tf.losses.Reduction

Types of loss reduction.

View aliases

Compat aliases for migration

See Migration guide for more details.

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()

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'