hexagon: various Op fixes (#17135)
* hexagon: explicitly check for ops with zero nrows llm_graph_context::build_inp_out_ids() can generate tensors with zero nrows. Somehow other backends seems to handle this without obvious explicit checks. In the hexagon case we need to check explicitly and skip them. * hexagon: introduce fastdiv, fix test-backend-ops for ADD/SUB/MUL Co-authored-by: chraac <chraac@gmail.com> * hexagon: use fastdiv in ADD_ID * hexagon: use ggml_op_is_empty and ggml_is_empty to check for NOPs --------- Co-authored-by: chraac <chraac@gmail.com>
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chraac
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7d019cff74
commit
c273d75375
@@ -34,6 +34,11 @@ static hvx_elemwise_f32_func func_table_HVX[] = { hvx_mul_f32, hvx_add_f32,
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static hvx_elemwise_f32_func func_table_HVX_opt[] = { hvx_mul_f32_opt, hvx_add_f32_opt, hvx_sub_f32_opt };
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#define htp_binary_preamble \
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const struct htp_tensor * src0 = &octx->src0; \
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const struct htp_tensor * src1 = &octx->src1; \
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const struct htp_tensor * src2 = &octx->src2; \
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struct htp_tensor * dst = &octx->dst; \
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\
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const uint32_t ne00 = src0->ne[0]; \
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const uint32_t ne01 = src0->ne[1]; \
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const uint32_t ne02 = src0->ne[2]; \
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@@ -62,16 +67,15 @@ static hvx_elemwise_f32_func func_table_HVX_opt[] = { hvx_mul_f32_opt, hvx_add_f
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const uint32_t nb0 = dst->nb[0]; \
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const uint32_t nb1 = dst->nb[1]; \
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const uint32_t nb2 = dst->nb[2]; \
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const uint32_t nb3 = dst->nb[3];
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const uint32_t nb3 = dst->nb[3]; \
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\
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const uint32_t src0_nrows_per_thread = octx->src0_nrows_per_thread;
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static void binary_job_f32_per_thread(const struct htp_tensor * src0,
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const struct htp_tensor * src1,
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struct htp_tensor * dst,
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uint8_t * spad_data,
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uint32_t nth,
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uint32_t ith,
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uint32_t src0_nrows_per_thread,
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enum htp_op op) {
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static void binary_job_f32_per_thread(struct htp_ops_context * octx,
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uint8_t * spad_data,
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uint32_t nth,
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uint32_t ith,
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enum htp_op op) {
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htp_binary_preamble;
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const size_t src0_row_size = nb01;
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@@ -107,16 +111,23 @@ static void binary_job_f32_per_thread(const struct htp_tensor * src0,
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uint8_t * restrict spad_data_th = spad_data + (ith * src0_row_size);
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const uint32_t nr0 = ne00 / ne10;
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const uint8_t * restrict src0_ptr = (const uint8_t *) src0->data + (src0_start_row * src0_row_size);
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uint8_t * restrict dst_ptr = (uint8_t *) dst->data + (src0_start_row * dst_row_size);
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const uint8_t * restrict data_src1 = (const uint8_t *) src1->data;
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const uint8_t * restrict src1_ptr = NULL;
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const uint32_t ne02_ne01 = ne02 * ne01;
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for (uint32_t ir = src0_start_row; ir < src0_end_row; ir++) {
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src1_ptr = data_src1 + (ir % src1_nrows) * src1_row_size;
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const uint32_t i03 = fastdiv(ir, &octx->src0_div21);
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const uint32_t i02 = fastdiv(ir - i03 * ne02_ne01, &octx->src0_div1);
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const uint32_t i01 = (ir - i03 * ne02_ne01 - i02 * ne01);
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const uint32_t i13 = fastmodulo(i03, ne13, &octx->src1_div3);
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const uint32_t i12 = fastmodulo(i02, ne12, &octx->src1_div2);
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const uint32_t i11 = fastmodulo(i01, ne11, &octx->src1_div1);
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const uint8_t * restrict src1_ptr = data_src1 + i13 * nb13 + i12 * nb12 + i11 * src1_row_size;
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if (ir + 1 < src0_end_row) {
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htp_l2fetch(src0_ptr + ne00, 1, src0_row_size, src0_row_size);
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@@ -125,6 +136,7 @@ static void binary_job_f32_per_thread(const struct htp_tensor * src0,
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}
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}
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const uint32_t nr0 = ne00 / ne10;
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if (nr0 > 1) {
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if ((1 == is_aligned) && (nr0 == ne00)) {
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hvx_bcast_fp32_a(spad_data_th, *(float *) src1_ptr, nr0);
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@@ -149,22 +161,17 @@ static void binary_job_f32_per_thread(const struct htp_tensor * src0,
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(unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
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}
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static void binary_add_id_job_f32_per_thread(const struct htp_tensor * src0,
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const struct htp_tensor * src1,
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const struct htp_tensor * src2,
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struct htp_tensor * dst,
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uint8_t * spad_data,
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uint32_t nth,
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uint32_t ith,
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uint32_t src0_nrows_per_thread,
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hvx_elemwise_f32_func func_HVX) {
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static void binary_add_id_job_f32_per_thread(struct htp_ops_context * octx,
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uint8_t * spad_data,
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uint32_t nth,
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uint32_t ith,
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hvx_elemwise_f32_func func_HVX) {
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htp_binary_preamble;
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const size_t src0_row_size = nb01;
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const size_t src1_row_size = nb11;
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const size_t dst_row_size = nb1;
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const uint32_t ne02_ne01 = ne02 * ne01;
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const uint32_t src0_nrows = ne01 * ne02 * ne03; // src0 rows
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const uint32_t src0_start_row = src0_nrows_per_thread * ith;
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@@ -187,10 +194,11 @@ static void binary_add_id_job_f32_per_thread(const struct htp_tensor * src0,
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const uint8_t * restrict data_src1 = (const uint8_t *) src1->data;
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uint8_t * restrict data_dst = (uint8_t *) dst->data;
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const uint32_t ne02_ne01 = ne02 * ne01;
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for (uint32_t ir = src0_start_row; ir < src0_end_row; ir++) {
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// src0 indices
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const uint32_t i03 = ir / ne02_ne01;
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const uint32_t i02 = (ir - i03 * ne02_ne01) / ne01;
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const uint32_t i03 = fastdiv(ir, &octx->src0_div21);
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const uint32_t i02 = fastdiv(ir - i03 * ne02_ne01, &octx->src0_div1);
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const uint32_t i01 = (ir - i03 * ne02_ne01 - i02 * ne01);
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// src1 indices
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@@ -234,13 +242,11 @@ static void binary_job_dispatcher_f32(unsigned int n, unsigned int i, void * dat
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case HTP_OP_MUL:
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case HTP_OP_ADD:
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case HTP_OP_SUB:
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binary_job_f32_per_thread(&octx->src0, &octx->src1, &octx->dst, octx->src1_spad.data, n, i,
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octx->src0_nrows_per_thread, octx->op);
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binary_job_f32_per_thread(octx, octx->src1_spad.data, n, i, octx->op);
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break;
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case HTP_OP_ADD_ID:
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binary_add_id_job_f32_per_thread(&octx->src0, &octx->src1, &octx->src2, &octx->dst, octx->src0_spad.data, n,
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i, octx->src0_nrows_per_thread, hvx_add_f32);
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binary_add_id_job_f32_per_thread(octx, octx->src0_spad.data, n, i, hvx_add_f32);
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break;
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default:
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@@ -321,6 +327,16 @@ static int execute_op_binary_f32(struct htp_ops_context * octx) {
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octx->src0_nrows_per_thread = (src0_nrows + n_jobs - 1) / n_jobs;
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octx->src0_div21 = init_fastdiv_values(src0->ne[2] * src0->ne[1]);
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octx->src0_div3 = init_fastdiv_values(src0->ne[3]);
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octx->src0_div2 = init_fastdiv_values(src0->ne[2]);
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octx->src0_div1 = init_fastdiv_values(src0->ne[1]);
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octx->src1_div21 = init_fastdiv_values(src1->ne[2] * src1->ne[1]);
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octx->src1_div3 = init_fastdiv_values(src1->ne[3]);
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octx->src1_div2 = init_fastdiv_values(src1->ne[2]);
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octx->src1_div1 = init_fastdiv_values(src1->ne[1]);
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worker_pool_run_func(octx->ctx->worker_pool, binary_op_func, octx, n_jobs);
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}
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