code: def test_outer_infershape(self):
      o = tensor.ftensor4()
      x = tensor.ftensor3()
      y = tensor.ftensor3()
      xIdx = tensor.imatrix()
      yIdx = tensor.imatrix()
  
      self._compile_and_check(
          [o, x, y, xIdx, yIdx],
          [self.outer_op(o, x, y, xIdx, yIdx)],
          self.outer_data(),
          self.outer_class,
      )
  
imports: from __future__ import absolute_import, print_function, division
  import numpy
  from numpy.random import randn
  import theano
  from theano import tensor
  import theano.tests.unittest_tools
  from theano.tensor.nnet.blocksparse import sparse_block_dot, sparse_block_gemv, sparse_block_outer, SparseBlockGemv, SparseBlockOuter
label_desc: Use image node_id 17 for calling the BlockSparse_Gemv_and_Outer obj's underlying member method code with example usage: obj.test_outer_infershape() without return types