if cccB == 0 {
				s = k - 1
			} else {
				blocked = s != k-1 && cccB >= cccC
			}
			if !blocked {
				combined := combine(rb.runeAt(s), rb.runeAt(i))
				if combined != 0 {
					rb.assignRune(s, combined)
					continue
				}
			}
		}
		b[k] = b[i]
		k++
	}
	rb.nrune = k

    strategy_combinations.one_device_strategy_gpu,
    strategy_combinations.tpu_strategy,
]


class MnistTrainTest(test_util.TensorFlowTestCase, parameterized.TestCase):

  @combinations.generate(combinations.combine(strategy=strategies))
  def testMnistTrain(self, strategy):
    accuracy = mnist_train.main(strategy)
    self.assertGreater(accuracy, 0.7, 'accuracy sanity check')


if __name__ == '__main__':

  /// Equality operator.
  bool operator==(const None& other) const { return true; }

  /// Overload AbslHashValue.
  template <typename H>
  friend H AbslHashValue(H h, const None& n) {
    return H::combine(std::move(h), 34559);
  }

 private:
  // Private contructor.
  None() {}
};

// Defined in iostream.cc.
std::ostream& operator<<(std::ostream& o, const None& none);

}  // namespace impl

INSTANTIATE_TEST_SUITE_P(
    UnifiedCAPI, CppGradients,
    ::testing::Combine(::testing::Values("graphdef", "mlir"),
                       /*tfrt*/ ::testing::Values(false),
                       /*executing_eagerly*/ ::testing::Values(true, false)));
#else
INSTANTIATE_TEST_SUITE_P(
    UnifiedCAPI, CppGradients,
    ::testing::Combine(::testing::Values("graphdef", "mlir"),

images=()
for arch in "${__arches__[@]}"; do
    image="${registry}-${arch}"
    kind build node-image --image="${image}" --arch="${arch}" "${kdir}"
    images+=("${image}")
done

# combine to manifest list tagged with kubernetes version
export DOCKER_CLI_EXPERIMENTAL=enabled
# images must be pushed to be referenced by docker manifest
# we push only after all builds have succeeded
for image in "${images[@]}"; do

    return dtype == o.dtype && shape.IsIdenticalTo(o.shape);
  }

  /// Overload AbslHashValue to make TensorSpec hashable.
  template <typename H>
  friend H AbslHashValue(H h, const TensorSpec& t) {
    return H::combine(std::move(h), t.shape.DebugString(), t.dtype);
  }
};

// Defined in `iostream.cc`.
std::ostream& operator<<(std::ostream& o, const TensorSpec& x);

}  // namespace impl
}  // namespace libtf

#     ci/official/wheel.sh
#   TFCI: The env config path, relative to the TF root dir, e.g.
#     ci/official/envs/an_env_config
#
# Note that you can combine bisect.sh with any.sh to bisect a single test:
#
#   export TFCI=...
#   export TF_BISECT_SCRIPT=ci/official/any.sh
#   export TF_BISECT_GOOD=a_good_commit_sha
#   export TF_BISECT_BAD=a_failing_commit_sha

INSTANTIATE_TEST_SUITE_P(
    UnifiedCAPI, GradientCheckerTest,
    ::testing::Combine(::testing::Values("graphdef"),
                       /*tfrt*/ ::testing::Values(false),
                       /*use_function*/ ::testing::Values(true, false)));
#else
INSTANTIATE_TEST_SUITE_P(
    UnifiedCAPI, GradientCheckerTest,
    ::testing::Combine(::testing::Values("graphdef"),
                       /*tfrt*/ ::testing::Values(false),

      <plugin>
        <groupId>org.apache.maven.its.plugins</groupId>
        <artifactId>maven-it-plugin-configuration</artifactId>
        <version>2.1-SNAPSHOT</version>
        <configuration>
          <stringParams combine.children="append">
            <stringParam>  childParam  </stringParam>
            <stringParam xml:space="preserve">  preserve space  </stringParam>
          </stringParams>
        </configuration>
      </plugin>

			if cccB == 0 {
				s = k - 1
			} else {
				blocked = s != k-1 && cccB >= cccC
			}
			if !blocked {
				combined := combine(rb.runeAt(s), rb.runeAt(i))
				if combined != 0 {
					rb.assignRune(s, combined)
					continue
				}
			}
		}
		b[k] = b[i]
		k++
	}
	rb.nrune = k