1. 23 Mar, 2022 1 commit
    • Adam Osewski's avatar
      Unified conv3D API + support for all data types. (#133) · f91579aa
      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
      
      * 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
      Co-authored-by: default avatarAdam Osewski <aosewski@amd.com>
      Co-authored-by: default avatarChao Liu <chao.liu2@amd.com>
      f91579aa
  2. 09 Mar, 2022 1 commit
    • Chao Liu's avatar
      Reorganize files, Part 1 (#119) · 5d37d7bf
      Chao Liu authored
      * delete obselete files
      
      * move files
      
      * build
      
      * update cmake
      
      * update cmake
      
      * fix build
      
      * reorg examples
      
      * update cmake for example and test
      5d37d7bf
  3. 05 Mar, 2022 1 commit
    • Chao Liu's avatar
      Fix Tests build (#109) · 5b178874
      Chao Liu authored
      * fix tests
      
      * remove useless file
      
      * fix test build
      
      * reduce parallelism when compiling
      
      * fix test
      5b178874
  4. 23 Feb, 2022 1 commit
    • Adam Osewski's avatar
      Unify Convolution FWD XDL 1D/2D implementation. (#93) · 756a7617
      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.
      Co-authored-by: default avatarAdam Osewski <aosewski@amd.com>
      Co-authored-by: default avatarChao Liu <chao.liu2@amd.com>
      756a7617