GitLab

* updating codegen build for MIOpen access: adding .cmake for codegen component

* updating CMake

* adding in header guards for some headers due to issues with hiprtc compilation in MIOpen

* some more header guards

* putting env file in header guard

* cleaning up some includes

* updated types file for hiprtc purposes

* fixed types file: bit-wise/memcpy issue

* updating multiple utility files to deal with standard header inclusion for hiprtc

* added some more header guards in the utility files, replacing some standard header functionality

* added some more header guards

* fixing some conflicts in utility files, another round of header guards

* fixing errors in data type file

* resolved conflict errors in a few utility files

* added header guards/replicated functionality in device files

* resolved issues with standard headers in device files: device_base and device_grouped_conv_fwd_multiple_abd

* resolved issues with standard headers in device files: device_base.hpp, device_grouped_conv_fwd_multiple_abd.hpp, device_grouped_conv_fwd_multiple_abd_xdl_cshuffle.hpp

* added header guards for gridwise gemm files: gridwise_gemm_multiple_abd_xdl_cshuffle.hpp and gridwise_gemm_multiple_d_xdl_cshuffle.hpp

* fixed issue with numerics header, removed from transform_conv_fwd_to_gemm and added to device_column_to_image_impl, device_grouped_conv_fwd_multiple_abd_xdl_cshuffle, device_grouped_conv_fwd_multiple_abd_xdl_cshuffle_v3, device_image_to_column_impl

* replaced standard header usage and added header guards in block to ctile map and gridwise_gemm_pipeline_selector

* resolved errors in device_gemm_xdl_splitk_c_shuffle files in regards to replacement of standard headers in previous commit

* added replicated functionality for standard header methods in utility files

* replaced standard header functionality in threadwise tensor slice transfer files and added header guards in element_wise_operation.hpp

* temp fix for namespace error in MIOpen

* remove standard header usage in codegen device op

* removed standard header usage in elementwise files, resolved namespace errors

* formatting fix

* changed codegen argument to ON for testing

* temporarily removing codegen compiler flag for testing purposes

* added codegen flag again, set default to ON

* set codegen flag default back to OFF

* replaced enable_if_t standard header usage in data_type.hpp

* added some debug prints to pinpoint issues in MIOpen

* added print outs to debug in MIOpen

* removed debug print outs from device op

* resolved stdexcept include error

* formatting fix

* adding includes to new fp8 file to resolve ck::enable_if_t errors

* made changes to amd_wave_read_first_lane

* updated functionality in type utility file

* fixed end of file issue

* resovled errors in type utility file, added functionality to array utility file

* fixed standard header usage replication in data_type file, resolves error with failing examples on navi3x

* formatting fix

* replaced standard header usage in amd_ck_fp8 file

* added include to random_gen file

* removed and replicated standard header usage from data_type and type_convert files for fp8 changes

* replicated standard unsigned integer types in random_gen

* resolved comments from review: put calls to reinterpret_cast for size_t in header guards

* updated/added copyright headers

* removed duplicate header

* fixed typo in header guard

* updated copyright headers

---------
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>

* Overload output stream operator for LoopScheduler and PiplineVersion

* Add Run overload accepting grid descriptors MK.

* Add __device__ keyword for CalculateGridSize

* Create device op GroupedGemmMultipleD

* Add GroupedGemm MultipleD Tile Loop implementation.

* Add an example for GroupedGemm MultipleD tile loop.

* Device Op GroupedGEMMTileLoop.

* Bunch of small changes in exmaple.

* CkProfiler

* Remove unused tparam.

* Fix include statement.

* Fix output stream overloads.

* Do not make descriptors and check validity untill we find group.

* Fix gemm desc initialization.

* Revert device op

* Fix compilation for DTYPES=FP16

* Validate tensor transfers paramters.

* Validate on host only NK dims if M is not known.

* Fix bug.

* A convenient debug func for selecting threads.

* Fix has main k block loop bug.

* Make sure that b2c has up to date tile offset.

* Output stream operator for Sequence type.

* Cmake file formatting.

* dump lds content in appropriate precision type

* add squared add reduction op; allows sq sum

* initial stub from regular gemm impl

* layernorm example code & host verification

* initial layernorm implementation

* tidy up

* make C0 precision type consistent with C

* clang-tidy and additional comments

* tighten up example code

* account for extra flops/bytes from normalization

* clang-format

* c0 bias/beta/gamma now have its own precision type

* AccElemOp for gemm outputs prior to feeding to layernorm

* update workgroup mapping

* rename kernel template param to reflect its dual use

* use LDS mem pool for reduction workspace

* change cshuffle precision type to f16; clean up

* clang-format

* correct naming

* explicit cast

* fully implemented gemm + bias + activation + add + norm

* activation in correct order

* reflect reduction API's recent change

* amend

* clean up; add comment

* keep up with recent changes in reduction API

* format

* resolve merge conflicts
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* delete obselete files

* move files

* build

* update cmake

* update cmake

* fix build

* reorg examples

* update cmake for example and test

* add gitignore

* host tensor: allow generating sequentially increasing value in a given dimension

* gridwise gemm v3r1: allow distinct K0/K1 values for A/B block descriptor

- remove dangling header include
- modify example gemm_xdl accordingly
- infer KPack value from M/NPerXdl
- device conv2d fwd: update parameters accordingly for the underlying gridwise gemm v3r1
(API for conv2d fwd stays the same for now until we decide to expose individual K0s for activation and weight)

* add LDS data dump utility

* profiler: reflect API change for distinct K0/K1 for A/B matrices

* profiler: add conflict-free LDS write FP16 kernel instances

* fix accidental perf regression

* address feedback; cosmetic changes

* clang-format for new files

* format
Co-authored-by: Chao Liu <chao.liu2@amd.com>