- 02 Jan, 2025 1 commit
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Adam Osewski authored
* add a prototype of int4 * clean * debug * clean * clean * move packed into dynamic_buffer * fixed coord reset * add fast pki4 to half conversion * fix * fixed reference and host_tensor * fixed tensor init * format * debug i4_to_f16_convert * format * fixed splitk * weight permute * add b tile permute * clean * weight permute with splitki * format * improve weight layout * add and_or_b32 * fixed splitk crush * add permute switch as a template * recover v3r1 * clean * failure with intrawave v2 * fixed * fixed * add ckProfiler * add bfp16 support * add bf16 example * fixed int4 to bhalf_t conversion * format * fixed int4 to bf16 conversion * clean * add instances for mem * clean * fixed host tensor size * fixed * debug * fixed * add pk_i4_t as a struct * fix * Update example/01_gemm/gemm_xdl_bf16_pk_i4_v3.cpp Co-authored-by:
Adam Osewski <19374865+aosewski@users.noreply.github.com> * Update example/01_gemm/gemm_xdl_bf16_pk_i4_v3.cpp Co-authored-by:
Jing Zhang <jizhan@fb.com> Co-authored-by:
zjing14 <zhangjing14@gmail.com> Co-authored-by:
mtgu0705 <mtgu@amd.com>
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- 03 Dec, 2024 1 commit
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Illia Silin authored
* (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:
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:
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>
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- 14 Aug, 2024 1 commit
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Haocong WANG authored
* replace buffer_atomic with global_atomic * fixed global_atomic_add * added bf16 atomic_add * format * clang-format-12 * clean * clean * add guards * Update gtest.cmake * enabled splitk_gemm_multi_d * format * add ckProfiler * format * fixed naming * format * clean * clean * add guards * fix clang format * format * add kbatch printout * clean * Add rocm6.2 related gemm optimization * Limit bf16 atomic usage * remove redundant RCR gemm_universal instance * Add RRR fp8 gemm universal instance * Bug fix * Add GPU_TARGET guard to FP8/BF8 target * bug fix * update cmake * remove all fp8/bf8 example if arch not support * Enable fp8 RRR support in ckProfiler * limit greedy-reverse flag to gemm_universal in ckProfiler --------- Co-authored-by:
Jing Zhang <jizhan@meta.com> Co-authored-by:
Illia Silin <98187287+illsilin@users.noreply.github.com> Co-authored-by:
illsilin <Illia.Silin@amd.com>
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- 21 Jun, 2024 1 commit
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carlushuang authored
* WA for rocm-6.2+ s constrait for buffer resource * add missing memory clobber
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- 09 May, 2024 1 commit
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Adam Osewski authored
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- 09 Mar, 2024 1 commit
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zjing14 authored
* wmma_op + unit test * add arch limitation to wmma test * change arch limitation * Refactor + Add all type unit test(int4 compile failed) * Add f32_16x16x16_bf16 unit test * tempsave * tempsave * tempsave * runtime bug, cannot find symbol * workaround for incorrect HIP warpSize return value * debugging * tempsave * Correctness OK, waiting for optimization * Tidy up + format * temp save * temp save, reproduce the v_bfi_b32 issue * add inline asm for wmmaop test * tidy up * clean some debug purpose code * discard some codes * clang format * clang format * compiler issue fixed + increase tile size * navi3x_multipleD+example * temp save * workable * batchedgemm[OK], groupconv[debug] * groupconv: Sanity check[OK], Performance[Bad] * navi3x_groupconv_need_optimization * create necessary files * save progress * Add Inter-Row thread transfer * save progress * save debugging progress * sanity check pass * fix a host tensor bug and clean up flash-attn code * format * cancel unnecessary change * cancel unnecessary change * cancel unnecessary change * temp save, add asm backend flag to amd_wmma * Mat-A LDS Bypass sanity pass * temp save * gemm sanity fix * Porting new blockwise gemm to flash attention * Example branch provide to compiler team * tempsave * Fix a bug * batched gemm ported * conv A-skip lds ported * Skip B-Lds real gemm * Skip B Lds Gemm + MulD * batched gemm, conv, skip b lds * format * Attn, skip b lds * Change GridwiseOp nam * fix a typo caused bug * Skip A_Lds sanity pass, Skip B_Lds scratch occured * Bug found, intra-row permute off caused * bug found * a fix * disable buffer load due to incorrect 3rd dword * update fmha config, no scratch generated * update 3rd dword * fmha config update * FMHA, add support to gfx1101/gfx1102 * Merge origin dev (#2) * [Navi3x] Fix Gridwise_multiple_d operation (#649) * Add CMake Option "USE_OPT_NAVI3X" * fix bug * standardize docs (#655) * Separate bibtex requirement from rocm-docs-core (#656) * separate bibtex requirement from rocm-docs-core * point requirements to source rocm-docs-core repo * Add CMake Option "USE_OPT_NAVI3X" (#647) * Add CMake Option "USE_OPT_NAVI3X" * remove navi3x opt compile option from cmake script * Conv + quantization + tanh (#645) * Rename file. Prepare to support another activation * Add comment for quantization * Extract out_elementop * Add tanh example * Add conv + bias + tanh quantization instance * Add missing parameter * Refine cmake * Add external api and client example * Extract variable in example * Fix the comment --------- Co-authored-by:
Rosty Geyyer <rosty.geyyer@amd.com> Co-authored-by:
root <root@ctr-ubbsmc15.amd.com> * Issue #666: Revert "simplify karg in device/grid of split-k op (#644)" (#665) This reverts commit bb5530af . * Groupnorm + swish external api (#668) * 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 * add a marco to turn on/off denorm fix (off by default) (#673) * add a marco to turn off denorm fix by default * expose the marco --------- Co-authored-by:
Sam Wu <sjwu@ualberta.ca> Co-authored-by:
Sam Wu <sam.wu2@amd.com> Co-authored-by:
rocking5566 <ChunYu.Lai@amd.com> Co-authored-by:
Rostyslav Geyyer <46627076+geyyer@users.noreply.github.com> Co-authored-by:
carlushuang <carlus.huang@amd.com> Co-authored-by:
samjwu <samjwu@users.noreply.github.com> * update attn api * solve type_convert bug + enable --------- Co-authored-by:
haocwang <Haocong.WANG@amd.com> * fix typo * Fix attention with causal mask * multiple fix, try ait compile * Add A/B not use LDS pipeline * Clang format, Add gfx1101, gfx1102 support of FMHA example * cancel change of format script * 1. Enable 2-stage global Prefetch ( May cause VGPR spilling) 2. Enable FP16 accumulator blockwise_gemm * clang-format * 1. change blockwise gemm loopover direction from kmn to mnk ( ~1% improvement) 2. change kernel timing mode to 50 warmup + 50 timed repeat * Update low level abstration of blockwise gemm wmma * (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 * 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 * update self-attention and cross-attention * fix a typo of name * Add arch limiter for fp8 gemm * 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 * re-enable the gemm_xdl_fp16_fp8 on MI100/200 --------- Co-authored-by:
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- 03 Dec, 2023 1 commit
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Bartlomiej Wroblewski authored
This PR introduces support for double buffering in LDS into GEMM kernels that use direct load instructions. Direct loads now use inline asm instead of intrinsics. Usage of intrinsics results in compiler adding additional waitcnt instructions what breaks possible load/compute overlap in case of double buffering. Usage of inline asm results in the need to use sched_barrier in order to make sure that compiler cannot incorrectly reschedule instructions since it does not know the data dependencies between global->LDS and LDS->registers.
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- 25 Nov, 2023 1 commit
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Bartlomiej Wroblewski authored
* 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
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- 12 Oct, 2023 1 commit
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zjing14 authored
* simplified buffer_load/store * add bfp8/fp8 * fixed * fixed buffer_load * fixed buffer_store --------- Co-authored-by:Jing Zhang <jizha@amd.com>
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- 02 Oct, 2023 1 commit
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Rostyslav Geyyer authored
* Add f8 bf8 gemm example * Add element-wise ops * Add intrinsics * Update reference calculation * Add an additional type option for xdlops gemm * Fix build process * Add bf8 to buffer addressing * Update blockwise op, split typeA and typeB * Update for compatibility * Uppdate naming to f8->fp8 * Update naming * Format
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- 12 Sep, 2023 1 commit
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Rostyslav Geyyer authored
* Refactor f8_t to add bf8_t * Add check_err impl for f8_t * Update fp8 test * Format * Revert the fix * Update vector_type implementation * Add bf8 test * Add bf8, use BitInt types * Add bf8 conversion methods * Update type_convert for fp8/bf8 * Add check_err fp8/bf8 support * Add subnorm fp8 tests * Add subnorm bf8 tests * Fix conversion * Add bf8 cmake bindings * Add macros to enable build with disabled fp8/bf8 * Remove is_native method * Update flag combination for mixed precision instances * Add more flag checks * Add another flag to a client example * Add type traits, decouple f8/bf8 casting * Clean up * Decouple fp8 and bf8 flags * Remove more redundant flags * Remove leftover comments
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- 26 Jul, 2023 1 commit
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carlushuang authored
* 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>
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- 05 Jul, 2023 1 commit
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Rostyslav Geyyer authored
* Add fp8 xdl gemm * Add example * Use int8 intrinsics for buffer load/store * Format * Update cmakelists
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- 08 Jun, 2023 1 commit
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carlushuang authored
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- 31 May, 2023 1 commit
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Illia Silin authored
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- 09 Mar, 2023 1 commit
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carlushuang authored
Co-authored-by:
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- 09 Sep, 2022 1 commit
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carlushuang authored
* add gridwise/device sparse embedding * update code * update code * remove useless makefile * code fix * workable * work properly * emb add * add more instance * format * remove useless code * fix format * fix clang-tidy * clean * fix a compile error Co-authored-by:
Chao Liu <chao.liu2@amd.com> Co-authored-by:
Chao Liu <lc.roy86@gmail.com>
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- 25 Jun, 2022 1 commit
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Chao Liu authored
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- 19 Jun, 2022 1 commit
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Chao Liu authored
* ad gelu and fast_gelu * added GeLU and fast GeLU * clean up * add gemm+fastgelu example * add gemm+gelu instances * update profiler * clean up * clean up * adding gemm+bias+activation * clean * adding bias * clean * adding gemm multiple d * debugging * add gemm bias add fastgelu * rename, clean * refactoring; add readme * refactor * refactor * refactor * refactor * refactor * refactor * fix * fix * update example * update example * rename * update example * add ckProfiler * clean * clean * clean * clean * add comment * use type_convert * clean * clean element wise op
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- 20 May, 2022 1 commit
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rocking5566 authored
* [What] Rename the example [Why] Prepare to add unary reduction * Add global oparation to the parameter * Add atomicmax * Fix compile error * Support atomicMax (hip library) * Rename the reduction example * Fix target name * use p_d1_grid as the indicator directly * Prevent performance issue. Let passthrough handle it. * Implement the function template the specialize the float2 * No need to separate into two lines * Remove empty line * add comment * Fix compile error due to merge from develop * make the implementation of atomic_max / atomic_add explicit for each datatype * Refine typo * For future CI test * Fix compiler error in ckProfiler * Merge commit 'de2769e3a6695b38a20529261273ddc5cdaab2fe' * simply use remove_pointer * Rename type and var * Refine example * Modify reducemax example * Fix bug in reduction * Change initialize range * Implement F64 version of atomicMax * Move reduction code together * Add buffer atomic_max * Fix coding style by clang-format * Integrate new api of DeviceGemmReduce_Xdl_CShuffle * Integrate Batch gemm reduction * Fix example * fix example * clean up * Fix batch gemm tensor operation * Fix coding style * Fix template augument * Fix clang format * Keep flexible of different stride for each D tensor * Fix compile error for ckProfiler * Fix typo * [What] Fix naming [Why] Prepare to add out elementop * Add DoutElementOp Co-authored-by:
rocking <chunylai@amd.com>
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- 31 Mar, 2022 1 commit
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Chao Liu authored
* adding compilation for multiple targets * fix build * clean * update Jekinsfile * update readme * update Jenkins * use ck::half_t instead of ushort for bf16 * rename enum classes * clean * rename * clean
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- 22 Mar, 2022 1 commit
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Qianfeng authored
* Use thread cluster descriptor and explicit M_K 2d descriptor to simply Blockwise Reduction * Change by replacing ReduceDims by NumReduceDims as Device Reduce interface template parameter * Rename the folder name for the pool2d and reduce examples * Update to reduction test scripts * Add Readme for pool2d_fwd and reduce_blockwise examples * Add support for int8_t reduction (ADD/AVG, MIN/MAX/AMAX) * Tiny fix in reduce profiler and tiny update in reduce testing scripts * Tiny fix in testing script profile_reduce_no_index.sh * Tiny fix in testing script profile_reduce_no_index.sh * Add support for bfp16 reduction (using bhalf_t = ushort) * Tiny fix in amd_buffer_addressing.hpp * Tiny change in script/profile_reduce_with_index.sh * Use AccDataType for Beta value and use element_wise::PassThrough * Use type_convert for type converting in host layer reduction * Renaming and refining in Reduction profiler/device layer/examples * Renaming and refining in Reduction profiler/device layer/examples * Renaming all NumReduceDims to NumReduceDim * Fix the leaked type_convert in ThreadwiseTensorSliceTransfer_v2 * Update to testing scripts to add bf16 support * added more static_assert * Remove buggy tunable configurations defined in device_reduce_instance_xxx.hpp * Add static_assert to give compile-time warning for incorrect thread slice-size/vector-size configurations * minor change * Refine and fix (in GetWorkspaceSizeInBytes of MultiBlockPartialReduce) to make int8 completely pass * Tiny renaming in gridwise_2d_reduction_multiblock_partial_reduce.hpp * Tiny fix in script/profile_reduce_no_index.sh * Refine in DeviceReduce layer with regard to using NumInvariantDim/NumReduceDim or InvariantDims/ReduceDims * Generic renaming in host reduction and DeviceReduce layer * Add support for 4-d all dimension reduction in the profiler and add_device_reduce_xxx instances * Use multi-thread and simplification for host Reduction implementation * Add ctest for reduction * Update to clarify the using of data init method in produce_reduce/example_reduce/test_reduce/ * Update to the reduce CTest executables to enable default testing behavior when no command argument * Renaming Co-authored-by:Jianfeng yan <jfyan008@gmail.com>
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- 09 Mar, 2022 1 commit
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Chao Liu authored
* delete obselete files * move files * build * update cmake * update cmake * fix build * reorg examples * update cmake for example and test
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- 04 Mar, 2022 1 commit
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rocking5566 authored
* Add int8 of mk_nk_mn to the ckProfiler * Add example of int8 gemm * Fix typo, use ushort instead of half_t for bfloat16 * replace ushortXXX_t to bhalfXXX_t * rename ushort to bhalf_t * Add bf16 example * Add bf16 gemm to ckProfiler * Fix alignment * Fix typo * Add unit test for gemm_xdl int8 * Add gemm_xdl fp32 unit test * Add gemm_xdl bf16 unit test * fix build * fix build issue due to merge conflict * Fix build * Fix build error Co-authored-by:
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- 23 Feb, 2022 1 commit
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Jianfeng Yan authored
* conv3d compiles but has memory error * conv3d works * fix performance issue by using __builtin_amdgc_readfirstlane * change MakeBlock2CTileMap to MakeDefaultBlock2CTileMap; change c_blockid_to* to cblockid_to* * clang-format * remove CK_EXPERIMENTAL_PASS_TENSOR_DECRIPTOR_BY_*; moved wrapper into DeviceConv3d * format * remove useless marc * add comment Co-authored-by:
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- 26 Dec, 2021 1 commit
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Chao Liu authored
* fix relu * clean up * clean up * adding 1x1 conv * adding 1x1 conv * added 1x1 conv * refactor * refactor * refactor * added profiler for conv+bias+relu+add * clean up * adding conv+bias+relu * adding conv+bias+relu * added conv+bias+relu * Update README.md * update cpu verification * adding c shuffle * update static_tensor for dealing with invalid element * adding c shuffle * debugging * fix bug * convert to fp16 before shuffle * shuffle more than one M/NRepeat * clean up * remove coordinate step hack from GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v3r1 * clean up * remove coordinate step hack from all gridwise gemm xdl * clean up coordinate step hack * clean up coordinate step hack * ThreadwiseTensorSliceTransfer_v3r2 support pointwise op on both src and dst * adding output shuffle in conv+bias+relu+add * update * added conv+bias+relu+add with c shuffle * added conv+bias+relu+add with c shuffle * fix forward_sweep bugs in threadwise copy * clean up * refactor * clean up * clean up * added conv_c_shuffle+bias_relu * clean up * added conv+bias+relu+atomic_add * clean up * clean up * clean up * clean up * clean up * clean up * misc fixes; add 1x1 specialization * clean up * delete unused device op * clean up * add support for odd C value
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- 18 Nov, 2021 2 commits
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Chao Liu authored
* reworking vector_type * use __builtin_memcpy for bit_cast and vector access of scalar pointer * clean up
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zjing14 authored
* init * refactor for 1x1 * rename e0_e1 * add e1 with bugs * debug * fixed * fixed e1 * add timer * imprve threadwise gemm with dot2 * add e2 * tuning * seperate c2 * add nhwc * restore nchwc * clean * opt * fixed; tuning * add BGlobalMoveSliceWindowStepHacks{} * tuning * repeat running * adjust * merge v5r1 nchwc * add adaptors * split k0 k1 in c_thread_grid * split h and w * remove v5r1 nhwc * clean for pr * remove host_conv_add * clean code * clean * add dynamic support * static mode * test static * add conv+add fusion * fixed validation * naming fix * use activ_enum * make static * refactor conv_add for InMem::add * add bias * add conv_out * add configurable makeddesc * add maxpool fusion * add maxpool host for validation * enable static desc * conv-only use v5r1_add * test * test * for binary dumps * fixed incorrect results due to typo * clean * debugging maxpool * workaround with offset trick * clean code * modularize ops of fusion * add gridwise_gemm_v3 * create seperate fusion fun * enable dynamic mode of conv and conv+resize_add * add dynamic mode of maxpool * add pass by point * add activ_type as arguments * merge develop * clean * reset config to old default Co-authored-by:
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- 15 Nov, 2021 1 commit
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zjing14 authored
* init StaticBufferV2 * clean * adopt old output stage for staticBufferV2 * clean * remove hack * clean * clean * add parameters * clean code * move c_buffer alloc into blockwise gemm * add adaptors for m/n_thread_data_on_grid * tweak gemm * adjust blockwise_gemm_xdlops * tweak * update conv * update script * adding bwd 1x1 * update script * adding 1x1 bwd * debugging bwd 1x1 failure * update script * update script * test * test v100 * add bf16_1k * clang-format * clean * add bfp16 for gfx908 * add verification * clean up * clean code * restore bfl16 * clean * add bfp16 support into gemm_driver * apply new generator to other drivers * add int8 support * cleanb * clean * clean * clean Co-authored-by:
root <root@hayabusa6111.amd.com>
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- 27 Aug, 2021 2 commits
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Chao Liu authored
* use cast_pointer_to_generic_address_space() in v6r1 kernel wrapper, DynamcBuffer and buffer_load take customized invalid-element-value, add buffer_load/store for fp64 * use remove_cvref_t
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Qianfeng authored
* add solver ConvIgemmFwdV6r1DlopsNchwKcyxNkhw; rename static ck source files * make inner product compatible on gfx900 * Update src/include/miopen/solver/ck_utility_common.hpp * compiler parameter use stream * use int instead of index_t in kernel wrapper * DynamicBuffer, StaticBuffer, amd_buffer_load support customized value for invalid element * Add dynamic generic reduction kernel layer (kernel wrappers, kernel implementations and utilities) * Some updates to dynamic composable kernel facility for the need of dynamic generic reduction * Update to generic reduction C++ host interface layer to support dynamic generic reduction * Update to remove tidy complaints in host interface layer * Change the unary operator form from void op(T &x) to T op(T x) * Update to pass single workspace pointer for all kernels (fix for OpenCL backend) * Use cppcheck-suppress to prevent some strange warnings * Re-use operator [] and () for DynamicBuffer and update to depending codes * Remove useless codes in first call threadwise/warpwise/blockwise kernel wrappers * [performance] Remove un-needed local buffer initialization Co-authored-by:
JD <Jehandad.Khan@amd.com>
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- 25 Aug, 2021 1 commit
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zjing14 authored
* add f32/i32 atomicAdd support into dynamicBuffer, and enable it in v1r3 * fixed * fixed * update comment Co-authored-by:
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- 19 Aug, 2021 1 commit
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Chao Liu authored
* Squashed 'src/composable_kernel/' content from commit f6edda61 git-subtree-dir: src/composable_kernel git-subtree-split: f6edda61 * add solver ConvIgemmFwdV6r1DlopsNchwKcyxNkhw; rename static ck source files * Squashed 'src/composable_kernel/' changes from f6edda61..5781adf5 5781adf5 Update develop (#5) (#6) 97e6d514 Merge pull request #4 from ROCmSoftwarePlatform/separate_online_compile 7b1ec41e refactor 49c33aae refactor 54b3e73d rename git-subtree-dir: src/composable_kernel git-subtree-split: 5781adf5 * fix * refactor * remove online compilation from CK * refactor * fix * add ctest * add c-style pointer cast * vector/scalar pointer cast use c-style pointer cast instead of reinterpret_cast * fix clang warning suppression * tidy * suppress cppcheck * fix enum issue * revert chagnes to hip build * fix kernel filename * update CK build script * rename * rename * make innner product compatiable on gfx900 * Update src/include/miopen/solver/ck_utility_common.hpp Co-authored-by:
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- 13 Aug, 2021 1 commit
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Chao Liu authored
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- 09 Aug, 2021 1 commit
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Chao Liu authored
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- 27 Jul, 2021 1 commit
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Chao Liu authored
* update online kernel wrapper bundle all descriptors in a tuple * change __CONSTANT__ to CONSTANT * rename * adding tuning * added IsValidCompileParameter * reorginze * adding tunable for fp16 and int8 * fix kernel compile warning and bug fixes * suppress warning about cast CONSTANT (address space 4) pointer * fix building issue
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- 01 Jul, 2021 1 commit
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zjing14 authored
* create files for xdlops * working on blockwise_gemm_xdlops * add KReduction * add m/n repeats * add 2x2 pipeline * added 128x128 wavegemm * use StaticBuffer of vector_type * break vector type to blk_size * add kpack into xldops_gemm and blockwise_gemm * abroadcast only * add fp32 mfma instructions * adding fp16 mfma * pack half4_t * rename kperwave to kpack * add 32x32x8fp16 * add fp16 mfma * clean code * clean code * V4r4 xdlops kpack (#35) * add kpack with incorrect results * bug fix for make_dynamic_naive_tensor_descriptor_aligned_v2 * add 1x1 kernel * add gridwise_gemm_v2 - single_buffer * enabled dwordx4 for fp16 Co-authored-by:
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- 12 May, 2021 1 commit
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Chao Liu authored
* Use DynamicBuffer to hold raw pointer (to global and LDS memory) * add workaround for compiler issue (inefficient ISA) of ds_write for int8x4, int8x8, int8x16
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- 13 Apr, 2021 1 commit
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Chao Liu authored
* overhaul vector_type, make int8x4_t real vector instead of aliasing from int32_t
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- 07 Apr, 2021 1 commit
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zjing14 authored
* Hybrid direct + implicit GEMM forward convolution NCHWc v5r1. Input tensor bypass LDS. Support fp32/fp16/int8
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