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  /external/tensorflow/tensorflow/python/ops/losses/
util.py 36 @tf_export("losses.add_loss")
37 def add_loss(loss, loss_collection=ops.GraphKeys.LOSSES):
38 """Adds a externally defined loss to the collection of losses.
48 @tf_export("losses.get_losses")
49 def get_losses(scope=None, loss_collection=ops.GraphKeys.LOSSES):
50 """Gets the list of losses from the loss_collection.
53 scope: An optional scope name for filtering the losses to return.
54 loss_collection: Optional losses collection.
62 @tf_export("losses.get_regularization_losses")
64 """Gets the list of regularization losses
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losses_impl.py 29 from tensorflow.python.ops.losses import util
34 @tf_export("losses.Reduction")
39 `NONE`: Un-reduced weighted losses with the same shape as input.
40 `SUM`: Scalar sum of weighted losses.
42 `SUM_OVER_BATCH_SIZE`: Scalar `SUM` divided by number of elements in losses.
100 def _safe_mean(losses, num_present):
101 """Computes a safe mean of the losses.
104 losses: `Tensor` whose elements contain individual loss measurements.
105 num_present: The number of measurable elements in `losses`.
108 A scalar representing the mean of `losses`. If `num_present` is zero
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  /external/tensorflow/tensorflow/contrib/gan/python/losses/python/
losses_impl.py 15 """Losses that are useful for training GANs.
17 The losses belong to two main groups, but there are others that do not:
28 All losses must be able to accept 1D or 2D Tensors, so as to be compatible with
29 patchGAN style losses (https://arxiv.org/abs/1611.07004).
31 To make these losses usable in the TFGAN framework, please create a tuple
32 version of the losses with `losses_utils.py`.
51 from tensorflow.python.ops.losses import losses
52 from tensorflow.python.ops.losses import util
74 # Wasserstein losses from `Wasserstein GAN` (https://arxiv.org/abs/1701.07875)
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  /external/tensorflow/tensorflow/contrib/kernel_methods/python/
losses.py 27 from tensorflow.python.ops.losses import losses
35 loss_collection=ops.GraphKeys.LOSSES,
36 reduction=losses.Reduction.SUM_BY_NONZERO_WEIGHTS):
134 return losses.compute_weighted_loss(
  /external/tensorflow/tensorflow/contrib/losses/python/losses/
loss_ops.py 17 Note: All the losses are added to the `GraphKeys.LOSSES` collection.
42 def _scale_losses(losses, weights):
46 losses: A `Tensor` of size [batch_size, d1, ... dN].
48 The `losses` are reduced (tf.reduce_sum) until its dimension matches
49 that of `weights` at which point the reduced `losses` are element-wise
52 `weights` to be the same size as `losses`, performing an element-wise
57 `losses`.
59 # First, compute the sum of the losses over all elements:
61 reduction_indices = list(range(start_index, losses.get_shape().ndims)
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  /prebuilts/jdk/jdk9/darwin-x86/legal/jdk.crypto.ec/
ecc.md 527 RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A
  /prebuilts/jdk/jdk9/linux-x86/legal/jdk.crypto.ec/
ecc.md 527 RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A
  /external/tensorflow/tensorflow/python/estimator/
estimator.py     [all...]
  /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/
estimator.py     [all...]
estimator_test.py     [all...]
  /external/kotlinc/
LICENSE 236 other commercial damages or losses), even if such Contributor
535 other commercial damages or losses), even if such Contributor
    [all...]
NOTICE 236 other commercial damages or losses), even if such Contributor
535 other commercial damages or losses), even if such Contributor
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  /external/tensorflow/tensorflow/python/framework/
ops.py     [all...]

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