message: Discard some unneccessary logging commands.
diff: @@ -27,7 +27,6 @@ from tensorflow.python.ops import nn
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import weights_broadcast_ops
  from tensorflow.python.ops.losses import util
  -from tensorflow.python.platform import tf_logging as logging
  class Reduction(object):
  @@ -614,9 +613,7 @@ def sigmoid_cross_entropy(
  with ops.name_scope(scope, "sigmoid_cross_entropy_loss",
  (logits, multi_class_labels, weights)) as scope:
  logits = ops.convert_to_tensor(logits)
  - logging.info("logits.dtype=%s.", logits.dtype)
  multi_class_labels = math_ops.cast(multi_class_labels, logits.dtype)
  - logging.info("multi_class_labels.dtype=%s.", multi_class_labels.dtype)
  logits.get_shape().assert_is_compatible_with(multi_class_labels.get_shape())
  if label_smoothing > 0:
  @@ -626,7 +623,6 @@ def sigmoid_cross_entropy(
  losses = nn.sigmoid_cross_entropy_with_logits(labels=multi_class_labels,
  logits=logits,
  name="xentropy")
  - logging.info("losses.dtype=%s.", losses.dtype)
  return compute_weighted_loss(
  losses, weights, scope, loss_collection, reduction=reduction)
  