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gaoqiong
MIGraphX
Commits
913ae362
Unverified
Commit
913ae362
authored
Dec 13, 2022
by
Chris Austen
Committed by
GitHub
Dec 13, 2022
Browse files
Merge branch 'develop' into optimize
parents
f1e16656
b8c8d09b
Changes
66
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Showing
6 changed files
with
1642 additions
and
493 deletions
+1642
-493
test/onnx/transpose_dyn_test.onnx
test/onnx/transpose_dyn_test.onnx
+0
-0
test/op_shape_test.cpp
test/op_shape_test.cpp
+506
-144
test/ref_dot_op_test.cpp
test/ref_dot_op_test.cpp
+125
-18
test/ref_ops_test.cpp
test/ref_ops_test.cpp
+658
-331
test/ref_rnn_ops_test.cpp
test/ref_rnn_ops_test.cpp
+339
-0
test/shape_test.cpp
test/shape_test.cpp
+14
-0
No files found.
test/onnx/transpose_dyn_test.onnx
0 → 100644
View file @
913ae362
File added
test/op_shape_test.cpp
View file @
913ae362
...
...
@@ -81,6 +81,64 @@ void throws_shape(const migraphx::shape&, Ts...)
"An expected shape should not be passed to throws_shape function"
);
}
TEST_CASE
(
argmax_axis0
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
half_type
,
{
2
,
3
,
4
,
5
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
int64_type
,
{
1
,
3
,
4
,
5
}},
migraphx
::
make_op
(
"argmax"
,
{{
"axis"
,
0
}}),
input
);
}
TEST_CASE
(
argmax_axis1
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
half_type
,
{
2
,
3
,
4
,
5
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
int64_type
,
{
2
,
1
,
4
,
5
}},
migraphx
::
make_op
(
"argmax"
,
{{
"axis"
,
1
}}),
input
);
}
TEST_CASE
(
argmax_axis2
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{
2
,
3
,
4
,
5
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
int64_type
,
{
2
,
3
,
1
,
5
}},
migraphx
::
make_op
(
"argmax"
,
{{
"axis"
,
2
}}),
input
);
}
TEST_CASE
(
argmax_axis_neg
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{
2
,
3
,
4
,
5
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
int64_type
,
{
2
,
3
,
4
,
1
}},
migraphx
::
make_op
(
"argmax"
,
{{
"axis"
,
-
1
}}),
input
);
}
TEST_CASE
(
argmax_axis_outofbounds
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{
2
,
3
,
4
,
5
}};
throws_shape
(
migraphx
::
make_op
(
"argmax"
,
{{
"axis"
,
4
}}),
input
);
}
TEST_CASE
(
argmax_dyn0
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
3
,
3
,
0
},
{
4
,
4
,
0
},
{
5
,
5
,
0
}}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
int64_type
,
{{
1
,
4
,
0
},
{
1
,
1
,
0
},
{
4
,
4
,
0
},
{
5
,
5
,
0
}}},
migraphx
::
make_op
(
"argmax"
,
{{
"axis"
,
1
}}),
input
);
}
TEST_CASE
(
argmax_dyn1
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
3
,
3
,
0
},
{
4
,
6
,
0
},
{
4
,
6
,
0
}}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
int64_type
,
{{
1
,
4
,
0
},
{
3
,
3
,
0
},
{
1
,
1
,
0
},
{
4
,
6
,
0
}}},
migraphx
::
make_op
(
"argmax"
,
{{
"axis"
,
2
}}),
input
);
}
TEST_CASE
(
binary_dyn_static_error
)
{
migraphx
::
shape
a_shape
{
migraphx
::
shape
::
float_type
,
{
1
,
4
,
4
}};
...
...
@@ -409,6 +467,199 @@ TEST_CASE(deconvolution_shape)
weights_3d
);
}
TEST_CASE
(
dot_ndim_error0
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
5
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_ndim_error1
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
5
,
2
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_ndim_error2
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
5
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_ndim_error3
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
6
,
5
,
4
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_ndim_error4
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
4
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
1
,
1
,
5
,
7
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_mismatch_inner_error0
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
4
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
10
,
8
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_mismatch_inner_error1
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
4
,
6
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
5
,
8
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_mismatch_inner_error2
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
4
,
4
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_mismatch_inner_error3
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
1
,
4
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
1
,
2
,
5
,
7
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_mismatch_outer_error
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
4
,
6
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
2
,
5
,
8
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_2D_test0
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
4
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
5
,
8
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{
4
,
8
}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_2D_test1
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
5
,
4
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{
1
,
4
}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_2D_test2
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
4
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
5
,
8
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{
4
,
8
}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_2D_test3
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
1
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
1
,
1
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{
1
,
1
}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_3D_test0
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
4
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
1
,
5
,
8
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{
1
,
4
,
8
}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_3D_test_1
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
6
,
1
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
6
,
5
,
4
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{
6
,
1
,
4
}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_3D_test2
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
4
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
1
,
5
,
7
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{
1
,
4
,
7
}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_4D_test
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
6
,
1
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
1
,
6
,
5
,
4
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{
1
,
6
,
1
,
4
}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_dyn_static_test0
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
5
,
5
,
0
}}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
5
,
8
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
8
,
8
,
0
}}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_dyn_static_mismatch_error
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
3
,
3
,
0
},
{
5
,
5
,
0
},
{
5
,
5
,
0
}}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
5
,
8
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_dyn_dyn_test0
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
5
,
5
,
0
}}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{{
5
,
5
,
0
},
{
6
,
8
,
8
}}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
6
,
8
,
8
}}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_dyn_dyn_test1
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
4
,
5
,
5
}}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{{
4
,
5
,
5
},
{
6
,
8
,
8
}}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
6
,
8
,
8
}}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_dyn_mismatch_test0
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
5
,
5
,
0
},
{
5
,
5
,
0
}}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
1
,
5
,
8
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
dot_dyn_mismatch_test1
)
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{{
4
,
4
,
0
},
{
5
,
5
,
0
},
{
2
,
5
,
0
}}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
4
,
5
,
8
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
TEST_CASE
(
flatten_shape
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{
2
,
4
,
6
,
8
}};
...
...
@@ -437,6 +688,62 @@ TEST_CASE(flatten_shape)
throws_shape
(
migraphx
::
make_op
(
"flatten"
,
{{
"axis"
,
-
5
}}),
input
);
}
TEST_CASE
(
flatten_dyn_axis0
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
4
,
4
,
0
},
{
6
,
6
,
0
},
{
8
,
8
,
0
}}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{{
1
,
1
,
0
},
{
192
,
768
,
0
}}},
migraphx
::
make_op
(
"flatten"
,
{{
"axis"
,
0
}}),
input
);
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{{
1
,
1
,
0
},
{
192
,
768
,
0
}}},
migraphx
::
make_op
(
"flatten"
,
{{
"axis"
,
-
4
}}),
input
);
}
TEST_CASE
(
flatten_dyn_axis1
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{{
2
,
2
,
2
},
{
4
,
4
,
0
},
{
4
,
6
,
5
},
{
4
,
6
,
5
}}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{{
2
,
2
,
2
},
{
4
*
4
*
4
,
4
*
6
*
6
,
0
}}},
migraphx
::
make_op
(
"flatten"
,
{{
"axis"
,
1
}}),
input
);
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{{
2
,
2
,
2
},
{
4
*
4
*
4
,
4
*
6
*
6
,
0
}}},
migraphx
::
make_op
(
"flatten"
,
{{
"axis"
,
-
3
}}),
input
);
}
TEST_CASE
(
flatten_dyn_axis2
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{{
2
,
2
,
2
},
{
4
,
4
,
0
},
{
4
,
6
,
5
},
{
4
,
6
,
5
}}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{{
2
*
4
,
2
*
4
,
0
},
{
4
*
4
,
6
*
6
,
5
*
5
}}},
migraphx
::
make_op
(
"flatten"
,
{{
"axis"
,
2
}}),
input
);
}
TEST_CASE
(
flatten_dyn_axis3
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
4
,
4
,
0
},
{
6
,
6
,
0
},
{
8
,
8
,
0
}}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{{
1
*
4
*
6
,
4
*
4
*
6
,
0
},
{
8
,
8
,
0
}}},
migraphx
::
make_op
(
"flatten"
,
{{
"axis"
,
3
}}),
input
);
}
TEST_CASE
(
flatten_dyn_axis4
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
4
,
4
,
0
},
{
6
,
6
,
0
},
{
8
,
8
,
0
}}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{{
1
*
4
*
6
*
8
,
4
*
4
*
6
*
8
,
0
},
{
1
,
1
,
0
}}},
migraphx
::
make_op
(
"flatten"
,
{{
"axis"
,
4
}}),
input
);
}
TEST_CASE
(
gather
)
{
{
...
...
@@ -524,46 +831,6 @@ TEST_CASE(gather)
}
}
// 3 input arguments
TEST_CASE
(
gemm
)
{
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
4
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
10
,
8
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
4
,
6
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
5
,
8
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
4
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
5
,
8
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{
4
,
8
}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
4
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
1
,
5
,
8
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{
1
,
4
,
8
}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
4
,
6
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
2
,
5
,
8
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
}
TEST_CASE
(
get_tuple_elem_test
)
{
migraphx
::
shape
s0
{
migraphx
::
shape
::
bool_type
,
{
1
,
1
}};
...
...
@@ -1017,106 +1284,6 @@ TEST_CASE(lstm)
}
}
// 2 inputs arguments
TEST_CASE
(
matmul
)
{
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
5
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
5
,
2
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
5
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
5
,
4
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{
1
,
4
}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
4
,
4
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
6
,
5
,
4
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
6
,
1
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
6
,
5
,
4
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{
6
,
1
,
4
}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
6
,
1
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
1
,
6
,
5
,
4
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{
1
,
6
,
1
,
4
}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
4
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
5
,
8
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{
4
,
8
}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
1
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
1
,
1
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{
1
,
1
}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
4
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
1
,
5
,
7
}};
expect_shape
(
migraphx
::
shape
{
migraphx
::
shape
::
float_type
,
{
1
,
4
,
7
}},
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
4
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
1
,
1
,
5
,
7
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
{
migraphx
::
shape
s_m1
{
migraphx
::
shape
::
float_type
,
{
1
,
1
,
4
,
5
}};
migraphx
::
shape
s_m2
{
migraphx
::
shape
::
float_type
,
{
1
,
2
,
5
,
7
}};
throws_shape
(
migraphx
::
make_op
(
"dot"
),
s_m1
,
s_m2
);
}
}
TEST_CASE
(
multibroadcast
)
{
{
...
...
@@ -1549,16 +1716,76 @@ TEST_CASE(nms_shape)
score_thres_s
);
}
TEST_CASE
(
pooling_shape
)
TEST_CASE
(
pooling_shape
0
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{
4
,
3
,
3
,
3
}};
throws_shape
(
migraphx
::
make_op
(
"pooling"
,
{{
"mode"
,
migraphx
::
op
::
pooling_mode
::
max
},
{
"padding"
,
{
1
}},
{
"stride"
,
{
0
}},
{
"lengths"
,
{
1
}}}),
input
);
}
TEST_CASE
(
pooling_shape1
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{
4
,
3
,
3
,
3
}};
migraphx
::
shape
output
{
migraphx
::
shape
::
float_type
,
{
4
,
3
,
1
,
1
}};
expect_shape
(
output
,
migraphx
::
make_op
(
"pooling"
,
{{
"mode"
,
migraphx
::
op
::
pooling_mode
::
max
},
{
"padding"
,
{
0
,
0
}},
{
"stride"
,
{
3
,
3
}},
{
"lengths"
,
{
1
,
1
}}}),
input
);
}
TEST_CASE
(
pooling_shape2
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{
4
,
3
,
3
,
3
}};
migraphx
::
shape
output
{
migraphx
::
shape
::
float_type
,
{
4
,
3
,
2
,
2
}};
expect_shape
(
output
,
migraphx
::
make_op
(
"pooling"
,
{{
"mode"
,
migraphx
::
op
::
pooling_mode
::
max
},
{
"padding"
,
{
0
,
0
}},
{
"stride"
,
{
3
,
3
}},
{
"lengths"
,
{
1
,
1
}},
{
"ceil_mode"
,
true
}}),
input
);
}
TEST_CASE
(
pooling_shape3
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{
4
,
3
,
3
,
3
}};
migraphx
::
shape
output
{
migraphx
::
shape
::
float_type
,
{
4
,
3
,
3
,
3
}};
expect_shape
(
output
,
migraphx
::
make_op
(
"pooling"
,
{{
"mode"
,
migraphx
::
op
::
pooling_mode
::
max
},
{
"padding"
,
{
2
,
2
}},
{
"stride"
,
{
3
,
3
}},
{
"lengths"
,
{
3
,
3
}},
{
"ceil_mode"
,
true
}}),
input
);
}
TEST_CASE
(
pooling_dyn_shape0
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
3
,
3
,
3
},
{
3
,
3
,
3
},
{
3
,
3
,
0
}}};
throws_shape
(
migraphx
::
make_op
(
"pooling"
,
{{
"mode"
,
migraphx
::
op
::
pooling_mode
::
max
},
{
"padding"
,
{
1
}},
{
"stride"
,
{
0
}},
{
"lengths"
,
{
1
}}}),
input
);
}
TEST_CASE
(
pooling_dyn_shape1
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
3
,
3
,
3
},
{
3
,
3
,
3
},
{
3
,
3
,
0
}}};
migraphx
::
shape
output
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
3
,
3
,
3
},
{
1
,
1
,
1
},
{
1
,
1
,
0
}}};
expect_shape
(
output
,
migraphx
::
make_op
(
"pooling"
,
{{
"mode"
,
migraphx
::
op
::
pooling_mode
::
max
},
...
...
@@ -1566,9 +1793,15 @@ TEST_CASE(pooling_shape)
{
"stride"
,
{
3
,
3
}},
{
"lengths"
,
{
1
,
1
}}}),
input
);
}
migraphx
::
shape
output1
{
migraphx
::
shape
::
float_type
,
{
4
,
3
,
2
,
2
}};
expect_shape
(
output1
,
TEST_CASE
(
pooling_dyn_shape2
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
5
,
5
,
0
},
{
3
,
3
,
3
},
{
3
,
3
,
0
}}};
migraphx
::
shape
output
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
5
,
5
,
0
},
{
2
,
2
,
2
},
{
2
,
2
,
0
}}};
expect_shape
(
output
,
migraphx
::
make_op
(
"pooling"
,
{{
"mode"
,
migraphx
::
op
::
pooling_mode
::
max
},
{
"padding"
,
{
0
,
0
}},
...
...
@@ -1578,6 +1811,37 @@ TEST_CASE(pooling_shape)
input
);
}
TEST_CASE
(
pooling_dyn_shape3
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{{
4
,
4
,
0
},
{
3
,
3
,
0
},
{
4
,
12
,
8
},
{
4
,
12
,
8
}}};
migraphx
::
shape
output
{
migraphx
::
shape
::
float_type
,
{{
4
,
4
,
0
},
{
3
,
3
,
0
},
{
2
,
4
,
3
},
{
2
,
4
,
3
}}};
expect_shape
(
output
,
migraphx
::
make_op
(
"pooling"
,
{{
"mode"
,
migraphx
::
op
::
pooling_mode
::
max
},
{
"padding"
,
{
0
,
0
}},
{
"stride"
,
{
3
,
3
}},
{
"lengths"
,
{
1
,
1
}}}),
input
);
}
TEST_CASE
(
pooling_dyn_shape4
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{{
4
,
4
,
0
},
{
3
,
3
,
0
},
{
4
,
12
,
8
},
{
4
,
12
,
8
}}};
migraphx
::
shape
output
{
migraphx
::
shape
::
float_type
,
{{
4
,
4
,
0
},
{
3
,
3
,
0
},
{
3
,
6
,
4
},
{
3
,
6
,
4
}}};
expect_shape
(
output
,
migraphx
::
make_op
(
"pooling"
,
{{
"mode"
,
migraphx
::
op
::
pooling_mode
::
max
},
{
"padding"
,
{
2
,
2
}},
{
"stride"
,
{
3
,
3
}},
{
"lengths"
,
{
3
,
3
}},
{
"ceil_mode"
,
true
}}),
input
);
}
TEST_CASE
(
prefix_scan_sum
)
{
{
...
...
@@ -1920,6 +2184,20 @@ TEST_CASE(slice_shape)
TEST_CASE
(
softmax
)
{
test_softmax_variations
<
migraphx
::
op
::
softmax
>
();
}
TEST_CASE
(
softmax_dyn0
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
3
,
3
,
0
},
{
4
,
4
,
0
},
{
5
,
5
,
0
}}};
expect_shape
(
input
,
migraphx
::
make_op
(
"softmax"
,
{{
"axis"
,
0
}}),
input
);
}
TEST_CASE
(
softmax_dyn1
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{{
1
,
1
,
0
},
{
3
,
3
,
0
},
{
4
,
6
,
0
},
{
5
,
8
,
6
}}};
expect_shape
(
input
,
migraphx
::
make_op
(
"softmax"
,
{{
"axis"
,
0
}}),
input
);
}
TEST_CASE
(
test_argmax
)
{
{
...
...
@@ -2042,6 +2320,30 @@ TEST_CASE(test_squeeze_all)
expect_shape
(
s2
,
migraphx
::
make_op
(
"squeeze"
,
{{
"axes"
,
{
0
}}}),
s1
);
}
TEST_CASE
(
test_squeeze_dyn
)
{
migraphx
::
shape
s1
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
1
,
1
,
0
},
{
3
,
3
,
0
},
{
1
,
1
,
0
},
{
3
,
3
,
0
}}};
migraphx
::
shape
s2
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
1
,
1
,
0
},
{
3
,
3
,
0
},
{
3
,
3
,
0
}}};
expect_shape
(
s2
,
migraphx
::
make_op
(
"squeeze"
,
{{
"axes"
,
{
3
}}}),
s1
);
migraphx
::
shape
s3
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
3
,
3
,
0
},
{
3
,
3
,
0
}}};
expect_shape
(
s3
,
migraphx
::
make_op
(
"squeeze"
),
s1
);
throws_shape
(
migraphx
::
make_op
(
"squeeze"
,
{{
"axes"
,
{
0
}}}),
s1
);
}
TEST_CASE
(
test_squeeze_dyn_neg_axes
)
{
migraphx
::
shape
s1
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
1
,
1
,
0
},
{
3
,
3
,
0
},
{
1
,
1
,
0
},
{
3
,
3
,
0
}}};
migraphx
::
shape
s2
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
1
,
1
,
0
},
{
3
,
3
,
0
},
{
3
,
3
,
0
}}};
expect_shape
(
s2
,
migraphx
::
make_op
(
"squeeze"
,
{{
"axes"
,
{
-
2
}}}),
s1
);
migraphx
::
shape
s3
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
3
,
3
,
0
},
{
3
,
3
,
0
}}};
expect_shape
(
s3
,
migraphx
::
make_op
(
"squeeze"
,
{{
"axes"
,
{
-
2
,
-
4
}}}),
s1
);
}
TEST_CASE
(
test_squeeze_transpose
)
{
migraphx
::
shape
s1
{
migraphx
::
shape
::
float_type
,
{
4
,
4
,
1
},
{
4
,
1
,
4
}};
...
...
@@ -2083,6 +2385,30 @@ TEST_CASE(test_unsqueeze)
expect_shape
(
s2
,
migraphx
::
make_op
(
"unsqueeze"
,
{{
"axes"
,
{
2
}}}),
s1
);
}
TEST_CASE
(
test_unsqueeze_dyn
)
{
migraphx
::
shape
s1
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
3
},
{
2
,
5
,
0
},
{
3
,
3
,
0
}}};
migraphx
::
shape
s2
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
3
},
{
2
,
5
,
0
},
{
1
,
1
,
0
},
{
3
,
3
,
0
}}};
expect_shape
(
s2
,
migraphx
::
make_op
(
"unsqueeze"
,
{{
"axes"
,
{
2
}}}),
s1
);
migraphx
::
shape
s3
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
3
},
{
2
,
5
,
0
},
{
1
,
1
,
0
},
{
3
,
3
,
0
},
{
1
,
1
,
0
}}};
expect_shape
(
s3
,
migraphx
::
make_op
(
"unsqueeze"
,
{{
"axes"
,
{
2
,
4
}}}),
s1
);
throws_shape
(
migraphx
::
make_op
(
"unsqueeze"
,
{{
"axes"
,
{
2
,
4
}},
{
"steps"
,
{
2
}}}),
s1
);
}
TEST_CASE
(
test_unsqueeze_dyn_neg_axes
)
{
migraphx
::
shape
s1
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
3
},
{
2
,
5
,
0
},
{
3
,
3
,
0
}}};
migraphx
::
shape
s2
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
3
},
{
2
,
5
,
0
},
{
1
,
1
,
0
},
{
3
,
3
,
0
}}};
expect_shape
(
s2
,
migraphx
::
make_op
(
"unsqueeze"
,
{{
"axes"
,
{
-
2
}}}),
s1
);
migraphx
::
shape
s3
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
3
},
{
2
,
5
,
0
},
{
1
,
1
,
0
},
{
3
,
3
,
0
},
{
1
,
1
,
0
}}};
expect_shape
(
s3
,
migraphx
::
make_op
(
"unsqueeze"
,
{{
"axes"
,
{
-
1
,
-
3
}}}),
s1
);
}
TEST_CASE
(
test_unsqueeze_step
)
{
migraphx
::
shape
s1
{
migraphx
::
shape
::
float_type
,
{
4
,
5
,
12
}};
...
...
@@ -2114,13 +2440,27 @@ TEST_CASE(test_unsqueeze_mismatch_step_axis)
throws_shape
(
migraphx
::
make_op
(
"unsqueeze"
,
{{
"axes"
,
{
2
}},
{
"steps"
,
{
2
,
3
}}}),
s1
);
}
TEST_CASE
(
test_unsqueeze_negative_axis
)
TEST_CASE
(
test_unsqueeze_negative_axis
1
)
{
migraphx
::
shape
s1
{
migraphx
::
shape
::
float_type
,
{
4
,
5
,
3
}};
migraphx
::
shape
s2
{
migraphx
::
shape
::
float_type
,
{
4
,
5
,
1
,
3
}};
expect_shape
(
s2
,
migraphx
::
make_op
(
"unsqueeze"
,
{{
"axes"
,
{
-
2
}}}),
s1
);
}
TEST_CASE
(
test_unsqueeze_negative_axis2
)
{
migraphx
::
shape
s1
{
migraphx
::
shape
::
float_type
,
{
4
,
5
,
3
}};
migraphx
::
shape
s2
{
migraphx
::
shape
::
float_type
,
{
4
,
5
,
3
,
1
}};
expect_shape
(
s2
,
migraphx
::
make_op
(
"unsqueeze"
,
{{
"axes"
,
{
-
1
}}}),
s1
);
}
TEST_CASE
(
test_unsqueeze_negative_axis3
)
{
migraphx
::
shape
s1
{
migraphx
::
shape
::
float_type
,
{
4
,
5
,
3
}};
migraphx
::
shape
s2
{
migraphx
::
shape
::
float_type
,
{
4
,
1
,
5
,
3
}};
expect_shape
(
s2
,
migraphx
::
make_op
(
"unsqueeze"
,
{{
"axes"
,
{
-
3
}}}),
s1
);
}
TEST_CASE
(
test_unsqueeze_scalar
)
{
migraphx
::
shape
s1
{
migraphx
::
shape
::
float_type
,
{
1
},
{
0
}};
...
...
@@ -2226,6 +2566,28 @@ TEST_CASE(transpose_shape)
throws_shape
(
migraphx
::
make_op
(
"transpose"
,
{{
"permutation"
,
{
1
,
2
}}}),
input
);
}
TEST_CASE
(
transpose_dyn_shape0
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
2
,
2
,
0
}}};
migraphx
::
shape
output
{
migraphx
::
shape
::
float_type
,
{{
2
,
2
,
0
},
{
1
,
4
,
0
}}};
expect_shape
(
input
,
migraphx
::
make_op
(
"transpose"
,
{{
"permutation"
,
{
0
,
1
}}}),
input
);
expect_shape
(
output
,
migraphx
::
make_op
(
"transpose"
,
{{
"permutation"
,
{
1
,
0
}}}),
input
);
}
TEST_CASE
(
transpose_dyn_shape1
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
4
,
4
,
0
},
{
4
,
4
,
0
}}};
migraphx
::
shape
output
{
migraphx
::
shape
::
float_type
,
{{
4
,
4
,
0
},
{
4
,
4
,
0
},
{
1
,
4
,
0
}}};
expect_shape
(
input
,
migraphx
::
make_op
(
"transpose"
,
{{
"permutation"
,
{
0
,
1
,
2
}}}),
input
);
expect_shape
(
output
,
migraphx
::
make_op
(
"transpose"
,
{{
"permutation"
,
{
2
,
1
,
0
}}}),
input
);
}
TEST_CASE
(
transpose_axes_error
)
{
migraphx
::
shape
input
{
migraphx
::
shape
::
float_type
,
{
2
,
2
}};
throws_shape
(
migraphx
::
make_op
(
"transpose"
,
{{
"permutation"
,
{
1
}}}),
input
);
}
TEST_CASE
(
step_test
)
{
migraphx
::
shape
s1
{
migraphx
::
shape
::
float_type
,
{
1
,
2
,
4
}};
...
...
test/ref_dot_op_test.cpp
View file @
913ae362
...
...
@@ -35,7 +35,7 @@
#include <migraphx/half.hpp>
template
<
class
T
>
void
matmul
_test
()
void
dot_2d
_test
()
{
migraphx
::
program
p
;
...
...
@@ -82,11 +82,11 @@ void matmul_test()
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
EXPECT
(
migraphx
::
verify_range
(
c
,
results_vector
));
}
TEST_CASE_REGISTER
(
matmul
_test
<
float
>
)
TEST_CASE_REGISTER
(
matmul
_test
<
double
>
)
TEST_CASE_REGISTER
(
dot_2d
_test
<
float
>
)
TEST_CASE_REGISTER
(
dot_2d
_test
<
double
>
)
template
<
class
T
>
void
matmul
_test
_ex
()
void
dot_4d
_test
()
{
migraphx
::
program
p
;
...
...
@@ -133,10 +133,10 @@ void matmul_test_ex()
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
EXPECT
(
migraphx
::
verify_range
(
c
,
results_vector
));
}
TEST_CASE_REGISTER
(
matmul
_test
_ex
<
float
>
)
TEST_CASE_REGISTER
(
matmul
_test
_ex
<
double
>
)
TEST_CASE_REGISTER
(
dot_4d
_test
<
float
>
)
TEST_CASE_REGISTER
(
dot_4d
_test
<
double
>
)
TEST_CASE
(
matmul_mutli_dim_2
)
TEST_CASE
(
dot_3D_test
)
{
migraphx
::
program
p
;
...
...
@@ -189,7 +189,7 @@ TEST_CASE(matmul_mutli_dim_2)
EXPECT
(
migraphx
::
verify_range
(
m
,
m_res
));
}
TEST_CASE
(
gemm_mutli_dim_2_beta
0
)
TEST_CASE
(
dot_3D_C_test
0
)
{
migraphx
::
program
p
;
...
...
@@ -265,7 +265,7 @@ TEST_CASE(gemm_mutli_dim_2_beta0)
EXPECT
(
migraphx
::
verify_range
(
m
,
m_res
));
}
TEST_CASE
(
gemm_beta_0
)
TEST_CASE
(
dot_3D_C_test1
)
{
migraphx
::
program
p
;
...
...
@@ -324,7 +324,7 @@ TEST_CASE(gemm_beta_0)
EXPECT
(
migraphx
::
verify_range
(
m
,
m_res
));
}
TEST_CASE
(
matmul_mutli_dim_2_3
)
TEST_CASE
(
dot_4D_test1
)
{
migraphx
::
program
p
;
...
...
@@ -363,7 +363,7 @@ TEST_CASE(matmul_mutli_dim_2_3)
EXPECT
(
migraphx
::
verify_range
(
m
,
m_res
));
}
TEST_CASE
(
gemm_mutli_dim1_2_3
)
TEST_CASE
(
dot_4D_alpha_beta_test
)
{
migraphx
::
program
p
;
...
...
@@ -417,7 +417,7 @@ TEST_CASE(gemm_mutli_dim1_2_3)
EXPECT
(
migraphx
::
verify_range
(
m
,
m_res
));
}
TEST_CASE
(
gemm_mutli_3args
)
TEST_CASE
(
dot_4D_alpha_beta_C_test
)
{
migraphx
::
program
p
;
...
...
@@ -469,7 +469,7 @@ TEST_CASE(gemm_mutli_3args)
EXPECT
(
migraphx
::
verify_range
(
m
,
m_res
));
}
TEST_CASE
(
gemm_3args
)
TEST_CASE
(
dot_2D_C_test0
)
{
{
migraphx
::
program
p
;
...
...
@@ -533,7 +533,7 @@ TEST_CASE(gemm_3args)
}
}
TEST_CASE
(
matmul
_vv_inner_product
)
TEST_CASE
(
dot
_vv_inner_product
)
{
{
migraphx
::
program
p
;
...
...
@@ -608,7 +608,7 @@ TEST_CASE(matmul_vv_inner_product)
}
}
TEST_CASE
(
matmul
_vm
)
TEST_CASE
(
dot
_vm
)
{
{
migraphx
::
program
p
;
...
...
@@ -778,7 +778,7 @@ TEST_CASE(matmul_vm)
}
}
TEST_CASE
(
matmul
_mv
)
TEST_CASE
(
dot
_mv
)
{
{
migraphx
::
program
p
;
...
...
@@ -899,7 +899,7 @@ TEST_CASE(matmul_mv)
}
}
TEST_CASE
(
matmul
_mm1
)
TEST_CASE
(
dot
_mm1
)
{
{
migraphx
::
program
p
;
...
...
@@ -1006,7 +1006,7 @@ TEST_CASE(matmul_mm1)
}
}
TEST_CASE
(
matmul
_mm2
)
TEST_CASE
(
dot
_mm2
)
{
{
migraphx
::
program
p
;
...
...
@@ -1193,6 +1193,113 @@ TEST_CASE(matmul_mm2)
}
}
TEST_CASE
(
dot_dyn_2D_test
)
{
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
migraphx
::
shape
a_shape
{
migraphx
::
shape
::
float_type
,
{{
1
,
4
,
0
},
{
5
,
5
,
0
}}};
auto
ap
=
mm
->
add_parameter
(
"a"
,
a_shape
);
migraphx
::
shape
b_shape
{
migraphx
::
shape
::
float_type
,
{
5
,
3
}};
auto
bp
=
mm
->
add_parameter
(
"b"
,
b_shape
);
mm
->
add_instruction
(
migraphx
::
make_op
(
"dot"
),
ap
,
bp
);
p
.
compile
(
migraphx
::
ref
::
target
{});
std
::
vector
<
float
>
a
=
{
-
0.00925222
,
0.56250403
,
0.70107397
,
0.75402161
,
-
0.505885
,
1.33628943
,
-
0.11413
,
-
0.31270559
,
1.59336732
,
-
0.19361027
,
-
0.91620867
,
0.40108416
,
-
0.06969921
,
0.68483471
,
-
0.39906632
,
-
1.66423624
,
0.69040076
,
-
1.31490171
,
-
0.11282616
,
-
0.79391814
};
std
::
vector
<
float
>
b
=
{
6.09568541e-01
,
-
6.10527007e-01
,
3.66646462e-01
,
1.18951101e-01
,
5.58777432e-01
,
-
3.21296298e-01
,
-
5.95997198e-01
,
-
5.01425721e-01
,
-
2.84606807e-01
,
-
5.73673557e-01
,
-
8.99430260e-01
,
-
4.25103093e-01
,
1.53027987e+00
,
-
3.81407415e-04
,
-
3.29650255e-01
};
migraphx
::
shape
input_fixed_shape
{
migraphx
::
shape
::
float_type
,
{
4
,
5
}};
migraphx
::
parameter_map
params
;
params
[
"a"
]
=
migraphx
::
argument
(
input_fixed_shape
,
a
.
data
());
params
[
"b"
]
=
migraphx
::
argument
(
b_shape
,
b
.
data
());
auto
result
=
p
.
eval
(
params
).
back
();
std
::
vector
<
float
>
results_vector
;
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
std
::
vector
<
float
>
c
=
{
-
1.56327541e+00
,
-
7.09570140e-01
,
-
5.37424982e-01
,
-
2.22994831e-01
,
-
2.15586437e+00
,
2.09177941e-03
,
-
1.47279677e+00
,
2.02627040e-01
,
-
6.04527691e-01
,
-
1.29885596e+00
,
2.16294914e+00
,
-
1.48101497e-01
};
EXPECT
(
migraphx
::
verify_range
(
c
,
results_vector
));
}
TEST_CASE
(
dot_dyn_4D_test
)
{
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
migraphx
::
shape
a_shape
{
migraphx
::
shape
::
float_type
,
{{
1
,
1
,
0
},
{
1
,
1
,
0
},
{
4
,
6
,
4
},
{
5
,
5
,
0
}}};
auto
al
=
mm
->
add_parameter
(
"a"
,
a_shape
);
migraphx
::
shape
b_shape
{
migraphx
::
shape
::
float_type
,
{
1
,
1
,
5
,
3
}};
auto
bl
=
mm
->
add_parameter
(
"b"
,
b_shape
);
mm
->
add_instruction
(
migraphx
::
make_op
(
"dot"
),
al
,
bl
);
p
.
compile
(
migraphx
::
ref
::
target
{});
std
::
vector
<
float
>
a
=
{
-
0.00925222
,
0.56250403
,
0.70107397
,
0.75402161
,
-
0.505885
,
1.33628943
,
-
0.11413
,
-
0.31270559
,
1.59336732
,
-
0.19361027
,
-
0.91620867
,
0.40108416
,
-
0.06969921
,
0.68483471
,
-
0.39906632
,
-
1.66423624
,
0.69040076
,
-
1.31490171
,
-
0.11282616
,
-
0.79391814
};
std
::
vector
<
float
>
b
=
{
6.09568541e-01
,
-
6.10527007e-01
,
3.66646462e-01
,
1.18951101e-01
,
5.58777432e-01
,
-
3.21296298e-01
,
-
5.95997198e-01
,
-
5.01425721e-01
,
-
2.84606807e-01
,
-
5.73673557e-01
,
-
8.99430260e-01
,
-
4.25103093e-01
,
1.53027987e+00
,
-
3.81407415e-04
,
-
3.29650255e-01
};
migraphx
::
shape
input_fixed_shape0
{
migraphx
::
shape
::
float_type
,
{
1
,
1
,
4
,
5
}};
migraphx
::
shape
input_fixed_shape1
{
migraphx
::
shape
::
float_type
,
{
1
,
1
,
5
,
3
}};
migraphx
::
parameter_map
params
;
params
[
"a"
]
=
migraphx
::
argument
(
input_fixed_shape0
,
a
.
data
());
params
[
"b"
]
=
migraphx
::
argument
(
input_fixed_shape1
,
b
.
data
());
auto
result
=
p
.
eval
(
params
).
back
();
std
::
vector
<
float
>
results_vector
;
result
.
visit
([
&
](
auto
output
)
{
results_vector
.
assign
(
output
.
begin
(),
output
.
end
());
});
std
::
vector
<
float
>
c
=
{
-
1.56327541e+00
,
-
7.09570140e-01
,
-
5.37424982e-01
,
-
2.22994831e-01
,
-
2.15586437e+00
,
2.09177941e-03
,
-
1.47279677e+00
,
2.02627040e-01
,
-
6.04527691e-01
,
-
1.29885596e+00
,
2.16294914e+00
,
-
1.48101497e-01
};
EXPECT
(
migraphx
::
verify_range
(
c
,
results_vector
));
}
TEST_CASE
(
quant_dot_2args_multi4
)
{
{
...
...
test/ref_ops_test.cpp
View file @
913ae362
...
...
@@ -60,15 +60,16 @@ TEST_CASE(abs_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(abs_dyn
amic
_test)
TEST_CASE(abs_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
std::vector<float> a = {-1, 2, -3, 4};
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {{2, 8, 0}, {2, 2, 0}}};
auto input = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("abs"), input);
p.compile(migraphx::ref::target{});
std::vector<float> a = {-1, 2, -3, 4};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {2, 2}};
params0["X"] = migraphx::argument(input_fixed_shape0, a.data());
...
...
@@ -97,17 +98,17 @@ TEST_CASE(acos_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(acos_dyn
amic
_test)
TEST_CASE(acos_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data{-0.8f, 0.0f, 1.0f};
mm->add_instruction(migraphx::make_op("acos"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data{-0.8f, 0.0f, 1.0f};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {3}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -138,7 +139,7 @@ TEST_CASE(acosh_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(acosh_dyn
amic
_test)
TEST_CASE(acosh_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
...
...
@@ -325,6 +326,28 @@ TEST_CASE(argmax_test_neg_2)
EXPECT(migraphx::verify_range(result_vec, res_gold));
}
TEST_CASE(argmax_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {{2, 2, 0}, {3, 6, 0}, {3, 6, 0}}};
auto dl = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("argmax", {{"axis", 0}}), dl);
p.compile(migraphx::ref::target{});
std::vector<float> data = {1.2255, 1.6834, -2.0305, -0.3221, 0.4701, 0.2583, 0.7545, 2.5758,
-1.6849, 0.0928, 0.9022, -0.8765, -0.4090, 0.9301, 2.0724, -1.5706,
0.4867, -0.1493, 0.6957, -0.2179, 0.7142, 0.7177, 0.0183, 1.3497};
migraphx::parameter_map params;
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {2, 3, 4}};
params["X"] = migraphx::argument(input_fixed_shape, data.data());
auto result = p.eval(params).back();
std::vector<int64_t> result_vec;
result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
std::vector<int64_t> res_gold = {0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1};
EXPECT(migraphx::verify_range(result_vec, res_gold));
}
TEST_CASE(argmin_test_0)
{
migraphx::program p;
...
...
@@ -419,17 +442,17 @@ TEST_CASE(asin_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(asin_dyn
amic
_test)
TEST_CASE(asin_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data{-0.5f, 0.0f, 0.9f};
mm->add_instruction(migraphx::make_op("asin"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data{-0.5f, 0.0f, 0.9f};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {3}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -460,17 +483,17 @@ TEST_CASE(asinh_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(asinh_dyn
amic
_test)
TEST_CASE(asinh_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data{-0.5f, 0.0f, 0.9f};
mm->add_instruction(migraphx::make_op("asinh"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data{-0.5f, 0.0f, 0.9f};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {3}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -501,17 +524,17 @@ TEST_CASE(atan_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(atan_dyn
amic
_test)
TEST_CASE(atan_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data{-1.0f, 0.0f, 1.0f};
mm->add_instruction(migraphx::make_op("atan"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data{-1.0f, 0.0f, 1.0f};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {3}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -542,17 +565,17 @@ TEST_CASE(atanh_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(atanh_dyn
amic
_test)
TEST_CASE(atanh_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data{0.4435683f, 0.6223626f, 0.316958f};
mm->add_instruction(migraphx::make_op("atanh"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data{0.4435683f, 0.6223626f, 0.316958f};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {3}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -565,111 +588,136 @@ TEST_CASE(atanh_dynamic_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(avgpool_test)
TEST_CASE(avgpool_
rank3_
test)
{
// 1D case 1, input is 3D
{
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {1, 3, 4}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::average};
op.lengths = {2};
op.padding = {0};
op.stride = {1};
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {1, 3, 4}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::average};
op.lengths = {2};
op.padding = {0};
op.stride = {1};
std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
p.compile(migraphx::ref::target{});
auto result = p.eval({}).back();
std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
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{0.25, 0.3, 0.25, 0.65, 0.7, 0.5, 0.4, 0.4, 0.35};
EXPECT(migraphx::verify_range(results_vector, gold));
}
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{0.25, 0.3, 0.25, 0.65, 0.7, 0.5, 0.4, 0.4, 0.35};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(avgpool_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {{1, 4, 0}, {3, 3, 0}, {4, 4, 0}}};
auto x = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("pooling",
{{"mode", migraphx::op::pooling_mode::average},
{"lengths", {2}},
{"padding", {0}},
{"stride", {1}}}),
x);
p.compile(migraphx::ref::target{});
std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {1, 3, 4}};
migraphx::parameter_map params;
params["X"] = migraphx::argument(input_fixed_shape, data.data());
auto result = p.eval(params).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{0.25, 0.3, 0.25, 0.65, 0.7, 0.5, 0.4, 0.4, 0.35};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(avgpool_rank3_stride2_test)
{
// 1D case 2, stride 2
{
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {2, 2, 4}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::average};
op.lengths = {2};
op.padding = {1};
op.stride = {2};
std::vector<float> data{1.6321,
-2.4186,
0.2239,
-1.4232,
0.8158,
0.4103,
-0.3149,
-0.1361,
-0.3442,
2.007,
0.4331,
1.5295,
0.9965,
0.4766,
1.0942,
-0.2915};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
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{1.6321,
-1.0974,
-1.4232,
0.8158,
0.0477,
-0.1361,
-0.3442,
1.22005,
1.5295,
0.9965,
0.7854,
-0.2915};
EXPECT(migraphx::verify_range(results_vector, gold));
}
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {2, 2, 4}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::average};
op.lengths = {2};
op.padding = {1};
op.stride = {2};
std::vector<float> data{1.6321,
-2.4186,
0.2239,
-1.4232,
0.8158,
0.4103,
-0.3149,
-0.1361,
-0.3442,
2.007,
0.4331,
1.5295,
0.9965,
0.4766,
1.0942,
-0.2915};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
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{1.6321,
-1.0974,
-1.4232,
0.8158,
0.0477,
-0.1361,
-0.3442,
1.22005,
1.5295,
0.9965,
0.7854,
-0.2915};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(avgpool_rank5_test)
{
// 3D, input is 5D
{
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {2, 2, 3, 3, 3}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::average};
op.lengths = {2, 2, 2};
op.padding = {0, 0, 0};
op.stride = {1, 1, 1};
std::vector<float> data{
-0.179, -1.756, 0.651, 1.955, 1.87, -0.604, 0.247, 0.449, -0.137, 1.187, 1.593,
0.424, 2.698, -0.104, -0.069, -1.293, 0.538, 1.291, 0.974, 1.096, 0.74, -0.669,
-1.08, -1.041, -1.407, 1.43, -0.211, -0.017, 0.532, 1.276, 0.627, 0.236, -0.396,
-0.204, 0.501, -0.599, -1.414, -0.615, -0.274, 0.168, -0.144, 0.5, 1.42, 1.082,
-0.952, -0.846, -1.244, 1.475, 1.246, 1.344, -1.722, -1.24, -0.851, 0.06, 0.507,
0.762, -0.007, -1.484, 1.028, 0.317, 1.077, -1.289, 0.875, -0.417, -0.673, 1.715,
-0.307, 0.264, -0.973, 1.412, 2.561, -0.515, -0.201, 0.827, -1.231, 1.958, -0.552,
0.036, -0.993, -0.859, -1.458, -0.575, 0.048, -0.779, -1.025, -1.135, 1.166, -0.131,
0.726, 0.52, 0.467, -0.494, 0.675, 0.203, -0.63, -0.918, -0.5, -1.395, 1.39,
1.705, 0.444, -0.835, -0.506, 0.101, 0.602, 0.543, 0.357, 1.042};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
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{
0.908, 0.250625, 0.795, 0.40425, 0.711875, 0.194875, 0.014125, 0.09425,
-0.078375, 0.139375, 0.46075, 0.0285, -0.188125, -0.085, 0.378125, -0.085375,
-0.04, 0.304125, 0.40775, 0.2835, 0.112375, -0.073375, 0.4355, -0.187,
-0.392625, -0.258375, -0.485875, -0.0345, 0.16125, -0.131875, -0.228375, 0.068625};
EXPECT(migraphx::verify_range(results_vector, gold));
}
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {2, 2, 3, 3, 3}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::average};
op.lengths = {2, 2, 2};
op.padding = {0, 0, 0};
op.stride = {1, 1, 1};
std::vector<float> data{
-0.179, -1.756, 0.651, 1.955, 1.87, -0.604, 0.247, 0.449, -0.137, 1.187, 1.593,
0.424, 2.698, -0.104, -0.069, -1.293, 0.538, 1.291, 0.974, 1.096, 0.74, -0.669,
-1.08, -1.041, -1.407, 1.43, -0.211, -0.017, 0.532, 1.276, 0.627, 0.236, -0.396,
-0.204, 0.501, -0.599, -1.414, -0.615, -0.274, 0.168, -0.144, 0.5, 1.42, 1.082,
-0.952, -0.846, -1.244, 1.475, 1.246, 1.344, -1.722, -1.24, -0.851, 0.06, 0.507,
0.762, -0.007, -1.484, 1.028, 0.317, 1.077, -1.289, 0.875, -0.417, -0.673, 1.715,
-0.307, 0.264, -0.973, 1.412, 2.561, -0.515, -0.201, 0.827, -1.231, 1.958, -0.552,
0.036, -0.993, -0.859, -1.458, -0.575, 0.048, -0.779, -1.025, -1.135, 1.166, -0.131,
0.726, 0.52, 0.467, -0.494, 0.675, 0.203, -0.63, -0.918, -0.5, -1.395, 1.39,
1.705, 0.444, -0.835, -0.506, 0.101, 0.602, 0.543, 0.357, 1.042};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
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{
0.908, 0.250625, 0.795, 0.40425, 0.711875, 0.194875, 0.014125, 0.09425,
-0.078375, 0.139375, 0.46075, 0.0285, -0.188125, -0.085, 0.378125, -0.085375,
-0.04, 0.304125, 0.40775, 0.2835, 0.112375, -0.073375, 0.4355, -0.187,
-0.392625, -0.258375, -0.485875, -0.0345, 0.16125, -0.131875, -0.228375, 0.068625};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(broadcast_test)
...
...
@@ -758,17 +806,17 @@ TEST_CASE(ceil_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(ceil_dyn
amic
_test)
TEST_CASE(ceil_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{4, 12, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data = {1.1, 1.5, 1.6, -1.1, -1.5, -1.6, 0.0, 2.0, -2.0};
auto input = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("ceil"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data = {1.1, 1.5, 1.6, -1.1, -1.5, -1.6, 0.0, 2.0, -2.0};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {9}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -918,11 +966,38 @@ TEST_CASE(contiguous_test)
p.compile(migraphx::ref::target{});
auto result = p.eval({}).back();
std::vector<size_t> new_strides = {12, 4, 2, 1};
EXPECT(result.get_shape().strides() == new_strides);
std::vector<float> results_vector(12);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(contiguous_param_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape a_shape{migraphx::shape::float_type, {1, 3, 2, 2}, {12, 1, 6, 3}};
auto a = mm->add_parameter("X", a_shape);
mm->add_instruction(migraphx::make_op("contiguous"), a);
p.compile(migraphx::ref::target{});
std::vector<float> data(12);
std::iota(data.begin(), data.end(), 0);
migraphx::parameter_map params;
params["X"] = migraphx::argument(a_shape, data.data());
auto result = p.eval(params).back();
std::vector<size_t> new_strides = {12, 4, 2, 1};
EXPECT(result.get_shape().strides() == new_strides);
std::vector<float> results_vector(12);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<size_t> new_lens = {1, 3, 2, 2};
std::vector<size_t> new_strides = {12, 1, 6, 3};
EXPECT(migraphx::verify_range(results_vector, data));
std::vector<float> gold = {0, 3, 6, 9, 1, 4, 7, 10, 2, 5, 8, 11};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(contiguous_dyn_test)
...
...
@@ -1069,7 +1144,7 @@ TEST_CASE(conv_dynamic_batch_test)
EXPECT(migraphx::verify_range(results_vector, sol));
}
TEST_CASE(conv_dyn
amic
_img_shape_test)
TEST_CASE(conv_dyn_img_shape_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
...
...
@@ -1158,7 +1233,7 @@ TEST_CASE(conv_dynamic_img_shape_test)
EXPECT(migraphx::verify_range(results_vector, sol));
}
TEST_CASE(conv_dyn
amic
_weights_shape_test)
TEST_CASE(conv_dyn_weights_shape_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
...
...
@@ -1235,7 +1310,7 @@ TEST_CASE(conv_dynamic_weights_shape_test)
EXPECT(migraphx::verify_range(results_vector, sol));
}
TEST_CASE(conv_dyn
amic
_img_same_upper_test)
TEST_CASE(conv_dyn_img_same_upper_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
...
...
@@ -1306,7 +1381,7 @@ TEST_CASE(conv_dynamic_img_same_upper_test)
EXPECT(migraphx::verify_range(results_vector, sol));
}
TEST_CASE(conv_dyn
amic
_kernel_same_upper_test)
TEST_CASE(conv_dyn_kernel_same_upper_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
...
...
@@ -1380,7 +1455,7 @@ TEST_CASE(conv_dynamic_kernel_same_upper_test)
EXPECT(migraphx::verify_range(results_vector, sol));
}
TEST_CASE(conv_dyn
amic
_kernel_same_lower_test)
TEST_CASE(conv_dyn_kernel_same_lower_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
...
...
@@ -1725,17 +1800,17 @@ TEST_CASE(cos_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(cos_dyn
amic
_test)
TEST_CASE(cos_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data{-1, 0, 1};
mm->add_instruction(migraphx::make_op("cos"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data{-1, 0, 1};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {3}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -1766,17 +1841,17 @@ TEST_CASE(cosh_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(cosh_dyn
amic
_test)
TEST_CASE(cosh_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data = {-1.0, 2.0, -3.0, 4.0};
auto input = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("cosh"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data = {-1.0, 2.0, -3.0, 4.0};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {4}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -1999,18 +2074,18 @@ TEST_CASE(elu_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(elu_dyn
amic
_test)
TEST_CASE(elu_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data{-1.0, 2.0, -3.0, 4.0};
auto input = mm->add_parameter("X", s);
float alpha = 0.5;
mm->add_instruction(migraphx::make_op("elu", {{"alpha", alpha}}), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data{-1.0, 2.0, -3.0, 4.0};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {4}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -2117,17 +2192,17 @@ TEST_CASE(erf_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(erf_dyn
amic
_test)
TEST_CASE(erf_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data = {0.73785057, 1.58165966, -0.43597795, -0.01677432};
auto input = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("erf"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data = {0.73785057, 1.58165966, -0.43597795, -0.01677432};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {4}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -2158,17 +2233,17 @@ TEST_CASE(exp_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(exp_dyn
amic
_test)
TEST_CASE(exp_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data{-1, 0, 1};
mm->add_instruction(migraphx::make_op("exp"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data{-1, 0, 1};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {3}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -2199,17 +2274,17 @@ TEST_CASE(floor_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(floor_dyn
amic
_test)
TEST_CASE(floor_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{5, 12, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data = {1.1, 1.5, 0.6, -1.1, -1.5, -0.6, 0.0, 2.0, -2.0};
auto input = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("floor"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data = {1.1, 1.5, 0.6, -1.1, -1.5, -0.6, 0.0, 2.0, -2.0};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {9}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -2667,6 +2742,30 @@ TEST_CASE(globalavgpool_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(globalavgpool_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
auto s =
migraphx::shape{migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {2, 6, 0}, {2, 6, 2}}};
auto x = mm->add_parameter("X", s);
mm->add_instruction(
migraphx::make_op("pooling",
{{"mode", migraphx::op::pooling_mode::average}, {"dyn_global", true}}),
x);
p.compile(migraphx::ref::target{});
std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {1, 3, 2, 2}};
migraphx::parameter_map params;
params["X"] = migraphx::argument(input_fixed_shape, data.data());
auto result = p.eval(params).back();
std::vector<float> results_vector(3);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{0.25, 0.575, 0.375};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(globallppool_test)
{
migraphx::program p;
...
...
@@ -2689,6 +2788,30 @@ TEST_CASE(globallppool_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(globallppool_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
auto s =
migraphx::shape{migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {2, 6, 2}, {2, 6, 2}}};
auto x = mm->add_parameter("X", s);
mm->add_instruction(
migraphx::make_op("pooling",
{{"mode", migraphx::op::pooling_mode::lpnorm}, {"dyn_global", true}}),
x);
p.compile(migraphx::ref::target{});
std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {1, 3, 2, 2}};
migraphx::parameter_map params;
params["X"] = migraphx::argument(input_fixed_shape, data.data());
auto result = p.eval(params).back();
std::vector<float> results_vector(3);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{0.5477225575051662, 1.307669683062202, 0.9327379053088815};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(globalmaxpool_test)
{
migraphx::program p;
...
...
@@ -2710,6 +2833,30 @@ TEST_CASE(globalmaxpool_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(globalmaxpool_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
auto s =
migraphx::shape{migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {2, 6, 2}, {2, 6, 2}}};
auto x = mm->add_parameter("X", s);
mm->add_instruction(
migraphx::make_op("pooling",
{{"mode", migraphx::op::pooling_mode::max}, {"dyn_global", true}}),
x);
p.compile(migraphx::ref::target{});
std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {1, 3, 2, 2}};
migraphx::parameter_map params;
params["X"] = migraphx::argument(input_fixed_shape, data.data());
auto result = p.eval(params).back();
std::vector<float> results_vector(3);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{0.4, 0.9, 0.7};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(greater_brcst_test)
{
migraphx::program p;
...
...
@@ -2803,16 +2950,16 @@ TEST_CASE(identity_test)
EXPECT(std::equal(data.begin(), data.end(), results_vector.begin()));
}
TEST_CASE(identity_dyn
amic
_test)
TEST_CASE(identity_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {{2, 4, 0}, {2, 4, 0}}};
auto input = mm->add_parameter("X", s);
std::vector<int> input_data{1, 2, 3, 4};
mm->add_instruction(migraphx::make_op("identity"), input);
p.compile(migraphx::ref::target{});
std::vector<int> input_data{1, 2, 3, 4};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::int32_type, {2, 2}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -3049,17 +3196,17 @@ TEST_CASE(isnan_test)
}
}
TEST_CASE(isnan_dyn
amic
_test)
TEST_CASE(isnan_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {{2, 2, 0}, {3, 8, 0}}};
auto input = mm->add_parameter("X", s);
auto nan_val = std::numeric_limits<float>::quiet_NaN();
std::vector<float> input_data = {1.2, 5.2, nan_val, nan_val, 0., 100.};
auto input = mm->add_parameter("X", s);
auto nan_val = std::numeric_limits<float>::quiet_NaN();
mm->add_instruction(migraphx::make_op("isnan"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data = {1.2, 5.2, nan_val, nan_val, 0., 100.};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {2, 3}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -3420,17 +3567,17 @@ TEST_CASE(log_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(log_dyn
amic
_test)
TEST_CASE(log_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data = {1, 2, 3};
auto input = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("log"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data = {1, 2, 3};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {3}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -3732,61 +3879,93 @@ TEST_CASE(logsoftmax_test_axis_3)
EXPECT(migraphx::verify_range(results_vector, s));
}
TEST_CASE(lppool_test)
TEST_CASE(lppool_
l1_norm_
test)
{
// L1 norm test
{
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {1, 3, 4}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::lpnorm};
op.lengths = {2};
op.padding = {0};
op.stride = {1};
op.lp_order = 1;
std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
p.compile(migraphx::ref::target{});
auto result = p.eval({}).back();
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {1, 3, 4}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::lpnorm};
op.lengths = {2};
op.padding = {0};
op.stride = {1};
op.lp_order = 1;
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{0.5, 0.6, 0.5, 1.3, 1.4, 1.0, 0.8, 0.8, 0.7};
EXPECT(migraphx::verify_range(results_vector, gold));
}
std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
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{0.5, 0.6, 0.5, 1.3, 1.4, 1.0, 0.8, 0.8, 0.7};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(lppool_l2_norm_test)
{
// L2 norm test
{
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {1, 3, 4}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::lpnorm};
op.lengths = {2};
op.padding = {0};
op.stride = {1};
op.lp_order = 2;
std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
p.compile(migraphx::ref::target{});
auto result = p.eval({}).back();
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {1, 3, 4}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::lpnorm};
op.lengths = {2};
op.padding = {0};
op.stride = {1};
op.lp_order = 2;
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{0.36055512754639896,
0.447213595499958,
0.4123105625617661,
0.9433981132056605,
1.0295630140987,
0.9055385138137417,
0.7071067811865475,
0.7071067811865475,
0.6082762530298219};
EXPECT(migraphx::verify_range(results_vector, gold));
}
std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
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{0.36055512754639896,
0.447213595499958,
0.4123105625617661,
0.9433981132056605,
1.0295630140987,
0.9055385138137417,
0.7071067811865475,
0.7071067811865475,
0.6082762530298219};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(lppool_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {{1, 4, 0}, {3, 3, 0}, {4, 4, 0}}};
auto x = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("pooling",
{{"mode", migraphx::op::pooling_mode::lpnorm},
{"lengths", {2}},
{"padding", {0}},
{"stride", {1}}}),
x);
p.compile(migraphx::ref::target{});
std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {1, 3, 4}};
migraphx::parameter_map params;
params["X"] = migraphx::argument(input_fixed_shape, data.data());
auto result = p.eval(params).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{0.36055512754639896,
0.447213595499958,
0.4123105625617661,
0.9433981132056605,
1.0295630140987,
0.9055385138137417,
0.7071067811865475,
0.7071067811865475,
0.6082762530298219};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(lrn_test)
...
...
@@ -3908,122 +4087,147 @@ TEST_CASE(maxpool_test)
EXPECT(migraphx::verify_range(results_vector, c));
}
TEST_CASE(maxpool_
test_1D_3D
)
TEST_CASE(maxpool_
rank3_test0
)
{
// 1D case 1, input is 3D
{
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {1, 3, 4}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::max};
op.lengths = {2};
op.padding = {0};
op.stride = {1};
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {1, 3, 4}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::max};
op.lengths = {2};
op.padding = {0};
op.stride = {1};
std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
p.compile(migraphx::ref::target{});
auto result = p.eval({}).back();
std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
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{0.3, 0.4, 0.4, 0.8, 0.9, 0.9, 0.7, 0.7, 0.6};
EXPECT(migraphx::verify_range(results_vector, gold));
}
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{0.3, 0.4, 0.4, 0.8, 0.9, 0.9, 0.7, 0.7, 0.6};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(maxpool_rank3_test1)
{
// 1D case 2, input is 3D
{
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {2, 2, 5}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::max};
op.lengths = {2};
op.padding = {0};
op.stride = {2};
std::vector<float> data{0.4975, -0.1226, -0.0405, -0.2861, -0.1227, -0.6186, -0.9618,
0.6022, -0.1912, 1.1925, 0.5493, 0.1692, -0.8039, -1.0281,
0.9907, 0.477, 1.5001, -1.1603, -1.361, 1.2556};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
p.compile(migraphx::ref::target{});
auto result = p.eval({}).back();
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {2, 2, 5}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::max};
op.lengths = {2};
op.padding = {0};
op.stride = {2};
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{0.4975, -0.0405, -0.6186, 0.6022, 0.5493, -0.8039, 1.5001, -1.1603};
EXPECT(migraphx::verify_range(results_vector, gold));
}
std::vector<float> data{0.4975, -0.1226, -0.0405, -0.2861, -0.1227, -0.6186, -0.9618,
0.6022, -0.1912, 1.1925, 0.5493, 0.1692, -0.8039, -1.0281,
0.9907, 0.477, 1.5001, -1.1603, -1.361, 1.2556};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
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{0.4975, -0.0405, -0.6186, 0.6022, 0.5493, -0.8039, 1.5001, -1.1603};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(maxpool_rank3_ceil_test)
{
// 1D case 2, input is 3D, ceil mode
{
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {2, 2, 5}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::max};
op.lengths = {2};
op.padding = {0};
op.stride = {2};
op.ceil_mode = true;
std::vector<float> data{0.4975, -0.1226, -0.0405, -0.2861, -0.1227, -0.6186, -0.9618,
0.6022, -0.1912, 1.1925, 0.5493, 0.1692, -0.8039, -1.0281,
0.9907, 0.477, 1.5001, -1.1603, -1.361, 1.2556};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
p.compile(migraphx::ref::target{});
auto result = p.eval({}).back();
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {2, 2, 5}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::max};
op.lengths = {2};
op.padding = {0};
op.stride = {2};
op.ceil_mode = true;
std::vector<float> data{0.4975, -0.1226, -0.0405, -0.2861, -0.1227, -0.6186, -0.9618,
0.6022, -0.1912, 1.1925, 0.5493, 0.1692, -0.8039, -1.0281,
0.9907, 0.477, 1.5001, -1.1603, -1.361, 1.2556};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
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{0.4975,
-0.0405,
-0.1227,
-0.6186,
0.6022,
1.1925,
0.5493,
-0.8039,
0.9907,
1.5001,
-1.1603,
1.2556};
EXPECT(migraphx::verify_range(results_vector, gold));
}
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{0.4975,
-0.0405,
-0.1227,
-0.6186,
0.6022,
1.1925,
0.5493,
-0.8039,
0.9907,
1.5001,
-1.1603,
1.2556};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(maxpool_rank5_test)
{
// 3D, input is 5D
{
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {2, 2, 3, 3, 3}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::max};
op.lengths = {2, 2, 2};
op.padding = {0, 0, 0};
op.stride = {2, 2, 2};
std::vector<float> data{
-2.8029, 0.5861, 0.7015, 0.1297, -1.44, -1.9472, 0.7812, 2.408, -0.3145,
0.3405, -0.9146, 0.0624, 1.5064, -0.8345, 1.7977, 1.8949, 1.0073, -0.2102,
-0.042, -0.7146, 0.6227, -0.5263, -2.2598, 0.1713, 0.449, 0.5303, -0.8622,
-0.5691, 0.907, -0.0569, -1.5348, -0.4109, -0.1461, -0.5445, 0.4266, 0.2282,
1.3655, -2.1519, 0.6068, -0.2001, -0.4702, 0.3864, 1.7083, 0.9096, 0.4286,
-1.8866, 0.7034, 0.0293, 1.4587, 0.7672, -2.8614, 0.8124, -0.053, 1.0449,
0.845, -0.0131, 0.1139, -0.859, -1.2681, -0.6337, -0.4644, 0.1938, 0.2889,
0.9035, 0.7118, -0.5767, 0.4577, -0.0549, 0.2237, 0.5756, 0.0677, -0.0223,
-0.329, 0.2364, 2.7666, -0.7417, -1.3196, -0.2655, 0.1698, -0.1777, -0.9427,
2.6859, -0.7501, 0.5175, 1.0029, -2.6436, -0.4388, -1.2348, -0.1539, -0.6229,
-0.4136, 0.5085, 0.4136, -0.6439, -1.1953, -0.406, -0.0195, 0.1869, -0.8664,
1.1364, 0.5041, 0.0647, 0.1941, -1.0819, -0.4629, -0.5107, 0.3612, -0.3583};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
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{1.5064, 1.3655, 0.9035, 2.6859};
EXPECT(migraphx::verify_range(results_vector, gold));
}
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {2, 2, 3, 3, 3}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::max};
op.lengths = {2, 2, 2};
op.padding = {0, 0, 0};
op.stride = {2, 2, 2};
std::vector<float> data{
-2.8029, 0.5861, 0.7015, 0.1297, -1.44, -1.9472, 0.7812, 2.408, -0.3145, 0.3405,
-0.9146, 0.0624, 1.5064, -0.8345, 1.7977, 1.8949, 1.0073, -0.2102, -0.042, -0.7146,
0.6227, -0.5263, -2.2598, 0.1713, 0.449, 0.5303, -0.8622, -0.5691, 0.907, -0.0569,
-1.5348, -0.4109, -0.1461, -0.5445, 0.4266, 0.2282, 1.3655, -2.1519, 0.6068, -0.2001,
-0.4702, 0.3864, 1.7083, 0.9096, 0.4286, -1.8866, 0.7034, 0.0293, 1.4587, 0.7672,
-2.8614, 0.8124, -0.053, 1.0449, 0.845, -0.0131, 0.1139, -0.859, -1.2681, -0.6337,
-0.4644, 0.1938, 0.2889, 0.9035, 0.7118, -0.5767, 0.4577, -0.0549, 0.2237, 0.5756,
0.0677, -0.0223, -0.329, 0.2364, 2.7666, -0.7417, -1.3196, -0.2655, 0.1698, -0.1777,
-0.9427, 2.6859, -0.7501, 0.5175, 1.0029, -2.6436, -0.4388, -1.2348, -0.1539, -0.6229,
-0.4136, 0.5085, 0.4136, -0.6439, -1.1953, -0.406, -0.0195, 0.1869, -0.8664, 1.1364,
0.5041, 0.0647, 0.1941, -1.0819, -0.4629, -0.5107, 0.3612, -0.3583};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(op, l0);
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{1.5064, 1.3655, 0.9035, 2.6859};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(maxpool_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
auto s = migraphx::shape{migraphx::shape::float_type, {{1, 4, 0}, {3, 3, 0}, {4, 4, 0}}};
auto x = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("pooling",
{{"mode", migraphx::op::pooling_mode::max},
{"lengths", {2}},
{"padding", {0}},
{"stride", {1}}}),
x);
p.compile(migraphx::ref::target{});
std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {1, 3, 4}};
migraphx::parameter_map params;
params["X"] = migraphx::argument(input_fixed_shape, data.data());
auto result = p.eval(params).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{0.3, 0.4, 0.4, 0.8, 0.9, 0.9, 0.7, 0.7, 0.6};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(min_test)
...
...
@@ -4090,7 +4294,7 @@ TEST_CASE(fmod_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(fmod_dyn
amic
_test)
TEST_CASE(fmod_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
...
...
@@ -4386,16 +4590,17 @@ TEST_CASE(neg_test)
EXPECT(migraphx::verify_range(result_vector, gold));
}
TEST_CASE(neg_dyn
amic
_test)
TEST_CASE(neg_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {{2, 4, 0}, {3, 3, 0}}};
std::vector<float> a = {1.0f, 1.3f, -1.2f, 0.0f, -100.f, 200.f};
auto input = mm->add_parameter("X", s);
auto ret = mm->add_instruction(migraphx::make_op("neg"), input);
auto input = mm->add_parameter("X", s);
auto ret = mm->add_instruction(migraphx::make_op("neg"), input);
mm->add_return({ret});
p.compile(migraphx::ref::target{});
std::vector<float> a = {1.0f, 1.3f, -1.2f, 0.0f, -100.f, 200.f};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {2, 3}};
params0["X"] = migraphx::argument(input_fixed_shape0, a.data());
...
...
@@ -4407,7 +4612,7 @@ TEST_CASE(neg_dynamic_test)
EXPECT(migraphx::verify_range(result_vector, gold));
}
TEST_CASE(nms_dyn
amic
_out_test)
TEST_CASE(nms_dyn_out_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
...
...
@@ -4442,7 +4647,7 @@ TEST_CASE(nms_dynamic_out_test)
EXPECT(migraphx::verify_range(result, gold));
}
TEST_CASE(nms_dyn
amic
_batch_test)
TEST_CASE(nms_dyn_batch_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
...
...
@@ -4488,7 +4693,7 @@ TEST_CASE(nms_dynamic_batch_test)
EXPECT(migraphx::verify_range(result, gold));
}
TEST_CASE(nms_dyn
amic
_boxes_test)
TEST_CASE(nms_dyn_boxes_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
...
...
@@ -4531,7 +4736,7 @@ TEST_CASE(nms_dynamic_boxes_test)
EXPECT(migraphx::verify_range(result, gold));
}
TEST_CASE(nms_dyn
amic
_classes_test)
TEST_CASE(nms_dyn_classes_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
...
...
@@ -4777,17 +4982,17 @@ TEST_CASE(not_test)
}
}
TEST_CASE(not_dyn
amic
_test)
TEST_CASE(not_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data{0, 8, 1, -32};
mm->add_instruction(migraphx::make_op("not"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data{0, 8, 1, -32};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {4}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -5511,17 +5716,17 @@ TEST_CASE(recip_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(recip_dyn
amic
_test)
TEST_CASE(recip_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data{-0.5f, 0.1f, 0.5f};
mm->add_instruction(migraphx::make_op("recip"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data{-0.5f, 0.1f, 0.5f};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {3}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -5819,17 +6024,17 @@ TEST_CASE(relu_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(relu_dyn
amic
_test)
TEST_CASE(relu_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data{-1.f, 0.f, 1.f};
mm->add_instruction(migraphx::make_op("relu"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data{-1.f, 0.f, 1.f};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {3}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -6124,17 +6329,17 @@ TEST_CASE(round_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(round_dyn
amic
_test)
TEST_CASE(round_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{4, 10, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data{1.1, 1.5, 1.6, -1.1, -1.5, -1.6, 0.0, 2.0, -2.0};
mm->add_instruction(migraphx::make_op("round"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data{1.1, 1.5, 1.6, -1.1, -1.5, -1.6, 0.0, 2.0, -2.0};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {9}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -6160,17 +6365,17 @@ TEST_CASE(rsqrt_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(rsqrt_dyn
amic
_test)
TEST_CASE(rsqrt_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data{4.0, 16.0, 64.0};
mm->add_instruction(migraphx::make_op("rsqrt"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data{4.0, 16.0, 64.0};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {3}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -6729,16 +6934,16 @@ TEST_CASE(sigmoid_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(sigmoid_dyn
amic
_test)
TEST_CASE(sigmoid_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {{2, 4, 0}, {2, 2, 0}}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data{-1, 2, -3, 4};
mm->add_instruction(migraphx::make_op("sigmoid"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data{-1, 2, -3, 4};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {2, 2}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -6765,17 +6970,17 @@ TEST_CASE(sign_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(sign_dyn
amic
_test)
TEST_CASE(sign_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data{1.02481645, 0.85643062, -0.03404123, -0.92791926, 0.0};
mm->add_instruction(migraphx::make_op("sign"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data{1.02481645, 0.85643062, -0.03404123, -0.92791926, 0.0};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {5}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -6804,17 +7009,17 @@ TEST_CASE(sin_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(sin_dyn
amic
_test)
TEST_CASE(sin_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8, 0};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data = {-1, 0, 1};
auto input = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("sin"), input);
p.compile(migraphx::ref::target{});
std::vector<float> input_data = {-1, 0, 1};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {3}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
...
...
@@ -6989,6 +7194,69 @@ TEST_CASE(softmax_test)
EXPECT(migraphx::verify_range(results_vector, s));
}
TEST_CASE(softmax_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape a_shape{migraphx::shape::float_type,
{{1, 10, 0}, {1, 3, 3}, {4, 4, 0}, {2, 2, 2}}};
auto al = mm->add_parameter("a", a_shape);
mm->add_instruction(migraphx::make_op("softmax", {{"axis", 1}}), al);
p.compile(migraphx::ref::target{});
std::vector<float> a = {
-5.61869681e-01, 9.07827199e-01, 1.29255986e+00, 3.18533443e-02, -1.22183852e-03,
-2.83830553e-01, -1.03245842e+00, -9.28322077e-01, -8.82696748e-01, 1.11327164e-01,
-9.20038462e-01, 8.47388089e-01, 2.51734018e-01, 1.50563884e+00, 2.23056650e+00,
-6.17576987e-02, -1.00264274e-01, -6.10369384e-01, 1.17537189e+00, -2.51560897e-01,
-8.50333512e-01, -8.03578615e-01, -6.51194930e-01, -2.58137047e-01, 4.65528190e-01,
3.23284641e-02, -1.54700470e+00, 1.38096774e+00, 5.39869189e-01, -7.56884992e-01,
1.81503093e+00, -2.11269641e+00, 1.92466557e+00, 1.77230799e+00, 2.21660900e+00,
1.56777036e+00, -2.08995026e-03, 3.50566894e-01, -1.15042710e+00, -1.18577778e+00,
8.90633047e-01, -6.63949102e-02, 1.44661188e+00, 1.59215283e+00, -2.56262213e-01,
9.39079225e-01, 4.07298543e-02, 3.86590779e-01, 6.09607756e-01, 8.22331488e-01,
-2.82126725e-01, -9.49052632e-01, -4.24012303e-01, -5.32990396e-01, -3.18386006e+00,
3.27092171e-01, -1.33315325e+00, 3.62459183e-01, 3.74710828e-01, -1.30302286e+00,
1.79680198e-01, -4.51832324e-01, 4.34282750e-01, -7.09520102e-01, 6.20333970e-01,
-1.28712380e+00, 2.04130828e-01, -7.70607769e-01, 1.61889160e+00, -1.50951004e+00,
-4.10505563e-01, -3.56566496e-02, -1.29747534e+00, -1.49967879e-01, 7.77626812e-01,
-8.28408226e-02, 2.73412596e-02, 5.79780899e-03, 9.87900198e-02, -7.95276761e-01,
-1.38536084e+00, -6.63573861e-01, 3.89783204e-01, -1.30670881e+00, -7.62425125e-01,
-4.04883057e-01, 6.24344349e-01, 3.68128955e-01, -1.01577950e+00, -3.06715906e-01,
5.67961395e-01, 2.98198581e-01, -1.63613629e+00, -3.75131965e-01, -6.75393403e-01,
2.59172034e+00, 6.75538957e-01, 9.07939598e-02, 1.92257717e-01, -1.21592450e+00,
-2.73682117e-01, 1.25232983e+00, -1.39969170e+00, -1.91483587e-01, 2.57732719e-01,
3.10056299e-01, 1.41833842e+00, -1.81386679e-01, 3.92868072e-01, -8.14771175e-01,
2.02392387e+00, -9.42091495e-02, -3.77683818e-01, 2.05638766e+00, 2.93796062e-01,
-6.02131486e-01, 2.70461679e-01, -8.92358482e-01, 1.04388881e+00, 2.66154885e-01};
migraphx::parameter_map params;
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {5, 3, 4, 2}};
params["a"] = migraphx::argument(input_fixed_shape, a.data());
auto result = p.eval(params).back();
std::vector<float> results_vector(120);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> s = {
0.30191708, 0.59879845, 0.50029165, 0.24915339, 0.36823985, 0.13190967, 0.0349741,
0.18750034, 0.21905553, 0.27000085, 0.0547399, 0.56318235, 0.47422904, 0.78964758,
0.91381913, 0.44601166, 0.47902739, 0.13120073, 0.4449684, 0.18766427, 0.15753111,
0.07844277, 0.05120674, 0.36648798, 0.14637007, 0.13152322, 0.01560997, 0.29065287,
0.49196178, 0.10550152, 0.81890774, 0.06369215, 0.62972021, 0.74931765, 0.67285055,
0.35034987, 0.28612873, 0.31931475, 0.04220394, 0.16093165, 0.22390974, 0.11915915,
0.3115395, 0.35899726, 0.22190949, 0.57518375, 0.13888834, 0.7753762, 0.4642328,
0.57055861, 0.21954368, 0.34515455, 0.09486015, 0.40631217, 0.01842281, 0.48770609,
0.06652815, 0.36023033, 0.42343026, 0.24226256, 0.17348589, 0.44066274, 0.6865865,
0.17296699, 0.46923906, 0.06921105, 0.3570261, 0.4125829, 0.73165393, 0.15302512,
0.29499072, 0.33932695, 0.30852377, 0.40762195, 0.40170741, 0.36259529, 0.60848355,
0.42618036, 0.31721094, 0.02960522, 0.28256637, 0.24389413, 0.2725659, 0.10663581,
0.27622163, 0.28264219, 0.53652936, 0.09476089, 0.40890986, 0.34848392, 0.32572666,
0.53076893, 0.11529481, 0.29117745, 0.14625968, 0.8756339, 0.49818122, 0.10656087,
0.1813329, 0.17664003, 0.21410346, 0.80408043, 0.02315119, 0.27155462, 0.32804728,
0.13268511, 0.61795473, 0.49703068, 0.41696799, 0.10175809, 0.71028161, 0.29929739,
0.17377149, 0.76075399, 0.20071237, 0.32632929, 0.36892858, 0.09416146, 0.26656723,
0.42914796};
EXPECT(migraphx::verify_range(results_vector, s));
}
TEST_CASE(sqdiff_test)
{
migraphx::program p;
...
...
@@ -7111,6 +7379,25 @@ TEST_CASE(squeeze_test)
}
}
TEST_CASE(squeeze_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s1{migraphx::shape::float_type,
{{1, 4, 0}, {1, 1, 0}, {3, 3, 0}, {1, 1, 0}, {3, 3, 0}}};
auto p0 = mm->add_parameter("x", s1);
mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {1}}}), p0);
p.compile(migraphx::ref::target{});
std::vector<float> input_data(4 * 3 * 3);
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {4, 1, 3, 1, 3}};
params0["x"] = migraphx::argument(input_fixed_shape0, input_data.data());
auto result = p.eval(params0).back();
migraphx::shape s2{migraphx::shape::float_type, {4, 3, 1, 3}};
EXPECT(result.get_shape() == s2);
}
TEST_CASE(step_test)
{
{
...
...
@@ -7336,11 +7623,6 @@ TEST_CASE(transpose_test)
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), l);
p.compile(migraphx::ref::target{});
auto result = p.eval({}).back();
result.visit([&](auto output) {
std::vector<size_t> new_lens = {1, 3, 2, 2};
EXPECT(bool{output.get_shape().lens() == new_lens});
});
}
{
migraphx::program p;
...
...
@@ -7360,6 +7642,32 @@ TEST_CASE(transpose_test)
}
}
TEST_CASE(transpose_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {{1, 4, 0}, {2, 2, 0}, {2, 2, 0}, {3, 3, 0}}};
auto l = mm->add_parameter("X", s);
std::vector<int64_t> perm = {0, 3, 1, 2};
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), l);
p.compile(migraphx::ref::target{});
std::vector<float> data(12);
std::iota(data.begin(), data.end(), 0);
migraphx::parameter_map params;
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {1, 2, 2, 3}};
params["X"] = migraphx::argument(input_fixed_shape, data.data());
auto result = p.eval(params).back();
std::vector<size_t> new_lens = {1, 3, 2, 2};
EXPECT(result.get_shape().lens() == new_lens);
std::vector<float> results_vector(12);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {0, 3, 6, 9, 1, 4, 7, 10, 2, 5, 8, 11};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(unsqueeze_test)
{
{
...
...
@@ -7388,6 +7696,25 @@ TEST_CASE(unsqueeze_test)
}
}
TEST_CASE(unsqueeze_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s1{migraphx::shape::float_type, {{1, 4, 0}, {3, 3, 0}, {3, 3, 0}}};
auto p0 = mm->add_parameter("x", s1);
mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1}}}), p0);
p.compile(migraphx::ref::target{});
std::vector<float> input_data(4 * 3 * 3);
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {4, 3, 3}};
params0["x"] = migraphx::argument(input_fixed_shape0, input_data.data());
auto result = p.eval(params0).back();
migraphx::shape s2{migraphx::shape::float_type, {4, 1, 3, 3}};
EXPECT(result.get_shape() == s2);
}
TEST_CASE(where_test)
{
migraphx::program p;
...
...
test/ref_rnn_ops_test.cpp
View file @
913ae362
...
...
@@ -31,6 +31,7 @@
#include <migraphx/onnx.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/quantization.hpp>
#include <migraphx/serialize.hpp>
#include "test.hpp"
...
...
@@ -932,6 +933,90 @@ TEST_CASE(rnn_bidirectional)
}
}
TEST_CASE
(
rnn_fp16
)
{
std
::
size_t
batch_size
=
2
;
std
::
size_t
seq_len
=
2
;
std
::
size_t
hidden_size
=
4
;
std
::
size_t
input_size
=
3
;
std
::
size_t
num_dirct
=
1
;
std
::
vector
<
float
>
w_data
{
0.4691
,
0.3185
,
-
0.2227
,
0.4423
,
-
0.0609
,
-
0.2803
,
0.1744
,
0.3146
,
0.4049
,
-
0.3973
,
-
0.0890
,
-
0.1636
};
std
::
vector
<
float
>
r_data
{
-
0.0456
,
0.1061
,
0.1574
,
-
0.4928
,
-
0.4300
,
-
0.1909
,
-
0.0225
,
-
0.2668
,
0.1840
,
-
0.4453
,
-
0.4896
,
0.1302
,
-
0.0929
,
0.3545
,
-
0.4981
,
0.0616
};
std
::
vector
<
float
>
bias_data
{
-
0.4938
,
0.4355
,
-
0.3186
,
0.2094
,
0.1037
,
-
0.1071
,
0.4504
,
-
0.3990
};
std
::
vector
<
float
>
ih_data
(
num_dirct
*
batch_size
*
hidden_size
,
0
);
std
::
vector
<
float
>
input
(
seq_len
*
batch_size
*
input_size
,
0
);
input
[
0
]
=
input
[
1
]
=
1.0
;
migraphx
::
shape
in_shape
{
migraphx
::
shape
::
float_type
,
{
seq_len
,
batch_size
,
input_size
}};
migraphx
::
shape
ih_shape
{
migraphx
::
shape
::
float_type
,
{
num_dirct
,
batch_size
,
hidden_size
}};
migraphx
::
shape
w_shape
{
migraphx
::
shape
::
float_type
,
{
num_dirct
,
hidden_size
,
input_size
}};
migraphx
::
shape
r_shape
{
migraphx
::
shape
::
float_type
,
{
num_dirct
,
hidden_size
,
hidden_size
}};
migraphx
::
shape
b_shape
{
migraphx
::
shape
::
float_type
,
{
num_dirct
,
2
*
hidden_size
}};
float
clip
=
0.0
f
;
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
auto
seq
=
mm
->
add_literal
(
migraphx
::
literal
{
in_shape
,
input
});
auto
w
=
mm
->
add_literal
(
migraphx
::
literal
{
w_shape
,
w_data
});
auto
r
=
mm
->
add_literal
(
migraphx
::
literal
{
r_shape
,
r_data
});
auto
seq_half
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"convert"
,
{{
"target_type"
,
migraphx
::
shape
::
half_type
}}),
seq
);
auto
w_half
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"convert"
,
{{
"target_type"
,
migraphx
::
shape
::
half_type
}}),
w
);
auto
r_half
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"convert"
,
{{
"target_type"
,
migraphx
::
shape
::
half_type
}}),
r
);
auto
out_hs
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"rnn"
,
{{
"hidden_size"
,
hidden_size
},
{
"actv_func"
,
{}},
{
"direction"
,
migraphx
::
to_value
(
migraphx
::
op
::
rnn_direction
::
forward
)},
{
"clip"
,
clip
}}),
seq_half
,
w_half
,
r_half
);
mm
->
add_instruction
(
migraphx
::
make_op
(
"rnn_last_hs_output"
),
out_hs
);
p
.
compile
(
migraphx
::
ref
::
target
{});
auto
last_output
=
p
.
eval
({}).
back
();
std
::
vector
<
float
>
last_output_data
;
last_output
.
visit
([
&
](
auto
out
)
{
last_output_data
.
assign
(
out
.
begin
(),
out
.
end
());
});
std
::
vector
<
float
>
last_output_data_gold
{
0.2935145
,
-
0.23719997
,
-
0.31123261
,
-
0.18357255
,
0.
,
0.
,
0.
,
0.
};
EXPECT
(
migraphx
::
verify_range
(
last_output_data
,
last_output_data_gold
,
5e4
));
}
TEST_CASE
(
gru_forward
)
{
std
::
size_t
batch_size
=
2
;
...
...
@@ -2797,6 +2882,116 @@ TEST_CASE(gru_bidirectional_seq_1)
EXPECT
(
migraphx
::
verify_range
(
hs_data
,
hs_data_gold
));
}
TEST_CASE
(
gru_fp16
)
{
std
::
size_t
batch_size
=
2
;
std
::
size_t
seq_len
=
3
;
std
::
size_t
hidden_size
=
5
;
std
::
size_t
input_size
=
3
;
std
::
size_t
num_dirct
=
1
;
migraphx
::
shape
w_shape
{
migraphx
::
shape
::
float_type
,
{
num_dirct
,
3
*
hidden_size
,
input_size
}};
std
::
vector
<
float
>
w_data
{
0.3485
,
-
0.0378
,
-
0.1782
,
0.1416
,
-
0.3096
,
-
0.2212
,
-
0.3883
,
0.1983
,
-
0.2418
,
0.1480
,
-
0.3255
,
0.1359
,
-
0.3551
,
-
0.3605
,
-
0.3482
,
-
0.1424
,
-
0.0495
,
-
0.1640
,
-
0.1979
,
-
0.2577
,
-
0.4097
,
-
0.1211
,
-
0.0412
,
0.1801
,
0.1721
,
-
0.4327
,
-
0.0498
,
0.2628
,
-
0.1573
,
-
0.1577
,
0.2759
,
-
0.2023
,
-
0.1185
,
-
0.2136
,
0.1294
,
-
0.2331
,
0.0701
,
0.4316
,
0.0480
,
0.0247
,
-
0.0166
,
-
0.2729
,
0.1712
,
-
0.3984
,
-
0.3905
};
migraphx
::
shape
r_shape
{
migraphx
::
shape
::
float_type
,
{
num_dirct
,
3
*
hidden_size
,
hidden_size
}};
std
::
vector
<
float
>
r_data
{
0.2848
,
-
0.2851
,
-
0.3466
,
-
0.1718
,
-
0.1492
,
-
0.0082
,
0.2452
,
-
0.0401
,
0.3399
,
0.2529
,
-
0.0953
,
-
0.0903
,
-
0.1518
,
-
0.1373
,
0.3848
,
-
0.0130
,
-
0.4339
,
0.0406
,
-
0.1926
,
-
0.1131
,
0.4285
,
-
0.0013
,
0.2243
,
0.2752
,
0.1776
,
-
0.1720
,
0.0822
,
-
0.0295
,
0.1062
,
-
0.2721
,
-
0.2736
,
-
0.1826
,
0.3541
,
-
0.4259
,
0.2188
,
0.0706
,
0.3650
,
0.3947
,
0.2522
,
0.2179
,
-
0.0744
,
0.2122
,
-
0.4346
,
0.2760
,
0.4076
,
0.1183
,
-
0.1500
,
-
0.1704
,
0.3090
,
-
0.0706
,
-
0.2442
,
0.3021
,
0.1680
,
0.0783
,
-
0.3754
,
-
0.3469
,
-
0.2972
,
-
0.0170
,
0.4143
,
0.3801
,
0.3852
,
-
0.1170
,
-
0.2937
,
0.2979
,
-
0.1357
,
0.4257
,
0.3884
,
-
0.2916
,
0.1071
,
0.0934
,
0.3645
,
-
0.4310
,
-
0.3480
,
0.0702
,
-
0.1558
};
migraphx
::
shape
b_shape
{
migraphx
::
shape
::
float_type
,
{
num_dirct
,
6
*
hidden_size
}};
std
::
vector
<
float
>
bias_data
{
0.0560
,
0.0310
,
-
0.1669
,
-
0.0781
,
0.1793
,
-
0.1758
,
0.3173
,
-
0.1650
,
-
0.3732
,
0.2946
,
-
0.0912
,
0.3118
,
0.1391
,
0.2755
,
0.2695
,
-
0.1059
,
-
0.2357
,
0.3629
,
-
0.2534
,
-
0.0494
,
0.0556
,
0.0881
,
-
0.2592
,
-
0.2213
,
0.2310
,
-
0.4044
,
0.1801
,
0.1438
,
0.3108
,
-
0.3607
};
migraphx
::
shape
in_shape
{
migraphx
::
shape
::
float_type
,
{
seq_len
,
batch_size
,
input_size
}};
std
::
vector
<
float
>
input
{
-
0.8432
,
-
0.9887
,
1.3041
,
-
2.6430
,
-
0.3306
,
-
0.8504
,
-
0.3933
,
0.5151
,
-
0.2951
,
0.0093
,
-
1.1948
,
-
0.1239
,
0.0373
,
1.3211
,
0.7854
,
-
0.4838
,
-
1.0536
,
-
0.2529
};
migraphx
::
shape
ih_shape
{
migraphx
::
shape
::
float_type
,
{
num_dirct
,
batch_size
,
hidden_size
}};
std
::
vector
<
float
>
ih_data
{
-
0.0468
,
0.5691
,
-
0.0882
,
0.8340
,
0.1483
,
-
0.3902
,
-
0.5348
,
0.4178
,
1.0175
,
0.9212
};
float
clip
=
0.0
f
;
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
auto
seq
=
mm
->
add_literal
(
migraphx
::
literal
{
in_shape
,
input
});
auto
w
=
mm
->
add_literal
(
migraphx
::
literal
{
w_shape
,
w_data
});
auto
r
=
mm
->
add_literal
(
migraphx
::
literal
{
r_shape
,
r_data
});
auto
bias
=
mm
->
add_literal
(
migraphx
::
literal
{
b_shape
,
bias_data
});
auto
und
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"undefined"
));
auto
ih
=
mm
->
add_literal
(
migraphx
::
literal
{
ih_shape
,
ih_data
});
auto
seq_half
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"convert"
,
{{
"target_type"
,
migraphx
::
shape
::
half_type
}}),
seq
);
auto
w_half
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"convert"
,
{{
"target_type"
,
migraphx
::
shape
::
half_type
}}),
w
);
auto
r_half
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"convert"
,
{{
"target_type"
,
migraphx
::
shape
::
half_type
}}),
r
);
auto
bias_half
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"convert"
,
{{
"target_type"
,
migraphx
::
shape
::
half_type
}}),
bias
);
auto
und_half
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"convert"
,
{{
"target_type"
,
migraphx
::
shape
::
half_type
}}),
und
);
auto
ih_half
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"convert"
,
{{
"target_type"
,
migraphx
::
shape
::
half_type
}}),
ih
);
mm
->
add_instruction
(
migraphx
::
make_op
(
"gru"
,
{{
"hidden_size"
,
hidden_size
},
{
"actv_func"
,
migraphx
::
to_value
(
std
::
vector
<
migraphx
::
operation
>
{
migraphx
::
make_op
(
"sigmoid"
),
migraphx
::
make_op
(
"tanh"
)})},
{
"direction"
,
migraphx
::
to_value
(
migraphx
::
op
::
rnn_direction
::
forward
)},
{
"clip"
,
clip
},
{
"linear_before_reset"
,
1
}}),
seq_half
,
w_half
,
r_half
,
bias_half
,
und_half
,
ih_half
);
p
.
compile
(
migraphx
::
ref
::
target
{});
auto
hs_concat
=
p
.
eval
({}).
back
();
std
::
vector
<
float
>
hs_data
;
hs_concat
.
visit
([
&
](
auto
output
)
{
hs_data
.
assign
(
output
.
begin
(),
output
.
end
());
});
std
::
vector
<
float
>
hs_data_gold
{
-
0.27298412
,
0.42363745
,
-
0.09368783
,
0.4823072
,
-
0.02183238
,
-
0.6873896
,
0.16144305
,
0.31932795
,
0.6104771
,
0.79759157
,
-
0.31791314
,
0.5249062
,
0.08800987
,
0.46404213
,
-
0.11872687
,
-
0.26210734
,
0.34448293
,
-
0.0176422
,
0.48523626
,
0.60002893
,
-
0.3969709
,
0.43360898
,
0.35775262
,
0.23280787
,
-
0.52179873
,
-
0.21944991
,
0.4535257
,
-
0.13735442
,
0.51757574
,
0.50380427
};
EXPECT
(
migraphx
::
verify_range
(
hs_data
,
hs_data_gold
,
5e4
));
}
TEST_CASE
(
lstm_forward
)
{
std
::
size_t
batch_size
=
3
;
...
...
@@ -4651,4 +4846,148 @@ TEST_CASE(lstm_bidirectional_actv_func)
}
}
TEST_CASE
(
lstm_fp16
)
{
std
::
size_t
batch_size
=
3
;
std
::
size_t
seq_len
=
4
;
std
::
size_t
hidden_size
=
4
;
std
::
size_t
input_size
=
3
;
std
::
size_t
num_dirct
=
1
;
std
::
vector
<
float
>
w_data
{
0.1236
,
-
0.3942
,
0.4149
,
0.0795
,
0.4934
,
-
0.2858
,
0.2602
,
-
0.3098
,
0.0567
,
0.3344
,
0.3607
,
-
0.0551
,
0.4952
,
0.3799
,
0.0630
,
-
0.3532
,
0.0023
,
-
0.0592
,
0.4267
,
0.2382
,
-
0.0784
,
-
0.0032
,
-
0.2476
,
-
0.0206
,
-
0.4963
,
0.4837
,
0.0827
,
0.0123
,
-
0.1203
,
-
0.0279
,
-
0.0049
,
0.4721
,
-
0.3564
,
-
0.1286
,
0.4090
,
-
0.0504
,
0.0575
,
-
0.2138
,
0.1071
,
0.1976
,
-
0.0758
,
0.0139
,
-
0.0761
,
0.3991
,
-
0.2965
,
-
0.4845
,
-
0.1496
,
0.3285
};
std
::
vector
<
float
>
r_data
{
0.1237
,
0.1229
,
-
0.0766
,
-
0.1144
,
-
0.1186
,
0.2922
,
0.2478
,
0.3159
,
-
0.0522
,
0.1685
,
-
0.4621
,
0.1728
,
0.0670
,
-
0.2458
,
-
0.3835
,
-
0.4589
,
-
0.3109
,
0.4908
,
-
0.0133
,
-
0.1858
,
-
0.0590
,
-
0.0347
,
-
0.2353
,
-
0.0671
,
-
0.3812
,
-
0.0004
,
-
0.1432
,
0.2406
,
0.1033
,
-
0.0265
,
-
0.3902
,
0.0755
,
0.3733
,
0.4383
,
-
0.3140
,
0.2537
,
-
0.1818
,
-
0.4127
,
0.3506
,
0.2562
,
0.2926
,
0.1620
,
-
0.4849
,
-
0.4861
,
0.4426
,
0.2106
,
-
0.0005
,
0.4418
,
-
0.2926
,
-
0.3100
,
0.1500
,
-
0.0362
,
-
0.3801
,
-
0.0065
,
-
0.0631
,
0.1277
,
0.2315
,
0.4087
,
-
0.3963
,
-
0.4161
,
-
0.2169
,
-
0.1344
,
0.3468
,
-
0.2260
};
std
::
vector
<
float
>
bias_data
{
0.0088
,
0.1183
,
0.1642
,
-
0.2631
,
-
0.1330
,
-
0.4008
,
0.3881
,
-
0.4407
,
-
0.2760
,
0.1274
,
-
0.0083
,
-
0.2885
,
0.3949
,
-
0.0182
,
0.4445
,
0.3477
,
0.2266
,
0.3423
,
-
0.0674
,
-
0.4067
,
0.0807
,
0.1109
,
-
0.2036
,
0.1782
,
-
0.2467
,
-
0.0730
,
-
0.4216
,
0.0316
,
-
0.3025
,
0.3637
,
-
0.3181
,
-
0.4655
};
std
::
vector
<
float
>
input_data
{
-
0.5516
,
0.2391
,
-
1.6951
,
-
0.4313
,
-
0.9730
,
-
0.2005
,
2.3930
,
-
0.5221
,
-
0.1331
,
-
0.0910
,
1.2122
,
-
0.1952
,
0.4661
,
0.6494
,
2.1332
,
-
1.0972
,
0.9816
,
0.1122
,
0.3577
,
1.3508
,
-
0.5366
,
1.7449
,
0.5483
,
-
0.0701
,
-
0.4100
,
-
2.2344
,
0.3685
,
0.4583
,
2.3794
,
1.0372
,
-
0.8887
,
0.7892
,
-
0.4012
,
-
0.2818
,
-
2.3374
,
1.5310
};
std
::
vector
<
float
>
ih_data
{
1.9104
,
-
1.9004
,
0.3337
,
0.5741
,
0.5671
,
0.0458
,
0.4514
,
-
0.8968
,
-
0.9201
,
0.1962
,
0.5771
,
-
0.5332
};
std
::
vector
<
float
>
ic_data
{
0.9569
,
-
0.5981
,
1.1312
,
1.0945
,
1.1055
,
-
0.1212
,
-
0.9097
,
0.7831
,
-
1.6991
,
-
1.9498
,
-
1.2567
,
-
0.4114
};
std
::
vector
<
float
>
pph_data
{
1.84369764
,
0.68413646
,
-
0.44892886
,
-
1.50904413
,
0.3860796
,
-
0.52186625
,
1.08474445
,
-
1.80867321
,
1.32594529
,
0.4336262
,
-
0.83699064
,
0.49162736
};
float
clip
=
0.0
f
;
migraphx
::
shape
in_shape
{
migraphx
::
shape
::
float_type
,
{
seq_len
,
batch_size
,
input_size
}};
migraphx
::
shape
ih_shape
{
migraphx
::
shape
::
float_type
,
{
num_dirct
,
batch_size
,
hidden_size
}};
migraphx
::
shape
ic_shape
{
migraphx
::
shape
::
float_type
,
{
num_dirct
,
batch_size
,
hidden_size
}};
migraphx
::
shape
w_shape
{
migraphx
::
shape
::
float_type
,
{
num_dirct
,
4
*
hidden_size
,
input_size
}};
migraphx
::
shape
r_shape
{
migraphx
::
shape
::
float_type
,
{
num_dirct
,
4
*
hidden_size
,
hidden_size
}};
migraphx
::
shape
b_shape
{
migraphx
::
shape
::
float_type
,
{
num_dirct
,
8
*
hidden_size
}};
migraphx
::
shape
pph_shape
{
migraphx
::
shape
::
float_type
,
{
num_dirct
,
3
*
hidden_size
}};
migraphx
::
program
p
;
auto
*
mm
=
p
.
get_main_module
();
auto
seq
=
mm
->
add_literal
(
migraphx
::
literal
{
in_shape
,
input_data
});
auto
w
=
mm
->
add_literal
(
migraphx
::
literal
{
w_shape
,
w_data
});
auto
r
=
mm
->
add_literal
(
migraphx
::
literal
{
r_shape
,
r_data
});
auto
bias
=
mm
->
add_literal
(
migraphx
::
literal
{
b_shape
,
bias_data
});
auto
ih
=
mm
->
add_literal
(
migraphx
::
literal
{
ih_shape
,
ih_data
});
auto
ic
=
mm
->
add_literal
(
migraphx
::
literal
{
ic_shape
,
ic_data
});
auto
und
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"undefined"
));
auto
seq_half
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"convert"
,
{{
"target_type"
,
migraphx
::
shape
::
half_type
}}),
seq
);
auto
w_half
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"convert"
,
{{
"target_type"
,
migraphx
::
shape
::
half_type
}}),
w
);
auto
r_half
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"convert"
,
{{
"target_type"
,
migraphx
::
shape
::
half_type
}}),
r
);
auto
bias_half
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"convert"
,
{{
"target_type"
,
migraphx
::
shape
::
half_type
}}),
bias
);
auto
ih_half
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"convert"
,
{{
"target_type"
,
migraphx
::
shape
::
half_type
}}),
ih
);
auto
ic_half
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"convert"
,
{{
"target_type"
,
migraphx
::
shape
::
half_type
}}),
ic
);
auto
und_half
=
mm
->
add_instruction
(
migraphx
::
make_op
(
"convert"
,
{{
"target_type"
,
migraphx
::
shape
::
half_type
}}),
und
);
mm
->
add_instruction
(
migraphx
::
make_op
(
"lstm"
,
{{
"hidden_size"
,
hidden_size
},
{
"actv_func"
,
migraphx
::
to_value
(
std
::
vector
<
migraphx
::
operation
>
{
migraphx
::
make_op
(
"sigmoid"
),
migraphx
::
make_op
(
"tanh"
),
migraphx
::
make_op
(
"tanh"
)})},
{
"direction"
,
migraphx
::
to_value
(
migraphx
::
op
::
rnn_direction
::
forward
)},
{
"clip"
,
clip
},
{
"input_forget"
,
0
}}),
seq_half
,
w_half
,
r_half
,
bias_half
,
und_half
,
ih_half
,
ic_half
,
und_half
);
p
.
compile
(
migraphx
::
ref
::
target
{});
auto
hs_concat
=
p
.
eval
({}).
back
();
std
::
vector
<
float
>
hs_data
;
hs_concat
.
visit
([
&
](
auto
output
)
{
hs_data
.
assign
(
output
.
begin
(),
output
.
end
());
});
std
::
vector
<
float
>
hs_data_gold
{
0.0417273
,
-
0.272355
,
0.206765
,
0.223879
,
0.138193
,
-
0.0322939
,
-
0.0891815
,
0.15773
,
0.19139
,
-
0.127708
,
-
0.409371
,
-
0.136186
,
0.0742487
,
-
0.0800085
,
0.259897
,
0.0670196
,
0.184266
,
0.0610048
,
-
0.138041
,
0.0963885
,
0.0213755
,
-
0.146027
,
-
0.0324509
,
-
0.0620429
,
-
0.00532985
,
0.0440265
,
0.29654
,
-
0.0463156
,
0.0498799
,
0.125772
,
0.0533032
,
-
0.131413
,
0.0988431
,
-
0.018085
,
-
0.159434
,
0.030266
,
-
0.0847427
,
0.0874114
,
0.304256
,
-
0.0585745
,
-
0.0223018
,
0.131113
,
0.135643
,
-
0.0566208
,
0.142701
,
0.0342236
,
-
0.198664
,
0.0702607
};
EXPECT
(
migraphx
::
verify_range
(
hs_data
,
hs_data_gold
,
5e4
));
}
int
main
(
int
argc
,
const
char
*
argv
[])
{
test
::
run
(
argc
,
argv
);
}
test/shape_test.cpp
View file @
913ae362
...
...
@@ -160,6 +160,20 @@ TEST_CASE(test_shape_dynamic_compares)
EXPECT
(
ss0
.
str
()
!=
ss3
.
str
());
}
TEST_CASE
(
dynamic_dimension_size_t_compares
)
{
using
migraphx
::
shape
;
auto
a
=
shape
::
dynamic_dimension
{
2
,
2
,
2
};
EXPECT
(
a
==
2
);
EXPECT
(
a
!=
3
);
EXPECT
(
static_cast
<
std
::
size_t
>
(
2
)
==
a
);
EXPECT
(
static_cast
<
std
::
size_t
>
(
3
)
!=
a
);
auto
b
=
shape
::
dynamic_dimension
{
2
,
4
,
0
};
EXPECT
(
b
!=
2
);
EXPECT
(
static_cast
<
std
::
size_t
>
(
2
)
!=
b
);
}
TEST_CASE
(
test_shape_dynamic_errors
)
{
using
migraphx
::
shape
;
...
...
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