text: # coding=utf-8
  # Copyright 2021 The Tensor2Tensor Authors.
  #
  # 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.
  
  """Models defined in T2T. Imports here force registration."""
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import six
  
  # pylint: disable=unused-import
  
  from tensor2tensor.layers import modalities  # pylint: disable=g-import-not-at-top
  from tensor2tensor.models import basic
  from tensor2tensor.models import bytenet
  from tensor2tensor.models import distillation
  from tensor2tensor.models import evolved_transformer
  from tensor2tensor.models import image_transformer
  from tensor2tensor.models import image_transformer_2d
  from tensor2tensor.models import lstm
  from tensor2tensor.models import neural_assistant
  from tensor2tensor.models import neural_gpu
  from tensor2tensor.models import resnet
  from tensor2tensor.models import revnet
  from tensor2tensor.models import shake_shake
  from tensor2tensor.models import slicenet
  from tensor2tensor.models import text_cnn
  from tensor2tensor.models import transformer
  from tensor2tensor.models import vanilla_gan
  from tensor2tensor.models import xception
  from tensor2tensor.models.neural_architecture_search import nas_model
  from tensor2tensor.models.research import adafactor_experiments
  from tensor2tensor.models.research import aligned
  from tensor2tensor.models.research import autoencoders
  from tensor2tensor.models.research import cycle_gan
  from tensor2tensor.models.research import gene_expression
  from tensor2tensor.models.research import neural_stack
  from tensor2tensor.models.research import residual_shuffle_exchange
  from tensor2tensor.models.research import rl
  from tensor2tensor.models.research import shuffle_network
  from tensor2tensor.models.research import similarity_transformer
  from tensor2tensor.models.research import super_lm
  from tensor2tensor.models.research import transformer_moe
  from tensor2tensor.models.research import transformer_nat
  from tensor2tensor.models.research import transformer_parallel
  from tensor2tensor.models.research import transformer_revnet
  from tensor2tensor.models.research import transformer_seq2edits
  from tensor2tensor.models.research import transformer_sketch
  from tensor2tensor.models.research import transformer_symshard
  from tensor2tensor.models.research import transformer_vae
  from tensor2tensor.models.research import universal_transformer
  from tensor2tensor.models.video import basic_deterministic
  from tensor2tensor.models.video import basic_recurrent
  from tensor2tensor.models.video import basic_stochastic
  from tensor2tensor.models.video import emily
  from tensor2tensor.models.video import savp
  from tensor2tensor.models.video import sv2p
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  
  # The following models can't be imported under TF2
  if not contrib.is_tf2:
    # pylint: disable=g-import-not-at-top
    from tensor2tensor.models.research import attention_lm
    from tensor2tensor.models.research import attention_lm_moe
    from tensor2tensor.models.research import glow
    from tensor2tensor.models.research import lm_experiments
    from tensor2tensor.models.research import moe_experiments
    from tensor2tensor.models.research import multiquery_paper
    from tensor2tensor.models import mtf_image_transformer
    from tensor2tensor.models import mtf_resnet
    from tensor2tensor.models import mtf_transformer
    from tensor2tensor.models import mtf_transformer2
    from tensor2tensor.models.research import vqa_attention
    from tensor2tensor.models.research import vqa_recurrent_self_attention
    from tensor2tensor.models.research import vqa_self_attention
    from tensor2tensor.models.video import epva
    from tensor2tensor.models.video import next_frame_glow
    # pylint: enable=g-import-not-at-top
  
  # pylint: disable=unused-import
  
  # pylint: enable=unused-import
  
  
  def model(name):
    return registry.model(name)
  