tirank.Loss.CrossEntropy_loss
- tirank.Loss.CrossEntropy_loss(y_pred, y_true)[source]
Calculates the cross-entropy loss for classification.
Wrapper for nn.CrossEntropyLoss.
- Parameters:
y_pred (torch.Tensor) – Predicted logits (N x C).
y_true (torch.Tensor) – True class labels (N).
- Returns:
The scalar cross-entropy loss.
- Return type:
torch.Tensor