code: def outer_numpy(o, x, y, xIdx, yIdx):
      for b in range(x.shape[0]):
          for i in range(xIdx.shape[1]):
              for j in range(yIdx.shape[1]):
                  o[xIdx[b, i], yIdx[b, j]] += np.outer(
                      x[b, i, :], y[b, j, :]
                  )
      return o
  
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 7 for calling the BlockSparse_Gemv_and_Outer obj's underlying member method code with example usage: obj.outer_numpy(o, x, y, xIdx, yIdx) and returns: o