* 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
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Co-authored-by: Qianfeng Zhang <Qianfeng.Zhang@amd.com>
* Rangify STL algorithms
This commit adapts rangified std::copy(), std::fill() & std::transform()
* Rangify check_err()
By rangifying check_err(), we can not only compare values between
std::vector<>s, but also compare any ranges which have same value
type.
* Allow constructing Tensor<> like a HostTensorDescriptor
* Simplify Tensor<> object construction logics
* Remove more unnecessary 'HostTensorDescriptor' objects
* Re-format example code
* Re-write more HostTensorDescriptor ctor call
* Add GEMM examples for int4
Currently the source files are just copied from int8 examples
* Re-use pre-defined alias in int4 exmples
* Distinguish user-side type from kernel-side type
* Add int4_t support for check_err()
* Allow conversion between Tensor<> specializations
* Re-format source files
* Use different type for host tensors
* Re-use CopyAsType<>() to implement copy ctor
* Re-use element-wise operation type alias
* Fix typo in alias names
* Complete the int4 examples
* Add constraint to Tensor<> templated methods
* Add type traits 'is_signed_integral<>'
* Add type constraints for integer version check_err<>()
* Allow comparing different-sized integral types in check_err()
* Check converted Tensor<int4_t> with golden Tensor<int8_t>
* Remove constraint of Tensor<>::CopyAsType()
* Avoid compilation error while disabling ck::int4_t support
* Remove debug messages
* Add #error directive to prevent compile sources with wrong setting
* Simplify tensor usages in examples
* Add constraint to check_err() input reference type
* Align design with other PR
* Use ""_uz to simplify example code
* Avoid too much generalizing check_err()
* Re-format GEMM instance template arguments
* Extract int4 example common codes
* Sort include directives
* Move #include directives into new header
* Move common codes together
* Re-format template argument in example code
* Reuse same implementation code for most of GEMM examples
* Re-format common.hpp
* Unify structured comment in examples
* Use reinterpret_cast<>() for cross-type pointer conversion
* Revert "Add type traits 'is_signed_integral<>'"
This reverts commit f2c148efae.
* Allow unsigned integer arguments for check_err()
* Fix compilation error in check_err()
* Remove unnecessary copy ctor for Tensor<>
* Mark Tensor<> special member functions as 'default'
* Use more strict condition to add code in examples
* Fix wrong program return value of GEMM examples
* Handle the case while user specify all the strides
* Fix never-ran examples
* Exit successfully if GEMM instance does not support given problem
* Add missing 'else' keyword
* Re-format CMakeLists.txt
* Add wrapper function to hide value conversion while copying memory
* Add new DeviceMem API to copy memory
* Use new DeviceMem API to implement examples
* Revert "Add new DeviceMem API to copy memory"
This reverts commit 3f190b0779.
* Add conversion ctor for Tensor<>
* Write Tensor<> conversion logics explicitly in example code
* Convert Tensor<> values after transfer data to host
