experiments/STT-tensorflow
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Discard some unneccessary logging commands.

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PiperOrigin-RevId: 168500721
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A. Unique TensorFlower 2017-09-12 23:46:18 -07:00 committed by TensorFlower Gardener
parent 83cbabb85c
commit d10374e458
1 changed files with 0 additions and 4 deletions
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tensorflow/python/ops/losses/losses_impl.py
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@ -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)