*/
  public static <T extends @Nullable Object> Iterable<T> concat(
      Iterable<? extends Iterable<? extends T>> inputs) {
    return FluentIterable.concat(inputs);
  }

  /**
   * Divides an iterable into unmodifiable sublists of the given size (the final iterable may be
   * smaller). For example, partitioning an iterable containing {@code [a, b, c, d, e]} with a

	DIVDUVCC R3, R4, R5             // 7ca41f93
	DIVWUVCC R3, R4, R5             // 7ca41f97
	DIVWUV   R3, R4, R5             // 7ca41f96
	DIVDE R3, R4, R5                // 7ca41b52
	DIVDECC R3, R4, R5              // 7ca41b53
	DIVDEU R3, R4, R5               // 7ca41b12
	DIVDEUCC R3, R4, R5             // 7ca41b13

	REM R3, R4, R5                  // 7fe41bd67fff19d67cbf2050

int16                  -32768
int32             -2147483648
int64    -9223372036854775808
</pre>

<p>
If the divisor is a <a href="#Constants">constant</a>, it must not be zero.
If the divisor is zero at run time, a <a href="#Run_time_panics">run-time panic</a> occurs.
If the dividend is non-negative and the divisor is a constant power of 2,
the division may be replaced by a right shift, and computing the remainder may

        passed to the optimizer but the reported loss will be a scalar value.
    *   `SUM`: Scalar sum of weighted losses. 4. `SUM_OVER_BATCH_SIZE`: Scalar
        `SUM` divided by number of elements in losses. This reduction type is
        not supported when used with `tf.distribute.Strategy` outside of
        built-in training loops like `tf.keras` `compile`/`fit`.