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