center_nodes

[ywj66hh]

作者您好，我想要调用代码中的_local_pattern函数，center_nodes这个参数的取值应该是什么呢
def _local_pattern(self, center_nodes, r=0.1, r_resolution=100, phi_resolution=360):
assert self._model_name in ['CLCRN','CLCSTN'], 'the model does not provide the kernel visualization'
with torch.no_grad():
center_nodes = torch.from_numpy(np.array(center_nodes)).float().to(self._device)
N = center_nodes.shape[0]
angle_ratio = 1 / phi_resolution
rs = np.linspace(0, r, r_resolution)
phis = np.linspace(-np.pi, np.pi, phi_resolution)
xs = torch.from_numpy(rs[:, None] * np.cos(phis)[None, :]).float().to(self._device).flatten() # r_res * phi_res
ys = torch.from_numpy(rs[:, None] * np.sin(phis)[None, :]).float().to(self._device).flatten() # r_res * phi_res
vs = torch.stack([xs, ys], dim=-1)[None, :, :].repeat(N, 1, 1)

        kernel = self.model.get_kernel()
        local_pattern = kernel.kernel_prattern(center_nodes, vs, angle_ratio)
    return local_pattern, center_nodes, rs, phis