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TheRock/rocm-libraries/projects/hipsparselt/clients/common/cblas_interface.cpp
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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

1416 lines
62 KiB
C++

/*******************************************************************************
*
* MIT License
*
* Copyright (c) 2022-2025 Advanced Micro Devices, Inc.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*
*******************************************************************************/
#include "cblas_interface.hpp"
#include "hipsparselt_vector.hpp"
#include "utility.hpp"
#include <bitset>
#include <omp.h>
CBLAS_TRANSPOSE HIPOperationToCBLASTanspose(hipsparseOperation_t trans)
{
switch(trans)
{
case HIPSPARSE_OPERATION_NON_TRANSPOSE:
return CblasNoTrans;
case HIPSPARSE_OPERATION_TRANSPOSE:
return CblasTrans;
case HIPSPARSE_OPERATION_CONJUGATE_TRANSPOSE:
return CblasConjTrans;
}
}
CBLAS_ORDER HIPOrderToCBLASOrder(hipsparseOrder_t order)
{
switch(order)
{
case HIPSPARSE_ORDER_COL:
return CblasColMajor;
case HIPSPARSE_ORDER_ROW:
return CblasRowMajor;
}
}
// gemm
template <>
void cblas_gemm<hip_bfloat16, hip_bfloat16, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const hip_bfloat16* A,
int64_t lda,
int64_t sizeA,
const hip_bfloat16* B,
int64_t ldb,
int64_t sizeB,
float beta,
hip_bfloat16* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
// cblas does not support hip_bfloat16, so convert to higher precision float
// This will give more precise result which is acceptable for testing
host_vector<float> A_float(sizeA), B_float(sizeB), C_float(sizeC);
for(size_t i = 0; i < sizeA; i++)
A_float[i] = static_cast<float>(A[i]);
for(size_t i = 0; i < sizeB; i++)
B_float[i] = static_cast<float>(B[i]);
for(size_t i = 0; i < sizeC; i++)
C_float[i] = static_cast<float>(C[i]);
if(alphaVec != nullptr)
{
host_vector<float> T_float(sizeC);
memset(T_float, 0, sizeC);
cblas_sgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
static_cast<float>(1),
A_float,
lda,
B_float,
ldb,
static_cast<float>(0),
T_float,
ldc);
for(int i = 0; i < m; i++)
{
for(int j = 0; j < n; j++)
{
size_t pos = order == HIPSPARSE_ORDER_COL ? j * ldc + i : i * ldc + j;
C_float[pos] = T_float[pos] * alphaVec[i] + C_float[pos] * beta;
}
}
}
else
{
// just directly cast, since transA, transB are integers in the enum
// printf("transA: hipsparselt =%d, cblas=%d\n", transA, HIPOperationToCBLASTanspose(transA) );
cblas_sgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
alpha,
A_float,
lda,
B_float,
ldb,
beta,
C_float,
ldc);
}
for(size_t i = 0; i < sizeC; i++)
C[i] = static_cast<hip_bfloat16>(C_float[i]);
}
template <>
void cblas_gemm<hip_bfloat16, float, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const hip_bfloat16* A,
int64_t lda,
int64_t sizeA,
const hip_bfloat16* B,
int64_t ldb,
int64_t sizeB,
float beta,
float* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
// cblas does not support hip_bfloat16, so convert to higher precision float
// This will give more precise result which is acceptable for testing
host_vector<float> A_float(sizeA), B_float(sizeB);
for(size_t i = 0; i < sizeA; i++)
A_float[i] = static_cast<float>(A[i]);
for(size_t i = 0; i < sizeB; i++)
B_float[i] = static_cast<float>(B[i]);
if(alphaVec != nullptr)
{
host_vector<float> T_float(sizeC);
memset(T_float, 0, sizeC);
cblas_sgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
static_cast<float>(1),
A_float,
lda,
B_float,
ldb,
static_cast<float>(0),
T_float,
ldc);
for(int i = 0; i < m; i++)
{
for(int j = 0; j < n; j++)
{
size_t pos = order == HIPSPARSE_ORDER_COL ? j * ldc + i : i * ldc + j;
C[pos] = T_float[pos] * alphaVec[i] + C[pos] * beta;
}
}
}
else
{
// just directly cast, since transA, transB are integers in the enum
// printf("transA: hipsparselt =%d, cblas=%d\n", transA, HIPOperationToCBLASTanspose(transA) );
cblas_sgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
alpha,
A_float,
lda,
B_float,
ldb,
beta,
C,
ldc);
}
}
template <>
void cblas_gemm<__half, __half, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const __half* A,
int64_t lda,
int64_t sizeA,
const __half* B,
int64_t ldb,
int64_t sizeB,
float beta,
__half* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
// cblas does not support __half, so convert to higher precision float
// This will give more precise result which is acceptable for testing
host_vector<float> A_float(sizeA), B_float(sizeB), C_float(sizeC);
if(alt)
{
for(size_t i = 0; i < sizeA; i++)
A_float[i] = float_to_bfloat16_truncate(float(A[i]));
for(size_t i = 0; i < sizeB; i++)
B_float[i] = float_to_bfloat16_truncate(float(B[i]));
for(size_t i = 0; i < sizeC; i++)
C_float[i] = float_to_bfloat16_truncate(float(C[i]));
}
else
{
for(size_t i = 0; i < sizeA; i++)
A_float[i] = A[i];
for(size_t i = 0; i < sizeB; i++)
B_float[i] = B[i];
for(size_t i = 0; i < sizeC; i++)
C_float[i] = C[i];
}
if(alphaVec != nullptr)
{
host_vector<float> T_float(sizeC);
memset(T_float, 0, sizeC);
cblas_sgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
static_cast<float>(1),
A_float,
lda,
B_float,
ldb,
static_cast<float>(0),
T_float,
ldc);
for(int i = 0; i < m; i++)
{
for(int j = 0; j < n; j++)
{
size_t pos = order == HIPSPARSE_ORDER_COL ? j * ldc + i : i * ldc + j;
C_float[pos] = T_float[pos] * alphaVec[i] + C_float[pos] * beta;
}
}
}
else
{
// just directly cast, since transA, transB are integers in the enum
// printf("transA: hipsparselt =%d, cblas=%d\n", transA, HIPOperationToCBLASTanspose(transA) );
cblas_sgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
alpha,
A_float,
lda,
B_float,
ldb,
beta,
C_float,
ldc);
}
for(size_t i = 0; i < sizeC; i++)
C[i] = __half(C_float[i]);
}
template <>
void cblas_gemm<__half, float, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const __half* A,
int64_t lda,
int64_t sizeA,
const __half* B,
int64_t ldb,
int64_t sizeB,
float beta,
float* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
// cblas does not support __half, so convert to higher precision float
// This will give more precise result which is acceptable for testing
host_vector<float> A_float(sizeA), B_float(sizeB);
if(alt)
{
for(size_t i = 0; i < sizeA; i++)
A_float[i] = float_to_bfloat16_truncate(float(A[i]));
for(size_t i = 0; i < sizeB; i++)
B_float[i] = float_to_bfloat16_truncate(float(B[i]));
}
else
{
for(size_t i = 0; i < sizeA; i++)
A_float[i] = A[i];
for(size_t i = 0; i < sizeB; i++)
B_float[i] = B[i];
}
if(alphaVec != nullptr)
{
host_vector<float> T_float(sizeC);
memset(T_float, 0, sizeC);
cblas_sgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
static_cast<float>(1),
A_float,
lda,
B_float,
ldb,
static_cast<float>(0),
T_float,
ldc);
for(int i = 0; i < m; i++)
{
for(int j = 0; j < n; j++)
{
size_t pos = order == HIPSPARSE_ORDER_COL ? j * ldc + i : i * ldc + j;
C[pos] = T_float[pos] * alphaVec[i] + C[pos] * beta;
}
}
}
else
{
// just directly cast, since transA, transB are integers in the enum
// printf("transA: hipsparselt =%d, cblas=%d\n", transA, HIPOperationToCBLASTanspose(transA) );
cblas_sgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
alpha,
A_float,
lda,
B_float,
ldb,
beta,
C,
ldc);
}
}
template <>
void cblas_gemm<int8_t, int8_t, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const int8_t* A,
int64_t lda,
int64_t sizeA,
const int8_t* B,
int64_t ldb,
int64_t sizeB,
float beta,
int8_t* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
// cblas does not support int8_t input / int8_t output, however non-overflowing
// 32-bit integer operations can be represented accurately with double-precision
// floats, so convert to doubles and downcast result down to int32_t.
// NOTE: This will not properly account for 32-bit integer overflow, however
// the result should be acceptable for testing.
host_vector<double> A_double(sizeA);
host_vector<double> B_double(sizeB);
host_vector<double> C_double(sizeC);
for(size_t i = 0; i < sizeA; i++)
A_double[i] = static_cast<double>(A[i]);
for(size_t i = 0; i < sizeB; i++)
B_double[i] = static_cast<double>(B[i]);
for(size_t i = 0; i < sizeC; i++)
C_double[i] = static_cast<double>(C[i]);
if(alphaVec != nullptr)
{
host_vector<double> T_double(sizeC);
memset(T_double, 0, sizeC * sizeof(double));
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
static_cast<double>(1),
A_double,
lda,
B_double,
ldb,
static_cast<double>(0),
T_double,
ldc);
for(int i = 0; i < m; i++)
{
for(int j = 0; j < n; j++)
{
size_t pos = order == HIPSPARSE_ORDER_COL ? j * ldc + i : i * ldc + j;
C_double[pos] = T_double[pos] * static_cast<double>(alphaVec[i])
+ C_double[pos] * static_cast<double>(beta);
}
}
}
else
{
// just directly cast, since transA, transB are integers in the enum
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
alpha,
A_double,
lda,
B_double,
ldb,
beta,
C_double,
ldc);
}
auto saturate = [](double val) {
val = std::nearbyint(val);
val = val > 127.f ? 127.f : val < -128.f ? -128.f : val;
return val;
};
for(size_t i = 0; i < sizeC; i++)
C[i] = static_cast<int8_t>(saturate(C_double[i]));
}
template <>
void cblas_gemm<int8_t, float, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const int8_t* A,
int64_t lda,
int64_t sizeA,
const int8_t* B,
int64_t ldb,
int64_t sizeB,
float beta,
float* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
// cblas does not support int8_t input / int8_t output, however non-overflowing
// 32-bit integer operations can be represented accurately with double-precision
// floats, so convert to doubles and downcast result down to int32_t.
// NOTE: This will not properly account for 32-bit integer overflow, however
// the result should be acceptable for testing.
host_vector<double> A_double(sizeA);
host_vector<double> B_double(sizeB);
host_vector<double> C_double(sizeC);
for(size_t i = 0; i < sizeA; i++)
A_double[i] = static_cast<double>(A[i]);
for(size_t i = 0; i < sizeB; i++)
B_double[i] = static_cast<double>(B[i]);
for(size_t i = 0; i < sizeC; i++)
C_double[i] = static_cast<double>(C[i]);
if(alphaVec != nullptr)
{
host_vector<double> T_double(sizeC);
memset(T_double, 0, sizeC * sizeof(double));
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
static_cast<double>(1),
A_double,
lda,
B_double,
ldb,
static_cast<double>(0),
T_double,
ldc);
for(int i = 0; i < m; i++)
{
for(int j = 0; j < n; j++)
{
size_t pos = order == HIPSPARSE_ORDER_COL ? j * ldc + i : i * ldc + j;
C_double[pos] = T_double[pos] * static_cast<double>(alphaVec[i])
+ C_double[pos] * static_cast<double>(beta);
}
}
}
else
{
// just directly cast, since transA, transB are integers in the enum
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
alpha,
A_double,
lda,
B_double,
ldb,
beta,
C_double,
ldc);
}
for(size_t i = 0; i < sizeC; i++)
C[i] = static_cast<float>(C_double[i]);
}
template <>
void cblas_gemm<int8_t, __half, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const int8_t* A,
int64_t lda,
int64_t sizeA,
const int8_t* B,
int64_t ldb,
int64_t sizeB,
float beta,
__half* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
// cblas does not support int8_t input / int8_t output, however non-overflowing
// 32-bit integer operations can be represented accurately with double-precision
// floats, so convert to doubles and downcast result down to int32_t.
// NOTE: This will not properly account for 32-bit integer overflow, however
// the result should be acceptable for testing.
host_vector<double> A_double(sizeA);
host_vector<double> B_double(sizeB);
host_vector<double> C_double(sizeC);
for(size_t i = 0; i < sizeA; i++)
A_double[i] = static_cast<double>(A[i]);
for(size_t i = 0; i < sizeB; i++)
B_double[i] = static_cast<double>(B[i]);
for(size_t i = 0; i < sizeC; i++)
C_double[i] = static_cast<double>(C[i]);
if(alphaVec != nullptr)
{
host_vector<double> T_double(sizeC);
memset(T_double, 0, sizeC * sizeof(double));
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
static_cast<double>(1),
A_double,
lda,
B_double,
ldb,
static_cast<double>(0),
T_double,
ldc);
for(int i = 0; i < m; i++)
{
for(int j = 0; j < n; j++)
{
size_t pos = order == HIPSPARSE_ORDER_COL ? j * ldc + i : i * ldc + j;
C_double[pos] = T_double[pos] * static_cast<double>(alphaVec[i])
+ C_double[pos] * static_cast<double>(beta);
}
}
}
else
{
// just directly cast, since transA, transB are integers in the enum
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
alpha,
A_double,
lda,
B_double,
ldb,
beta,
C_double,
ldc);
}
for(size_t i = 0; i < sizeC; i++)
C[i] = __half(C_double[i]);
}
template <>
void cblas_gemm<int8_t, hip_bfloat16, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const int8_t* A,
int64_t lda,
int64_t sizeA,
const int8_t* B,
int64_t ldb,
int64_t sizeB,
float beta,
hip_bfloat16* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
// cblas does not support int8_t input / int8_t output, however non-overflowing
// 32-bit integer operations can be represented accurately with double-precision
// floats, so convert to doubles and downcast result down to int32_t.
// NOTE: This will not properly account for 32-bit integer overflow, however
// the result should be acceptable for testing.
host_vector<double> A_double(sizeA);
host_vector<double> B_double(sizeB);
host_vector<double> C_double(sizeC);
for(size_t i = 0; i < sizeA; i++)
A_double[i] = static_cast<double>(A[i]);
for(size_t i = 0; i < sizeB; i++)
B_double[i] = static_cast<double>(B[i]);
for(size_t i = 0; i < sizeC; i++)
C_double[i] = static_cast<double>(C[i]);
if(alphaVec != nullptr)
{
host_vector<double> T_double(sizeC);
memset(T_double, 0, sizeC * sizeof(double));
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
static_cast<double>(1),
A_double,
lda,
B_double,
ldb,
static_cast<double>(0),
T_double,
ldc);
for(int i = 0; i < m; i++)
{
for(int j = 0; j < n; j++)
{
size_t pos = order == HIPSPARSE_ORDER_COL ? j * ldc + i : i * ldc + j;
C_double[pos] = T_double[pos] * static_cast<double>(alphaVec[i])
+ C_double[pos] * static_cast<double>(beta);
}
}
}
else
{
// just directly cast, since transA, transB are integers in the enum
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
alpha,
A_double,
lda,
B_double,
ldb,
beta,
C_double,
ldc);
}
for(size_t i = 0; i < sizeC; i++)
C[i] = static_cast<hip_bfloat16>(C_double[i]);
}
template <>
void cblas_gemm<int8_t, int32_t, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const int8_t* A,
int64_t lda,
int64_t sizeA,
const int8_t* B,
int64_t ldb,
int64_t sizeB,
float beta,
int32_t* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
// cblas does not support int8_t input / int8_t output, however non-overflowing
// 32-bit integer operations can be represented accurately with double-precision
// floats, so convert to doubles and downcast result down to int32_t.
// NOTE: This will not properly account for 32-bit integer overflow, however
// the result should be acceptable for testing.
host_vector<double> A_double(sizeA);
host_vector<double> B_double(sizeB);
host_vector<double> C_double(sizeC);
for(size_t i = 0; i < sizeA; i++)
A_double[i] = static_cast<double>(A[i]);
for(size_t i = 0; i < sizeB; i++)
B_double[i] = static_cast<double>(B[i]);
for(size_t i = 0; i < sizeC; i++)
C_double[i] = static_cast<double>(C[i]);
if(alphaVec != nullptr)
{
host_vector<double> T_double(sizeC);
memset(T_double, 0, sizeC * sizeof(double));
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
static_cast<double>(1),
A_double,
lda,
B_double,
ldb,
static_cast<double>(0),
T_double,
ldc);
for(int i = 0; i < m; i++)
{
for(int j = 0; j < n; j++)
{
size_t pos = order == HIPSPARSE_ORDER_COL ? j * ldc + i : i * ldc + j;
C_double[pos] = T_double[pos] * static_cast<double>(alphaVec[i])
+ C_double[pos] * static_cast<double>(beta);
}
}
}
else
{
// just directly cast, since transA, transB are integers in the enum
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
alpha,
A_double,
lda,
B_double,
ldb,
beta,
C_double,
ldc);
}
for(size_t i = 0; i < sizeC; i++)
C[i] = static_cast<int32_t>(C_double[i]);
}
#ifdef HIPSPARSELT_CLIENT_ENABLE_FP8_OCP
template <>
void cblas_gemm<hipsparselt_fp8_e4m3, double, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const hipsparselt_fp8_e4m3* A,
int64_t lda,
int64_t sizeA,
const hipsparselt_fp8_e4m3* B,
int64_t ldb,
int64_t sizeB,
float beta,
double* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
// cblas does not support int8_t input / int8_t output, however non-overflowing
// 32-bit integer operations can be represented accurately with double-precision
// floats, so convert to doubles and downcast result down to int32_t.
// NOTE: This will not properly account for 32-bit integer overflow, however
// the result should be acceptable for testing.
host_vector<double> A_double(sizeA);
host_vector<double> B_double(sizeB);
for(size_t i = 0; i < sizeA; i++)
A_double[i] = static_cast<double>(A[i]);
for(size_t i = 0; i < sizeB; i++)
B_double[i] = static_cast<double>(B[i]);
if(alphaVec != nullptr)
{
host_vector<double> T_double(sizeC);
memset(T_double, 0, sizeC * sizeof(double));
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
static_cast<double>(1),
A_double,
lda,
B_double,
ldb,
static_cast<double>(0),
T_double,
ldc);
for(int i = 0; i < m; i++)
{
for(int j = 0; j < n; j++)
{
size_t pos = order == HIPSPARSE_ORDER_COL ? j * ldc + i : i * ldc + j;
C[pos] = T_double[pos] * static_cast<double>(alphaVec[i])
+ C[pos] * static_cast<double>(beta);
}
}
}
else
{
// just directly cast, since transA, transB are integers in the enum
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
alpha,
A_double,
lda,
B_double,
ldb,
beta,
C,
ldc);
}
}
template <>
void cblas_gemm<hipsparselt_fp8_e5m2, double, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const hipsparselt_fp8_e5m2* A,
int64_t lda,
int64_t sizeA,
const hipsparselt_fp8_e5m2* B,
int64_t ldb,
int64_t sizeB,
float beta,
double* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
// cblas does not support int8_t input / int8_t output, however non-overflowing
// 32-bit integer operations can be represented accurately with double-precision
// floats, so convert to doubles and downcast result down to int32_t.
// NOTE: This will not properly account for 32-bit integer overflow, however
// the result should be acceptable for testing.
host_vector<double> A_double(sizeA);
host_vector<double> B_double(sizeB);
for(size_t i = 0; i < sizeA; i++)
A_double[i] = static_cast<double>(A[i]);
for(size_t i = 0; i < sizeB; i++)
B_double[i] = static_cast<double>(B[i]);
if(alphaVec != nullptr)
{
host_vector<double> T_double(sizeC);
memset(T_double, 0, sizeC * sizeof(double));
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
static_cast<double>(1),
A_double,
lda,
B_double,
ldb,
static_cast<double>(0),
T_double,
ldc);
for(int i = 0; i < m; i++)
{
for(int j = 0; j < n; j++)
{
size_t pos = order == HIPSPARSE_ORDER_COL ? j * ldc + i : i * ldc + j;
C[pos] = T_double[pos] * static_cast<double>(alphaVec[i])
+ C[pos] * static_cast<double>(beta);
}
}
}
else
{
// just directly cast, since transA, transB are integers in the enum
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m,
n,
k,
alpha,
A_double,
lda,
B_double,
ldb,
beta,
C,
ldc);
}
}
template <>
void cblas_gemm<hipsparselt_fp8_e4m3, float, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const hipsparselt_fp8_e4m3* A,
int64_t lda,
int64_t sizeA,
const hipsparselt_fp8_e4m3* B,
int64_t ldb,
int64_t sizeB,
float beta,
float* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
host_vector<double> C_double(sizeC);
for(size_t i = 0; i < sizeC; i++)
C_double[i] = static_cast<double>(C[i]);
cblas_gemm<hipsparselt_fp8_e4m3, double, float>(order, transA, transB, m, n, k, alpha,
A, lda, sizeA, B, ldb, sizeB, beta,
C_double, ldc, sizeC, alphaVec, alt);
for(size_t i = 0; i < sizeC; i++)
C[i] = static_cast<float>(C_double[i]);
}
template <>
void cblas_gemm<hipsparselt_fp8_e5m2, float, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const hipsparselt_fp8_e5m2* A,
int64_t lda,
int64_t sizeA,
const hipsparselt_fp8_e5m2* B,
int64_t ldb,
int64_t sizeB,
float beta,
float* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
host_vector<double> C_double(sizeC);
for(size_t i = 0; i < sizeC; i++)
C_double[i] = static_cast<double>(C[i]);
cblas_gemm<hipsparselt_fp8_e5m2, double, float>(order, transA, transB, m, n, k, alpha,
A, lda, sizeA, B, ldb, sizeB, beta,
C_double, ldc, sizeC, alphaVec, alt);
for(size_t i = 0; i < sizeC; i++)
C[i] = static_cast<float>(C_double[i]);
}
#endif // HIPSPARSELT_CLIENT_ENABLE_FP8_OCP
#ifdef HIPSPARSELT_CLIENT_ENABLE_FP8_FNUZ
template <>
void cblas_gemm<hipsparselt_fp8_e4m3_fnuz, double, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const hipsparselt_fp8_e4m3_fnuz* A,
int64_t lda,
int64_t sizeA,
const hipsparselt_fp8_e4m3_fnuz* B,
int64_t ldb,
int64_t sizeB,
float beta,
double* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
host_vector<double> A_double(sizeA);
host_vector<double> B_double(sizeB);
for(size_t i = 0; i < sizeA; i++)
A_double[i] = static_cast<double>(A[i]);
for(size_t i = 0; i < sizeB; i++)
B_double[i] = static_cast<double>(B[i]);
if(alphaVec != nullptr)
{
host_vector<double> T_double(sizeC);
memset(T_double, 0, sizeC * sizeof(double));
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m, n, k,
static_cast<double>(1),
A_double, lda, B_double, ldb,
static_cast<double>(0),
T_double, ldc);
for(int i = 0; i < m; i++)
for(int j = 0; j < n; j++)
{
size_t pos = order == HIPSPARSE_ORDER_COL ? j * ldc + i : i * ldc + j;
C[pos] = T_double[pos] * static_cast<double>(alphaVec[i])
+ C[pos] * static_cast<double>(beta);
}
}
else
{
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m, n, k,
alpha, A_double, lda, B_double, ldb,
beta, C, ldc);
}
}
template <>
void cblas_gemm<hipsparselt_fp8_e5m2_fnuz, double, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const hipsparselt_fp8_e5m2_fnuz* A,
int64_t lda,
int64_t sizeA,
const hipsparselt_fp8_e5m2_fnuz* B,
int64_t ldb,
int64_t sizeB,
float beta,
double* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
host_vector<double> A_double(sizeA);
host_vector<double> B_double(sizeB);
for(size_t i = 0; i < sizeA; i++)
A_double[i] = static_cast<double>(A[i]);
for(size_t i = 0; i < sizeB; i++)
B_double[i] = static_cast<double>(B[i]);
if(alphaVec != nullptr)
{
host_vector<double> T_double(sizeC);
memset(T_double, 0, sizeC * sizeof(double));
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m, n, k,
static_cast<double>(1),
A_double, lda, B_double, ldb,
static_cast<double>(0),
T_double, ldc);
for(int i = 0; i < m; i++)
for(int j = 0; j < n; j++)
{
size_t pos = order == HIPSPARSE_ORDER_COL ? j * ldc + i : i * ldc + j;
C[pos] = T_double[pos] * static_cast<double>(alphaVec[i])
+ C[pos] * static_cast<double>(beta);
}
}
else
{
cblas_dgemm(HIPOrderToCBLASOrder(order),
HIPOperationToCBLASTanspose(transA),
HIPOperationToCBLASTanspose(transB),
m, n, k,
alpha, A_double, lda, B_double, ldb,
beta, C, ldc);
}
}
template <>
void cblas_gemm<hipsparselt_fp8_e4m3_fnuz, float, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const hipsparselt_fp8_e4m3_fnuz* A,
int64_t lda,
int64_t sizeA,
const hipsparselt_fp8_e4m3_fnuz* B,
int64_t ldb,
int64_t sizeB,
float beta,
float* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
host_vector<double> C_double(sizeC);
for(size_t i = 0; i < sizeC; i++)
C_double[i] = static_cast<double>(C[i]);
cblas_gemm<hipsparselt_fp8_e4m3_fnuz, double, float>(order, transA, transB, m, n, k, alpha,
A, lda, sizeA, B, ldb, sizeB, beta,
C_double, ldc, sizeC, alphaVec, alt);
for(size_t i = 0; i < sizeC; i++)
C[i] = static_cast<float>(C_double[i]);
}
template <>
void cblas_gemm<hipsparselt_fp8_e5m2_fnuz, float, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const hipsparselt_fp8_e5m2_fnuz* A,
int64_t lda,
int64_t sizeA,
const hipsparselt_fp8_e5m2_fnuz* B,
int64_t ldb,
int64_t sizeB,
float beta,
float* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
host_vector<double> C_double(sizeC);
for(size_t i = 0; i < sizeC; i++)
C_double[i] = static_cast<double>(C[i]);
cblas_gemm<hipsparselt_fp8_e5m2_fnuz, double, float>(order, transA, transB, m, n, k, alpha,
A, lda, sizeA, B, ldb, sizeB, beta,
C_double, ldc, sizeC, alphaVec, alt);
for(size_t i = 0; i < sizeC; i++)
C[i] = static_cast<float>(C_double[i]);
}
#endif // HIPSPARSELT_CLIENT_ENABLE_FP8_FNUZ
#ifdef HIPSPARSELT_CLIENT_ENABLE_FP8_OCP
#ifdef __HIP_PLATFORM_NVIDIA__
template <>
void cblas_gemm<hipsparselt_fp8_e4m3, __half, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const hipsparselt_fp8_e4m3* A,
int64_t lda,
int64_t sizeA,
const hipsparselt_fp8_e4m3* B,
int64_t ldb,
int64_t sizeB,
float beta,
__half* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
host_vector<double> C_double(sizeC);
for(size_t i = 0; i < sizeC; i++)
C_double[i] = static_cast<double>(C[i]);
cblas_gemm<hipsparselt_fp8_e4m3, double, float>(order, transA, transB, m, n, k, alpha,
A, lda, sizeA, B, ldb, sizeB, beta,
C_double, ldc, sizeC, alphaVec, alt);
for(size_t i = 0; i < sizeC; i++)
C[i] = static_cast<__half>(C_double[i]);
}
template <>
void cblas_gemm<hipsparselt_fp8_e4m3, hip_bfloat16, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const hipsparselt_fp8_e4m3* A,
int64_t lda,
int64_t sizeA,
const hipsparselt_fp8_e4m3* B,
int64_t ldb,
int64_t sizeB,
float beta,
hip_bfloat16* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
host_vector<double> C_double(sizeC);
for(size_t i = 0; i < sizeC; i++)
C_double[i] = static_cast<double>(C[i]);
cblas_gemm<hipsparselt_fp8_e4m3, double, float>(order, transA, transB, m, n, k, alpha,
A, lda, sizeA, B, ldb, sizeB, beta,
C_double, ldc, sizeC, alphaVec, alt);
for(size_t i = 0; i < sizeC; i++)
C[i] = static_cast<hip_bfloat16>(C_double[i]);
}
template <>
void cblas_gemm<hipsparselt_fp8_e5m2, __half, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const hipsparselt_fp8_e5m2* A,
int64_t lda,
int64_t sizeA,
const hipsparselt_fp8_e5m2* B,
int64_t ldb,
int64_t sizeB,
float beta,
__half* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
host_vector<double> C_double(sizeC);
for(size_t i = 0; i < sizeC; i++)
C_double[i] = static_cast<double>(C[i]);
cblas_gemm<hipsparselt_fp8_e5m2, double, float>(order, transA, transB, m, n, k, alpha,
A, lda, sizeA, B, ldb, sizeB, beta,
C_double, ldc, sizeC, alphaVec, alt);
for(size_t i = 0; i < sizeC; i++)
C[i] = static_cast<__half>(C_double[i]);
}
template <>
void cblas_gemm<hipsparselt_fp8_e5m2, hip_bfloat16, float>(hipsparseOrder_t order,
hipsparseOperation_t transA,
hipsparseOperation_t transB,
int64_t m,
int64_t n,
int64_t k,
float alpha,
const hipsparselt_fp8_e5m2* A,
int64_t lda,
int64_t sizeA,
const hipsparselt_fp8_e5m2* B,
int64_t ldb,
int64_t sizeB,
float beta,
hip_bfloat16* C,
int64_t ldc,
int64_t sizeC,
float* alphaVec,
bool alt)
{
host_vector<double> C_double(sizeC);
for(size_t i = 0; i < sizeC; i++)
C_double[i] = static_cast<double>(C[i]);
cblas_gemm<hipsparselt_fp8_e5m2, double, float>(order, transA, transB, m, n, k, alpha,
A, lda, sizeA, B, ldb, sizeB, beta,
C_double, ldc, sizeC, alphaVec, alt);
for(size_t i = 0; i < sizeC; i++)
C[i] = static_cast<hip_bfloat16>(C_double[i]);
}
#endif // __HIP_PLATFORM_NVIDIA__
#endif // HIPSPARSELT_CLIENT_ENABLE_FP8_OCP