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gaoqiong
composable_kernel
Commits
cc9d2a84
Commit
cc9d2a84
authored
Nov 01, 2023
by
Jing Zhang
Browse files
testing instances for skinny cases
parent
a09f0171
Changes
4
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Showing
4 changed files
with
139 additions
and
58 deletions
+139
-58
include/ck/tensor_operation/gpu/element/unary_element_wise_operation.hpp
...or_operation/gpu/element/unary_element_wise_operation.hpp
+44
-0
library/src/tensor_operation_instance/gpu/gemm_splitk/device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instance.cpp
.../device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instance.cpp
+28
-9
library/src/tensor_operation_instance/gpu/gemm_splitk/device_gemm_xdl_splitk_f16_fp8_f16_mk_kn_mn_instance.cpp
.../device_gemm_xdl_splitk_f16_fp8_f16_mk_kn_mn_instance.cpp
+28
-10
library/src/tensor_operation_instance/gpu/gemm_splitk/device_gemm_xdl_splitk_f16_fp8_f16_mk_nk_mn_instance.cpp
.../device_gemm_xdl_splitk_f16_fp8_f16_mk_nk_mn_instance.cpp
+39
-39
No files found.
include/ck/tensor_operation/gpu/element/unary_element_wise_operation.hpp
View file @
cc9d2a84
...
@@ -21,6 +21,50 @@ struct PassThrough
...
@@ -21,6 +21,50 @@ struct PassThrough
template
<
typename
Y
,
typename
X
>
template
<
typename
Y
,
typename
X
>
__host__
__device__
void
operator
()(
Y
&
y
,
const
X
&
x
)
const
;
__host__
__device__
void
operator
()(
Y
&
y
,
const
X
&
x
)
const
;
__host__
__device__
constexpr
void
operator
()(
ck
::
f8x2_t
&
y
,
const
ck
::
half2_t
&
x
)
const
{
uint16_t
t
=
ck
::
bit_cast
<
uint32_t
>
(
x
);
y
=
ck
::
bit_cast
<
ck
::
f8x2_t
>
(
t
);
}
__host__
__device__
constexpr
void
operator
()(
ck
::
half2_t
&
y
,
const
ck
::
f8x2_t
&
x
)
const
{
int32_t
t
=
ck
::
bit_cast
<
uint16_t
>
(
x
);
y
=
ck
::
bit_cast
<
ck
::
half2_t
>
(
t
);
}
__host__
__device__
constexpr
void
operator
()(
ck
::
half2_t
&
y
,
const
ck
::
half2_t
&
x
)
const
{
y
=
x
;
}
__host__
__device__
constexpr
void
operator
()(
ck
::
f8x2_t
&
y
,
const
ck
::
f8x2_t
&
x
)
const
{
y
=
x
;
}
__host__
__device__
constexpr
void
operator
()(
ck
::
float2_t
&
y
,
const
ck
::
float2_t
&
x
)
const
{
y
=
x
;
}
__host__
__device__
constexpr
void
operator
()(
ck
::
int8x2_t
&
y
,
const
ck
::
int8x2_t
&
x
)
const
{
y
=
x
;
}
__host__
__device__
constexpr
void
operator
()(
ck
::
bhalf2_t
&
y
,
const
ck
::
bhalf2_t
&
x
)
const
{
y
=
x
;
}
__host__
__device__
constexpr
void
operator
()(
ck
::
double2_t
&
y
,
const
ck
::
double2_t
&
x
)
const
{
y
=
x
;
}
constexpr
const
static
bool
is_pack2_invocable
=
true
;
template
<
>
template
<
>
__host__
__device__
void
operator
()
<
double
,
double
>
(
double
&
y
,
const
double
&
x
)
const
__host__
__device__
void
operator
()
<
double
,
double
>
(
double
&
y
,
const
double
&
x
)
const
{
{
...
...
library/src/tensor_operation_instance/gpu/gemm_splitk/device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instance.cpp
View file @
cc9d2a84
...
@@ -26,8 +26,9 @@ using S = ck::Sequence<Is...>;
...
@@ -26,8 +26,9 @@ using S = ck::Sequence<Is...>;
using
PassThrough
=
ck
::
tensor_operation
::
element_wise
::
PassThrough
;
using
PassThrough
=
ck
::
tensor_operation
::
element_wise
::
PassThrough
;
static
constexpr
auto
GemmDefault
=
ck
::
tensor_operation
::
device
::
GemmSpecialization
::
Default
;
// static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
static
constexpr
auto
GemmMNPadding
=
ck
::
tensor_operation
::
device
::
GemmSpecialization
::
MNPadding
;
// static constexpr auto GemmMNPadding =
// ck::tensor_operation::device::GemmSpecialization::MNPadding;
static
constexpr
auto
GemmMNKPadding
=
ck
::
tensor_operation
::
device
::
GemmSpecialization
::
MNKPadding
;
static
constexpr
auto
GemmMNKPadding
=
ck
::
tensor_operation
::
device
::
GemmSpecialization
::
MNKPadding
;
using
device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_generic_instances
=
std
::
tuple
<
using
device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_generic_instances
=
std
::
tuple
<
...
@@ -110,22 +111,40 @@ using device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instances = std::tuple<
...
@@ -110,22 +111,40 @@ using device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instances = std::tuple<
// clang-format on
// clang-format on
>
;
>
;
template
<
ck
::
tensor_operation
::
device
::
GemmSpecialization
GemmSpec
>
using
device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_irregular_instances
=
std
::
tuple
<
// clang-format off
//#########################|AData| BData| CData| AccData| ALayout| BLayout| CLayout| A| B| C| GEMM| Block| MPer| NPer| K0Per| K1| MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer|
//#########################| Type| Type| Type| Type| | | | Elementwise| Elementwise| Elementwise|Specialization| Size| Block| Block| Block| | XDL| XDL| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave| _MBlock_MXdlPerWave_MWaveMPerXdl| ScalarPerVector|
//#########################| | | | | | | | Operation| Operation| Operation| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NXdlPerWave_NWaveNPerXdl| _NWaveNPerXdl|
//#########################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
DeviceGemmXdlSplitKCShuffle
<
F16
,
F16
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmSpec
,
128
,
32
,
128
,
4
,
8
,
32
,
32
,
1
,
2
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
true
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
4
,
8
,
true
,
1
,
1
,
S
<
1
,
16
,
1
,
8
>
,
4
,
F16
,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
DeviceGemmXdlSplitKCShuffle
<
F16
,
F16
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmSpec
,
128
,
16
,
128
,
4
,
8
,
16
,
16
,
1
,
4
,
S
<
1
,
4
,
16
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
true
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
4
,
8
,
true
,
1
,
1
,
S
<
1
,
16
,
1
,
8
>
,
4
,
F16
,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
DeviceGemmXdlSplitKCShuffle
<
F16
,
F16
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmSpec
,
128
,
16
,
256
,
4
,
8
,
16
,
16
,
1
,
8
,
S
<
1
,
4
,
16
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
true
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
8
,
8
,
true
,
1
,
1
,
S
<
1
,
16
,
1
,
8
>
,
4
,
F16
,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
DeviceGemmXdlSplitKCShuffle
<
F16
,
F16
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmSpec
,
256
,
16
,
256
,
4
,
8
,
16
,
16
,
1
,
4
,
S
<
1
,
4
,
16
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
true
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
4
,
8
,
true
,
1
,
1
,
S
<
1
,
16
,
1
,
8
>
,
4
,
F16
,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
// clang-format on
>
;
void
add_device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instances
(
void
add_device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instances
(
std
::
vector
<
std
::
unique_ptr
<
std
::
vector
<
std
::
unique_ptr
<
DeviceGemmSplitK
<
Row
,
Row
,
Row
,
F16
,
F16
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
>>>&
DeviceGemmSplitK
<
Row
,
Row
,
Row
,
F16
,
F16
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
>>>&
instances
)
instances
)
{
{
add_device_operation_instances
(
instances
,
//
add_device_operation_instances(instances,
device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_generic_instances
{});
//
device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_generic_instances{});
add_device_operation_instances
(
//
add_device_operation_instances(
instances
,
device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instances
<
GemmDefault
>
{});
//
instances, device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instances<GemmDefault>{});
add_device_operation_instances
(
// add_device_operation_instances(
instances
,
device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instances
<
GemmMNPadding
>
{});
// instances, device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instances<GemmMNPadding>{});
// add_device_operation_instances(
// instances, device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instances<GemmMNKPadding>{});
add_device_operation_instances
(
add_device_operation_instances
(
instances
,
device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instances
<
GemmMNKPadding
>
{});
instances
,
device_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_irregular_instances
<
GemmMNKPadding
>
{});
}
}
}
// namespace instance
}
// namespace instance
...
...
library/src/tensor_operation_instance/gpu/gemm_splitk/device_gemm_xdl_splitk_f16_fp8_f16_mk_kn_mn_instance.cpp
View file @
cc9d2a84
...
@@ -27,7 +27,7 @@ using S = ck::Sequence<Is...>;
...
@@ -27,7 +27,7 @@ using S = ck::Sequence<Is...>;
using
PassThrough
=
ck
::
tensor_operation
::
element_wise
::
PassThrough
;
using
PassThrough
=
ck
::
tensor_operation
::
element_wise
::
PassThrough
;
static
constexpr
auto
GemmDefault
=
ck
::
tensor_operation
::
device
::
GemmSpecialization
::
Default
;
//
static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
static
constexpr
auto
GemmMNPadding
=
ck
::
tensor_operation
::
device
::
GemmSpecialization
::
MNPadding
;
static
constexpr
auto
GemmMNPadding
=
ck
::
tensor_operation
::
device
::
GemmSpecialization
::
MNPadding
;
static
constexpr
auto
GemmMNKPadding
=
ck
::
tensor_operation
::
device
::
GemmSpecialization
::
MNKPadding
;
static
constexpr
auto
GemmMNKPadding
=
ck
::
tensor_operation
::
device
::
GemmSpecialization
::
MNKPadding
;
...
@@ -88,8 +88,7 @@ using device_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_instances = std::tuple<
...
@@ -88,8 +88,7 @@ using device_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_instances = std::tuple<
DeviceGemmXdlSplitKCShuffle
<
F16
,
F8
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmSpec
,
128
,
32
,
128
,
4
,
8
,
32
,
32
,
1
,
2
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
true
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
4
,
8
,
true
,
1
,
1
,
S
<
1
,
16
,
1
,
8
>
,
8
,
F16
,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
DeviceGemmXdlSplitKCShuffle
<
F16
,
F8
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmSpec
,
128
,
32
,
128
,
4
,
8
,
32
,
32
,
1
,
2
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
true
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
4
,
8
,
true
,
1
,
1
,
S
<
1
,
16
,
1
,
8
>
,
8
,
F16
,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
DeviceGemmXdlSplitKCShuffle
<
F16
,
F8
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmSpec
,
128
,
128
,
32
,
4
,
8
,
32
,
32
,
2
,
1
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
true
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
1
,
8
,
true
,
1
,
1
,
S
<
1
,
32
,
1
,
4
>
,
8
,
F16
,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
DeviceGemmXdlSplitKCShuffle
<
F16
,
F8
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmSpec
,
128
,
128
,
32
,
4
,
8
,
32
,
32
,
2
,
1
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
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1
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,
1
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,
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1
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32
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>
,
8
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F16
,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
DeviceGemmXdlSplitKCShuffle
<
F16
,
F8
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
PassThrough
,
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GemmSpec
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0
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,
1
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1
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16
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1
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4
>
,
8
,
F16
,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
DeviceGemmXdlSplitKCShuffle
<
F16
,
F8
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
PassThrough
,
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,
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0
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1
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>
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8
,
F16
,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
DeviceGemmXdlSplitKCShuffle
<
F16
,
F8
,
F16
,
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,
Row
,
Row
,
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PassThrough
,
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0
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1
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<
1
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>
,
4
,
F16
,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
DeviceGemmXdlSplitKCShuffle
<
F16
,
F8
,
F16
,
F32
,
Row
,
Row
,
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PassThrough
,
PassThrough
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8
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true
,
1
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1
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1
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,
1
,
4
>
,
4
,
F16
,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
//PipelineVersion::v2
//PipelineVersion::v2
DeviceGemmXdlSplitKCShuffle
<
F16
,
F8
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
PassThrough
,
PassThrough
,
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3
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8
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8
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true
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1
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,
1
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S
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0
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1
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2
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1
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2
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,
1
,
1
,
S
<
1
,
32
,
1
,
8
>
,
8
,
F16
,
PipelineVersion
::
v2
>
,
DeviceGemmXdlSplitKCShuffle
<
F16
,
F8
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmSpec
,
256
,
256
,
128
,
4
,
8
,
32
,
32
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4
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2
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>
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8
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PipelineVersion
::
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>
,
...
@@ -110,22 +109,41 @@ using device_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_instances = std::tuple<
...
@@ -110,22 +109,41 @@ using device_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_instances = std::tuple<
DeviceGemmXdlSplitKCShuffle
<
F16
,
F8
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmSpec
,
128
,
128
,
32
,
4
,
8
,
32
,
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,
2
,
1
,
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<
1
,
4
,
32
,
1
>
,
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<
0
,
2
,
1
,
3
>
,
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<
0
,
2
,
1
,
3
>
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3
,
8
,
8
,
true
,
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<
1
,
4
,
32
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
1
,
8
,
true
,
1
,
1
,
S
<
1
,
32
,
1
,
4
>
,
8
,
F16
,
PipelineVersion
::
v2
>
DeviceGemmXdlSplitKCShuffle
<
F16
,
F8
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmSpec
,
128
,
128
,
32
,
4
,
8
,
32
,
32
,
2
,
1
,
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<
1
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4
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32
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,
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<
0
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2
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,
3
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<
0
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2
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1
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3
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3
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8
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8
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true
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1
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4
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32
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0
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,
8
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,
1
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1
,
S
<
1
,
32
,
1
,
4
>
,
8
,
F16
,
PipelineVersion
::
v2
>
// clang-format on
// clang-format on
>
;
>
;
template
<
ck
::
tensor_operation
::
device
::
GemmSpecialization
GemmSpec
>
using
device_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_irregular_instances
=
std
::
tuple
<
// clang-format off
//#########################|AData| BData| CData| AccData| ALayout| BLayout| CLayout| A| B| C| GEMM| Block| MPer| NPer| K0Per| K1| MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer|
//#########################| Type| Type| Type| Type| | | | Elementwise| Elementwise| Elementwise|Specialization| Size| Block| Block| Block| | XDL| XDL| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave| _MBlock_MXdlPerWave_MWaveMPerXdl| ScalarPerVector|
//#########################| | | | | | | | Operation| Operation| Operation| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NXdlPerWave_NWaveNPerXdl| _NWaveNPerXdl|
//#########################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
DeviceGemmXdlSplitKCShuffle
<
F16
,
F8
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
PassThrough
,
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,
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,
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4
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32
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1
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0
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1
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2
>
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<
0
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1
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3
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2
>
,
2
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8
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true
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1
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1
,
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<
1
,
16
,
1
,
8
>
,
4
,
F16
,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
DeviceGemmXdlSplitKCShuffle
<
F16
,
F8
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
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,
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,
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1
,
8
>
,
4
,
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,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
DeviceGemmXdlSplitKCShuffle
<
F16
,
F8
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
PassThrough
,
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,
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,
8
>
,
4
,
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,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
DeviceGemmXdlSplitKCShuffle
<
F16
,
F8
,
F16
,
F32
,
Row
,
Row
,
Row
,
PassThrough
,
PassThrough
,
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,
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,
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,
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,
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,
8
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16
,
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1
,
4
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<
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4
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>
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3
,
8
,
8
,
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,
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<
1
,
4
,
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,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
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1
,
3
,
2
>
,
2
,
4
,
8
,
true
,
1
,
1
,
S
<
1
,
16
,
1
,
8
>
,
4
,
F16
,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
// clang-format on
>
;
void
add_device_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_instances
(
void
add_device_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_instances
(
std
::
vector
<
std
::
unique_ptr
<
std
::
vector
<
std
::
unique_ptr
<
DeviceGemmSplitK
<
Row
,
Row
,
Row
,
F16
,
F8
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
>>>&
DeviceGemmSplitK
<
Row
,
Row
,
Row
,
F16
,
F8
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
>>>&
instances
)
instances
)
{
{
add_device_operation_instances
(
instances
,
//
add_device_operation_instances(instances,
device_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_generic_instances
{});
//
device_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_generic_instances{});
add_device_operation_instances
(
//
add_device_operation_instances(
instances
,
device_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_instances
<
GemmDefault
>
{});
//
instances, device_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_instances<GemmDefault>{});
add_device_operation_instances
(
// add_device_operation_instances(
instances
,
device_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_instances
<
GemmMNPadding
>
{});
// instances, device_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_instances<GemmMNPadding>{});
// add_device_operation_instances(
// instances, device_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_instances<GemmMNKPadding>{});
add_device_operation_instances
(
add_device_operation_instances
(
instances
,
device_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_instances
<
GemmMNKPadding
>
{});
instances
,
device_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_irregular_instances
<
GemmMNKPadding
>
{});
}
}
}
// namespace instance
}
// namespace instance
...
...
library/src/tensor_operation_instance/gpu/gemm_splitk/device_gemm_xdl_splitk_f16_fp8_f16_mk_nk_mn_instance.cpp
View file @
cc9d2a84
...
@@ -51,49 +51,49 @@ using device_gemm_xdl_splitk_f16_f8_f16_mk_nk_mn_instances = std::tuple<
...
@@ -51,49 +51,49 @@ using device_gemm_xdl_splitk_f16_f8_f16_mk_nk_mn_instances = std::tuple<
//#########################| | | | | | | | Operation| Operation| Operation| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NXdlPerWave_NWaveNPerXdl| _NWaveNPerXdl|
//#########################| | | | | | | | Operation| Operation| Operation| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NXdlPerWave_NWaveNPerXdl| _NWaveNPerXdl|
//#########################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
//#########################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
//PipelineVersion::v1
//PipelineVersion::v1
DeviceGemmXdlSplitKCShuffle
<
F16
,
F8
,
F16
,
F32
,
Row
,
Col
,
Row
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmSpec
,
256
,
256
,
128
,
4
,
8
,
32
,
32
,
4
,
2
,
S
<
1
,
4
,
64
,
1
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// clang-format on
// clang-format on
>
;
>
;
...
...
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