code: def test_get_output_for_p_float16(self, input_layer):
      from lasagne.layers.noise import DropoutLayer
  
      layer = DropoutLayer(input_layer, p=numpy.float16(0.5))
      input = theano.shared(numpy.ones((100, 100), dtype=numpy.float16))
      assert layer.get_output_for(input).dtype == input.dtype
  
imports: from mock import Mock
  import numpy
  import numpy
  from numpy.random import RandomState
  import theano
  import pytest
  from lasagne.random import get_rng, set_rng
label_desc: Use image node_id 11 for calling the TestDropoutLayer obj's underlying member method code with example usage: obj.test_get_output_for_p_float16(input_layer) without return types