//===================================================================================================================
//===================================================================================================================
//===================================================================================================================
extern "C" void
magma_slarft_sm32x32_batched(magma_int_t n, magma_int_t k, float **v_array, magma_int_t ldv,
float **tau_array, float **T_array, magma_int_t ldt, magma_int_t batchCount, cublasHandle_t myhandle, magma_queue_t queue)
{
if( k <= 0) return;
//==================================
// GEMV
//==================================
#define USE_GEMV2
#define use_gemm_larft_sm32
#if defined(use_gemm_larft_sm32)
//magmablas_sgemm_batched( MagmaConjTrans, MagmaNoTrans, k, k, n, MAGMA_S_ONE, v_array, ldv, v_array, ldv, MAGMA_S_ZERO, T_array, ldt, batchCount, queue);
cublasSgemmBatched(myhandle, CUBLAS_OP_C, CUBLAS_OP_N, k, k, n,
&one, (const float**) v_array, ldv,
(const float**) v_array, ldv,
&zero, T_array, ldt, batchCount);
magmablas_slaset_batched(MagmaLower, k, k, MAGMA_S_ZERO, MAGMA_S_ZERO, T_array, ldt, batchCount, queue);
#else
#if 1
for(int i=0; i<k; i++)
{
//W(1:i-1) := - tau(i) * V(i:n,1:i-1)' * V(i:n,i)
//T( i, i ) = tau( i )
//custom implementation.
#ifdef USE_GEMV2
magmablas_slarft_gemvrowwise_batched( n-i, i,
tau_array,
v_array, ldv,
T_array, ldt,
batchCount, queue);
#else
magmablas_slarft_gemvcolwise_batched( n-i, i, v_array, ldv, T_array, ldt, tau_array, batchCount, queue);
#endif
}
#else
//seems to be very slow when k=32 while the one by one loop above is faster
slarft_gemv_loop_inside_kernel_batched(n, k, tau_array, v_array, ldv, T_array, ldt, batchCount, queue);
#endif
#endif
//==================================
// TRMV
//==================================
//T(1:i-1,i) := T(1:i-1,1:i-1) * W(1:i-1) i=[1:k]
magmablas_slarft_strmv_sm32x32_batched(k, k, tau_array, T_array, ldt, T_array, ldt, batchCount, queue);
}
void caffe_gpu_gemm_batched<float>(const CBLAS_TRANSPOSE TransA,
const CBLAS_TRANSPOSE TransB, const int M, const int N, const int K,
const float alpha, const float** A, const float** B, const float beta,
float** C,
int batch_count){
// Note that cublas follows fortran order.
int lda = (TransA == CblasNoTrans) ? K : M;
int ldb = (TransB == CblasNoTrans) ? N : K;
cublasOperation_t cuTransA =
(TransA == CblasNoTrans) ? CUBLAS_OP_N : CUBLAS_OP_T;
cublasOperation_t cuTransB =
(TransB == CblasNoTrans) ? CUBLAS_OP_N : CUBLAS_OP_T;
CUBLAS_CHECK(cublasSgemmBatched(Caffe::get_current_cublas_handle(), cuTransB, cuTransA,
N, M, K, &alpha, B, ldb, A, lda, &beta, C, N,
batch_count));
}
extern "C" magma_int_t
magma_sgetrf_recpanel_batched_q(
magma_int_t m, magma_int_t n, magma_int_t min_recpnb,
float** dA_array, magma_int_t ldda,
magma_int_t** dipiv_array, magma_int_t** dpivinfo_array,
float** dX_array, magma_int_t dX_length,
float** dinvA_array, magma_int_t dinvA_length,
float** dW1_displ, float** dW2_displ,
float** dW3_displ, float** dW4_displ,
float** dW5_displ,
magma_int_t *info_array, magma_int_t gbstep,
magma_int_t batchCount, magma_queue_t stream, cublasHandle_t myhandle)
{
//magma_int_t DEBUG = 3;
// Quick return if possible
if (m ==0 || n == 0) {
return 0;
}
float **dA_displ = NULL;
magma_malloc((void**)&dA_displ, batchCount * sizeof(*dA_displ));
magma_int_t **dipiv_displ = NULL;
magma_malloc((void**)&dipiv_displ, batchCount * sizeof(*dipiv_displ));
magma_int_t panel_nb = n;
if(panel_nb <= min_recpnb){
//if(DEBUG>0)printf("calling bottom panel recursive with m=%d nb=%d\n",m,n);
// panel factorization
//magma_sdisplace_pointers(dA_displ, dA_array, ldda, 0, 0, batchCount);
magma_sgetf2_batched(
m, panel_nb,
dA_array, ldda,
dW1_displ, dW2_displ, dW3_displ,
dipiv_array, info_array, gbstep, batchCount, myhandle);
}
else{
// split A over two [A A2]
// panel on A1, update on A2 then panel on A1
magma_int_t n1 = n/2;
magma_int_t n2 = n-n1;
magma_int_t m1 = m;
magma_int_t m2 = m-n1;
magma_int_t p1 = 0;
magma_int_t p2 = n1;
// panel on A1
//if(DEBUG>0)printf("calling recursive panel on A1 with m=%d nb=%d min_recpnb %d\n",m1,n1,min_recpnb);
magma_sdisplace_pointers(dA_displ, dA_array, ldda, p1, p1, batchCount);
magma_idisplace_pointers(dipiv_displ, dipiv_array, 1, p1, 0, batchCount);
magma_sgetrf_recpanel_batched_q(
m1, n1, min_recpnb,
dA_displ, ldda,
dipiv_displ, dpivinfo_array,
dX_array, dX_length,
dinvA_array, dinvA_length,
dW1_displ, dW2_displ,
dW3_displ, dW4_displ, dW5_displ,
info_array, gbstep, batchCount, stream, myhandle);
// update A2
//if(DEBUG>0)printf("calling TRSM with m=%d n=%d \n",m1,n2);
// setup pivinfo
setup_pivinfo_batched_q(dpivinfo_array, dipiv_displ, m1, n1, stream, batchCount);
magma_sdisplace_pointers(dW5_displ, dA_array, ldda, p1, p2, batchCount);
magma_slaswp_rowparallel_batched( n2, dW5_displ, ldda,
dX_array, n1,
0, n1,
dpivinfo_array, batchCount);
magmablas_strsm_outofplace_batched(MagmaLeft, MagmaLower, MagmaNoTrans, MagmaUnit, 1,
n1, n2,
MAGMA_S_ONE,
dA_displ, ldda, // dA
dX_array, n1, // dB
dW5_displ, ldda, // dX
dinvA_array, dinvA_length,
dW1_displ, dW2_displ,
dW3_displ, dW4_displ,
0, batchCount);
magma_sdisplace_pointers(dW1_displ, dA_array, ldda, p2, 0, batchCount);
magma_sdisplace_pointers(dA_displ, dA_array, ldda, p2, p2, batchCount);
//if(DEBUG>0)printf("calling update A2(%d,%d) -= A(%d,%d)*A(%d,%d) with m=%d n=%d k=%d ldda %d\n",p2,p2,p2,0,p1,p2,m2,n2,n1,ldda);
#if 0
float neg_one = MAGMA_S_NEG_ONE;
float one = MAGMA_S_ONE;
cublasSgemmBatched(myhandle, CUBLAS_OP_N, CUBLAS_OP_N, m2, n2, n1,
&neg_one, (const float**) dW1_displ, ldda,
(const float**) dW5_displ, ldda,
&one, dA_displ, ldda, batchCount );
#else
magmablas_sgemm_batched( MagmaNoTrans, MagmaNoTrans, m2, n2, n1,
MAGMA_S_NEG_ONE, dW1_displ, ldda,
dW5_displ, ldda,
MAGMA_S_ONE, dA_displ, ldda,
batchCount);
#endif
// panel on A2
//if(DEBUG>0)printf("calling recursive panel on A2 with m=%d nb=%d min_recpnb %d\n",m2,n2,min_recpnb);
magma_idisplace_pointers(dipiv_displ, dipiv_array, 1, p2, 0, batchCount);
magma_sgetrf_recpanel_batched_q(
m2, n2, min_recpnb,
dA_displ, ldda,
dipiv_displ, dpivinfo_array,
dX_array, dX_length,
dinvA_array, dinvA_length,
dW1_displ, dW2_displ,
dW3_displ, dW4_displ, dW5_displ,
info_array, gbstep+p2, batchCount, stream, myhandle);
// setup pivinfo
setup_pivinfo_batched_q(dpivinfo_array, dipiv_displ, m2, n2, stream, batchCount);
adjust_ipiv_batched_q(dipiv_displ, n2, n1, magma_stream, batchCount);
magma_sdisplace_pointers(dW1_displ, dA_array, ldda, p2, 0, batchCount); // no need since it is above
magma_slaswp_rowparallel_batched( n1, dW1_displ, ldda,
dW1_displ, ldda,
n1, n,
dpivinfo_array, batchCount);
}
magma_free(dA_displ);
magma_free(dipiv_displ);
return 0;
}
extern "C" magma_int_t
magma_slarft_batched(magma_int_t n, magma_int_t k, magma_int_t stair_T,
float **v_array, magma_int_t ldv,
float **tau_array, float **T_array, magma_int_t ldt,
float **work_array, magma_int_t lwork, magma_int_t batchCount, cublasHandle_t myhandle,
magma_queue_t queue)
{
if( k <= 0) return 0;
if( stair_T > 0 && k <= stair_T) return 0;
magma_int_t maxnb = max_shared_bsiz;
if( lwork < k*ldt)
{
magma_xerbla( __func__, -(10) );
return -10;
}
if( stair_T > 0 && stair_T > maxnb)
{
magma_xerbla( __func__, -(3) );
return -3;
}
magma_int_t DEBUG=0;
magma_int_t nb = stair_T == 0 ? min(k,maxnb) : stair_T;
magma_int_t i, j, prev_n, mycol, rows;
float **dW1_displ = NULL;
float **dW2_displ = NULL;
float **dW3_displ = NULL;
float **dTstep_array = NULL;
magma_malloc((void**)&dW1_displ, batchCount * sizeof(*dW1_displ));
magma_malloc((void**)&dW2_displ, batchCount * sizeof(*dW2_displ));
magma_malloc((void**)&dW3_displ, batchCount * sizeof(*dW3_displ));
magma_malloc((void**)&dTstep_array, batchCount * sizeof(*dTstep_array));
//float *Tstep = k > nb ? work : T;
if(k > nb)
{
magma_sdisplace_pointers(dTstep_array, work_array, lwork, 0, 0, batchCount, queue);
}
else
{
magma_sdisplace_pointers(dTstep_array, T_array, ldt, 0, 0, batchCount, queue);
}
//magma_int_t ldtstep = k > nb ? k : ldt;
magma_int_t ldtstep = ldt; //a enlever
// stair_T = 0 meaning all T
// stair_T > 0 meaning the triangular portion of T has been computed.
// the value of stair_T is the nb of these triangulars
//GEMV compute the whole triangular upper portion of T (phase 1)
// TODO addcublas to check perf
#ifdef RFT_MAG_GEM
magmablas_sgemm_batched( MagmaConjTrans, MagmaNoTrans,
k, k, n,
one, v_array, ldv,
v_array, ldv,
zero, dTstep_array, ldtstep,
batchCount, queue);
#else
cublasSgemmBatched(myhandle, CUBLAS_OP_C, CUBLAS_OP_N, k, k, n,
&one, (const float**) v_array, ldv,
(const float**) v_array, ldv,
&zero, dTstep_array, ldtstep, batchCount);
#endif
magmablas_slaset_batched(MagmaLower, k, k, MAGMA_S_ZERO, MAGMA_S_ZERO, dTstep_array, ldtstep, batchCount, queue);
// no need for it as T is expected to be lower zero
//if(k > nb) magmablas_slaset_batched(MagmaLower, k, k, MAGMA_S_ZERO, MAGMA_S_ZERO, dTstep_array, ldtstep, batchCount);
//TRMV
//T(1:i-1,i) := T(1:i-1,1:i-1) * W(1:i-1) i=[1:k]
// TRMV is split over block of column of size nb
// the update should be done from top to bottom so:
// 1- a gemm using the previous computed columns
// of T to update rectangular upper protion above
// the triangle of my columns
// 2- the columns need to be updated by a serial
// loop over of gemv over itself. since we limit the
// shared memory to nb, this nb column
// are split vertically by chunk of nb rows
dim3 grid(1, 1, batchCount);
for(j=0; j<k; j+=nb)
{
prev_n = j;
mycol = min(nb, k-j);
// note that myrow = prev_n + mycol;
if(prev_n>0 && mycol>0){
if(DEBUG==3) printf("doing gemm on the rectangular portion of size %d %d of T(%d,%d)\n",prev_n,mycol,0,j);
magma_sdisplace_pointers(dW1_displ, dTstep_array, ldtstep, 0, j, batchCount, queue);
magma_sdisplace_pointers(dW2_displ, T_array, ldt, 0, j, batchCount, queue);
#ifdef RFT_MAG_GEM
magmablas_sgemm_batched( MagmaNoTrans, MagmaNoTrans,
prev_n, mycol, prev_n,
one, T_array, ldt,
dW1_displ, ldtstep,
zero, dW2_displ, ldt,
batchCount, queue );
#else
cublasSgemmBatched(myhandle, CUBLAS_OP_N, CUBLAS_OP_N,
prev_n, mycol, prev_n,
&one, (const float**) T_array, ldt,
(const float**) dW1_displ, ldtstep,
&zero, dW2_displ, ldt, batchCount);
#endif
// update my rectangular portion (prev_n,mycol) using sequence of gemv
magma_sdisplace_pointers(dW1_displ, dTstep_array, ldtstep, j, j, batchCount, queue);
magma_sdisplace_pointers(dW3_displ, tau_array, 1, j, 0, batchCount, queue);
for(i=0; i<prev_n; i+=nb)
{
rows = min(nb,prev_n-i);
if(DEBUG==3) printf(" doing recstrmv on the rectangular portion of size %d %d of T(%d,%d)\n",rows,mycol,i,j);
if(rows>0 && mycol>0)
{
magma_sdisplace_pointers(dW2_displ, T_array, ldt, i, j, batchCount, queue);
magmablas_slarft_recstrmv_sm32x32_batched(rows, mycol, dW3_displ, dW2_displ, ldt, dW1_displ, ldtstep, batchCount, queue);
}
}
}
// the upper rectangular protion is updated, now if needed update the triangular portion
if(stair_T == 0){
if(DEBUG==3) printf("doing strmv on the triangular portion of size %d %d of T(%d,%d)\n",mycol,mycol,j,j);
if(mycol>0)
{
magma_sdisplace_pointers(dW1_displ, dTstep_array, ldtstep, j, j, batchCount, queue);
magma_sdisplace_pointers(dW3_displ, tau_array, 1, j, 0, batchCount, queue);
magma_sdisplace_pointers(dW2_displ, T_array, ldt, j, j, batchCount, queue);
magmablas_slarft_strmv_sm32x32_batched(mycol, mycol, dW3_displ, dW1_displ, ldtstep, dW2_displ, ldt, batchCount, queue);
}
}
}// end of j
magma_free(dW1_displ);
magma_free(dW2_displ);
magma_free(dW3_displ);
magma_free(dTstep_array);
return 0;
}
static int sgemmBatch(cb_order order, cb_transpose transA, cb_transpose transB,
size_t M, size_t N, size_t K, float alpha,
gpudata **A, size_t *offA, size_t lda,
gpudata **B, size_t *offB, size_t ldb,
float beta, gpudata **C, size_t *offC, size_t ldc,
size_t batchCount) {
cuda_context *ctx;
size_t *lt, t;
gpudata **T;
size_t i;
cb_transpose transT;
cublasStatus_t err;
if (batchCount == 0) return GA_NO_ERROR;
ASSERT_BUF(A[0]);
ctx = A[0]->ctx;
cuda_enter(ctx);
if (order == cb_c) {
/* swap A and B */
t = N;
N = M;
M = t;
T = A;
A = B;
B = T;
t = lda;
lda = ldb;
ldb = t;
transT = transA;
transA = transB;
transB = transT;
lt = offA;
offA = offB;
offB = lt;
}
// use parallel cublasSgemm calls rather than cublasSgemmBatched for large products
const size_t threshold = 650;
const int multiple_dispatch = M * N * K > threshold * threshold * threshold;
if (multiple_dispatch) {
for (i = 0; i < batchCount; i++) {
ASSERT_BUF(A[i]);
ASSERT_BUF(B[i]);
ASSERT_BUF(C[i]);
cuda_wait(A[i], CUDA_WAIT_READ);
cuda_wait(B[i], CUDA_WAIT_READ);
cuda_wait(C[i], CUDA_WAIT_READ|CUDA_WAIT_WRITE);
err = cublasSgemm(((blas_handle *)ctx->blas_handle)->h,
convT(transA), convT(transB),
M, N, K, &alpha,
(float*)A[i]->ptr + offA[i], lda,
(float*)B[i]->ptr + offB[i], ldb,
&beta,
(float*)C[i]->ptr + offC[i], ldc);
if (err != CUBLAS_STATUS_SUCCESS) {
cuda_exit(ctx);
if (err == CUBLAS_STATUS_ARCH_MISMATCH)
return GA_DEVSUP_ERROR;
return GA_BLAS_ERROR;
}
cuda_record(A[i], CUDA_WAIT_READ);
cuda_record(B[i], CUDA_WAIT_READ);
cuda_record(C[i], CUDA_WAIT_READ|CUDA_WAIT_WRITE);
}
} else {
float **T_l = alloca(sizeof(float *) * batchCount * 3);
const float **A_l = (const float **)T_l;
const float **B_l = (const float **)T_l + batchCount;
float **C_l = T_l + (batchCount * 2);
CUdeviceptr Ta, Aa, Ba, Ca;
for (i = 0; i < batchCount; i++) {
ASSERT_BUF(A[i]);
ASSERT_BUF(B[i]);
ASSERT_BUF(C[i]);
cuda_wait(A[i], CUDA_WAIT_READ);
cuda_wait(B[i], CUDA_WAIT_READ);
cuda_wait(C[i], CUDA_WAIT_READ|CUDA_WAIT_WRITE);
A_l[i] = ((float *)A[i]->ptr) + offA[i];
B_l[i] = ((float *)B[i]->ptr) + offB[i];
C_l[i] = ((float *)C[i]->ptr) + offC[i];
}
cuMemAlloc(&Ta, sizeof(float *) * batchCount * 3);
Aa = Ta;
Ba = Ta + (batchCount * sizeof(float *));
Ca = Ta + (batchCount * sizeof(float *) * 2);
cuMemcpyHtoD(Ta, T_l, sizeof(float *) * batchCount * 3);
err = cublasSgemmBatched(((blas_handle *)ctx->blas_handle)->h,
convT(transA), convT(transB),
M, N, K, &alpha, (const float **)Aa, lda,
(const float **)Ba, ldb, &beta,
(float **)Ca, ldc, batchCount);
cuMemFree(Ta);
if (err != CUBLAS_STATUS_SUCCESS) {
cuda_exit(ctx);
if (err == CUBLAS_STATUS_ARCH_MISMATCH)
return GA_DEVSUP_ERROR;
return GA_BLAS_ERROR;
}
for (i = 0; i < batchCount; i++) {
cuda_record(A[i], CUDA_WAIT_READ);
cuda_record(B[i], CUDA_WAIT_READ);
cuda_record(C[i], CUDA_WAIT_READ|CUDA_WAIT_WRITE);
}
}
cuda_exit(ctx);
return GA_NO_ERROR;
}
extern "C" magma_int_t
magma_sgetf2_nopiv_batched(
magma_int_t m, magma_int_t n,
float **dA_array, magma_int_t lda,
float **dW0_displ,
float **dW1_displ,
float **dW2_displ,
magma_int_t *info_array,
magma_int_t gbstep,
magma_int_t batchCount,
cublasHandle_t myhandle)
{
magma_int_t arginfo = 0;
if (m < 0) {
arginfo = -1;
} else if (n < 0 ) {
arginfo = -2;
} else if (lda < max(1,m)) {
arginfo = -4;
}
if (arginfo != 0) {
magma_xerbla( __func__, -(arginfo) );
return arginfo;
}
// Quick return if possible
if (m == 0 || n == 0) {
return arginfo;
}
float neg_one = MAGMA_S_NEG_ONE;
float one = MAGMA_S_ONE;
magma_int_t nb = 32;//BATF2_NB;
magma_int_t min_mn = min(m, n);
magma_int_t gbj, panelj, step, ib;
for( panelj=0; panelj < min_mn; panelj+=nb)
{
ib = min(nb, min_mn-panelj);
for(step=0; step < ib; step++){
gbj = panelj+step;
#if 0
size_t required_shmem_size = ((m-panelj)*ib)*sizeof(float);
if( required_shmem_size > (MAX_SHARED_ALLOWED*1024))
#else
if( (m-panelj) > 0)
#endif
{
// Compute elements J+1:M of J-th column.
if (gbj < m) {
arginfo = magma_sscal_sger_batched(m-gbj, ib-step, gbj, dA_array, lda, info_array, gbstep, batchCount);
if(arginfo != 0 ) return arginfo;
}
}
else{
// TODO
}
}
if( (n-panelj-ib) > 0){
// continue the update of the selected ib row column panelj+ib:n(TRSM)
magma_sgetf2trsm_batched(ib, n-panelj-ib, dA_array, panelj, lda, batchCount);
// do the blocked DGER = DGEMM for the remaining panelj+ib:n columns
magma_sdisplace_pointers(dW0_displ, dA_array, lda, ib+panelj, panelj, batchCount);
magma_sdisplace_pointers(dW1_displ, dA_array, lda, panelj, ib+panelj, batchCount);
magma_sdisplace_pointers(dW2_displ, dA_array, lda, ib+panelj, ib+panelj, batchCount);
#if 1
magmablas_sgemm_batched( MagmaNoTrans, MagmaNoTrans, m-(panelj+ib), n-(panelj+ib), ib,
neg_one, dW0_displ, lda,
dW1_displ, lda,
one, dW2_displ, lda,
batchCount);
#else
cublasSgemmBatched(myhandle, CUBLAS_OP_N, CUBLAS_OP_N, m-(panelj+ib), n-(panelj+ib), ib,
&neg_one, (const float**) dW0_displ, lda,
(const float**) dW1_displ, lda,
&one, dW2_displ, lda, batchCount );
#endif
}
}
//free(cpuAarray);
return 0;
}
extern "C" magma_int_t
magma_sgetf2_batched(
magma_int_t m, magma_int_t n,
float **dA_array, magma_int_t lda,
float **dW0_displ,
float **dW1_displ,
float **dW2_displ,
magma_int_t **ipiv_array,
magma_int_t *info_array,
magma_int_t gbstep,
magma_int_t batchCount,
cublasHandle_t myhandle, magma_queue_t queue)
{
magma_int_t arginfo = 0;
if (m < 0) {
arginfo = -1;
} else if (n < 0 ) {
arginfo = -2;
} else if (lda < max(1,m)) {
arginfo = -4;
}
if (arginfo != 0) {
magma_xerbla( __func__, -(arginfo) );
return arginfo;
}
// Quick return if possible
if (m == 0 || n == 0) {
return arginfo;
}
float neg_one = MAGMA_S_NEG_ONE;
float one = MAGMA_S_ONE;
magma_int_t nb = BATF2_NB;
//float **cpuAarray = (float**) malloc(batchCount*sizeof(float*));
//magma_getvector( batchCount, sizeof(float*), dA_array, 1, cpuAarray, 1);
magma_int_t min_mn = min(m, n);
magma_int_t gbj, panelj, step, ib;
for( panelj=0; panelj < min_mn; panelj+=nb)
{
ib = min(nb, min_mn-panelj);
for(step=0; step < ib; step++){
gbj = panelj+step;
//size_t required_shmem_size = zamax*(sizeof(float)+sizeof(int)) + (m-panelj+2)*sizeof(float);
//if( (m-panelj) > 0)
if( (m-panelj) > MAX_NTHREADS)
//if( required_shmem_size > (MAX_SHARED_ALLOWED*1024))
{
//printf("running non shared version\n");
// find the max of the column gbj
arginfo = magma_isamax_batched(m-gbj, dA_array, 1, gbj, lda, ipiv_array, info_array, gbstep, batchCount, queue);
if(arginfo != 0 ) return arginfo;
// Apply the interchange to columns 1:N. swap the whole row
arginfo = magma_sswap_batched(n, dA_array, lda, gbj, ipiv_array, batchCount, queue);
if(arginfo != 0 ) return arginfo;
// Compute elements J+1:M of J-th column.
if (gbj < m) {
arginfo = magma_sscal_sger_batched(m-gbj, ib-step, gbj, dA_array, lda, info_array, gbstep, batchCount, queue);
if(arginfo != 0 ) return arginfo;
}
}
else{
//printf("running --- shared version\n");
arginfo = magma_scomputecolumn_batched(m-panelj, panelj, step, dA_array, lda, ipiv_array, info_array, gbstep, batchCount, queue);
if(arginfo != 0 ) return arginfo;
// Apply the interchange to columns 1:N. swap the whole row
arginfo = magma_sswap_batched(n, dA_array, lda, gbj, ipiv_array, batchCount, queue);
if(arginfo != 0 ) return arginfo;
}
}
if( (n-panelj-ib) > 0){
// continue the update of the selected ib row column panelj+ib:n(TRSM)
magma_sgetf2trsm_batched(ib, n-panelj-ib, dA_array, panelj, lda, batchCount, queue);
// do the blocked DGER = DGEMM for the remaining panelj+ib:n columns
magma_sdisplace_pointers(dW0_displ, dA_array, lda, ib+panelj, panelj, batchCount, queue);
magma_sdisplace_pointers(dW1_displ, dA_array, lda, panelj, ib+panelj, batchCount, queue);
magma_sdisplace_pointers(dW2_displ, dA_array, lda, ib+panelj, ib+panelj, batchCount, queue);
#if 1
magmablas_sgemm_batched( MagmaNoTrans, MagmaNoTrans, m-(panelj+ib), n-(panelj+ib), ib,
neg_one, dW0_displ, lda,
dW1_displ, lda,
one, dW2_displ, lda,
batchCount, queue);
#else
cublasSgemmBatched(myhandle, CUBLAS_OP_N, CUBLAS_OP_N, m-(panelj+ib), n-(panelj+ib), ib,
&neg_one, (const float**) dW0_displ, lda,
(const float**) dW1_displ, lda,
&one, dW2_displ, lda, batchCount );
#endif
}
}
//free(cpuAarray);
return 0;
}
