1. 21 Sep, 2023 1 commit
    • Illia Silin's avatar
      Refactoring cmake files to build data types separately. (#932) · bba085d2
      Illia Silin authored
      * refactor cmake files for the tests
      
      * refactor cmake files for examples
      
      * fix cmake for gemm example
      
      * fix the cmake file for all examples
      
      * add splitting by data types in gemm_splitk instance header
      
      * rename test to reflect only dl instances are used
      
      * clean up CI workspace, update cmake for instances
      
      * change the jenkinsfile syntax
      
      * build all instances except DL on gfx11
      
      * move workspace cleanup after stages
      
      * clean up workspace after every stage
      
      * isolate data types in grouped_conv_fwd header
      
      * isolate dl instances for grouped_conv2d_fwd
      
      * fix syntax
      
      * fix cmake and batchnorm instances
      
      * fix typo
      
      * fix reduction instances
      
      * fix grouped_conv headers
      
      * fix syntax
      
      * replace parsing logic for instances, replace bfp16 with bf16
      
      * fix the client examples build
      
      * clean up DTYPES from instances cmake files
      
      * update the parsing logic in cmake files
      
      * make an exception for reduction kernels
      
      * update few remaining cmake files to handle DTYPES
      
      * fix syntax
      
      * fix cmake conflicts
      
      * replace f8 with fp8 test name
      
      * resolve conflicts for dpp instances
      bba085d2
  2. 07 Aug, 2023 1 commit
    • 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
  3. 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
  4. 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
  5. 31 May, 2023 1 commit
  6. 23 May, 2023 1 commit
    • Illia Silin's avatar
      Enable gemm_dl and other kernels on Navi3x. (#714) · d821d1e5
      Illia Silin authored
      * enable dl kernels on navi3
      
      * do not build xdl tests and examples on Navi
      
      * run tests before building everything on jenkins
      
      * disable gemm_bilinear on gfx1030
      
      * add gpu targets to installer on Navi
      
      * put tests in the same order as before
      
      * reduce the number of navi targets in CI
      
      * build CI installed for gfx940 as well
      
      * only build for MI300 during QA runs
      d821d1e5
  7. 15 Mar, 2023 1 commit
    • rocking5566's avatar
      gemm/Conv xdlops + dlops quantization (#625) · 16dc18e0
      rocking5566 authored
      
      
      * Add conv perlayer quantization
      
      * Add gemm_dlops quantization
      
      * Support int8 for innerproduct
      
      * Refine gemm dlops int8 kernel parameter
      
      * Support gfx908(MI100) and gfx90a(MI200)
      
      * clang-format
      
      * Rename example number
      
      * Support different layout for d tensor
      
      * Add conv dlops perchannel quantization example
      
      * Move to example 40
      
      * Extract the common code for different platform (dlops and xdlops)
      
      * Move ot subfolder. Prepare to add other op of quantization
      
      * Refine the quantization instance library
      
      * Add conv dl instances and client example
      
      * Remove unnecessary type
      
      * Add gemm quantization instance
      
      * Add external api and client example
      
      * Refine num_bytes
      
      * Separete different layout to different cpp
      
      * Add more xdl instances
      
      * Revert "Remove unnecessary type"
      
      This reverts commit 820869182f6a8f62b2c9004101ba6bf76b96be14.
      
      * Remove CShuffleDataType in dlops
      Let acc and CShuffleDataType be the same in xdlops
      
      ---------
      Co-authored-by: default avatarzjing14 <zhangjing14@gmail.com>
      16dc18e0
  8. 30 Nov, 2022 1 commit
    • rocking5566's avatar
      gemm, conv perchannel quantization (#503) · ad541ad6
      rocking5566 authored
      * Use gemm_multiple_D instead
      
      * Add gemm bias relu quantization example
      
      * Add pure gemm quantization example
      
      * Add quantization of perchannel conv + bias + relu example
      
      * Refine the code
      
      * Rename multiplier to requant_scale
      
      * Rename the folder
      
      * Remove redundant comment
      
      * Rename the file. Prepare to add perchannel
      
      * Add conv perchannel instance
      
      * Move to quantization folder
      
      * Add conv perchannel client example
      
      * Apply Rangify constructor of HostTensorDescriptor & Tensor<>
      
      * Fix merge error
      ad541ad6