* Add support for mixed precision in contraction scale and bilinear (#936)
* Extract common functionality to separate files
* Reference contraction: Remove incorrect consts from type_converts
* Reference contraction: Add missing type_convert for dst value
* Reference contraction: Fix incorrect order of B matrix dimensions
* Add support for mixed precision in contraction scale and bilinear
* Move using statements from instances to a common file
* Move using statements from examples to a common file
* Fix the order of B matrix dimensions across examples and profiler
* Fix the computation of error threshold
* Make ComputeDataType an optional argument
* Include possible DataType -> ComputeDataType casting error in the threshold
* Remove commented code
* Make the ComputeDataType an optional argument in instance
---------
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.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
* Extract common functionality to separate files
* Reference contraction: Remove incorrect consts from type_converts
* Reference contraction: Add missing type_convert for dst value
* Reference contraction: Fix incorrect order of B matrix dimensions
* Add support for mixed precision in contraction scale and bilinear
* Move using statements from instances to a common file
* Move using statements from examples to a common file
* Fix the order of B matrix dimensions across examples and profiler
* Fix the computation of error threshold
* Make ComputeDataType an optional argument
* Include possible DataType -> ComputeDataType casting error in the threshold
* Remove commented code
* 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
* 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
* Add maxpool instances
* Rename index pool to max pool.
* Add maxpool bwd bf16 instances
* Add avg pool bwd instances
* Rename avgpool and maxpool to avg_pool3d and max_pool
* Add bf16 pool fwd instances
* Add max pool bwd to ckProfiler
* Add avg pool3d bwd to ckProfiler
* Add avg pool bwd test
* Fix bug of reference pool fwd (dilation)
* Fix bug of max pool bwd (dilation and initZero)
* Support bf16 compute data type
* Force compute type be f32. Because atomicAdd only support f32
* Add max pool bwd test
* Rename folder
* Rename pool
* Add max pool bwd client example
* Add avg pool bwd client example
* Add missing workspace
* clang format
* Rename macro
* remove useless header
* remove useless layout
* 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
* Do not hardcode stride
* devicePool2DFwd Inherit devicePool3DFwd
* Move instance declaration out of common
* Add dilation
* use the pool3d rank, because pool2d inherit pooo3d
* calculate Do Ho Wo for the dilation
* Fix header name
* Modify ckProfiler
* Remove pool2d instance
* Remove pool2d in profiler
* Remove pool2d and add dilation
* In to client example, this commit revise following:
1. Add dilation.
2. Use pool3d to implement pool2d
* Refine naming and IsSupportedArgument()
* Add dilation to maxpool bwd example
* clang format
* 1. Remove useless header
2. Fix copyright
3. Refine naming
* Add layout parameter to pool fwd
* clang format
* Fix merge error
* Fix compile error
* Remove layout parameter in derived class
* Refine changlog
* Fix compile error
* Fix compiler error
* Add layout to external api and profiler
* 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>
* 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>
* 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
* 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 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>
* Add license header.
* Reduce number of logged output. Add constant initialization.
* Add functional tests for grouped_gemm with different kbatch value.
* Add debug log informations + remove unused code.
* Don't pass kbatch to CalculateKPadded.
* Turn on logging in grouped gemm and gemm splitk profiler
* Debug: limit number of test cases to run;
* Log more information and initialize with constant value.
* Turn on DEBUG_LOG
* Add more debug log informations.
* Limit the number of instances to compile.
* Use GridwiseGemmPipeline
* Use KBatch to calculate K0
* Multiple DebugLog messages.
* Unit tests for multiple KBatch values.
* Refactoring
* Disable logging
* extract out of if statement KBatch update.
* Uncomment instances.
* Disable DebugLog.
* Use Kbatch when calculate KPadded.
* Fix CGridDesc padding.
* Use available helper functions.
* Uncomment code commented for debuggin.
* Remove unnecessary debug log messages.
* Uncomment previously commented code for debug purposes.
* Add KBatch info to profiler output summary log.
* Add gtests for gemm splitk using ckProfiler API.
* Add more test-cases for different data layout.
* Add more test cases for gemm splitk
* Remove old test.
* Unit tests for MKNK ggemm interface.
* Fix and add more unit-tests.
* Constepxr everything!
* Increase error threshold for fp16 and splitk.
Since we're using fp16 atomic add for splitk there's a
known precision loss.
---------
Co-authored-by: Adam Osewski <aosewski@amd.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
* Expand the base class of pool2d, prepare to share base class with pool3d
* Add pool3d device op
* Add pool3d f16 example
* Refactor the base class. implement generic pooling in the future
* clang format
* get original index in max pooling
* Add outputindex to base class
* Fix dimension
* Add pooling instance
* Use indexType instead
* Remove useless header
* Extract IndexDataType to template
* Extract pooling reference code
* clang format
* clang format
* Fix typo
* Add tensor stride
* Add missing header
* Add index stride and output stride
* Refine naming
* Add type to base class
* Rename file
* Use proper size
* Fix typo
* Refine naming
* Modify the argument into vector.
* Add max pool profiler
* Refine naming
* Support f32 pool
* Fix typo
* Add avg pool2d fwd in profiler
* clang format
* Rename AccDatatype to ComputeDatatype
* Fix init
* test pool
* Extract variable
* Add client example
* Check the pooling dim
* clang format
* Connect argv and arg_parser
* Add found check
* Remove useless header
* Refine naming
* Adjust the order of device_pool_fwd
* Add contraction profiler and tests
* Build and style fixes
* Allow to use any elementwise operator for ref_contraction
* Introduce profile_contraction_scale and profile_contraction_bilinear
* Make ref_contraction generic and extend interface tests
* Stylistic minor fixes
* Extend test_contraction_interface
* Rename to proper naming
* Add example of groupnorm + swish
* Extract duplicate code in example
* Add groupnorm + swish instances
* Ractor instance generation, split into multiple cpp file
* Add external api and client example
* Refine profiler message
* Use ck math version of exp
* Refine problem size in example
* Add host version of exp
* Grouped gemm + Gelu instances.
* Device Instance Factory for GroupedGemm+Gelu
* Client example
* Rangify fill helper functions.
* Fix name clash.
* Profiler for grouped_gemm+gelu
* No need to use full namespace name.
* Add check for MRaw divisible by vector load.
* Ugly fix for big errors.
* Add grouped_gemm+gelu to profiler CMakelists.
* Store in argument additional info.
* Information about Mraw, Nraw, Kraw values.
* Use FastGelu instead of Gelu.
* Change client ex to use FastGelu
* Remove relaxed error precision.
* Remove duplicate output elementwise-op
---------
Co-authored-by: Adam Osewski <aosewski@amd.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
* Sync the order of type string with template parameter
* Add more instances
* Check the vector size and remove redundant var
* Extract var to static, prepare to separate sweep once kernel
* Separate sweeponce flow and optimize the flow
* 1. Rename AccDatatype in normalization to computeData
2. Rename AccElementwiseOperation to YElementwiseOperation in normalization
* Remove useless code
* Update naive variance kernel
* Refine string
* Fix typo
* Support naive variance for device_normalization
* Check the blocksize
* Share the VGPR of x and y
* Share the VGPR of gamma and beta
* Add more instances
* Support fp16 sqrt for experiment
* Add CHANGELOG
* Fix typo
* clang-format
* Add gemm + layernorm instance
* Add ckProfiler
* Add test
* Add client example
* Detect if user forger to set the workrspace
* Use literal in the example
* [What] use builtin function for sqrt
[Why] compiler will not use v_sqrt_f64_e64 if we use ::sqrt()
* check gemm vaildity in IsSupportedArgument
* Add more testcases
* Merge duplicated folder in client example
* Print more infomation
* Use better kernel parameter for MS problem size
* clang format
* Add constexpr for if condition and remove redundant include
* Remove cstdlib and add constexpr
