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gaoqiong
MIGraphX
Commits
8a18175b
Commit
8a18175b
authored
May 09, 2019
by
Shucai Xiao
Browse files
add tests for quant_convoluation.
parent
040bbf04
Changes
3
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Inline
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Showing
3 changed files
with
213 additions
and
1 deletion
+213
-1
test/cpu_ops_test.cpp
test/cpu_ops_test.cpp
+119
-1
test/gpu/miopen.cpp
test/gpu/miopen.cpp
+66
-0
test/op_shape_test.cpp
test/op_shape_test.cpp
+28
-0
No files found.
test/cpu_ops_test.cpp
View file @
8a18175b
...
...
@@ -1371,7 +1371,125 @@ TEST_CASE(quant_conv2d_test)
81666
,
82746
};
std
::
vector
<
float
>
results_vector
(
16
);
std
::
vector
<
float
>
results_vector
;
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
EXPECT
(
migraphx
::
verify_range
(
results_vector
,
s
));
}
TEST_CASE
(
quant_conv2d_test_default_mode
)
{
migraphx
::
program
p
;
migraphx
::
shape
a_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
4
,
4
}};
std
::
vector
<
int8_t
>
a
(
2
*
3
*
4
*
4
);
std
::
iota
(
a
.
begin
(),
a
.
end
(),
0
);
auto
al
=
p
.
add_literal
(
migraphx
::
literal
{
a_shape
,
a
});
migraphx
::
shape
c_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
3
,
3
}};
std
::
vector
<
int8_t
>
c
(
2
*
3
*
3
*
3
);
std
::
iota
(
c
.
begin
(),
c
.
end
(),
0
);
auto
cl
=
p
.
add_literal
(
migraphx
::
literal
{
c_shape
,
c
});
p
.
add_instruction
(
migraphx
::
op
::
quant_convolution
{{{
0
,
0
}},
{{
1
,
1
}},
{{
1
,
1
}},
migraphx
::
op
::
same
},
al
,
cl
);
p
.
compile
(
migraphx
::
cpu
::
target
{});
auto
result
=
p
.
eval
({});
std
::
vector
<
float
>
s
=
{
10197
,
10548
,
6939
,
3420
,
11601
,
11952
,
7839
,
3852
,
7383
,
7590
,
4953
,
2421
,
3480
,
3570
,
2316
,
1125
,
25506
,
26586
,
17874
,
9009
,
29826
,
30906
,
20718
,
10413
,
20505
,
21198
,
14187
,
7119
,
10527
,
10860
,
7257
,
3636
,
27045
,
27396
,
17739
,
8604
,
28449
,
28800
,
18639
,
9036
,
17319
,
17526
,
11289
,
5445
,
7800
,
7890
,
5052
,
2421
,
77346
,
78426
,
52002
,
25857
,
81666
,
82746
,
54846
,
27261
,
53769
,
54462
,
36075
,
17919
,
26511
,
26844
,
17769
,
8820
};
std
::
vector
<
float
>
results_vector
;
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
EXPECT
(
migraphx
::
verify_range
(
results_vector
,
s
));
}
TEST_CASE
(
quant_conv2d_test_valid_mode
)
{
migraphx
::
program
p
;
migraphx
::
shape
a_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
4
,
4
}};
std
::
vector
<
int8_t
>
a
(
2
*
3
*
4
*
4
);
std
::
iota
(
a
.
begin
(),
a
.
end
(),
0
);
auto
al
=
p
.
add_literal
(
migraphx
::
literal
{
a_shape
,
a
});
migraphx
::
shape
c_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
3
,
3
}};
std
::
vector
<
int8_t
>
c
(
2
*
3
*
3
*
3
);
std
::
iota
(
c
.
begin
(),
c
.
end
(),
0
);
auto
cl
=
p
.
add_literal
(
migraphx
::
literal
{
c_shape
,
c
});
p
.
add_instruction
(
migraphx
::
op
::
quant_convolution
{{{
0
,
0
}},
{{
1
,
1
}},
{{
1
,
1
}},
migraphx
::
op
::
valid
},
al
,
cl
);
p
.
compile
(
migraphx
::
cpu
::
target
{});
auto
result
=
p
.
eval
({});
std
::
vector
<
float
>
s
=
{
10197
,
10548
,
11601
,
11952
,
25506
,
26586
,
29826
,
30906
,
27045
,
27396
,
28449
,
28800
,
77346
,
78426
,
81666
,
82746
};
std
::
vector
<
float
>
results_vector
;
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
EXPECT
(
migraphx
::
verify_range
(
results_vector
,
s
));
}
TEST_CASE
(
quant_conv2d_padding_test
)
{
migraphx
::
program
p
;
migraphx
::
shape
a_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
4
,
4
}};
std
::
vector
<
int8_t
>
a
(
2
*
3
*
4
*
4
);
std
::
iota
(
a
.
begin
(),
a
.
end
(),
0
);
auto
al
=
p
.
add_literal
(
migraphx
::
literal
{
a_shape
,
a
});
migraphx
::
shape
c_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
3
,
3
}};
std
::
vector
<
int8_t
>
c
(
2
*
3
*
3
*
3
);
std
::
iota
(
c
.
begin
(),
c
.
end
(),
0
);
auto
cl
=
p
.
add_literal
(
migraphx
::
literal
{
c_shape
,
c
});
p
.
add_instruction
(
migraphx
::
op
::
quant_convolution
{{{
1
,
1
}},
{{
1
,
1
}}},
al
,
cl
);
p
.
compile
(
migraphx
::
cpu
::
target
{});
auto
result
=
p
.
eval
({});
std
::
vector
<
float
>
s
=
{
4521
,
6753
,
7014
,
4635
,
6858
,
10197
,
10548
,
6939
,
7830
,
11601
,
11952
,
7839
,
5007
,
7383
,
7590
,
4953
,
10515
,
15987
,
16734
,
11277
,
16821
,
25506
,
26586
,
17874
,
19737
,
29826
,
30906
,
20718
,
13593
,
20505
,
21198
,
14187
,
13161
,
19281
,
19542
,
12699
,
18522
,
27045
,
27396
,
17739
,
19494
,
28449
,
28800
,
18639
,
11919
,
17319
,
17526
,
11289
,
34707
,
51843
,
52590
,
34893
,
51813
,
77346
,
78426
,
52002
,
54729
,
81666
,
82746
,
54846
,
36057
,
53769
,
54462
,
36075
};
std
::
vector
<
float
>
results_vector
;
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
EXPECT
(
migraphx
::
verify_range
(
results_vector
,
s
));
}
TEST_CASE
(
quant_conv2d_padding_stride_test
)
{
migraphx
::
program
p
;
migraphx
::
shape
a_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
4
,
4
}};
std
::
vector
<
int8_t
>
a
(
2
*
3
*
4
*
4
);
std
::
iota
(
a
.
begin
(),
a
.
end
(),
0
);
auto
al
=
p
.
add_literal
(
migraphx
::
literal
{
a_shape
,
a
});
migraphx
::
shape
c_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
3
,
3
}};
std
::
vector
<
int8_t
>
c
(
2
*
3
*
3
*
3
);
std
::
iota
(
c
.
begin
(),
c
.
end
(),
0
);
auto
cl
=
p
.
add_literal
(
migraphx
::
literal
{
c_shape
,
c
});
p
.
add_instruction
(
migraphx
::
op
::
quant_convolution
{{{
1
,
1
}},
{{
2
,
2
}}},
al
,
cl
);
p
.
compile
(
migraphx
::
cpu
::
target
{});
auto
result
=
p
.
eval
({});
std
::
vector
<
float
>
s
=
{
4521
,
7014
,
7830
,
11952
,
10515
,
16734
,
19737
,
30906
,
13161
,
19542
,
19494
,
28800
,
34707
,
52590
,
54729
,
82746
};
std
::
vector
<
float
>
results_vector
;
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
EXPECT
(
migraphx
::
verify_range
(
results_vector
,
s
));
}
...
...
test/gpu/miopen.cpp
View file @
8a18175b
...
...
@@ -1490,6 +1490,72 @@ struct test_conv_bn_relu_pooling : verify_program<test_conv_bn_relu_pooling>
}
};
struct
quant_conv
:
verify_program
<
quant_conv
>
{
migraphx
::
program
create_program
()
{
migraphx
::
program
p
;
migraphx
::
shape
a_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
4
,
4
}};
auto
pa
=
p
.
add_parameter
(
"a"
,
a_shape
);
migraphx
::
shape
c_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
3
,
3
}};
auto
pc
=
p
.
add_parameter
(
"c"
,
c_shape
);
p
.
add_instruction
(
migraphx
::
op
::
quant_convolution
{},
pa
,
pc
);
return
p
;
}
};
struct
quant_conv_default_mode
:
verify_program
<
quant_conv_default_mode
>
{
migraphx
::
program
create_program
()
{
migraphx
::
program
p
;
migraphx
::
shape
a_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
4
,
4
}};
auto
pa
=
p
.
add_parameter
(
"a"
,
a_shape
);
migraphx
::
shape
c_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
3
,
3
}};
auto
pc
=
p
.
add_parameter
(
"c"
,
c_shape
);
p
.
add_instruction
(
migraphx
::
op
::
quant_convolution
{{{
0
,
0
}},
{{
1
,
1
}},
{{
1
,
1
}},
migraphx
::
op
::
same
},
pa
,
pc
);
return
p
;
}
};
struct
quant_conv_valid_mode
:
verify_program
<
quant_conv_valid_mode
>
{
migraphx
::
program
create_program
()
{
migraphx
::
program
p
;
migraphx
::
shape
a_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
4
,
4
}};
auto
pa
=
p
.
add_parameter
(
"a"
,
a_shape
);
migraphx
::
shape
c_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
3
,
3
}};
auto
pc
=
p
.
add_parameter
(
"c"
,
c_shape
);
p
.
add_instruction
(
migraphx
::
op
::
quant_convolution
{{{
0
,
0
}},
{{
1
,
1
}},
{{
1
,
1
}},
migraphx
::
op
::
valid
},
pa
,
pc
);
return
p
;
}
};
struct
quant_conv_padding
:
verify_program
<
quant_conv_padding
>
{
migraphx
::
program
create_program
()
{
migraphx
::
program
p
;
migraphx
::
shape
a_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
4
,
4
}};
auto
pa
=
p
.
add_parameter
(
"a"
,
a_shape
);
migraphx
::
shape
c_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
3
,
3
}};
auto
pc
=
p
.
add_parameter
(
"c"
,
c_shape
);
p
.
add_instruction
(
migraphx
::
op
::
quant_convolution
{{{
1
,
1
}},
{{
1
,
1
}}},
pa
,
pc
);
return
p
;
}
};
struct
quant_conv_padding_stride
:
verify_program
<
quant_conv_padding_stride
>
{
migraphx
::
program
create_program
()
{
migraphx
::
program
p
;
migraphx
::
shape
a_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
4
,
4
}};
auto
pa
=
p
.
add_parameter
(
"a"
,
a_shape
);
migraphx
::
shape
c_shape
{
migraphx
::
shape
::
int8_type
,
{
2
,
3
,
3
,
3
}};
auto
pc
=
p
.
add_parameter
(
"c"
,
c_shape
);
p
.
add_instruction
(
migraphx
::
op
::
quant_convolution
{{{
1
,
1
}},
{{
2
,
2
}}},
pa
,
pc
);
return
p
;
}
};
struct
test_concat
:
verify_program
<
test_concat
>
{
migraphx
::
program
create_program
()
const
...
...
test/op_shape_test.cpp
View file @
8a18175b
...
...
@@ -76,6 +76,34 @@ TEST_CASE(convolution_shape)
throws_shape
(
migraphx
::
op
::
convolution
{},
input2
,
weights
);
}
TEST_CASE
(
quant_convolution_shape
)
{
migraphx
::
shape
output
{
migraphx
::
shape
::
float_type
,
{
4
,
4
,
1
,
1
}};
migraphx
::
shape
input
{
migraphx
::
shape
::
int8_type
,
{
4
,
3
,
3
,
3
}};
migraphx
::
shape
weights
{
migraphx
::
shape
::
int8_type
,
{
4
,
3
,
3
,
3
}};
expect_shape
(
output
,
migraphx
::
op
::
quant_convolution
{},
input
,
weights
);
throws_shape
(
migraphx
::
op
::
quant_convolution
{},
input
);
migraphx
::
shape
input2
{
migraphx
::
shape
::
float_type
,
{
3
,
3
}};
migraphx
::
shape
weights2
{
migraphx
::
shape
::
float_type
,
{
3
,
3
}};
throws_shape
(
migraphx
::
op
::
quant_convolution
{},
input2
,
weights2
);
throws_shape
(
migraphx
::
op
::
quant_convolution
{},
input2
,
weights
);
migraphx
::
shape
input3
{
migraphx
::
shape
::
float_type
,
{
4
,
3
,
3
,
3
}};
migraphx
::
shape
weight3
{
migraphx
::
shape
::
float_type
,
{
4
,
3
,
3
,
3
}};
throws_shape
(
migraphx
::
op
::
quant_convolution
{},
input3
,
weights
);
throws_shape
(
migraphx
::
op
::
quant_convolution
{},
input
,
weight3
);
throws_shape
(
migraphx
::
op
::
quant_convolution
{},
input3
,
weight3
);
migraphx
::
shape
output_same_mode
{
migraphx
::
shape
::
float_type
,
{
4
,
4
,
3
,
3
}};
expect_shape
(
output_same_mode
,
migraphx
::
op
::
quant_convolution
{{{
0
,
0
}},
{{
1
,
1
}},
{{
1
,
1
}},
migraphx
::
op
::
same
},
input
,
weights
);
expect_shape
(
output
,
migraphx
::
op
::
quant_convolution
{{{
0
,
0
}},
{{
1
,
1
}},
{{
1
,
1
}},
migraphx
::
op
::
valid
},
input
,
weights
);
throws_shape
(
migraphx
::
op
::
quant_convolution
{{{
0
,
0
}},
{{
1
,
1
}},
{{
1
,
1
}},
migraphx
::
op
::
padding_mode_t
(
9999
)},
input
,
weights
);
}
TEST_CASE
(
transpose_shape
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{
2
,
2
}};
...
...
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