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tf.losses.Reduction

View source on GitHub

Class Reduction

Types of loss reduction.

Aliases:

  • Class tf.compat.v1.losses.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(cls)

validate

View source

@classmethod
validate(
    cls,
    key
)

Class Members

  • 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'