code: def layer_configure(*args, **kwargs):
      kwargs["module"] = "trax.layers"
      return gin.external_configurable(*args, **kwargs)
  
imports: import gin
  from trax.layers.acceleration import *
  from trax.layers.activation_fns import *
  from trax.layers.assert_shape import *
  from trax.layers.attention import *
  from trax.layers.base import *
  from trax.layers.combinators import *
  from trax.layers.convolution import *
  from trax.layers.core import *
  from trax.layers.deconvolution import *
  from trax.layers.initializers import *
  from trax.layers.metrics import *
  from trax.layers.normalization import *
  from trax.layers.pooling import *
  from trax.layers.research.efficient_attention import *
  from trax.layers.research.position_encodings import *
  from trax.layers.research.rel_attention import *
  from trax.layers.research.resampling import *
  from trax.layers.research.rotary_positional_embedding import *
  from trax.layers.research.sparsity import *
  from trax.layers.reversible import *
  from trax.layers.rnn import *
label_desc: Use image node_id 1 for calling a global function with example usage: layer_configure() and returns: gin