"examples/offline_inference/batch_llm_inference.py" did not exist on "cdda292058947cfd2fdb7fb0835fae30d77868d4"
  1. 07 Apr, 2022 1 commit
  2. 05 Apr, 2022 1 commit
    • Adam Osewski's avatar
      Common forward convolution utility refactor. (#141) · abf4bdb9
      Adam Osewski authored
      
      
      * Convolution ND
      
      * Code unification across dimensions for generating tensor descriptors.
      * Example
      * Instances
      
      * Move convnd f32 instance file to comply with repo structure.
      
      * Conv 1D tensor layouts.
      
      * Formatting and use ReferenceConv
      
      * Reference ConvFwd supporting 1D and 2D convolution.
      
      * Debug printing TensorLayout name.
      
      * Conv fwd 1D instance f32
      
      * Refactor conv ND example.
      
      Needed to support various conv dimensio.
      
      Needed to support various conv dimensions
      
      * Rename conv nd example director to prevent conflicts.
      
      * Refactor some common utility to single file.
      
      Plus some tests.
      
      * Refactor GetHostTensorDescriptor + UT.
      
      * Add 1D test case.
      
      * Test reference convolution 1d/2d
      
      * Remove some leftovers.
      
      * Fix convolution example error for 1D
      
      * Refactor test check errors utility function.
      
      * Test Conv2D Fwd XDL
      
      * More UT for 1D case.
      
      * Parameterize input & weight initializers.
      
      * Rename example to prevent conflicts.
      
      * Split convnd instance into separate files for 1d/2d
      
      * Address review comments.
      
      * Fix data type for flops/gbytes calculations.
      
      * Assign example number 11.
      
      * 3D cases for convolution utility functions.
      
      * 3D reference convolution.
      
      * Add support for 3D convolution.
      
      * Check for inputs bigger than  2GB.
      
      * Formatting
      
      * Support for bf16/f16/f32/i8 - conv instances + UT.
      
      * Use check_err from test_util.hpp.
      
      * Split convnd test into separate files for each dim.
      
      * Fix data generation and use proper instances.
      
      * Formatting
      
      * Skip tensor initialization if not necessary.
      
      * Fix CMakefiles.
      
      * Remove redundant conv2d_fwd test.
      
      * Lower problem size for conv3D UT.
      
      * 3D case for convnd example.
      
      * Remove leftovers after merge.
      
      * Add Conv Specialization string to GetTypeString
      
      * Skip instance causing numerical errors.
      
      * Small fixes.
      
      * Remove redundant includes.
      
      * Fix namespace name error.
      
      * Script for automatic testing and logging convolution fwd UTs
      
      * Comment out numactl cmd.
      
      * Refine weights initalization and relax rtol for fp16
      
      * Move test_util.hpp to check_err.hpp
      
      * Refine weights initalization and relax rtol for fp16
      
      * Refactor common part of test conv utils.
      
      * Move utility function to single common place.
      
      * Add additional common functions to utility.
      
      * Refactor convnd_fwd_xdl examples.
      
      * Remove redundant files.
      * Unify structure.
      
      * Add constructor to ConvParams.
      
      * And add input parameters validation.
      
      * Modify conv examples to use single utility file.
      
      * Remove check_error from host_tensor.hpp
      
      * Get rid of check_indices function.
      
      * Remove bf16_to_f32 function overload for scalars.
      
      * Fix namespace.
      
      * Add half_float::half for check_err.
      
      * Fix conv params size in UT.
      
      * Fix weights initialization for int8.
      
      * Fix weights initialization for int8.
      
      * Add type_convert when store output in ref conv 1D.
      
      * Get back old conv2d_fwd_xdl operation.
      
      * Silence conv debug print.
      
      * format
      
      * clean
      
      * clean
      
      * Fix merge.
      
      * Fix namespace for check_err
      
      * Formatting.
      
      * Fix merge artifacts.
      
      * Remove deleted header.
      
      * Fix some includes and use ck::utils::check_err.
      
      * Remove unused check_indices restored by previous merge.
      
      * Fix namespaces after merge.
      
      * Fix compilation error.
      
      * Small fixes.
      
      * Use common functions.
      * Fix filename
      * Fix namespaces.
      
      * Fix merge artifact - retrieve removed by accident fun.
      
      * Fix ConvForwardSpecialization.
      
      * Adhere to coding style rules.
      
      * Fix merge artifacts.
      Co-authored-by: default avatarAdam Osewski <aosewski@amd.com>
      Co-authored-by: default avatarChao Liu <chao.liu2@amd.com>
      abf4bdb9
  3. 31 Mar, 2022 2 commits
  4. 30 Mar, 2022 1 commit
    • Jianfeng Yan's avatar
      Batched gemm and reduction (#156) · 34c661e7
      Jianfeng Yan authored
      * adding batched_gemm_and_reduction
      
      * batched_gemm_reduce works with bactch_count=1
      
      * fix a bug in grid_size; batched_gemm_reduce works for batch_count > 1
      
      * adding profiler for batched_gemm_fp16
      
      * fixed a bug in declaration of d1 and d0; both example and profiler work
      
      * clang-format
      
      * cleanup
      
      * batched_gemm_reduce: add test
      
      * minor change
      
      * fixed some typo in function names
      34c661e7
  5. 22 Mar, 2022 1 commit
  6. 21 Mar, 2022 1 commit
  7. 11 Feb, 2022 1 commit
    • zjing14's avatar
      Batched GEMM for fp16 (#79) · b53e9d08
      zjing14 authored
      * prepare host for batched_gemm
      
      * init commit of batched kernels
      
      * fixed
      
      * refine transform with freeze
      
      * m/n padding
      
      * fixed a bug; clean
      
      * add small tiles
      
      * clean
      
      * clean code
      
      * clean code
      
      * add nt, tn, tt layout
      
      * add missing file
      
      * use StaticBufferTupleOfVector instead
      
      * add reference_batched_gemm
      
      * fixed a macro
      b53e9d08