tf.compat.v1.losses.Reduction
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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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Last updated 2020-10-01 UTC.
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