* Enable grouped conv with small K or C
* Add missing instances
* Refactor grouped conv fwd instances
* Fix fp16 instances since it supports src_per_vec %2 = 0
* Add generic instances
* properly split conv_nd_bwd_data instances
* split conv2d_fwd instance data types
* split the gemm, conv2d_fwd and batched_gemm_softamx_gemm
* split the tests by data types where possible
* filter examples by DTYPES
* split few remaining examples by DTYPES
* filter most instances by DTYPES
* add new lines at end of headers, fix grouped_gemm profiler
* fix syntax
* split the ckprofiler instances by DTYPES
* split the conv2d and quantization DL and XDL instances
* fix the splitting of conv2d DL instances
* split softmax and pool_fwd tests for fp16 and fp32 types
* fix syntax
* fix the dl_int8 quantization instances isolation
* Add wei_strides to grouped conv3d wei to keep consistency
* Fix strides in client examples
* Unify backward weight api with forward
* Fix for example
* Fixes for examples
---------
Co-authored-by: zjing14 <zhangjing14@gmail.com>
* Add s_nops after v_dot to avoid hazard
* Fix builtin for inner_produxt fp16
* Skip inline version to builtin
* Add comments regarding isa
* Fix comment regarding s_nop
* initial stream-k implementation with example
* fix unexpected change in err
* improve a little bit performance by reorganize pipeline.
* improve perf a little bit by swizzle block idx
* add profiler
* update example
* fix spelling
* shrink karg for streamk
* support dynamic buffer using memory coherence glc_slc bit from template
* control memory coherence while construct dynamic buffer
* update reduction for streamk(not ready yet)
* Add template parameter to make_dynamic_buffer to support amd_buffer coherence setting
* fix build issue
* fix several bug
* now result is correct, everything works (but has scratch)
* remove scratch by manually reset coordinate
* update device code
* fix a bug in final reduce
* fix something in example
* update async memset
* fix enum as camel case
* modify coherence enum name
* clean code and use atomic streamk by default
* remove unused var
* throw exception if have empty pointer
* fix format
* fix CI warning
* fix type in init
* modify CI error
* filter out on gfx10+
* restore changed example code
---------
Co-authored-by: Qianfeng Zhang <Qianfeng.Zhang@amd.com>
* first change bias load
* add bias dim and scalervector parameter
* make CDE0BlockTransferSrcVectorDim not work
* changse toinstance
* add limit for CDE0BlockTransferSrcScalarPerVector
* allow building CK for specific data types
* add CI build and test stage on Naiv3x without some int8 instances
* add missing gemm fp16 instances
* add the changes to the missed cmake file
* add empty lines at end of source files
* Do not build quantization client example on navi3 in CI
* disable batched_gemm_multi_d_int8 instances with DTYPES
* disable device_conv2d_bwd_data_instance with DTYPES
* fix ckprofiler for conv_bwd_data for int8
* properly isolate the conv_bwd_data int8 instances
* remove empty line
* Move source file into sub-directories
* Add missing include directive
* Split DeviceGemmXdl<> fp16 instances
* Fix format
* Remove unnecessary CMakeLists.txt
* Add macros to toggle new features
* Remove debug message
* Turn off GEMM v2 pipeline optimization by default
* Fix format
* Extract duplicated string as list
* Enlarge indent in CMakeLists.txt
* Use dim 0 as faster dim for writing mean/var/count workspace in batchnorm multiblock method [performance]
* Add CountDataType as template parameter in blockwise_welford
* Add utility/get_shift.hpp
* Add BatchNorm multiblock single-kernel implementation
* Add smem inline assembly based implementation of gms_init/gms_barrier/gms_reset for gfx90a
* Renaming in device_batchnorm_forward_impl.hpp
* Tiny fix in the batchnorm_fwd profiler
* Revert "Add smem inline assembly based implementation of gms_init/gms_barrier/gms_reset for gfx90a"
This reverts commit d16d00919c.
* Use the old two-kernel batchnorm multiblock method for gfx1030
* Use the old two-kernel batchnorm multiblock method for gfx908
* use the single-kernel batchnorm multiblock method only for gfx90a
* Remove get_wave_id() from utility/get_id.hpp since it is not used
* Set true for testing running mean/variance and saving mean/invvariance in the examples
* Fix to copy-right words
* Remove un-needed including in utility/get_id.hpp
* Add comments to workgroup_synchronization.hpp
* Remove un-used codes in gridwise_multiblock_batchnorm_forward.hpp
* Renaming in the kernels
* Remove un-used kernel file
* Add basic fp8 definitions and prn-generator
* Format
* Add fp8<->fp32 type_convert
* Format
* Split type_convert and cast_to/from_f8
* Format
* Minor fix
* Minor fix
* Move fp8 utils to a separate header
* Add elementwise ops
* Add fp8_convert_sr
* Format
* Add element op
* Eliminate magic numbers
* Split f8_convert_sr in host and device
* Format
* Add some constexpr
* Add a datatype test
* Format
* Another format
* Add fp8<->fp16 tests
* Update type_converts
* Format
* Add fp16 casting functions
* Format
* Use seed as a runtime arg
* Use element location for PRNG
* Format
* Add fp8<->fp16 to PassThrough element op
* Clean up
* Merge host and device implementations
* Add comments on rounding modes
* Remove leftover code
* Put type_converts into a separate header
* Put random number gen to a separate header
* Rearrange f8_utils' namespaces
* Refactor type_convert.hpp
* Move f8_t definition
* Add maxpool f32 kernel and example
* Revise copyright
* Add device pool bwd device op
* Support f16 and bf16
* Add compute datatype for reference code.
Prevent error in bf16
* Fix type error
* Remove layout
* Fix bf16 error
* Add f16 and bf16 example
* Add more operations
* Implement IsSupportedArgument
* Add changelog
* Add comment
* Add comment
* Remove useless header
* Move initialize of workspace to the run
* Move set din zero to the device operator
* Save din_length_raw
* Remove useless header
* Calculate gridsize according to the number of CU
* Calculate gridSize according to the number of CU.
Remove useless header
* Add put example
* Remove useless header
* Fix CI fail
* Add NumReduceDim template parameter to DeviceSoftmax and Softmax client API to simplify instances collecting
* Move the generic kernel instance to be the first of the instance list for elementwise op of normalization
* Add GetGenericInstance() interface for DeviceOperationInstanceFactory class of DeviceSoftmax
* Add testing of GetGenericInstance() in client_example of Softmax
* Revert "Add testing of GetGenericInstance() in client_example of Softmax"
This reverts commit f629cd9a93.
* Revert "Add GetGenericInstance() interface for DeviceOperationInstanceFactory class of DeviceSoftmax"
This reverts commit a9f0d000eb.
* Support generic kernel instance to be the first instance returned by GetInstances() for GroupNorm
* Move generic kernel instance to separate tuple for elementwise op of normalization
* Remove un-used files for softmax instance
* Store generic kernel instance to separate tuple for softmax
* Add IsSupported checking for generic instance to client example of softmax
* Replace the get_device_normalize_from_mean_meansquare_instances() by the DeviceOperationInstanceFactory class for elementwise-normalization
* clang-format fix
* Remove int8 from softmax instances
---------
Co-authored-by: zjing14 <zhangjing14@gmail.com>
* enable gfx941/942 targets
* fix clang format
* fix the cmake logic for multiple targets
* fix cmake syntax for looping over targets
* add gfx941/942 support for gemm_xdl instances
