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submodule
ngraph
Commits
8b123ada
Commit
8b123ada
authored
May 18, 2019
by
Robert Kimball
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read/write test
parent
99a1e245
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10 deletions
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async.cpp
test/async.cpp
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test/async.cpp
View file @
8b123ada
...
@@ -44,7 +44,7 @@ TEST(async, execute)
...
@@ -44,7 +44,7 @@ TEST(async, execute)
auto
handle
=
backend
->
compile
(
f
);
auto
handle
=
backend
->
compile
(
f
);
auto
future
=
handle
->
begin_execute
({
r
},
{
a
,
b
});
auto
future
=
handle
->
begin_execute
({
r
},
{
a
,
b
});
ASSERT_TRUE
(
future
.
valid
());
ASSERT_TRUE
(
future
.
valid
());
bool
rc
=
future
.
get
();
future
.
get
();
for
(
float
x
:
result_data
)
for
(
float
x
:
result_data
)
{
{
...
@@ -52,7 +52,7 @@ TEST(async, execute)
...
@@ -52,7 +52,7 @@ TEST(async, execute)
}
}
}
}
TEST
(
async
,
tensor_write
)
TEST
(
async
,
tensor_
read_
write
)
{
{
Shape
shape
{
100000
};
Shape
shape
{
100000
};
auto
A
=
make_shared
<
op
::
Parameter
>
(
element
::
f32
,
shape
);
auto
A
=
make_shared
<
op
::
Parameter
>
(
element
::
f32
,
shape
);
...
@@ -63,39 +63,40 @@ TEST(async, tensor_write)
...
@@ -63,39 +63,40 @@ TEST(async, tensor_write)
auto
handle
=
backend
->
compile
(
f
);
auto
handle
=
backend
->
compile
(
f
);
vector
<
float
>
data
(
shape_size
(
shape
),
2
);
vector
<
float
>
data
(
shape_size
(
shape
),
2
);
vector
<
float
>
result_data
(
shape_size
(
shape
),
0
);
vector
<
float
>
data_r
(
shape_size
(
shape
),
0
);
// Create some tensors for input/output
// Create some tensors for input/output
shared_ptr
<
runtime
::
Tensor
>
a
=
backend
->
create_tensor
(
element
::
f32
,
shape
);
shared_ptr
<
runtime
::
Tensor
>
a
=
backend
->
create_tensor
(
element
::
f32
,
shape
);
shared_ptr
<
runtime
::
Tensor
>
b
=
backend
->
create_tensor
(
element
::
f32
,
shape
);
shared_ptr
<
runtime
::
Tensor
>
b
=
backend
->
create_tensor
(
element
::
f32
,
shape
);
shared_ptr
<
runtime
::
Tensor
>
r
=
backend
->
create_tensor
(
element
::
f32
,
shape
,
result_data
.
data
()
);
shared_ptr
<
runtime
::
Tensor
>
r
=
backend
->
create_tensor
(
element
::
f32
,
shape
);
auto
future_a
=
a
->
begin_write
(
data
.
data
(),
data
.
size
()
*
sizeof
(
float
));
auto
future_a
=
a
->
begin_write
(
data
.
data
(),
data
.
size
()
*
sizeof
(
float
));
auto
future_b
=
b
->
begin_write
(
data
.
data
(),
data
.
size
()
*
sizeof
(
float
));
auto
future_b
=
b
->
begin_write
(
data
.
data
(),
data
.
size
()
*
sizeof
(
float
));
auto
future_r
=
r
->
begin_read
(
data_r
.
data
(),
data_r
.
size
()
*
sizeof
(
float
));
ASSERT_TRUE
(
future_a
.
valid
());
ASSERT_TRUE
(
future_a
.
valid
());
ASSERT_TRUE
(
future_b
.
valid
());
ASSERT_TRUE
(
future_b
.
valid
());
ASSERT_TRUE
(
future_r
.
valid
());
chrono
::
milliseconds
ten_ms
(
10
);
chrono
::
milliseconds
ten_ms
(
10
);
EXPECT_EQ
(
future_a
.
wait_for
(
ten_ms
),
future_status
::
timeout
);
EXPECT_EQ
(
future_a
.
wait_for
(
ten_ms
),
future_status
::
timeout
);
EXPECT_EQ
(
future_b
.
wait_for
(
ten_ms
),
future_status
::
timeout
);
EXPECT_EQ
(
future_b
.
wait_for
(
ten_ms
),
future_status
::
timeout
);
EXPECT_EQ
(
future_r
.
wait_for
(
ten_ms
),
future_status
::
timeout
);
this_thread
::
sleep_for
(
chrono
::
milliseconds
(
500
));
this_thread
::
sleep_for
(
chrono
::
milliseconds
(
500
));
EXPECT_EQ
(
future_a
.
wait_for
(
ten_ms
),
future_status
::
timeout
);
EXPECT_EQ
(
future_a
.
wait_for
(
ten_ms
),
future_status
::
timeout
);
EXPECT_EQ
(
future_b
.
wait_for
(
ten_ms
),
future_status
::
timeout
);
EXPECT_EQ
(
future_b
.
wait_for
(
ten_ms
),
future_status
::
timeout
);
EXPECT_EQ
(
future_r
.
wait_for
(
ten_ms
),
future_status
::
timeout
);
auto
future
=
handle
->
begin_execute
({
r
},
{
a
,
b
});
auto
future
=
handle
->
begin_execute
({
r
},
{
a
,
b
});
bool
rc
=
future
.
get
();
future
.
get
();
EXPECT_EQ
(
future_a
.
wait_for
(
ten_ms
),
future_status
::
ready
);
EXPECT_EQ
(
future_a
.
wait_for
(
ten_ms
),
future_status
::
ready
);
EXPECT_EQ
(
future_b
.
wait_for
(
ten_ms
),
future_status
::
ready
);
EXPECT_EQ
(
future_b
.
wait_for
(
ten_ms
),
future_status
::
ready
);
EXPECT_EQ
(
future_r
.
wait_for
(
ten_ms
),
future_status
::
ready
);
for
(
float
x
:
result_data
)
for
(
float
x
:
data_r
)
{
{
ASSERT_EQ
(
x
,
4
);
ASSERT_EQ
(
x
,
4
);
}
}
}
}
TEST
(
async
,
tensor_read
)
{
}
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