* Add basic support for direct loads from global to LDS
* Clean the code and comments
* Add support for fp16
* Add comments
* Add check for thread cluster lengths
* Align non-direct-load fp16 example
* Small fixes
* Extend IsSupported to check for supported GPU gens
* Build examples only on the supported HW
* Do not throw when instance not supported in 04 example
* Review: Apply review suggestions
* Review: small fix
* Review: small fix
* adding files for F32 example
* adding functioning implementation with scalar multiplication and unary operator support
* added fp 16 type check in unary square
* updating scalar multiplication as an operator
* functioning version with scalar operator
* changing strides for col major
* updated column major implementation
* working column major implementation
* cleaned up comments, rearranged/renamed files
* Support multi AB for grouped conv fwd xdl
* Add instances
* Add client example
* Add example
* Add interface test
* Minor fixes
Minor fixes
Minor fixes
* Comment fixes
* Fixes
* Reference fix
* Test xdl fixes
* Improve multi_ab interface test
* added working example for 5D input using 1D kernel
* example with 5D input tensor and 2d kernel - not working: issues with arguments
* added updated version of 3d device op - changed descriptors/dims
* added example file to check kernel
* fixed descriptor and isSupportedArgument stride problem
* added and modified kernel for 3d - updated tids/loop
* adding some more 5d example files
* fixed some issues
* changes made for testing
* working version: fixed error in stride for A, still a bit inefficient
* cleaned up formatting/comments
* updating formatting
* more formatting fixes
* fixing cmake, adding back gpu targets in cmake script
* adding client example
* added instances for client example
* fixed errors in client example
* implemented client ex with device_elementwise.hpp and device_elementwise_3d_impl.hpp
* removed extra files
* minor formatting and naming fixes
* adding test files and profiler
* fixing minor error
* minor fix
* removed unneccesary comments, renamed files
* updated instance list for client example, added different layout example
* removing instances
* fixed error in instance generation
* remove comments
* update profiler and client example tensor layouts
* fixed errors in test/profiler
* updated vector dim access to enable vector load
* updated test/profiler files
* updated example with 1d kernel
* updating profiler
* renamed files
---------
Co-authored-by: Jing Zhang <jizha@amd.com>
* save mean and inverse std in normalization
* Save mean and inverse std in splitK
* Vector save mean and inv std
* Modify instance for save mean and std
* simplify the layernorm example
* Save mean and std in groupnorm example
* Save mean and inv std in ckProfiler and test
* Remove compute data type from base class
* Save mean and inv std in client example
* Add changelog
* clang format
* Fix compile error
* Refine naming
* Avoid error in bf16
* revert changelog
* Introduce LocalBlockToCTileMap.
* Change the signature of CalculateBottomIndex() function which now does
not accept any argument. The B2C map which is already passed as an
argument to the kernel Run function is calculating block's local id
already outside at kernel entry point __global__ function.
The LocalB2C map stores as members local block ID.
* Use LocalBlockToCTile map in device ops.
* First draft of tile loop work distribution.
* Fix typo.
* Simplify kernel arguments.
Calculate descriptors & B2C maps on the device.
* Use looping kernel.
* Fix B2C constructor.
* Fix Navi21 errors.
* Calculate tile start/end in device kernel.
* Change Run API to accept user provided workspace buffer.
* Add new line at EOF.
* Move Gemm KernelArguments to device op interface.
* Remove unused code.
* Update API.
* Launch grid size which is min of occupancy vs tile count
* Get back to use constant memory for gemm descriptors.
* Remove unused code.
* Add default virtual method implementation.
* Update comments to conform with doxygen style.
* Fix doc style and unused parameters.
* Add thread cluster lengths to kernel name.
* Remove old splitk impl and replace it with tile looping one.
* Modify instances.
* set KPerBlock to 64
* maximize wherever possible vector load size.
* Fix instances cluster lengths.
* Change comment style.
* Use 128b store where possible in instances.
* Update test cases, since KPerBlock has doubled.
* Update output stream operator for Sequence.
* Add pipeline version to GroupedGEMM device op type string.
* Fix pipeline version type logging.
* Fix input tensors type after merge.
* Fix compiler error.
* Fix output stream operator for Pipeline version.
* Store using 128b.
* Set of instances with kpb 32/64
* Limit number of instances
* Remove commented out instances.
* Fix function name.
* Limit the number of instances.
Add pipline version to the regular instances
* Change thr cluster layout for reading B tensor.
* disabled failed instances
---------
Co-authored-by: Adam Osewski <aosewski@amd.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
Co-authored-by: Jing Zhang <jizha@amd.com>
* Add column to image kernel
* Minor fixes for dtypes and client examples
* Disable tests for disabled dtypes
* Disable add instances functions for disabled data types
* Minor stylistic fixes
* Revert "Disable add instances functions for disabled data types"
This reverts commit 728b869563.
* Instances reduction
* Add comments in device_column_to_image_impl
* Update changelog and Copyrights
* Improve changelog
* Redesign the DPP8 GEMM kernel to use warp-wise component
* Review: Improve error messages
* Review: Remove unnecessary empty lines
* Review: Fix M, N per thread names
* Review: Rename mfma_input_type to dpp_input_type
* Review: Fix tensor adaptor; remove unnecessary element
* Review: Remove calls to dpp_gemm's MakeCDescriptor
* Review: Add blockwise doc, change function names to include dimension names
* Review: Remove duplicated code; Move Block2CtileMap alias to the top of the file
* Review: Add __restrict__ keywords
* Review: Use MatrixPadder for padding A, B, C matrices
* Review: Remove hardcoded datatypes
* Review: Change names from FloatX to XDataType
* Review: Introduce AK0 and BK0 instead of a single K0
* Review: Remove construction of dpp_datatypes object
* Review: Rename DppInstrRunner to DppLanegroupGemm
* Add image to column kernel
* Add instances, tests, profiler, example
* Add client example
* Several fixes of image to column
* Fix variable name in device_image_to_column_impl
* Several fixes of image to column profiler
* Fix num_btype calculation
* Make new mesaurements for correct bytes calculation
* experiment with config file
* experiment with version.h config
* add more info to version.h
* minor updates
* minor updates
* fix case where DTYPE is not used
* large amount of files but minor changes
* remove white space
* minor changes to add more MACROs
* fix cmakedefine01
* fix issue with CK internal conflict
* fix define and define value
* fix clang-format
* fix formatting issue
* experiment with cmake
* clang format v12 to be consistent with miopen
* avoid clang-format for config file
* Add avgpool bwd reference code
* Refine naming
* Fix invalid in_element op in ref_conv
* Add example (only reference now)
* Add the full example of avgpool bwd
* Fix copyright
* Imitate MakeDescriptor from transform_conv_bwd_data_to_gemm_v1.hpp
* rename channel to c from k
* Arrange the code
* Imitate the argument from conv bwd
* Implement invoker
* Fix order of parameter in example
* Refactor reference code for different dimension
* Support different stride
* Check if argument is valid
* Fix kernel parameter for NDHWC, fastest dimension C is not reduced
* Add more data type in example
* Fix bug in example
* calculate Do Ho Wo according to the dilation
* Remove useless header
* Add comment in reference code
* Add layout parameter
* Remove layout in derived class
* Refine reference comment
* 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
* 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 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
* 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
* Remove M/N/KPad local variables
* Use M/N/KPad to name padded lengths
* Replace duplicated local variable by parameters
* Rename variables M/N/KRaw to M/N/K
* Move AK0/BK0 compute logic into GridwiseGemm
* Use macro to shorten code
* Move CalculateGridSize() logic into GridwiseGemm
* Add comment to credit the implementation source
* Reuse the existing implementation
* Remove no-longer used data members
* Remove elementwise-op objects from interfaces
* Reserve kernel arg as whole object in interfaces
* Remove redundant data member
* Make 3rd type parameter optional
* Remove unnesscary type parameters
* Remove no-longer used descriptor-creation methods
* Move kernel arg type definition into GridwiseGemm
* Add macro to switch between code sections
* Move argument field computing logic into device op side
* Make utility method 'static'
* Declare special methods
* Unify MakeArgument() usage
* Adapt the new GridwiseGemm interface
* Push-down class 'GridwiseGemm::Argument' fields
* Remove no-longer used methods
* Add unused parameters
* Force copying parameters in 'Embed' ctor
* Remove no-longer used descriptors
* Fallback change on BaseArgument
* Remove macro 'INTEGER_DIVIDE_CEIL'
* Make variable naming more consistent
* Make sure methods are only invoked on right place
* Remove tailing underscore in public attribute name
* Remove necessary methods
* Hide computing logic of derived attributes
* Make new 'Embed' ctor only available for device code
* Make sure 'Embed' type args are not references
* Move check for karg.K into CheckValidity()
* Remove more integer division logic form device code
* Undo changes on Embed
* Separate 'Problem' concept out from 'Argument'
* Add overloaded version of __builtin_amdgcn_readfirstlane()
* Remove 'static' specifiers
* Remove more 'static' specifier
* Replace unsigne char by std::byte
* Add 'const' specifier to never changing variable
* Add 'inline' specifier to funcion definition
* Share same name for kernel interfaces
* Fix wrong boundar calculation logic
* Leave the third template arg for compatibility
* Remove unnecessary parameters
* Fix wrong error message (for type name)
* Create descriptor on device side
* Fix wrong debug message
* Remove no-longer used data members
* Rename type trait
* Remove std:: qualifier from standard types
* Replace 'size_t' by 'unsigned'
* Use type alias to hint usage
* Replace static_for<> by ordinary 'for' loop
* Reject unsupported argument
* Rename readfirstlane() to amd_wave_read_first_lane()
* Rename file readfirstlance.hpp as amd_wave_read_first_lane.hpp
* Update function calls
* Reorder statements
* Re-format files
---------
Co-authored-by: zjing14 <zhangjing14@gmail.com>
