derek.holloway
7502bf64a4
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689 lines
31 KiB
C++
689 lines
31 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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/* ========================================Gtest Unit Check
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* ==================================================== */
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/*! \brief gtest unit compare two matrices float/double/complex */
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#pragma once
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#include "hipsparselt_math.hpp"
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#include "hipsparselt_test.hpp"
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#include "hipsparselt_vector.hpp"
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#include <hip/hip_fp8.h>
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#include <hipsparselt/hipsparselt.h>
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#ifndef GOOGLE_TEST
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#define UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, UNIT_ASSERT_EQ)
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#define UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, UNIT_ASSERT_EQ)
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#else
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#define UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, UNIT_ASSERT_EQ) \
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do \
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{ \
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for(size_t k = 0; k < batch_count; k++) \
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for(size_t j = 0; j < N; j++) \
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for(size_t i = 0; i < M; i++) \
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if(hipsparselt_isnan(hCPU[i + j * size_t(lda) + k * strideA])) \
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{ \
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ASSERT_TRUE(hipsparselt_isnan(hGPU[i + j * size_t(lda) + k * strideA])); \
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} \
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else \
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{ \
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UNIT_ASSERT_EQ(hCPU[i + j * size_t(lda) + k * strideA], \
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hGPU[i + j * size_t(lda) + k * strideA]); \
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} \
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} while(0)
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#define UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, UNIT_ASSERT_EQ) \
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do \
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{ \
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for(size_t k = 0; k < batch_count; k++) \
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for(size_t j = 0; j < N; j++) \
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for(size_t i = 0; i < M; i++) \
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if(hipsparselt_isnan(hCPU[k][i + j * size_t(lda)])) \
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{ \
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ASSERT_TRUE(hipsparselt_isnan(hGPU[k][i + j * size_t(lda)])); \
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} \
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else \
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{ \
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UNIT_ASSERT_EQ(hCPU[k][i + j * size_t(lda)], \
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hGPU[k][i + j * size_t(lda)]); \
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} \
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} while(0)
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//#define ASSERT_HALF_EQ(a, b) ASSERT_FLOAT_EQ(float(a), float(b))
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//#define ASSERT_BF16_EQ(a, b) ASSERT_FLOAT_EQ(float(a), float(b))
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#if defined(__HIP_PLATFORM_AMD__)
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#define ASSERT_HALF_EQ(a, b) \
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do \
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{ \
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union _HALF \
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{ \
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uint16_t x; \
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_Float16 data; \
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}; \
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_HALF a_half = {__half_raw(a).x}; \
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_HALF b_half = {__half_raw(b).x}; \
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auto absA = (a_half.data > 0) ? a_half.data : -a_half.data; \
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auto absB = (b_half.data > 0) ? b_half.data : -b_half.data; \
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auto absDiff = (a_half.data - b_half.data > 0) ? a_half.data - b_half.data \
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: b_half.data - a_half.data; \
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ASSERT_TRUE(absDiff / (absA + absB + 1) < 0.01); \
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} while(0)
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#else
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#define ASSERT_HALF_EQ(a, b) \
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do \
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{ \
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auto zero = __half(0.0); \
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auto absA = (a > zero) ? a : negate(a); \
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auto absB = (b > zero) ? b : negate(b); \
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auto absDiff = (a - b > zero) ? a - b : b - a; \
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ASSERT_TRUE(absDiff / (absA + absB + __half(1.0)) < __half(0.01)); \
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} while(0)
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#endif
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#define ASSERT_BF16_EQ(a, b) \
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do \
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{ \
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const hip_bfloat16 bf16A = static_cast<hip_bfloat16>(a); \
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const hip_bfloat16 bf16B = static_cast<hip_bfloat16>(b); \
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const hip_bfloat16 bf16Zero = static_cast<hip_bfloat16>(0.0f); \
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const hip_bfloat16 bf16One = static_cast<hip_bfloat16>(1.0f); \
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hip_bfloat16 absA = (bf16A > bf16Zero) ? bf16A : negate(bf16A); \
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hip_bfloat16 absB = (bf16B > bf16Zero) ? bf16B : negate(bf16B); \
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hip_bfloat16 absDiff = (bf16A - bf16B > bf16Zero) ? bf16A - bf16B : bf16B - bf16A; \
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ASSERT_TRUE(absDiff / (absA + absB + bf16One) < static_cast<hip_bfloat16>(0.1f)); \
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} while(0)
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#define ASSERT_FP8_EQ(a, b) \
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do \
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{ \
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const float f32A = static_cast<float>(a); \
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const float f32B = static_cast<float>(b); \
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float absA = (f32A > 0.0f) ? f32A : negate(f32A); \
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float absB = (f32B > 0.0f) ? f32B : negate(f32B); \
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float absDiff = (f32A - f32B > 0.0f) ? f32A - f32B : f32B - f32A; \
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ASSERT_TRUE(absDiff / (absA + absB + 1.0f) < 0.125f); \
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/*tolerance * eps = 2 * 0.0625; 2*eps needed for SR*/ \
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} while(0)
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#define ASSERT_BF8_EQ(a, b) \
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do \
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{ \
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const float f32A = static_cast<float>(a); \
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const float f32B = static_cast<float>(b); \
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float absA = (f32A > 0.0f) ? f32A : negate(f32A); \
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float absB = (f32B > 0.0f) ? f32B : negate(f32B); \
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float absDiff = (f32A - f32B > 0.0f) ? f32A - f32B : f32B - f32A; \
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ASSERT_TRUE(absDiff / (absA + absB + 1.0f) < 0.25f); \
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/*tolerance * eps= 2 * 0.125; 2*eps needed for SR*/ \
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} while(0)
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// Compare float to hip_bfloat16
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// Allow the hip_bfloat16 to match the rounded or truncated value of float
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// Only call ASSERT_FLOAT_EQ with the rounded value if the truncated value does not match
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#include <gtest/internal/gtest-internal.h>
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#define ASSERT_FLOAT_BF16_EQ(a, b) \
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do \
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{ \
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using testing::internal::FloatingPoint; \
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if(!FloatingPoint<float>(b).AlmostEquals( \
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FloatingPoint<float>(float_to_bfloat16_truncate(a)))) \
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ASSERT_FLOAT_EQ(b, hip_bfloat16(a)); \
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} while(0)
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#define ASSERT_FLOAT_COMPLEX_EQ(a, b) \
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do \
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{ \
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auto ta = (a), tb = (b); \
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ASSERT_FLOAT_EQ(std::real(ta), std::real(tb)); \
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ASSERT_FLOAT_EQ(std::imag(ta), std::imag(tb)); \
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} while(0)
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#define ASSERT_DOUBLE_COMPLEX_EQ(a, b) \
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do \
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{ \
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auto ta = (a), tb = (b); \
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ASSERT_DOUBLE_EQ(std::real(ta), std::real(tb)); \
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ASSERT_DOUBLE_EQ(std::imag(ta), std::imag(tb)); \
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} while(0)
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#endif // GOOGLE_TEST
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// TODO: Replace std::remove_cv_t with std::type_identity_t in C++20
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// It is only used to make T_hpa non-deduced
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template <typename T, typename T_hpa = T>
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void unit_check_general(
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int64_t M, int64_t N, int64_t lda, const std::remove_cv_t<T_hpa>* hCPU, const T* hGPU);
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template <>
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inline void unit_check_general(
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int64_t M, int64_t N, int64_t lda, const hip_bfloat16* hCPU, const hip_bfloat16* hGPU)
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{
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UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_BF16_EQ);
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}
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template <>
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inline void unit_check_general<hip_bfloat16, float>(
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int64_t M, int64_t N, int64_t lda, const float* hCPU, const hip_bfloat16* hGPU)
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{
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UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_FLOAT_BF16_EQ);
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}
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template <>
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inline void
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unit_check_general(int64_t M, int64_t N, int64_t lda, const __half* hCPU, const __half* hGPU)
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{
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UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_HALF_EQ);
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}
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template <>
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inline void
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unit_check_general(int64_t M, int64_t N, int64_t lda, const float* hCPU, const float* hGPU)
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{
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UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_FLOAT_EQ);
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}
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template <>
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inline void
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unit_check_general(int64_t M, int64_t N, int64_t lda, const double* hCPU, const double* hGPU)
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{
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UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_DOUBLE_EQ);
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}
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template <>
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inline void
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unit_check_general(int64_t M, int64_t N, int64_t lda, const int64_t* hCPU, const int64_t* hGPU)
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{
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UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_EQ);
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}
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template <>
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inline void
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unit_check_general(int64_t M, int64_t N, int64_t lda, const int8_t* hCPU, const int8_t* hGPU)
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{
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UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_EQ);
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}
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#ifdef HIPSPARSELT_CLIENT_ENABLE_FP8_OCP
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template <>
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inline void unit_check_general(
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int64_t M, int64_t N, int64_t lda, const hipsparselt_fp8_e4m3* hCPU, const hipsparselt_fp8_e4m3* hGPU)
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{
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UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_FP8_EQ);
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}
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template <>
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inline void unit_check_general(
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int64_t M, int64_t N, int64_t lda, const hipsparselt_fp8_e5m2* hCPU, const hipsparselt_fp8_e5m2* hGPU)
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{
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UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_BF8_EQ);
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}
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#endif
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#ifdef HIPSPARSELT_CLIENT_ENABLE_FP8_FNUZ
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template <>
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inline void unit_check_general(
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int64_t M, int64_t N, int64_t lda, const hipsparselt_fp8_e4m3_fnuz* hCPU, const hipsparselt_fp8_e4m3_fnuz* hGPU)
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{
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UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_FP8_EQ);
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}
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template <>
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inline void unit_check_general(
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int64_t M, int64_t N, int64_t lda, const hipsparselt_fp8_e5m2_fnuz* hCPU, const hipsparselt_fp8_e5m2_fnuz* hGPU)
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{
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UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_BF8_EQ);
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}
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#endif
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template <typename T, typename T_hpa = T>
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void unit_check_general(int64_t M,
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int64_t N,
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int64_t lda,
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int64_t strideA,
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const std::remove_cv_t<T_hpa>* hCPU,
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const T* hGPU,
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int64_t batch_count);
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template <>
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inline void unit_check_general(int64_t M,
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int64_t N,
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int64_t lda,
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int64_t strideA,
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const hip_bfloat16* hCPU,
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const hip_bfloat16* hGPU,
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int64_t batch_count)
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{
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UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_BF16_EQ);
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}
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template <>
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inline void unit_check_general<hip_bfloat16, float>(int64_t M,
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int64_t N,
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int64_t lda,
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int64_t strideA,
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const float* hCPU,
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const hip_bfloat16* hGPU,
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int64_t batch_count)
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{
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UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_FLOAT_BF16_EQ);
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}
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template <>
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inline void unit_check_general(int64_t M,
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int64_t N,
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int64_t lda,
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int64_t strideA,
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const __half* hCPU,
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const __half* hGPU,
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int64_t batch_count)
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{
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UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_HALF_EQ);
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}
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template <>
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inline void unit_check_general(int64_t M,
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int64_t N,
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int64_t lda,
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int64_t strideA,
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const float* hCPU,
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const float* hGPU,
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int64_t batch_count)
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{
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UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_FLOAT_EQ);
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}
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template <>
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inline void unit_check_general(int64_t M,
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int64_t N,
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int64_t lda,
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int64_t strideA,
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const double* hCPU,
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const double* hGPU,
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int64_t batch_count)
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{
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UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_DOUBLE_EQ);
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}
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template <>
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inline void unit_check_general(int64_t M,
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int64_t N,
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int64_t lda,
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int64_t strideA,
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const int64_t* hCPU,
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const int64_t* hGPU,
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int64_t batch_count)
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{
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UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_EQ);
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}
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template <>
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inline void unit_check_general(int64_t M,
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int64_t N,
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int64_t lda,
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int64_t strideA,
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const int8_t* hCPU,
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const int8_t* hGPU,
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int64_t batch_count)
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{
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UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_EQ);
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}
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template <>
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inline void unit_check_general(int64_t M,
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int64_t N,
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int64_t lda,
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int64_t strideA,
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const int32_t* hCPU,
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const int32_t* hGPU,
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int64_t batch_count)
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{
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UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_EQ);
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}
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#ifdef HIPSPARSELT_CLIENT_ENABLE_FP8_OCP
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template <>
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inline void unit_check_general(int64_t M,
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int64_t N,
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int64_t lda,
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int64_t strideA,
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const hipsparselt_fp8_e4m3* hCPU,
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const hipsparselt_fp8_e4m3* hGPU,
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int64_t batch_count)
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{
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UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_FP8_EQ);
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}
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template <>
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inline void unit_check_general(int64_t M,
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int64_t N,
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int64_t lda,
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int64_t strideA,
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const hipsparselt_fp8_e5m2* hCPU,
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const hipsparselt_fp8_e5m2* hGPU,
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int64_t batch_count)
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|
{
|
|
UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_BF8_EQ);
|
|
}
|
|
#endif
|
|
|
|
#ifdef HIPSPARSELT_CLIENT_ENABLE_FP8_FNUZ
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
int64_t strideA,
|
|
const hipsparselt_fp8_e4m3_fnuz* hCPU,
|
|
const hipsparselt_fp8_e4m3_fnuz* hGPU,
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_FP8_EQ);
|
|
}
|
|
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
int64_t strideA,
|
|
const hipsparselt_fp8_e5m2_fnuz* hCPU,
|
|
const hipsparselt_fp8_e5m2_fnuz* hGPU,
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_BF8_EQ);
|
|
}
|
|
#endif
|
|
|
|
template <typename T, typename T_hpa = T>
|
|
void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const host_vector<std::remove_cv_t<T_hpa>> hCPU[],
|
|
const host_vector<T> hGPU[],
|
|
int64_t batch_count);
|
|
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const host_vector<hip_bfloat16> hCPU[],
|
|
const host_vector<hip_bfloat16> hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_BF16_EQ);
|
|
}
|
|
|
|
template <>
|
|
inline void unit_check_general<hip_bfloat16, float>(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const host_vector<float> hCPU[],
|
|
const host_vector<hip_bfloat16> hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_FLOAT_BF16_EQ);
|
|
}
|
|
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const host_vector<__half> hCPU[],
|
|
const host_vector<__half> hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_HALF_EQ);
|
|
}
|
|
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const host_vector<int> hCPU[],
|
|
const host_vector<int> hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_EQ);
|
|
}
|
|
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const host_vector<int8_t> hCPU[],
|
|
const host_vector<int8_t> hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_EQ);
|
|
}
|
|
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const host_vector<float> hCPU[],
|
|
const host_vector<float> hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_FLOAT_EQ);
|
|
}
|
|
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const host_vector<double> hCPU[],
|
|
const host_vector<double> hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_DOUBLE_EQ);
|
|
}
|
|
|
|
template <typename T, typename T_hpa = T>
|
|
void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const std::remove_cv_t<T_hpa>* const hCPU[],
|
|
const T* const hGPU[],
|
|
int64_t batch_count);
|
|
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const hip_bfloat16* const hCPU[],
|
|
const hip_bfloat16* const hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_BF16_EQ);
|
|
}
|
|
|
|
template <>
|
|
inline void unit_check_general<hip_bfloat16, float>(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const float* const hCPU[],
|
|
const hip_bfloat16* const hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_FLOAT_BF16_EQ);
|
|
}
|
|
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const __half* const hCPU[],
|
|
const __half* const hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_HALF_EQ);
|
|
}
|
|
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const int* const hCPU[],
|
|
const int* const hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_EQ);
|
|
}
|
|
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const int8_t* const hCPU[],
|
|
const int8_t* const hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_EQ);
|
|
}
|
|
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const float* const hCPU[],
|
|
const float* const hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_FLOAT_EQ);
|
|
}
|
|
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const double* const hCPU[],
|
|
const double* const hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_DOUBLE_EQ);
|
|
}
|
|
|
|
#ifdef HIPSPARSELT_CLIENT_ENABLE_FP8_OCP
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const hipsparselt_fp8_e4m3* const hCPU[],
|
|
const hipsparselt_fp8_e4m3* const hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_FP8_EQ);
|
|
}
|
|
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const hipsparselt_fp8_e5m2* const hCPU[],
|
|
const hipsparselt_fp8_e5m2* const hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_BF8_EQ);
|
|
}
|
|
#endif
|
|
|
|
#ifdef HIPSPARSELT_CLIENT_ENABLE_FP8_FNUZ
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const hipsparselt_fp8_e4m3_fnuz* const hCPU[],
|
|
const hipsparselt_fp8_e4m3_fnuz* const hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_FP8_EQ);
|
|
}
|
|
|
|
template <>
|
|
inline void unit_check_general(int64_t M,
|
|
int64_t N,
|
|
int64_t lda,
|
|
const hipsparselt_fp8_e5m2_fnuz* const hCPU[],
|
|
const hipsparselt_fp8_e5m2_fnuz* const hGPU[],
|
|
int64_t batch_count)
|
|
{
|
|
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_BF8_EQ);
|
|
}
|
|
#endif
|
|
|
|
template <typename T>
|
|
inline void trsm_err_res_check(T max_error, int64_t M, T forward_tolerance, T eps)
|
|
{
|
|
#ifdef GOOGLE_TEST
|
|
ASSERT_LE(max_error, forward_tolerance * eps * M);
|
|
#endif
|
|
}
|
|
|
|
template <typename T>
|
|
constexpr double get_epsilon()
|
|
{
|
|
return std::numeric_limits<T>::epsilon();
|
|
}
|
|
|
|
template <typename T>
|
|
inline int64_t unit_check_diff(
|
|
int64_t M, int64_t N, int64_t lda, int64_t stride, T* hCPU, T* hGPU, int64_t batch_count)
|
|
{
|
|
using c_type = std::conditional_t<std::is_same<__half, T>::value
|
|
#ifdef HIPSPARSELT_CLIENT_ENABLE_FP8_OCP
|
|
|| std::is_same<hipsparselt_fp8_e4m3, T>::value || std::is_same<hipsparselt_fp8_e5m2, T>::value
|
|
#endif
|
|
#ifdef HIPSPARSELT_CLIENT_ENABLE_FP8_FNUZ
|
|
|| std::is_same<hipsparselt_fp8_e4m3_fnuz, T>::value || std::is_same<hipsparselt_fp8_e5m2_fnuz, T>::value
|
|
#endif
|
|
, float, T>;
|
|
int64_t error = 0;
|
|
do
|
|
{
|
|
for(size_t k = 0; k < batch_count; k++)
|
|
for(size_t j = 0; j < N; j++)
|
|
for(size_t i = 0; i < M; i++)
|
|
if(hipsparselt_isnan(hCPU[i + j * size_t(lda) + k * stride]))
|
|
{
|
|
error += hipsparselt_isnan(hGPU[i + j * size_t(lda) + k * stride]) ? 0 : 1;
|
|
}
|
|
else
|
|
{
|
|
error += static_cast<c_type>(hCPU[i + j * size_t(lda) + k * stride])
|
|
== static_cast<c_type>(
|
|
hGPU[i + j * size_t(lda) + k * stride])
|
|
? 0
|
|
: 1;
|
|
}
|
|
} while(0);
|
|
return error;
|
|
}
|