mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-01 12:11:19 +00:00
introducing ck_tile! (#1216)
* enable gfx940
* switch between intrinsic mfma routines on mi100/200 and mi300
* fix mfma_int8 on MI300
* disable 2 int8 examples on MI300
* Update cmake-ck-dev.sh
* restore gitignore file
* modify Jenkinsfile to the internal repo
* 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
* add code
* fix build wip
* fix xx
* now can build
* naming
* minor fix
* wip fix
* fix macro for exp2; fix warpgemm a/b in transposedC
* unify as tuple_array
* Update the required Python version to 3.9
* Update executable name in test scripts
* re-structure tuple/array to avoid spill
* Merge function templates
* Fix format
* Add constraint to array<> ctor
* Re-use function
* Some minor changes
* remove wrong code in store_raw()
* fix compile issue in transpose
* Rename enum
Rename 'cood_transform_enum' to 'coord_transform_enum'
* let more integral_constant->constant, and formating
* make sure thread_buffer can be tuple/array
* temp fix buffer_store spill
* not using custom data type by default, now we can have ISA-level same code as opt_padding
* fix compile error, fp8 not ready now
* fix fp8 duplicated move/shift/and/or problem
* Default use CK_TILE_FLOAT_TO_FP8_STOCHASTIC rounding mode
* fix scratch in fp8 kernel
* update some readme
* fix merge from upstream
* sync with upstream
* sync upstream again
* sync 22
* remove unused
* fix clang-format
* update README of ck_tile example
* fix several issue
* let python version to be 3.8 as minimal
* remove ck_tile example from default cmake target like all/install/check
* remove mistake
* 1).support receipe in generate.py 2).use simplified mask type 3).change left/right to pass into karg
* fix some bug in group-mode masking and codegen. update README
* F8 quantization for FMHA forward (#1224)
* Add SAccElementFunction, PComputeElementFunction, OAccElementFunction in pipeline
* Add element function to fmha api
* Adjust P elementwise function
* Fix bug of elementwise op, our elementwise op is not inout
* Add some elementwise op, prepare to quantization
* Let generate.py can generate different elementwise function
* To prevent compiler issue, remove the elementwise function we have not used.
* Remove f8 pipeline, we should share the same pipeline even in f8
* Remove remove_cvref_t
* Avoid warning
* Fix wrong fp8 QK/KV block gemm setting
* Check fp8 rounding error in check_err()
* Set fp8 rounding error for check_err()
* Use CK_TILE_FLOAT_TO_FP8_STANDARD as default fp8 rounding mode
* 1. codgen the f8 api and kernel
2. f8 host code
* prevent warning in filter mode
* Remove not-in-use elementwise function kargs
* Remove more not-in-use elementwise function kargs
* Small refinements in C++ source files
* Use conditional_t<> to simplify code
* Support heterogeneous argument for binary function types
* Re-use already-existing scales<> functor template
* Fix wrong value produced by saturating
* Generalize the composes<> template
* Unify saturates<> implementation
* Fix type errors in composes<>
* Extend less_equal<>
* Reuse the existing template less_equal<> in check_err()
* Add equal<float> & equal<double>
* Rename check_err() parameter
* Rename check_err() parameter
* Add FIXME comment for adding new macro in future
* Remove unnecessary cast to void
* Eliminate duplicated code
* Avoid dividing api pool into more than 2 groups
* Use more clear variable names
* Use affirmative condition in if stmt
* Remove blank lines
* Donot perfect forwarding in composes<>
* To fix compile error, revert generate.py back to 4439cc107d
* Fix bug of p element function
* Add compute element op to host softmax
* Remove element function in api interface
* Extract user parameter
* Rename pscale and oscale variable
* rename f8 to fp8
* rename more f8 to fp8
* Add pipeline::operator() without element_functor
* 1. Remove deprecated pipeline enum
2. Refine host code parameter
* Use quantization range as input
* 1. Rename max_dtype to dtype_max.
2. Rename scale to scale_s
3.Add init description
* Refine description
* prevent early return
* unify _squant kernel name in cpp, update README
* Adjust the default range.
* Refine error message and bias range
* Add fp8 benchmark and smoke test
* fix fp8 swizzle_factor=4 case
---------
Co-authored-by: Po Yen Chen <PoYen.Chen@amd.com>
Co-authored-by: carlushuang <carlus.huang@amd.com>
---------
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: illsilin <Illia.Silin@amd.com>
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
Co-authored-by: Jing Zhang <jizha@amd.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Po-Yen, Chen <PoYen.Chen@amd.com>
Co-authored-by: rocking <ChunYu.Lai@amd.com>
This commit is contained in:
112
include/ck_tile/host/device_memory.hpp
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112
include/ck_tile/host/device_memory.hpp
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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#include <hip/hip_runtime.h>
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#include <stdint.h>
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#include <stdexcept>
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#include "ck_tile/host/hip_check_error.hpp"
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namespace ck_tile {
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template <typename T>
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__global__ void set_buffer_value(T* p, T x, uint64_t buffer_element_size)
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{
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for(uint64_t i = threadIdx.x; i < buffer_element_size; i += blockDim.x)
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{
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p[i] = x;
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}
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}
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/**
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* @brief Container for storing data in GPU device memory
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*
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*/
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struct DeviceMem
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{
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DeviceMem() : mpDeviceBuf(nullptr), mMemSize(0) {}
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DeviceMem(std::size_t mem_size) : mMemSize(mem_size)
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{
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HIP_CHECK_ERROR(hipMalloc(static_cast<void**>(&mpDeviceBuf), mMemSize));
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}
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void Realloc(std::size_t mem_size)
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{
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if(mpDeviceBuf)
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{
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HIP_CHECK_ERROR(hipFree(mpDeviceBuf));
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}
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mMemSize = mem_size;
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HIP_CHECK_ERROR(hipMalloc(static_cast<void**>(&mpDeviceBuf), mMemSize));
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}
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void* GetDeviceBuffer() const { return mpDeviceBuf; }
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std::size_t GetBufferSize() const { return mMemSize; }
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void ToDevice(const void* p) const
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{
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if(mpDeviceBuf)
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{
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HIP_CHECK_ERROR(
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hipMemcpy(mpDeviceBuf, const_cast<void*>(p), mMemSize, hipMemcpyHostToDevice));
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}
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else
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{
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throw std::runtime_error("ToDevice with an empty pointer");
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}
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}
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void ToDevice(const void* p, const std::size_t cpySize) const
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{
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HIP_CHECK_ERROR(
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hipMemcpy(mpDeviceBuf, const_cast<void*>(p), cpySize, hipMemcpyHostToDevice));
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}
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void FromDevice(void* p) const
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{
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if(mpDeviceBuf)
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{
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HIP_CHECK_ERROR(hipMemcpy(p, mpDeviceBuf, mMemSize, hipMemcpyDeviceToHost));
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}
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else
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{
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throw std::runtime_error("FromDevice with an empty pointer");
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}
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}
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void FromDevice(void* p, const std::size_t cpySize) const
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{
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HIP_CHECK_ERROR(hipMemcpy(p, mpDeviceBuf, cpySize, hipMemcpyDeviceToHost));
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}
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void SetZero() const
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{
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if(mpDeviceBuf)
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{
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HIP_CHECK_ERROR(hipMemset(mpDeviceBuf, 0, mMemSize));
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}
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}
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template <typename T>
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void SetValue(T x) const
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{
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if(mMemSize % sizeof(T) != 0)
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{
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throw std::runtime_error("wrong! not entire DeviceMem will be set");
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}
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// TODO: call a gpu kernel to set the value (?)
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set_buffer_value<T><<<1, 1024>>>(static_cast<T*>(mpDeviceBuf), x, mMemSize / sizeof(T));
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}
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~DeviceMem()
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{
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if(mpDeviceBuf)
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{
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try
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{
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HIP_CHECK_ERROR(hipFree(mpDeviceBuf));
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}
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catch(std::runtime_error& re)
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{
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std::cerr << re.what() << std::endl;
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}
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}
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}
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void* mpDeviceBuf;
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std::size_t mMemSize;
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};
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} // namespace ck_tile
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