Initial API compatibility script for TF2.0. I am pretty much reusing 1.0 conversion script but passing V2 data. Also, remove code from tf_update.py which is also in ast_edits.py.

PiperOrigin-RevId: 205887317

9 files changed, 547 insertions, 485 deletions

diff --git a/tensorflow/tools/compatibility/BUILD b/tensorflow/tools/compatibility/BUILD
index b7bfb29aae..55792c51fe 100644
--- a/tensorflow/tools/compatibility/BUILD
+++ b/tensorflow/tools/compatibility/BUILD
@@ -8,10 +8,17 @@ load(
     "tf_cc_test",  # @unused
 )
 
+py_library(
+    name = "ast_edits",
+    srcs = ["ast_edits.py"],
+    srcs_version = "PY2AND3",
+)
+
 py_binary(
     name = "tf_upgrade",
     srcs = ["tf_upgrade.py"],
     srcs_version = "PY2AND3",
+    deps = [":ast_edits"],
 )
 
 py_test(
@@ -26,6 +33,28 @@ py_test(
     ],
 )
 
+py_binary(
+    name = "tf_upgrade_v2",
+    srcs = [
+        "renames_v2.py",
+        "tf_upgrade_v2.py",
+    ],
+    srcs_version = "PY2AND3",
+    deps = [":ast_edits"],
+)
+
+py_test(
+    name = "tf_upgrade_v2_test",
+    srcs = ["tf_upgrade_v2_test.py"],
+    srcs_version = "PY2AND3",
+    deps = [
+        ":tf_upgrade_v2",
+        "//tensorflow/python:client_testlib",
+        "//tensorflow/python:framework_test_lib",
+        "@six_archive//:six",
+    ],
+)
+
 # Keep for reference, this test will succeed in 0.11 but fail in 1.0
 # py_test(
 #     name = "test_file_v0_11",
@@ -62,9 +91,37 @@ py_test(
     ],
 )
 
+genrule(
+    name = "generate_upgraded_file_v2",
+    testonly = 1,
+    srcs = ["testdata/test_file_v1_10.py"],
+    outs = [
+        "test_file_v2_0.py",
+        "report_v2.txt",
+    ],
+    cmd = ("$(location :tf_upgrade_v2)" +
+           " --infile $(location testdata/test_file_v1_10.py)" +
+           " --outfile $(location test_file_v2_0.py)" +
+           " --reportfile $(location report_v2.txt)"),
+    tools = [":tf_upgrade_v2"],
+)
+
+py_test(
+    name = "test_file_v2_0",
+    size = "small",
+    srcs = ["test_file_v2_0.py"],
+    srcs_version = "PY2AND3",
+    deps = [
+        "//tensorflow:tensorflow_py",
+    ],
+)
+
 exports_files(
     [
+        "ast_edits.py",
         "tf_upgrade.py",
+        "renames_v2.py",
         "testdata/test_file_v0_11.py",
+        "testdata/test_file_v1_10.py",
     ],
 )
diff --git a/tensorflow/tools/compatibility/renames_v2.py b/tensorflow/tools/compatibility/renames_v2.py
new file mode 100644
index 0000000000..216aa41b60
--- /dev/null
+++ b/tensorflow/tools/compatibility/renames_v2.py
@@ -0,0 +1,134 @@
+# Copyright 2018 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.
+# ==============================================================================
+# pylint: disable=line-too-long
+"""List of renames to apply when converting from TF 1.0 to TF 2.0.
+
+THIS FILE IS AUTOGENERATED: To update, please run:
+  bazel build tensorflow/tools/compatibility/update:generate_v2_renames_map
+  bazel-bin/tensorflow/tools/compatibility/update/generate_v2_renames_map
+This file should be updated whenever endpoints are deprecated.
+"""
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+renames = {
+    'tf.acos': 'tf.math.acos',
+    'tf.acosh': 'tf.math.acosh',
+    'tf.add': 'tf.math.add',
+    'tf.as_string': 'tf.dtypes.as_string',
+    'tf.asin': 'tf.math.asin',
+    'tf.asinh': 'tf.math.asinh',
+    'tf.atan': 'tf.math.atan',
+    'tf.atan2': 'tf.math.atan2',
+    'tf.atanh': 'tf.math.atanh',
+    'tf.batch_to_space_nd': 'tf.manip.batch_to_space_nd',
+    'tf.betainc': 'tf.math.betainc',
+    'tf.ceil': 'tf.math.ceil',
+    'tf.check_numerics': 'tf.debugging.check_numerics',
+    'tf.cholesky': 'tf.linalg.cholesky',
+    'tf.cos': 'tf.math.cos',
+    'tf.cosh': 'tf.math.cosh',
+    'tf.cross': 'tf.linalg.cross',
+    'tf.decode_base64': 'tf.io.decode_base64',
+    'tf.decode_compressed': 'tf.io.decode_compressed',
+    'tf.decode_json_example': 'tf.io.decode_json_example',
+    'tf.decode_raw': 'tf.io.decode_raw',
+    'tf.dequantize': 'tf.quantization.dequantize',
+    'tf.diag': 'tf.linalg.tensor_diag',
+    'tf.diag_part': 'tf.linalg.tensor_diag_part',
+    'tf.digamma': 'tf.math.digamma',
+    'tf.encode_base64': 'tf.io.encode_base64',
+    'tf.equal': 'tf.math.equal',
+    'tf.erfc': 'tf.math.erfc',
+    'tf.exp': 'tf.math.exp',
+    'tf.expm1': 'tf.math.expm1',
+    'tf.extract_image_patches': 'tf.image.extract_image_patches',
+    'tf.fake_quant_with_min_max_args': 'tf.quantization.fake_quant_with_min_max_args',
+    'tf.fake_quant_with_min_max_args_gradient': 'tf.quantization.fake_quant_with_min_max_args_gradient',
+    'tf.fake_quant_with_min_max_vars': 'tf.quantization.fake_quant_with_min_max_vars',
+    'tf.fake_quant_with_min_max_vars_gradient': 'tf.quantization.fake_quant_with_min_max_vars_gradient',
+    'tf.fake_quant_with_min_max_vars_per_channel': 'tf.quantization.fake_quant_with_min_max_vars_per_channel',
+    'tf.fake_quant_with_min_max_vars_per_channel_gradient': 'tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient',
+    'tf.fft': 'tf.spectral.fft',
+    'tf.floor': 'tf.math.floor',
+    'tf.gather_nd': 'tf.manip.gather_nd',
+    'tf.greater': 'tf.math.greater',
+    'tf.greater_equal': 'tf.math.greater_equal',
+    'tf.ifft': 'tf.spectral.ifft',
+    'tf.igamma': 'tf.math.igamma',
+    'tf.igammac': 'tf.math.igammac',
+    'tf.invert_permutation': 'tf.math.invert_permutation',
+    'tf.is_finite': 'tf.debugging.is_finite',
+    'tf.is_inf': 'tf.debugging.is_inf',
+    'tf.is_nan': 'tf.debugging.is_nan',
+    'tf.less': 'tf.math.less',
+    'tf.less_equal': 'tf.math.less_equal',
+    'tf.lgamma': 'tf.math.lgamma',
+    'tf.log': 'tf.math.log',
+    'tf.log1p': 'tf.math.log1p',
+    'tf.logical_and': 'tf.math.logical_and',
+    'tf.logical_not': 'tf.math.logical_not',
+    'tf.logical_or': 'tf.math.logical_or',
+    'tf.matching_files': 'tf.io.matching_files',
+    'tf.matrix_band_part': 'tf.linalg.band_part',
+    'tf.matrix_determinant': 'tf.linalg.det',
+    'tf.matrix_diag': 'tf.linalg.diag',
+    'tf.matrix_diag_part': 'tf.linalg.diag_part',
+    'tf.matrix_inverse': 'tf.linalg.inv',
+    'tf.matrix_set_diag': 'tf.linalg.set_diag',
+    'tf.matrix_solve': 'tf.linalg.solve',
+    'tf.matrix_triangular_solve': 'tf.linalg.triangular_solve',
+    'tf.maximum': 'tf.math.maximum',
+    'tf.minimum': 'tf.math.minimum',
+    'tf.not_equal': 'tf.math.not_equal',
+    'tf.parse_tensor': 'tf.io.parse_tensor',
+    'tf.polygamma': 'tf.math.polygamma',
+    'tf.qr': 'tf.linalg.qr',
+    'tf.quantized_concat': 'tf.quantization.quantized_concat',
+    'tf.read_file': 'tf.io.read_file',
+    'tf.reciprocal': 'tf.math.reciprocal',
+    'tf.regex_replace': 'tf.strings.regex_replace',
+    'tf.reshape': 'tf.manip.reshape',
+    'tf.reverse': 'tf.manip.reverse',
+    'tf.reverse_v2': 'tf.manip.reverse',
+    'tf.rint': 'tf.math.rint',
+    'tf.rsqrt': 'tf.math.rsqrt',
+    'tf.scatter_nd': 'tf.manip.scatter_nd',
+    'tf.segment_max': 'tf.math.segment_max',
+    'tf.segment_mean': 'tf.math.segment_mean',
+    'tf.segment_min': 'tf.math.segment_min',
+    'tf.segment_prod': 'tf.math.segment_prod',
+    'tf.segment_sum': 'tf.math.segment_sum',
+    'tf.sin': 'tf.math.sin',
+    'tf.sinh': 'tf.math.sinh',
+    'tf.space_to_batch_nd': 'tf.manip.space_to_batch_nd',
+    'tf.squared_difference': 'tf.math.squared_difference',
+    'tf.string_join': 'tf.strings.join',
+    'tf.string_strip': 'tf.strings.strip',
+    'tf.string_to_hash_bucket': 'tf.strings.to_hash_bucket',
+    'tf.string_to_hash_bucket_fast': 'tf.strings.to_hash_bucket_fast',
+    'tf.string_to_hash_bucket_strong': 'tf.strings.to_hash_bucket_strong',
+    'tf.string_to_number': 'tf.strings.to_number',
+    'tf.substr': 'tf.strings.substr',
+    'tf.tan': 'tf.math.tan',
+    'tf.tile': 'tf.manip.tile',
+    'tf.unsorted_segment_max': 'tf.math.unsorted_segment_max',
+    'tf.unsorted_segment_min': 'tf.math.unsorted_segment_min',
+    'tf.unsorted_segment_prod': 'tf.math.unsorted_segment_prod',
+    'tf.unsorted_segment_sum': 'tf.math.unsorted_segment_sum',
+    'tf.write_file': 'tf.io.write_file',
+    'tf.zeta': 'tf.math.zeta'
+}
diff --git a/tensorflow/tools/compatibility/testdata/test_file_v1_10.py b/tensorflow/tools/compatibility/testdata/test_file_v1_10.py
new file mode 100644
index 0000000000..a49035a1a0
--- /dev/null
+++ b/tensorflow/tools/compatibility/testdata/test_file_v1_10.py
@@ -0,0 +1,34 @@
+# Copyright 2018 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.
+# ==============================================================================
+"""Tests for tf upgrader."""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+import tensorflow as tf
+from tensorflow.python.framework import test_util
+from tensorflow.python.platform import test as test_lib
+
+
+class TestUpgrade(test_util.TensorFlowTestCase):
+  """Test various APIs that have been changed in 2.0."""
+
+  def testRenames(self):
+    with self.test_session():
+      self.assertAllClose(1.04719755, tf.acos(0.5).eval())
+      self.assertAllClose(0.5, tf.rsqrt(4.0).eval())
+
+if __name__ == "__main__":
+  test_lib.main()
diff --git a/tensorflow/tools/compatibility/tf_upgrade.py b/tensorflow/tools/compatibility/tf_upgrade.py
index 1f8833582a..96705b1a4c 100644
--- a/tensorflow/tools/compatibility/tf_upgrade.py
+++ b/tensorflow/tools/compatibility/tf_upgrade.py
@@ -19,491 +19,11 @@ from __future__ import division
 from __future__ import print_function
 
 import argparse
-import ast
-import collections
-import os
-import shutil
-import sys
-import tempfile
-import traceback
 
+from tensorflow.tools.compatibility import ast_edits
 
-class APIChangeSpec(object):
-  """This class defines the transformations that need to happen.
 
-  This class must provide the following fields:
-
-  * `function_keyword_renames`: maps function names to a map of old -> new
-    argument names
-  * `function_renames`: maps function names to new function names
-  * `change_to_function`: a set of function names that have changed (for
-    notifications)
-  * `function_reorders`: maps functions whose argument order has changed to the
-    list of arguments in the new order
-  * `function_handle`: maps function names to custom handlers for the function
-
-  For an example, see `TFAPIChangeSpec`.
-  """
-
-
-class _FileEditTuple(
-    collections.namedtuple("_FileEditTuple",
-                           ["comment", "line", "start", "old", "new"])):
-  """Each edit that is recorded by a _FileEditRecorder.
-
-  Fields:
-    comment: A description of the edit and why it was made.
-    line: The line number in the file where the edit occurs (1-indexed).
-    start: The line number in the file where the edit occurs (0-indexed).
-    old: text string to remove (this must match what was in file).
-    new: text string to add in place of `old`.
-  """
-
-  __slots__ = ()
-
-
-class _FileEditRecorder(object):
-  """Record changes that need to be done to the file."""
-
-  def __init__(self, filename):
-    # all edits are lists of chars
-    self._filename = filename
-
-    self._line_to_edit = collections.defaultdict(list)
-    self._errors = []
-
-  def process(self, text):
-    """Process a list of strings, each corresponding to the recorded changes.
-
-    Args:
-      text: A list of lines of text (assumed to contain newlines)
-    Returns:
-      A tuple of the modified text and a textual description of what is done.
-    Raises:
-      ValueError: if substitution source location does not have expected text.
-    """
-
-    change_report = ""
-
-    # Iterate of each line
-    for line, edits in self._line_to_edit.items():
-      offset = 0
-      # sort by column so that edits are processed in order in order to make
-      # indexing adjustments cumulative for changes that change the string
-      # length
-      edits.sort(key=lambda x: x.start)
-
-      # Extract each line to a list of characters, because mutable lists
-      # are editable, unlike immutable strings.
-      char_array = list(text[line - 1])
-
-      # Record a description of the change
-      change_report += "%r Line %d\n" % (self._filename, line)
-      change_report += "-" * 80 + "\n\n"
-      for e in edits:
-        change_report += "%s\n" % e.comment
-      change_report += "\n    Old: %s" % (text[line - 1])
-
-      # Make underscore buffers for underlining where in the line the edit was
-      change_list = [" "] * len(text[line - 1])
-      change_list_new = [" "] * len(text[line - 1])
-
-      # Iterate for each edit
-      for e in edits:
-        # Create effective start, end by accounting for change in length due
-        # to previous edits
-        start_eff = e.start + offset
-        end_eff = start_eff + len(e.old)
-
-        # Make sure the edit is changing what it should be changing
-        old_actual = "".join(char_array[start_eff:end_eff])
-        if old_actual != e.old:
-          raise ValueError("Expected text %r but got %r" %
-                           ("".join(e.old), "".join(old_actual)))
-        # Make the edit
-        char_array[start_eff:end_eff] = list(e.new)
-
-        # Create the underline highlighting of the before and after
-        change_list[e.start:e.start + len(e.old)] = "~" * len(e.old)
-        change_list_new[start_eff:end_eff] = "~" * len(e.new)
-
-        # Keep track of how to generate effective ranges
-        offset += len(e.new) - len(e.old)
-
-      # Finish the report comment
-      change_report += "         %s\n" % "".join(change_list)
-      text[line - 1] = "".join(char_array)
-      change_report += "    New: %s" % (text[line - 1])
-      change_report += "         %s\n\n" % "".join(change_list_new)
-    return "".join(text), change_report, self._errors
-
-  def add(self, comment, line, start, old, new, error=None):
-    """Add a new change that is needed.
-
-    Args:
-      comment: A description of what was changed
-      line: Line number (1 indexed)
-      start: Column offset (0 indexed)
-      old: old text
-      new: new text
-      error: this "edit" is something that cannot be fixed automatically
-    Returns:
-      None
-    """
-
-    self._line_to_edit[line].append(
-        _FileEditTuple(comment, line, start, old, new))
-    if error:
-      self._errors.append("%s:%d: %s" % (self._filename, line, error))
-
-
-class _ASTCallVisitor(ast.NodeVisitor):
-  """AST Visitor that processes function calls.
-
-  Updates function calls from old API version to new API version using a given
-  change spec.
-  """
-
-  def __init__(self, filename, lines, api_change_spec):
-    self._filename = filename
-    self._file_edit = _FileEditRecorder(filename)
-    self._lines = lines
-    self._api_change_spec = api_change_spec
-
-  def process(self, lines):
-    return self._file_edit.process(lines)
-
-  def generic_visit(self, node):
-    ast.NodeVisitor.generic_visit(self, node)
-
-  def _rename_functions(self, node, full_name):
-    function_renames = self._api_change_spec.function_renames
-    try:
-      new_name = function_renames[full_name]
-      self._file_edit.add("Renamed function %r to %r" % (full_name, new_name),
-                          node.lineno, node.col_offset, full_name, new_name)
-    except KeyError:
-      pass
-
-  def _get_attribute_full_path(self, node):
-    """Traverse an attribute to generate a full name e.g. tf.foo.bar.
-
-    Args:
-      node: A Node of type Attribute.
-
-    Returns:
-      a '.'-delimited full-name or None if the tree was not a simple form.
-      i.e. `foo()+b).bar` returns None, while `a.b.c` would return "a.b.c".
-    """
-    curr = node
-    items = []
-    while not isinstance(curr, ast.Name):
-      if not isinstance(curr, ast.Attribute):
-        return None
-      items.append(curr.attr)
-      curr = curr.value
-    items.append(curr.id)
-    return ".".join(reversed(items))
-
-  def _find_true_position(self, node):
-    """Return correct line number and column offset for a given node.
-
-    This is necessary mainly because ListComp's location reporting reports
-    the next token after the list comprehension list opening.
-
-    Args:
-      node: Node for which we wish to know the lineno and col_offset
-    """
-    import re
-    find_open = re.compile("^\s*(\\[).*$")
-    find_string_chars = re.compile("['\"]")
-
-    if isinstance(node, ast.ListComp):
-      # Strangely, ast.ListComp returns the col_offset of the first token
-      # after the '[' token which appears to be a bug. Workaround by
-      # explicitly finding the real start of the list comprehension.
-      line = node.lineno
-      col = node.col_offset
-      # loop over lines
-      while 1:
-        # Reverse the text to and regular expression search for whitespace
-        text = self._lines[line - 1]
-        reversed_preceding_text = text[:col][::-1]
-        # First find if a [ can be found with only whitespace between it and
-        # col.
-        m = find_open.match(reversed_preceding_text)
-        if m:
-          new_col_offset = col - m.start(1) - 1
-          return line, new_col_offset
-        else:
-          if (reversed_preceding_text == "" or
-              reversed_preceding_text.isspace()):
-            line = line - 1
-            prev_line = self._lines[line - 1]
-            # TODO(aselle):
-            # this is poor comment detection, but it is good enough for
-            # cases where the comment does not contain string literal starting/
-            # ending characters. If ast gave us start and end locations of the
-            # ast nodes rather than just start, we could use string literal
-            # node ranges to filter out spurious #'s that appear in string
-            # literals.
-            comment_start = prev_line.find("#")
-            if comment_start == -1:
-              col = len(prev_line) - 1
-            elif find_string_chars.search(prev_line[comment_start:]) is None:
-              col = comment_start
-            else:
-              return None, None
-          else:
-            return None, None
-    # Most other nodes return proper locations (with notably does not), but
-    # it is not possible to use that in an argument.
-    return node.lineno, node.col_offset
-
-  def visit_Call(self, node):  # pylint: disable=invalid-name
-    """Handle visiting a call node in the AST.
-
-    Args:
-      node: Current Node
-    """
-
-    # Find a simple attribute name path e.g. "tf.foo.bar"
-    full_name = self._get_attribute_full_path(node.func)
-
-    # Make sure the func is marked as being part of a call
-    node.func.is_function_for_call = True
-
-    if full_name:
-      # Call special handlers
-      function_handles = self._api_change_spec.function_handle
-      if full_name in function_handles:
-        function_handles[full_name](self._file_edit, node)
-
-      # Examine any non-keyword argument and make it into a keyword argument
-      # if reordering required.
-      function_reorders = self._api_change_spec.function_reorders
-      function_keyword_renames = (
-          self._api_change_spec.function_keyword_renames)
-
-      if full_name in function_reorders:
-        reordered = function_reorders[full_name]
-        for idx, arg in enumerate(node.args):
-          lineno, col_offset = self._find_true_position(arg)
-          if lineno is None or col_offset is None:
-            self._file_edit.add(
-                "Failed to add keyword %r to reordered function %r" %
-                (reordered[idx], full_name),
-                arg.lineno,
-                arg.col_offset,
-                "",
-                "",
-                error="A necessary keyword argument failed to be inserted.")
-          else:
-            keyword_arg = reordered[idx]
-            if (full_name in function_keyword_renames and
-                keyword_arg in function_keyword_renames[full_name]):
-              keyword_arg = function_keyword_renames[full_name][keyword_arg]
-            self._file_edit.add("Added keyword %r to reordered function %r" %
-                                (reordered[idx], full_name), lineno, col_offset,
-                                "", keyword_arg + "=")
-
-      # Examine each keyword argument and convert it to the final renamed form
-      renamed_keywords = ({} if full_name not in function_keyword_renames else
-                          function_keyword_renames[full_name])
-      for keyword in node.keywords:
-        argkey = keyword.arg
-        argval = keyword.value
-
-        if argkey in renamed_keywords:
-          argval_lineno, argval_col_offset = self._find_true_position(argval)
-          if argval_lineno is not None and argval_col_offset is not None:
-            # TODO(aselle): We should scan backward to find the start of the
-            # keyword key. Unfortunately ast does not give you the location of
-            # keyword keys, so we are forced to infer it from the keyword arg
-            # value.
-            key_start = argval_col_offset - len(argkey) - 1
-            key_end = key_start + len(argkey) + 1
-            if (self._lines[argval_lineno - 1][key_start:key_end] == argkey +
-                "="):
-              self._file_edit.add("Renamed keyword argument from %r to %r" %
-                                  (argkey,
-                                   renamed_keywords[argkey]), argval_lineno,
-                                  argval_col_offset - len(argkey) - 1,
-                                  argkey + "=", renamed_keywords[argkey] + "=")
-              continue
-          self._file_edit.add(
-              "Failed to rename keyword argument from %r to %r" %
-              (argkey, renamed_keywords[argkey]),
-              argval.lineno,
-              argval.col_offset - len(argkey) - 1,
-              "",
-              "",
-              error="Failed to find keyword lexographically. Fix manually.")
-
-    ast.NodeVisitor.generic_visit(self, node)
-
-  def visit_Attribute(self, node):  # pylint: disable=invalid-name
-    """Handle bare Attributes i.e. [tf.foo, tf.bar].
-
-    Args:
-      node: Node that is of type ast.Attribute
-    """
-    full_name = self._get_attribute_full_path(node)
-    if full_name:
-      self._rename_functions(node, full_name)
-    if full_name in self._api_change_spec.change_to_function:
-      if not hasattr(node, "is_function_for_call"):
-        new_text = full_name + "()"
-        self._file_edit.add("Changed %r to %r" % (full_name, new_text),
-                            node.lineno, node.col_offset, full_name, new_text)
-
-    ast.NodeVisitor.generic_visit(self, node)
-
-
-class ASTCodeUpgrader(object):
-  """Handles upgrading a set of Python files using a given API change spec."""
-
-  def __init__(self, api_change_spec):
-    if not isinstance(api_change_spec, APIChangeSpec):
-      raise TypeError("Must pass APIChangeSpec to ASTCodeUpgrader, got %s" %
-                      type(api_change_spec))
-    self._api_change_spec = api_change_spec
-
-  def process_file(self, in_filename, out_filename):
-    """Process the given python file for incompatible changes.
-
-    Args:
-      in_filename: filename to parse
-      out_filename: output file to write to
-    Returns:
-      A tuple representing number of files processed, log of actions, errors
-    """
-
-    # Write to a temporary file, just in case we are doing an implace modify.
-    with open(in_filename, "r") as in_file, \
-        tempfile.NamedTemporaryFile("w", delete=False) as temp_file:
-      ret = self.process_opened_file(in_filename, in_file, out_filename,
-                                     temp_file)
-
-    shutil.move(temp_file.name, out_filename)
-    return ret
-
-  # Broad exceptions are required here because ast throws whatever it wants.
-  # pylint: disable=broad-except
-  def process_opened_file(self, in_filename, in_file, out_filename, out_file):
-    """Process the given python file for incompatible changes.
-
-    This function is split out to facilitate StringIO testing from
-    tf_upgrade_test.py.
-
-    Args:
-      in_filename: filename to parse
-      in_file: opened file (or StringIO)
-      out_filename: output file to write to
-      out_file: opened file (or StringIO)
-    Returns:
-      A tuple representing number of files processed, log of actions, errors
-    """
-    process_errors = []
-    text = "-" * 80 + "\n"
-    text += "Processing file %r\n outputting to %r\n" % (in_filename,
-                                                         out_filename)
-    text += "-" * 80 + "\n\n"
-
-    parsed_ast = None
-    lines = in_file.readlines()
-    try:
-      parsed_ast = ast.parse("".join(lines))
-    except Exception:
-      text += "Failed to parse %r\n\n" % in_filename
-      text += traceback.format_exc()
-    if parsed_ast:
-      visitor = _ASTCallVisitor(in_filename, lines, self._api_change_spec)
-      visitor.visit(parsed_ast)
-      out_text, new_text, process_errors = visitor.process(lines)
-      text += new_text
-      if out_file:
-        out_file.write(out_text)
-    text += "\n"
-    return 1, text, process_errors
-
-  # pylint: enable=broad-except
-
-  def process_tree(self, root_directory, output_root_directory,
-                   copy_other_files):
-    """Processes upgrades on an entire tree of python files in place.
-
-    Note that only Python files. If you have custom code in other languages,
-    you will need to manually upgrade those.
-
-    Args:
-      root_directory: Directory to walk and process.
-      output_root_directory: Directory to use as base.
-      copy_other_files: Copy files that are not touched by this converter.
-
-    Returns:
-      A tuple of files processed, the report string ofr all files, and errors
-    """
-
-    # make sure output directory doesn't exist
-    if output_root_directory and os.path.exists(output_root_directory):
-      print("Output directory %r must not already exist." %
-            (output_root_directory))
-      sys.exit(1)
-
-    # make sure output directory does not overlap with root_directory
-    norm_root = os.path.split(os.path.normpath(root_directory))
-    norm_output = os.path.split(os.path.normpath(output_root_directory))
-    if norm_root == norm_output:
-      print("Output directory %r same as input directory %r" %
-            (root_directory, output_root_directory))
-      sys.exit(1)
-
-    # Collect list of files to process (we do this to correctly handle if the
-    # user puts the output directory in some sub directory of the input dir)
-    files_to_process = []
-    files_to_copy = []
-    for dir_name, _, file_list in os.walk(root_directory):
-      py_files = [f for f in file_list if f.endswith(".py")]
-      copy_files = [f for f in file_list if not f.endswith(".py")]
-      for filename in py_files:
-        fullpath = os.path.join(dir_name, filename)
-        fullpath_output = os.path.join(output_root_directory,
-                                       os.path.relpath(fullpath,
-                                                       root_directory))
-        files_to_process.append((fullpath, fullpath_output))
-      if copy_other_files:
-        for filename in copy_files:
-          fullpath = os.path.join(dir_name, filename)
-          fullpath_output = os.path.join(output_root_directory,
-                                         os.path.relpath(
-                                             fullpath, root_directory))
-          files_to_copy.append((fullpath, fullpath_output))
-
-    file_count = 0
-    tree_errors = []
-    report = ""
-    report += ("=" * 80) + "\n"
-    report += "Input tree: %r\n" % root_directory
-    report += ("=" * 80) + "\n"
-
-    for input_path, output_path in files_to_process:
-      output_directory = os.path.dirname(output_path)
-      if not os.path.isdir(output_directory):
-        os.makedirs(output_directory)
-      file_count += 1
-      _, l_report, l_errors = self.process_file(input_path, output_path)
-      tree_errors += l_errors
-      report += l_report
-    for input_path, output_path in files_to_copy:
-      output_directory = os.path.dirname(output_path)
-      if not os.path.isdir(output_directory):
-        os.makedirs(output_directory)
-      shutil.copy(input_path, output_path)
-    return file_count, report, tree_errors
-
-
-class TFAPIChangeSpec(APIChangeSpec):
+class TFAPIChangeSpec(ast_edits.APIChangeSpec):
   """List of maps that describe what changed in the API."""
 
   def __init__(self):
@@ -718,7 +238,7 @@ Simple usage:
       default="report.txt")
   args = parser.parse_args()
 
-  upgrade = ASTCodeUpgrader(TFAPIChangeSpec())
+  upgrade = ast_edits.ASTCodeUpgrader(TFAPIChangeSpec())
   report_text = None
   report_filename = args.report_filename
   files_processed = 0
diff --git a/tensorflow/tools/compatibility/tf_upgrade_test.py b/tensorflow/tools/compatibility/tf_upgrade_test.py
index 3d02eacba6..66325ea2ad 100644
--- a/tensorflow/tools/compatibility/tf_upgrade_test.py
+++ b/tensorflow/tools/compatibility/tf_upgrade_test.py
@@ -22,6 +22,7 @@ import tempfile
 import six
 from tensorflow.python.framework import test_util
 from tensorflow.python.platform import test as test_lib
+from tensorflow.tools.compatibility import ast_edits
 from tensorflow.tools.compatibility import tf_upgrade
 
 
@@ -36,7 +37,7 @@ class TestUpgrade(test_util.TensorFlowTestCase):
   def _upgrade(self, old_file_text):
     in_file = six.StringIO(old_file_text)
     out_file = six.StringIO()
-    upgrader = tf_upgrade.ASTCodeUpgrader(tf_upgrade.TFAPIChangeSpec())
+    upgrader = ast_edits.ASTCodeUpgrader(tf_upgrade.TFAPIChangeSpec())
     count, report, errors = (
         upgrader.process_opened_file("test.py", in_file,
                                      "test_out.py", out_file))
@@ -139,7 +140,7 @@ class TestUpgradeFiles(test_util.TensorFlowTestCase):
     upgraded = "tf.multiply(a, b)\n"
     temp_file.write(original)
     temp_file.close()
-    upgrader = tf_upgrade.ASTCodeUpgrader(tf_upgrade.TFAPIChangeSpec())
+    upgrader = ast_edits.ASTCodeUpgrader(tf_upgrade.TFAPIChangeSpec())
     upgrader.process_file(temp_file.name, temp_file.name)
     self.assertAllEqual(open(temp_file.name).read(), upgraded)
     os.unlink(temp_file.name)
diff --git a/tensorflow/tools/compatibility/tf_upgrade_v2.py b/tensorflow/tools/compatibility/tf_upgrade_v2.py
new file mode 100644
index 0000000000..9702430a12
--- /dev/null
+++ b/tensorflow/tools/compatibility/tf_upgrade_v2.py
@@ -0,0 +1,115 @@
+# Copyright 2018 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.
+# ==============================================================================
+"""Upgrader for Python scripts from 1.* TensorFlow to 2.0 TensorFlow."""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import argparse
+
+from tensorflow.tools.compatibility import ast_edits
+from tensorflow.tools.compatibility import renames_v2
+
+
+class TFAPIChangeSpec(ast_edits.APIChangeSpec):
+  """List of maps that describe what changed in the API."""
+
+  def __init__(self):
+    # Maps from a function name to a dictionary that describes how to
+    # map from an old argument keyword to the new argument keyword.
+    self.function_keyword_renames = {}
+
+    # Mapping from function to the new name of the function
+    self.function_renames = renames_v2.renames
+
+    # Variables that should be changed to functions.
+    self.change_to_function = {}
+
+    # Functions that were reordered should be changed to the new keyword args
+    # for safety, if positional arguments are used. If you have reversed the
+    # positional arguments yourself, this could do the wrong thing.
+    self.function_reorders = {}
+
+    # Specially handled functions.
+    self.function_handle = {}
+
+
+if __name__ == "__main__":
+  parser = argparse.ArgumentParser(
+      formatter_class=argparse.RawDescriptionHelpFormatter,
+      description="""Convert a TensorFlow Python file to 2.0
+
+Simple usage:
+  tf_convert_v2.py --infile foo.py --outfile bar.py
+  tf_convert_v2.py --intree ~/code/old --outtree ~/code/new
+""")
+  parser.add_argument(
+      "--infile",
+      dest="input_file",
+      help="If converting a single file, the name of the file "
+      "to convert")
+  parser.add_argument(
+      "--outfile",
+      dest="output_file",
+      help="If converting a single file, the output filename.")
+  parser.add_argument(
+      "--intree",
+      dest="input_tree",
+      help="If converting a whole tree of files, the directory "
+      "to read from (relative or absolute).")
+  parser.add_argument(
+      "--outtree",
+      dest="output_tree",
+      help="If converting a whole tree of files, the output "
+      "directory (relative or absolute).")
+  parser.add_argument(
+      "--copyotherfiles",
+      dest="copy_other_files",
+      help=("If converting a whole tree of files, whether to "
+            "copy the other files."),
+      type=bool,
+      default=False)
+  parser.add_argument(
+      "--reportfile",
+      dest="report_filename",
+      help=("The name of the file where the report log is "
+            "stored."
+            "(default: %(default)s)"),
+      default="report.txt")
+  args = parser.parse_args()
+
+  upgrade = ast_edits.ASTCodeUpgrader(TFAPIChangeSpec())
+  report_text = None
+  report_filename = args.report_filename
+  files_processed = 0
+  if args.input_file:
+    files_processed, report_text, errors = upgrade.process_file(
+        args.input_file, args.output_file)
+    files_processed = 1
+  elif args.input_tree:
+    files_processed, report_text, errors = upgrade.process_tree(
+        args.input_tree, args.output_tree, args.copy_other_files)
+  else:
+    parser.print_help()
+  if report_text:
+    open(report_filename, "w").write(report_text)
+    print("TensorFlow 2.0 Upgrade Script")
+    print("-----------------------------")
+    print("Converted %d files\n" % files_processed)
+    print("Detected %d errors that require attention" % len(errors))
+    print("-" * 80)
+    print("\n".join(errors))
+    print("\nMake sure to read the detailed log %r\n" % report_filename)
diff --git a/tensorflow/tools/compatibility/tf_upgrade_v2_test.py b/tensorflow/tools/compatibility/tf_upgrade_v2_test.py
new file mode 100644
index 0000000000..57ac04de06
--- /dev/null
+++ b/tensorflow/tools/compatibility/tf_upgrade_v2_test.py
@@ -0,0 +1,83 @@
+# Copyright 2018 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.
+# ==============================================================================
+"""Tests for tf 2.0 upgrader."""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+import os
+import tempfile
+import six
+from tensorflow.python.framework import test_util
+from tensorflow.python.platform import test as test_lib
+from tensorflow.tools.compatibility import ast_edits
+from tensorflow.tools.compatibility import tf_upgrade_v2
+
+
+class TestUpgrade(test_util.TensorFlowTestCase):
+  """Test various APIs that have been changed in 2.0.
+
+  We also test whether a converted file is executable. test_file_v1_10.py
+  aims to exhaustively test that API changes are convertible and actually
+  work when run with current TensorFlow.
+  """
+
+  def _upgrade(self, old_file_text):
+    in_file = six.StringIO(old_file_text)
+    out_file = six.StringIO()
+    upgrader = ast_edits.ASTCodeUpgrader(tf_upgrade_v2.TFAPIChangeSpec())
+    count, report, errors = (
+        upgrader.process_opened_file("test.py", in_file,
+                                     "test_out.py", out_file))
+    return count, report, errors, out_file.getvalue()
+
+  def testParseError(self):
+    _, report, unused_errors, unused_new_text = self._upgrade(
+        "import tensorflow as tf\na + \n")
+    self.assertTrue(report.find("Failed to parse") != -1)
+
+  def testReport(self):
+    text = "tf.acos(a)\n"
+    _, report, unused_errors, unused_new_text = self._upgrade(text)
+    # This is not a complete test, but it is a sanity test that a report
+    # is generating information.
+    self.assertTrue(report.find("Renamed function `tf.acos` to `tf.math.acos`"))
+
+  def testRename(self):
+    text = "tf.acos(a)\n"
+    _, unused_report, unused_errors, new_text = self._upgrade(text)
+    self.assertEqual(new_text, "tf.math.acos(a)\n")
+    text = "tf.rsqrt(tf.log(3.8))\n"
+    _, unused_report, unused_errors, new_text = self._upgrade(text)
+    self.assertEqual(new_text, "tf.math.rsqrt(tf.math.log(3.8))\n")
+
+
+class TestUpgradeFiles(test_util.TensorFlowTestCase):
+
+  def testInplace(self):
+    """Check to make sure we don't have a file system race."""
+    temp_file = tempfile.NamedTemporaryFile("w", delete=False)
+    original = "tf.acos(a, b)\n"
+    upgraded = "tf.math.acos(a, b)\n"
+    temp_file.write(original)
+    temp_file.close()
+    upgrader = ast_edits.ASTCodeUpgrader(tf_upgrade_v2.TFAPIChangeSpec())
+    upgrader.process_file(temp_file.name, temp_file.name)
+    self.assertAllEqual(open(temp_file.name).read(), upgraded)
+    os.unlink(temp_file.name)
+
+
+if __name__ == "__main__":
+  test_lib.main()
diff --git a/tensorflow/tools/compatibility/update/BUILD b/tensorflow/tools/compatibility/update/BUILD
new file mode 100644
index 0000000000..feb37c902e
--- /dev/null
+++ b/tensorflow/tools/compatibility/update/BUILD
@@ -0,0 +1,15 @@
+licenses(["notice"])  # Apache 2.0
+
+package(default_visibility = ["//visibility:private"])
+
+py_binary(
+    name = "generate_v2_renames_map",
+    srcs = ["generate_v2_renames_map.py"],
+    srcs_version = "PY2AND3",
+    deps = [
+        "//tensorflow:tensorflow_py",
+        "//tensorflow/python:lib",
+        "//tensorflow/tools/common:public_api",
+        "//tensorflow/tools/common:traverse",
+    ],
+)
diff --git a/tensorflow/tools/compatibility/update/generate_v2_renames_map.py b/tensorflow/tools/compatibility/update/generate_v2_renames_map.py
new file mode 100644
index 0000000000..567eceb0b6
--- /dev/null
+++ b/tensorflow/tools/compatibility/update/generate_v2_renames_map.py
@@ -0,0 +1,103 @@
+# Copyright 2018 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.
+# ==============================================================================
+# pylint: disable=line-too-long
+"""Script for updating tensorflow/tools/compatibility/renames_v2.py.
+
+To update renames_v2.py, run:
+  bazel build tensorflow/tools/compatibility/update:generate_v2_renames_map
+  bazel-bin/tensorflow/tools/compatibility/update/generate_v2_renames_map
+"""
+# pylint: enable=line-too-long
+
+import tensorflow as tf
+
+from tensorflow.python.lib.io import file_io
+from tensorflow.python.util import tf_decorator
+from tensorflow.python.util import tf_export
+from tensorflow.tools.common import public_api
+from tensorflow.tools.common import traverse
+
+
+_OUTPUT_FILE_PATH = 'third_party/tensorflow/tools/compatibility/renames_v2.py'
+_FILE_HEADER = """# Copyright 2018 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.
+# ==============================================================================
+# pylint: disable=line-too-long
+\"\"\"List of renames to apply when converting from TF 1.0 to TF 2.0.
+
+THIS FILE IS AUTOGENERATED: To update, please run:
+  bazel build tensorflow/tools/compatibility/update:generate_v2_renames_map
+  bazel-bin/tensorflow/tools/compatibility/update/generate_v2_renames_map
+This file should be updated whenever endpoints are deprecated.
+\"\"\"
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+"""
+
+
+def update_renames_v2(output_file_path):
+  """Writes a Python dictionary mapping deprecated to canonical API names.
+
+  Args:
+    output_file_path: File path to write output to. Any existing contents
+      would be replaced.
+  """
+  # Set of rename lines to write to output file in the form:
+  #   'tf.deprecated_name': 'tf.canonical_name'
+  rename_line_set = set()
+  # _tf_api_names attribute name
+  tensorflow_api_attr = tf_export.API_ATTRS[tf_export.TENSORFLOW_API_NAME].names
+
+  def visit(unused_path, unused_parent, children):
+    """Visitor that collects rename strings to add to rename_line_set."""
+    for child in children:
+      _, attr = tf_decorator.unwrap(child[1])
+      if not hasattr(attr, '__dict__'):
+        continue
+      api_names = attr.__dict__.get(tensorflow_api_attr, [])
+      deprecated_api_names = attr.__dict__.get('_tf_deprecated_api_names', [])
+      canonical_name = tf_export.get_canonical_name(
+          api_names, deprecated_api_names)
+      for name in deprecated_api_names:
+        rename_line_set.add('    \'tf.%s\': \'tf.%s\'' % (name, canonical_name))
+
+  visitor = public_api.PublicAPIVisitor(visit)
+  visitor.do_not_descend_map['tf'].append('contrib')
+  traverse.traverse(tf, visitor)
+
+  renames_file_text = '%srenames = {\n%s\n}\n' % (
+      _FILE_HEADER, ',\n'.join(sorted(rename_line_set)))
+  file_io.write_string_to_file(output_file_path, renames_file_text)
+
+
+def main(unused_argv):
+  update_renames_v2(_OUTPUT_FILE_PATH)
+
+
+if __name__ == '__main__':
+  tf.app.run(main=main)