old_contents: # Weights layers
  
  
  from .cauchysimilarity import CauchySimilarity
  from .dropout import Dropout
  from .embed import Embed
  from .expand_window import expand_window
  from .featureextractor import FeatureExtractor
  from .hashembed import HashEmbed
  from .layernorm import LayerNorm
  from .linear import Linear
  from .logistic import Logistic
  from .maxout import Maxout
  from .mish import Mish
  from .multisoftmax import MultiSoftmax
  from .parametricattention import ParametricAttention
  from .pytorchwrapper import PyTorchWrapper, PyTorchRNNWrapper
  from .relu import ReLu
  from .softmax import Softmax
  from .sparselinear import SparseLinear
  from .staticvectors import StaticVectors
  from .lstm import LSTM, PyTorchLSTM
  from .tensorflowwrapper import TensorFlowWrapper
  
  # Combinators
  from .add_module import add
  from .bidirectional import bidirectional
  from .chain_module import chain
  from .clone import clone
  from .concatenate import concatenate
  from .noop import noop
  from .recurrent import recurrent
  from .residual import residual
  from .uniqued import uniqued
  from .siamese import siamese
  
  # Pooling
  from .reduce_max import reduce_max
  from .reduce_mean import reduce_mean
  from .reduce_sum import reduce_sum
  
  # Data-type transfers
  from .list2array import list2array
  from .list2ragged import list2ragged
  from .list2padded import list2padded
  from .ragged2list import ragged2list
  from .padded2list import padded2list
  from .remap_ids import remap_ids
  from .strings2arrays import strings2arrays
  from .with_array import with_array
  from .with_padded import with_padded
  from .with_list import with_list
  from .with_ragged import with_ragged
  from .with_reshape import with_reshape
  from .with_getitem import with_getitem
  
  
  __all__ = [
      "CauchySimilarity",
      "Linear",
      "Dropout",
      "Embed",
      "expand_window",
      "HashEmbed",
      "LayerNorm",
      "Maxout",
      "Mish",
      "MultiSoftmax",
      "ParametricAttention",
      "PyTorchWrapper",
      "PyTorchRNNWrapper",
      "ReLu",
      "Softmax",
      "SparseLinear",
      "StaticVectors",
      "LSTM",
      "PyTorchLSTM",
      "TensorFlowWrapper",
      "add",
      "bidirectional",
      "chain",
      "clone",
      "concatenate",
      "noop",
      "recurrent",
      "residual",
      "uniqued",
      "siamese",
      "reduce_max",
      "reduce_mean",
      "reduce_sum",
      "list2array",
      "list2ragged",
      "list2padded",
      "ragged2list",
      "padded2list",
      "with_reshape",
      "with_getitem",
      "with_array",
      "with_list",
      "with_ragged",
      "with_padded",
  ]
  
new_contents: # Weights layers
  
  
  from .cauchysimilarity import CauchySimilarity
  from .dropout import Dropout
  from .embed import Embed
  from .expand_window import expand_window
  from .featureextractor import FeatureExtractor
  from .hashembed import HashEmbed
  from .layernorm import LayerNorm
  from .linear import Linear
  from .logistic import Logistic
  from .maxout import Maxout
  from .mish import Mish
  from .multisoftmax import MultiSoftmax
  from .parametricattention import ParametricAttention
  from .pytorchwrapper import PyTorchWrapper, PyTorchRNNWrapper
  from .relu import ReLu
  from .softmax import Softmax
  from .sparselinear import SparseLinear
  from .staticvectors import StaticVectors
  from .lstm import LSTM, PyTorchLSTM
  from .tensorflowwrapper import TensorFlowWrapper
  
  # Combinators
  from .add_module import add
  from .bidirectional import bidirectional
  from .chain_module import chain
  from .clone import clone
  from .concatenate import concatenate
  from .noop import noop
  from .recurrent import recurrent
  from .residual import residual
  from .uniqued import uniqued
  from .siamese import siamese
  
  # Pooling
  from .reduce_max import reduce_max
  from .reduce_mean import reduce_mean
  from .reduce_sum import reduce_sum
  
  # Data-type transfers
  from .list2array import list2array
  from .list2ragged import list2ragged
  from .list2padded import list2padded
  from .ragged2list import ragged2list
  from .padded2list import padded2list
  from .remap_ids import remap_ids
  from .strings2arrays import strings2arrays
  from .with_array import with_array
  from .with_padded import with_padded
  from .with_list import with_list
  from .with_ragged import with_ragged
  from .with_reshape import with_reshape
  from .with_getitem import with_getitem
  
  
  __all__ = [
      "CauchySimilarity",
      "Linear",
      "Dropout",
      "Embed",
      "expand_window",
      "HashEmbed",
      "LayerNorm",
      "Maxout",
      "Mish",
      "MultiSoftmax",
      "ParametricAttention",
      "PyTorchWrapper",
      "PyTorchRNNWrapper",
      "ReLu",
      "Softmax",
      "SparseLinear",
      "StaticVectors",
      "LSTM",
      "PyTorchLSTM",
      "TensorFlowWrapper",
      "add",
      "bidirectional",
      "chain",
      "clone",
      "concatenate",
      "noop",
      "recurrent",
      "residual",
      "uniqued",
      "siamese",
      "reduce_max",
      "reduce_mean",
      "reduce_sum",
      "list2array",
      "list2ragged",
      "list2padded",
      "ragged2list",
      "padded2list",
      "with_reshape",
      "with_getitem",
      "with_array",
      "with_list",
      "with_ragged",
      "with_padded",
      "remap_ids",
  ]
  
subject: Add remap_ids to __all__ [ci skip]