mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-19 04:19:36 +00:00
* (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>
[ROCm/composable_kernel commit: 08d5c02c37]
989 lines
32 KiB
C++
989 lines
32 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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#include "ck/utility/random_gen.hpp"
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#include "ck/utility/type.hpp"
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#ifdef CK_USE_FNUZ_FP8
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#define CK_USE_FNUZ_FP8 1
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#else
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#define CK_USE_FNUZ_FP8 0
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#endif
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#ifdef CK_USE_OCP_FP8
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#define CK_USE_OCP_FP8 1
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#else
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#define CK_USE_OCP_FP8 0
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#endif
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namespace ck {
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using f8_fnuz_t = _BitInt(8);
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using bf8_fnuz_t = unsigned _BitInt(8);
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#if(defined(__gfx940__) || defined(__gfx941__) || defined(__gfx942__) || defined(__gfx1200__) || \
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defined(__gfx1201__)) && \
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__HIP_DEVICE_COMPILE__
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#define CK_FP8_CVT_FAST_PATH 1
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#else
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#define CK_FP8_CVT_FAST_PATH 0
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#endif
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#if(defined(__gfx1200__) || defined(__gfx1201__)) && __HIP_DEVICE_COMPILE__
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#define CK_OCP_FP8_CVT_FAST_PATH 1
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#else
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#define CK_OCP_FP8_CVT_FAST_PATH 0
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#endif
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typedef unsigned char fp8_storage_t;
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/**
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* \brief Describes FP8 interpretation
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*/
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enum class ck_fp8_interpretation_t
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{
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CK_E4M3_OCP = 0, // OCP E4M3
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CK_E5M2_OCP = 1, // OCP E5M2
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CK_E4M3_FNUZ = 2, // FP8
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CK_E5M2_FNUZ = 3, // BF8
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};
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/**
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* \brief Describes saturation behavior
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*/
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enum class ck_saturation_t
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{
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CK_NOSAT = 0, // No saturation - replace with NaN or Inf
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CK_SATFINITE = 1, // Saturate to finite
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};
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namespace fp8_impl {
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typedef fp8_storage_t fp8x2_storage_t __attribute__((ext_vector_type(2)));
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typedef float float2_t __attribute__((ext_vector_type(2)));
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__host__ __device__ static inline constexpr bool fnuz_f8_is_nan(f8_fnuz_t a)
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{
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return static_cast<unsigned char>(a) == 0x80;
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}
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__host__ __device__ static inline constexpr bool fnuz_bf8_is_nan(bf8_fnuz_t a)
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{
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return static_cast<unsigned char>(a) == 0x80;
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}
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__host__ __device__ static inline constexpr bool ocp_f8_is_nan(fp8_storage_t a)
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{
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return (a & 0x7f) == 0x7f;
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}
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__host__ __device__ static inline constexpr bool ocp_bf8_is_nan(fp8_storage_t a)
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{
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return (a & 0x7f) > 0x7c;
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}
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// The conversion function is from rocblas
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// https://github.com/ROCm/rocBLAS/blob/9b7f692abe3c54b88d1e77e045a7db7f1f188b69/library/include/internal/rocblas_hip_f8_impl.h#L220
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// This has been modified to handle double types as well
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template <typename T, int wm, int we, bool is_fnuz, bool clip = false>
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__host__ __device__ static inline T cast_from_f8(fp8_storage_t x)
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{
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constexpr bool is_half = __hip_internal::is_same<T, _Float16>::value;
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constexpr bool is_float = __hip_internal::is_same<T, float>::value;
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constexpr bool is_double = __hip_internal::is_same<T, double>::value;
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static_assert(is_half || is_float || is_double, "only half, float and double are supported");
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constexpr int weo = is_half ? 5 : (is_float ? 8 : 11);
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constexpr int wmo = is_half ? 10 : (is_float ? 23 : 52);
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T fInf, fNegInf, fNaN, fNeg0, fmax, fmin;
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if constexpr(is_half)
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{
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const unsigned short int ihInf = 0x7C00;
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const unsigned short int ihNegInf = 0xFC00;
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const unsigned short int ihNaN = 0x7C01;
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const unsigned short int ihNeg0 = 0x8000;
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/* Max number in e5m2 57344*/
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const unsigned short int ifmax = 0x7B00;
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const unsigned short int ifmin = 0xFB00;
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fInf = bit_cast<_Float16>(ihInf);
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fNegInf = bit_cast<_Float16>(ihNegInf);
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fNaN = bit_cast<_Float16>(ihNaN);
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fNeg0 = bit_cast<_Float16>(ihNeg0);
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fmax = bit_cast<_Float16>(ifmax);
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fmin = bit_cast<_Float16>(ifmin);
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}
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else if constexpr(is_float)
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{
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const unsigned int ifInf = 0x7F800000;
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const unsigned int ifNegInf = 0xFF800000;
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const unsigned int ifNaN = 0x7F800001;
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const unsigned int ifNeg0 = 0x80000000;
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/* Max number in e5m2 57344*/
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const unsigned int ifmax = 0x47600000;
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const unsigned int ifmin = 0xC7600000;
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fInf = bit_cast<float>(ifInf);
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fNegInf = bit_cast<float>(ifNegInf);
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fNaN = bit_cast<float>(ifNaN);
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fNeg0 = bit_cast<float>(ifNeg0);
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fmax = bit_cast<float>(ifmax);
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fmin = bit_cast<float>(ifmin);
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}
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else if constexpr(is_double)
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{
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const unsigned long long ifInf = 0x7FF0000000000000ull;
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const unsigned long long ifNegInf = 0xFFF0000000000000ull;
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const unsigned long long ifNaN = 0x7FF0000000000001ull;
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const unsigned long long ifNeg0 = 0x8000000000000000ull;
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/* Max number in e5m2 57344*/
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const unsigned long long ifmax = 0x40EC000000000000ull;
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const unsigned long long ifmin = 0xC0EC000000000000ull;
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fInf = bit_cast<double>(ifInf);
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fNegInf = bit_cast<double>(ifNegInf);
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fNaN = bit_cast<double>(ifNaN);
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fNeg0 = bit_cast<double>(ifNeg0);
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fmax = bit_cast<double>(ifmax);
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fmin = bit_cast<double>(ifmin);
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}
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if(x == 0)
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{
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return 0;
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}
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unsigned long long sign = x >> 7;
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unsigned long long mantissa = x & ((1 << wm) - 1);
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int exponent = (x & 0x7F) >> wm;
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if constexpr(is_fnuz)
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{
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if(x == 0x80)
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{
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return fNaN;
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}
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}
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else
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{
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if(x == 0x80)
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{
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return fNeg0;
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}
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if constexpr(we == 4)
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{ // e4m3
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if((x & 0x7F) == 0x7F)
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{
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return fNaN;
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}
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}
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else if((x & 0x7C) == 0x7C)
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{ // e5m2
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if((x & 0x3) == 0)
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{
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if constexpr(clip)
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{
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return sign ? fmin : fmax;
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}
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return sign ? fNegInf : fInf;
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}
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return fNaN;
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}
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}
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typename __hip_internal::conditional<
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sizeof(T) == 2,
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unsigned short int,
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typename __hip_internal::conditional<sizeof(T) == 4, unsigned int, unsigned long long>::
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type>::type retval;
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if constexpr(we == 5 && is_half && !is_fnuz)
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{
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retval = x << 8;
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return bit_cast<T>(retval);
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}
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const int exp_low_cutoff = (1 << (weo - 1)) - (1 << (we - 1)) + 1 - (is_fnuz ? 1 : 0);
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// subnormal input
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if(exponent == 0)
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{
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#if defined(__HIP_DEVICE_COMPILE__) && __HIP_DEVICE_COMPILE__
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// guaranteed mantissa!=0 since cases 0x0 and 0x80 are handled above
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int sh = 1 + __clz(mantissa) - (32 - wm);
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#else
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int sh = 1 + __builtin_clz(mantissa) - (32 - wm);
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#endif
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mantissa <<= sh;
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exponent += 1 - sh;
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mantissa &= ((1ull << wm) - 1);
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}
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exponent += exp_low_cutoff - 1;
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mantissa <<= wmo - wm;
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// subnormal output (occurs when T=half, we=5, negative_zero_nan=true)
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if(exponent <= 0)
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{
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mantissa |= 1 << wmo;
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mantissa >>= 1 - exponent;
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exponent = 0;
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}
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if constexpr(sizeof(T) == 2)
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retval = (sign << 15) | (exponent << 10) | mantissa;
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else if constexpr(sizeof(T) == 4)
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retval = (sign << 31) | (exponent << 23) | mantissa;
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else
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retval = (sign << 63) | (static_cast<unsigned long long>(exponent) << 52) | mantissa;
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return bit_cast<T>(retval);
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}
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#if CK_FP8_CVT_FAST_PATH
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template <ck_fp8_interpretation_t interpret>
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static __device__ float cast_to_f32_from_f8(fp8_storage_t v)
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{
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union
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{
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unsigned int i32val;
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unsigned char i8val[4];
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} val;
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val.i8val[0] = v;
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static_assert(interpret == ck_fp8_interpretation_t::CK_E4M3_FNUZ ||
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interpret == ck_fp8_interpretation_t::CK_E4M3_OCP ||
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interpret == ck_fp8_interpretation_t::CK_E5M2_FNUZ ||
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interpret == ck_fp8_interpretation_t::CK_E5M2_OCP,
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"Only FNUZ and OCP interpretations are supported");
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if constexpr((interpret == ck_fp8_interpretation_t::CK_E4M3_FNUZ) ||
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(interpret == ck_fp8_interpretation_t::CK_E4M3_OCP))
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{
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return __builtin_amdgcn_cvt_f32_fp8(val.i32val, 0);
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}
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else
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{
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return __builtin_amdgcn_cvt_f32_bf8(val.i32val, 0);
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}
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}
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template <ck_fp8_interpretation_t interpret>
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static __device__ float2_t cast_to_f32x2_from_f8x2(fp8x2_storage_t v)
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{
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const auto i16val = bit_cast<uint16_t>(v);
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static_assert(interpret == ck_fp8_interpretation_t::CK_E4M3_FNUZ ||
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interpret == ck_fp8_interpretation_t::CK_E4M3_OCP ||
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interpret == ck_fp8_interpretation_t::CK_E5M2_FNUZ ||
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interpret == ck_fp8_interpretation_t::CK_E5M2_OCP,
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"Only FNUZ and OCP interpretations are supported");
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if constexpr((interpret == ck_fp8_interpretation_t::CK_E4M3_FNUZ) ||
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(interpret == ck_fp8_interpretation_t::CK_E4M3_OCP))
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{
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return __builtin_amdgcn_cvt_pk_f32_fp8(i16val, false);
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}
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else
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{
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return __builtin_amdgcn_cvt_pk_f32_bf8(i16val, false);
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}
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}
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#endif
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} // namespace fp8_impl
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struct f8_ocp_t
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{
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using data_type = fp8_storage_t;
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data_type data;
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static constexpr ck_saturation_t default_saturation = ck_saturation_t::CK_SATFINITE;
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static constexpr ck_fp8_interpretation_t default_interpret =
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ck_fp8_interpretation_t::CK_E4M3_OCP;
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static constexpr unsigned int we = 4; // exponent width
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static constexpr unsigned int wm = 3; // mantissa width
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__host__ __device__ constexpr bool operator==(const f8_ocp_t& other) const
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{
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return (data == other.data) && (fp8_impl::ocp_f8_is_nan(data) == false); // NaN != NaN
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}
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#if CK_USE_OCP_FP8
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__host__ __device__ explicit operator float() const
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#else
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__host__ explicit operator float() const
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#endif
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{
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#if CK_OCP_FP8_CVT_FAST_PATH
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return fp8_impl::cast_to_f32_from_f8<default_interpret>(this->data);
|
|
#else
|
|
return fp8_impl::cast_from_f8<float, wm, we, false>(
|
|
this->data); // XXX: clip==false must be consistent with operator _Float16
|
|
#endif
|
|
}
|
|
|
|
#if CK_USE_OCP_FP8
|
|
__host__ __device__ explicit operator _Float16() const
|
|
#else
|
|
__host__ explicit operator _Float16() const
|
|
#endif
|
|
{
|
|
#if CK_OCP_FP8_CVT_FAST_PATH
|
|
return static_cast<_Float16>(fp8_impl::cast_to_f32_from_f8<default_interpret>(this->data));
|
|
#else
|
|
return fp8_impl::cast_from_f8<_Float16, wm, we, false>(
|
|
this->data); // XXX: clip==false must be consistent with operator float
|
|
#endif
|
|
}
|
|
};
|
|
|
|
struct bf8_ocp_t
|
|
{
|
|
using data_type = fp8_storage_t;
|
|
data_type data;
|
|
|
|
static constexpr ck_saturation_t default_saturation = ck_saturation_t::CK_SATFINITE;
|
|
static constexpr ck_fp8_interpretation_t default_interpret =
|
|
ck_fp8_interpretation_t::CK_E5M2_OCP;
|
|
|
|
static constexpr unsigned int we = 5; // exponent width
|
|
static constexpr unsigned int wm = 2; // mantissa width
|
|
|
|
__host__ __device__ constexpr bool operator==(const bf8_ocp_t& other) const
|
|
{
|
|
return (data == other.data) && (fp8_impl::ocp_bf8_is_nan(data) == false); // NaN != NaN
|
|
}
|
|
|
|
#if CK_USE_OCP_FP8
|
|
__host__ __device__ explicit operator float() const
|
|
|
|
#else
|
|
__host__ explicit operator float() const
|
|
#endif
|
|
{
|
|
#if defined(__gfx1200__) || defined(__gfx1201__)
|
|
return fp8_impl::cast_to_f32_from_f8<default_interpret>(this->data);
|
|
#else
|
|
return fp8_impl::cast_from_f8<float, wm, we, false>(
|
|
this->data); // XXX: clip==false must be consistent with operator _Float16
|
|
#endif
|
|
}
|
|
|
|
#if CK_USE_OCP_FP8
|
|
__host__ __device__ explicit operator _Float16() const
|
|
#else
|
|
__host__ explicit operator _Float16() const
|
|
#endif
|
|
{
|
|
#if defined(__gfx1200__) || defined(__gfx1201__)
|
|
return static_cast<_Float16>(fp8_impl::cast_to_f32_from_f8<default_interpret>(this->data));
|
|
#else
|
|
return fp8_impl::cast_from_f8<_Float16, wm, we, false>(
|
|
this->data); // XXX: clip==false must be consistent with operator float
|
|
#endif
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
__host__ __device__ static inline constexpr bool fp8_is_nan(T);
|
|
|
|
template <>
|
|
__host__ __device__ inline constexpr bool fp8_is_nan(f8_ocp_t a)
|
|
{
|
|
return fp8_impl::ocp_f8_is_nan(a.data);
|
|
}
|
|
template <>
|
|
__host__ __device__ inline constexpr bool fp8_is_nan(bf8_ocp_t a)
|
|
{
|
|
return fp8_impl::ocp_bf8_is_nan(a.data);
|
|
}
|
|
template <>
|
|
__host__ __device__ inline constexpr bool fp8_is_nan(f8_fnuz_t a)
|
|
{
|
|
return fp8_impl::fnuz_f8_is_nan(a);
|
|
}
|
|
template <>
|
|
__host__ __device__ inline constexpr bool fp8_is_nan(bf8_fnuz_t a)
|
|
{
|
|
return fp8_impl::fnuz_bf8_is_nan(a);
|
|
}
|
|
|
|
template <typename T,
|
|
std::enable_if_t<std::is_same_v<T, bf8_ocp_t> || std::is_same_v<T, f8_ocp_t> ||
|
|
std::is_same_v<T, bf8_fnuz_t> || std::is_same_v<T, f8_fnuz_t>,
|
|
bool> = true>
|
|
__host__ __device__ static inline constexpr bool fp8_is_inf(T)
|
|
{
|
|
return false;
|
|
}
|
|
template <>
|
|
__host__ __device__ inline constexpr bool fp8_is_inf(bf8_ocp_t a)
|
|
{
|
|
return (a.data & 0x7f) == 0x7c;
|
|
}
|
|
|
|
namespace fp8_impl {
|
|
|
|
// Assertions to check for supported conversion types
|
|
#define __assert_ocp_support(interp) \
|
|
{ \
|
|
if(interp != ck_fp8_interpretation_t::CK_E4M3_OCP && \
|
|
interp != ck_fp8_interpretation_t::CK_E5M2_OCP) \
|
|
{ \
|
|
__hip_assert(false && "type is unsupported by current target device"); \
|
|
} \
|
|
}
|
|
#define __assert_fnuz_support(interp) \
|
|
{ \
|
|
if(interp != ck_fp8_interpretation_t::CK_E4M3_FNUZ && \
|
|
interp != ck_fp8_interpretation_t::CK_E5M2_FNUZ) \
|
|
{ \
|
|
__hip_assert(false && "type is unsupported by current target device"); \
|
|
} \
|
|
}
|
|
|
|
__host__ __device__ static inline void
|
|
__is_interpret_supported([[maybe_unused]] ck_fp8_interpretation_t interp)
|
|
{
|
|
#if defined(__HIP_DEVICE_COMPILE__) && __HIP_DEVICE_COMPILE__
|
|
#if CK_USE_OCP_FP8
|
|
__assert_ocp_support(interp);
|
|
#endif
|
|
#if CK_USE_FNUZ_FP8
|
|
__assert_fnuz_support(interp);
|
|
#endif
|
|
#endif
|
|
}
|
|
|
|
#if CK_FP8_CVT_FAST_PATH
|
|
// The conversion function is from rocblas
|
|
// https://github.com/ROCm/rocBLAS/blob/9b7f692abe3c54b88d1e77e045a7db7f1f188b69/library/include/internal/rocblas_float8.h#L79
|
|
template <ck_fp8_interpretation_t interpret, bool saturate, bool stochastic_rounding = false>
|
|
static __device__ fp8_storage_t cast_to_f8_from_f32(float v, unsigned int rng = 0)
|
|
{
|
|
fp8_storage_t i8data;
|
|
union
|
|
{
|
|
float fval;
|
|
unsigned int i32val;
|
|
unsigned char i8val[4]; // NOTE: not endian independent
|
|
} val;
|
|
|
|
unsigned int ival = 0;
|
|
val.fval = v;
|
|
|
|
if constexpr(saturate)
|
|
{
|
|
if constexpr(interpret == ck_fp8_interpretation_t::CK_E4M3_FNUZ)
|
|
{
|
|
if((val.i32val & 0x7F800000) != 0x7F800000)
|
|
{ /// propagate NAN/INF, no clipping
|
|
val.fval = __builtin_amdgcn_fmed3f(val.fval, 240.0, -240.0);
|
|
}
|
|
}
|
|
else if constexpr(interpret == ck_fp8_interpretation_t::CK_E4M3_OCP)
|
|
{ // OCP type
|
|
if((val.i32val & 0x7F800000) != 0x7F800000)
|
|
{ /// propagate NAN/INF, no clipping
|
|
val.fval = __builtin_amdgcn_fmed3f(val.fval, 448.0, -448.0);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
if((val.i32val & 0x7F800000) != 0x7F800000)
|
|
{ /// propagate NAN/INF, no clipping
|
|
val.fval = __builtin_amdgcn_fmed3f(val.fval, 57344.0, -57344.0);
|
|
}
|
|
}
|
|
}
|
|
|
|
if constexpr(stochastic_rounding)
|
|
{
|
|
ival = (interpret == ck_fp8_interpretation_t::CK_E4M3_FNUZ) ||
|
|
(interpret == ck_fp8_interpretation_t::CK_E4M3_OCP)
|
|
? __builtin_amdgcn_cvt_sr_fp8_f32(val.fval, rng, ival, 0)
|
|
: __builtin_amdgcn_cvt_sr_bf8_f32(val.fval, rng, ival, 0); // 0 pos
|
|
val.i32val = ival;
|
|
i8data = val.i8val[0]; // little endian
|
|
}
|
|
else
|
|
{ // RNE CVT
|
|
ival = (interpret == ck_fp8_interpretation_t::CK_E4M3_FNUZ) ||
|
|
(interpret == ck_fp8_interpretation_t::CK_E4M3_OCP)
|
|
? __builtin_amdgcn_cvt_pk_fp8_f32(val.fval, val.fval, ival, false)
|
|
: __builtin_amdgcn_cvt_pk_bf8_f32(val.fval,
|
|
val.fval,
|
|
ival,
|
|
false); // false -> WORD0
|
|
val.i32val = ival;
|
|
i8data = val.i8val[0];
|
|
}
|
|
return i8data;
|
|
}
|
|
#endif // CK_FP8_CVT_FAST_PATH
|
|
|
|
// The conversion function is from rocblas
|
|
// https://github.com/ROCm/rocBLAS/blob/9b7f692abe3c54b88d1e77e045a7db7f1f188b69/library/include/internal/rocblas_hip_f8_impl.h#L39
|
|
// This has been modified to add double types conversion as well
|
|
template <typename T, int wm, int we, bool is_fnuz, bool clip = false, bool stoch = false>
|
|
__host__ __device__ static inline fp8_storage_t cast_to_f8(T _x, unsigned int rng = 0)
|
|
{
|
|
constexpr bool is_half = __hip_internal::is_same<T, _Float16>::value;
|
|
constexpr bool is_float = __hip_internal::is_same<T, float>::value;
|
|
constexpr bool is_double = __hip_internal::is_same<T, double>::value;
|
|
static_assert(is_half || is_float || is_double,
|
|
"Only half, float and double can be cast to f8");
|
|
|
|
constexpr int mfmt = (sizeof(T) == 8) ? 52 : ((sizeof(T) == 4) ? 23 : 10);
|
|
|
|
using T_bitwise = typename __hip_internal::conditional<
|
|
sizeof(T) == 2,
|
|
unsigned short int,
|
|
typename __hip_internal::conditional<sizeof(T) == 4, unsigned int, unsigned long long>::
|
|
type>::type;
|
|
T_bitwise x_bitwise = bit_cast<T_bitwise>(_x);
|
|
|
|
unsigned long long x{x_bitwise};
|
|
|
|
unsigned long long head, mantissa;
|
|
int exponent, bias;
|
|
unsigned int sign;
|
|
unsigned long long fInf, mask;
|
|
|
|
if constexpr(sizeof(T) == 8)
|
|
{
|
|
head = x & 0xFFF0000000000000ull;
|
|
mantissa = x & 0xFFFFFFFFFFFFFull;
|
|
exponent = (head >> 52) & 0x7FF;
|
|
sign = head >> 63;
|
|
bias = 1023;
|
|
fInf = 0x7FF0000000000000ull;
|
|
mask = 0x7FFFFFFFFFFFFFFFull;
|
|
}
|
|
else if constexpr(sizeof(T) == 4)
|
|
{
|
|
head = x & 0xFF800000;
|
|
mantissa = x & 0x7FFFFF;
|
|
exponent = (head >> 23) & 0xFF;
|
|
sign = head >> 31;
|
|
bias = 127;
|
|
fInf = 0x7F800000;
|
|
mask = 0x7FFFFFFF;
|
|
}
|
|
else
|
|
{
|
|
head = x & 0xFC00;
|
|
mantissa = x & 0x3FF;
|
|
exponent = (head >> 10) & 0x1F;
|
|
sign = head >> 15;
|
|
bias = 15;
|
|
fInf = 0x7C00;
|
|
mask = 0x7FFF;
|
|
}
|
|
unsigned int signed_inf = 0;
|
|
unsigned int nan = 0;
|
|
if constexpr(is_fnuz)
|
|
{
|
|
signed_inf = clip ? ((sign << 7) + 0x7f) : 0x80;
|
|
nan = 0x80;
|
|
}
|
|
else
|
|
{
|
|
if constexpr(we == 4)
|
|
{ // e4m3
|
|
signed_inf = (sign << 7) + (clip ? 0x7e : 0x7f);
|
|
}
|
|
else
|
|
{ // e5m2
|
|
signed_inf = (sign << 7) + (clip ? 0x7b : 0x7c);
|
|
}
|
|
nan = (sign << 7) + 0x7f;
|
|
}
|
|
// Max values
|
|
unsigned long long ifmax = 0;
|
|
if constexpr(sizeof(T) == 8)
|
|
{
|
|
if constexpr(we == 5)
|
|
{ // 57344
|
|
ifmax = 0x40EC000000000000ull;
|
|
}
|
|
else
|
|
{
|
|
if constexpr(is_fnuz)
|
|
{ // 240
|
|
ifmax = 0x406E000000000000ull;
|
|
}
|
|
else
|
|
{ // 448
|
|
ifmax = 0x407C000000000000ull;
|
|
}
|
|
}
|
|
}
|
|
else if(sizeof(T) == 4)
|
|
{
|
|
if constexpr(we == 5)
|
|
{
|
|
ifmax = 0x47600000;
|
|
}
|
|
else
|
|
{
|
|
if constexpr(is_fnuz)
|
|
{
|
|
ifmax = 0x43700000;
|
|
}
|
|
else
|
|
{
|
|
ifmax = 0x43E00000;
|
|
}
|
|
}
|
|
}
|
|
else
|
|
{
|
|
if constexpr(we == 5)
|
|
{
|
|
ifmax = 0x7B00;
|
|
}
|
|
else
|
|
{
|
|
if constexpr(is_fnuz)
|
|
{
|
|
ifmax = 0x5B80;
|
|
}
|
|
else
|
|
{
|
|
ifmax = 0x5F00;
|
|
}
|
|
}
|
|
}
|
|
// Deal with inf and NaNs
|
|
if((x & fInf) == fInf)
|
|
{
|
|
if constexpr(is_fnuz)
|
|
return signed_inf;
|
|
|
|
return mantissa != 0 ? nan : signed_inf;
|
|
}
|
|
|
|
if((x & mask) > ifmax)
|
|
{
|
|
return signed_inf;
|
|
}
|
|
|
|
if(x == 0)
|
|
{
|
|
return 0;
|
|
}
|
|
|
|
// First need to check if it is normal or denorm as there is a difference of
|
|
// implicit 1 Then need to adjust the exponent to align with the F8 exponent,
|
|
// in the meanwhile, shift The mantissa. Then for stochastic rounding, add rng
|
|
// to mantissa and truncate. And for RNE, no need to add rng. Then probably
|
|
// need to check whether there is carry and adjust exponent and mantissa again
|
|
|
|
// For IEEE bias mode, the bias is 2^(k-1) -1 where k is the width of exponent
|
|
// bits
|
|
const int f8_bias = (1 << (we - 1)) - 1 + (is_fnuz ? 1 : 0);
|
|
const int f8_denormal_act_exponent = 1 - f8_bias; // actual exponent of f8 denormal
|
|
// act_exponent is the actual exponent of fp32/fp16 (after subtracting bias)
|
|
// f8_exponent is the converted f8 exponent with bias encoding
|
|
// exponent_diff is the diff between fp32/fp16 exponent and f8 exponent,
|
|
// the difference needs to be adjusted and mantissa shifted
|
|
int act_exponent, f8_exponent, exponent_diff;
|
|
|
|
if(exponent == 0)
|
|
{ // fp32/fp16 is in denormal.
|
|
/* fp32 denormal is below 2^-127 so it is usually not a concern here, we
|
|
mostly concern fp16 here. In this case, f8 is usually in denormal. But there
|
|
could be exceptions. fp16 denormal has exponent bias 15 while bf8 with NANOO has
|
|
exponent bias 16. It means that there are some numbers in fp16 denormal but they
|
|
are bf8 (NANOO) normals - smallest bf8 (NANOO) normal is 2^-15. fp16 numbers
|
|
where exponent==0 (actual exponent -14) and highest bit of mantissa is 1 are bf8
|
|
(NANOO) normal. In this case, the fp16 mantissa should be shift left by 1 */
|
|
act_exponent = exponent - bias + 1;
|
|
exponent_diff = f8_denormal_act_exponent -
|
|
act_exponent; // actual exponent is exponent-bias+1 as it is denormal
|
|
}
|
|
else
|
|
{ // fp32/fp16 is normal with implicit 1
|
|
act_exponent = exponent - bias;
|
|
if(act_exponent <= f8_denormal_act_exponent)
|
|
{
|
|
/* This is the case where fp32/fp16 is normal but it is in f8 denormal
|
|
range. For example fp8 nanoo mode, denormal exponent is -7, but if the fp32/fp16
|
|
actual exponent is -7, it is actually larger due to the implicit 1,
|
|
Therefore it needs to be adjust to -6 and mantissa shift right by 1.
|
|
So for fp32/fp16, exponent -8 is the cut point to convert to fp8 nanoo */
|
|
exponent_diff = f8_denormal_act_exponent - act_exponent;
|
|
}
|
|
else
|
|
{ // both fp32/fp16 and f8 are in normal range
|
|
exponent_diff = 0; // exponent_diff=0 does not mean there is no difference
|
|
// for this case, act_exponent could be larger. Just
|
|
// that it does not need shift mantissa
|
|
}
|
|
mantissa += (1ull << mfmt); // Add the implicit 1 into mantissa
|
|
}
|
|
|
|
bool midpoint = (mantissa & ((1ull << (mfmt - wm + exponent_diff)) - 1)) ==
|
|
(1ull << (mfmt - wm + exponent_diff - 1));
|
|
/* This part is a bit tricky. The judgment of whether it is a tie needs to be
|
|
done before we shift right as shift right could rip off some residual part and
|
|
make something not midpoint look like midpoint. For example, the fp16 number
|
|
0x1002 (0 00100 0000000010), it is larger than midpoint, but after shift right
|
|
by 4 bits, it would look like midpoint.
|
|
*/
|
|
|
|
if(exponent_diff > 0)
|
|
mantissa >>= exponent_diff;
|
|
else if(exponent_diff == -1)
|
|
mantissa <<= -exponent_diff;
|
|
bool implicit_one = mantissa & (1ull << mfmt);
|
|
// if there is no implicit 1, it means the f8 is denormal and need to adjust
|
|
// to denorm exponent
|
|
f8_exponent =
|
|
(act_exponent + exponent_diff) /*actual f8 exponent*/ + f8_bias - (implicit_one ? 0 : 1);
|
|
|
|
// Now we have the exponent and mantissa adjusted
|
|
unsigned long long drop_mask = (1ull << (mfmt - wm)) - 1;
|
|
bool odd =
|
|
mantissa & (1ull << (mfmt - wm)); // if the least significant bit that is not truncated is 1
|
|
mantissa +=
|
|
(stoch ? rng : (midpoint ? (odd ? mantissa : mantissa - 1ull) : mantissa)) & drop_mask;
|
|
|
|
// Now we deal with overflow
|
|
if(f8_exponent == 0)
|
|
{
|
|
if((1ull << mfmt) & mantissa)
|
|
{
|
|
f8_exponent = 1; // denormal overflow to become normal, promote exponent
|
|
}
|
|
}
|
|
else
|
|
{
|
|
if((1ull << (mfmt + 1)) & mantissa)
|
|
{
|
|
mantissa >>= 1;
|
|
f8_exponent++;
|
|
}
|
|
}
|
|
|
|
mantissa >>= (mfmt - wm);
|
|
|
|
// above range: quantize to maximum possible float of the same sign
|
|
const int max_exp = (1 << we) - 1;
|
|
if(f8_exponent > max_exp)
|
|
{
|
|
if constexpr(clip)
|
|
{
|
|
mantissa = (1 << wm) - 1;
|
|
f8_exponent = max_exp;
|
|
}
|
|
else
|
|
{
|
|
return signed_inf;
|
|
}
|
|
}
|
|
|
|
if(f8_exponent == 0 && mantissa == 0)
|
|
return is_fnuz ? 0 : (sign << 7);
|
|
mantissa &= (1 << wm) - 1;
|
|
return (sign << 7) | (f8_exponent << wm) | mantissa;
|
|
}
|
|
|
|
/**
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* \brief convert float to @p fp8_storage_t
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*
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* \tparam interp interpretation of fp8
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* \tparam sat saturation of fp8
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* \param f float number
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* \return fp8_storage_t
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*/
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template <ck_fp8_interpretation_t interp,
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ck_saturation_t sat = ck_saturation_t::CK_SATFINITE,
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bool stochastic_rounding = false>
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#if CK_FP8_CVT_FAST_PATH
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__host__ __device__ static inline fp8_storage_t cvt_float_to_fp8(const float f)
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{
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__is_interpret_supported(interp);
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uint32_t rng = 0;
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if constexpr(stochastic_rounding)
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{
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constexpr int seed = 1254739;
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rng = prand_generator<float, seed>(reinterpret_cast<uintptr_t>(&f), f);
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}
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return cast_to_f8_from_f32<interp, sat == ck_saturation_t::CK_SATFINITE, stochastic_rounding>(
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f, rng);
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#else
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#if CK_USE_OCP_FP8
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__host__ __device__ static inline fp8_storage_t cvt_float_to_fp8(const float f)
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{
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#else
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__host__ static inline fp8_storage_t cvt_float_to_fp8(const float f)
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{
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#endif
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uint32_t rng = 0;
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if constexpr(stochastic_rounding)
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{
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constexpr int seed = 1254739;
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rng = prand_generator<float, seed>(reinterpret_cast<uintptr_t>(&f), f);
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}
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if constexpr(interp == ck_fp8_interpretation_t::CK_E4M3_FNUZ)
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{
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return cast_to_f8<float,
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3,
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4,
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true,
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sat == ck_saturation_t::CK_SATFINITE,
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stochastic_rounding>(f, rng);
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}
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else if constexpr(interp == ck_fp8_interpretation_t::CK_E5M2_FNUZ)
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{
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return cast_to_f8<float,
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2,
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5,
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true,
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sat == ck_saturation_t::CK_SATFINITE,
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stochastic_rounding>(f, rng);
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}
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else if constexpr(interp == ck_fp8_interpretation_t::CK_E4M3_OCP)
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{
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return cast_to_f8<float,
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3,
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4,
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false,
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sat == ck_saturation_t::CK_SATFINITE,
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stochastic_rounding>(f, rng);
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}
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else if constexpr(interp == ck_fp8_interpretation_t::CK_E5M2_OCP)
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{
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return cast_to_f8<float,
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2,
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5,
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false,
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sat == ck_saturation_t::CK_SATFINITE,
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stochastic_rounding>(f, rng);
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}
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else
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{
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__hip_assert(false && "FP8 type is not supported by current target device");
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return 0;
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}
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#endif // CK_FP8_CVT_FAST_PATH
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}
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/**
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* \brief convert _Float16 to @p fp8_storage_t
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*
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* \tparam sat saturation of fp8
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* \tparam interp interpretation of fp8
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* \tparam stochastic_rounding switch between RNE and SR
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* \param x _Float16 value
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* \return fp8_storage_t
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*/
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template <ck_fp8_interpretation_t interp,
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ck_saturation_t sat = ck_saturation_t::CK_SATFINITE,
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bool stochastic_rounding = false>
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#if CK_FP8_CVT_FAST_PATH || CK_USE_OCP_FP8
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__host__ __device__ static inline fp8_storage_t cvt_half_t_to_fp8(const _Float16 x)
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#else
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__host__ static inline fp8_storage_t cvt_half_t_to_fp8(const _Float16 x)
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#endif
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{
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return cvt_float_to_fp8<interp, sat, stochastic_rounding>(static_cast<float>(x));
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}
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} // namespace fp8_impl
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// Declare a template function for fp8 conversion using RNE
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template <typename Y, typename X>
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__host__ __device__ constexpr Y f8_convert_rne(X x);
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// convert fp32 to fp8 with rounding to nearest even
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template <>
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inline __host__ __device__ f8_ocp_t f8_convert_rne<f8_ocp_t, float>(float x)
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{
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return f8_ocp_t{
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fp8_impl::cvt_float_to_fp8<f8_ocp_t::default_interpret, f8_ocp_t::default_saturation>(x)};
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}
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// convert fp32 to bf8 with rounding to nearest even
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template <>
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inline __host__ __device__ bf8_ocp_t f8_convert_rne<bf8_ocp_t, float>(float x)
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{
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return bf8_ocp_t{
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fp8_impl::cvt_float_to_fp8<bf8_ocp_t::default_interpret, bf8_ocp_t::default_saturation>(x)};
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}
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// convert _Float16 to fp8 with rounding to nearest even
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template <>
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inline __host__ __device__ f8_ocp_t f8_convert_rne<f8_ocp_t, _Float16>(_Float16 x)
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{
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return f8_ocp_t{
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fp8_impl::cvt_half_t_to_fp8<f8_ocp_t::default_interpret, f8_ocp_t::default_saturation>(x)};
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}
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template <>
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inline __host__ __device__ bf8_ocp_t f8_convert_rne<bf8_ocp_t, _Float16>(_Float16 x)
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{
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return bf8_ocp_t{
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fp8_impl::cvt_half_t_to_fp8<bf8_ocp_t::default_interpret, bf8_ocp_t::default_saturation>(
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x)};
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}
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// Declare a template function for fp8 conversion using RNE
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template <typename Y, typename X>
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__host__ __device__ constexpr Y f8_convert_sr(X x);
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// convert fp32 to fp8 with stochastic rounding
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template <>
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inline __host__ __device__ f8_ocp_t f8_convert_sr<f8_ocp_t, float>(float x)
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{
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return f8_ocp_t{
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fp8_impl::cvt_float_to_fp8<f8_ocp_t::default_interpret, f8_ocp_t::default_saturation, true>(
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x)};
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}
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// convert fp32 to bf8 with stochastic rounding
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template <>
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inline __host__ __device__ bf8_ocp_t f8_convert_sr<bf8_ocp_t, float>(float x)
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{
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return bf8_ocp_t{fp8_impl::cvt_float_to_fp8<bf8_ocp_t::default_interpret,
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bf8_ocp_t::default_saturation,
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true>(x)};
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}
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// convert _Float16 to fp8 with stochastic rounding
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template <>
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inline __host__ __device__ f8_ocp_t f8_convert_sr<f8_ocp_t, _Float16>(_Float16 x)
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{
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return f8_ocp_t{fp8_impl::cvt_half_t_to_fp8<f8_ocp_t::default_interpret,
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f8_ocp_t::default_saturation,
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true>(x)};
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}
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// convert _Float16 to bf8 with stochastic rounding
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template <>
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inline __host__ __device__ bf8_ocp_t f8_convert_sr<bf8_ocp_t, _Float16>(_Float16 x)
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{
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return bf8_ocp_t{fp8_impl::cvt_half_t_to_fp8<bf8_ocp_t::default_interpret,
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bf8_ocp_t::default_saturation,
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true>(x)};
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}
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#if CK_USE_OCP_FP8
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using f8_t = f8_ocp_t;
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using bf8_t = bf8_ocp_t;
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#define CK_FP8_TYPE_FNUZ 0
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#define CK_FP8_TYPE_OCP 1
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#else
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using f8_t = f8_fnuz_t;
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using bf8_t = bf8_fnuz_t;
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#define CK_FP8_TYPE_FNUZ 1
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#define CK_FP8_TYPE_OCP 0
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#endif
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} // namespace ck
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