# Path: morph_net/testing/op_regularizer_stub.py
# class OpRegularizerStub(generic_regularizers.OpRegularizer):
# class OpRegularizerStubFactory(object):
#   def __init__(self, regularization_vector, alive_vector):
#   def regularization_vector(self):
#   def alive_vector(self):
#   def __init__(self, alive_stub_dict, reg_stub_dict):
#   def _create_stub(self, key):
#   def create_conv2d_regularizer(self, conv_op, manager=None):
# def image_stub():


from morph_net.testing import op_regularizer_stub
from tensorflow.contrib import layers as contrib_layers
import tensorflow.compat.v1 as tf
# 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.
# ==============================================================================
r"""A model stub with residual connections and spatial upscaling.

Model:

              -> ----------
             /            |
              -> conv2--(add)---                   -------------
            /                   |                  |           |
image--conv1                     --(add)-> upscale -> conv4--(add) --> output
            \                   |

# Path: morph_net/testing/op_regularizer_stub.py
# class OpRegularizerStub(generic_regularizers.OpRegularizer):
# class OpRegularizerStubFactory(object):
#   def __init__(self, regularization_vector, alive_vector):
#   def regularization_vector(self):
#   def alive_vector(self):
#   def __init__(self, alive_stub_dict, reg_stub_dict):
#   def _create_stub(self, key):
#   def create_conv2d_regularizer(self, conv_op, manager=None):
# def image_stub():


# Path: morph_net/testing/ladder_model_stub.py
from morph_net.testing import op_regularizer_stub
from tensorflow.contrib import layers as contrib_layers
import tensorflow.compat.v1 as tf

# 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.
# ==============================================================================
r"""A model stub with residual connections and spatial upscaling.

Model:

              -> ----------
             /            |
              -> conv2--(add)---                   -------------
            /                   |                  |           |
image--conv1                     --(add)-> upscale -> conv4--(add) --> output
            \                   |

              -> conv3--(add)---