1. 23 Jun, 2022 1 commit
    • Adam Osewski's avatar
      Testing all fwd convolution specializations. (#259) · a2edd7d8
      Adam Osewski authored
      
      
      * UniforFill with integer values.
      
      * Log tested instance type string.
      
      * Add UT for all convolution specializations.
      
      * debugging conv
      
      * Fix dangling reference bug.
      
      * Small refinements.
      
      * Fix call to error checking function.
      
      * Small refinements to tests.
      
      * Configure error tolerance
      * Change problem size.
      * Remove OddC case from types that do not support it.
      
      * Add helper traits for AccumulatorDataType.
      
      * Print first 5 errs in check_err for integral types.
      
      * Rename FillUniform to FillUniformDistribution
      
      * Refactor
      
      * Do not use typed tests.
      * Instead use plain fixture class with templatized member functions.
      * Initialize tensors with integer values.
      
      * Refine test instances.
      
      * Properly set accumulator data type.
      * Add another "big" instance.
      
      * Refactor convolution tests.
      
      * Revert "debugging conv"
      
      This reverts commit b109516455631ff8fd6dce99cf7c14bf8e323ebb.
      
      * Add pragma once + format + small refinement.
      
      * Fix some unwanted changes.
      
      * Clang-format
      
      * Fix profile_convnd to use renamed tensor initializer.
      
      * Add instances for ConvFWDND kernel case 2D
      
      * Helpers to get ConvNDFwd 2D instances.
      
      * Refactoring.
      
      * Remove "small block" instance as it was generating compiler errors.
      * Remove default template parameters values.
      
      * Refine and fix test.
      
      * Fix problem with default template parameter types.
      * Adjust error thresholds for floating point values test.
      * Use integer values initialization for instances test.
      * Add tests for ConvNDFwd 2D case.
      
      * Remove AccumulatorDataType type trait.
      
      * Update unit-tests.
      
      * Remove operator<< overload.
      
      * Unlock conv1d/3d nd fwd instances.
      
      * Enable skipping calculating reference using flag.
      
      * Fix number of channels for first ResNet50 layer.
      
      * Clang-format.
      Co-authored-by: default avatarAdam Osewski <aosewski@amd.com>
      Co-authored-by: default avatarChao Liu <chao.liu2@amd.com>
      a2edd7d8
  2. 21 Jun, 2022 1 commit
  3. 02 Jun, 2022 1 commit
    • Illia Silin's avatar
      Adding Resnet50 test to Performance tests (#268) · 1677cf70
      Illia Silin authored
      * add resnet50 test to performance tests
      
      * add blanks before gpu_arch in log files
      
      * add resnet50 test with N=4 and process its results
      
      * add ROCM and HIP versions to test tables
      
      * uncomment the sql queries
      
      * fix script syntax in jenkinsfile
      1677cf70
  4. 07 Feb, 2022 1 commit
    • Chao Liu's avatar
      GEMM+Bias+ReLU+Add (#76) · 823657ed
      Chao Liu authored
      * tweak conv for odd C
      
      * update script
      
      * clean up elementwise op
      
      * fix build
      
      * clean up
      
      * added example for gemm+bias+relu+add
      
      * added example for gemm+bias+relu
      
      * add profiler for gemm_s_shuffle; re-org files
      
      * add profiler
      
      * fix build
      
      * clean up
      
      * clean up
      
      * clean up
      
      * fix build
      823657ed
  5. 15 Nov, 2021 1 commit
    • Chao Liu's avatar
      FP16 data in-register transpose (#41) · b491ebf3
      Chao Liu authored
      * start fixing 16bit data packing
      
      * adding StaticTensor
      
      * adding StaticTensor
      
      * adding StaticTensor
      
      * add missing constexpr
      
      * adding static tensor
      
      * adding static tensor
      
      * adding transpose
      
      * add inline asm for transpose 2x2 of half_t
      
      * add general transpose_vectors(), but have unnecessary register initialization using v_mov
      
      * fix unnecessary register initialization in transpose_vector by using more pass-by-reference
      
      * add hardcoded logic for NHWC wrw
      
      * improve asm for v_pack
      
      * make ThreadwiseTensorSliceTransfer_v3r2 support any tensor
      
      * tweak
      
      * reorganize file
      b491ebf3