* init commit of convnd bwd data
* begin compiling example
* have a first version that produce a right result
* refine device level launch kernel code
* add more instances in example and get right results
* clang-format
* format example file
* add more instances
* fix instances
* adding conv_bwd_data multile_d
* adding conv_bwd_data multile_d
* adding conv_bwd multiple d
* adding conv_bwd multiple d
* adding conv_bwd multiple d
* refactor
* refactor
* adding conv bwd data multiple d
* adding conv bwd data multiple d
* adding conv bwd data multiple d
* adding conv bwd data multiple d
* adding conv bwd data multiple d
* adding conv bwd data multiple d
* adding conv bwd data multiple d
* refactor
* update conv fwd's bias impl
* refactor
* reorg file
* clean up cmake
* clean
* clean
* clean
Co-authored-by: Chao Liu <lc.roy86@gmail.com>
Co-authored-by: Chao Liu <chao.liu2@amd.com>
* Add int4 example for convnd_fwd_bias_relu_add
* Fix AddReluAdd for building without int4 support
* Update CMakeLists.txt
* Format
* Convert int4 tensors for int8 kernel
* Fix device memory allocation
* Format
* Format
* initial stub for gemm_gemm_xdl_cshuffle
* set up example code
* compiles
* prevent integer overflow
* harmonize interface between ref_gemm and ref_batched_gemm
* batched_gemm_gemm
* fix example
* host tensor gen: diagonal pattern in lowest two-dimensions only
* make c descriptors containing only integral constants
* clean up
* add BlockwiseGemmXdlops_v2 while exploring an unified approach
* implement proper interface
* tidy up example
* fix compilation warnings
* coarsely controlled 2nd gemm padding
* remove rocm-cmake's hard requirement for certain revision
* clang-format
* resolve merge conflict
* fix compilation error on gfx10
* adds acc0 elementwise op to interface
* add gemm_gemm instances and tests
* avoid LDS data hazard
* fix build
Co-authored-by: Chao Liu <chao.liu2@amd.com>