* Revert "Revert "feature:tf32:add initial conv3d fwd kernel support (#2763)" (#2848)"
This reverts commit 03b59f8c76.
* fix compile error on gf12x
* only run tf32 example on gfx942
* only build tf32 instance on gfx942
* ckProfiler:only support tf32 in gfx942
* delete unuseful messages
* Add runtime check in example_gemm_xdl_streamk for gfx950
* Add runtime check in grouped conv fwd examples for gfx950
* Disable CK_USE_AMD_MFMA_GFX950
* Add new instances for gfx950
* Fix test_gemm_universal on gfx950
* (2/5) bilinear gemm pass, perf bug: skip a lds has lower performance than skip b lds
* (3/5) batched gemm pass, perf bug: skip a lds has lower performance than skip b lds
* (4/5) grouped conv pass
* (5/5) attention pass, todo: debug lds perf bug
* AIT Attention API refactor (#8)
* sanity pass
* sanity pass 2
* confirm significant performance regression.
* turn on all instances
* turn off instance format
* Fix bug & tunning & format
* DML meta, self_attn+cross_attn
* sanity pass
* remove useless flag
* update tile and problem size used in AIT attention
* bug fix in grouped conv supporting check
* deprecate inline asm wmma
* Bug fix: double lds skip
* clang-format
* Fix errors in
1. example, fmha
2. gridwise pipeline
3. deviceop, fmha, change some containers from vector to array
* part2 of previous commit
* clang format
* API fix of gridwisegemmpipeline
* separate array base and vector base attention tensor transformation
* fix gemm
* clang format
* add gemm fp16 instances
* Temp save
* fpAintB kernel compile pass
* Sanity pass.
* Temp save
* debug code enabled
* Fp16AInt8B_GEMM sanity
* MQA implementation
* GQA-4 example
* tempsave
* Compile pass
* New implementation of fp16Aint8B Gemm, Acheieve similar math throughput with native fp16 Gemm
* Bump rocm-docs-core from 0.24.0 to 0.29.0 in /docs/sphinx
Bumps [rocm-docs-core](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.24.0 to 0.29.0.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/RadeonOpenCompute/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.24.0...v0.29.0)
---
updated-dependencies:
- dependency-name: rocm-docs-core
dependency-type: direct:production
update-type: version-update:semver-minor
...
Signed-off-by: dependabot[bot] <support@github.com>
* initial enablement of gfx950
* fix clang format
* disable examples 31 and 41 int8 on gfx950
* initial navi4x enablement
* remove extra endif
* enabled dl_gemm
* update s_barrier and s_waitcnt for gfx12
* fix the gfx12 assembly syntax
* fixed block_sync_lds
* add support for more dl kernels on navi4
* add wmma
* format
* Todo: fix gemm_bilinear_wmma instances compilation bug
* Solve a bug when K1=16
* remove unnecessary changes
* Remove tensor layout limitation to LDS usage in tesnor contraction
* fixed block_sync_lds
* merge navi3_ref
* update self-attention and cross-attention
* fix a typo of name
* fixed layout
* debugging
* Add arch limiter for fp8 gemm
* fixed wmma
* enable fp8 gemm_xdl for all gfx9 targets
* temporarily disable gemm_xdl_fp16_fp8 on MI100/200
* fix the cmake logic for gemm_xdl_fp16_fp8
* fixed c_output
* re-enable the gemm_xdl_fp16_fp8 on MI100/200
* fixed gfx12
* fixed
* fixed
* seperate gfx12 blockwise_gemm
* fixed
* enable fwd conv on navi4x
* enable gridwise
* enabled gemm
* fixed merge
* remove empty example fold
* fixed conflicts
* some small changes
* Update cmake-ck-dev.sh
* Update cmake-ck-dev.sh
* enabled other types
* fixed register loads
* test fa
* enable gfx12
* clean up
* enable some instances on gfx12
* add gfx1201 macro in amd_wmma header
* fix clang format
* enable batched_gemm_softmax_gemm_perm_wmma for gfx12
* disable instances with blocksize=256 in attention examples
* debuggging
* debug
* fixed lds_enabled
* debugging
* Fix and add limit to skiplds feature
* Enable skipLds feature and fix compilation bugs
* add ck_tile definitions for gfx12
* fix clang format and test/wmma_op
* updage instances cmake for gfx12
* disable the test_wmma_op on gfx12
* fix the builds for gfx950
* add gfx12 and gfx950 to default target list
* clean-up cmake file
* Initial introduction of OFP8 data types.
* Renamed FP8 and BF8 tests into FP8_FNUZ and BF8_FNUZ.
* Implementation of ConvertFP32Nearest in test_fp8_ocp.
* Remove dependence on possibly undeclared alias.
* Implement FP8OCP test for stochastic rounding mode.
* Implement FP8OCP tests for half_t type conversions.
* enable bf16 atomic add on gfx950
* Implement ConvertFP32Nearest test.
* Implement ConvertFP32Stochastic test.
* Implement ConvertFP16Nearest and ConvertFP16Stochastic tests.
* Refactoring. Move FP8 definitions into a separate header file.
* Enable easy switching between architectures.
* Fix compilation error for gfx942 architecture.
* only builf gfx950 branch for gfx950 target by default
* Enable OCP build of example_gemm_xdl_fp8.
* Fix formatting.
* fix the build logic for gfx950
* Improve GEMM example verbosity.
* Add constexpr where applicable.
* fix the logic of enabling XDL and WMMA instances
* Improve GEMM example verbosity.
* Enable build of example_gemm_xdl_fp8_bf8 test.
* Fix tests for gfx1101 architecture.
* Build DPP examples only on gfx103 and gfx11 architectures.
* Optionaly run either CPU or GPU verifications with GEMM examples.
* Extend GeneratorTensor_Sequential to produce values of prescribed data types.
* Add missing constructor.
* Improve infrastructure for OFP8 data type support.
* BUGFIX. Should not use FP8 as Compute/Accum data type.
* Add custom target for grouped_convnd_bwd_weight tests.
* Can build `tests` target on gfx950.
* Bugfixes on gfx1101 architecture.
* Fix dependencies.
* Provide single point of truth for FP8 INF and NAN checks
* Prevent instantiation of operators that are not supported by FP8 data types
* Add FP8 type selection into client_axample CMakeLists.txt
* Prevent sccache server from shutting down during build
* Fix test success reporting logic
* Change default verification method to CPU.
GPU verification takes too much time to complete on the emulator.
* Make sure all tests and examples are built for gfx950
* Facilitate testing of FP8 data types on the emulator
* Introduce two new tensor generators
* Enable instances built for gfx94 to be built on gfx950
* Verify 35_splitk_gemm on floating point numbers.
splitk gemm appears to be losing precision VS reference implementation when FP numbers are involved.
* Verify 04_gemm_add_add_fastgelu on floating point numbers
* Verify 20_grouped_conv_bwd_weight on floating point numbers
* Verify 38_grouped_conv_bwd_data_multiple_d on floating point numbers
* Verify more tests on floating point data
* Fix data types and improve testing verbocity.
* Upgrade to NPI 573 build docker.
* Skip on gemm_universal tests.
The tests take too long to complete on the emulator.
Need to see if it is possible to reduce the scope of the testing to just FP8 data types.
* Fix gfx1101 build
* Document test availability
* Re-enable fp8 gemms for gfx94/95
* Cherry-pick GEMM Universal tests for FP8 data types
* Cleanup
* CK_USE_GFX94 has already been set on this branch
* Address formatting issues and leftovers
* Make fail/pass logic consistent within 01_gemm folder
Removed multiple negations in fail/pass logic to propagate `true` as the success indicator.
* Fix GPU verification reporting logic.
* Update year in copyright notice.
* Cleanup
* Use `enum class` instead of `enum`
* Remove set_property for FP8 tests
* Narrowing the scope of PR to OCP FP8 enablement only
* Add tests for OCP FP8 vector_type storage
* Enable gemm kernel on all gfx9 architectures (#227)
* clean-up
* Implement `non_native_vector_base` with `ext_vector_type` array. (#232)
* Enable support of 1, 2, 4, and 8-byte custom types in CK.
* Fix pool tests for OCP FP8 data type
* fix jenkins file
* restore cron trigger
---------
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: aska-0096 <haocwang@amd.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Jing Zhang <jizhan@amd.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
Co-authored-by: Jun Liu <Liu.Jun@amd.com>
Co-authored-by: Andriy Roshchenko <andriy.roshchenko@amd.com>
Co-authored-by: Andriy Roshchenko <107577548+andriy-ca@users.noreply.github.com>
* Add a gpu gemm reference kernel
* Switch to gpu reference in gemm examples
* Remove redundant arguments
* Update all related examples
* Update more examples
* Try less threads per block
* Try even less threads per block
* Add support for all matrix layouts
* Increase block size
* Clean up
* Remove hardcoded strides
* Clean up
* Try a column-major case
* Revert back to row-major
* Run both CPU and GPU veriffication
---------
Co-authored-by: Po Yen Chen <PoYen.Chen@amd.com>
* Set RNE fp8 conversion as a default
* Update f8 tests
* Disable failing test on gfx11
* Update bf8 tests
* Add a flag
* Fix the flag
* Raise flag for gfx10 as well
* Temp commit for tolerance testing
* Update tolerances
* clip fp8 to +/-240 on all targets
* if inputs to fp8 conversion are +/-inf, they remain unaltered
* increase tolerance for test_elementwise_layernorm to prevent false errors
* change the input values for gemm examples to floats
* reduce gemm example float input values to prevent errors
* increase the tolerance for gemm examples
* 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>
* 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
