guard¶

paddle.fluid.dygraph.base. guard ( place=None ) [source]

Api_attr: imperative

This context will create a dygraph context for dygraph to run, using python with statement.

Parameters: place (fluid.CPUPlace| fluid.CUDAPlace|str, optional) – Place to execute dygraph. If None, the running place will be determined according to the way of paddle compilation. If place is string, It can be cpu, gpu:x and xpu:x, where x is the index of the GPUs or XPUs. Default: None
Returns: None

Examples

           import numpy as np
import paddle.fluid as fluid

with fluid.dygraph.guard():
    inp = np.ones([3, 1024], dtype='float32')
    t = fluid.dygraph.base.to_variable(inp)
    linear1 = fluid.Linear(1024, 4, bias_attr=False)
    linear2 = fluid.Linear(4, 4)
    ret = linear1(t)
    dy_ret = linear2(ret)

          