提交 63e4e16c 编写于 作者: D dangqingqing

add smooth_l1 interface to v2 doc.

上级 28384912
......@@ -498,10 +498,10 @@ hsigmoid
:members: hsigmoid
:noindex:
smooth_l1
---------
smooth_l1_cost
--------------
.. automodule:: paddle.trainer_config_helpers.layers
:members: smooth_l1
:members: smooth_l1_cost
:noindex:
Check Layer
......
......@@ -421,7 +421,7 @@ hsigmoid
smooth_l1
---------
.. automodule:: paddle.v2.layer.smooth_l1
.. autoclass:: paddle.v2.layer.smooth_l1_cost
:noindex:
Check Layer
......
......@@ -116,7 +116,7 @@ __all__ = [
'spp_layer',
'pad_layer',
'eos_layer',
'smooth_l1',
'smooth_l1_cost',
'layer_support',
]
......@@ -5283,7 +5283,7 @@ def multi_binary_label_cross_entropy(input,
@wrap_name_default()
@layer_support()
def smooth_l1(input, label, name=None, layer_attr=None):
def smooth_l1_cost(input, label, name=None, layer_attr=None):
"""
This is a L1 loss but more smooth. It requires that the
size of input and label are equal. The formula is as follows,
......@@ -5296,18 +5296,14 @@ def smooth_l1(input, label, name=None, layer_attr=None):
.. math::
mooth_{L1}(x) =
\begin{cases}
0.5x^2& \text{if} |x| < 1 \\
|x|-0.5& \text{otherwise}
\end{cases}
smooth_{L1}(x) = \\begin{cases} 0.5x^2& \\text{if} \\ |x| < 1 \\\\ |x|-0.5& \\text{otherwise} \end{cases}
More details can be found by referring to `Fast R-CNN
<https://arxiv.org/pdf/1504.08083v2.pdf>`_
.. code-block:: python
cost = smooth_l1(input=input_layer,
cost = smooth_l1_cost(input=input_layer,
label=label_layer)
:param input: The input layer.
......
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