黑龙江省消费维权效能提升执法力度加强

paddle. ones ( shape: ShapeLike, dtype: DTypeLike | None = None, name: str | None = None ) → paddle.Tensor [source]

百度 故事讲述了潮阳县书生张道南因寻白鹦鹉误入县令家后花园，与县令女碧桃相见。

Create a Tensor of specified shape and dtype and fill it with 1.

Parameters

• shape (tuple|list|Tensor) – Shape of the Tensor to be created. The data type is int32 or int64 . If shape is a list or tuple, the elements of it should be integers or 0-D Tensor with shape []. If shape is an Tensor, it should be an 1-D Tensor which represents a list.

• dtype (np.dtype|str, optional) – Data type of output Tensor, it should be one of bool, float16, float32, float64, int32 and int64. If it is set to None, the data type will be float32.

• name (str|None, optional) – For details, please refer to Name. Generally, no setting is required. Default: None.

Returns

A Tensor of data type dtype with shape shape and all elements are 1.

Return type

Tensor

Examples

>>> import paddle

>>> # shape is a list/tuple
>>> data1 = paddle.ones(shape=[3, 2])
>>> print(data1.numpy())
[[1. 1.]
 [1. 1.]
 [1. 1.]]

>>> # shape is a Tensor
>>> shape = paddle.to_tensor([3, 2])
>>> data2 = paddle.ones(shape=shape)
>>> print(data2.numpy())
[[1. 1.]
 [1. 1.]
 [1. 1.]]

>>> # shape is a Tensor List
>>> shape = [paddle.to_tensor(3), paddle.to_tensor(2)]
>>> data3 = paddle.ones(shape=shape)
>>> print(data3.numpy())
[[1. 1.]
 [1. 1.]
 [1. 1.]]