Tensor

paddle.fluid.Tensor()

Tensor用于表示多维张量,可以通过 np.array(tensor) 方法转换为numpy.ndarray。

示例代码

import paddle.fluid as fluid

t = fluid.Tensor()
set(*args, **kwargs)

该接口根据输入的numpy array和设备place,设置Tensor的数据。

重载函数:

  1. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[float32], place: paddle::platform::CPUPlace) -> None
  2. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[int32], place: paddle::platform::CPUPlace) -> None
  3. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[float64], place: paddle::platform::CPUPlace) -> None
  4. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[int64], place: paddle::platform::CPUPlace) -> None
  5. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[bool], place: paddle::platform::CPUPlace) -> None
  6. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[uint16], place: paddle::platform::CPUPlace) -> None
  7. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[uint8], place: paddle::platform::CPUPlace) -> None
  8. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[int8], place: paddle::platform::CPUPlace) -> None
  9. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[float32], place: paddle::platform::CUDAPlace) -> None
  10. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[int32], place: paddle::platform::CUDAPlace) -> None
  11. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[float64], place: paddle::platform::CUDAPlace) -> None
  12. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[int64], place: paddle::platform::CUDAPlace) -> None
  13. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[bool], place: paddle::platform::CUDAPlace) -> None
  14. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[uint16], place: paddle::platform::CUDAPlace) -> None
  15. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[uint8], place: paddle::platform::CUDAPlace) -> None
  16. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[int8], place: paddle::platform::CUDAPlace) -> None
  17. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[float32], place: paddle::platform::CUDAPinnedPlace) -> None
  18. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[int32], place: paddle::platform::CUDAPinnedPlace) -> None
  19. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[float64], place: paddle::platform::CUDAPinnedPlace) -> None
  20. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[int64], place: paddle::platform::CUDAPinnedPlace) -> None
  21. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[bool], place: paddle::platform::CUDAPinnedPlace) -> None
  22. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[uint16], place: paddle::platform::CUDAPinnedPlace) -> None
  23. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[uint8], place: paddle::platform::CUDAPinnedPlace) -> None
  24. set(self: paddle.fluid.core_avx.Tensor, array: numpy.ndarray[int8], place: paddle::platform::CUDAPinnedPlace) -> None
参数:
  • array (numpy.ndarray) - 要设置的numpy array,支持的数据类型为bool, float32, float64, int8, int32, int64, uint8, uint16。
  • place (CPUPlace|CUDAPlace|CUDAPinnedPlace) - 要设置的Tensor所在的设备。

返回:无。

示例代码

import paddle.fluid as fluid
import numpy as np

t = fluid.Tensor()
t.set(np.ndarray([5, 30]), fluid.CPUPlace())
shape(self: paddle.fluid.core_avx.Tensor) → List[int]

该接口返回Tensor的shape。

返回:Tensor的shape。

返回类型:List[int] 。

示例代码

import paddle.fluid as fluid
import numpy as np

t = fluid.Tensor()
t.set(np.ndarray([5, 30]), fluid.CPUPlace())
print(t.shape())  # [5, 30]