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c27554ac
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c27554ac
编写于
11月 12, 2018
作者:
Q
Qiao Longfei
提交者:
GitHub
11月 12, 2018
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Merge pull request #14336 from jacquesqiao/add_bilinear_tensor_product_layer
add bilinear_tensor_product layer
上级
4d546f60
4d6f7515
变更
3
隐藏空白更改
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Showing
3 changed file
with
81 addition
and
0 deletion
+81
-0
paddle/fluid/API.spec
paddle/fluid/API.spec
+1
-0
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+70
-0
python/paddle/fluid/tests/unittests/test_layers.py
python/paddle/fluid/tests/unittests/test_layers.py
+10
-0
未找到文件。
paddle/fluid/API.spec
浏览文件 @
c27554ac
...
...
@@ -184,6 +184,7 @@ paddle.fluid.layers.hash ArgSpec(args=['input', 'hash_size', 'num_hash', 'name']
paddle.fluid.layers.grid_sampler ArgSpec(args=['x', 'grid', 'name'], varargs=None, keywords=None, defaults=(None,))
paddle.fluid.layers.log_loss ArgSpec(args=['input', 'label', 'epsilon', 'name'], varargs=None, keywords=None, defaults=(0.0001, None))
paddle.fluid.layers.add_position_encoding ArgSpec(args=['input', 'alpha', 'beta', 'name'], varargs=None, keywords=None, defaults=(None,))
paddle.fluid.layers.bilinear_tensor_product ArgSpec(args=['x', 'y', 'size', 'act', 'name', 'param_attr', 'bias_attr'], varargs=None, keywords=None, defaults=(None, None, None, None))
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))
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))
paddle.fluid.layers.read_file ArgSpec(args=['reader'], varargs=None, keywords=None, defaults=None)
...
...
python/paddle/fluid/layers/nn.py
浏览文件 @
c27554ac
...
...
@@ -165,6 +165,7 @@ __all__ = [
'grid_sampler'
,
'log_loss'
,
'add_position_encoding'
,
'bilinear_tensor_product'
,
]
...
...
@@ -8289,3 +8290,72 @@ def add_position_encoding(input, alpha, beta, name=None):
attrs
=
{
"alpha"
:
alpha
,
"beta"
:
beta
})
return
out
def
bilinear_tensor_product
(
x
,
y
,
size
,
act
=
None
,
name
=
None
,
param_attr
=
None
,
bias_attr
=
None
):
"""
**Add Bilinear Tensor Product Layer**
This layer performs bilinear tensor product on two inputs.
For example:
.. math::
out{i} = x * W_{i} * {y^\mathrm{T}}, i=0,1,...,size-1
In this formula:
- :math:`x`: the first input contains M elements, shape is [batch_size, M].
- :math:`y`: the second input contains N elements, shape is [batch_size, N].
- :math:`W_{i}`: the i-th learned weight, shape is [M, N]
- :math:`out{i}`: the i-th element of out, shape is [batch_size, size].
- :math:`y^\mathrm{T}`: the transpose of :math:`y_{2}`.
Args:
x (Variable): 2-D input tensor with shape [batch_size, M]
y (Variable): 2-D input tensor with shape [batch_size, N]
size (int): The dimension of this layer.
act (str, default None): Activation to be applied to the output of this layer.
name (str, default None): The name of this layer.
param_attr (ParamAttr, default None): The parameter attribute for the learnable w.
parameters/weights of this layer.
bias_attr (ParamAttr, default None): The parameter attribute for the bias
of this layer. If it is set to False, no bias will be added to the output units.
If it is set to None, the bias is initialized zero. Default: None.
Returns:
Variable: A 2-D Tensor of shape [batch_size, size].
Examples:
.. code-block:: python
tensor = bilinear_tensor_product(x=layer1, y=layer2, size=1000)
"""
helper
=
LayerHelper
(
'bilinear_tensor_product'
,
**
locals
())
dtype
=
helper
.
input_dtype
(
'x'
)
param_shape
=
[
size
,
x
.
shape
[
1
],
y
.
shape
[
1
]]
w
=
helper
.
create_parameter
(
attr
=
helper
.
param_attr
,
shape
=
param_shape
,
dtype
=
dtype
,
is_bias
=
False
)
if
name
is
None
:
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
dtype
)
else
:
out
=
helper
.
create_variable
(
name
=
name
,
dtype
=
dtype
,
persistable
=
False
)
inputs
=
{
"X"
:
x
,
"Y"
:
y
,
"Weight"
:
w
}
if
helper
.
bias_attr
:
bias_size
=
[
1
,
size
]
bias
=
helper
.
create_parameter
(
attr
=
helper
.
bias_attr
,
shape
=
bias_size
,
dtype
=
dtype
,
is_bias
=
True
)
inputs
[
"Bias"
]
=
bias
helper
.
append_op
(
type
=
"bilinear_tensor_product"
,
inputs
=
inputs
,
outputs
=
{
"Out"
:
out
})
# add activation
return
helper
.
append_activation
(
out
)
python/paddle/fluid/tests/unittests/test_layers.py
浏览文件 @
c27554ac
...
...
@@ -911,6 +911,16 @@ class TestBook(unittest.TestCase):
self
.
assertIsNotNone
(
data_1
)
print
(
str
(
program
))
def
test_bilinear_tensor_product_layer
(
self
):
program
=
Program
()
with
program_guard
(
program
):
data
=
layers
.
data
(
name
=
'data'
,
shape
=
[
4
],
dtype
=
"float32"
)
theta
=
layers
.
data
(
name
=
"theta"
,
shape
=
[
5
],
dtype
=
"float32"
)
out
=
layers
.
bilinear_tensor_product
(
data
,
theta
,
6
)
print
(
str
(
program
))
if
__name__
==
'__main__'
:
unittest
.
main
()
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