code: def setUp(self):
      self.mode = mode_with_gpu
      dtype = (
          self.dtype
      ) = "float32"  # optimization isn't dtype-dependent
      self.A = tensor.tensor(dtype=dtype, broadcastable=(False, False))
      self.a = tensor.tensor(dtype=dtype, broadcastable=())
      self.x = tensor.tensor(dtype=dtype, broadcastable=(False,))
      self.y = tensor.tensor(dtype=dtype, broadcastable=(False,))
      self.ger_destructive = gpuger_inplace
  
      # data on the gpu make the op always inplace
      self.ger = gpuger_inplace
      self.gemm = gpugemm_inplace
  
imports: from __future__ import absolute_import, print_function, division
  from unittest import TestCase
  from nose.plugins.skip import SkipTest
  import itertools
  import numpy
  import theano
  from theano import config
  from theano import tensor
  from theano.tests import unittest_tools
  from theano.tensor.blas import gemv, gemv_inplace, gemm_inplace, _dot22, batched_dot
  from theano.tensor.tests.test_blas import TestGer, BaseGemv
  from ..None import gpuarray_shared_constructor
  from .config import mode_with_gpu, test_ctx_name
  from .test_basic_ops import makeTester, rand
  from ..blas import gpugemv_inplace, gpugemv_no_inplace, gpugemm_inplace, gpugemm_no_inplace, gpugemmbatch_inplace, gpuger_inplace, gpuger_no_inplace, GpuGer, GpuGemm, gpu_dot22
label_desc: Use image node_id 1 for calling the TestGpuSger obj's underlying member method code with example usage: obj.setUp() without return types