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tfa.losses.lifted_struct_loss
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Computes the lifted structured loss.
@tf.function
tfa.losses.lifted_struct_loss(
labels: tfa.types.TensorLike
,
embeddings: tfa.types.TensorLike
,
margin: tfa.types.FloatTensorLike
= 1.0
) -> tf.Tensor
Args |
labels
|
1-D tf.int32 Tensor with shape [batch_size] of
multiclass integer labels.
|
embeddings
|
2-D float Tensor of embedding vectors. Embeddings should
not be l2 normalized.
|
margin
|
Float, margin term in the loss definition.
|
Returns |
lifted_loss
|
float scalar with dtype of embeddings.
|
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Last updated 2023-05-25 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-05-25 UTC."],[],[]]