def compute_cross_entropy_loss(logits, targets, ignore_index=-100):
    """
    Function to compute the cross entropy loss. The default value of
    ignore_index is the same as the default value for F.cross_entropy in
    pytorch.
    """
    assert logits.size(0) == targets.size(
        -1
    ), "Logits and Targets tensor shapes don't match up"

    loss = F.nll_loss(
        F.log_softmax(logits, -1, dtype=torch.float32),
        targets,
        reduction="sum",
        ignore_index=ignore_index,
    )
    return loss

    Function to compute the cross entropy loss. The default value of
    ignore_index is the same as the default value for F.cross_entropy in
    pytorch.
    
understand_icl/fairseq/fairseq/criterions/legacy_masked_lm.py