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Diffstat (limited to 'tensorflow/python/autograph/operators/__init__.py')
| -rw-r--r-- | tensorflow/python/autograph/operators/__init__.py | 55 |
1 files changed, 55 insertions, 0 deletions
diff --git a/tensorflow/python/autograph/operators/__init__.py b/tensorflow/python/autograph/operators/__init__.py new file mode 100644 index 0000000000..0d3b44b6c4 --- /dev/null +++ b/tensorflow/python/autograph/operators/__init__.py @@ -0,0 +1,55 @@ +# 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. +# ============================================================================== +"""This module implements operators that AutoGraph overloads. + +Note that "operator" is used loosely here, and includes control structures like +conditionals and loops, implemented in functional form, using for example +closures for the body. +""" + +# Naming conventions: +# * operator names match the name usually used for the respective Python +# idiom; examples: for_stmt, list_append +# * operator arguments match either of: +# - the corresponding Python AST attribute (e.g. the condition of an if +# statement is called test) if the operator represents an AST construct +# - the names used in the Python docs, if the operator is a function (e.g. +# list_ and x for append, see +# https://docs.python.org/3.7/tutorial/datastructures.html) +# +# All operators may accept a final argument named "opts", of a type that +# subclasses namedtuple and contains any arguments that are only required +# for some specializations of the operator. + +from __future__ import absolute_import +from __future__ import division +from __future__ import print_function + +from tensorflow.python.autograph.operators.control_flow import for_stmt +from tensorflow.python.autograph.operators.control_flow import while_stmt +from tensorflow.python.autograph.operators.data_structures import list_append +from tensorflow.python.autograph.operators.data_structures import list_pop +from tensorflow.python.autograph.operators.data_structures import list_stack +from tensorflow.python.autograph.operators.data_structures import ListPopOpts +from tensorflow.python.autograph.operators.data_structures import ListStackOpts +from tensorflow.python.autograph.operators.data_structures import new_list +from tensorflow.python.autograph.operators.py_builtins import float_ +from tensorflow.python.autograph.operators.py_builtins import int_ +from tensorflow.python.autograph.operators.py_builtins import len_ +from tensorflow.python.autograph.operators.py_builtins import print_ +from tensorflow.python.autograph.operators.py_builtins import range_ +from tensorflow.python.autograph.operators.slices import get_item +from tensorflow.python.autograph.operators.slices import GetItemOpts +from tensorflow.python.autograph.operators.slices import set_item |