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OpenDAS
torch-cluster
Commits
f1628ea0
Commit
f1628ea0
authored
Oct 27, 2020
by
rusty1s
Browse files
return edge indices
parent
e68dcf3b
Changes
1
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1 changed file
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17 additions
and
12 deletions
+17
-12
csrc/cpu/rw_cpu.cpp
csrc/cpu/rw_cpu.cpp
+17
-12
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csrc/cpu/rw_cpu.cpp
View file @
f1628ea0
...
@@ -18,35 +18,40 @@ torch::Tensor random_walk_cpu(torch::Tensor rowptr, torch::Tensor col,
...
@@ -18,35 +18,40 @@ torch::Tensor random_walk_cpu(torch::Tensor rowptr, torch::Tensor col,
auto
rand
=
torch
::
rand
({
start
.
size
(
0
),
walk_length
},
auto
rand
=
torch
::
rand
({
start
.
size
(
0
),
walk_length
},
start
.
options
().
dtype
(
torch
::
kFloat
));
start
.
options
().
dtype
(
torch
::
kFloat
));
auto
out
=
torch
::
empty
({
start
.
size
(
0
),
walk_length
+
1
},
start
.
options
());
auto
n_out
=
torch
::
empty
({
start
.
size
(
0
),
walk_length
+
1
},
start
.
options
());
auto
e_out
=
torch
::
empty
({
start
.
size
(
0
),
walk_length
},
start
.
options
());
auto
rowptr_data
=
rowptr
.
data_ptr
<
int64_t
>
();
auto
rowptr_data
=
rowptr
.
data_ptr
<
int64_t
>
();
auto
col_data
=
col
.
data_ptr
<
int64_t
>
();
auto
col_data
=
col
.
data_ptr
<
int64_t
>
();
auto
start_data
=
start
.
data_ptr
<
int64_t
>
();
auto
start_data
=
start
.
data_ptr
<
int64_t
>
();
auto
rand_data
=
rand
.
data_ptr
<
float
>
();
auto
rand_data
=
rand
.
data_ptr
<
float
>
();
auto
out_data
=
out
.
data_ptr
<
int64_t
>
();
auto
n_out_data
=
n_out
.
data_ptr
<
int64_t
>
();
auto
e_out_data
=
e_out
.
data_ptr
<
int64_t
>
();
int64_t
grain_size
=
at
::
internal
::
GRAIN_SIZE
/
walk_length
;
int64_t
grain_size
=
at
::
internal
::
GRAIN_SIZE
/
walk_length
;
at
::
parallel_for
(
0
,
start
.
numel
(),
grain_size
,
[
&
](
int64_t
b
,
int64_t
e
)
{
at
::
parallel_for
(
0
,
start
.
numel
(),
grain_size
,
[
&
](
int64_t
b
,
int64_t
e
)
{
for
(
auto
n
=
b
;
n
<
e
;
n
++
)
{
for
(
auto
n
=
b
;
n
<
e
;
n
++
)
{
auto
cur
=
start_data
[
n
];
auto
n_cur
=
start_data
[
n
];
int64_t
e_cur
=
-
1
;
auto
offset
=
n
*
(
walk_length
+
1
);
auto
offset
=
n
*
(
walk_length
+
1
);
out_data
[
offset
]
=
cur
;
n_
out_data
[
offset
]
=
n_
cur
;
int64_t
row_start
,
row_end
,
rnd
;
int64_t
row_start
,
row_end
,
rnd
;
for
(
auto
l
=
1
;
l
<
=
walk_length
;
l
++
)
{
for
(
auto
l
=
0
;
l
<
walk_length
;
l
++
)
{
row_start
=
rowptr_data
[
cur
],
row_end
=
rowptr_data
[
cur
+
1
];
row_start
=
rowptr_data
[
n_
cur
],
row_end
=
rowptr_data
[
n_
cur
+
1
];
if
(
row_end
-
row_start
==
0
)
{
if
(
row_end
-
row_start
==
0
)
{
cur
=
n
;
n_cur
=
n
;
e_cur
=
-
1
;
}
else
{
}
else
{
rnd
=
int64_t
(
rand_data
[
n
*
walk_length
+
(
l
-
1
)]
*
rnd
=
int64_t
(
rand_data
[
n
*
walk_length
+
l
]
*
(
row_end
-
row_start
));
(
row_end
-
row_start
))
;
e_cur
=
row_start
+
rnd
;
cur
=
col_data
[
row_start
+
rnd
];
n_
cur
=
col_data
[
e_cur
];
}
}
out_data
[
offset
+
l
]
=
cur
;
n_out_data
[
offset
+
l
+
1
]
=
n_cur
;
e_out_data
[
n
*
walk_length
+
l
]
=
e_cur
;
}
}
}
}
});
});
return
out
;
return
n_
out
;
}
}
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