derek.holloway
7502bf64a4
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587 lines
22 KiB
C++
587 lines
22 KiB
C++
/*******************************************************************************
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*
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* MIT License
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*
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* Copyright (C) 2022-2025 Advanced Micro Devices, Inc.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*
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*******************************************************************************/
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#pragma once
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#include "allclose.hpp"
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#include "cblas.h"
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#include "hipblaslt_ostream.hpp"
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#include "hipblaslt_vector.hpp"
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#include "utility.hpp"
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#include <cstdio>
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#include <hipblaslt/hipblaslt.h>
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#include <limits>
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#include <memory>
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/* =====================================================================
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allclose check: abs(A-B) <= atol + abs(rtol * B)
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=================================================================== */
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/*!\file
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* \brief compares two results (usually, CPU and GPU results); provides allclose check
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*/
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/* ============== Allclose Check for General Matrix ============= */
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/*! \brief compare the allclose error of two matrices hCPU & hGPU */
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template <typename T>
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bool allclose(size_t* N, T* a, T* b, double atol, double rtol, bool equal_nan = false)
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{
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for(size_t i = 0; i < *N; i++)
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{
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//Returning ture immediately if 2 elements are identical.
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//This also can handle inf == inf case
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if(a[i] == b[i])
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continue;
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//NaNs compare equal when equal_nan is true
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if(equal_nan && (std::isnan(a[i]) && std::isnan(b[i])))
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continue;
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if(equal_nan && (std::isnan(a[i]) ^ std::isnan(b[i])))
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return false;
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double error = std::abs(a[i] - b[i]);
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double tolerance = atol + std::abs(rtol * b[i]);
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if(!(error <= tolerance))
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return false;
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}
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return true;
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}
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template <
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typename T,
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std::enable_if_t<!(std::is_same<T, hipblaslt_f8_fnuz>{} || std::is_same<T, hipblaslt_bf8_fnuz>{}
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|| std::is_same<T, hipblaslt_f8>{} || std::is_same<T, hipblaslt_bf8>{}
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|| std::is_same<T, std::complex<float>>{}
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|| std::is_same<T, std::complex<double>>{}),
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int>
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= 0>
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bool allclose_check_general(char allclose_type,
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int64_t M,
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int64_t N,
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int64_t lda,
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T* hCPU,
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T* hGPU,
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double& hipblaslt_atol,
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double& hipblaslt_rtol)
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{
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if(M * N == 0)
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return 0;
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size_t size = N * (size_t)lda;
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host_vector<double> hCPU_double(size);
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host_vector<double> hGPU_double(size);
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for(int64_t i = 0; i < N; i++)
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{
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for(int64_t j = 0; j < M; j++)
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{
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size_t idx = j + i * (size_t)lda;
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hCPU_double[idx] = double(hCPU[idx]);
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hGPU_double[idx] = double(hGPU[idx]);
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}
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}
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std::vector<double> atols{1e-6, 1e-5, 1e-4, 1e-3, 1e-2, 1e-1};
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std::vector<double> rtols{1e-6, 1e-5, 1e-4, 1e-3, 1e-2, 1e-1};
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for(auto& atol : atols)
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{
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for(auto& rtol : rtols)
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{
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if(allclose(&size, hCPU_double.data(), hGPU_double.data(), atol, rtol, false))
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{
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hipblaslt_atol = atol;
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hipblaslt_rtol = rtol;
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//early termination for accending rtols
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break;
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}
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}
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//early termination for accending atols
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if(hipblaslt_atol != 1)
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break;
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}
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if(hipblaslt_atol == 1)
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{
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return false;
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}
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return true;
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}
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template <typename T,
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std::enable_if_t<(std::is_same<T, hipblaslt_f8_fnuz>{}
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|| std::is_same<T, hipblaslt_bf8_fnuz>{}),
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int>
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= 0>
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bool allclose_check_general(char allclose_type,
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int64_t M,
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int64_t N,
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int64_t lda,
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T* hCPU,
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T* hGPU,
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double& hipblaslt_atol,
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double& hipblaslt_rtol)
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{
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if(M * N == 0)
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return 0;
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size_t size = N * (size_t)lda;
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host_vector<double> hCPU_double(size);
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host_vector<double> hGPU_double(size);
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for(int64_t i = 0; i < N; i++)
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{
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for(int64_t j = 0; j < M; j++)
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{
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size_t idx = j + i * (size_t)lda;
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hCPU_double[idx] = double(float(hCPU[idx]));
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hGPU_double[idx] = double(float(hGPU[idx]));
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}
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}
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std::vector<double> atols{1e-6, 1e-5, 1e-4, 1e-3, 1e-2, 1e-1};
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std::vector<double> rtols{1e-6, 1e-5, 1e-4, 1e-3, 1e-2, 1e-1};
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for(auto& atol : atols)
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{
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for(auto& rtol : rtols)
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{
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if(allclose(&size, hCPU_double.data(), hGPU_double.data(), atol, rtol, false))
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{
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hipblaslt_atol = atol;
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hipblaslt_rtol = rtol;
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//early termination for accending rtols
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break;
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}
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}
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//early termination for accending atols
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if(hipblaslt_atol != 1)
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break;
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}
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if(hipblaslt_atol == 1)
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{
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return false;
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}
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return true;
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}
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template <
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typename T,
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std::enable_if_t<(std::is_same<T, hipblaslt_f8>{} || std::is_same<T, hipblaslt_bf8>{}), int>
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= 0>
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bool allclose_check_general(char allclose_type,
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int64_t M,
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int64_t N,
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int64_t lda,
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T* hCPU,
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T* hGPU,
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double& hipblaslt_atol,
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double& hipblaslt_rtol)
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{
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if(M * N == 0)
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return 0;
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size_t size = N * (size_t)lda;
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host_vector<double> hCPU_double(size);
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host_vector<double> hGPU_double(size);
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for(int64_t i = 0; i < N; i++)
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{
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for(int64_t j = 0; j < M; j++)
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{
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size_t idx = j + i * (size_t)lda;
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hCPU_double[idx] = double(float(hCPU[idx]));
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hGPU_double[idx] = double(float(hGPU[idx]));
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}
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}
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std::vector<double> atols{1e-6, 1e-5, 1e-4, 1e-3, 1e-2, 1e-1};
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std::vector<double> rtols{1e-6, 1e-5, 1e-4, 1e-3, 1e-2, 1e-1};
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for(auto& atol : atols)
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{
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for(auto& rtol : rtols)
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{
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if(allclose(&size, hCPU_double.data(), hGPU_double.data(), atol, rtol, false))
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{
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hipblaslt_atol = atol;
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hipblaslt_rtol = rtol;
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//early termination for accending rtols
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break;
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}
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}
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//early termination for accending atols
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if(hipblaslt_atol != 1)
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break;
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}
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if(hipblaslt_atol == 1)
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{
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return false;
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}
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return true;
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}
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// For BF16 and half, we convert the results to double first
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template <typename T,
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typename VEC,
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std::enable_if_t<std::is_same<T, hipblasLtHalf>{} || std::is_same<T, hip_bfloat16>{}, int>
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= 0>
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bool allclose_check_general(char allclose_type,
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int64_t M,
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int64_t N,
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int64_t lda,
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VEC&& hCPU,
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T* hGPU,
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double& hipblaslt_atol,
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double& hipblaslt_rtol)
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{
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if(M * N == 0)
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return 0;
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size_t size = N * (size_t)lda;
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host_vector<double> hCPU_double(size);
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host_vector<double> hGPU_double(size);
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for(int64_t i = 0; i < N; i++)
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{
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for(int64_t j = 0; j < M; j++)
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{
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size_t idx = j + i * (size_t)lda;
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hCPU_double[idx] = hCPU[idx];
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hGPU_double[idx] = hGPU[idx];
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}
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}
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return allclose_check_general<double>(
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allclose_type, M, N, lda, hCPU_double, hGPU_double, hipblaslt_atol, hipblaslt_rtol);
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}
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// For int8, we convert the results to int first
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template <typename T, typename VEC, std::enable_if_t<std::is_same<T, int8_t>{}, int> = 0>
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bool allclose_check_general(char allclose_type,
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int64_t M,
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int64_t N,
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int64_t lda,
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VEC&& hCPU,
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T* hGPU,
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double& hipblaslt_atol,
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double& hipblaslt_rtol)
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{
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if(M * N == 0)
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return 0;
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size_t size = N * (size_t)lda;
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host_vector<int> hCPU_int(size);
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host_vector<int> hGPU_int(size);
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for(int64_t i = 0; i < N; i++)
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{
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for(int64_t j = 0; j < M; j++)
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{
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size_t idx = j + i * (size_t)lda;
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hCPU_int[idx] = hCPU[idx];
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hGPU_int[idx] = hGPU[idx];
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}
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}
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return allclose_check_general<int>(
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allclose_type, M, N, lda, hCPU_int, hGPU_int, hipblaslt_atol, hipblaslt_rtol);
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}
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//For complex datatypes
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template <typename T,
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// Enable this function if T is std::complex<float> OR std::complex<double>
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std::enable_if_t<std::is_same_v<T, std::complex<float>>
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|| std::is_same_v<T, std::complex<double>>,
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int>
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= 0>
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bool allclose_check_general(char allclose_type,
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int64_t M,
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int64_t N,
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int64_t lda,
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T* hCPU,
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T* hGPU,
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double& hipblaslt_atol,
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double& hipblaslt_rtol)
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{
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if(M * N == 0)
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return true;
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size_t size = N * (size_t)lda;
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size_t total_elements = 2 * size;
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host_vector<double> hCPU_real_and_imag(total_elements);
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host_vector<double> hGPU_real_and_imag(total_elements);
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for(int64_t i = 0; i < N; i++)
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{
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for(int64_t j = 0; j < M; j++)
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{
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size_t complex_idx = j + i * (size_t)lda;
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size_t real_idx = complex_idx;
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size_t imag_idx = complex_idx + size;
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hCPU_real_and_imag[real_idx] = static_cast<double>(hCPU[complex_idx].real());
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hGPU_real_and_imag[real_idx] = static_cast<double>(hGPU[complex_idx].real());
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hCPU_real_and_imag[imag_idx] = static_cast<double>(hCPU[complex_idx].imag());
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hGPU_real_and_imag[imag_idx] = static_cast<double>(hGPU[complex_idx].imag());
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}
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}
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std::vector<double> atols{1e-6, 1e-5, 1e-4, 1e-3, 1e-2, 1e-1};
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std::vector<double> rtols{1e-6, 1e-5, 1e-4, 1e-3, 1e-2, 1e-1};
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hipblaslt_atol = 1.0;
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hipblaslt_rtol = 1.0;
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for(auto& atol : atols)
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{
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for(auto& rtol : rtols)
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{
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if(allclose(&total_elements,
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hCPU_real_and_imag.data(),
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hGPU_real_and_imag.data(),
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atol,
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rtol,
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false))
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{
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hipblaslt_atol = atol;
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hipblaslt_rtol = rtol;
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break;
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}
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}
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if(hipblaslt_atol != 1.0)
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break;
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}
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return hipblaslt_atol != 1.0;
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}
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/* ============== allclose check for strided_batched case ============= */
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template <typename T, typename T_hpa>
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bool allclose_check_general(char allclose_type,
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int64_t M,
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int64_t N,
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int64_t lda,
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int64_t stride_a,
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T_hpa* hCPU,
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T* hGPU,
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int64_t batch_count,
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double& hipblaslt_atol,
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double& hipblaslt_rtol)
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{
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if(M * N == 0)
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return 0;
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for(size_t i = 0; i < batch_count; i++)
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{
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auto index = i * stride_a;
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bool close = allclose_check_general(
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allclose_type, M, N, lda, hCPU + index, hGPU + index, hipblaslt_atol, hipblaslt_rtol);
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if(!close)
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return false;
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}
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return true;
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}
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/* ============== allclose check for batched case ============= */
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template <typename T>
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bool allclose_check_general(char allclose_type,
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int64_t M,
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int64_t N,
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int64_t lda,
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T* hCPU[],
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T* hGPU[],
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int64_t batch_count,
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double& hipblaslt_atol,
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double& hipblaslt_rtol)
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{
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if(M * N == 0)
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return 0;
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for(int64_t i = 0; i < batch_count; i++)
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{
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auto index = i;
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bool close = allclose_check_general<T>(
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allclose_type, M, N, lda, hCPU[index], hGPU[index], hipblaslt_atol, hipblaslt_rtol);
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if(!close)
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return false;
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}
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return true;
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}
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bool allclose_check_general(char allclose_type,
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int64_t M,
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int64_t N,
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int64_t lda,
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int64_t stride_a,
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void* hCPU,
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void* hGPU,
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int64_t batch_count,
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double& hipblaslt_atol,
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double& hipblaslt_rtol,
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hipDataType type)
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{
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switch(type)
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{
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case HIP_R_32F:
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|
return allclose_check_general<float>(allclose_type,
|
|
M,
|
|
N,
|
|
lda,
|
|
stride_a,
|
|
static_cast<float*>(hCPU),
|
|
static_cast<float*>(hGPU),
|
|
batch_count,
|
|
hipblaslt_atol,
|
|
hipblaslt_rtol);
|
|
case HIP_R_64F:
|
|
return allclose_check_general<double>(allclose_type,
|
|
M,
|
|
N,
|
|
lda,
|
|
stride_a,
|
|
static_cast<double*>(hCPU),
|
|
static_cast<double*>(hGPU),
|
|
batch_count,
|
|
hipblaslt_atol,
|
|
hipblaslt_rtol);
|
|
case HIP_C_32F:
|
|
return allclose_check_general<std::complex<float>>(allclose_type,
|
|
M,
|
|
N,
|
|
lda,
|
|
stride_a,
|
|
static_cast<std::complex<float>*>(hCPU),
|
|
static_cast<std::complex<float>*>(hGPU),
|
|
batch_count,
|
|
hipblaslt_atol,
|
|
hipblaslt_rtol);
|
|
case HIP_C_64F:
|
|
return allclose_check_general<std::complex<double>>(
|
|
allclose_type,
|
|
M,
|
|
N,
|
|
lda,
|
|
stride_a,
|
|
static_cast<std::complex<double>*>(hCPU),
|
|
static_cast<std::complex<double>*>(hGPU),
|
|
batch_count,
|
|
hipblaslt_atol,
|
|
hipblaslt_rtol);
|
|
case HIP_R_16F:
|
|
return allclose_check_general<hipblasLtHalf>(allclose_type,
|
|
M,
|
|
N,
|
|
lda,
|
|
stride_a,
|
|
static_cast<hipblasLtHalf*>(hCPU),
|
|
static_cast<hipblasLtHalf*>(hGPU),
|
|
batch_count,
|
|
hipblaslt_atol,
|
|
hipblaslt_rtol);
|
|
case HIP_R_16BF:
|
|
return allclose_check_general<hip_bfloat16>(allclose_type,
|
|
M,
|
|
N,
|
|
lda,
|
|
stride_a,
|
|
static_cast<hip_bfloat16*>(hCPU),
|
|
static_cast<hip_bfloat16*>(hGPU),
|
|
batch_count,
|
|
hipblaslt_atol,
|
|
hipblaslt_rtol);
|
|
case HIP_R_8F_E4M3_FNUZ:
|
|
return allclose_check_general<hipblaslt_f8_fnuz>(allclose_type,
|
|
M,
|
|
N,
|
|
lda,
|
|
stride_a,
|
|
static_cast<hipblaslt_f8_fnuz*>(hCPU),
|
|
static_cast<hipblaslt_f8_fnuz*>(hGPU),
|
|
batch_count,
|
|
hipblaslt_atol,
|
|
hipblaslt_rtol);
|
|
case HIP_R_8F_E5M2_FNUZ:
|
|
return allclose_check_general<hipblaslt_bf8_fnuz>(allclose_type,
|
|
M,
|
|
N,
|
|
lda,
|
|
stride_a,
|
|
static_cast<hipblaslt_bf8_fnuz*>(hCPU),
|
|
static_cast<hipblaslt_bf8_fnuz*>(hGPU),
|
|
batch_count,
|
|
hipblaslt_atol,
|
|
hipblaslt_rtol);
|
|
case HIP_R_8F_E4M3:
|
|
return allclose_check_general<hipblaslt_f8>(allclose_type,
|
|
M,
|
|
N,
|
|
lda,
|
|
stride_a,
|
|
static_cast<hipblaslt_f8*>(hCPU),
|
|
static_cast<hipblaslt_f8*>(hGPU),
|
|
batch_count,
|
|
hipblaslt_atol,
|
|
hipblaslt_rtol);
|
|
case HIP_R_8F_E5M2:
|
|
return allclose_check_general<hipblaslt_bf8>(allclose_type,
|
|
M,
|
|
N,
|
|
lda,
|
|
stride_a,
|
|
static_cast<hipblaslt_bf8*>(hCPU),
|
|
static_cast<hipblaslt_bf8*>(hGPU),
|
|
batch_count,
|
|
hipblaslt_atol,
|
|
hipblaslt_rtol);
|
|
case HIP_R_32I:
|
|
return allclose_check_general<int32_t>(allclose_type,
|
|
M,
|
|
N,
|
|
lda,
|
|
stride_a,
|
|
static_cast<int32_t*>(hCPU),
|
|
static_cast<int32_t*>(hGPU),
|
|
batch_count,
|
|
hipblaslt_atol,
|
|
hipblaslt_rtol);
|
|
case HIP_R_8I:
|
|
return allclose_check_general<hipblasLtInt8>(allclose_type,
|
|
M,
|
|
N,
|
|
lda,
|
|
stride_a,
|
|
static_cast<hipblasLtInt8*>(hCPU),
|
|
static_cast<hipblasLtInt8*>(hGPU),
|
|
batch_count,
|
|
hipblaslt_atol,
|
|
hipblaslt_rtol);
|
|
default:
|
|
hipblaslt_cerr << "Error type in allclose_check_general" << std::endl;
|
|
return false;
|
|
}
|
|
}
|