Function new_init

python/paddle/__init__.py:171–222

New Usage Example: 1. paddle.Tensor() 2. paddle.Tensor(device="cpu") 3. paddle.Tensor(1,2,3) 4. paddle.Tensor(1,2,3, device="cpu") 5. paddle.Tensor([1,2,3]) 6. paddle.Tensor([1,2,3], device="cpu") 7. paddle.Tensor(data=[1,2,3])

(self, *args, **kwargs)

    original_init = Tensor.__init__

    def new_init(self, *args, **kwargs):
        """
        New Usage Example:
        1. paddle.Tensor()
        2. paddle.Tensor(device="cpu")
        3. paddle.Tensor(1,2,3)
        4. paddle.Tensor(1,2,3, device="cpu")
        5. paddle.Tensor([1,2,3])
        6. paddle.Tensor([1,2,3], device="cpu")
        7. paddle.Tensor(data=[1,2,3])
        8. paddle.Tensor(data=[1,2,3], device="cpu")
        Original Usage Example:
        9. paddle.Tensor(value=data, place="cpu", persistable=False, zero_copy=False, name=None, stop_gradient=True)
        """
        if 'device' in kwargs:
            device = kwargs.pop('device')
        else:
            device = "cpu"
        device = framework._get_paddle_place(device)
        if len(args) == 0 and len(kwargs) == 0:  # case 1, 2
            original_init(
                self,
                paddle.empty(shape=[0], dtype='float32', device=device),
                place=device,
            )
            return
        if 'data' in kwargs:  # case 7,8
            data = kwargs.pop('data')
            original_init(
                self,
                paddle.tensor(data, dtype='float32', device=device),
                place=device,
            )
        elif len(args) == 1 and isinstance(args[0], (list, tuple)):
            # case 5, 6
            original_init(
                self,
                paddle.tensor(args[0], dtype='float32', device=device),
                place=device,
            )
        elif (
            builtins.all(isinstance(arg, builtins.int) for arg in args)
            and len(kwargs) == 0
        ):
            # case 3, 4
            original_init(
                self,
                paddle.empty(shape=list(args), dtype='float32', device=device),
                place=device,
            )
        else:
            original_init(self, *args, **kwargs)

    Tensor.__init__ = new_init