ColossalAI/colossalai/nn/metric/accuracy_2d.py

import torch
from colossalai.nn.layer.parallel_2d import reduce_by_batch_2d, split_tensor_2d
from torch import nn

from ._utils import calc_acc


class Accuracy2D(nn.Module):
    """Accuracy for 2D parallelism
    """
    def __init__(self):
        super().__init__()

    def forward(self, logits, targets):
        """Calculate the accuracy of predicted labels.

        Args:
            logits (:class:`torch.tensor`): Predicted labels.
            targets (:class:`torch.tensor`): True labels from data.

        Returns:
            float: the accuracy of prediction.
        """
        with torch.no_grad():
            targets = split_tensor_2d(targets)
            correct = calc_acc(logits, targets)
            correct = reduce_by_batch_2d(correct)
        return correct