real

paddle. real ( x: Tensor, name: str | None = None, *, out: Tensor | None = None ) → Tensor [source]

Returns a new Tensor containing real values of the input Tensor.

Parameters

• x (Tensor) – the input Tensor, its data type could be complex64 or complex128. Alias: input.

• name (str|None, optional) – The default value is None. Normally there is no need for user to set this property. For more information, please refer to api_guide_Name .

Keyword Arguments

out (Tensor, optional) – The output tensor.

Returns

a Tensor containing real values of the input Tensor.

Return type

Tensor

Examples

>>> import paddle

>>> x = paddle.to_tensor(
...     [
...         [1 + 6j, 2 + 5j, 3 + 4j],
...         [4 + 3j, 5 + 2j, 6 + 1j],
...     ]
... )
>>> print(x)
Tensor(shape=[2, 3], dtype=complex64, place=Place(cpu), stop_gradient=True,
 [[(1.00000000+6.00000000j), (2.00000000+5.00000000j),
   (3.00000000+4.00000000j)],
  [(4.00000000+3.00000000j), (5.00000000+2.00000000j),
   (6.00000000+1.00000000j)]])

>>> real_res = paddle.real(x)
>>> print(real_res)
Tensor(shape=[2, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
[[1., 2., 3.],
 [4., 5., 6.]])

>>> real_t = x.real()
>>> print(real_t)
Tensor(shape=[2, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
[[1., 2., 3.],
 [4., 5., 6.]])