text: # coding=utf-8
  # Copyright 2019 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.
  
  """Layers defined in trax."""
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import gin
  # We create a flat layers.* namespace for uniform calling conventions as we
  # upstream changes.
  # pylint: disable=wildcard-import
  from tensor2tensor.trax.layers.attention import *
  from tensor2tensor.trax.layers.base import *
  from tensor2tensor.trax.layers.combinators import *
  from tensor2tensor.trax.layers.convolution import *
  from tensor2tensor.trax.layers.core import *
  from tensor2tensor.trax.layers.initializers import *
  from tensor2tensor.trax.layers.normalization import *
  from tensor2tensor.trax.layers.pooling import *
  from tensor2tensor.trax.layers.reversible import *
  from tensor2tensor.trax.layers.rnn import *
  
  
  # Ginify
  def layer_configure(*args, **kwargs):
    kwargs["module"] = "trax.layers"
    return gin.external_configurable(*args, **kwargs)
  
  # pylint: disable=used-before-assignment
  # pylint: disable=invalid-name
  Relu = layer_configure(Relu)
  Sigmoid = layer_configure(Sigmoid)
  Tanh = layer_configure(Tanh)
  HardSigmoid = layer_configure(HardSigmoid)
  HardTanh = layer_configure(HardTanh)
  Exp = layer_configure(Exp)
  LogSoftmax = layer_configure(LogSoftmax)
  Softmax = layer_configure(Softmax)
  Softplus = layer_configure(Softplus)
  
  DotProductCausalAttention = layer_configure(
      DotProductCausalAttention, blacklist=["mode"])
  MemoryEfficientCausalAttention = layer_configure(
      MemoryEfficientCausalAttention, blacklist=["mode"])
  MergedHashedCausalAttention = layer_configure(
      MergedHashedCausalAttention, blacklist=["mode"])
  