tf.compat.v1.losses.Reduction | TensorFlow v2.16.1 (original) (raw)

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.

@classmethod all()

@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 2024-04-26 UTC.