message: Update losses.py
  Casting the zero explicitly to y_pred dtype in categorical hinge.
diff: @@ -1414,7 +1414,8 @@ def categorical_hinge(y_true, y_pred):
  y_true = math_ops.cast(y_true, y_pred.dtype)
  pos = math_ops.reduce_sum(y_true * y_pred, axis=-1)
  neg = math_ops.reduce_max((1. - y_true) * y_pred, axis=-1)
  - return math_ops.maximum(neg - pos + 1., 0.)
  + zero = tf.cast(0.,y_pred.dtype)
  + return math_ops.maximum(neg - pos + 1.,zero)
  @keras_export('keras.losses.huber', v1=[])
  