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Update no_grad doc examples #26481

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Aug 21, 2020
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Update no_grad doc examples #26481

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20 changes: 10 additions & 10 deletions python/paddle/fluid/dygraph/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -182,19 +182,19 @@ class no_grad:
.. code-block:: python

import numpy as np
import paddle.fluid as fluid
import paddle

paddle.enable_imperative()
paddle.disable_static()

# use as generator

data = np.array([[2, 3], [4, 5]]).astype('float32')
l0 = fluid.Linear(2, 2) # l0.weight.gradient() is None
l1 = fluid.Linear(2, 2)
with fluid.no_grad():
l0 = paddle.nn.Linear(2, 2) # l0.weight.gradient() is None
l1 = paddle.nn.Linear(2, 2)
with paddle.no_grad():
# l1.weight.stop_gradient is False
tmp = l1.weight * 2 # tmp.stop_gradient is True
x = fluid.dygraph.to_variable(data)
x = paddle.to_tensor(data)
y = l0(x) + tmp
o = l1(y)
o.backward()
Expand All @@ -203,12 +203,12 @@ class no_grad:

# use as decorator

@fluid.no_grad()
@paddle.no_grad()
def test_layer():
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)
t = paddle.to_tensor(inp)
linear1 = paddle.nn.Linear(1024, 4, bias_attr=False)
linear2 = paddle.nn.Linear(4, 4)
ret = linear1(t)
dy_ret = linear2(ret)

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