code: def test_layer_container(backend_default, test_args, deltas_buffer):
      (
          indim,
          nifm,
          fshape,
          nofm,
          batch_size,
          stride,
          pad,
          init_unif,
      ) = test_args
      in_shape = indim
      containerTest = LayerTest(
          Sequential(
              [
                  Linear(nout=indim, init=init_unif),
                  Linear(nout=indim, init=init_unif),
              ]
          ),
          in_shape,
          batch_size,
          deltas_buffer,
      )
      containerTest.test(["dW"])
  
imports: from utils import tensors_allclose, allclose_with_out
  import numpy
  import pytest
  from neon import NervanaObject
  from neon.initializers.initializer import Uniform
  from neon.layers.layer import Convolution, Deconvolution, Layer, Linear, Bias, BatchNorm
  from neon.layers.container import Sequential
label_desc: Use image node_id 15 for calling a global function with example usage: test_layer_container(backend_default, test_args, deltas_buffer) without return types