hexagon: Add ARGSORT, DIV, SQR, SQRT, SUM_ROWS, GEGLU (#19406)

* hexagon: add ARGSORT op

Co-authored-by: Yarden Tal <yardent@qti.qualcomm.com>

* hexagon: argsort reject tensors with huge rows for now

* Adding support for DIV,SQR,SQRT,SUM_ROWS ops in hexagon backend

* hexagon : Add GEGLU op

* hexagon: fix editor config check

* hexagon: rewrite and optimize binary ops ADD/SUB/MUL/DIV/ADD_ID to use DMA

---------

Co-authored-by: Yarden Tal <yardent@qti.qualcomm.com>
Co-authored-by: Manohara Hosakoppa Krishnamurthy <mhosakop@qti.qualcomm.com>
This commit is contained in:
Max Krasnyansky
2026-02-10 23:21:12 -08:00
committed by GitHub
co-authored by Yarden Tal Manohara Hosakoppa Krishnamurthy
parent 8ee538ce73
commit 73cd5e1b97
17 changed files with 1925 additions and 407 deletions
+106 -7
View File
@@ -1935,11 +1935,6 @@ static bool ggml_hexagon_supported_binary(const struct ggml_hexagon_session * se
return false;
}
// TODO: add support for non-contigiuos tensors
if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(src1) || !ggml_is_contiguous(dst)) {
return false;
}
return true;
}
@@ -1991,6 +1986,25 @@ static bool ggml_hexagon_supported_unary(const struct ggml_hexagon_session * ses
return true;
}
static bool ggml_hexagon_supported_sum_rows(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) {
const struct ggml_tensor * src0 = op->src[0];
const struct ggml_tensor * dst = op;
if (!hex_supported_src0_type(src0->type)) {
return false;
}
if (!hex_supported_dst_type(dst->type)) {
return false;
}
// TODO: add support for non-contigiuos tensors
if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(dst)) {
return false;
}
return true;
}
static bool ggml_hexagon_supported_activations(const struct ggml_hexagon_session * sess,
const struct ggml_tensor * op) {
const struct ggml_tensor * src0 = op->src[0];
@@ -2111,6 +2125,26 @@ static bool ggml_hexagon_supported_get_rows(const struct ggml_hexagon_session *
return true;
}
static bool ggml_hexagon_supported_argsort(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) {
const struct ggml_tensor * src0 = op->src[0]; // values
const struct ggml_tensor * dst = op; // indices
if (src0->type != GGML_TYPE_F32) {
return false;
}
if (dst->type != GGML_TYPE_I32) {
return false;
}
if (src0->ne[0] > (16*1024)) {
// reject tensors with huge rows for now
return false;
}
return true;
}
static bool ggml_hexagon_supported_rope(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) {
const int32_t * op_params = &op->op_params[0];
@@ -2278,6 +2312,9 @@ static inline size_t init_binary_req(htp_general_req * req, dspqueue_buffer * bu
case GGML_OP_SUB:
req->op = HTP_OP_SUB;
break;
case GGML_OP_DIV:
req->op = HTP_OP_DIV;
break;
default:
GGML_ABORT("ggml-hex: binary : unsupported op: %d\n", t->op);
break;
@@ -2316,6 +2353,17 @@ static inline size_t init_get_rows_req(htp_general_req * req, dspqueue_buffer *
return n_bufs;
}
static inline size_t init_argsort_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
req->op = HTP_OP_ARGSORT;
memcpy(&req->op_params, &t->op_params, sizeof(t->op_params));
size_t n_bufs = 0;
n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
n_bufs += htp_req_buff_init(&req->dst, &bufs[n_bufs], t, DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
return n_bufs;
}
template <bool _is_src0_constant>
static inline size_t init_binary_id_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
switch (t->op) {
@@ -2370,6 +2418,16 @@ static inline size_t init_unary_req(htp_general_req * req, dspqueue_buffer * buf
supported = true;
break;
case GGML_OP_SQR:
req->op = HTP_OP_SQR;
supported = true;
break;
case GGML_OP_SQRT:
req->op = HTP_OP_SQRT;
supported = true;
break;
case GGML_OP_UNARY:
if (ggml_get_unary_op(t) == GGML_UNARY_OP_SILU) {
req->op = HTP_OP_UNARY_SILU;
@@ -2387,6 +2445,9 @@ static inline size_t init_unary_req(htp_general_req * req, dspqueue_buffer * buf
} else if (ggml_get_glu_op(t) == GGML_GLU_OP_SWIGLU_OAI) {
req->op = HTP_OP_GLU_SWIGLU_OAI;
supported = true;
} else if (ggml_get_glu_op(t) == GGML_GLU_OP_GEGLU) {
req->op = HTP_OP_GLU_GEGLU;
supported = true;
}
break;
@@ -2411,6 +2472,17 @@ static inline size_t init_unary_req(htp_general_req * req, dspqueue_buffer * buf
return n_bufs;
}
static inline size_t init_sum_rows_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
memcpy(&req->op_params, &t->op_params, sizeof(t->op_params));
req->op = HTP_OP_SUM_ROWS;
size_t n_bufs = 0;
n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
n_bufs += htp_req_buff_init(&req->dst, &bufs[n_bufs], t, DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
return n_bufs;
}
static inline size_t init_rope_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
memcpy(&req->op_params, &t->op_params, sizeof(t->op_params));
req->op = HTP_OP_ROPE;
@@ -2519,6 +2591,7 @@ static ggml_status ggml_backend_hexagon_graph_compute(ggml_backend_t backend, gg
case GGML_OP_MUL:
case GGML_OP_ADD:
case GGML_OP_SUB:
case GGML_OP_DIV:
ggml_hexagon_dispatch_op<init_binary_req<false>>(sess, node, flags);
break;
case GGML_OP_ADD_ID:
@@ -2528,6 +2601,13 @@ static ggml_status ggml_backend_hexagon_graph_compute(ggml_backend_t backend, gg
case GGML_OP_SCALE:
ggml_hexagon_dispatch_op<init_unary_req>(sess, node, flags);
break;
case GGML_OP_SQR:
case GGML_OP_SQRT:
ggml_hexagon_dispatch_op<init_unary_req>(sess, node, flags);
break;
case GGML_OP_SUM_ROWS:
ggml_hexagon_dispatch_op<init_sum_rows_req>(sess, node, flags);
break;
case GGML_OP_UNARY:
if ((ggml_get_unary_op(node) == GGML_UNARY_OP_SILU) ||
(ggml_get_unary_op(node) == GGML_UNARY_OP_GELU)) {
@@ -2536,7 +2616,8 @@ static ggml_status ggml_backend_hexagon_graph_compute(ggml_backend_t backend, gg
break;
case GGML_OP_GLU:
if ((ggml_get_glu_op(node) == GGML_GLU_OP_SWIGLU) ||
(ggml_get_glu_op(node) == GGML_GLU_OP_SWIGLU_OAI)) {
(ggml_get_glu_op(node) == GGML_GLU_OP_SWIGLU_OAI) ||
(ggml_get_glu_op(node) == GGML_GLU_OP_GEGLU)) {
ggml_hexagon_dispatch_op<init_unary_req>(sess, node, flags);
}
break;
@@ -2564,6 +2645,10 @@ static ggml_status ggml_backend_hexagon_graph_compute(ggml_backend_t backend, gg
ggml_hexagon_dispatch_op<init_cpy_req>(sess, node, flags);
break;
case GGML_OP_ARGSORT:
ggml_hexagon_dispatch_op<init_argsort_req>(sess, node, flags);
break;
default:
GGML_ABORT("\nggml-hex: graph-compute %s is not supported\n", ggml_op_desc(node));
}
@@ -2916,6 +3001,7 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons
case GGML_OP_MUL:
case GGML_OP_ADD:
case GGML_OP_SUB:
case GGML_OP_DIV:
supp = ggml_hexagon_supported_binary(sess, op);
break;
@@ -2928,6 +3014,15 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons
supp = ggml_hexagon_supported_unary(sess, op);
break;
case GGML_OP_SQR:
case GGML_OP_SQRT:
supp = ggml_hexagon_supported_unary(sess, op);
break;
case GGML_OP_SUM_ROWS:
supp = ggml_hexagon_supported_sum_rows(sess, op);
break;
case GGML_OP_SOFT_MAX:
supp = ggml_hexagon_supported_softmax(sess, op);
break;
@@ -2943,7 +3038,7 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons
case GGML_OP_GLU:
{
const auto glu_op = ggml_get_glu_op(op);
if ((glu_op == GGML_GLU_OP_SWIGLU) || (glu_op == GGML_GLU_OP_SWIGLU_OAI)) {
if ((glu_op == GGML_GLU_OP_SWIGLU) || (glu_op == GGML_GLU_OP_SWIGLU_OAI) || (glu_op == GGML_GLU_OP_GEGLU)) {
supp = ggml_hexagon_supported_activations(sess, op);
}
break;
@@ -2968,6 +3063,10 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons
supp = ggml_hexagon_supported_cpy(sess, op);
break;
case GGML_OP_ARGSORT:
supp = ggml_hexagon_supported_argsort(sess, op);
break;
default:
break;
}