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05e563b9
编写于
1月 23, 2018
作者:
W
wanghaoshuang
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2 changed file
with
55 addition
and
34 deletion
+55
-34
python/paddle/v2/fluid/layers/nn.py
python/paddle/v2/fluid/layers/nn.py
+45
-34
python/paddle/v2/fluid/tests/test_layers.py
python/paddle/v2/fluid/tests/test_layers.py
+10
-0
未找到文件。
python/paddle/v2/fluid/layers/nn.py
浏览文件 @
05e563b9
...
...
@@ -1974,16 +1974,13 @@ def sequence_reshape(input, new_dim):
def
im2sequence
(
input
,
block_x
=
1
,
block_y
=
1
,
stride_x
=
1
,
stride_y
=
1
,
padding_x
=
0
,
padding_y
=
0
,
filter_size
=
1
,
stride
=
1
,
padding
=
0
,
name
=
None
,
layer_attr
=
None
):
"""
This op use
block
to scan images and convert these images to sequences.
This op use
filter
to scan images and convert these images to sequences.
After expanding, the number of time step are output_height * output_width
for an image, in which output_height and output_width are calculated
by below equation:
...
...
@@ -1995,23 +1992,34 @@ def im2sequence(input,
And the dimension of each time step is block_y * block_x * input.channels.
Args:
input (Variable): The input should be a tensor in NCHW format.
block_x (int): The width of sub block.
block_y (int): The width of sub block.
stride_x (int): The stride size in horizontal direction.
stride_y (int): The stride size in vertical direction.
padding_x (int): The padding size in horizontal direction.
padding_y (int): The padding size in vertical direction.
filter_size(int|tuple|None): The filter size. If filter_size is a tuple,
it must contain two integers, (filter_size_H, filter_size_W).
Otherwise, the filter will be a square.
stride(int|tuple): The stride size. If stride is a tuple, it must
contain two integers, (stride_H, stride_W). Otherwise, the
stride_H = stride_W = stride. Default: stride = 1.
padding(int|tuple): The padding size. If padding is a tuple, it can
contain two integers like (padding_H, padding_W) which means
padding_up = padding_down = padding_H and
padding_left = padding_right = padding_W. Or it can use
(padding_up, padding_left, padding_down, padding_right) to indicate
paddings of four direction. Otherwise, a scalar padding means
padding_up = padding_down = padding_left = padding_right = padding
Default: padding = 0.
name (int): The name of this layer. It is optional.
Returns:
output: The output is a LoDTensor woth shape
{input.batch_size * output_y * x,
block_y * block_x * input.channels}.
If we regard output as matrix, each row of this matrix is a step of sequence.
output: The output is a LoDTensor with shape
{input.batch_size * output_height * output_width,
filter_size_H * filter_size_W * input.channels}.
If we regard output as a matrix, each row of this matrix is
a step of a sequence.
Examples:
...
...
@@ -2041,12 +2049,9 @@ def im2sequence(input,
And:
block_height = 2
block_width = 2
stride_height = 1
stride_width = 1
padding_height = 0
padding_width = 0
filter = [2, 2]
stride = [1, 1]
padding = [0, 0]
Then:
...
...
@@ -2063,15 +2068,24 @@ def im2sequence(input,
output.lod = [[0, 4, 8]]
The simple usage is:
.. code-block:: python
output = fluid.layers.im2sequence(input=layer, stride
_x=1, stride_y=1, block_x=2, block_y=2
)
output = fluid.layers.im2sequence(input=layer, stride
=[1, 1], filter=[2, 2]
)
"""
if
isinstance
(
filter_size
,
int
):
filter_size
=
[
filter_size
,
filter_size
]
if
isinstance
(
stride
,
int
):
stride
=
[
stride
,
stride
]
if
isinstance
(
padding
,
int
):
padding
=
[
padding
,
padding
]
if
len
(
padding
)
==
2
:
padding
.
append
(
padding
[
0
])
padding
.
append
(
padding
[
1
])
helper
=
LayerHelper
(
'im2sequence'
,
**
locals
())
out
=
helper
.
create_tmp_variable
(
dtype
=
helper
.
input_dtype
())
helper
.
append_op
(
...
...
@@ -2079,11 +2093,8 @@ def im2sequence(input,
inputs
=
{
'X'
:
input
},
outputs
=
{
'Out'
:
out
},
attrs
=
{
'block_height'
:
block_y
,
'block_width'
:
block_x
,
'stride_height'
:
stride_y
,
'stride_width'
:
stride_x
,
'padding_height'
:
padding_y
,
'padding_width'
:
padding_x
'kernels'
:
filter_size
,
'strides'
:
stride
,
'paddings'
:
padding
,
})
return
out
python/paddle/v2/fluid/tests/test_layers.py
浏览文件 @
05e563b9
...
...
@@ -225,6 +225,16 @@ class TestBook(unittest.TestCase):
self
.
assertIsNotNone
(
out
)
print
(
str
(
program
))
def
test_im2sequence
(
self
):
print
(
"test_im2sequence"
)
program
=
Program
()
with
program_guard
(
program
):
x
=
layers
.
data
(
name
=
'x'
,
shape
=
[
3
,
128
,
128
],
dtype
=
'float32'
)
output
=
layers
.
im2sequence
(
input
=
x
,
stride
=
[
1
,
1
],
filter_size
=
[
2
,
2
])
self
.
assertIsNotNone
(
output
)
print
(
str
(
program
))
if
__name__
==
'__main__'
:
unittest
.
main
()
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