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体验新版 GitCode,发现更多精彩内容 >>
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297a1698
编写于
6月 14, 2018
作者:
W
wanghaoshuang
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电子邮件补丁
差异文件
Fix doc of warpctc, array_read, edit_distance and sequence_reshape.
上级
e0a8c584
变更
2
展开全部
隐藏空白更改
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Showing
2 changed file
with
522 addition
and
283 deletion
+522
-283
python/paddle/fluid/layers/control_flow.py
python/paddle/fluid/layers/control_flow.py
+39
-24
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+483
-259
未找到文件。
python/paddle/fluid/layers/control_flow.py
浏览文件 @
297a1698
...
...
@@ -13,7 +13,7 @@
# limitations under the License.
import
contextlib
from
layer_function_generator
import
autodoc
from
layer_function_generator
import
autodoc
,
templatedoc
from
tensor
import
assign
,
fill_constant
from
..
import
core
from
..framework
import
Program
,
Variable
,
Operator
...
...
@@ -721,26 +721,22 @@ def lod_rank_table(x, level=0):
return
table
@
templatedoc
()
def
max_sequence_len
(
rank_table
):
"""Max Sequence Len Operator. Given a LoDRankTable object, this layer
returns the max length of a batch of sequences. In fact, a LoDRankTable
object contains a list of tuples(<sequence index, sequence length>) and
the list is already sorted by sequence length in descending order, so the
operator just returns the sequence length of the first tuple element.
"""
${comment}
>>> import paddle.fluid as fluid
>>> x = fluid.layers.data(name='x', shape=[10], dtype='float32',
>>> lod_level=1)
>>> rank_table = layers.lod_rank_table(x=x, level=0)
>>> max_seq_len = layers.max_sequence_len(rank_table)
Args:
rank_table
(Variable): Input variable which is a LoDRankTable object
.
rank_table
(${rank_table_type}): ${rank_table_comment}
.
Returns:
Variable: The max length of sequence.
Examples:
.. code-block:: python
x = fluid.layers.data(name='x', shape=[10],
dtype='float32', lod_level=1)
rank_table = layers.lod_rank_table(x=x, level=0)
max_seq_len = layers.max_sequence_len(rank_table)
${out_comment}.
"""
helper
=
LayerHelper
(
"max_seqence_len"
,
**
locals
())
res
=
helper
.
create_tmp_variable
(
dtype
=
"int64"
)
...
...
@@ -978,19 +974,38 @@ def equal(x, y, cond=None, **ignored):
def
array_read
(
array
,
i
):
"""This function performs the operation to read the data in as an
"""
This function performs the operation to read the data in as an
LOD_TENSOR_ARRAY.
.. code-block:: text
Given:
array = [0.6, 0.1, 0.3, 0.1]
And:
i = 2
Then:
output = 0.3
Args:
array (Variable|list): The input tensor that
will be written to an array
.
i (Variable|list): The
subscript index in tensor array, that points the
place where data will be written to.
array (Variable|list): The input tensor that
store data to be read
.
i (Variable|list): The
index of the data to be read from input array.
Returns:
Variable: The tensor type variable that has the data written to it.
Examples:
.. code-block::python
tmp = fluid.layers.zeros(shape=[10], dtype='int32')
i = fluid.layers.fill_constant(shape=[1], dtype='int64', value=10)
arr = layers.array_read(tmp, i=i)
.. code-block:: python
tmp = fluid.layers.zeros(shape=[10], dtype='int32')
i = fluid.layers.fill_constant(shape=[1], dtype='int64', value=10)
arr = layers.array_read(tmp, i=i)
"""
helper
=
LayerHelper
(
'array_read'
,
**
locals
())
if
not
isinstance
(
...
...
python/paddle/fluid/layers/nn.py
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