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submodule
ngraph
Commits
2177cf5b
Commit
2177cf5b
authored
May 25, 2018
by
Fenglei
Committed by
Robert Kimball
May 25, 2018
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Plain Diff
fix bug, add another test to catch the error, enable more tests (#1048)
parent
1d08f073
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3 changed files
with
23 additions
and
6 deletions
+23
-6
gpu_emitter.cpp
src/ngraph/runtime/gpu/gpu_emitter.cpp
+1
-1
unit_test.manifest
src/ngraph/runtime/gpu/unit_test.manifest
+0
-5
backend_test.in.cpp
test/backend_test.in.cpp
+22
-0
No files found.
src/ngraph/runtime/gpu/gpu_emitter.cpp
View file @
2177cf5b
...
...
@@ -508,7 +508,7 @@ CUDNN_SAFE_CALL(cudnnSetOpTensorDescriptor(opTensorDesc,
"CUBLAS_POINTER_MODE_HOST));
\n
"
;
writer
<<
"CUBLAS_SAFE_CALL(cublasSgemv("
<<
"*ctx->cublas_handle,"
<<
"CUBLAS_OP_T,"
<<
arg0_shape
[
0
]
<<
","
<<
arg0_shape
[
1
]
<<
","
<<
"CUBLAS_OP_T,"
<<
arg0_shape
[
1
]
<<
","
<<
arg0_shape
[
0
]
<<
","
<<
"&alpha,"
// Alpha
<<
args
[
0
].
get_name
()
<<
","
<<
arg0_shape
[
1
]
<<
","
<<
args
[
1
].
get_name
()
<<
","
...
...
src/ngraph/runtime/gpu/unit_test.manifest
View file @
2177cf5b
...
...
@@ -7,7 +7,6 @@ backwards_concat_axis_0
backwards_concat_axis_1
backwards_concat_vector
backwards_divide
backwards_dot_tensor_vector
backwards_dot_tensor2_tensor2
backwards_dot_tensor3_tensor3
backwards_log
...
...
@@ -67,11 +66,7 @@ convolution_4d_4items_strided_dilated_padded_same
divide_adjoint_stability
divide_by_zero_float32
divide_by_zero_int32
dot_3d_multi_axis
dot_3d_one_axis_arbitrary
dot_4d_5d_multi_axis
dot_4d_5d_multi_axis_big_fp64_VERY_SLOW
dot_4d_5d_multi_axis_more
dot_matrix_vector_int64
function_call
logical_and
...
...
test/backend_test.in.cpp
View file @
2177cf5b
...
...
@@ -1156,6 +1156,28 @@ NGRAPH_TEST(${BACKEND_NAME}, dot_scalar_scalar)
EXPECT_EQ
((
vector
<
float
>
{
48
}),
read_vector
<
float
>
(
result
));
}
NGRAPH_TEST
(
$
{
BACKEND_NAME
},
dot_matrix_vector_4_3
)
{
Shape
shape_a
{
4
,
3
};
Shape
shape_b
{
3
};
auto
A
=
make_shared
<
op
::
Parameter
>
(
element
::
f32
,
shape_a
);
auto
B
=
make_shared
<
op
::
Parameter
>
(
element
::
f32
,
shape_b
);
auto
f
=
make_shared
<
Function
>
(
make_shared
<
op
::
Dot
>
(
A
,
B
),
op
::
ParameterVector
{
A
,
B
});
Shape
shape_r
{
4
};
auto
backend
=
runtime
::
Backend
::
create
(
"${BACKEND_NAME}"
);
// Create some tensors for input/output
auto
a
=
backend
->
create_tensor
(
element
::
f32
,
shape_a
);
copy_data
(
a
,
vector
<
float
>
{
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
,
9
,
10
,
11
,
12
});
auto
b
=
backend
->
create_tensor
(
element
::
f32
,
shape_b
);
copy_data
(
b
,
vector
<
float
>
{
17
,
18
,
19
});
auto
result
=
backend
->
create_tensor
(
element
::
f32
,
shape_r
);
backend
->
call
(
f
,
{
result
},
{
a
,
b
});
EXPECT_EQ
((
vector
<
float
>
{
110
,
272
,
434
,
596
}),
read_vector
<
float
>
(
result
));
}
NGRAPH_TEST
(
$
{
BACKEND_NAME
},
dot_matrix_vector
)
{
Shape
shape_a
{
4
,
4
};
...
...
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