message: license header and sample usage
diff: +# 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.
  +# ==============================================================================
  """Utils for EfficientNet models for Keras.
  Write weights from ckpt file as in original repo
  (https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet)
  to h5 file for keras implementation of the models.
  +
  +Usage:
  +
  +# use checkpoint efficientnet-b0/model.ckpt (can be downloaded from
  +# https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b0.tar.gz)
  +# to update weight without top layers, saving to efficientnetb0_notop.h5
  +python efficientnet_weight_update_util.py --model b0 --notop --ckpt efficientnet-b0/model.ckpt --o efficientnetb0_notop.h5
  +
  +# use checkpoint noisy_student_efficientnet-b3/model.ckpt (providing improved result for b3, can be downloaded from
  +# https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b3.tar.gz)
  +# to update weight with top layers, saving to efficientnetb3_new.h5
  +python efficientnet_weight_update_util.py --model b0 --notop --ckpt noisy_student_efficientnet-b3/model.ckpt --o efficientnetb3_new.h5
  +
  """
  import tensorflow as tf
  