code: def check_x(self, a_shape, b_shape, dtype):
      a_cpu = numpy.random.randint(1, 10, size=a_shape).astype(dtype)
      b_cpu = numpy.random.randint(1, 10, size=b_shape).astype(dtype)
      a_cpu = numpy.tril(a_cpu)
  
      if self.lower is False:
          a_cpu = a_cpu.T
      if self.unit_diagonal is True:
          numpy.fill_diagonal(a_cpu, 1)
  
      a_gpu = cupy.asarray(a_cpu)
      b_gpu = cupy.asarray(b_cpu)
      a_gpu_copy = a_gpu.copy()
      b_gpu_copy = b_gpu.copy()
      result_cpu = scipy.linalg.solve_triangular(
          a_cpu,
          b_cpu,
          trans=self.trans,
          lower=self.lower,
          unit_diagonal=self.unit_diagonal,
          overwrite_b=self.overwrite_b,
          check_finite=self.check_finite,
      )
      result_gpu = cupyx.scipy.linalg.solve_triangular(
          a_gpu,
          b_gpu,
          trans=self.trans,
          lower=self.lower,
          unit_diagonal=self.unit_diagonal,
          overwrite_b=self.overwrite_b,
          check_finite=self.check_finite,
      )
      assert result_cpu.dtype == result_gpu.dtype
      cupy.testing.assert_allclose(result_cpu, result_gpu, atol=1e-3)
      cupy.testing.assert_array_equal(a_gpu_copy, a_gpu)
      if not self.overwrite_b:
          cupy.testing.assert_array_equal(b_gpu_copy, b_gpu)
  
file_path: cupy/tests/cupyx_tests/scipy_tests/linalg_tests/test_solve_triangular.py
imports: import unittest
  import cupy
  from cupy import testing
  import cupyx.scipy.linalg
  import numpy
  import pytest
label_desc: Use image node_id 1 for calling the TestSolveTriangular obj's underlying member method code with example usage: obj.check_x(a_shape, b_shape, dtype) without return types