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体验新版 GitCode,发现更多精彩内容 >>
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a08dc83e
编写于
11月 27, 2018
作者:
J
JiabinYang
浏览文件
操作
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电子邮件补丁
差异文件
remove arg 'non_leaf_num', test=develop
上级
7594787d
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
13 addition
and
13 deletion
+13
-13
paddle/fluid/API.spec
paddle/fluid/API.spec
+1
-1
paddle/fluid/operators/hierarchical_sigmoid_op.cc
paddle/fluid/operators/hierarchical_sigmoid_op.cc
+1
-1
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+9
-9
python/paddle/fluid/tests/unittests/test_hsigmoid_op.py
python/paddle/fluid/tests/unittests/test_hsigmoid_op.py
+1
-1
python/paddle/fluid/tests/unittests/test_layers.py
python/paddle/fluid/tests/unittests/test_layers.py
+1
-1
未找到文件。
paddle/fluid/API.spec
浏览文件 @
a08dc83e
...
...
@@ -97,8 +97,8 @@ paddle.fluid.layers.warpctc ArgSpec(args=['input', 'label', 'blank', 'norm_by_ti
paddle.fluid.layers.sequence_reshape ArgSpec(args=['input', 'new_dim'], varargs=None, keywords=None, defaults=None)
paddle.fluid.layers.transpose ArgSpec(args=['x', 'perm', 'name'], varargs=None, keywords=None, defaults=(None,))
paddle.fluid.layers.im2sequence ArgSpec(args=['input', 'filter_size', 'stride', 'padding', 'input_image_size', 'out_stride', 'name'], varargs=None, keywords=None, defaults=(1, 1, 0, None, 1, None))
paddle.fluid.layers.hsigmoid ArgSpec(args=['input', 'label', 'num_classes', 'param_attr', 'bias_attr', 'name', 'non_leaf_num', 'ptable', 'pcode', 'is_costum', 'is_sparse'], varargs=None, keywords=None, defaults=(None, None, None, None, None, None, None, False, False))
paddle.fluid.layers.nce ArgSpec(args=['input', 'label', 'num_total_classes', 'sample_weight', 'param_attr', 'bias_attr', 'num_neg_samples', 'name', 'sampler', 'custom_dist', 'seed', 'is_sparse'], varargs=None, keywords=None, defaults=(None, None, None, None, None, 'uniform', None, 0, False))
paddle.fluid.layers.hsigmoid ArgSpec(args=['input', 'label', 'num_classes', 'param_attr', 'bias_attr', 'name', 'path_table', 'path_code', 'is_custom', 'is_sparse'], varargs=None, keywords=None, defaults=(None, None, None, None, None, False, False))
paddle.fluid.layers.beam_search ArgSpec(args=['pre_ids', 'pre_scores', 'ids', 'scores', 'beam_size', 'end_id', 'level', 'name'], varargs=None, keywords=None, defaults=(0, None))
paddle.fluid.layers.row_conv ArgSpec(args=['input', 'future_context_size', 'param_attr', 'act'], varargs=None, keywords=None, defaults=(None, None))
paddle.fluid.layers.multiplex ArgSpec(args=['inputs', 'index'], varargs=None, keywords=None, defaults=None)
...
...
paddle/fluid/operators/hierarchical_sigmoid_op.cc
浏览文件 @
a08dc83e
...
...
@@ -108,7 +108,7 @@ class HierarchicalSigmoidOpMaker : public framework::OpProtoAndCheckerMaker {
.
AsDispensable
();
AddInput
(
"Bias"
,
"(LoDTensor, optional), The bias is a tensor with shape or "
"[n
on_leaf_num
, 1]"
"[n
um_classes
, 1]"
"[num_classes - 1, 1]."
)
.
AsDispensable
();
AddOutput
(
...
...
python/paddle/fluid/layers/nn.py
浏览文件 @
a08dc83e
...
...
@@ -4584,11 +4584,10 @@ def nce(input,
def
hsigmoid
(
input
,
label
,
num_classes
=
None
,
num_classes
,
param_attr
=
None
,
bias_attr
=
None
,
name
=
None
,
non_leaf_num
=
None
,
path_table
=
None
,
path_code
=
None
,
is_custom
=
False
,
...
...
@@ -4622,7 +4621,9 @@ def hsigmoid(input,
and :math:`D` is the feature size.
label (Variable): The tensor variable contains labels of training data.
It's a tensor with shape is :math:`[N
\\
times 1]`.
num_classes: (int), The number of classes, must not be less than 2. with default tree this has to be set
num_classes: (int), The number of classes, must not be less than 2. with default tree this has to be set,
it should never be None under is_custom=False, but while is_custom is true, it should be non leaf num
which indicates the num of classes using by binary classify.
param_attr (ParamAttr|None): The parameter attribute for learnable parameters/weights
of hsigmoid. If it is set to None or one attribute of ParamAttr, hsigmoid
will create ParamAttr as param_attr. If the Initializer of the param_attr
...
...
@@ -4634,7 +4635,6 @@ def hsigmoid(input,
is not set, the bias is initialized zero. Default: None.
name (str|None): A name for this layer(optional). If set None, the layer
will be named automatically. Default: None.
non_leaf_num: this defines the number of non-leaf nodes in costumed tree
path_table: (Variable|None) this variable can store each batch of samples' path to root,
it should be in leaf -> root order
path_table should have the same shape with path_code, and for each sample i path_table[i] indicates a np.array like
...
...
@@ -4642,7 +4642,7 @@ def hsigmoid(input,
path_code: (Variable|None) this variable can store each batch of samples' code,
each code consist with every code of parent nodes. it should be in leaf -> root order
is_custom: (bool|False)using user defined binary tree instead of default complete binary tree, if costum is
set you need to set path_table/path_code/n
on_leaf_num
, otherwise num_classes should be set
set you need to set path_table/path_code/n
um_classes
, otherwise num_classes should be set
is_sparse: (bool|False)using sparse update instead of dense update, if set, the gradient
of W and input will be sparse.
...
...
@@ -4671,8 +4671,8 @@ def hsigmoid(input,
raise
ValueError
(
"path_code should not be None with costum tree"
)
elif
(
is_custom
)
and
(
path_table
is
None
):
raise
ValueError
(
"path_table should not be None with costum tree"
)
elif
(
is_custom
)
and
(
n
on_leaf_num
is
None
):
raise
ValueError
(
"n
on_leaf_num
should not be None with costum tree"
)
elif
(
is_custom
)
and
(
n
um_classes
is
None
):
raise
ValueError
(
"n
um_classes
should not be None with costum tree"
)
else
:
pass
...
...
@@ -4687,7 +4687,7 @@ def hsigmoid(input,
else
:
weights
=
helper
.
create_parameter
(
attr
=
helper
.
param_attr
,
shape
=
[
n
on_leaf_num
,
dim
],
shape
=
[
n
um_classes
,
dim
],
is_bias
=
False
,
dtype
=
input
.
dtype
)
inputs
=
{
...
...
@@ -4708,7 +4708,7 @@ def hsigmoid(input,
else
:
bias
=
helper
.
create_parameter
(
attr
=
helper
.
bias_attr
,
shape
=
[
n
on_leaf_num
,
1
],
shape
=
[
n
um_classes
,
1
],
is_bias
=
True
,
dtype
=
input
.
dtype
)
inputs
[
'Bias'
]
=
bias
...
...
python/paddle/fluid/tests/unittests/test_hsigmoid_op.py
浏览文件 @
a08dc83e
...
...
@@ -220,7 +220,7 @@ class TestHSigmoidOpWithSparseGrad(unittest.TestCase):
input
=
emb
,
label
=
label
,
bias_attr
=
True
,
n
on_leaf_num
=
3
,
n
um_classes
=
3
,
path_table
=
path_table
,
path_code
=
path_code
,
is_custom
=
True
,
...
...
python/paddle/fluid/tests/unittests/test_layers.py
浏览文件 @
a08dc83e
...
...
@@ -198,7 +198,7 @@ class TestBook(unittest.TestCase):
layers
.
hsigmoid
(
input
=
x2
,
label
=
y2
,
n
on_leaf_num
=
6
,
n
um_classes
=
6
,
path_table
=
path_table
,
path_code
=
path_code
,
is_custom
=
True
))
...
...
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