quack() — pytorch Function Reference

Source Code

benchmarks/dynamo/genai_layers/kernels.py lines 176–185

    def quack(self, args, kwargs=None) -> Any:
        from quack.cross_entropy import cross_entropy

        if kwargs is not None:
            raise AssertionError(f"Expected kwargs to be None, but got {kwargs}")
        x, target, dloss = args
        loss = cross_entropy(x, target)
        return lambda: torch.autograd.grad(
            loss, x, grad_outputs=dloss, retain_graph=True
        )