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# 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.
# ==============================================================================
"""Imperative mode for TensorFlow."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow import * # pylint: disable=wildcard-import
from tensorflow.contrib.imperative import imperative_mode
class _InteractiveMode(object):
"""Imperative mode suitable for interactive execution.
This module has a global _InteractiveMode object that enables
writing code as follows:
```python
import tensorflow.contrib.imperative as tf
print(tf.constant(42))
```
"""
def __init__(self, target=None):
if not target:
target = train.Server.create_local_server().target
self.target = target
self.imperative_mode = imperative_mode.ImperativeMode(self.target)
self.imperative_mode.__enter__()
def new_step(self):
return self.imperative_mode.new_step()
_default_interactive_mode = _InteractiveMode()
def new_step():
return _default_interactive_mode.new_step()
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