INNER CODE UNIT · Python

MishAutoFn

digantamisra98/Mish · PyTorch Benchmarks/activations_autofn.py:41

class MishAutoFn(torch.autograd.Function):
    """Mish: A Self Regularized Non-Monotonic Neural Activation Function - https://arxiv.org/abs/1908.08681
    Experimental memory-efficient variant
    """

    @staticmethod
    def forward(ctx, x):
        ctx.save_for_backward(x)
        y = x.mul(torch.tanh(F.softplus(x)))  # x * tanh(ln(1 + exp(x)))
        return y

    @staticmethod
    def backward(ctx, grad_output):
        x = ctx.saved_tensors[0]
        x_sigmoid = torch.sigmoid(x)
        x_tanh_sp = F.softplus(x).tanh()
        return grad_output.mul(x_tanh_sp + x * x_sigmoid * (1 - x_tanh_sp * x_tanh_sp))

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