def sigmoid(tensor, temp=1.0):
    """temperature controlled sigmoid
    takes as input a torch tensor (tensor) and passes it through a sigmoid, controlled by temperature: temp
    """
    exponent = -tensor / temp
    # clamp the input tensor for stability
    exponent = torch.clamp(exponent, min=-50, max=50)
    y = 1.0 / (1.0 + torch.exp(exponent))
    return y
temperature controlled sigmoid
    takes as input a torch tensor (tensor) and passes it through a sigmoid, controlled by temperature: temp
    
examples/pytorch/hilander/PSS/Smooth_AP/src/losses.py