code: def testFloat8E4M3FNGPU(self):
      with test_util.use_gpu():
          p1 = np.random.rand(2, 3).astype(
              dtypes.float8_e4m3fn.as_numpy_dtype
          )
          p2 = np.random.rand(2, 3).astype(
              dtypes.float8_e4m3fn.as_numpy_dtype
          )
          x1 = constant_op.constant(p1)
          x2 = constant_op.constant(p2)
          c = array_ops.concat([x1, x2], 0)
          result = self.evaluate(c)
      self.assertAllEqual(result[:2, :], p1)
      self.assertAllEqual(result[2:, :], p2)
  
imports: import numpy
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the ConcatOpTest obj's underlying member method code with example usage: obj.testFloat8E4M3FNGPU() without return types