device_guard¶

注意：该API仅支持静态图模式

paddle.static. device_guard ( device=None ) [源代码] ¶

一个用于指定OP运行设备的上下文管理器。

参数：

device (str|None) – 指定上下文中使用的设备。它可以是 cpu、 gpu、 gpu:x，其中 x 是GPU 的编号。当它被设置为 cpu 或者 gpu 时，创建在该上下文中的OP将被运行在CPUPlace或者CUDAPlace上。若设置为 gpu，同时程序运行在单卡模式下，设备的索引将与执行器的设备索引保持一致，默认值：None，在该上下文中的OP将被自动地分配设备。

代码示例

         import paddle

paddle.enable_static()
support_gpu = paddle.is_compiled_with_cuda()
place = paddle.CPUPlace()
if support_gpu:
    place = paddle.CUDAPlace(0)

# if GPU is supported, the three OPs below will be automatically assigned to CUDAPlace(0)
data1 = paddle.full(shape=[1, 3, 8, 8], fill_value=0.5, dtype='float32')
data2 = paddle.full(shape=[1, 3, 64], fill_value=0.5, dtype='float32')
shape = paddle.shape(data2)

with paddle.static.device_guard("cpu"):
    # Ops created here will be placed on CPUPlace
    shape = paddle.slice(shape, axes=[0], starts=[0], ends=[4])
with paddle.static.device_guard('gpu'):
    # if GPU is supported, OPs created here will be placed on CUDAPlace(0), otherwise on CPUPlace
    out = paddle.reshape(data1, shape=shape)

exe = paddle.static.Executor(place)
exe.run(paddle.static.default_startup_program())
result = exe.run(fetch_list=[out])

        