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gaoqiong
composable_kernel
Commits
11279540
Commit
11279540
authored
Nov 08, 2023
by
Astha Rai
Browse files
Merge branch 'transpose_5d' of github.com:ROCmSoftwarePlatform/composable_kernel into transpose_5d
parents
14daa201
33e78b9a
Changes
347
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20 changed files
with
718 additions
and
57 deletions
+718
-57
library/src/tensor_operation_instance/gpu/grouped_conv3d_bwd_weight/xdl/device_grouped_conv3d_bwd_weight_xdl_ndhwgc_gkzyxc_ndhwgk_f32_instance.cpp
...nv3d_bwd_weight_xdl_ndhwgc_gkzyxc_ndhwgk_f32_instance.cpp
+0
-0
library/src/tensor_operation_instance/gpu/grouped_conv3d_fwd/CMakeLists.txt
..._operation_instance/gpu/grouped_conv3d_fwd/CMakeLists.txt
+9
-10
library/src/tensor_operation_instance/gpu/grouped_conv3d_fwd_scaleadd_scaleadd_relu/CMakeLists.txt
.../grouped_conv3d_fwd_scaleadd_scaleadd_relu/CMakeLists.txt
+7
-0
library/src/tensor_operation_instance/gpu/grouped_conv3d_fwd_scaleadd_scaleadd_relu/xdl/device_grouped_conv3d_fwd_xdl_scaleadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_bf16_instance.cpp
...eadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_bf16_instance.cpp
+55
-0
library/src/tensor_operation_instance/gpu/grouped_conv3d_fwd_scaleadd_scaleadd_relu/xdl/device_grouped_conv3d_fwd_xdl_scaleadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_f16_instance.cpp
...leadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_f16_instance.cpp
+55
-0
library/src/tensor_operation_instance/gpu/grouped_conv3d_fwd_scaleadd_scaleadd_relu/xdl/device_grouped_conv3d_fwd_xdl_scaleadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_f32_instance.cpp
...leadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_f32_instance.cpp
+55
-0
library/src/tensor_operation_instance/gpu/grouped_conv3d_fwd_scaleadd_scaleadd_relu/xdl/device_grouped_conv3d_fwd_xdl_scaleadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_int8_instance.cpp
...eadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_int8_instance.cpp
+54
-0
library/src/tensor_operation_instance/gpu/grouped_gemm/CMakeLists.txt
...tensor_operation_instance/gpu/grouped_gemm/CMakeLists.txt
+2
-0
library/src/tensor_operation_instance/gpu/grouped_gemm/device_grouped_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instance.cpp
...grouped_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instance.cpp
+0
-9
library/src/tensor_operation_instance/gpu/grouped_gemm/device_grouped_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_irregular_instance.cpp
...mm_xdl_splitk_f16_f16_f16_mk_kn_mn_irregular_instance.cpp
+21
-6
library/src/tensor_operation_instance/gpu/grouped_gemm/device_grouped_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_irregular_instance.cpp
...emm_xdl_splitk_f16_f8_f16_mk_kn_mn_irregular_instance.cpp
+124
-0
library/src/tensor_operation_instance/gpu/grouped_gemm/device_grouped_gemm_xdl_splitk_f8_f16_f16_mk_kn_mn_irregular_instance.cpp
...emm_xdl_splitk_f8_f16_f16_mk_kn_mn_irregular_instance.cpp
+124
-0
library/src/tensor_operation_instance/gpu/grouped_gemm_fixed_nk/CMakeLists.txt
...eration_instance/gpu/grouped_gemm_fixed_nk/CMakeLists.txt
+6
-14
library/src/tensor_operation_instance/gpu/image_to_column/CMakeLists.txt
...sor_operation_instance/gpu/image_to_column/CMakeLists.txt
+6
-3
library/src/tensor_operation_instance/gpu/image_to_column/device_image_to_column_gndhwc_3d_instance.cpp
...e_to_column/device_image_to_column_gndhwc_3d_instance.cpp
+5
-5
library/src/tensor_operation_instance/gpu/image_to_column/device_image_to_column_gnhwc_2d_instance.cpp
...ge_to_column/device_image_to_column_gnhwc_2d_instance.cpp
+5
-5
library/src/tensor_operation_instance/gpu/image_to_column/device_image_to_column_gnwc_1d_instance.cpp
...age_to_column/device_image_to_column_gnwc_1d_instance.cpp
+5
-5
library/src/tensor_operation_instance/gpu/image_to_column/device_image_to_column_ndhwgc_3d_instance.cpp
...e_to_column/device_image_to_column_ndhwgc_3d_instance.cpp
+62
-0
library/src/tensor_operation_instance/gpu/image_to_column/device_image_to_column_nhwgc_2d_instance.cpp
...ge_to_column/device_image_to_column_nhwgc_2d_instance.cpp
+62
-0
library/src/tensor_operation_instance/gpu/image_to_column/device_image_to_column_nwgc_1d_instance.cpp
...age_to_column/device_image_to_column_nwgc_1d_instance.cpp
+61
-0
No files found.
library/src/tensor_operation_instance/gpu/grouped_conv3d_bwd_weight/device_grouped_conv3d_bwd_weight_xdl_ndhwgc_gkzyxc_ndhwgk_f32_instance.cpp
→
library/src/tensor_operation_instance/gpu/grouped_conv3d_bwd_weight/
xdl/
device_grouped_conv3d_bwd_weight_xdl_ndhwgc_gkzyxc_ndhwgk_f32_instance.cpp
View file @
11279540
File moved
library/src/tensor_operation_instance/gpu/grouped_conv3d_fwd/CMakeLists.txt
View file @
11279540
add_instance_library
(
device_grouped_conv3d_fwd_instance
set
(
GROUPED_CONV3D_FWD
xdl/device_grouped_conv3d_fwd_xdl_gndhwc_gkzyxc_gndhwk_bf16_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_gndhwc_gkzyxc_gndhwk_bf16_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_gndhwc_gkzyxc_gndhwk_f16_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_gndhwc_gkzyxc_gndhwk_f16_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_gndhwc_gkzyxc_gndhwk_f32_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_gndhwc_gkzyxc_gndhwk_f32_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_gndhwc_gkzyxc_gndhwk_int8_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_gndhwc_gkzyxc_gndhwk_int8_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_ndhwgc_gkzyxc_ndhwgk_bf16_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_ndhwgc_gkzyxc_ndhwgk_bf16_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_ndhwgc_gkzyxc_ndhwgk_f16_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_ndhwgc_gkzyxc_ndhwgk_f16_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_ndhwgc_gkzyxc_ndhwgk_f32_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_ndhwgc_gkzyxc_ndhwgk_f32_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_ndhwgc_gkzyxc_ndhwgk_int8_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_ndhwgc_gkzyxc_ndhwgk_int8_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_ndhwgc_gkzyxc_ndhwgk_f16_comp_fp8_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_gndhwc_gkzyxc_gndhwk_f16_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_gndhwc_gkzyxc_gndhwk_f16_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_gndhwc_gkzyxc_gndhwk_i8_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_gndhwc_gkzyxc_gndhwk_i8_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_ndhwgc_gkzyxc_ndhwgk_f16_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_ndhwgc_gkzyxc_ndhwgk_f16_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_ndhwgc_gkzyxc_ndhwgk_i8_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_ndhwgc_gkzyxc_ndhwgk_i8_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_gndhwc_gkzyxc_gndhwk_f16_1x1p0_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_gndhwc_gkzyxc_gndhwk_f16_1x1p0_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_gndhwc_gkzyxc_gndhwk_i8_1x1p0_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_gndhwc_gkzyxc_gndhwk_i8_1x1p0_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_ndhwgc_gkzyxc_ndhwgk_f16_1x1p0_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_ndhwgc_gkzyxc_ndhwgk_f16_1x1p0_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_ndhwgc_gkzyxc_ndhwgk_i8_1x1p0_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_ndhwgc_gkzyxc_ndhwgk_i8_1x1p0_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_gndhwc_gkzyxc_gndhwk_f16_1x1s1p0_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_gndhwc_gkzyxc_gndhwk_f16_1x1s1p0_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_gndhwc_gkzyxc_gndhwk_i8_1x1s1p0_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_gndhwc_gkzyxc_gndhwk_i8_1x1s1p0_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_ndhwgc_gkzyxc_ndhwgk_f16_1x1s1p0_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_ndhwgc_gkzyxc_ndhwgk_f16_1x1s1p0_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_ndhwgc_gkzyxc_ndhwgk_i8_1x1s1p0_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_ndhwgc_gkzyxc_ndhwgk_i8_1x1s1p0_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_gndhwc_gkzyxc_gndhwk_f16_oddc_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_gndhwc_gkzyxc_gndhwk_f16_oddc_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_gndhwc_gkzyxc_gndhwk_i8_oddc_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_gndhwc_gkzyxc_gndhwk_i8_oddc_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_ndhwgc_gkzyxc_ndhwgk_f16_oddc_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_ndhwgc_gkzyxc_ndhwgk_f16_oddc_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_ndhwgc_gkzyxc_ndhwgk_i8_oddc_instance.cpp
wmma/device_grouped_conv3d_fwd_wmma_ndhwgc_gkzyxc_ndhwgk_i8_oddc_instance.cpp
)
)
if
((
DTYPES MATCHES
"fp8"
AND DTYPES MATCHES
"fp16"
)
OR NOT DEFINED DTYPES
)
list
(
APPEND GROUPED_CONV3D_FWD
xdl/device_grouped_conv3d_fwd_xdl_ndhwgc_gkzyxc_ndhwgk_f16_comp_fp8_instance.cpp
)
endif
()
add_instance_library
(
device_grouped_conv3d_fwd_instance
${
GROUPED_CONV3D_FWD
}
)
library/src/tensor_operation_instance/gpu/grouped_conv3d_fwd_scaleadd_scaleadd_relu/CMakeLists.txt
0 → 100644
View file @
11279540
set
(
GROUPED_CONV3D_FWD_scaleadd_scaleadd_RELU
xdl/device_grouped_conv3d_fwd_xdl_scaleadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_bf16_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_scaleadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_f16_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_scaleadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_f32_instance.cpp
xdl/device_grouped_conv3d_fwd_xdl_scaleadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_int8_instance.cpp
)
add_instance_library
(
device_grouped_conv3d_fwd_scaleadd_scaleadd_relu_instance
${
GROUPED_CONV3D_FWD_scaleadd_scaleadd_RELU
}
)
library/src/tensor_operation_instance/gpu/grouped_conv3d_fwd_scaleadd_scaleadd_relu/xdl/device_grouped_conv3d_fwd_xdl_scaleadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_bf16_instance.cpp
0 → 100644
View file @
11279540
// SPDX-License-Identifier: MIT
// Copyright (c) 2023, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_instance.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
namespace
ck
{
namespace
tensor_operation
{
namespace
device
{
namespace
instance
{
void
add_device_grouped_conv3d_fwd_xdl_scaleadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_bf16_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceGroupedConvFwdMultipleD
<
3
,
NDHWGC
,
GKZYXC
,
ck
::
Tuple
<
NDHWGK
,
NDHWGK
>
,
NDHWGK
,
BF16
,
BF16
,
ck
::
Tuple
<
BF16
,
BF16
>
,
BF16
,
PassThrough
,
PassThrough
,
ScaleAddScaleAddRelu
>>>&
instances
)
{
add_device_operation_instances
(
instances
,
device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_bf16_instances
<
3
,
NDHWGC
,
GKZYXC
,
ck
::
Tuple
<
NDHWGK
,
NDHWGK
>
,
NDHWGK
,
ConvFwdDefault
>
{});
add_device_operation_instances
(
instances
,
device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_bf16_instances
<
3
,
NDHWGC
,
GKZYXC
,
ck
::
Tuple
<
NDHWGK
,
NDHWGK
>
,
NDHWGK
,
ConvFwd1x1P0
>
{});
add_device_operation_instances
(
instances
,
device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_bf16_instances
<
3
,
NDHWGC
,
GKZYXC
,
ck
::
Tuple
<
NDHWGK
,
NDHWGK
>
,
NDHWGK
,
ConvFwd1x1S1P0
>
{});
}
}
// namespace instance
}
// namespace device
}
// namespace tensor_operation
}
// namespace ck
library/src/tensor_operation_instance/gpu/grouped_conv3d_fwd_scaleadd_scaleadd_relu/xdl/device_grouped_conv3d_fwd_xdl_scaleadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_f16_instance.cpp
0 → 100644
View file @
11279540
// SPDX-License-Identifier: MIT
// Copyright (c) 2023, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_instance.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
namespace
ck
{
namespace
tensor_operation
{
namespace
device
{
namespace
instance
{
void
add_device_grouped_conv3d_fwd_xdl_scaleadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_f16_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceGroupedConvFwdMultipleD
<
3
,
NDHWGC
,
GKZYXC
,
ck
::
Tuple
<
NDHWGK
,
NDHWGK
>
,
NDHWGK
,
F16
,
F16
,
ck
::
Tuple
<
half_t
,
half_t
>
,
F16
,
PassThrough
,
PassThrough
,
ScaleAddScaleAddRelu
>>>&
instances
)
{
add_device_operation_instances
(
instances
,
device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_f16_instances
<
3
,
NDHWGC
,
GKZYXC
,
ck
::
Tuple
<
NDHWGK
,
NDHWGK
>
,
NDHWGK
,
ConvFwdDefault
>
{});
add_device_operation_instances
(
instances
,
device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_f16_instances
<
3
,
NDHWGC
,
GKZYXC
,
ck
::
Tuple
<
NDHWGK
,
NDHWGK
>
,
NDHWGK
,
ConvFwd1x1P0
>
{});
add_device_operation_instances
(
instances
,
device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_f16_instances
<
3
,
NDHWGC
,
GKZYXC
,
ck
::
Tuple
<
NDHWGK
,
NDHWGK
>
,
NDHWGK
,
ConvFwd1x1S1P0
>
{});
}
}
// namespace instance
}
// namespace device
}
// namespace tensor_operation
}
// namespace ck
library/src/tensor_operation_instance/gpu/grouped_conv3d_fwd_scaleadd_scaleadd_relu/xdl/device_grouped_conv3d_fwd_xdl_scaleadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_f32_instance.cpp
0 → 100644
View file @
11279540
// SPDX-License-Identifier: MIT
// Copyright (c) 2023, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_instance.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
namespace
ck
{
namespace
tensor_operation
{
namespace
device
{
namespace
instance
{
void
add_device_grouped_conv3d_fwd_xdl_scaleadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_f32_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceGroupedConvFwdMultipleD
<
3
,
NDHWGC
,
GKZYXC
,
ck
::
Tuple
<
NDHWGK
,
NDHWGK
>
,
NDHWGK
,
F32
,
F32
,
ck
::
Tuple
<
F32
,
F32
>
,
F32
,
PassThrough
,
PassThrough
,
ScaleAddScaleAddRelu
>>>&
instances
)
{
add_device_operation_instances
(
instances
,
device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_f32_instances
<
3
,
NDHWGC
,
GKZYXC
,
ck
::
Tuple
<
NDHWGK
,
NDHWGK
>
,
NDHWGK
,
ConvFwdDefault
>
{});
add_device_operation_instances
(
instances
,
device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_f32_instances
<
3
,
NDHWGC
,
GKZYXC
,
ck
::
Tuple
<
NDHWGK
,
NDHWGK
>
,
NDHWGK
,
ConvFwd1x1P0
>
{});
add_device_operation_instances
(
instances
,
device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_f32_instances
<
3
,
NDHWGC
,
GKZYXC
,
ck
::
Tuple
<
NDHWGK
,
NDHWGK
>
,
NDHWGK
,
ConvFwd1x1S1P0
>
{});
}
}
// namespace instance
}
// namespace device
}
// namespace tensor_operation
}
// namespace ck
library/src/tensor_operation_instance/gpu/grouped_conv3d_fwd_scaleadd_scaleadd_relu/xdl/device_grouped_conv3d_fwd_xdl_scaleadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_int8_instance.cpp
0 → 100644
View file @
11279540
// SPDX-License-Identifier: MIT
// Copyright (c) 2023, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_instance.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
namespace
ck
{
namespace
tensor_operation
{
namespace
device
{
namespace
instance
{
void
add_device_grouped_conv3d_fwd_xdl_scaleadd_scaleadd_relu_ndhwgc_gkzyxc_ndhwgk_int8_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceGroupedConvFwdMultipleD
<
3
,
NDHWGC
,
GKZYXC
,
ck
::
Tuple
<
NDHWGK
,
NDHWGK
>
,
NDHWGK
,
int8_t
,
int8_t
,
ck
::
Tuple
<
F32
,
F32
>
,
int8_t
,
PassThrough
,
PassThrough
,
ScaleAddScaleAddRelu
>>>&
instances
)
{
add_device_operation_instances
(
instances
,
device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_int8_instances
<
3
,
NDHWGC
,
GKZYXC
,
ck
::
Tuple
<
NDHWGK
,
NDHWGK
>
,
NDHWGK
,
ConvFwdDefault
>
{});
add_device_operation_instances
(
instances
,
device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_int8_instances
<
3
,
NDHWGC
,
GKZYXC
,
ck
::
Tuple
<
NDHWGK
,
NDHWGK
>
,
NDHWGK
,
ConvFwd1x1P0
>
{});
add_device_operation_instances
(
instances
,
device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_int8_instances
<
3
,
NDHWGC
,
GKZYXC
,
ck
::
Tuple
<
NDHWGK
,
NDHWGK
>
,
NDHWGK
,
ConvFwd1x1S1P0
>
{});
}
}
// namespace instance
}
// namespace device
}
// namespace tensor_operation
}
// namespace ck
library/src/tensor_operation_instance/gpu/grouped_gemm/CMakeLists.txt
View file @
11279540
...
@@ -7,4 +7,6 @@ add_instance_library(device_grouped_gemm_instance
...
@@ -7,4 +7,6 @@ add_instance_library(device_grouped_gemm_instance
device_grouped_gemm_xdl_splitk_f16_f16_f16_mk_nk_mn_instance.cpp
device_grouped_gemm_xdl_splitk_f16_f16_f16_mk_nk_mn_instance.cpp
device_grouped_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_irregular_instance.cpp
device_grouped_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_irregular_instance.cpp
device_grouped_gemm_xdl_splitk_f16_f16_f16_mk_nk_mn_irregular_instance.cpp
device_grouped_gemm_xdl_splitk_f16_f16_f16_mk_nk_mn_irregular_instance.cpp
device_grouped_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_irregular_instance.cpp
device_grouped_gemm_xdl_splitk_f8_f16_f16_mk_kn_mn_irregular_instance.cpp
)
)
library/src/tensor_operation_instance/gpu/grouped_gemm/device_grouped_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instance.cpp
View file @
11279540
...
@@ -37,15 +37,6 @@ using device_grouped_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instances = std::tuple
...
@@ -37,15 +37,6 @@ using device_grouped_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_instances = std::tuple
//################################| Layout| Layout| Layout| Layout| Type| Type| Type| DataType| Type| Type| Elementwise| Elementwise| Elementwise| Spacialization| Prefetch| 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_MWaveMPerXdl| ScalarPerVector|
//################################| Layout| Layout| Layout| Layout| Type| Type| Type| DataType| Type| Type| Elementwise| Elementwise| Elementwise| Spacialization| Prefetch| 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_MWaveMPerXdl| ScalarPerVector|
//################################| | | | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NWaveNPerXdl| _NWaveNPerXdl|
//################################| | | | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NWaveNPerXdl| _NWaveNPerXdl|
//################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
//################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
// Currently AK1 must equal BK1 !
// DeviceGroupedGemmXdlSplitKCShuffle< Row, Row, Empty_Tuple, Row, F16, F16, F32, F16, Empty_Tuple, F16, PassThrough, PassThrough, PassThrough, GemmDefault, 1, 256, 256, 128, 32, 8, 2, 32, 32, 4, 2, S<1, 4, 64, 1>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 8, 8, 1, S<1, 8, 32, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 2, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8>,
// DeviceGroupedGemmXdlSplitKCShuffle< Row, Row, Empty_Tuple, Row, F16, F16, F32, F16, Empty_Tuple, F16, PassThrough, PassThrough, PassThrough, GemmDefault, 1, 256, 128, 256, 32, 8, 2, 32, 32, 2, 4, S<1, 4, 64, 1>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 8, 8, 1, S<1, 4, 64, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 2, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8>,
// DeviceGroupedGemmXdlSplitKCShuffle< Row, Row, Empty_Tuple, Row, F16, F16, F32, F16, Empty_Tuple, F16, PassThrough, PassThrough, PassThrough, GemmDefault, 1, 128, 128, 128, 32, 8, 2, 32, 32, 4, 2, S<1, 4, 32, 1>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 8, 8, 1, S<1, 4, 32, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 2, 4, 2, 0, 1, 1, S<1, 16, 1, 8>, 8>,
// DeviceGroupedGemmXdlSplitKCShuffle< Row, Row, Empty_Tuple, Row, F16, F16, F32, F16, Empty_Tuple, F16, PassThrough, PassThrough, PassThrough, GemmDefault, 1, 256, 128, 128, 32, 8, 2, 32, 32, 2, 2, S<1, 4, 64, 1>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 8, 8, 1, S<1, 8, 32, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 2, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8>,
// DeviceGroupedGemmXdlSplitKCShuffle< Row, Row, Empty_Tuple, Row, F16, F16, F32, F16, Empty_Tuple, F16, PassThrough, PassThrough, PassThrough, GemmDefault, 1, 128, 128, 64, 32, 8, 2, 32, 32, 2, 2, S<1, 4, 32, 1>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 8, 8, 1, S<1, 8, 16, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 2, 4, 2, 0, 1, 1, S<1, 32, 1, 4>, 8>,
// DeviceGroupedGemmXdlSplitKCShuffle< Row, Row, Empty_Tuple, Row, F16, F16, F32, F16, Empty_Tuple, F16, PassThrough, PassThrough, PassThrough, GemmDefault, 1, 128, 64, 128, 32, 8, 2, 32, 32, 2, 2, S<1, 4, 32, 1>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 8, 8, 1, S<1, 4, 32, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 2, 4, 2, 0, 1, 1, S<1, 16, 1, 8>, 8>,
// DeviceGroupedGemmXdlSplitKCShuffle< Row, Row, Empty_Tuple, Row, F16, F16, F32, F16, Empty_Tuple, F16, PassThrough, PassThrough, PassThrough, GemmDefault, 1, 256, 128, 64, 32, 8, 2, 32, 32, 2, 1, S<1, 4, 64, 1>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 8, 8, 1, S<1, 16,16, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 2, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8>,
// DeviceGroupedGemmXdlSplitKCShuffle< Row, Row, Empty_Tuple, Row, F16, F16, F32, F16, Empty_Tuple, F16, PassThrough, PassThrough, PassThrough, GemmDefault, 1, 256, 64, 128, 32, 8, 2, 32, 32, 1, 2, S<1, 4, 64, 1>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 8, 8, 1, S<1, 8, 32, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 2, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8>,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmDefault
,
1
,
256
,
256
,
128
,
32
,
8
,
8
,
32
,
32
,
4
,
2
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
2
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
8
>
,
8
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmDefault
,
1
,
256
,
256
,
128
,
32
,
8
,
8
,
32
,
32
,
4
,
2
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
2
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
8
>
,
8
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmDefault
,
1
,
256
,
128
,
256
,
32
,
8
,
8
,
32
,
32
,
2
,
4
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
4
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
8
>
,
8
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmDefault
,
1
,
256
,
128
,
256
,
32
,
8
,
8
,
32
,
32
,
2
,
4
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
4
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
8
>
,
8
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmDefault
,
1
,
128
,
128
,
128
,
32
,
8
,
8
,
32
,
32
,
4
,
2
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
4
,
8
,
1
,
1
,
1
,
S
<
1
,
16
,
1
,
8
>
,
8
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmDefault
,
1
,
128
,
128
,
128
,
32
,
8
,
8
,
32
,
32
,
4
,
2
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
4
,
8
,
1
,
1
,
1
,
S
<
1
,
16
,
1
,
8
>
,
8
>
,
...
...
library/src/tensor_operation_instance/gpu/grouped_gemm/device_grouped_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_irregular_instance.cpp
View file @
11279540
...
@@ -35,12 +35,6 @@ using device_grouped_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_irregular_tile_instanc
...
@@ -35,12 +35,6 @@ using device_grouped_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_irregular_tile_instanc
//################################| Layout| Layout| Layout| Layout| Type| Type| Type| DataType| Type| Type| Elementwise| Elementwise| Elementwise| Spacialization| Prefetch| 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_MWaveMPerXdl| ScalarPerVector|
//################################| Layout| Layout| Layout| Layout| Type| Type| Type| DataType| Type| Type| Elementwise| Elementwise| Elementwise| Spacialization| Prefetch| 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_MWaveMPerXdl| ScalarPerVector|
//################################| | | | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NWaveNPerXdl| _NWaveNPerXdl|
//################################| | | | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NWaveNPerXdl| _NWaveNPerXdl|
//################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
//################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
// Currently AK1 must equal BK1 !
// DeviceGroupedGemmXdlSplitKCShuffle< Row, Row, Empty_Tuple, Row, F16, F16, F32, F16, Empty_Tuple, F16, PassThrough, PassThrough, PassThrough, GemmMNKPadding, 1, 256, 128, 64, 32, 8, 2, 32, 32, 2, 1, S<1, 4, 64, 1>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 8, 8, 1, S<1, 16,16, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 2, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8>,
// DeviceGroupedGemmXdlSplitKCShuffle< Row, Row, Empty_Tuple, Row, F16, F16, F32, F16, Empty_Tuple, F16, PassThrough, PassThrough, PassThrough, GemmMNKPadding, 1, 256, 64, 128, 32, 8, 2, 32, 32, 1, 2, S<1, 4, 64, 1>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 8, 8, 1, S<1, 8, 32, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 2, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8>,
// DeviceGroupedGemmXdlSplitKCShuffle< Row, Row, Empty_Tuple, Row, F16, F16, F32, F16, Empty_Tuple, F16, PassThrough, PassThrough, PassThrough, GemmMNKPadding, 1, 128, 128, 64, 32, 8, 2, 32, 32, 2, 2, S<1, 4, 32, 1>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 8, 8, 1, S<1, 8, 16, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 2, 4, 2, 0, 1, 1, S<1, 32, 1, 4>, 8>,
// DeviceGroupedGemmXdlSplitKCShuffle< Row, Row, Empty_Tuple, Row, F16, F16, F32, F16, Empty_Tuple, F16, PassThrough, PassThrough, PassThrough, GemmMNKPadding, 1, 128, 64, 128, 32, 8, 2, 32, 32, 2, 2, S<1, 4, 32, 1>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 8, 8, 1, S<1, 4, 32, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 2, 4, 2, 0, 1, 1, S<1, 16, 1, 8>, 8>,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
256
,
256
,
128
,
32
,
8
,
8
,
32
,
32
,
4
,
2
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
2
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
256
,
256
,
128
,
32
,
8
,
8
,
32
,
32
,
4
,
2
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
64
,
1
>
,
S
<
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,
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PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
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,
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,
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,
32
,
8
,
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,
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,
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PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
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,
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,
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PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
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,
192
,
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,
32
,
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,
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32
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PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
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,
192
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64
,
32
,
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S
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1
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32
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8
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,
8
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PipelineVersion
::
v1
>
,
...
@@ -62,6 +56,27 @@ using device_grouped_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_irregular_tile_instanc
...
@@ -62,6 +56,27 @@ using device_grouped_gemm_xdl_splitk_f16_f16_f16_mk_kn_mn_irregular_tile_instanc
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
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,
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,
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,
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16
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1
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,
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PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F16
,
F32
,
F16
,
Empty_Tuple
,
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PassThrough
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,
PassThrough
,
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,
1
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PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
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Empty_Tuple
,
Row
,
F16
,
F16
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F32
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F16
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Empty_Tuple
,
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PassThrough
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PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
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,
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Empty_Tuple
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Row
,
F16
,
F16
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F32
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::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
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::
v1
,
LoopScheduler
::
Interwave
>
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DeviceGroupedGemmXdlSplitKCShuffle
<
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Empty_Tuple
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v1
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LoopScheduler
::
Interwave
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DeviceGroupedGemmXdlSplitKCShuffle
<
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::
v1
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LoopScheduler
::
Interwave
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DeviceGroupedGemmXdlSplitKCShuffle
<
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PipelineVersion
::
v1
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LoopScheduler
::
Interwave
>
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DeviceGroupedGemmXdlSplitKCShuffle
<
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,
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,
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PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
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Row
,
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PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
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DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
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Empty_Tuple
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Row
,
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F32
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PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
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,
F16
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F32
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F16
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PassThrough
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,
1
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,
2
>
,
S
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0
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1
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3
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2
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2
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4
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8
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1
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1
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1
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S
<
1
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16
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1
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8
>
,
8
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PipelineVersion
::
v1
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DeviceGroupedGemmXdlSplitKCShuffle
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GemmMNKPadding
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1
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64
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2
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3
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1
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32
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1
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S
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0
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1
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3
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2
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S
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1
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3
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2
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2
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2
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8
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1
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1
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1
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S
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1
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32
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1
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4
>
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8
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PipelineVersion
::
v1
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LoopScheduler
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,
DeviceGroupedGemmXdlSplitKCShuffle
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GemmMNKPadding
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1
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64
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128
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8
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32
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2
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32
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3
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1
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32
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1
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3
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2
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S
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1
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3
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2
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2
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4
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8
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1
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1
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1
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S
<
1
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16
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1
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8
>
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8
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PipelineVersion
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v1
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DeviceGroupedGemmXdlSplitKCShuffle
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GemmMNKPadding
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192
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32
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1
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3
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32
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1
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2
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3
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3
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1
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24
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1
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1
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3
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2
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1
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3
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2
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2
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8
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8
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1
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1
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1
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S
<
1
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16
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1
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8
>
,
8
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PipelineVersion
::
v1
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LoopScheduler
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Interwave
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,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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GemmMNKPadding
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192
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3
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32
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1
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2
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3
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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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1
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4
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32
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1
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S
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1
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3
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2
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S
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1
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3
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2
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2
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1
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8
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1
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1
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1
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S
<
1
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32
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1
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4
>
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8
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PipelineVersion
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v1
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LoopScheduler
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Interwave
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DeviceGroupedGemmXdlSplitKCShuffle
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Row
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GemmMNKPadding
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64
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32
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1
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1
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32
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1
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2
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3
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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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1
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S
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4
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32
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1
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S
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1
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3
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2
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S
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1
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3
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2
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2
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2
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8
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1
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1
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1
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S
<
1
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32
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1
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4
>
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8
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PipelineVersion
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v1
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LoopScheduler
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Interwave
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DeviceGroupedGemmXdlSplitKCShuffle
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Row
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1
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1
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3
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1
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3
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3
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8
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1
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32
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1
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S
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1
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3
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2
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S
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3
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2
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2
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1
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8
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1
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1
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1
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S
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1
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32
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1
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4
>
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8
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PipelineVersion
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v1
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LoopScheduler
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Interwave
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DeviceGroupedGemmXdlSplitKCShuffle
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3
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3
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8
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1
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32
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1
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S
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1
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3
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2
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1
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3
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2
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2
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4
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8
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1
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1
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1
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S
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1
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16
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1
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8
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8
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PipelineVersion
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v1
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LoopScheduler
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Interwave
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DeviceGroupedGemmXdlSplitKCShuffle
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3
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32
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1
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1
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3
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2
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3
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2
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1
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1
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S
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1
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32
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1
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4
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8
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PipelineVersion
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v1
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LoopScheduler
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Interwave
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,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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1
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3
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3
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8
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1
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S
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32
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1
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S
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1
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3
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2
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S
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1
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3
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2
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8
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1
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1
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1
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S
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1
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16
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1
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8
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8
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PipelineVersion
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v1
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LoopScheduler
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Interwave
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DeviceGroupedGemmXdlSplitKCShuffle
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Row
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2
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3
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2
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1
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3
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8
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8
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4
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16
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S
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1
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3
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1
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2
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8
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1
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1
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1
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S
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1
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16
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1
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4
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8
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PipelineVersion
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v1
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LoopScheduler
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Interwave
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DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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1
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2
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3
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2
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1
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3
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8
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4
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16
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>
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S
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1
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3
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1
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2
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8
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1
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1
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1
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S
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1
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16
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1
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4
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8
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PipelineVersion
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v1
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LoopScheduler
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Interwave
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DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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GemmMNKPadding
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2
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1
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S
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2
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1
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3
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2
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3
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8
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4
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16
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1
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3
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0
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1
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8
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1
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1
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1
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S
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1
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16
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1
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4
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8
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PipelineVersion
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v1
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Interwave
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DeviceGroupedGemmXdlSplitKCShuffle
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Row
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GemmMNKPadding
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256
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256
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128
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32
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32
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4
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2
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64
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S
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2
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1
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3
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2
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8
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64
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1
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3
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0
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8
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1
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1
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1
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S
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1
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32
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1
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8
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8
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PipelineVersion
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v2
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DeviceGroupedGemmXdlSplitKCShuffle
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Row
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GemmMNKPadding
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256
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256
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128
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32
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8
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32
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4
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S
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1
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32
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1
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8
>
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8
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PipelineVersion
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v2
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DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Row
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F16
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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256
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128
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256
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32
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8
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32
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32
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2
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0
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1
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S
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1
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32
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1
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8
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8
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PipelineVersion
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v2
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DeviceGroupedGemmXdlSplitKCShuffle
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PassThrough
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GemmMNKPadding
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256
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128
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256
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32
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8
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32
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32
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2
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64
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1
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4
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64
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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
,
4
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
8
>
,
8
,
PipelineVersion
::
v2
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
256
,
192
,
64
,
32
,
8
,
8
,
32
,
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,
3
,
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,
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>
,
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>
,
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,
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,
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,
1
,
S
<
1
,
32
,
1
,
8
>
,
8
,
PipelineVersion
::
v2
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
256
,
192
,
64
,
32
,
8
,
8
,
32
,
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,
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,
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,
S
<
1
,
32
,
1
,
8
>
,
8
,
PipelineVersion
::
v2
>
,
...
...
library/src/tensor_operation_instance/gpu/grouped_gemm/device_grouped_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_irregular_instance.cpp
0 → 100644
View file @
11279540
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#include <cstdlib>
#include "ck/ck.hpp"
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
#include "ck/tensor_operation/gpu/device/impl/device_grouped_gemm_xdl_splitk_cshuffle.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
namespace
ck
{
namespace
tensor_operation
{
namespace
device
{
namespace
instance
{
using
F8
=
ck
::
f8_t
;
using
F16
=
ck
::
half_t
;
using
F32
=
float
;
using
Row
=
ck
::
tensor_layout
::
gemm
::
RowMajor
;
using
Col
=
ck
::
tensor_layout
::
gemm
::
ColumnMajor
;
template
<
ck
::
index_t
...
Is
>
using
S
=
ck
::
Sequence
<
Is
...
>
;
using
Empty_Tuple
=
ck
::
Tuple
<>
;
using
PassThrough
=
ck
::
tensor_operation
::
element_wise
::
PassThrough
;
static
constexpr
auto
GemmMNKPadding
=
ck
::
tensor_operation
::
device
::
GemmSpecialization
::
MNKPadding
;
using
device_grouped_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_irregular_tile_instances
=
std
::
tuple
<
// clang-format off
//################################| A| B| Ds| E| AData| BData| AccData| CShuffle| DsData| EData| A| B| C| GEMM| NumGemmK| Block| MPer| NPer| KPer| AK1| BK1| MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer|
//################################| Layout| Layout| Layout| Layout| Type| Type| Type| DataType| Type| Type| Elementwise| Elementwise| Elementwise| Spacialization| Prefetch| 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_MWaveMPerXdl| ScalarPerVector|
//################################| | | | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NWaveNPerXdl| _NWaveNPerXdl|
//################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F8
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
256
,
256
,
128
,
32
,
8
,
8
,
32
,
32
,
4
,
2
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
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0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
2
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F8
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
256
,
128
,
256
,
32
,
8
,
8
,
32
,
32
,
2
,
4
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
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<
0
,
2
,
1
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3
>
,
3
,
8
,
8
,
1
,
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1
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4
,
64
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
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0
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1
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3
,
2
>
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2
,
4
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F8
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
256
,
192
,
64
,
32
,
8
,
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32
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3
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8
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1
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1
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S
<
1
,
32
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F8
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
256
,
64
,
192
,
32
,
8
,
8
,
32
,
32
,
1
,
3
,
S
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1
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4
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64
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1
>
,
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2
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1
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3
>
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8
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4
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48
,
1
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3
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1
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,
1
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1
,
S
<
1
,
32
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F8
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
256
,
128
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,
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1
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32
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1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F8
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F32
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F16
,
Empty_Tuple
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1
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32
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1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F8
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
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,
PassThrough
,
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,
1
,
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64
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128
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1
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1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F8
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
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,
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,
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,
1
,
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16
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,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F8
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
128
,
128
,
64
,
32
,
8
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32
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>
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,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F8
,
F32
,
F16
,
Empty_Tuple
,
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,
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,
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8
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PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
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,
F32
,
F16
,
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1
,
16
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1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F8
,
F32
,
F16
,
Empty_Tuple
,
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,
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PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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GemmMNKPadding
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1
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128
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64
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8
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8
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32
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32
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1
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1
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32
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1
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2
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3
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3
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8
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8
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1
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4
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32
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1
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S
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0
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1
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3
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2
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S
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1
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3
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2
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2
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2
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8
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1
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1
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1
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S
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1
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32
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1
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4
>
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8
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PipelineVersion
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v1
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,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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128
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64
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32
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32
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8
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8
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32
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32
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1
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1
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4
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32
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1
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3
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3
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1
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32
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1
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1
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3
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2
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1
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3
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2
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2
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1
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8
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1
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1
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1
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S
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1
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32
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1
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4
>
,
8
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PipelineVersion
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v1
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DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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128
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32
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128
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8
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8
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32
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32
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1
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2
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32
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1
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3
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32
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1
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2
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1
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3
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2
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2
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4
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8
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1
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1
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1
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S
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1
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16
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1
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8
>
,
8
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PipelineVersion
::
v1
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,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Row
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F8
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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32
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32
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8
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32
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2
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32
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1
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3
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32
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1
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2
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3
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2
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8
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1
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1
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1
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S
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1
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32
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1
,
4
>
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8
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PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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128
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64
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64
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32
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8
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32
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32
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2
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1
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4
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32
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1
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3
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3
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8
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32
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1
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1
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3
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2
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2
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8
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1
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1
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1
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S
<
1
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16
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1
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8
>
,
8
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PipelineVersion
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v1
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,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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64
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64
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64
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32
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8
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32
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2
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2
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16
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1
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3
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1
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16
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1
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1
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1
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S
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1
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16
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1
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4
>
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8
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PipelineVersion
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v1
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,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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2
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2
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1
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1
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S
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1
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16
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1
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4
>
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8
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PipelineVersion
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v1
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DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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PassThrough
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GemmMNKPadding
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64
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32
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64
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8
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32
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1
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2
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16
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1
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2
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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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1
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16
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1
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S
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1
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3
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2
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1
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3
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2
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2
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2
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8
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1
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1
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1
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S
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1
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16
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1
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4
>
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8
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PipelineVersion
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v1
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,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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256
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256
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128
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32
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8
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8
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32
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32
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4
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2
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S
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4
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64
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1
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S
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0
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2
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1
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3
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S
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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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1
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S
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1
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4
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64
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1
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S
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0
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1
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3
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2
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S
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0
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1
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3
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2
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2
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2
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8
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1
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1
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1
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S
<
1
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32
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1
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8
>
,
8
,
PipelineVersion
::
v1
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LoopScheduler
::
Interwave
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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256
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128
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256
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32
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8
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8
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32
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32
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2
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4
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4
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64
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1
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S
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0
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2
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1
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3
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S
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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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1
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S
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4
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64
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1
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S
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1
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3
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2
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S
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0
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1
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3
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2
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2
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4
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8
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1
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1
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1
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S
<
1
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32
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1
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8
>
,
8
,
PipelineVersion
::
v1
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LoopScheduler
::
Interwave
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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256
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192
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64
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32
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8
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8
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32
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32
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3
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1
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S
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1
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4
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64
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1
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S
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0
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2
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1
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3
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S
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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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1
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S
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1
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4
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32
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1
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S
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0
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1
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3
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2
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S
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0
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1
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3
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2
>
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2
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8
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1
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1
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1
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S
<
1
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32
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1
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8
>
,
8
,
PipelineVersion
::
v1
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LoopScheduler
::
Interwave
>
,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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256
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64
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192
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32
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8
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8
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32
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32
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1
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3
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S
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1
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4
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64
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1
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S
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0
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2
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1
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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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8
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8
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1
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4
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48
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1
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S
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0
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1
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3
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2
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S
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0
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1
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3
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2
>
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8
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1
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1
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1
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S
<
1
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32
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
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LoopScheduler
::
Interwave
>
,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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Empty_Tuple
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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128
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32
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32
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32
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2
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2
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64
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1
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S
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0
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2
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1
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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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8
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4
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64
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1
>
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S
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0
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1
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3
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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
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8
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1
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1
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1
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S
<
1
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32
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1
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8
>
,
8
,
PipelineVersion
::
v1
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LoopScheduler
::
Interwave
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,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F32
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GemmMNKPadding
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32
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2
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1
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64
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1
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2
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1
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3
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2
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1
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3
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8
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4
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64
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0
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1
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3
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0
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1
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3
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2
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8
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1
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1
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1
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S
<
1
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32
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1
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8
>
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8
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PipelineVersion
::
v1
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LoopScheduler
::
Interwave
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,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F32
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Empty_Tuple
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PassThrough
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GemmMNKPadding
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128
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32
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32
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1
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2
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4
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64
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1
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S
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0
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2
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1
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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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8
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S
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1
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4
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64
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1
>
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S
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0
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1
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3
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2
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S
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0
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1
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3
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2
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8
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1
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1
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1
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S
<
1
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32
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1
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8
>
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8
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PipelineVersion
::
v1
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LoopScheduler
::
Interwave
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,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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128
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128
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128
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32
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8
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8
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32
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32
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4
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2
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S
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1
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4
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32
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1
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S
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2
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1
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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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8
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1
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1
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4
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32
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1
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S
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0
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1
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3
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2
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S
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0
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1
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3
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2
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8
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1
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1
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1
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S
<
1
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16
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1
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8
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8
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PipelineVersion
::
v1
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LoopScheduler
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Interwave
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DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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PassThrough
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GemmMNKPadding
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1
,
128
,
128
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64
,
32
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8
,
8
,
32
,
32
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2
,
2
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S
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1
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4
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32
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1
>
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S
<
0
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2
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1
,
3
>
,
S
<
0
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2
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1
,
3
>
,
3
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8
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8
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1
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S
<
1
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4
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32
,
1
>
,
S
<
0
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1
,
3
,
2
>
,
S
<
0
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1
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3
,
2
>
,
2
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2
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8
,
1
,
1
,
1
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S
<
1
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32
,
1
,
4
>
,
8
,
PipelineVersion
::
v1
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LoopScheduler
::
Interwave
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,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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128
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64
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128
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32
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8
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8
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32
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32
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2
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2
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S
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1
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4
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32
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1
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S
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0
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2
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1
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3
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S
<
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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1
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S
<
1
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4
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32
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1
>
,
S
<
0
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1
,
3
,
2
>
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S
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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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4
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8
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1
,
1
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1
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S
<
1
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16
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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128
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32
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192
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32
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8
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8
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32
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32
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1
,
3
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S
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1
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4
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32
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1
>
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S
<
0
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2
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1
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3
>
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S
<
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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1
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S
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1
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4
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24
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1
>
,
S
<
0
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1
,
3
,
2
>
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S
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0
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1
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3
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2
>
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2
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8
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8
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1
,
1
,
1
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S
<
1
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16
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
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LoopScheduler
::
Interwave
>
,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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128
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192
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32
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32
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8
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8
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32
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32
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3
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1
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S
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1
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4
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32
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1
>
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S
<
0
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2
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1
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3
>
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S
<
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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1
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S
<
1
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4
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32
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1
>
,
S
<
0
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1
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3
,
2
>
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S
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0
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1
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3
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2
>
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2
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1
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8
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1
,
1
,
1
,
S
<
1
,
32
,
1
,
4
>
,
8
,
PipelineVersion
::
v1
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LoopScheduler
::
Interwave
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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128
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32
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64
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32
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8
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8
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32
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32
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1
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1
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S
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1
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4
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32
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1
>
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S
<
0
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2
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1
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3
>
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S
<
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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1
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S
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1
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4
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32
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1
>
,
S
<
0
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1
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3
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2
>
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S
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0
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1
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3
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2
>
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2
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2
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8
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1
,
1
,
1
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S
<
1
,
32
,
1
,
4
>
,
8
,
PipelineVersion
::
v1
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LoopScheduler
::
Interwave
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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128
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64
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32
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32
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8
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8
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32
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32
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1
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1
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S
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1
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4
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32
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1
>
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S
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0
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2
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1
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3
>
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S
<
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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1
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S
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1
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4
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32
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1
>
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S
<
0
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1
,
3
,
2
>
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S
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0
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1
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3
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2
>
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2
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1
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8
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1
,
1
,
1
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S
<
1
,
32
,
1
,
4
>
,
8
,
PipelineVersion
::
v1
,
LoopScheduler
::
Interwave
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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128
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32
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128
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32
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8
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8
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32
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32
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1
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2
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S
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1
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4
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32
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1
>
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S
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0
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2
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1
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3
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S
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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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1
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S
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1
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4
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32
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1
>
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S
<
0
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1
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3
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2
>
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S
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0
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1
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3
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2
>
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2
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4
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8
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1
,
1
,
1
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S
<
1
,
16
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
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LoopScheduler
::
Interwave
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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128
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128
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32
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32
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8
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8
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32
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32
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2
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1
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S
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1
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4
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32
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1
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S
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0
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2
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1
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3
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S
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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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1
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S
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1
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4
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32
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1
>
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S
<
0
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1
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3
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2
>
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S
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0
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1
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3
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2
>
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2
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1
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8
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1
,
1
,
1
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S
<
1
,
32
,
1
,
4
>
,
8
,
PipelineVersion
::
v1
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LoopScheduler
::
Interwave
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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128
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64
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64
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32
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8
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8
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32
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32
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2
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1
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S
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1
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4
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32
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1
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S
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0
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2
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1
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3
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S
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0
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2
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1
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3
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8
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8
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1
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4
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32
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1
>
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S
<
0
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1
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3
,
2
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0
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1
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3
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2
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8
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1
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1
,
1
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S
<
1
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16
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
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LoopScheduler
::
Interwave
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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64
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64
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64
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32
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8
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8
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32
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32
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2
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2
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S
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1
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4
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16
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1
>
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S
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0
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2
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1
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3
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0
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2
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3
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8
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1
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4
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16
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<
0
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1
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3
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0
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1
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2
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1
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1
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1
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S
<
1
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16
,
1
,
4
>
,
8
,
PipelineVersion
::
v1
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LoopScheduler
::
Interwave
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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64
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64
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32
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32
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8
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8
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32
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32
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2
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1
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S
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1
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4
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16
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1
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S
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0
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2
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1
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3
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<
0
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2
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3
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1
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4
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16
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0
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1
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1
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S
<
1
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16
,
1
,
4
>
,
8
,
PipelineVersion
::
v1
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LoopScheduler
::
Interwave
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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64
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32
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64
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32
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8
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8
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32
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32
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1
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2
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S
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1
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4
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16
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1
>
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S
<
0
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2
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1
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3
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<
0
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2
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1
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4
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0
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S
<
1
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16
,
1
,
4
>
,
8
,
PipelineVersion
::
v1
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LoopScheduler
::
Interwave
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
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Row
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Empty_Tuple
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Row
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F16
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F8
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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256
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256
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128
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32
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8
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8
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32
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32
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4
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2
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S
<
1
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4
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<
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3
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0
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1
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0
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8
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1
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1
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S
<
1
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32
,
1
,
8
>
,
8
,
PipelineVersion
::
v2
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,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F32
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F16
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Empty_Tuple
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PassThrough
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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256
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128
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256
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32
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8
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32
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32
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2
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S
<
1
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32
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1
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8
>
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8
,
PipelineVersion
::
v2
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,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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GemmMNKPadding
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1
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256
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192
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64
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32
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8
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8
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32
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32
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3
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4
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1
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0
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1
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S
<
1
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32
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1
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8
>
,
8
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PipelineVersion
::
v2
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,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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256
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64
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192
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32
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8
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8
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32
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32
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1
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3
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1
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4
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0
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1
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0
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1
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1
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S
<
1
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32
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1
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8
>
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8
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PipelineVersion
::
v2
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,
DeviceGroupedGemmXdlSplitKCShuffle
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Row
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Row
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Empty_Tuple
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Row
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F16
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F32
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F16
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Empty_Tuple
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F16
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PassThrough
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PassThrough
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PassThrough
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GemmMNKPadding
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1
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256
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128
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128
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32
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8
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// clang-format on
>
;
void
add_device_grouped_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_irregular_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceGroupedGemm
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F16
,
F8
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
>>>&
instances
)
{
add_device_operation_instances
(
instances
,
device_grouped_gemm_xdl_splitk_f16_f8_f16_mk_kn_mn_irregular_tile_instances
{});
}
}
// namespace instance
}
// namespace device
}
// namespace tensor_operation
}
// namespace ck
library/src/tensor_operation_instance/gpu/grouped_gemm/device_grouped_gemm_xdl_splitk_f8_f16_f16_mk_kn_mn_irregular_instance.cpp
0 → 100644
View file @
11279540
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#include <cstdlib>
#include "ck/ck.hpp"
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
#include "ck/tensor_operation/gpu/device/impl/device_grouped_gemm_xdl_splitk_cshuffle.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
namespace
ck
{
namespace
tensor_operation
{
namespace
device
{
namespace
instance
{
using
F8
=
ck
::
f8_t
;
using
F16
=
ck
::
half_t
;
using
F32
=
float
;
using
Row
=
ck
::
tensor_layout
::
gemm
::
RowMajor
;
using
Col
=
ck
::
tensor_layout
::
gemm
::
ColumnMajor
;
template
<
ck
::
index_t
...
Is
>
using
S
=
ck
::
Sequence
<
Is
...
>
;
using
Empty_Tuple
=
ck
::
Tuple
<>
;
using
PassThrough
=
ck
::
tensor_operation
::
element_wise
::
PassThrough
;
static
constexpr
auto
GemmMNKPadding
=
ck
::
tensor_operation
::
device
::
GemmSpecialization
::
MNKPadding
;
using
device_grouped_gemm_xdl_splitk_f8_f16_f16_mk_kn_mn_irregular_tile_instances
=
std
::
tuple
<
// clang-format off
//################################| A| B| Ds| E| AData| BData| AccData| CShuffle| DsData| EData| A| B| C| GEMM| NumGemmK| Block| MPer| NPer| KPer| AK1| BK1| MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer|
//################################| Layout| Layout| Layout| Layout| Type| Type| Type| DataType| Type| Type| Elementwise| Elementwise| Elementwise| Spacialization| Prefetch| 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_MWaveMPerXdl| ScalarPerVector|
//################################| | | | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NWaveNPerXdl| _NWaveNPerXdl|
//################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F8
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
256
,
256
,
128
,
32
,
8
,
8
,
32
,
32
,
4
,
2
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
2
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F8
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
256
,
128
,
256
,
32
,
8
,
8
,
32
,
32
,
2
,
4
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
4
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F8
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
256
,
192
,
64
,
32
,
8
,
8
,
32
,
32
,
3
,
1
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
2
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F8
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
256
,
64
,
192
,
32
,
8
,
8
,
32
,
32
,
1
,
3
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
48
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
2
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F8
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
256
,
128
,
128
,
32
,
8
,
8
,
32
,
32
,
2
,
2
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
2
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F8
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
256
,
128
,
64
,
32
,
8
,
8
,
32
,
32
,
2
,
1
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
1
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F8
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
256
,
64
,
128
,
32
,
8
,
8
,
32
,
32
,
1
,
2
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
64
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
2
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F8
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
128
,
128
,
128
,
32
,
8
,
8
,
32
,
32
,
4
,
2
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
4
,
8
,
1
,
1
,
1
,
S
<
1
,
16
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F8
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
128
,
128
,
64
,
32
,
8
,
8
,
32
,
32
,
2
,
2
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
2
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
4
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F8
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
128
,
64
,
128
,
32
,
8
,
8
,
32
,
32
,
2
,
2
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
4
,
8
,
1
,
1
,
1
,
S
<
1
,
16
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F8
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
128
,
32
,
192
,
32
,
8
,
8
,
32
,
32
,
1
,
3
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
24
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
8
,
8
,
1
,
1
,
1
,
S
<
1
,
16
,
1
,
8
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F8
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
128
,
192
,
32
,
32
,
8
,
8
,
32
,
32
,
3
,
1
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
2
,
1
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3
>
,
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0
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2
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3
>
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8
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1
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4
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32
,
1
>
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0
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1
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3
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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
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2
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8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
4
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F8
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
128
,
32
,
64
,
32
,
8
,
8
,
32
,
32
,
1
,
1
,
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1
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4
,
32
,
1
>
,
S
<
0
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2
,
1
,
3
>
,
S
<
0
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2
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3
>
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3
,
8
,
8
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1
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
2
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
4
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F8
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
128
,
64
,
32
,
32
,
8
,
8
,
32
,
32
,
1
,
1
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
2
,
1
,
3
>
,
S
<
0
,
2
,
1
,
3
>
,
3
,
8
,
8
,
1
,
S
<
1
,
4
,
32
,
1
>
,
S
<
0
,
1
,
3
,
2
>
,
S
<
0
,
1
,
3
,
2
>
,
2
,
1
,
8
,
1
,
1
,
1
,
S
<
1
,
32
,
1
,
4
>
,
8
,
PipelineVersion
::
v1
>
,
DeviceGroupedGemmXdlSplitKCShuffle
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F8
,
F16
,
F32
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
,
GemmMNKPadding
,
1
,
128
,
32
,
128
,
32
,
8
,
8
,
32
,
32
,
1
,
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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1
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24
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1
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2
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DeviceGroupedGemmXdlSplitKCShuffle
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DeviceGroupedGemmXdlSplitKCShuffle
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32
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DeviceGroupedGemmXdlSplitKCShuffle
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DeviceGroupedGemmXdlSplitKCShuffle
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v1
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DeviceGroupedGemmXdlSplitKCShuffle
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DeviceGroupedGemmXdlSplitKCShuffle
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1
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4
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v1
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DeviceGroupedGemmXdlSplitKCShuffle
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32
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1
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8
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DeviceGroupedGemmXdlSplitKCShuffle
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// clang-format on
>
;
void
add_device_grouped_gemm_xdl_splitk_f8_f16_f16_mk_kn_mn_irregular_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceGroupedGemm
<
Row
,
Row
,
Empty_Tuple
,
Row
,
F8
,
F16
,
Empty_Tuple
,
F16
,
PassThrough
,
PassThrough
,
PassThrough
>>>&
instances
)
{
add_device_operation_instances
(
instances
,
device_grouped_gemm_xdl_splitk_f8_f16_f16_mk_kn_mn_irregular_tile_instances
{});
}
}
// namespace instance
}
// namespace device
}
// namespace tensor_operation
}
// namespace ck
library/src/tensor_operation_instance/gpu/grouped_gemm_fixed_nk/CMakeLists.txt
View file @
11279540
set
(
GROUPED_GEMM_FIXED_NK_INSTANCES
)
set
(
GROUPED_GEMM_FIXED_NK_INSTANCES
)
if
(
DTYPES MATCHES
"fp16"
OR NOT DEFINED DTYPES
)
list
(
APPEND GROUPED_GEMM_FIXED_NK_INSTANCES device_grouped_gemm_xdl_fixed_nk_f16_f16_f16_mk_kn_mn_instance.cpp
list
(
APPEND GROUPED_GEMM_FIXED_NK_INSTANCES device_grouped_gemm_xdl_fixed_nk_f16_f16_f16_mk_kn_mn_instance.cpp
)
device_grouped_gemm_xdl_fixed_nk_f16_f16_f16_mk_nk_mn_instance.cpp
list
(
APPEND GROUPED_GEMM_FIXED_NK_INSTANCES device_grouped_gemm_xdl_fixed_nk_f16_f16_f16_mk_nk_mn_instance.cpp
)
device_grouped_gemm_xdl_fixed_nk_f16_fp8_f16_mk_kn_mn_instance.cpp
endif
()
device_grouped_gemm_xdl_fixed_nk_f16_fp8_f16_mk_nk_mn_instance.cpp
device_grouped_gemm_xdl_fixed_nk_f16_i8_f16_mk_kn_mn_instance.cpp
if
((
DTYPES MATCHES
"fp8"
AND DTYPES MATCHES
"fp16"
)
OR NOT DEFINED DTYPES
)
device_grouped_gemm_xdl_fixed_nk_f16_i8_f16_mk_nk_mn_instance.cpp
)
list
(
APPEND GROUPED_GEMM_FIXED_NK_INSTANCES device_grouped_gemm_xdl_fixed_nk_f16_fp8_f16_mk_kn_mn_instance.cpp
)
list
(
APPEND GROUPED_GEMM_FIXED_NK_INSTANCES device_grouped_gemm_xdl_fixed_nk_f16_fp8_f16_mk_nk_mn_instance.cpp
)
endif
()
if
((
DTYPES MATCHES
"int8"
AND DTYPES MATCHES
"fp16"
)
OR NOT DEFINED DTYPES
)
list
(
APPEND GROUPED_GEMM_FIXED_NK_INSTANCES device_grouped_gemm_xdl_fixed_nk_f16_i8_f16_mk_kn_mn_instance.cpp
)
list
(
APPEND GROUPED_GEMM_FIXED_NK_INSTANCES device_grouped_gemm_xdl_fixed_nk_f16_i8_f16_mk_nk_mn_instance.cpp
)
endif
()
add_instance_library
(
device_grouped_gemm_fixed_nk_instance
${
GROUPED_GEMM_FIXED_NK_INSTANCES
}
)
add_instance_library
(
device_grouped_gemm_fixed_nk_instance
${
GROUPED_GEMM_FIXED_NK_INSTANCES
}
)
library/src/tensor_operation_instance/gpu/image_to_column/CMakeLists.txt
View file @
11279540
add_instance_library
(
device_image_to_column_instance
add_instance_library
(
device_image_to_column_instance
device_image_to_column_nhwc_1d_instance.cpp
device_image_to_column_gnwc_1d_instance.cpp
device_image_to_column_nhwc_2d_instance.cpp
device_image_to_column_gnhwc_2d_instance.cpp
device_image_to_column_nhwc_3d_instance.cpp
device_image_to_column_gndhwc_3d_instance.cpp
device_image_to_column_nwgc_1d_instance.cpp
device_image_to_column_nhwgc_2d_instance.cpp
device_image_to_column_ndhwgc_3d_instance.cpp
)
)
library/src/tensor_operation_instance/gpu/image_to_column/device_image_to_column_
n
hwc_3d_instance.cpp
→
library/src/tensor_operation_instance/gpu/image_to_column/device_image_to_column_
gnd
hwc_3d_instance.cpp
View file @
11279540
// SPDX-License-Identifier: MIT
// SPDX-License-Identifier: MIT
// Copyright (c)
2018-
2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2023, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/library/tensor_operation_instance/gpu/conv_tensor_rearrange/device_image_to_column_instance.hpp"
#include "ck/library/tensor_operation_instance/gpu/conv_tensor_rearrange/device_image_to_column_instance.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
...
@@ -11,7 +11,7 @@ namespace instance {
...
@@ -11,7 +11,7 @@ namespace instance {
using
namespace
ck
::
conv_tensor_rearrange_op
;
using
namespace
ck
::
conv_tensor_rearrange_op
;
void
add_device_image_to_column_ndhwc_3d_bf16_instances
(
void
add_device_image_to_column_
g
ndhwc_3d_bf16_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
3
,
GNDHWC
,
BF16
,
BF16
,
ImageToColumn
>>>&
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
3
,
GNDHWC
,
BF16
,
BF16
,
ImageToColumn
>>>&
instances
)
instances
)
{
{
...
@@ -22,7 +22,7 @@ void add_device_image_to_column_ndhwc_3d_bf16_instances(
...
@@ -22,7 +22,7 @@ void add_device_image_to_column_ndhwc_3d_bf16_instances(
#endif
#endif
}
}
void
add_device_image_to_column_ndhwc_3d_f16_instances
(
void
add_device_image_to_column_
g
ndhwc_3d_f16_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
3
,
GNDHWC
,
F16
,
F16
,
ImageToColumn
>>>&
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
3
,
GNDHWC
,
F16
,
F16
,
ImageToColumn
>>>&
instances
)
instances
)
{
{
...
@@ -33,7 +33,7 @@ void add_device_image_to_column_ndhwc_3d_f16_instances(
...
@@ -33,7 +33,7 @@ void add_device_image_to_column_ndhwc_3d_f16_instances(
#endif
#endif
}
}
void
add_device_image_to_column_ndhwc_3d_f32_instances
(
void
add_device_image_to_column_
g
ndhwc_3d_f32_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
3
,
GNDHWC
,
F32
,
F32
,
ImageToColumn
>>>&
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
3
,
GNDHWC
,
F32
,
F32
,
ImageToColumn
>>>&
instances
)
instances
)
{
{
...
@@ -44,7 +44,7 @@ void add_device_image_to_column_ndhwc_3d_f32_instances(
...
@@ -44,7 +44,7 @@ void add_device_image_to_column_ndhwc_3d_f32_instances(
#endif
#endif
}
}
void
add_device_image_to_column_ndhwc_3d_i8_instances
(
void
add_device_image_to_column_
g
ndhwc_3d_i8_instances
(
std
::
vector
<
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
3
,
GNDHWC
,
int8_t
,
int8_t
,
ImageToColumn
>>>&
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
3
,
GNDHWC
,
int8_t
,
int8_t
,
ImageToColumn
>>>&
instances
)
instances
)
...
...
library/src/tensor_operation_instance/gpu/image_to_column/device_image_to_column_nhwc_2d_instance.cpp
→
library/src/tensor_operation_instance/gpu/image_to_column/device_image_to_column_
g
nhwc_2d_instance.cpp
View file @
11279540
// SPDX-License-Identifier: MIT
// SPDX-License-Identifier: MIT
// Copyright (c)
2018-
2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2023, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/library/tensor_operation_instance/gpu/conv_tensor_rearrange/device_image_to_column_instance.hpp"
#include "ck/library/tensor_operation_instance/gpu/conv_tensor_rearrange/device_image_to_column_instance.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
...
@@ -11,7 +11,7 @@ namespace instance {
...
@@ -11,7 +11,7 @@ namespace instance {
using
namespace
ck
::
conv_tensor_rearrange_op
;
using
namespace
ck
::
conv_tensor_rearrange_op
;
void
add_device_image_to_column_nhwc_2d_bf16_instances
(
void
add_device_image_to_column_
g
nhwc_2d_bf16_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
2
,
GNHWC
,
BF16
,
BF16
,
ImageToColumn
>>>&
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
2
,
GNHWC
,
BF16
,
BF16
,
ImageToColumn
>>>&
instances
)
instances
)
{
{
...
@@ -22,7 +22,7 @@ void add_device_image_to_column_nhwc_2d_bf16_instances(
...
@@ -22,7 +22,7 @@ void add_device_image_to_column_nhwc_2d_bf16_instances(
#endif
#endif
}
}
void
add_device_image_to_column_nhwc_2d_f16_instances
(
void
add_device_image_to_column_
g
nhwc_2d_f16_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
2
,
GNHWC
,
F16
,
F16
,
ImageToColumn
>>>&
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
2
,
GNHWC
,
F16
,
F16
,
ImageToColumn
>>>&
instances
)
instances
)
{
{
...
@@ -33,7 +33,7 @@ void add_device_image_to_column_nhwc_2d_f16_instances(
...
@@ -33,7 +33,7 @@ void add_device_image_to_column_nhwc_2d_f16_instances(
#endif
#endif
}
}
void
add_device_image_to_column_nhwc_2d_f32_instances
(
void
add_device_image_to_column_
g
nhwc_2d_f32_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
2
,
GNHWC
,
F32
,
F32
,
ImageToColumn
>>>&
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
2
,
GNHWC
,
F32
,
F32
,
ImageToColumn
>>>&
instances
)
instances
)
{
{
...
@@ -44,7 +44,7 @@ void add_device_image_to_column_nhwc_2d_f32_instances(
...
@@ -44,7 +44,7 @@ void add_device_image_to_column_nhwc_2d_f32_instances(
#endif
#endif
}
}
void
add_device_image_to_column_nhwc_2d_i8_instances
(
void
add_device_image_to_column_
g
nhwc_2d_i8_instances
(
std
::
vector
<
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
2
,
GNHWC
,
int8_t
,
int8_t
,
ImageToColumn
>>>&
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
2
,
GNHWC
,
int8_t
,
int8_t
,
ImageToColumn
>>>&
instances
)
instances
)
...
...
library/src/tensor_operation_instance/gpu/image_to_column/device_image_to_column_n
h
wc_1d_instance.cpp
→
library/src/tensor_operation_instance/gpu/image_to_column/device_image_to_column_
g
nwc_1d_instance.cpp
View file @
11279540
// SPDX-License-Identifier: MIT
// SPDX-License-Identifier: MIT
// Copyright (c)
2018-
2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2023, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/library/tensor_operation_instance/gpu/conv_tensor_rearrange/device_image_to_column_instance.hpp"
#include "ck/library/tensor_operation_instance/gpu/conv_tensor_rearrange/device_image_to_column_instance.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
...
@@ -11,7 +11,7 @@ namespace instance {
...
@@ -11,7 +11,7 @@ namespace instance {
using
namespace
ck
::
conv_tensor_rearrange_op
;
using
namespace
ck
::
conv_tensor_rearrange_op
;
void
add_device_image_to_column_nwc_1d_bf16_instances
(
void
add_device_image_to_column_
g
nwc_1d_bf16_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
1
,
GNWC
,
BF16
,
BF16
,
ImageToColumn
>>>&
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
1
,
GNWC
,
BF16
,
BF16
,
ImageToColumn
>>>&
instances
)
instances
)
{
{
...
@@ -22,7 +22,7 @@ void add_device_image_to_column_nwc_1d_bf16_instances(
...
@@ -22,7 +22,7 @@ void add_device_image_to_column_nwc_1d_bf16_instances(
#endif
#endif
}
}
void
add_device_image_to_column_nwc_1d_f16_instances
(
void
add_device_image_to_column_
g
nwc_1d_f16_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
1
,
GNWC
,
F16
,
F16
,
ImageToColumn
>>>&
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
1
,
GNWC
,
F16
,
F16
,
ImageToColumn
>>>&
instances
)
instances
)
{
{
...
@@ -33,7 +33,7 @@ void add_device_image_to_column_nwc_1d_f16_instances(
...
@@ -33,7 +33,7 @@ void add_device_image_to_column_nwc_1d_f16_instances(
#endif
#endif
}
}
void
add_device_image_to_column_nwc_1d_f32_instances
(
void
add_device_image_to_column_
g
nwc_1d_f32_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
1
,
GNWC
,
F32
,
F32
,
ImageToColumn
>>>&
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
1
,
GNWC
,
F32
,
F32
,
ImageToColumn
>>>&
instances
)
instances
)
{
{
...
@@ -44,7 +44,7 @@ void add_device_image_to_column_nwc_1d_f32_instances(
...
@@ -44,7 +44,7 @@ void add_device_image_to_column_nwc_1d_f32_instances(
#endif
#endif
}
}
void
add_device_image_to_column_nwc_1d_i8_instances
(
void
add_device_image_to_column_
g
nwc_1d_i8_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
1
,
GNWC
,
int8_t
,
int8_t
,
ImageToColumn
>>>&
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
1
,
GNWC
,
int8_t
,
int8_t
,
ImageToColumn
>>>&
instances
)
instances
)
{
{
...
...
library/src/tensor_operation_instance/gpu/image_to_column/device_image_to_column_ndhwgc_3d_instance.cpp
0 → 100644
View file @
11279540
// SPDX-License-Identifier: MIT
// Copyright (c) 2023, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/library/tensor_operation_instance/gpu/conv_tensor_rearrange/device_image_to_column_instance.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
namespace
ck
{
namespace
tensor_operation
{
namespace
device
{
namespace
instance
{
using
namespace
ck
::
conv_tensor_rearrange_op
;
void
add_device_image_to_column_ndhwgc_3d_bf16_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
3
,
NDHWGC
,
BF16
,
BF16
,
ImageToColumn
>>>&
instances
)
{
#ifdef CK_ENABLE_BF16
add_device_operation_instances
(
instances
,
device_image_to_column_bf16_instances
<
3
,
NDHWGC
>
{});
#else
ignore
=
instances
;
#endif
}
void
add_device_image_to_column_ndhwgc_3d_f16_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
3
,
NDHWGC
,
F16
,
F16
,
ImageToColumn
>>>&
instances
)
{
#ifdef CK_ENABLE_FP16
add_device_operation_instances
(
instances
,
device_image_to_column_f16_instances
<
3
,
NDHWGC
>
{});
#else
ignore
=
instances
;
#endif
}
void
add_device_image_to_column_ndhwgc_3d_f32_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
3
,
NDHWGC
,
F32
,
F32
,
ImageToColumn
>>>&
instances
)
{
#ifdef CK_ENABLE_FP32
add_device_operation_instances
(
instances
,
device_image_to_column_f32_instances
<
3
,
NDHWGC
>
{});
#else
ignore
=
instances
;
#endif
}
void
add_device_image_to_column_ndhwgc_3d_i8_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
3
,
NDHWGC
,
int8_t
,
int8_t
,
ImageToColumn
>>>&
instances
)
{
#ifdef CK_ENABLE_INT8
add_device_operation_instances
(
instances
,
device_image_to_column_i8_instances
<
3
,
NDHWGC
>
{});
#else
ignore
=
instances
;
#endif
}
}
// namespace instance
}
// namespace device
}
// namespace tensor_operation
}
// namespace ck
library/src/tensor_operation_instance/gpu/image_to_column/device_image_to_column_nhwgc_2d_instance.cpp
0 → 100644
View file @
11279540
// SPDX-License-Identifier: MIT
// Copyright (c) 2023, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/library/tensor_operation_instance/gpu/conv_tensor_rearrange/device_image_to_column_instance.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
namespace
ck
{
namespace
tensor_operation
{
namespace
device
{
namespace
instance
{
using
namespace
ck
::
conv_tensor_rearrange_op
;
void
add_device_image_to_column_nhwgc_2d_bf16_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
2
,
NHWGC
,
BF16
,
BF16
,
ImageToColumn
>>>&
instances
)
{
#ifdef CK_ENABLE_BF16
add_device_operation_instances
(
instances
,
device_image_to_column_bf16_instances
<
2
,
NHWGC
>
{});
#else
ignore
=
instances
;
#endif
}
void
add_device_image_to_column_nhwgc_2d_f16_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
2
,
NHWGC
,
F16
,
F16
,
ImageToColumn
>>>&
instances
)
{
#ifdef CK_ENABLE_FP16
add_device_operation_instances
(
instances
,
device_image_to_column_f16_instances
<
2
,
NHWGC
>
{});
#else
ignore
=
instances
;
#endif
}
void
add_device_image_to_column_nhwgc_2d_f32_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
2
,
NHWGC
,
F32
,
F32
,
ImageToColumn
>>>&
instances
)
{
#ifdef CK_ENABLE_FP32
add_device_operation_instances
(
instances
,
device_image_to_column_f32_instances
<
2
,
NHWGC
>
{});
#else
ignore
=
instances
;
#endif
}
void
add_device_image_to_column_nhwgc_2d_i8_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
2
,
NHWGC
,
int8_t
,
int8_t
,
ImageToColumn
>>>&
instances
)
{
#ifdef CK_ENABLE_INT8
add_device_operation_instances
(
instances
,
device_image_to_column_i8_instances
<
2
,
NHWGC
>
{});
#else
ignore
=
instances
;
#endif
}
}
// namespace instance
}
// namespace device
}
// namespace tensor_operation
}
// namespace ck
library/src/tensor_operation_instance/gpu/image_to_column/device_image_to_column_nwgc_1d_instance.cpp
0 → 100644
View file @
11279540
// SPDX-License-Identifier: MIT
// Copyright (c) 2023, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/library/tensor_operation_instance/gpu/conv_tensor_rearrange/device_image_to_column_instance.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
namespace
ck
{
namespace
tensor_operation
{
namespace
device
{
namespace
instance
{
using
namespace
ck
::
conv_tensor_rearrange_op
;
void
add_device_image_to_column_nwgc_1d_bf16_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
1
,
NWGC
,
BF16
,
BF16
,
ImageToColumn
>>>&
instances
)
{
#ifdef CK_ENABLE_BF16
add_device_operation_instances
(
instances
,
device_image_to_column_bf16_instances
<
1
,
NWGC
>
{});
#else
ignore
=
instances
;
#endif
}
void
add_device_image_to_column_nwgc_1d_f16_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
1
,
NWGC
,
F16
,
F16
,
ImageToColumn
>>>&
instances
)
{
#ifdef CK_ENABLE_FP16
add_device_operation_instances
(
instances
,
device_image_to_column_f16_instances
<
1
,
NWGC
>
{});
#else
ignore
=
instances
;
#endif
}
void
add_device_image_to_column_nwgc_1d_f32_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
1
,
NWGC
,
F32
,
F32
,
ImageToColumn
>>>&
instances
)
{
#ifdef CK_ENABLE_FP32
add_device_operation_instances
(
instances
,
device_image_to_column_f32_instances
<
1
,
NWGC
>
{});
#else
ignore
=
instances
;
#endif
}
void
add_device_image_to_column_nwgc_1d_i8_instances
(
std
::
vector
<
std
::
unique_ptr
<
DeviceConvTensorRearrange
<
1
,
NWGC
,
int8_t
,
int8_t
,
ImageToColumn
>>>&
instances
)
{
#ifdef CK_ENABLE_INT8
add_device_operation_instances
(
instances
,
device_image_to_column_i8_instances
<
1
,
NWGC
>
{});
#else
ignore
=
instances
;
#endif
}
}
// namespace instance
}
// namespace device
}
// namespace tensor_operation
}
// namespace ck
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