CPUPlace

class paddle. CPUPlace

CPUPlace is a descriptor of a device. It represents a CPU device on which a tensor will be allocated and a model will run.

Examples

>>> import paddle
>>> cpu_place = paddle.CPUPlace()

custom_device_id ( self: paddle.base.libpaddle.Place ) → int

custom_device_id¶

custom_device_type ( self: paddle.base.libpaddle.Place ) → str

custom_device_type¶

gpu_device_id ( self: paddle.base.libpaddle.Place ) → int

gpu_device_id¶

ipu_device_id ( self: paddle.base.libpaddle.Place ) → int

ipu_device_id¶

is_cpu_place ( self: paddle.base.libpaddle.Place ) → bool

is_cpu_place¶

is_cuda_pinned_place ( self: paddle.base.libpaddle.Place ) → bool

is_cuda_pinned_place¶

is_custom_place ( self: paddle.base.libpaddle.Place ) → bool

is_custom_place¶

is_gpu_place ( self: paddle.base.libpaddle.Place ) → bool

is_gpu_place¶

is_ipu_place ( self: paddle.base.libpaddle.Place ) → bool

is_ipu_place¶

is_xpu_pinned_place ( self: paddle.base.libpaddle.Place ) → bool

is_xpu_pinned_place¶

is_xpu_place ( self: paddle.base.libpaddle.Place ) → bool

is_xpu_place¶

set_place ( *args, **kwargs )

set_place¶

Overloaded function.

1. set_place(self: paddle.base.libpaddle.Place, arg0: paddle.base.libpaddle.Place) -> None

2. set_place(self: paddle.base.libpaddle.Place, arg0: phi::CPUPlace) -> None

3. set_place(self: paddle.base.libpaddle.Place, arg0: phi::XPUPlace) -> None

4. set_place(self: paddle.base.libpaddle.Place, arg0: phi::GPUPlace) -> None

5. set_place(self: paddle.base.libpaddle.Place, arg0: phi::GPUPinnedPlace) -> None

6. set_place(self: paddle.base.libpaddle.Place, arg0: phi::XPUPinnedPlace) -> None

7. set_place(self: paddle.base.libpaddle.Place, arg0: phi::IPUPlace) -> None

8. set_place(self: paddle.base.libpaddle.Place, arg0: phi::CustomPlace) -> None

xpu_device_id ( self: paddle.base.libpaddle.Place ) → int

xpu_device_id¶