mirror of https://github.com/hpcaitech/ColossalAI
30 lines
798 B
Python
30 lines
798 B
Python
import torch
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from colossalai.nn.layer.parallel_2p5d import reduce_by_batch_2p5d, split_batch_2p5d
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from torch import nn
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from ._utils import calc_acc
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class Accuracy2p5D(nn.Module):
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"""Accuracy for 2p5D parallelism
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"""
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def __init__(self):
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super().__init__()
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def forward(self, logits, targets):
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"""Calculate the accuracy of predicted labels.
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Args:
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logits (:class:`torch.tensor`): Predicted labels.
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targets (:class:`torch.tensor`): True labels from data.
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Returns:
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float: the accuracy of prediction.
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"""
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with torch.no_grad():
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targets = split_batch_2p5d(targets)
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correct = calc_acc(logits, targets)
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correct = reduce_by_batch_2p5d(correct)
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return correct
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