Skip to content

GitLab

Unverified Commit c8a8385f authored by Jun Liu's avatar Jun Liu Committed by GitHub
Browse files

[HotFix] add config and version files to pass on build info (#856) 

* experiment with config file

* experiment with version.h config

* add more info to version.h

* minor updates

* minor updates

* fix case where DTYPE is not used

* large amount of files but minor changes

* remove white space

* minor changes to add more MACROs

* fix cmakedefine01

* fix issue with CK internal conflict

* fix define and define value

* fix clang-format

* fix formatting issue

* experiment with cmake

* clang format v12 to be consistent with miopen

* avoid clang-format for config file
parent 350d64f3
Show whitespace changes
Inline Side-by-side
Showing with 120 additions and 83 deletions
include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_d_xdl_cshuffle.hpp
View file @ c8a8385f
......@@ -89,8 +89,8 @@ struct GridwiseGemmMultipleD_xdl_cshuffle
using ThisThreadBlock = ThisThreadBlock<BlockSize>;
using GridwiseGemmPipe = remove_cvref_t<decltype(
GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage, LoopSched>())>;
using GridwiseGemmPipe = remove_cvref_t<
decltype(GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage, LoopSched>())>;
// denorm test fix, required to work around fp16 mfma issue
// we convert fp16->fp32->bf16 and execute bf16 mfma instruction
......
include/ck/tensor_operation/gpu/grid/gridwise_gemm_reduce_xdl_cshuffle_v1.hpp
View file @ c8a8385f
......@@ -164,8 +164,8 @@ struct GridwiseGemmReduce_k0mk1_k0nk1_mn_xdl_cshuffle_v1
using ThisThreadBlock = ThisThreadBlock<BlockSize>;
using GridwiseGemmPipe = remove_cvref_t<decltype(
GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage>())>;
using GridwiseGemmPipe = remove_cvref_t<
decltype(GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage>())>;
__host__ __device__ static constexpr auto GetABlockDescriptor_AK0PerBlock_MPerBlock_AK1()
{
......@@ -318,8 +318,9 @@ struct GridwiseGemmReduce_k0mk1_k0nk1_mn_xdl_cshuffle_v1
c_grid_desc_m_n);
}
using CGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock = remove_cvref_t<decltype(
MakeCGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(CGridDesc_M_N{}))>;
using CGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock =
remove_cvref_t<decltype(MakeCGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(
CGridDesc_M_N{}))>;
using ReduceGridDescriptor_MBlock_MPerBlock =
remove_cvref_t<decltype(MakeReduceGridDescriptor_MBlock_MPerBlock(ReduceGridDesc_M{}))>;
......
include/ck/tensor_operation/gpu/grid/gridwise_gemm_split_k_multiple_d_xdl_cshuffle.hpp
View file @ c8a8385f
......@@ -375,10 +375,12 @@ struct GridwiseGemmSplitKMultipleD_xdl_cshuffle
remove_cvref_t<decltype(MakeDefaultAGridDescriptor_AKB_AK0_M_AK1(AGridDesc_M_K{}, 1))>;
using DefaultBGridDesc_BK0_N_BK1 =
remove_cvref_t<decltype(MakeDefaultBGridDescriptor_BKB_BK0_N_BK1(BGridDesc_N_K{}, 1))>;
using EGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock = remove_cvref_t<decltype(
MakeEGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(EGridDesc_M_N{}))>;
using DsGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock = remove_cvref_t<decltype(
MakeDsGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(DsGridDesc_M_N{}))>;
using EGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock =
remove_cvref_t<decltype(MakeEGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(
EGridDesc_M_N{}))>;
using DsGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock =
remove_cvref_t<decltype(MakeDsGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(
DsGridDesc_M_N{}))>;
using DefaultBlock2ETileMap =
remove_cvref_t<decltype(MakeDefaultBlock2ETileMap(EGridDesc_M_N{}, 1))>;
......
include/ck/tensor_operation/gpu/grid/gridwise_gemm_wmma.hpp
View file @ c8a8385f
......@@ -138,8 +138,8 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_wmma
using ThisThreadBlock = ThisThreadBlock<BlockSize>;
using GridwiseGemmPipe = remove_cvref_t<decltype(
GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage, LoopSched>())>;
using GridwiseGemmPipe = remove_cvref_t<
decltype(GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage, LoopSched>())>;
__host__ __device__ static constexpr auto GetABlockDescriptor_K0PerBlock_MPerBlock_K1()
{
......@@ -308,8 +308,9 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_wmma
c_grid_desc_m_n);
}
using CGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock = remove_cvref_t<decltype(
MakeCGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(CGridDesc_M_N{}))>;
using CGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock =
remove_cvref_t<decltype(MakeCGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(
CGridDesc_M_N{}))>;
using DefaultBlock2CTileMap =
remove_cvref_t<decltype(MakeDefaultBlock2CTileMap(CGridDesc_M_N{}, 1, 1))>;
......
include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_cshuffle_v1.hpp
View file @ c8a8385f
......@@ -491,8 +491,8 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdl_cshuffle_v1
};
// FIXME: pass GridwiseGemmPipe as a template arguement into GridwiseGemm
using GridwiseGemmPipe = remove_cvref_t<decltype(
GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage, LoopSched>())>;
using GridwiseGemmPipe = remove_cvref_t<
decltype(GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage, LoopSched>())>;
__device__ static constexpr auto GetABlockDescriptor_AK0PerBlock_MPerBlock_AK1()
{
......
include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_layernorm_cshuffle_v1.hpp
View file @ c8a8385f
......@@ -173,8 +173,8 @@ struct GridwiseGemmLayernorm_k0mk1_k0nk1_mn_xdl_cshuffle_v1
using ThisThreadBlock = ThisThreadBlock<BlockSize>;
using GridwiseGemmPipe = remove_cvref_t<decltype(
GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage>())>;
using GridwiseGemmPipe = remove_cvref_t<
decltype(GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage>())>;
__host__ __device__ static constexpr auto GetABlockDescriptor_AK0PerBlock_MPerBlock_AK1()
{
......@@ -345,8 +345,9 @@ struct GridwiseGemmLayernorm_k0mk1_k0nk1_mn_xdl_cshuffle_v1
c_grid_desc_m_n);
}
using CGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock = remove_cvref_t<decltype(
MakeCGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(CGridDesc_M_N{}))>;
using CGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock =
remove_cvref_t<decltype(MakeCGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(
CGridDesc_M_N{}))>;
using C0GridDescriptor_NBlock_NPerBlock =
remove_cvref_t<decltype(MakeC0GridDescriptor_NBlock_NPerBlock(C0GridDesc_N{}))>;
......
include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_waveletmodel_cshuffle.hpp
View file @ c8a8385f
......@@ -330,8 +330,9 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdl_waveletmodel_cshuffle
return e_grid_desc_mblock_mperblock_nblock_nperblock;
}
using EGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock = remove_cvref_t<decltype(
MakeEGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(EGridDesc_M_N{}))>;
using EGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock =
remove_cvref_t<decltype(MakeEGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(
EGridDesc_M_N{}))>;
using DefaultBlock2ETileMap =
remove_cvref_t<decltype(MakeDefaultBlock2ETileMap(EGridDesc_M_N{}))>;
......
include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_bwd_weight.hpp
View file @ c8a8385f
......@@ -259,8 +259,8 @@ struct GridwiseGemm_bk0mk1_bk0nk1_mn_xdlops_bwd_weight
using ThisThreadBlock = ThisThreadBlock<BlockSize>;
using GridwiseGemmPipe = remove_cvref_t<decltype(
GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage>())>;
using GridwiseGemmPipe = remove_cvref_t<
decltype(GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage>())>;
// denorm test fix, required to work around fp16 mfma issue
// we convert fp16->fp32->bf16 and execute bf16 mfma instruction
......
include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v2r3.hpp
View file @ c8a8385f
......@@ -247,8 +247,8 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v2r3
FloatC* p_c_grid;
};
using GridwiseGemmPipe = remove_cvref_t<decltype(
GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage, LoopSched>())>;
using GridwiseGemmPipe = remove_cvref_t<
decltype(GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage, LoopSched>())>;
// denorm test fix, required to work around fp16 mfma issue
// we convert fp16->fp32->bf16 and execute bf16 mfma instruction
......
include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v2r4r2.hpp
View file @ c8a8385f
......@@ -110,8 +110,8 @@ struct GridwiseGemm_bk0mk1_bk0nk1_mn_xdlops_v2r4r2
using ThisThreadBlock = ThisThreadBlock<BlockSize>;
using GridwiseGemmPipe = remove_cvref_t<decltype(
GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage, LoopSched>())>;
using GridwiseGemmPipe = remove_cvref_t<
decltype(GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage, LoopSched>())>;
struct Argument : public ck::tensor_operation::device::BaseArgument
{
......
include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v3r1.hpp
View file @ c8a8385f
......@@ -139,8 +139,8 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v3r1
using ThisThreadBlock = ThisThreadBlock<BlockSize>;
using GridwiseGemmPipe = remove_cvref_t<decltype(
GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage>())>;
using GridwiseGemmPipe = remove_cvref_t<
decltype(GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage>())>;
__host__ __device__ static constexpr auto GetABlockDescriptor_AK0PerBlock_MPerBlock_AK1()
{
......@@ -315,8 +315,8 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v3r1
c_grid_desc_m_n);
}
using CGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl =
remove_cvref_t<decltype(
MakeCGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl(
remove_cvref_t<
decltype(MakeCGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl(
CGridDesc_M_N{}))>;
using DefaultBlock2CTileMap =
......@@ -634,10 +634,8 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v3r1
Sequence<0, 1, 2, 3, 4, 5>, // typename ThreadClusterArrangeOrder,
FloatCShuffle, // typename SrcData,
FloatC, // typename DstData,
decltype(
c_block_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
decltype(
c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
decltype(c_block_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
decltype(c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
Sequence<0, 1, 2, 3, 4, 5>, // typename DimAccessOrder,
5, // index_t VectorDim,
CBlockTransferScalarPerVector_NWaveNPerXdl, // index_t ScalarPerVector,
......
include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v3r2.hpp
View file @ c8a8385f
......@@ -142,8 +142,8 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v3r2
using ThisThreadBlock = ThisThreadBlock<BlockSize>;
using GridwiseGemmPipe = remove_cvref_t<decltype(
GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage>())>;
using GridwiseGemmPipe = remove_cvref_t<
decltype(GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage>())>;
__host__ __device__ static constexpr auto GetABlockDescriptor_K0PerBlock_MPerBlock_K1()
{
......@@ -323,13 +323,13 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v3r2
}
using CGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl =
remove_cvref_t<decltype(
MakeCGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl(
remove_cvref_t<
decltype(MakeCGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl(
CGridDesc_M_N{}))>;
using C0GridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl =
remove_cvref_t<decltype(
MakeCGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl(
remove_cvref_t<
decltype(MakeCGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl(
C0GridDesc_M_N{}))>;
using DefaultBlock2CTileMap =
......@@ -654,12 +654,9 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v3r2
FloatC, // typename Src0Data,
FloatC, // typename Src1Data,
FloatC, // typename DstData,
decltype(
c_block_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
decltype(
c0_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
decltype(
c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
decltype(c_block_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
decltype(c0_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
decltype(c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
Sequence<0, 1, 2, 3, 4, 5>, // typename DimAccessOrder,
5, // index_t VectorDim,
CBlockTransferScalarPerVector_NWaveNPerXdl, // index_t ScalarPerVector,
......
include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v3r3.hpp
View file @ c8a8385f
......@@ -151,8 +151,8 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v3r3
using ThisThreadBlock = ThisThreadBlock<BlockSize>;
using GridwiseGemmPipe = remove_cvref_t<decltype(
GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage>())>;
using GridwiseGemmPipe = remove_cvref_t<
decltype(GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage>())>;
__host__ __device__ static constexpr auto GetABlockDescriptor_K0PerBlock_MPerBlock_K1()
{
......@@ -331,18 +331,18 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v3r3
c_grid_desc_m_n);
}
using CGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl =
remove_cvref_t<decltype(
MakeCGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl(
remove_cvref_t<
decltype(MakeCGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl(
CGridDesc_M_N{}))>;
using C0GridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl =
remove_cvref_t<decltype(
MakeCGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl(
remove_cvref_t<
decltype(MakeCGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl(
C0GridDesc_M_N{}))>;
using C1GridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl =
remove_cvref_t<decltype(
MakeCGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl(
remove_cvref_t<
decltype(MakeCGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl(
C1GridDesc_M_N{}))>;
using DefaultBlock2CTileMap =
......@@ -674,14 +674,10 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v3r3
FloatC, // typename Src1Data,
FloatC, // typename Src2Data,
FloatC, // typename DstData,
decltype(
c_block_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
decltype(
c0_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
decltype(
c1_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
decltype(
c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
decltype(c_block_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
decltype(c0_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
decltype(c1_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
decltype(c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
Sequence<0, 1, 2, 3, 4, 5>, // typename DimAccessOrder,
5, // index_t VectorDim,
CBlockTransferScalarPerVector_NWaveNPerXdl, // index_t ScalarPerVector,
......
include/ck/tensor_operation/gpu/grid/gridwise_sparse_embeddings_forward_layernorm.hpp
View file @ c8a8385f
......@@ -78,8 +78,8 @@ struct GridwiseSparseEmbeddingsForwardLayernorm
using ThreadwiseWolfordDesc2D = decltype(make_naive_tensor_descriptor_packed(make_tuple(
Number<DimSubBlocks * DimThreadSize>{}, Number<RowSubBlocks * RowVectorSize>{})));
using ThreadwiseWolfordDescReduce = decltype(
make_naive_tensor_descriptor_packed(make_tuple(Number<DimSubBlocks * DimThreadSize>{})));
using ThreadwiseWolfordDescReduce = decltype(make_naive_tensor_descriptor_packed(
make_tuple(Number<DimSubBlocks * DimThreadSize>{})));
using ThreadwiseWelford =
ThreadwiseWelford<AccDataType, ThreadwiseWolfordDesc2D, ThreadwiseWolfordDescReduce>;
......
include/ck/version.h.in 0 → 100644
View file @ c8a8385f
/*******************************************************************************
*
* MIT License
*
* Copyright (c) 2023 Advanced Micro Devices, Inc.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*
*******************************************************************************/
/* the configured version and settings for miopen- Composable Kernel */
#ifndef CK_VERSION_H_
#define CK_VERSION_H_
// clang-format off
#define CK_VERSION @CMAKE_PROJECT_VERSION@
#define CK_VERSION_MAJOR @CMAKE_PROJECT_VERSION_MAJOR@
#define CK_VERSION_MINOR @CMAKE_PROJECT_VERSION_MINOR@
#define CK_VERSION_PATCH @CMAKE_PROJECT_VERSION_PATCH@
#define CK_COMMIT_ID @COMMIT_ID@
// clang-format on
#endif
library/include/ck/library/tensor_operation_instance/gpu/batched_gemm.hpp
View file @ c8a8385f
......@@ -16,7 +16,7 @@ namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {
#ifdef __bf16__
#ifdef CK_ENABLE_BF16
void add_device_batched_gemm_xdl_bf16_bf16_bf16_gkm_gkn_gmn_instances(
std::vector<std::unique_ptr<
DeviceBatchedGemm<Col, Row, Row, BF16, BF16, BF16, PassThrough, PassThrough, PassThrough>>>&
......@@ -37,7 +37,7 @@ void add_device_batched_gemm_xdl_bf16_bf16_bf16_gmk_gnk_gmn_instances(
DeviceBatchedGemm<Row, Col, Row, BF16, BF16, BF16, PassThrough, PassThrough, PassThrough>>>&
instances);
#endif
#ifdef __fp16__
#ifdef CK_ENABLE_FP16
void add_device_batched_gemm_xdl_f16_f16_f16_gkm_gkn_gmn_instances(
std::vector<std::unique_ptr<
DeviceBatchedGemm<Col, Row, Row, F16, F16, F16, PassThrough, PassThrough, PassThrough>>>&
......@@ -58,7 +58,7 @@ void add_device_batched_gemm_xdl_f16_f16_f16_gmk_gnk_gmn_instances(
DeviceBatchedGemm<Row, Col, Row, F16, F16, F16, PassThrough, PassThrough, PassThrough>>>&
instances);
#endif
#ifdef __fp32__
#ifdef CK_ENABLE_FP32
void add_device_batched_gemm_xdl_f32_f32_f32_gkm_gkn_gmn_instances(
std::vector<std::unique_ptr<
DeviceBatchedGemm<Col, Row, Row, F32, F32, F32, PassThrough, PassThrough, PassThrough>>>&
......@@ -79,7 +79,7 @@ void add_device_batched_gemm_xdl_f32_f32_f32_gmk_gnk_gmn_instances(
DeviceBatchedGemm<Row, Col, Row, F32, F32, F32, PassThrough, PassThrough, PassThrough>>>&
instances);
#endif
#ifdef __int8__
#ifdef CK_ENABLE_INT8
void add_device_batched_gemm_xdl_int8_int8_int8_gkm_gkn_gmn_instances(
std::vector<std::unique_ptr<DeviceBatchedGemm<Col,
Row,
......@@ -154,7 +154,7 @@ struct DeviceOperationInstanceFactory<ck::tensor_operation::device::DeviceBatche
static auto GetInstances()
{
std::vector<std::unique_ptr<DeviceOp>> op_ptrs;
#ifdef __fp32__
#ifdef CK_ENABLE_FP32
if constexpr(is_same_v<ADataType, float> && is_same_v<BDataType, float> &&
is_same_v<CDataType, float>)
{
......@@ -180,7 +180,7 @@ struct DeviceOperationInstanceFactory<ck::tensor_operation::device::DeviceBatche
}
}
#endif
#ifdef __fp16__
#ifdef CK_ENABLE_FP16
if constexpr(is_same_v<ADataType, half_t> && is_same_v<BDataType, half_t> &&
is_same_v<CDataType, half_t>)
{
......@@ -206,7 +206,7 @@ struct DeviceOperationInstanceFactory<ck::tensor_operation::device::DeviceBatche
}
}
#endif
#ifdef __bf16__
#ifdef CK_ENABLE_BF16
if constexpr(is_same_v<ADataType, bhalf_t> && is_same_v<BDataType, bhalf_t> &&
is_same_v<CDataType, bhalf_t>)
{
......@@ -232,7 +232,7 @@ struct DeviceOperationInstanceFactory<ck::tensor_operation::device::DeviceBatche
}
}
#endif
#ifdef __int8__
#ifdef CK_ENABLE_INT8
if constexpr(is_same_v<ADataType, int8_t> && is_same_v<BDataType, int8_t> &&
is_same_v<CDataType, int8_t>)
{
......
library/include/ck/library/tensor_operation_instance/gpu/batched_gemm_add_relu_gemm_add.hpp
View file @ c8a8385f
......@@ -14,7 +14,7 @@
using CDE0ElementOp = ck::tensor_operation::element_wise::AddRelu;
using CDE1ElementOp = ck::tensor_operation::element_wise::Add;
#ifdef __fp16__
#ifdef CK_ENABLE_FP16
namespace ck {
namespace tensor_operation {
namespace device {
......
library/include/ck/library/tensor_operation_instance/gpu/batched_gemm_bias_permute.hpp
View file @ c8a8385f
......@@ -13,7 +13,7 @@
#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
#include "ck/library/tensor_operation_instance/device_operation_instance_factory.hpp"
#ifdef __fp16__
#ifdef CK_ENABLE_FP16
namespace ck {
namespace tensor_operation {
namespace device {
......
library/include/ck/library/tensor_operation_instance/gpu/batched_gemm_bias_softmax_gemm_permute.hpp
View file @ c8a8385f
......@@ -16,7 +16,7 @@ namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {
#ifdef __fp16__
#ifdef CK_ENABLE_FP16
void add_device_batched_gemm_bias_masking_softmax_gemm_permute_xdl_cshuffle_f16_f16_f16_f16_gmk_gnk_gno_gmo_instances(
std::vector<std::unique_ptr<
DeviceBatchedGemmSoftmaxGemmPermute<2,
......@@ -59,7 +59,7 @@ void add_device_batched_gemm_bias_softmax_gemm_permute_xdl_cshuffle_f16_f16_f16_
MaskingSpecialization::MaskDisabled>>>&
instances);
#endif
#ifdef __bf16__
#ifdef CK_ENABLE_BF16
void add_device_batched_gemm_bias_masking_softmax_gemm_permute_xdl_cshuffle_bf16_bf16_bf16_bf16_gmk_gnk_gno_gmo_instances(
std::vector<std::unique_ptr<
DeviceBatchedGemmSoftmaxGemmPermute<2,
......@@ -148,7 +148,7 @@ struct DeviceOperationInstanceFactory<
static auto GetInstances()
{
std::vector<std::unique_ptr<DeviceOp>> op_ptrs;
#ifdef __fp16__
#ifdef CK_ENABLE_FP16
if constexpr(is_same_v<ADataType, half_t> && is_same_v<B0DataType, half_t> &&
is_same_v<B1DataType, half_t> && is_same_v<CDataType, half_t> &&
Acc0BiasDataType::Size() == 1 &&
......@@ -166,7 +166,7 @@ struct DeviceOperationInstanceFactory<
}
}
#endif
#ifdef __bf16__
#ifdef CK_ENABLE_BF16
else if constexpr(is_same_v<ADataType, BF16> && is_same_v<B0DataType, BF16> &&
is_same_v<B1DataType, BF16> && is_same_v<CDataType, BF16> &&
Acc0BiasDataType::Size() == 1 &&
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment