deepsleep2/losses.py at main · rfonod/deepsleep2 · GitHub

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import torch
import torch.nn as nn

class CustomBCELoss(nn.Module):

    def __init__(self):
        super(CustomBCELoss, self).__init__()
        self.loss = nn.BCELoss()

    def forward(self, y_hat, y):

        y_hat = y_hat.view(-1)
        y = y.view(-1)

        y_hat = y_hat[y > -0.5]
        y = y[y > -0.5]

        return self.loss(y_hat, y)


class CustomBCEWithLogitsLoss(nn.Module):

    def __init__(self):
        super(CustomBCEWithLogitsLoss, self).__init__()
        self.loss = nn.BCEWithLogitsLoss()

    def forward(self, y_hat, y):

        y_hat = y_hat.view(-1)
        y = y.view(-1)

        y_hat = y_hat[y > -0.5]
        y = y[y > -0.5]

        return self.loss(y_hat, y)