model = FloatModel()
    optimizer = tf.keras.optimizers.Adam(learning_rate=learning_rate)

  def train_step(features):
    inputs = tf.image.convert_image_dtype(
        features['image'], dtype=tf.float32, saturate=False)
    labels = tf.one_hot(features['label'], num_classes)

    with tf.GradientTape() as tape:
      logits = model(inputs)
      loss_value = tf.reduce_mean(

Do *not* use the MinIO Grid for:

* Large payloads.

Only a single connection is ever made between two servers.
Likely this means that this connection will not be able to saturate network bandwidth.
Therefore, using this for large payloads will likely be slower than using a separate connection,
and other connections will be blocked while the large payload is being sent.

## Handlers & Routes

final class Internal {

  /**
   * Returns the number of nanoseconds of the given duration without throwing or overflowing.
   *
   * <p>Instead of throwing {@link ArithmeticException}, this method silently saturates to either
   * {@link Long#MAX_VALUE} or {@link Long#MIN_VALUE}. This behavior can be useful when decomposing
   * a duration in order to call a legacy API which requires a {@code long, TimeUnit} pair.
   */

final class Internal {

  /**
   * Returns the number of nanoseconds of the given duration without throwing or overflowing.
   *
   * <p>Instead of throwing {@link ArithmeticException}, this method silently saturates to either
   * {@link Long#MAX_VALUE} or {@link Long#MIN_VALUE}. This behavior can be useful when decomposing
   * a duration in order to call a legacy API which requires a {@code long, TimeUnit} pair.
   */

final class Internal {

  /**
   * Returns the number of nanoseconds of the given duration without throwing or overflowing.
   *
   * <p>Instead of throwing {@link ArithmeticException}, this method silently saturates to either
   * {@link Long#MAX_VALUE} or {@link Long#MIN_VALUE}. This behavior can be useful when decomposing
   * a duration in order to call a legacy API which requires a {@code long, TimeUnit} pair.
   */

	}

	// Tidy aims to make 'go test' reproducible for any package in 'all', so we
	// need to include test dependencies. For modules that specify go 1.15 or
	// earlier this is a no-op (because 'all' saturates transitive test
	// dependencies).
	//
	// However, with lazy loading (go 1.16+) 'all' includes only the packages that
	// are transitively imported by the main module, not the test dependencies of

	h := newMACGeneric(key)
	h.Write(msg)
	h.Sum(out)
}

func newMACGeneric(key *[32]byte) macGeneric {
	m := macGeneric{}
	initialize(key, &m.macState)
	return m
}

// macState holds numbers in saturated 64-bit little-endian limbs. That is,
// the value of [x0, x1, x2] is x[0] + x[1] * 2⁶⁴ + x[2] * 2¹²⁸.
type macState struct {
	// h is the main accumulator. It is to be interpreted modulo 2¹³⁰ - 5, but