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体验新版 GitCode,发现更多精彩内容 >>
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95b896ce
编写于
1月 19, 2018
作者:
C
chengduoZH
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差异文件
update python interface
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259858b4
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1
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1 changed file
with
12 addition
and
9 deletion
+12
-9
python/paddle/v2/fluid/layers/nn.py
python/paddle/v2/fluid/layers/nn.py
+12
-9
未找到文件。
python/paddle/v2/fluid/layers/nn.py
浏览文件 @
95b896ce
...
...
@@ -1702,10 +1702,11 @@ def l2_normalize(x, axis, epsilon=1e-12, name=None):
def
matmul
(
x
,
y
,
transpose_x
=
False
,
transpose_y
=
False
,
name
=
None
):
"""
Applies matrix multipication to two tensors. Currently only rank 1 to rank
3 input tensors are supported.
Applies matrix multiplication to two tensors. Currently, the input
tensors' rank can be any, but when the rank of anyone inputs is
bigger than 3, this two inputs' rank should be equal.
The actual behavior depends on the shapes of :math:`x`, :math:`y` and the
The actual behavior depends on the shapes of :math:`x`, :math:`y` and the
flag values of :attr:`transpose_x`, :attr:`transpose_y`. Specifically:
- If a transpose flag is specified, the last two dimensions of the tensor
...
...
@@ -1715,17 +1716,17 @@ def matmul(x, y, transpose_x=False, transpose_y=False, name=None):
opposite: It is treated as :math:`[D, 1]` in nontransposed form and as
:math:`[1, D]` in transposed form.
- After transpose, the two tensors are 2-D or
3-D and matrix multipication
- After transpose, the two tensors are 2-D or
n-D and matrix multiplication
performs in the following way.
- If both are 2-D, they are multiplied like conventional matrices.
- If either is
3-D, it is treated as a stack of matrices residing in the
- If either is
n-D, it is treated as a stack of matrices residing in the
last two dimensions and a batched matrix multiply supporting broadcast
applies on the two tensors.
Also note that if the raw tensor :math:`x` or :math:`y` is rank-1 and
nontransposed, the prepended or appended dimension :math:`1` will be
removed after matrix multipication.
removed after matrix multip
l
ication.
Args:
x (Variable): The input variable which is a Tensor or LoDTensor.
...
...
@@ -1742,6 +1743,8 @@ def matmul(x, y, transpose_x=False, transpose_y=False, name=None):
.. code-block:: python
# Examples to clarify shapes of the inputs and output
# x: [B, ..., M, K], y: [B, ..., K, N]
fluid.layers.matmul(x, y) # out: [B, ..., M, N]
# x: [B, M, K], y: [B, K, N]
fluid.layers.matmul(x, y) # out: [B, M, N]
# x: [B, M, K], y: [K, N]
...
...
@@ -1757,9 +1760,9 @@ def matmul(x, y, transpose_x=False, transpose_y=False, name=None):
fluid.layers.matmul(x, y, True, True) # out: [M, N]
"""
helper
=
LayerHelper
(
'matmul'
,
**
locals
())
assert
max
(
len
(
x
.
shape
),
len
(
y
.
shape
)
)
<=
3
,
'Currently only rank 1 to rank 3 input tensors are supported
.'
assert
max
(
len
(
x
.
shape
),
len
(
y
.
shape
))
<=
3
or
len
(
x
.
shape
)
==
len
(
y
.
shape
),
'Inputs
\'
rank should be equal or their rank should be less 4
.'
out
=
helper
.
create_tmp_variable
(
dtype
=
helper
.
input_dtype
())
helper
.
append_op
(
type
=
'matmul'
,
...
...
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