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gaoqiong
MIGraphX
Commits
b882177d
"...resnet50_tensorflow.git" did not exist on "78657911f3ec138fe4b11042b35af24f56ec0143"
Commit
b882177d
authored
Jun 28, 2019
by
Shucai Xiao
Browse files
remove an unnecessary file
parent
ca505baf
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src/targets/gpu/include/migraphx/gpu/device/reduce_opers.hpp
src/targets/gpu/include/migraphx/gpu/device/reduce_opers.hpp
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src/targets/gpu/include/migraphx/gpu/device/reduce_opers.hpp
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ca505baf
#ifndef MIGRAPHX_GUARD_RTGLIB_DEVICE_REDUCE_OPERS_HPP
#define MIGRAPHX_GUARD_RTGLIB_DEVICE_REDUCE_OPERS_HPP
#include <migraphx/gpu/hip.hpp>
#include <migraphx/gpu/device/types.hpp>
#include <migraphx/gpu/device/nary.hpp>
namespace
migraphx
{
inline
namespace
MIGRAPHX_INLINE_NS
{
namespace
gpu
{
namespace
device
{
template
<
class
T
>
struct
max_op
{
T
operator
()(
T
x
,
T
y
)
const
{
return
(
x
>
y
)
?
x
:
y
;
}
};
template
<
class
T
>
struct
min_op
{
T
operator
()(
T
x
,
T
y
)
const
{
return
(
x
<
y
)
?
x
:
y
;
}
};
template
<
class
T
>
struct
sum_op
{
T
operator
()(
T
x
,
T
y
)
const
{
return
x
+
y
;
}
};
template
<
class
T
,
class
Op
>
inline
__device__
void
block_reduce
(
T
*
data_ptr
,
Op
op
,
std
::
size_t
block_size
,
std
::
size_t
thr_idx
,
std
::
size_t
item_num
,
std
::
size_t
max_index
)
{
while
(
true
)
{
auto
stride
=
(
item_num
+
1
)
/
2
;
auto
size
=
item_num
/
2
;
for
(
std
::
size_t
i
=
thr_idx
;
i
<
size
;
i
+=
block_size
)
{
data_ptr
[
i
]
=
op
(
data_ptr
[
i
],
data_ptr
[
i
+
stride
]);
}
__syncthreads
();
item_num
=
stride
;
if
(
item_num
==
1
)
break
;
}
if
(
thr_idx
==
0
)
{
data_ptr
[
max_index
]
=
op
(
data_ptr
[
max_index
],
data_ptr
[
0
]);
}
__syncthreads
();
}
}
// namespace device
}
// namespace gpu
}
// namespace MIGRAPHX_INLINE_NS
}
// namespace migraphx
#endif
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