nnf_triplet_margin_with_distance_loss function

Triplet margin with distance loss

See nn_triplet_margin_with_distance_loss()

nnf_triplet_margin_with_distance_loss(
  anchor,
  positive,
  negative,
  distance_function = NULL,
  margin = 1,
  swap = FALSE,
  reduction = "mean"
)

Arguments

• anchor: the anchor input tensor
• positive: the positive input tensor
• negative: the negative input tensor
• distance_function: (callable, optional): A nonnegative, real-valued function that quantifies the closeness of two tensors. If not specified, nn_pairwise_distance() will be used. Default: None
• margin: Default: 1.
• swap: The distance swap is described in detail in the paper Learning shallow convolutional feature descriptors with triplet losses by V. Balntas, E. Riba et al. Default: FALSE.
• reduction: (string, optional) – Specifies the reduction to apply to the output: 'none' | 'mean' | 'sum'. 'none': no reduction will be applied, 'mean': the sum of the output will be divided by the number of elements in the output, 'sum': the output will be summed. Default: 'mean'