NTXEntLoss

NTXEntLoss#

class stable_pretraining.losses.NTXEntLoss(temperature: float = 0.5)[source]#

Bases: ContrastiveLoss

Normalized temperature-scaled cross entropy loss.

Introduced in the SimCLR paper [Chen et al., 2020]. Also used in MoCo [He et al., 2020].

Parameters:

temperature (float, optional) – The temperature scaling factor. Default is 0.5.

forward(z_i: Tensor, z_j: Tensor) → Tensor[source]#

Compute the NT-Xent loss.

Parameters:

  • z_i (torch.Tensor) – Latent representation of the first augmented view of the batch.

  • z_j (torch.Tensor) – Latent representation of the second augmented view of the batch.

Returns:

The computed contrastive loss.

Return type:

float

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