code: def test_bias_acc_on(backend_default, test_args, deltas_buffer):
      (
          indim,
          nifm,
          fshape,
          nofm,
          batch_size,
          stride,
          pad,
          init_unif,
      ) = test_args
      layer = Bias(init=init_unif)
      in_shape = (indim, batch_size)
      testLayer = LayerTest(layer, in_shape, batch_size, deltas_buffer)
      testLayer.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 13 for calling a global function with example usage: test_bias_acc_on(backend_default, test_args, deltas_buffer) without return types