quack() — pytorch Function Reference

Source Code

benchmarks/dynamo/genai_layers/kernels.py lines 325–333

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

        if kwargs is not None:
            raise AssertionError(f"Expected kwargs to be None, but got {kwargs}")
        x, dy = args

        y = softmax(x)
        return lambda: torch.autograd.grad(y, x, grad_outputs=dy, retain_graph=True)