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testgroup
pytensor
Commits
925eca70
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925eca70
authored
6月 10, 2009
作者:
Frederic Bastien
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电子邮件补丁
差异文件
made the ConvOp gemm implementation work with float.
上级
e73c5328
隐藏空白字符变更
内嵌
并排
正在显示
1 个修改的文件
包含
8 行增加
和
5 行删除
+8
-5
conv.py
theano/sandbox/conv.py
+8
-5
没有找到文件。
theano/sandbox/conv.py
浏览文件 @
925eca70
...
@@ -88,7 +88,6 @@ class ConvOp(Op):
...
@@ -88,7 +88,6 @@ class ConvOp(Op):
def
make_node
(
self
,
inputs
,
kerns
):
def
make_node
(
self
,
inputs
,
kerns
):
# TODO: find a way to make ConvOp work for N-D (after NIPS09)
# TODO: find a way to make ConvOp work for N-D (after NIPS09)
outdim
=
kerns
.
ndim
outdim
=
kerns
.
ndim
print
inputs
.
type
.
dtype
,
kerns
.
type
.
dtype
if
inputs
.
type
.
dtype
!=
kerns
.
type
.
dtype
:
if
inputs
.
type
.
dtype
!=
kerns
.
type
.
dtype
:
raise
Exception
(
"The image and the kernel must have the same type."
raise
Exception
(
"The image and the kernel must have the same type."
"inputs(
%
s), kerns(
%
s)"
%
(
inputs
.
dtype
,
kerns
.
dtype
))
"inputs(
%
s), kerns(
%
s)"
%
(
inputs
.
dtype
,
kerns
.
dtype
))
...
@@ -229,6 +228,8 @@ using namespace std;
...
@@ -229,6 +228,8 @@ using namespace std;
if
node
.
inputs
[
0
]
.
type
.
dtype
==
"float32"
:
d
[
"type"
]
=
"float"
if
node
.
inputs
[
0
]
.
type
.
dtype
==
"float32"
:
d
[
"type"
]
=
"float"
elif
node
.
inputs
[
0
]
.
type
.
dtype
==
"float64"
:
d
[
"type"
]
=
"double"
elif
node
.
inputs
[
0
]
.
type
.
dtype
==
"float64"
:
d
[
"type"
]
=
"double"
else
:
raise
Exception
(
"Type
%
s not implemented"
%
node
.
inputs
[
0
]
.
type
.
dtype
)
else
:
raise
Exception
(
"Type
%
s not implemented"
%
node
.
inputs
[
0
]
.
type
.
dtype
)
d
[
"gemm"
]
=
'dgemm_'
if
d
[
"type"
]
==
"double"
else
'sgemm_'
if
self
.
unroll_batch
>
0
or
self
.
unroll_kern
>
0
:
if
self
.
unroll_batch
>
0
or
self
.
unroll_kern
>
0
:
if
self
.
unroll_batch
<=
0
:
self
.
unroll_batch
=
1
if
self
.
unroll_batch
<=
0
:
self
.
unroll_batch
=
1
if
self
.
unroll_kern
<=
0
:
self
.
unroll_kern
=
1
if
self
.
unroll_kern
<=
0
:
self
.
unroll_kern
=
1
...
@@ -238,8 +239,10 @@ using namespace std;
...
@@ -238,8 +239,10 @@ using namespace std;
#TODO: should we choose the unroll size automatically with the bigger divisor under 5?
#TODO: should we choose the unroll size automatically with the bigger divisor under 5?
if
self
.
out_mode
==
'valid'
:
if
self
.
out_mode
==
'valid'
:
# print "return gemm version"
return
_conv_op_code_valid_gemm
%
d
return
_conv_op_code_valid_gemm
%
d
else
:
else
:
# print "return no gemm version"
return
_conv_op_code_a
%
d
return
_conv_op_code_a
%
d
def
convolve2
(
kerns
,
kshp
,
nkern
,
images
,
imshp
,
bsize
,
step
=
(
1
,
1
),
def
convolve2
(
kerns
,
kshp
,
nkern
,
images
,
imshp
,
bsize
,
step
=
(
1
,
1
),
...
@@ -630,12 +633,12 @@ for(int b=0;b< %(self_bsize)s;b++){
...
@@ -630,12 +633,12 @@ for(int b=0;b< %(self_bsize)s;b++){
int Nz0 = Os[0];
int Nz0 = Os[0];
int Nz1 = NKERN;
int Nz1 = NKERN;
int K = kerns_dim[3];
int K = kerns_dim[3];
double
alpha = 1.0;
%(type)
s
alpha = 1.0;
double
beta = stackidx ? 1.0 : 0.0;
%(type)
s
beta = stackidx ? 1.0 : 0.0;
int imgview_stride = dim_im[1];
int imgview_stride = dim_im[1];
int filter_rows_stride =kerns_dim[1]*kerns_dim[2]*kerns_dim[3];
int filter_rows_stride =kerns_dim[1]*kerns_dim[2]*kerns_dim[3];
//remember, Fortran wants a column-major interpretation
//remember, Fortran wants a column-major interpretation
assert(img2d->strides[3] == sizeof(
double
));
assert(img2d->strides[3] == sizeof(
%(type)
s
));
if (0){
if (0){
std::cerr << "b " << b << " img_col " << img_col << " filterrow " << filter_row << " stackidx " <<stackidx << "
\\
n";
std::cerr << "b " << b << " img_col " << img_col << " filterrow " << filter_row << " stackidx " <<stackidx << "
\\
n";
...
@@ -657,7 +660,7 @@ for(int b=0;b< %(self_bsize)s;b++){
...
@@ -657,7 +660,7 @@ for(int b=0;b< %(self_bsize)s;b++){
std::cerr << Nz1 << " " << Nz0 << " " << K << "
\\
n" ;
std::cerr << Nz1 << " " << Nz0 << " " << K << "
\\
n" ;
}
}
dgemm_
(&T, &N,
%(gemm)
s
(&T, &N,
&Nz1, &Nz0, &K,
&Nz1, &Nz0, &K,
&alpha,
&alpha,
filter_rows, &filter_rows_stride,
filter_rows, &filter_rows_stride,
...
...
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