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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.
# ==============================================================================
"""Entropy coder model."""
class EntropyCoderModel(object):
"""Entropy coder model."""
def __init__(self):
# Loss used for training the model.
self.loss = None
# Tensorflow op to run to train the model.
self.train_op = None
# Tensor corresponding to the average code length of the input bit field
# tensor. The average code length is a number of output bits per input bit.
# To get an effective compression, this number should be between 0.0
# and 1.0 (1.0 corresponds to no compression).
self.average_code_length = None
def Initialize(self, global_step, optimizer, config_string):
raise NotImplementedError()
def BuildGraph(self, input_codes):
"""Build the Tensorflow graph corresponding to the entropy coder model.
Args:
input_codes: Tensor of size: batch_size x height x width x bit_depth
corresponding to the codes to compress.
The input codes are {-1, +1} codes.
"""
# TODO:
# - consider switching to {0, 1} codes.
# - consider passing an extra tensor which gives for each (b, y, x)
# what is the actual depth (which would allow to use more or less bits
# for each (y, x) location.
raise NotImplementedError()
def GetConfigStringForUnitTest(self):
"""Returns a default model configuration to be used for unit tests."""
return None
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