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2. Use DeviceGemm_Xdl_CShuffle instead of deprecated DeviceGemmXdl_C_Shuffle

Let memory coalesce between block

* Add math functions for host

* Change to host reduction to use ck::math:

* Remove the using of half_float::half and half.hpp from reduction example/profiler/ctest

[Why] Similar to acc datatype, it increase precision

[Why] Prevent loss of precision

[Why] Prevent error propogation

[Why]  std::numeric_limits<_Float16>::lowest() will return zero

* compile ck for all targets

* update the target criteria

* change the target condition

* fixed some typos

* fixed missed file

* revert changes in README

* revert device_conv3d_fwd_xdl_...

* update device_conv3d_fwd_xdl_...

* update device_batched_gemm_reduce...

* test the unused arguments fix

* test the warning suppression

* try suppress warnings in device_batched_gemm_reduce_xdl...

* fix the last warnings

* replace UNUSED with std::ignore

* fix a typo

* replaced std::ignore with ignore

* add igonre header to common_header

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

2d as 1d version

[Why] Prepare to add reduceSum

* forgot passing BatchedCount in some profiler_batched_gemm

* delete default BatchCount

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

* change function name and way to set input zero

* change enable if

* change backward weight name

* start add bwd weight lib and profiler

* change tuning paramter

* change output info

* add bwd weight test

* change test info

* using conv_util

* change wgt to weight

* add }

* add fp32

* Add ThreadwiseReduction functor as per-thread reduction api

* Using ThreadwiseReduce api and some change in using PartitionedBlockwiseReduction api to simply the kernels

* Add comments and remove useless declarations in the kernels

* Tiny updates

* retune & add conflict-free bf16/fp16 c-shuffle gemm instances

amend wrong K1 value in some fp16/bf16 kernel instances

* make gemm cshuffle's timing behavior consistent with all other functions

* clang-format

* retune & add conflict-free fp32 c-shuffle gemm instances

* retune & add conflict-free int8 c-shuffle gemm instances

* update the underlying gridwise gemm of all c-shuffle gemm kernels

* typo

* remove switch for NDimSpatial

* change in, out and wei name

* rename reference thumb function name

* remove test