1. 27 Oct, 2023 1 commit
    • carlushuang's avatar
      support batch & nhead, and scale (#20) · 95889861
      carlushuang authored
      * support batch & nhead
      
      * support scale
      
      * tile scheduler
      
      * rename tile-scheduler to tile-partitioner
      
      * add some exp2 math
      
      * fix a bug when chaning tile size
      95889861
  2. 19 Oct, 2023 3 commits
  3. 18 Oct, 2023 1 commit
    • Po Yen Chen's avatar
      Pre-compute coordinates to speed up store_tile() for TileWindowWithStaticDistribution<> (#12) · 63bc96e3
      Po Yen Chen authored
      
      
      * Extract store_tile() logics as method
      
      * Extract load_tile() logics as method
      
      * Rename type alias
      
      * Extract common logics as traits
      
      * Remove unnecessary access specifier
      
      * Add ComputeMode for TileWindowWithStaticDistribution
      
      * Put field check into Traits
      
      * More definition of Traits types
      
      * Use more clear static_assert() message
      
      * Enable pre-compute coordinates in store_tile()
      
      * Re-formate static assert
      
      * Undo changes to the wrong method
      
      * Enable pre-compute coords for store_tile()
      
      * Remove static_vector usage
      
      * Add method to move non-member coordinates
      
      * Force using pre-computed coordinates in Store()
      
      * Fix wrong access for SFC_Ys
      
      * Change comment
      
      * Allow users to hint # access per coord
      
      * Add comment for noting remove data members later
      
      * Unify FIXME comments
      
      * Replace FIXME comments by TODO
      
      * Let user specify HintNumCoords
      
      * clean
      
      * clean
      
      * clean
      
      * clean
      
      * refactor load/store for window
      
      * clean
      
      * clean
      
      * bug fix for window; clean
      
      ---------
      Co-authored-by: default avatarChao Liu <chao.liu2@amd.com>
      63bc96e3
  4. 12 Oct, 2023 2 commits
    • Chao Liu's avatar
      Refactor 1010 (#14) · 7337ec25
      Chao Liu authored
      * refactor
      
      * refactor
      
      * change load_tile, update block gemm
      
      * debug
      
      * clean
      
      * clean
      
      * experiment lod
      
      * workaround spilling issue
      
      * clean
      7337ec25
    • carlushuang's avatar
      slice kv, and use 3d padding LDS layout (#15) · 7b1a0b7f
      carlushuang authored
      * slice kv, and use 3d padding LDS layout
      
      * add missing sync
      
      * put sync to another poace
      
      * move sync place
      
      * revert to normal
      7b1a0b7f
  5. 06 Oct, 2023 1 commit
    • carlushuang's avatar
      add tensor slicing API (#7) · 6491acda
      carlushuang authored
      
      
      * add tensor slicing API
      
      * remove redundant ck namespace
      
      * better gemm_gemm interface
      
      * modify gemm_gemm
      
      * add slice_tile api
      
      * fix merge bug
      
      * update to 3d padding, since we no longer need that much LDS size
      
      * clean
      
      * cleang
      
      * clean
      
      * clean
      
      * clean
      
      * clean
      
      * clean
      
      * clean
      
      * clean
      
      * clean
      
      * clean
      
      * clean
      
      * clean
      
      * clean
      
      ---------
      Co-authored-by: default avatarChao Liu <chao.liu2@amd.com>
      6491acda
  6. 03 Oct, 2023 1 commit
    • Chao Liu's avatar
      Shuffle in thread (#13) · 1cf54e86
      Chao Liu authored
      * adding in-thread shuffle
      
      * update softmax example
      
      * refactor grid gemm
      
      * refactor gemm: layouts
      
      * bug fix
      
      * clean
      
      * clean
      1cf54e86
  7. 14 Sep, 2023 2 commits
  8. 13 Sep, 2023 1 commit
  9. 05 Sep, 2023 3 commits
  10. 31 Aug, 2023 2 commits
    • zjing14's avatar
      Grouped Gemm with Fixed K and N with SplitK (#818) · f5ec04f0
      zjing14 authored
      
      
      * move all arguments into device
      
      * add b2c_tile_map
      
      * add examples
      
      * add SetDeviceKernelArgs
      
      * dedicated fixed_nk solution
      
      * init client api
      
      * add grouped_gemm_bias example
      
      * add a instance
      
      * add instances
      
      * formatting
      
      * fixed cmake
      
      * Update EnableCompilerWarnings.cmake
      
      * Update cmake-ck-dev.sh
      
      * clean; fixed comments
      
      * fixed comment
      
      * add instances for fp32 output
      
      * add instances for fp32 output
      
      * add fp32 out client example
      
      * fixed CI
      
      * init commit for kbatch
      
      * add splitk gridwise
      
      * format
      
      * fixed
      
      * clean deviceop
      
      * clean code
      
      * finish splitk
      
      * fixed instances
      
      * change m_loops to tile_loops
      
      * add setkbatch
      
      * clean code
      
      * add splitK+bias
      
      * add instances
      
      * opt mk_nk instances
      
      * clean examples
      
      * fixed CI
      
      * remove zero
      
      * finished non-zero
      
      * clean
      
      * clean code
      
      * optimized global_barrier
      
      * fixed ci
      
      * fixed CI
      
      * removed AddBias
      
      * format
      
      * fixed CI
      
      * fixed CI
      
      * move 20_grouped_gemm to 21_grouped_gemm
      
      ---------
      Co-authored-by: default avatarJing Zhang <jizha@amd.com>
      f5ec04f0
    • rocking's avatar
      MaxPool & AvgPool bwd instances, test, ckProfiler, client example (#861) · 866377de
      rocking authored
      * Add maxpool instances
      
      * Rename index pool to max pool.
      
      * Add maxpool bwd bf16 instances
      
      * Add avg pool bwd instances
      
      * Rename avgpool and maxpool to avg_pool3d and max_pool
      
      * Add bf16 pool fwd instances
      
      * Add max pool bwd to ckProfiler
      
      * Add avg pool3d bwd to ckProfiler
      
      * Add avg pool bwd test
      
      * Fix bug of reference pool fwd (dilation)
      
      * Fix bug of max pool bwd  (dilation and initZero)
      
      * Support bf16 compute data type
      
      * Force compute type be f32. Because atomicAdd only support f32
      
      * Add max pool bwd test
      
      * Rename folder
      
      * Rename pool
      
      * Add max pool bwd client example
      
      * Add avg pool bwd client example
      
      * Add missing workspace
      
      * clang format
      
      * Rename macro
      
      * remove useless header
      
      * remove useless layout
      866377de
  11. 29 Aug, 2023 1 commit
  12. 23 Aug, 2023 1 commit
  13. 22 Aug, 2023 1 commit
  14. 14 Aug, 2023 2 commits
    • Bartlomiej Wroblewski's avatar
      d4c84256
    • rocking's avatar
      Refactor pool fwd (#815) · f60f0a5e
      rocking authored
      * Do not hardcode stride
      
      * devicePool2DFwd Inherit devicePool3DFwd
      
      * Move instance declaration out of common
      
      * Add dilation
      
      * use the pool3d rank, because pool2d inherit pooo3d
      
      * calculate Do Ho Wo for the dilation
      
      * Fix header name
      
      * Modify ckProfiler
      
      * Remove pool2d instance
      
      * Remove pool2d in profiler
      
      * Remove pool2d and add dilation
      
      * In to client example, this commit revise following:
      1. Add dilation.
      2. Use pool3d to implement pool2d
      
      * Refine naming and IsSupportedArgument()
      
      * Add dilation to maxpool bwd example
      
      * clang format
      
      * 1. Remove useless header
      2. Fix copyright
      3. Refine naming
      
      * Add layout parameter to pool fwd
      
      * clang format
      
      * Fix merge error
      
      * Fix compile error
      
      * Remove layout parameter in derived class
      
      * Refine changlog
      
      * Fix compile error
      
      * Fix compiler error
      
      * Add layout to external api and profiler
      f60f0a5e
  15. 10 Aug, 2023 1 commit
    • rocking's avatar
      Average pool backward deviceOP and example (#797) · 578142db
      rocking authored
      * Add avgpool bwd reference code
      
      * Refine naming
      
      * Fix invalid in_element op in ref_conv
      
      * Add example (only reference now)
      
      * Add the full example of avgpool bwd
      
      * Fix copyright
      
      * Imitate MakeDescriptor from  transform_conv_bwd_data_to_gemm_v1.hpp
      
      * rename channel to c from k
      
      * Arrange the code
      
      * Imitate the argument from conv bwd
      
      * Implement invoker
      
      * Fix order of parameter in example
      
      * Refactor reference code for different dimension
      
      * Support different stride
      
      * Check if argument is valid
      
      * Fix kernel parameter for NDHWC, fastest dimension C is not reduced
      
      * Add more data type in example
      
      * Fix bug in example
      
      * calculate Do Ho Wo according to the dilation
      
      * Remove useless header
      
      * Add comment in reference code
      
      * Add layout parameter
      
      * Remove layout in derived class
      
      * Refine reference comment
      578142db
  16. 09 Aug, 2023 1 commit
  17. 07 Aug, 2023 2 commits
    • Illia Silin's avatar
      Allow building CK for specific data types and split off last remaining DL instances. (#830) · 08eb1769
      Illia Silin authored
      * properly split conv_nd_bwd_data instances
      
      * split conv2d_fwd instance data types
      
      * split the gemm, conv2d_fwd and batched_gemm_softamx_gemm
      
      * split the tests by data types where possible
      
      * filter examples by DTYPES
      
      * split few remaining examples by DTYPES
      
      * filter most instances by DTYPES
      
      * add new lines at end of headers, fix grouped_gemm profiler
      
      * fix syntax
      
      * split the ckprofiler instances by DTYPES
      
      * split the conv2d and quantization DL and XDL instances
      
      * fix the splitting of conv2d DL instances
      
      * split softmax and pool_fwd tests for fp16 and fp32 types
      
      * fix syntax
      
      * fix the dl_int8 quantization instances isolation
      08eb1769
    • Bartłomiej Kocot's avatar
      Add wei_strides to grouped conv3d wei to keep consistency (#817) · 22443f7a
      Bartłomiej Kocot authored
      
      
      * Add wei_strides to grouped conv3d wei to keep consistency
      
      * Fix strides in client examples
      
      * Unify backward weight api with forward
      
      * Fix for example
      
      * Fixes for examples
      
      ---------
      Co-authored-by: default avatarzjing14 <zhangjing14@gmail.com>
      22443f7a
  18. 26 Jul, 2023 3 commits
  19. 25 Jul, 2023 1 commit
  20. 18 Jul, 2023 1 commit
    • Illia Silin's avatar
      Add mechanism to build CK for select data types, add Navi3x CI. (#790) · 189ea3b9
      Illia Silin authored
      * allow building CK for specific data types
      
      * add CI build and test stage on Naiv3x without some int8 instances
      
      * add missing gemm fp16 instances
      
      * add the changes to the missed cmake file
      
      * add empty lines at end of source files
      
      * Do not build quantization client example on navi3 in CI
      
      * disable batched_gemm_multi_d_int8 instances with DTYPES
      
      * disable device_conv2d_bwd_data_instance with DTYPES
      
      * fix ckprofiler for conv_bwd_data for int8
      
      * properly isolate the conv_bwd_data int8 instances
      
      * remove empty line
      189ea3b9
  21. 12 Jul, 2023 1 commit
  22. 06 Jul, 2023 2 commits
    • Qianfeng's avatar
      Batchnorm splitk single kernel (#771) · 8f5cafaf
      Qianfeng authored
      * Use dim 0 as faster dim for writing mean/var/count workspace in batchnorm multiblock method [performance]
      
      * Add CountDataType as template parameter in blockwise_welford
      
      * Add utility/get_shift.hpp
      
      * Add BatchNorm multiblock single-kernel implementation
      
      * Add smem inline assembly based implementation of gms_init/gms_barrier/gms_reset for gfx90a
      
      * Renaming in device_batchnorm_forward_impl.hpp
      
      * Tiny fix in the batchnorm_fwd profiler
      
      * Revert "Add smem inline assembly based implementation of gms_init/gms_barrier/gms_reset for gfx90a"
      
      This reverts commit d16d00919c43f10759e7b4e4d112125221ed9064.
      
      * Use the old two-kernel batchnorm multiblock method for gfx1030
      
      * Use the old two-kernel batchnorm multiblock method for gfx908
      
      * use the single-kernel batchnorm multiblock method only for gfx90a
      
      * Remove get_wave_id() from utility/get_id.hpp since it is not used
      
      * Set true for testing running mean/variance and saving mean/invvariance in the examples
      
      * Fix to copy-right words
      
      * Remove un-needed including in utility/get_id.hpp
      
      * Add comments to workgroup_synchronization.hpp
      
      * Remove un-used codes in gridwise_multiblock_batchnorm_forward.hpp
      
      * Renaming in the kernels
      
      * Remove un-used kernel file
      8f5cafaf
    • Adam Osewski's avatar
      f4dfc060
  23. 05 Jul, 2023 1 commit
  24. 19 Jun, 2023 2 commits
    • Illia Silin's avatar
      do not build gemm-gemm and conv-conv examples for gfx94* (#761) · 645eb2f2
      Illia Silin authored
      * do not build gemm-gemm and conv-conv examples for gfx94*
      
      * do not build gemm-gemm and conv-conv examples on navi
      645eb2f2
    • rocking's avatar
      Maxpool bwd (#750) · 341ad956
      rocking authored
      * Add maxpool f32 kernel and example
      
      * Revise copyright
      
      * Add device pool bwd device op
      
      * Support f16 and bf16
      
      * Add compute datatype for reference code.
      Prevent error in bf16
      
      * Fix type error
      
      * Remove layout
      
      * Fix bf16 error
      
      * Add f16 and bf16 example
      
      * Add more operations
      
      * Implement IsSupportedArgument
      
      * Add changelog
      
      * Add comment
      
      * Add comment
      
      * Remove useless header
      
      * Move initialize of workspace to the run
      
      * Move set din zero to the device operator
      
      * Save din_length_raw
      
      * Remove useless header
      
      * Calculate gridsize according to the number of CU
      
      * Calculate gridSize according to the number of CU.
      Remove useless header
      
      * Add put example
      
      * Remove useless header
      
      * Fix CI fail
      341ad956
  25. 15 Jun, 2023 1 commit
    • Illia Silin's avatar
      Enable gfx941 and gfx942 architectures. (#752) · 027e46ee
      Illia Silin authored
      * enable gfx941/942 targets
      
      * fix clang format
      
      * fix the cmake logic for multiple targets
      
      * fix cmake syntax for looping over targets
      
      * add gfx941/942 support for gemm_xdl instances
      027e46ee
  26. 12 Jun, 2023 1 commit
  27. 01 Jun, 2023 1 commit
    • Po Yen Chen's avatar
      Simplify kernel argument of device operator Device(Batched)GemmXdl<> (#723) · 9eae73df
      Po Yen Chen authored
      
      
      * Remove M/N/KPad local variables
      
      * Use M/N/KPad to name padded lengths
      
      * Replace duplicated local variable by parameters
      
      * Rename variables M/N/KRaw to M/N/K
      
      * Move AK0/BK0 compute logic into GridwiseGemm
      
      * Use macro to shorten code
      
      * Move CalculateGridSize() logic into GridwiseGemm
      
      * Add comment to credit the implementation source
      
      * Reuse the existing implementation
      
      * Remove no-longer used data members
      
      * Remove elementwise-op objects from interfaces
      
      * Reserve kernel arg as whole object in interfaces
      
      * Remove redundant data member
      
      * Make 3rd type parameter optional
      
      * Remove unnesscary type parameters
      
      * Remove no-longer used descriptor-creation methods
      
      * Move kernel arg type definition into GridwiseGemm
      
      * Add macro to switch between code sections
      
      * Move argument field computing logic into device op side
      
      * Make utility method 'static'
      
      * Declare special methods
      
      * Unify MakeArgument() usage
      
      * Adapt the new GridwiseGemm interface
      
      * Push-down class 'GridwiseGemm::Argument' fields
      
      * Remove no-longer used methods
      
      * Add unused parameters
      
      * Force copying parameters in 'Embed' ctor
      
      * Remove no-longer used descriptors
      
      * Fallback change on BaseArgument
      
      * Remove macro 'INTEGER_DIVIDE_CEIL'
      
      * Make variable naming more consistent
      
      * Make sure methods are only invoked on right place
      
      * Remove tailing underscore in public attribute name
      
      * Remove necessary methods
      
      * Hide computing logic of derived attributes
      
      * Make new 'Embed' ctor only available for device code
      
      * Make sure 'Embed' type args are not references
      
      * Move check for karg.K into CheckValidity()
      
      * Remove more integer division logic form device code
      
      * Undo changes on Embed
      
      * Separate 'Problem' concept out from 'Argument'
      
      * Add overloaded version of __builtin_amdgcn_readfirstlane()
      
      * Remove 'static' specifiers
      
      * Remove more 'static' specifier
      
      * Replace unsigne char by std::byte
      
      * Add 'const' specifier to never changing variable
      
      * Add 'inline' specifier to funcion definition
      
      * Share same name for kernel interfaces
      
      * Fix wrong boundar calculation logic
      
      * Leave the third template arg for compatibility
      
      * Remove unnecessary parameters
      
      * Fix wrong error message (for type name)
      
      * Create descriptor on device side
      
      * Fix wrong debug message
      
      * Remove no-longer used data members
      
      * Rename type trait
      
      * Remove std:: qualifier from standard types
      
      * Replace 'size_t' by 'unsigned'
      
      * Use type alias to hint usage
      
      * Replace static_for<> by ordinary 'for' loop
      
      * Reject unsupported argument
      
      * Rename readfirstlane() to amd_wave_read_first_lane()
      
      * Rename file readfirstlance.hpp as amd_wave_read_first_lane.hpp
      
      * Update function calls
      
      * Reorder statements
      
      * Re-format files
      
      ---------
      Co-authored-by: default avatarzjing14 <zhangjing14@gmail.com>
      9eae73df