}
 
+// Input typemap for GetPythonWrappers.
+// Accepts a python object of 'bytes' type, and converts it to
+// a const char* pointer and size_t length. The default typemap
+// going from python bytes to const char* tries to decode the
+// contents from utf-8 to unicode for Python version >= 3, but
+// we want the bytes to be uninterpreted.
+%typemap(in) (const char* op_wrapper_buf, size_t op_wrapper_len) {
+  char* c_string;
+  Py_ssize_t py_size;
+  if (PyBytes_AsStringAndSize($input, &c_string, &py_size) == -1) {
+    SWIG_fail;
+  }
+  $1 = c_string;
+  $2 = static_cast<size_t>(py_size);
+}
+
+
 %ignoreall;
 %unignore tensorflow::GetPythonWrappers;
 %include "tensorflow/python/framework/python_op_gen.h"