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体验新版 GitCode,发现更多精彩内容 >>
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6d3b030b
编写于
10月 22, 2018
作者:
G
guosheng
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差异文件
Refine the api of reshape to be compatible.
test=develop
上级
dfb841ad
变更
2
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2 changed file
with
8 addition
and
6 deletion
+8
-6
paddle/fluid/API.spec
paddle/fluid/API.spec
+1
-1
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+7
-5
未找到文件。
paddle/fluid/API.spec
浏览文件 @
6d3b030b
...
...
@@ -107,7 +107,7 @@ paddle.fluid.layers.softmax_with_cross_entropy ArgSpec(args=['logits', 'label',
paddle.fluid.layers.smooth_l1 ArgSpec(args=['x', 'y', 'inside_weight', 'outside_weight', 'sigma'], varargs=None, keywords=None, defaults=(None, None, None))
paddle.fluid.layers.one_hot ArgSpec(args=['input', 'depth'], varargs=None, keywords=None, defaults=None)
paddle.fluid.layers.autoincreased_step_counter ArgSpec(args=['counter_name', 'begin', 'step'], varargs=None, keywords=None, defaults=(None, 1, 1))
paddle.fluid.layers.reshape ArgSpec(args=['x', 'shape', 'actual_shape', '
inplace', 'name'], varargs=None, keywords=None, defaults=(
None, False, None))
paddle.fluid.layers.reshape ArgSpec(args=['x', 'shape', 'actual_shape', '
act', 'inplace', 'name'], varargs=None, keywords=None, defaults=(None,
None, False, None))
paddle.fluid.layers.squeeze ArgSpec(args=['input', 'axes', 'name'], varargs=None, keywords=None, defaults=(None,))
paddle.fluid.layers.unsqueeze ArgSpec(args=['input', 'axes', 'name'], varargs=None, keywords=None, defaults=(None,))
paddle.fluid.layers.lod_reset ArgSpec(args=['x', 'y', 'target_lod'], varargs=None, keywords=None, defaults=(None, None))
...
...
python/paddle/fluid/layers/nn.py
浏览文件 @
6d3b030b
...
...
@@ -4830,7 +4830,7 @@ def autoincreased_step_counter(counter_name=None, begin=1, step=1):
return
counter
def
reshape
(
x
,
shape
,
actual_shape
=
None
,
inplace
=
False
,
name
=
None
):
def
reshape
(
x
,
shape
,
actual_shape
=
None
,
act
=
None
,
inplace
=
False
,
name
=
None
):
"""
Gives a new shape to the input Tensor without changing its data.
...
...
@@ -4878,9 +4878,11 @@ def reshape(x, shape, actual_shape=None, inplace=False, name=None):
:attr:`shape` specifying shape. That is to
say :attr:`actual_shape` has a higher priority
than :attr:`shape`.
inplace(bool): If this flag is set true, reuse the input :attr:`x` as
output, which will change the shape of variable :attr:`x`.
Otherwise, preserve the shape :attr:`x` and return a new
act (str): The non-linear activation to be applied to the reshaped tensor
variable.
inplace(bool): If this flag is set true, reuse input :attr:`x` to reshape,
which will change the shape of tensor variable :attr:`x`.
Otherwise, preserve the shape :attr:`x` and create a new
output tensor variable whose data is copied from input x
but reshaped. Though setting to :attr:`True` will be more
efficient, :attr:`False` is suggested when :attr:`x` are
...
...
@@ -4936,7 +4938,7 @@ def reshape(x, shape, actual_shape=None, inplace=False, name=None):
outputs
=
{
"Out"
:
out
,
"XShape"
:
x_shape
})
return
out
return
helper
.
append_activation
(
out
)
def
squeeze
(
input
,
axes
,
name
=
None
):
...
...
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