代码和截图如下：

ndim_1_Tensor = paddle.to_tensor([0, 1, 2, 3, 4, 5, 6, 7, 8])
print("Origin Tensor:", ndim_1_Tensor.numpy()) 
print("First element:", ndim_1_Tensor[0].numpy()) 
print("Last element:", ndim_1_Tensor[-1].numpy())
print("All element:", ndim_1_Tensor[:].numpy())
print("Before 3:", ndim_1_Tensor[:3].numpy())
print("From 6 to the end:", ndim_1_Tensor[6:].numpy())
print("From 3 to 6:", ndim_1_Tensor[3:6].numpy())
print("Interval of 3:", ndim_1_Tensor[::3].numpy())
print("Reverse:", ndim_1_Tensor[::-1].numpy())

它说'numpy' only can be called by `paddle.Tensor` in dynamic graph mode. Suggestions:
1. If you are in static graph mode, you can switch to dynamic graph mode by turning off `paddle.enable_static()` or calling `paddle.disable_static()`.
2. If you are using `@paddle.jit.to_static`, you can turn off ProgramTranslator by calling `paddle.jit.ProgramTranslator().enable(False)`. If you have to translate dynamic graph to static graph, please use other API to replace 'numpy'.