code: def test_solve_dtype(self):
      if not imported_scipy:
          raise SkipTest("Scipy needed for the Solve op.")
  
      dtypes = [
          "uint8",
          "uint16",
          "uint32",
          "uint64",
          "int8",
          "int16",
          "int32",
          "int64",
          "float16",
          "float32",
          "float64",
      ]
  
      A_val = np.eye(2)
      b_val = np.ones((2, 1))
  
      # try all dtype combinations
      for A_dtype, b_dtype in itertools.product(dtypes, dtypes):
          A = tensor.matrix(dtype=A_dtype)
          b = tensor.matrix(dtype=b_dtype)
          x = solve(A, b)
          fn = function([A, b], x)
          x_result = fn(A_val.astype(A_dtype), b_val.astype(b_dtype))
  
          assert x.dtype == x_result.dtype
  
imports: from __future__ import absolute_import, print_function, division
  import unittest
  import numpy
  import numpy.linalg
  from numpy.testing import assert_array_almost_equal
  from numpy.testing import dec, assert_array_equal, assert_allclose
  from numpy import inf
  import itertools
  import theano
  from theano import tensor, function, grad
  from theano.tensor.basic import _allclose
  from theano.tests.test_rop import break_op
  from theano.tests import unittest_tools
  from theano import config
  from theano.tensor.slinalg import Cholesky, cholesky, CholeskyGrad, Solve, solve, Eigvalsh, EigvalshGrad, eigvalsh, expm, kron
  from theano.tests.unittest_tools import attr
  from nose.plugins.skip import SkipTest
  from nose.tools import assert_raises
label_desc: Use image node_id 4 for calling the test_Solve obj's underlying member method code with example usage: obj.test_solve_dtype() without return types