mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-12-24 02:14:35 +00:00
Fix nasty bug in ggml_compute_forward_mul_mat_f32() and reenable BLAS
This commit is contained in:
Georgi Gerganov
parent
e899bf54b2
commit
2a2e63ce05
174
ggml.c
174
ggml.c
@ -2638,7 +2638,7 @@ static inline int ggml_up(int n, int m) {
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// assert that pointer is aligned to GGML_MEM_ALIGN
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#define ggml_assert_aligned(ptr) \
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assert(((uintptr_t) (ptr))%GGML_MEM_ALIGN == 0)
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GGML_ASSERT(((uintptr_t) (ptr))%GGML_MEM_ALIGN == 0)
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////////////////////////////////////////////////////////////////////////////////
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@ -4566,7 +4566,7 @@ static void ggml_compute_forward_dup_f16(
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if (src0->nb[0] == sizeof(ggml_fp16_t)) {
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if (dst->type == GGML_TYPE_F16) {
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int id = 0;
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size_t id = 0;
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const size_t rs = ne00*nb00;
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for (int i03 = 0; i03 < ne03; i03++) {
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@ -4582,7 +4582,7 @@ static void ggml_compute_forward_dup_f16(
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}
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}
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} else if (dst->type == GGML_TYPE_F32) {
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int id = 0;
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size_t id = 0;
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float * dst_ptr = (float *) dst->data;
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for (int i03 = 0; i03 < ne03; i03++) {
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@ -4604,7 +4604,7 @@ static void ggml_compute_forward_dup_f16(
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//printf("%s: this is not optimal - fix me\n", __func__);
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if (dst->type == GGML_TYPE_F32) {
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int id = 0;
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size_t id = 0;
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float * dst_ptr = (float *) dst->data;
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for (int i03 = 0; i03 < ne03; i03++) {
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@ -4620,7 +4620,7 @@ static void ggml_compute_forward_dup_f16(
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}
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}
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} else if (dst->type == GGML_TYPE_F16) {
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int id = 0;
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size_t id = 0;
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ggml_fp16_t * dst_ptr = (ggml_fp16_t *) dst->data;
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for (int i03 = 0; i03 < ne03; i03++) {
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@ -4670,7 +4670,7 @@ static void ggml_compute_forward_dup_f32(
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if (src0->nb[0] == sizeof(float)) {
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if (dst->type == GGML_TYPE_F32) {
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int id = 0;
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size_t id = 0;
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const size_t rs = ne00*nb00;
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for (int i03 = 0; i03 < ne03; i03++) {
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@ -4686,7 +4686,7 @@ static void ggml_compute_forward_dup_f32(
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}
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}
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} else if (dst->type == GGML_TYPE_F16) {
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int id = 0;
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size_t id = 0;
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ggml_fp16_t * dst_ptr = (ggml_fp16_t *) dst->data;
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for (int i03 = 0; i03 < ne03; i03++) {
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@ -4708,7 +4708,7 @@ static void ggml_compute_forward_dup_f32(
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//printf("%s: this is not optimal - fix me\n", __func__);
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if (dst->type == GGML_TYPE_F32) {
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int id = 0;
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size_t id = 0;
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float * dst_ptr = (float *) dst->data;
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for (int i03 = 0; i03 < ne03; i03++) {
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@ -4724,7 +4724,7 @@ static void ggml_compute_forward_dup_f32(
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}
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}
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} else if (dst->type == GGML_TYPE_F16) {
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int id = 0;
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size_t id = 0;
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ggml_fp16_t * dst_ptr = (ggml_fp16_t *) dst->data;
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for (int i03 = 0; i03 < ne03; i03++) {
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@ -5854,20 +5854,11 @@ static bool ggml_compute_forward_mul_mat_use_blas(
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const int ne0 = dst->ne[0];
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const int ne1 = dst->ne[1];
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// TMP: disable BLAS for now there is definitely a bug
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return false;
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// TODO: find the optimal values for these
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if (ggml_is_contiguous(src0) &&
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ggml_is_contiguous(src1) && ((ne0 >= 32 && ne1 >= 32 && ne10 >= 32))) {
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// disable BLAS for Q4_0 and Q4_1
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// there is a bug that has to be fixed before enabling
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if (src0->type == GGML_TYPE_Q4_0 || src0->type == GGML_TYPE_Q4_1) {
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return false;
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}
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//printf("BLAS: %d %d %d %d %d\n", ne0, ne1, ne10, ne00, ne01);
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/*printf("BLAS: %d %d %d %d %d\n", ne0, ne1, ne10, ne00, ne01);*/
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return true;
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}
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@ -5960,19 +5951,17 @@ static void ggml_compute_forward_mul_mat_f32(
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for (int i03 = 0; i03 < ne03; i03++) {
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for (int i02 = 0; i02 < ne02; i02++) {
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const float * x = (float *) (src0->data);
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const float * x = (float *) ((char *) src0->data + i02*nb02 + i03*nb03);
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const float * y = (float *) ((char *) src1->data + i02*nb12 + i03*nb13);
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float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3);
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// zT = y * xT
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{
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cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasTrans,
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ne11, ne01, ne10,
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1.0f, y, ne10,
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x, ne10,
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0.0f, d, ne01);
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}
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cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasTrans,
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ne11, ne01, ne10,
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1.0f, y, ne10,
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x, ne10,
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0.0f, d, ne01);
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}
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}
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@ -6208,7 +6197,7 @@ static void ggml_compute_forward_mul_mat_f16_f32(
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for (int i03 = 0; i03 < ne03; i03++) {
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for (int i02 = 0; i02 < ne02; i02++) {
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{
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int id = 0;
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size_t id = 0;
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for (int i01 = 0; i01 < ne01; ++i01) {
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for (int i00 = 0; i00 < ne00; ++i00) {
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wdata[id++] = GGML_FP16_TO_FP32(*(ggml_fp16_t *) ((char *) src0->data + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00));
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@ -6219,43 +6208,14 @@ static void ggml_compute_forward_mul_mat_f16_f32(
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const float * x = wdata;
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const float * y = (float *) ((char *) src1->data + i02*nb12 + i03*nb13);
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// float * z = wdata + ne00*ne01;
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// z = x * yT
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//{
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// cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasTrans,
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// ne01, ne11, ne00,
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// 1.0f, x, ne00,
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// y, ne00,
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// 0.0f, z, ne11);
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//}
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float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3);
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// transpose z
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//for (int j = 0; j < ne11; ++j) {
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// for (int i = 0; i < ne01; ++i) {
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// d[j*ne01 + i] = z[i*ne11 + j];
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// }
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//}
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{
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#if 1
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// zT = y * xT
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cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasTrans,
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ne11, ne01, ne10,
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1.0f, y, ne00,
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x, ne00,
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0.0f, d, ne01);
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#else
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// zT = (xT * y)T
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cblas_sgemm(CblasColMajor, CblasTrans, CblasNoTrans,
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ne01, ne11, ne10,
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1.0f, x, ne00,
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y, ne00,
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0.0f, d, ne01);
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#endif
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}
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// zT = y * xT
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cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasTrans,
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ne11, ne01, ne10,
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1.0f, y, ne10,
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x, ne10,
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0.0f, d, ne01);
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}
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}
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@ -6269,7 +6229,7 @@ static void ggml_compute_forward_mul_mat_f16_f32(
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if (nb01 >= nb00) {
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ggml_fp16_t * const wdata = params->wdata;
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int id = 0;
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size_t id = 0;
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for (int i13 = 0; i13 < ne13; ++i13) {
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for (int i12 = 0; i12 < ne12; ++i12) {
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for (int i11 = 0; i11 < ne11; ++i11) {
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@ -6514,7 +6474,7 @@ static void ggml_compute_forward_mul_mat_q4_0_f32(
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for (int i03 = 0; i03 < ne03; i03++) {
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for (int i02 = 0; i02 < ne02; i02++) {
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{
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int id = 0;
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size_t id = 0;
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for (int i01 = 0; i01 < ne01; ++i01) {
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//for (int i00 = 0; i00 < ne00; ++i00) {
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// wdata[id++] = GGML_FP16_TO_FP32(*(ggml_fp16_t *) ((char *) src0->data + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00));
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@ -6527,43 +6487,14 @@ static void ggml_compute_forward_mul_mat_q4_0_f32(
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const float * x = wdata;
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const float * y = (float *) ((char *) src1->data + i02*nb12 + i03*nb13);
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// float * z = wdata + ne00*ne01;
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// z = x * yT
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//{
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// cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasTrans,
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// ne01, ne11, ne00,
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// 1.0f, x, ne00,
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// y, ne00,
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// 0.0f, z, ne11);
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//}
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float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3);
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// transpose z
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//for (int j = 0; j < ne11; ++j) {
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// for (int i = 0; i < ne01; ++i) {
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// d[j*ne01 + i] = z[i*ne11 + j];
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// }
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//}
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{
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#if 1
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// zT = y * xT
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cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasTrans,
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ne11, ne01, ne10,
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1.0f, y, ne00,
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x, ne00,
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0.0f, d, ne01);
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#else
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// zT = (xT * y)T
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cblas_sgemm(CblasColMajor, CblasTrans, CblasNoTrans,
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ne01, ne11, ne10,
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1.0f, x, ne00,
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y, ne00,
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0.0f, d, ne01);
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#endif
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}
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// zT = y * xT
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cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasTrans,
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ne11, ne01, ne10,
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1.0f, y, ne10,
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x, ne10,
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0.0f, d, ne01);
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}
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}
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@ -6814,7 +6745,7 @@ static void ggml_compute_forward_mul_mat_q4_1_f32(
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for (int i03 = 0; i03 < ne03; i03++) {
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for (int i02 = 0; i02 < ne02; i02++) {
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{
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int id = 0;
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size_t id = 0;
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for (int i01 = 0; i01 < ne01; ++i01) {
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//for (int i00 = 0; i00 < ne00; ++i00) {
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// wdata[id++] = GGML_FP16_TO_FP32(*(ggml_fp16_t *) ((char *) src0->data + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00));
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@ -6827,43 +6758,14 @@ static void ggml_compute_forward_mul_mat_q4_1_f32(
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const float * x = wdata;
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const float * y = (float *) ((char *) src1->data + i02*nb12 + i03*nb13);
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// float * z = wdata + ne00*ne01;
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// z = x * yT
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//{
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// cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasTrans,
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// ne01, ne11, ne00,
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// 1.0f, x, ne00,
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// y, ne00,
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// 0.0f, z, ne11);
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//}
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float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3);
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// transpose z
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//for (int j = 0; j < ne11; ++j) {
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// for (int i = 0; i < ne01; ++i) {
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// d[j*ne01 + i] = z[i*ne11 + j];
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// }
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//}
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{
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#if 1
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// zT = y * xT
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cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasTrans,
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ne11, ne01, ne10,
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1.0f, y, ne00,
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x, ne00,
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0.0f, d, ne01);
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#else
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// zT = (xT * y)T
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cblas_sgemm(CblasColMajor, CblasTrans, CblasNoTrans,
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ne01, ne11, ne10,
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1.0f, x, ne00,
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y, ne00,
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0.0f, d, ne01);
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#endif
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}
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// zT = y * xT
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cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasTrans,
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ne11, ne01, ne10,
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1.0f, y, ne10,
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x, ne10,
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0.0f, d, ne01);
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}
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}
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@ -917,8 +917,7 @@ static bool llama_eval_internal(
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struct ggml_tensor * KQ_scaled =
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ggml_scale(ctx0,
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KQ,
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ggml_new_f32(ctx0, 1.0f/sqrt(float(n_embd)/n_head))
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);
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ggml_new_f32(ctx0, 1.0f/sqrt(float(n_embd)/n_head)));
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// KQ_masked = mask_past(KQ_scaled)
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struct ggml_tensor * KQ_masked = ggml_diag_mask_inf(ctx0, KQ_scaled, n_past);
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@ -934,7 +933,7 @@ static bool llama_eval_internal(
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ggml_view_1d(ctx0, kv_self.v, (n_past + N)*n_embd, il*n_ctx*ggml_element_size(kv_self.v)*n_embd),
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n_embd/n_head, n_head, n_past + N),
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1, 2, 0, 3),
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ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, n_past + N, n_embd/n_head, n_head));
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ggml_new_tensor_3d(ctx0, kv_self.v->type, n_past + N, n_embd/n_head, n_head));
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// KQV = transpose(V) * KQ_soft_max
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struct ggml_tensor * KQV = ggml_mul_mat(ctx0, V_trans, KQ_soft_max);
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