Method testErrorBasedOn

tensorflow/python/client/session_test.py:195–210

(self)

        s.partial_run('foo', r1, feed_dict={a: 1, b: 2})

  def testErrorBasedOn(self):
    with session.Session() as sess:
      a = constant_op.constant(0.0, shape=[2, 3])
      # NOTE(mrry): The original_op is nonsense, but used here to test that the
      #   errors are reported correctly.
      with sess.graph._original_op(a.op):
        b = array_ops.identity(a, name='id')
      with sess.graph._original_op(b.op):
        c = array_ops.placeholder(dtypes.float32)

      def exc_predicate(e):
        return (e.op == c.op and e.op._original_op == b.op and
                e.op._original_op._original_op == a.op)

      with self.assertRaisesOpError(exc_predicate):
        c.eval()

  def testFetchNone(self):
    with session.Session() as s: