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authorGravatar Charles Nicholson <nicholsonc@google.com>2017-04-21 10:59:14 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-04-21 12:09:42 -0700
commit8e5041918f2e709ded94e63fb1779d6bb363becb (patch)
tree5ec03d51d2e15b1247b68298b2ccd9138075513e /tensorflow/python/__init__.py
parentc3bf39b7a6c3cc41f209ac863c764498b503d4f5 (diff)
Introduce TFDecorator, a base class for Python TensorFlow decorators. Provides basic introspection and "unwrap" services, allowing tooling code to fully 'understand' the wrapped object.
Change: 153854044
Diffstat (limited to 'tensorflow/python/__init__.py')
-rw-r--r--tensorflow/python/__init__.py4
1 files changed, 1 insertions, 3 deletions
diff --git a/tensorflow/python/__init__.py b/tensorflow/python/__init__.py
index d2945adf75..864a96ef34 100644
--- a/tensorflow/python/__init__.py
+++ b/tensorflow/python/__init__.py
@@ -26,11 +26,9 @@ import tensorflow as tf
import ctypes
import importlib
-import inspect
import sys
import traceback
-
# TODO(drpng): write up instructions for editing this file in a doc and point to
# the doc instead.
# If you want to edit this file to expose modules in public tensorflow API, you
@@ -170,7 +168,7 @@ _allowed_symbols.extend([
'parse_single_sequence_example',
'serialize_many_sparse',
'serialize_sparse',
- 'sparse_matmul', ## use tf.matmul instead.
+ 'sparse_matmul', ## use tf.matmul instead.
])
# This is needed temporarily because we import it explicitly.