tf.compat.v1.losses.Reduction

Types of loss reduction.

Contains the following values:

  • NONE: Un-reduced weighted losses with the same shape as input.
  • SUM: Scalar sum of weighted losses.
  • MEAN: Scalar SUM divided by sum of weights. DEPRECATED.
  • SUM_OVER_BATCH_SIZE: Scalar SUM divided by number of elements in losses.
  • SUM_OVER_NONZERO_WEIGHTS: Scalar SUM divided by number of non-zero weights. DEPRECATED.
  • SUM_BY_NONZERO_WEIGHTS: Same as SUM_OVER_NONZERO_WEIGHTS. DEPRECATED.

Methods

all

View source

@classmethod
all()

validate

View source

@classmethod
validate(
    key
)

Class Variables

  • MEAN = 'weighted_mean'
  • NONE = 'none'
  • SUM = 'weighted_sum'
  • SUM_BY_NONZERO_WEIGHTS = 'weighted_sum_by_nonzero_weights'
  • SUM_OVER_BATCH_SIZE = 'weighted_sum_over_batch_size'
  • SUM_OVER_NONZERO_WEIGHTS = 'weighted_sum_by_nonzero_weights'

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/compat/v1/losses/Reduction