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300bd750
编写于
5月 23, 2019
作者:
L
lijianshe02
提交者:
GitHub
5月 23, 2019
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差异文件
fix api-doc related bugs test=develop test=document_preview (#17360)
* fix api doc according to the reviewer's comment test=develop
上级
3bd14263
变更
6
显示空白变更内容
内联
并排
Showing
6 changed file
with
81 addition
and
20 deletion
+81
-20
paddle/fluid/API.spec
paddle/fluid/API.spec
+8
-8
python/paddle/fluid/layers/control_flow.py
python/paddle/fluid/layers/control_flow.py
+37
-7
python/paddle/fluid/layers/io.py
python/paddle/fluid/layers/io.py
+5
-3
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+12
-0
python/paddle/fluid/layers/tensor.py
python/paddle/fluid/layers/tensor.py
+16
-0
python/paddle/fluid/param_attr.py
python/paddle/fluid/param_attr.py
+3
-2
未找到文件。
paddle/fluid/API.spec
浏览文件 @
300bd750
...
@@ -207,7 +207,7 @@ paddle.fluid.layers.logical_not (ArgSpec(args=['x', 'out', 'name'], varargs=None
...
@@ -207,7 +207,7 @@ paddle.fluid.layers.logical_not (ArgSpec(args=['x', 'out', 'name'], varargs=None
paddle.fluid.layers.clip (ArgSpec(args=['x', 'min', 'max', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '0ce33756573c572da67302499455dbcd'))
paddle.fluid.layers.clip (ArgSpec(args=['x', 'min', 'max', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '0ce33756573c572da67302499455dbcd'))
paddle.fluid.layers.clip_by_norm (ArgSpec(args=['x', 'max_norm', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'a1ea0bc5a926f427458c4254ca022749'))
paddle.fluid.layers.clip_by_norm (ArgSpec(args=['x', 'max_norm', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'a1ea0bc5a926f427458c4254ca022749'))
paddle.fluid.layers.mean (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'd638d915195ce86a8d7963b81110d4c8'))
paddle.fluid.layers.mean (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'd638d915195ce86a8d7963b81110d4c8'))
paddle.fluid.layers.mul (ArgSpec(args=['x', 'y', 'x_num_col_dims', 'y_num_col_dims', 'name'], varargs=None, keywords=None, defaults=(1, 1, None)), ('document', '
ccd37fa6b53f074adbfb732d738c4c2
d'))
paddle.fluid.layers.mul (ArgSpec(args=['x', 'y', 'x_num_col_dims', 'y_num_col_dims', 'name'], varargs=None, keywords=None, defaults=(1, 1, None)), ('document', '
784b7e36cea88493f9e37a41b10fbf4
d'))
paddle.fluid.layers.sigmoid_cross_entropy_with_logits (ArgSpec(args=['x', 'label', 'ignore_index', 'name', 'normalize'], varargs=None, keywords=None, defaults=(-100, None, False)), ('document', '180c284317ea45ef89a460d8d79c0b72'))
paddle.fluid.layers.sigmoid_cross_entropy_with_logits (ArgSpec(args=['x', 'label', 'ignore_index', 'name', 'normalize'], varargs=None, keywords=None, defaults=(-100, None, False)), ('document', '180c284317ea45ef89a460d8d79c0b72'))
paddle.fluid.layers.maxout (ArgSpec(args=['x', 'groups', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '71426e02d240d0daedae81a02ca1c191'))
paddle.fluid.layers.maxout (ArgSpec(args=['x', 'groups', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '71426e02d240d0daedae81a02ca1c191'))
paddle.fluid.layers.space_to_depth (ArgSpec(args=['x', 'blocksize', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'a9221eaef53884a00654e028551b78e2'))
paddle.fluid.layers.space_to_depth (ArgSpec(args=['x', 'blocksize', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'a9221eaef53884a00654e028551b78e2'))
...
@@ -238,8 +238,8 @@ paddle.fluid.layers.continuous_value_model (ArgSpec(args=['input', 'cvm', 'use_c
...
@@ -238,8 +238,8 @@ paddle.fluid.layers.continuous_value_model (ArgSpec(args=['input', 'cvm', 'use_c
paddle.fluid.layers.where (ArgSpec(args=['condition'], varargs=None, keywords=None, defaults=None), ('document', '3126e3039e752ce26077f1efaca355c6'))
paddle.fluid.layers.where (ArgSpec(args=['condition'], varargs=None, keywords=None, defaults=None), ('document', '3126e3039e752ce26077f1efaca355c6'))
paddle.fluid.layers.sign (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', 'ccf6bb7912afd2818d24bc45461e807a'))
paddle.fluid.layers.sign (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', 'ccf6bb7912afd2818d24bc45461e807a'))
paddle.fluid.layers.data (ArgSpec(args=['name', 'shape', 'append_batch_size', 'dtype', 'lod_level', 'type', 'stop_gradient'], varargs=None, keywords=None, defaults=(True, 'float32', 0, VarType.LOD_TENSOR, True)), ('document', 'adf285346e23316097f7789b572491e9'))
paddle.fluid.layers.data (ArgSpec(args=['name', 'shape', 'append_batch_size', 'dtype', 'lod_level', 'type', 'stop_gradient'], varargs=None, keywords=None, defaults=(True, 'float32', 0, VarType.LOD_TENSOR, True)), ('document', 'adf285346e23316097f7789b572491e9'))
paddle.fluid.layers.open_files (ArgSpec(args=['filenames', 'shapes', 'lod_levels', 'dtypes', 'thread_num', 'buffer_size', 'pass_num', 'is_test'], varargs=None, keywords=None, defaults=(None, None, 1, None)), ('document', '
cf12066a3139026119f97f9d4381a1bd
'))
paddle.fluid.layers.open_files (ArgSpec(args=['filenames', 'shapes', 'lod_levels', 'dtypes', 'thread_num', 'buffer_size', 'pass_num', 'is_test'], varargs=None, keywords=None, defaults=(None, None, 1, None)), ('document', '
dce69a78638da8f7ad80b1fc00ed2029
'))
paddle.fluid.layers.read_file (ArgSpec(args=['reader'], varargs=None, keywords=None, defaults=None), ('document', '
b0a1c2fc51c27a106da28f3308c41f5e
'))
paddle.fluid.layers.read_file (ArgSpec(args=['reader'], varargs=None, keywords=None, defaults=None), ('document', '
32181f6037e387fb6e68a5beaafe33b6
'))
paddle.fluid.layers.shuffle (ArgSpec(args=['reader', 'buffer_size'], varargs=None, keywords=None, defaults=None), ('document', 'f967a73426db26f970bc70bfb03cffca'))
paddle.fluid.layers.shuffle (ArgSpec(args=['reader', 'buffer_size'], varargs=None, keywords=None, defaults=None), ('document', 'f967a73426db26f970bc70bfb03cffca'))
paddle.fluid.layers.batch (ArgSpec(args=['reader', 'batch_size'], varargs=None, keywords=None, defaults=None), ('document', 'fcb24383c6eef2ca040ee824c26e22fd'))
paddle.fluid.layers.batch (ArgSpec(args=['reader', 'batch_size'], varargs=None, keywords=None, defaults=None), ('document', 'fcb24383c6eef2ca040ee824c26e22fd'))
paddle.fluid.layers.double_buffer (ArgSpec(args=['reader', 'place', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '07e5b796674796eb1ef3fee9c10d24e3'))
paddle.fluid.layers.double_buffer (ArgSpec(args=['reader', 'place', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '07e5b796674796eb1ef3fee9c10d24e3'))
...
@@ -267,8 +267,8 @@ paddle.fluid.layers.argsort (ArgSpec(args=['input', 'axis', 'name'], varargs=Non
...
@@ -267,8 +267,8 @@ paddle.fluid.layers.argsort (ArgSpec(args=['input', 'axis', 'name'], varargs=Non
paddle.fluid.layers.ones (ArgSpec(args=['shape', 'dtype', 'force_cpu'], varargs=None, keywords=None, defaults=(False,)), ('document', 'b402489c62e668df42e7daceb63c142b'))
paddle.fluid.layers.ones (ArgSpec(args=['shape', 'dtype', 'force_cpu'], varargs=None, keywords=None, defaults=(False,)), ('document', 'b402489c62e668df42e7daceb63c142b'))
paddle.fluid.layers.zeros (ArgSpec(args=['shape', 'dtype', 'force_cpu'], varargs=None, keywords=None, defaults=(False,)), ('document', 'c155e2efc56ffa5ed4658cca0272e491'))
paddle.fluid.layers.zeros (ArgSpec(args=['shape', 'dtype', 'force_cpu'], varargs=None, keywords=None, defaults=(False,)), ('document', 'c155e2efc56ffa5ed4658cca0272e491'))
paddle.fluid.layers.reverse (ArgSpec(args=['x', 'axis'], varargs=None, keywords=None, defaults=None), ('document', '8ee7cb6ca639e7460e825f953b65d94d'))
paddle.fluid.layers.reverse (ArgSpec(args=['x', 'axis'], varargs=None, keywords=None, defaults=None), ('document', '8ee7cb6ca639e7460e825f953b65d94d'))
paddle.fluid.layers.has_inf (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '
8f8c0306117ea441f20dcbbdba1f0ecc
'))
paddle.fluid.layers.has_inf (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '
51a0fa1cfaf2507c00a215adacdb8a63
'))
paddle.fluid.layers.has_nan (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '
2e53e83127dbfd86e7098bdfe9a549e8
'))
paddle.fluid.layers.has_nan (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '
129cf426e71452fe8276d616a6dc21ae
'))
paddle.fluid.layers.isfinite (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '0a437011c3906079fd8947ed3e52d292'))
paddle.fluid.layers.isfinite (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '0a437011c3906079fd8947ed3e52d292'))
paddle.fluid.layers.range (ArgSpec(args=['start', 'end', 'step', 'dtype'], varargs=None, keywords=None, defaults=None), ('document', '2ec937ede953ded2fdff2675883900bb'))
paddle.fluid.layers.range (ArgSpec(args=['start', 'end', 'step', 'dtype'], varargs=None, keywords=None, defaults=None), ('document', '2ec937ede953ded2fdff2675883900bb'))
paddle.fluid.layers.linspace (ArgSpec(args=['start', 'stop', 'num', 'dtype'], varargs=None, keywords=None, defaults=None), ('document', '495e21e9a848c2d075a102802fc67756'))
paddle.fluid.layers.linspace (ArgSpec(args=['start', 'stop', 'num', 'dtype'], varargs=None, keywords=None, defaults=None), ('document', '495e21e9a848c2d075a102802fc67756'))
...
@@ -309,9 +309,9 @@ paddle.fluid.layers.StaticRNN.step (ArgSpec(args=['self'], varargs=None, keyword
...
@@ -309,9 +309,9 @@ paddle.fluid.layers.StaticRNN.step (ArgSpec(args=['self'], varargs=None, keyword
paddle.fluid.layers.StaticRNN.step_input (ArgSpec(args=['self', 'x'], varargs=None, keywords=None, defaults=None), ('document', '903387ec11f3d0bf46821d31a68cffa5'))
paddle.fluid.layers.StaticRNN.step_input (ArgSpec(args=['self', 'x'], varargs=None, keywords=None, defaults=None), ('document', '903387ec11f3d0bf46821d31a68cffa5'))
paddle.fluid.layers.StaticRNN.step_output (ArgSpec(args=['self', 'o'], varargs=None, keywords=None, defaults=None), ('document', '252890d4c3199a7623ab8667e13fd837'))
paddle.fluid.layers.StaticRNN.step_output (ArgSpec(args=['self', 'o'], varargs=None, keywords=None, defaults=None), ('document', '252890d4c3199a7623ab8667e13fd837'))
paddle.fluid.layers.StaticRNN.update_memory (ArgSpec(args=['self', 'mem', 'var'], varargs=None, keywords=None, defaults=None), ('document', '7a0000520f179f35239956a5ba55119f'))
paddle.fluid.layers.StaticRNN.update_memory (ArgSpec(args=['self', 'mem', 'var'], varargs=None, keywords=None, defaults=None), ('document', '7a0000520f179f35239956a5ba55119f'))
paddle.fluid.layers.reorder_lod_tensor_by_rank (ArgSpec(args=['x', 'rank_table'], varargs=None, keywords=None, defaults=None), ('document', '
3545f529ef04e8f6ecb76b47fa3df01a
'))
paddle.fluid.layers.reorder_lod_tensor_by_rank (ArgSpec(args=['x', 'rank_table'], varargs=None, keywords=None, defaults=None), ('document', '
5b552a1f0f7eb4dacb768a975ba15d08
'))
paddle.fluid.layers.Print (ArgSpec(args=['input', 'first_n', 'message', 'summarize', 'print_tensor_name', 'print_tensor_type', 'print_tensor_shape', 'print_tensor_lod', 'print_phase'], varargs=None, keywords=None, defaults=(-1, None, -1, True, True, True, True, 'both')), ('document', '
5fef91b0e21c93610785f2b1f7161732
'))
paddle.fluid.layers.Print (ArgSpec(args=['input', 'first_n', 'message', 'summarize', 'print_tensor_name', 'print_tensor_type', 'print_tensor_shape', 'print_tensor_lod', 'print_phase'], varargs=None, keywords=None, defaults=(-1, None, -1, True, True, True, True, 'both')), ('document', '
a222dbad457441941e50b812e5af9c7e
'))
paddle.fluid.layers.is_empty (ArgSpec(args=['x', 'cond'], varargs=None, keywords=None, defaults=(None,)), ('document', '
bbe578dbb49ad13e15b014e98c22b519
'))
paddle.fluid.layers.is_empty (ArgSpec(args=['x', 'cond'], varargs=None, keywords=None, defaults=(None,)), ('document', '
3011dc695f490afdf504dc24f628319a
'))
paddle.fluid.layers.sigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'a4e395ab004e7da34e94a0a1f9eee183'))
paddle.fluid.layers.sigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'a4e395ab004e7da34e94a0a1f9eee183'))
paddle.fluid.layers.logsigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '5f2508c52e0a797bb9bd5e29d79ede78'))
paddle.fluid.layers.logsigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '5f2508c52e0a797bb9bd5e29d79ede78'))
paddle.fluid.layers.exp (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '41c976b68542f4cbee178640f765d845'))
paddle.fluid.layers.exp (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '41c976b68542f4cbee178640f765d845'))
...
...
python/paddle/fluid/layers/control_flow.py
浏览文件 @
300bd750
...
@@ -169,12 +169,16 @@ def Print(input,
...
@@ -169,12 +169,16 @@ def Print(input,
Examples:
Examples:
.. code-block:: python
.. code-block:: python
value = some_layer(...)
import paddle.fluid as fluid
Print(value, summarize=10,
message="The content of some_layer: ")
input = fluid.layers.data(name="input", shape=[4, 32, 32], dtype="float32")
fluid.layers.Print(input, message = "The content of input layer:")
# value = some_layer(...)
# Print(value, summarize=10,
# message="The content of some_layer: ")
'''
'''
helper
=
LayerHelper
(
'print'
,
**
locals
())
helper
=
LayerHelper
(
'print'
,
**
locals
())
helper
.
append_op
(
helper
.
append_op
(
...
@@ -2060,8 +2064,31 @@ class DynamicRNN(object):
...
@@ -2060,8 +2064,31 @@ class DynamicRNN(object):
method
))
method
))
@
auto
doc
()
@
template
doc
()
def
reorder_lod_tensor_by_rank
(
x
,
rank_table
):
def
reorder_lod_tensor_by_rank
(
x
,
rank_table
):
"""
${comment}
Args:
x(${x_type}): ${x_comment}
rank_table(${rank_table_type}): ${rank_table_type}
Returns:
out(${out_type}): ${out_comment}
Examples:
.. code-block:: python
import paddle.fluid as fluid
data_desc = (['input', [9], 0], ['ref', [5], 1])
data = fluid.layers.data(name=data_desc[0][0], shape=data_desc[0][1])
rank_data = fluid.layers.data(name=data_desc[1][0], shape=data_desc[1][1])
table = fluid.layers.control_flow.lod_rank_table(rank_data)
new_data = fluid.layers.reorder_lod_tensor_by_rank(
x=data, rank_table=table)
"""
helper
=
LayerHelper
(
'reorder_lod_tensor_by_rank'
,
**
locals
())
helper
=
LayerHelper
(
'reorder_lod_tensor_by_rank'
,
**
locals
())
helper
.
is_instance
(
'x'
,
Variable
)
helper
.
is_instance
(
'x'
,
Variable
)
helper
.
is_instance
(
'rank_table'
,
Variable
)
helper
.
is_instance
(
'rank_table'
,
Variable
)
...
@@ -2094,9 +2121,12 @@ def is_empty(x, cond=None):
...
@@ -2094,9 +2121,12 @@ def is_empty(x, cond=None):
Examples:
Examples:
.. code-block:: python
.. code-block:: python
import paddle.fluid as fluid
input = fluid.layers.data(name="input", shape=[4, 32, 32], dtype="float32")
res = fluid.layers.is_empty(x=input)
res = fluid.layers.is_empty(x=input)
# or:
# or:
fluid.layers.is_empty(x=input, cond=res)
# fluid.layers.is_empty(x=input, cond=res)
"""
"""
helper
=
LayerHelper
(
"is_empty"
,
**
locals
())
helper
=
LayerHelper
(
"is_empty"
,
**
locals
())
if
cond
is
None
:
if
cond
is
None
:
...
...
python/paddle/fluid/layers/io.py
浏览文件 @
300bd750
...
@@ -894,6 +894,7 @@ def open_files(filenames,
...
@@ -894,6 +894,7 @@ def open_files(filenames,
Examples:
Examples:
.. code-block:: python
.. code-block:: python
import paddle.fluid. as fluid
reader = fluid.layers.io.open_files(filenames=['./data1.recordio',
reader = fluid.layers.io.open_files(filenames=['./data1.recordio',
'./data2.recordio'],
'./data2.recordio'],
shapes=[(3,224,224), (1,)],
shapes=[(3,224,224), (1,)],
...
@@ -1090,6 +1091,7 @@ def read_file(reader):
...
@@ -1090,6 +1091,7 @@ def read_file(reader):
Examples:
Examples:
.. code-block:: python
.. code-block:: python
import paddle.fluid as fluid
data_file = fluid.layers.open_files(
data_file = fluid.layers.open_files(
filenames=['mnist.recordio'],
filenames=['mnist.recordio'],
shapes=[(-1, 748), (-1, 1)],
shapes=[(-1, 748), (-1, 1)],
...
...
python/paddle/fluid/layers/nn.py
浏览文件 @
300bd750
...
@@ -9875,6 +9875,18 @@ def mul(x, y, x_num_col_dims=1, y_num_col_dims=1, name=None):
...
@@ -9875,6 +9875,18 @@ def mul(x, y, x_num_col_dims=1, y_num_col_dims=1, name=None):
Returns:
Returns:
out(${out_type}): ${out_comment}
out(${out_type}): ${out_comment}
Examples:
.. code-block:: python
import paddle.fluid as fluid
dataX = fluid.layers.data(name="dataX", append_batch_size = False, shape=[2, 5], dtype="float32")
dataY = fluid.layers.data(name="dataY", append_batch_size = False, shape=[5, 3], dtype="float32")
output = fluid.layers.mul(dataX, dataY,
x_num_col_dims = 1,
y_num_col_dims = 1)
"""
"""
helper
=
LayerHelper
(
"mul"
,
**
locals
())
helper
=
LayerHelper
(
"mul"
,
**
locals
())
...
...
python/paddle/fluid/layers/tensor.py
浏览文件 @
300bd750
...
@@ -741,6 +741,14 @@ def has_inf(x):
...
@@ -741,6 +741,14 @@ def has_inf(x):
Returns:
Returns:
Variable: The tensor variable storing the output, only a bool value.
Variable: The tensor variable storing the output, only a bool value.
Examples:
.. code-block:: python
import paddle.fluid as fluid
data = fluid.layers.data(name="input", shape=[4, 32, 32], dtype="float32")
res = fluid.layers.has_inf(data)
"""
"""
helper
=
LayerHelper
(
"isinf"
,
**
locals
())
helper
=
LayerHelper
(
"isinf"
,
**
locals
())
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
x
.
dtype
)
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
x
.
dtype
)
...
@@ -757,6 +765,14 @@ def has_nan(x):
...
@@ -757,6 +765,14 @@ def has_nan(x):
Returns:
Returns:
Variable: The tensor variable storing the output, only a bool value.
Variable: The tensor variable storing the output, only a bool value.
Examples:
.. code-block:: python
import paddle.fluid as fluid
data = fluid.layers.data(name="input", shape=[4, 32, 32], dtype="float32")
res = fluid.layers.has_nan(data)
"""
"""
helper
=
LayerHelper
(
"isnan"
,
**
locals
())
helper
=
LayerHelper
(
"isnan"
,
**
locals
())
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
x
.
dtype
)
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
x
.
dtype
)
...
...
python/paddle/fluid/param_attr.py
浏览文件 @
300bd750
...
@@ -203,10 +203,11 @@ class WeightNormParamAttr(ParamAttr):
...
@@ -203,10 +203,11 @@ class WeightNormParamAttr(ParamAttr):
Examples:
Examples:
.. code-block:: python
.. code-block:: python
import paddle.fluid as fluid
data = fluid.layers.data(name="data", shape=[3, 32, 32], dtype="float32")
data = fluid.layers.data(name="data", shape=[3, 32, 32], dtype="float32")
fc = fluid.layers.fc(input=data,
fc = fluid.layers.fc(input=data,
size=1000,
size=1000,
param_attr=WeightNormParamAttr(
param_attr=
fluid.
WeightNormParamAttr(
dim=None,
dim=None,
name='weight_norm_param'))
name='weight_norm_param'))
...
...
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