Skip to content
GitLab
Menu
Projects
Groups
Snippets
Loading...
Help
Help
Support
Community forum
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in
Toggle navigation
Menu
Open sidebar
gaoqiong
MIGraphX
Commits
832f28c6
Unverified
Commit
832f28c6
authored
Mar 02, 2022
by
turneram
Committed by
GitHub
Mar 02, 2022
Browse files
Add ScatterND operator (#1074)
Add onnx parser and ref and gpu implementations of ONNX op ScatterND
parent
bfedcd45
Changes
25
Hide whitespace changes
Inline
Side-by-side
Showing
5 changed files
with
397 additions
and
1 deletion
+397
-1
test/py/onnx_backend_test.py
test/py/onnx_backend_test.py
+0
-1
test/ref_ops_test.cpp
test/ref_ops_test.cpp
+309
-0
test/verify/test_scatternd.cpp
test/verify/test_scatternd.cpp
+30
-0
test/verify/test_scatternd_add.cpp
test/verify/test_scatternd_add.cpp
+30
-0
test/verify/test_scatternd_mul.cpp
test/verify/test_scatternd_mul.cpp
+28
-0
No files found.
test/py/onnx_backend_test.py
View file @
832f28c6
...
@@ -271,7 +271,6 @@ def create_backend_test(testname=None, target_device=None):
...
@@ -271,7 +271,6 @@ def create_backend_test(testname=None, target_device=None):
backend_test
.
exclude
(
r
'test_identity_sequence_cpu'
)
backend_test
.
exclude
(
r
'test_identity_sequence_cpu'
)
backend_test
.
exclude
(
r
'test_maxpool_2d_uint8_cpu'
)
backend_test
.
exclude
(
r
'test_maxpool_2d_uint8_cpu'
)
backend_test
.
exclude
(
r
'test_negative_log_likelihood_loss_*'
)
backend_test
.
exclude
(
r
'test_negative_log_likelihood_loss_*'
)
backend_test
.
exclude
(
r
'test_scatternd_*'
)
# all reduce ops have dynamic axes inputs
# all reduce ops have dynamic axes inputs
backend_test
.
exclude
(
r
'test_size_cpu'
)
backend_test
.
exclude
(
r
'test_size_cpu'
)
...
...
test/ref_ops_test.cpp
View file @
832f28c6
...
@@ -4255,6 +4255,315 @@ TEST_CASE(scatter_test)
...
@@ -4255,6 +4255,315 @@ TEST_CASE(scatter_test)
}
}
}
}
TEST_CASE
(
scatternd_shapes_test
)
{
{
// broadcasted input
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
auto
dtype
=
migraphx
::
shape
::
float_type
;
auto
itype
=
migraphx
::
shape
::
int64_type
;
migraphx
::
shape
is
{
itype
,
{
4
,
1
}};
migraphx
::
shape
us
{
dtype
,
{
4
}};
std
::
vector
<
int64_t
>
ind_vec
{
4
,
3
,
1
,
7
};
std
::
vector
<
float
>
upd_vec
{
9
,
10
,
11
,
12
};
auto
data
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"multibroadcast"
,
{{
"out_lens"
,
{
8
}}}),
mm
->
add_literal
(
migraphx
::
literal
{
0.0
f
}));
auto
indices
=
mm
->
add_literal
(
migraphx
::
literal
{
is
,
ind_vec
});
auto
updates
=
mm
->
add_literal
(
migraphx
::
literal
{
us
,
upd_vec
});
auto
scatternd
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"scatternd_none"
),
data
,
indices
,
updates
);
mm
->
add_return
({
scatternd
});
p
.
compile
(
migraphx
::
ref
::
target
{});
auto
result
=
p
.
eval
({}).
back
();
std
::
vector
<
float
>
results_vector
;
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
std
::
vector
<
float
>
gold
{
0
,
11
,
0
,
10
,
9
,
0
,
0
,
12
};
EXPECT
(
migraphx
::
verify_range
(
results_vector
,
gold
));
}
{
// non-standard shape input
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
auto
dtype
=
migraphx
::
shape
::
float_type
;
auto
itype
=
migraphx
::
shape
::
int64_type
;
migraphx
::
shape
ds
{
dtype
,
{
2
,
2
}};
migraphx
::
shape
is
{
itype
,
{
2
,
2
}};
migraphx
::
shape
us
{
dtype
,
{
2
}};
std
::
vector
<
float
>
data_vec
{
1
,
2
,
3
,
4
};
std
::
vector
<
int64_t
>
ind_vec
{
0
,
0
,
0
,
1
};
std
::
vector
<
float
>
upd_vec
{
5
,
6
};
auto
data
=
mm
->
add_literal
(
migraphx
::
literal
{
ds
,
data_vec
});
auto
td
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"transpose"
,
{{
"permutation"
,
{
1
,
0
}}}),
data
);
auto
indices
=
mm
->
add_literal
(
migraphx
::
literal
{
is
,
ind_vec
});
auto
updates
=
mm
->
add_literal
(
migraphx
::
literal
{
us
,
upd_vec
});
auto
scatternd
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"scatternd_none"
),
td
,
indices
,
updates
);
mm
->
add_return
({
scatternd
});
p
.
compile
(
migraphx
::
ref
::
target
{});
auto
result
=
p
.
eval
({}).
back
();
std
::
vector
<
float
>
results_vector
;
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
std
::
vector
<
float
>
gold
{
5
,
6
,
2
,
4
};
EXPECT
(
migraphx
::
verify_range
(
results_vector
,
gold
));
}
{
// non-standard updates shape
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
auto
dtype
=
migraphx
::
shape
::
float_type
;
auto
itype
=
migraphx
::
shape
::
int64_type
;
migraphx
::
shape
ds
{
dtype
,
{
2
,
2
,
2
}};
migraphx
::
shape
is
{
itype
,
{
2
,
1
,
3
}};
migraphx
::
shape
us
{
dtype
,
{
1
,
2
}};
std
::
vector
<
float
>
data_vec
{
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
};
std
::
vector
<
int64_t
>
ind_vec
{
0
,
0
,
0
,
1
,
1
,
1
};
std
::
vector
<
float
>
upd_vec
{
9
,
10
};
auto
data
=
mm
->
add_literal
(
migraphx
::
literal
{
ds
,
data_vec
});
auto
indices
=
mm
->
add_literal
(
migraphx
::
literal
{
is
,
ind_vec
});
auto
updates
=
mm
->
add_literal
(
migraphx
::
literal
{
us
,
upd_vec
});
auto
tu
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"transpose"
,
{{
"permutation"
,
{
1
,
0
}}}),
updates
);
auto
scatternd
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"scatternd_none"
),
data
,
indices
,
tu
);
mm
->
add_return
({
scatternd
});
p
.
compile
(
migraphx
::
ref
::
target
{});
auto
result
=
p
.
eval
({}).
back
();
std
::
vector
<
float
>
results_vector
;
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
std
::
vector
<
float
>
gold
{
9
,
2
,
3
,
4
,
5
,
6
,
7
,
10
};
EXPECT
(
migraphx
::
verify_range
(
results_vector
,
gold
));
}
}
TEST_CASE
(
scatternd_test
)
{
{
// r=1, q=2, k=1
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
auto
dtype
=
migraphx
::
shape
::
float_type
;
auto
itype
=
migraphx
::
shape
::
int64_type
;
migraphx
::
shape
ds
{
dtype
,
{
8
}};
migraphx
::
shape
is
{
itype
,
{
4
,
1
}};
migraphx
::
shape
us
{
dtype
,
{
4
}};
std
::
vector
<
float
>
data_vec
{
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
};
std
::
vector
<
int64_t
>
ind_vec
{
4
,
3
,
1
,
7
};
std
::
vector
<
float
>
upd_vec
{
9
,
10
,
11
,
12
};
auto
data
=
mm
->
add_literal
(
migraphx
::
literal
{
ds
,
data_vec
});
auto
indices
=
mm
->
add_literal
(
migraphx
::
literal
{
is
,
ind_vec
});
auto
updates
=
mm
->
add_literal
(
migraphx
::
literal
{
us
,
upd_vec
});
auto
scatternd
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"scatternd_none"
),
data
,
indices
,
updates
);
mm
->
add_return
({
scatternd
});
p
.
compile
(
migraphx
::
ref
::
target
{});
auto
result
=
p
.
eval
({}).
back
();
std
::
vector
<
float
>
results_vector
;
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
std
::
vector
<
float
>
gold
{
1
,
11
,
3
,
10
,
9
,
6
,
7
,
12
};
EXPECT
(
migraphx
::
verify_range
(
results_vector
,
gold
));
}
{
// r=2, q=2, k=2
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
auto
dtype
=
migraphx
::
shape
::
float_type
;
auto
itype
=
migraphx
::
shape
::
int64_type
;
migraphx
::
shape
ds
{
dtype
,
{
2
,
2
}};
migraphx
::
shape
is
{
itype
,
{
2
,
2
}};
migraphx
::
shape
us
{
dtype
,
{
2
}};
std
::
vector
<
float
>
data_vec
{
1
,
2
,
3
,
4
};
std
::
vector
<
int64_t
>
ind_vec
{
0
,
0
,
0
,
1
};
std
::
vector
<
float
>
upd_vec
{
5
,
6
};
auto
data
=
mm
->
add_literal
(
migraphx
::
literal
{
ds
,
data_vec
});
auto
indices
=
mm
->
add_literal
(
migraphx
::
literal
{
is
,
ind_vec
});
auto
updates
=
mm
->
add_literal
(
migraphx
::
literal
{
us
,
upd_vec
});
auto
scatternd
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"scatternd_none"
),
data
,
indices
,
updates
);
mm
->
add_return
({
scatternd
});
p
.
compile
(
migraphx
::
ref
::
target
{});
auto
result
=
p
.
eval
({}).
back
();
std
::
vector
<
float
>
results_vector
;
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
std
::
vector
<
float
>
gold
{
5
,
6
,
3
,
4
};
EXPECT
(
migraphx
::
verify_range
(
results_vector
,
gold
));
}
{
// r=3, q=3, k=3
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
auto
dtype
=
migraphx
::
shape
::
float_type
;
auto
itype
=
migraphx
::
shape
::
int64_type
;
migraphx
::
shape
ds
{
dtype
,
{
2
,
2
,
2
}};
migraphx
::
shape
is
{
itype
,
{
2
,
1
,
3
}};
migraphx
::
shape
us
{
dtype
,
{
2
,
1
}};
std
::
vector
<
float
>
data_vec
{
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
};
std
::
vector
<
int64_t
>
ind_vec
{
0
,
0
,
0
,
1
,
1
,
1
};
std
::
vector
<
float
>
upd_vec
{
9
,
10
};
auto
data
=
mm
->
add_literal
(
migraphx
::
literal
{
ds
,
data_vec
});
auto
indices
=
mm
->
add_literal
(
migraphx
::
literal
{
is
,
ind_vec
});
auto
updates
=
mm
->
add_literal
(
migraphx
::
literal
{
us
,
upd_vec
});
auto
scatternd
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"scatternd_none"
),
data
,
indices
,
updates
);
mm
->
add_return
({
scatternd
});
p
.
compile
(
migraphx
::
ref
::
target
{});
auto
result
=
p
.
eval
({}).
back
();
std
::
vector
<
float
>
results_vector
;
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
std
::
vector
<
float
>
gold
{
9
,
2
,
3
,
4
,
5
,
6
,
7
,
10
};
EXPECT
(
migraphx
::
verify_range
(
results_vector
,
gold
));
}
{
// r=3, q=2, k=1
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
auto
dtype
=
migraphx
::
shape
::
float_type
;
auto
itype
=
migraphx
::
shape
::
int64_type
;
migraphx
::
shape
ds
{
dtype
,
{
4
,
4
,
4
}};
migraphx
::
shape
is
{
itype
,
{
2
,
1
}};
migraphx
::
shape
us
{
dtype
,
{
2
,
4
,
4
}};
std
::
vector
<
float
>
data_vec
{
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
,
8
,
7
,
6
,
5
,
4
,
3
,
2
,
1
,
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
,
8
,
7
,
6
,
5
,
4
,
3
,
2
,
1
,
8
,
7
,
6
,
5
,
4
,
3
,
2
,
1
,
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
,
8
,
7
,
6
,
5
,
4
,
3
,
2
,
1
,
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
};
std
::
vector
<
int64_t
>
ind_vec
{
0
,
2
};
std
::
vector
<
float
>
upd_vec
{
5
,
5
,
5
,
5
,
6
,
6
,
6
,
6
,
7
,
7
,
7
,
7
,
8
,
8
,
8
,
8
,
1
,
1
,
1
,
1
,
2
,
2
,
2
,
2
,
3
,
3
,
3
,
3
,
4
,
4
,
4
,
4
};
auto
data
=
mm
->
add_literal
(
migraphx
::
literal
{
ds
,
data_vec
});
auto
indices
=
mm
->
add_literal
(
migraphx
::
literal
{
is
,
ind_vec
});
auto
updates
=
mm
->
add_literal
(
migraphx
::
literal
{
us
,
upd_vec
});
auto
scatternd
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"scatternd_none"
),
data
,
indices
,
updates
);
mm
->
add_return
({
scatternd
});
p
.
compile
(
migraphx
::
ref
::
target
{});
auto
result
=
p
.
eval
({}).
back
();
std
::
vector
<
float
>
results_vector
;
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
std
::
vector
<
float
>
gold
{
5
,
5
,
5
,
5
,
6
,
6
,
6
,
6
,
7
,
7
,
7
,
7
,
8
,
8
,
8
,
8
,
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
,
8
,
7
,
6
,
5
,
4
,
3
,
2
,
1
,
1
,
1
,
1
,
1
,
2
,
2
,
2
,
2
,
3
,
3
,
3
,
3
,
4
,
4
,
4
,
4
,
8
,
7
,
6
,
5
,
4
,
3
,
2
,
1
,
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
};
EXPECT
(
migraphx
::
verify_range
(
results_vector
,
gold
));
}
{
// r=5, q=1, k=1
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
auto
dtype
=
migraphx
::
shape
::
float_type
;
auto
itype
=
migraphx
::
shape
::
int64_type
;
migraphx
::
shape
ds
{
dtype
,
{
2
,
2
,
2
,
2
,
2
}};
migraphx
::
shape
is
{
itype
,
{
1
}};
migraphx
::
shape
us
{
dtype
,
{
2
,
2
,
2
,
2
}};
std
::
vector
<
float
>
data_vec
(
32
,
1
);
std
::
vector
<
int64_t
>
ind_vec
{
1
};
std
::
vector
<
float
>
upd_vec
(
16
,
0
);
auto
data
=
mm
->
add_literal
(
migraphx
::
literal
{
ds
,
data_vec
});
auto
indices
=
mm
->
add_literal
(
migraphx
::
literal
{
is
,
ind_vec
});
auto
updates
=
mm
->
add_literal
(
migraphx
::
literal
{
us
,
upd_vec
});
auto
scatternd
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"scatternd_none"
),
data
,
indices
,
updates
);
mm
->
add_return
({
scatternd
});
p
.
compile
(
migraphx
::
ref
::
target
{});
auto
result
=
p
.
eval
({}).
back
();
std
::
vector
<
float
>
results_vector
;
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
std
::
vector
<
float
>
gold
(
32
,
0
);
std
::
copy
(
data_vec
.
begin
(),
data_vec
.
begin
()
+
16
,
gold
.
begin
());
EXPECT
(
migraphx
::
verify_range
(
results_vector
,
gold
));
}
}
TEST_CASE
(
scatternd_reduction_test
)
{
{
// reduction = add
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
auto
dtype
=
migraphx
::
shape
::
float_type
;
auto
itype
=
migraphx
::
shape
::
int64_type
;
migraphx
::
shape
ds
{
dtype
,
{
8
}};
migraphx
::
shape
is
{
itype
,
{
8
,
1
}};
migraphx
::
shape
us
{
dtype
,
{
8
}};
std
::
vector
<
float
>
data_vec
{
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
};
std
::
vector
<
int64_t
>
ind_vec
{
4
,
3
,
1
,
7
,
4
,
3
,
1
,
7
};
std
::
vector
<
float
>
upd_vec
{
9
,
10
,
11
,
12
,
-
8
,
-
9
,
-
10
,
-
11
};
auto
data
=
mm
->
add_literal
(
migraphx
::
literal
{
ds
,
data_vec
});
auto
indices
=
mm
->
add_literal
(
migraphx
::
literal
{
is
,
ind_vec
});
auto
updates
=
mm
->
add_literal
(
migraphx
::
literal
{
us
,
upd_vec
});
auto
scatternd
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"scatternd_add"
),
data
,
indices
,
updates
);
mm
->
add_return
({
scatternd
});
p
.
compile
(
migraphx
::
ref
::
target
{});
auto
result
=
p
.
eval
({}).
back
();
std
::
vector
<
float
>
results_vector
;
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
std
::
vector
<
float
>
gold
{
1
,
3
,
3
,
5
,
6
,
6
,
7
,
9
};
EXPECT
(
migraphx
::
verify_range
(
results_vector
,
gold
));
}
{
// reduction = mul
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
auto
dtype
=
migraphx
::
shape
::
float_type
;
auto
itype
=
migraphx
::
shape
::
int64_type
;
migraphx
::
shape
ds
{
dtype
,
{
8
}};
migraphx
::
shape
is
{
itype
,
{
4
,
1
}};
migraphx
::
shape
us
{
dtype
,
{
4
}};
std
::
vector
<
float
>
data_vec
{
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
};
std
::
vector
<
int64_t
>
ind_vec
{
4
,
3
,
1
,
7
};
std
::
vector
<
float
>
upd_vec
{
9
,
10
,
11
,
12
};
auto
data
=
mm
->
add_literal
(
migraphx
::
literal
{
ds
,
data_vec
});
auto
indices
=
mm
->
add_literal
(
migraphx
::
literal
{
is
,
ind_vec
});
auto
updates
=
mm
->
add_literal
(
migraphx
::
literal
{
us
,
upd_vec
});
auto
scatternd
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"scatternd_mul"
),
data
,
indices
,
updates
);
mm
->
add_return
({
scatternd
});
p
.
compile
(
migraphx
::
ref
::
target
{});
auto
result
=
p
.
eval
({}).
back
();
std
::
vector
<
float
>
results_vector
;
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
std
::
vector
<
float
>
gold
{
1
,
22
,
3
,
40
,
45
,
6
,
7
,
96
};
EXPECT
(
migraphx
::
verify_range
(
results_vector
,
gold
));
}
}
TEST_CASE
(
sigmoid_test
)
TEST_CASE
(
sigmoid_test
)
{
{
migraphx
::
program
p
;
migraphx
::
program
p
;
...
...
test/verify/test_scatternd.cpp
0 → 100644
View file @
832f28c6
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/make_op.hpp>
struct
test_scatternd
:
verify_program
<
test_scatternd
>
{
migraphx
::
program
create_program
()
const
{
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
auto
dtype
=
migraphx
::
shape
::
float_type
;
auto
itype
=
migraphx
::
shape
::
int64_type
;
migraphx
::
shape
ds
{
dtype
,
{
1
}};
migraphx
::
shape
is
{
itype
,
{
4
,
1
}};
migraphx
::
shape
us
{
dtype
,
{
4
}};
std
::
vector
<
int64_t
>
ind_vec
{
4
,
3
,
1
,
7
};
auto
ld
=
mm
->
add_literal
(
migraphx
::
literal
{
ds
,
{
1
}});
auto
data
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"multibroadcast"
,
{{
"out_lens"
,
{
8
}}}),
ld
);
auto
indices
=
mm
->
add_literal
(
migraphx
::
literal
{
is
,
ind_vec
});
auto
updates
=
mm
->
add_parameter
(
"update"
,
us
);
auto
scatternd
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"scatternd_none"
),
data
,
indices
,
updates
);
mm
->
add_return
({
scatternd
});
return
p
;
}
};
test/verify/test_scatternd_add.cpp
0 → 100644
View file @
832f28c6
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/make_op.hpp>
struct
test_scatternd_add
:
verify_program
<
test_scatternd_add
>
{
migraphx
::
program
create_program
()
const
{
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
auto
dtype
=
migraphx
::
shape
::
float_type
;
auto
itype
=
migraphx
::
shape
::
int64_type
;
migraphx
::
shape
ds
{
dtype
,
{
8
}};
migraphx
::
shape
is
{
itype
,
{
1
,
4
}};
migraphx
::
shape
us
{
dtype
,
{
4
}};
std
::
vector
<
int64_t
>
ind_vec
{
4
,
3
,
1
,
7
};
auto
data
=
mm
->
add_parameter
(
"data"
,
ds
);
auto
indices
=
mm
->
add_literal
(
migraphx
::
literal
{
is
,
ind_vec
});
auto
t_ind
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"transpose"
,
{{
"permutation"
,
{
1
,
0
}}}),
indices
);
auto
updates
=
mm
->
add_parameter
(
"update"
,
us
);
auto
scatternd
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"scatternd_add"
),
data
,
t_ind
,
updates
);
mm
->
add_return
({
scatternd
});
return
p
;
}
};
test/verify/test_scatternd_mul.cpp
0 → 100644
View file @
832f28c6
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/make_op.hpp>
struct
test_scatternd_mul
:
verify_program
<
test_scatternd_mul
>
{
migraphx
::
program
create_program
()
const
{
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
auto
dtype
=
migraphx
::
shape
::
float_type
;
auto
itype
=
migraphx
::
shape
::
int64_type
;
migraphx
::
shape
ds
{
dtype
,
{
8
}};
migraphx
::
shape
is
{
itype
,
{
4
,
1
}};
migraphx
::
shape
us
{
dtype
,
{
4
}};
std
::
vector
<
int64_t
>
ind_vec
{
4
,
3
,
1
,
7
};
auto
data
=
mm
->
add_parameter
(
"data"
,
ds
);
auto
indices
=
mm
->
add_literal
(
migraphx
::
literal
{
is
,
ind_vec
});
auto
updates
=
mm
->
add_parameter
(
"update"
,
us
);
auto
scatternd
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"scatternd_mul"
),
data
,
indices
,
updates
);
mm
->
add_return
({
scatternd
});
return
p
;
}
};
Prev
1
2
Next
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
.
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment