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体验新版 GitCode,发现更多精彩内容 >>
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3b7b8528
编写于
4月 01, 2022
作者:
D
danleifeng
提交者:
GitHub
4月 01, 2022
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edit fused_seqpool_cvm doc; test=develop (#41192)
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python/paddle/fluid/contrib/layers/nn.py
python/paddle/fluid/contrib/layers/nn.py
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python/paddle/fluid/contrib/layers/nn.py
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@@ -530,21 +530,44 @@ def fused_seqpool_cvm(input,
use_cvm
=
True
,
cvm_offset
=
2
):
"""
**Embedding Sequence pool**
:api_attr: Static Graph
This
layer is the fusion of sequence_pool and continuous_value_model
.
This
OP is the fusion of sequence_pool and continuous_value_model op
.
**Note
s:
The Op only receives List of LoDTensor as input, only support SUM pooling now.
**Note
:**
The Op only receives List of LoDTensor as input, only support SUM pooling now.
Args:
input(Variable|list of Variable): Input is List of LoDTensor.
pool_type(str): pooling type, only support SUM pooling now.
cvm(Variable): cvm Variable.
pad_value(float): padding value of sequence pool.
use_cvm(bool): use cvm or not.
pad_value(float, optional): padding value of sequence pool. Default: 0.0.
use_cvm(bool, optional): use cvm or not. Default: True.
cvm_offset(int, optional): cvm offset. Default: 2, which means cvm contains show, click.
Returns:
Variable|list of Variable: The tensor variable storing sequence pool and cvm
of input.
Examples:
.. code-block:: python
import paddle
import paddle.fluid as fluid
paddle.enable_static()
data = paddle.static.data(name='x', shape=[-1, 1], dtype='int64', lod_level=1)
data2 = paddle.static.data(name='y', shape=[-1, 1], dtype='int64', lod_level=1)
inputs = [data, data2]
embs = fluid.layers.nn._pull_box_sparse(input=inputs, size=11, is_distributed=True, is_sparse=True)
label = paddle.static.data(name="label", shape=[-1, 1], dtype="int64", lod_level=1)
ones = fluid.layers.fill_constant_batch_size_like(input=label, shape=[-1, 1], dtype="int64", value=1)
show_clk = paddle.cast(paddle.concat([ones, label], axis=1), dtype='float32')
show_clk.stop_gradient = True
cvms = fluid.contrib.layers.fused_seqpool_cvm(embs, 'sum', show_clk)
"""
helper
=
LayerHelper
(
'fused_seqpool_cvm'
,
**
locals
())
...
...
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