#pragma clang diagnostic ignored "-Wunused-variable" #pragma clang diagnostic ignored "-Wunused-function" #pragma clang diagnostic ignored "-Wunused-but-set-variable" #include #include #include #include #include "hex-dma.h" #include "hvx-utils.h" #define GGML_COMMON_DECL_C #include "ggml-common.h" #include "htp-ctx.h" #include "htp-msg.h" #include "htp-ops.h" #define htp_softmax_preamble3 \ const uint32_t ne00 = src0->ne[0]; \ const uint32_t ne01 = src0->ne[1]; \ const uint32_t ne02 = src0->ne[2]; \ const uint32_t ne03 = src0->ne[3]; \ \ const uint32_t nb00 = src0->nb[0]; \ const uint32_t nb01 = src0->nb[1]; \ const uint32_t nb02 = src0->nb[2]; \ const uint32_t nb03 = src0->nb[3]; \ \ const uint32_t ne10 = (src1->ne[0]) ? src1->ne[0] : 1; \ const uint32_t ne11 = (src1->ne[0]) ? src1->ne[1] : 1; \ const uint32_t ne12 = (src1->ne[0]) ? src1->ne[2] : 1; \ const uint32_t ne13 = (src1->ne[0]) ? src1->ne[3] : 1; \ \ const uint32_t nb10 = (src1->ne[0]) ? src1->nb[0] : 1; \ const uint32_t nb11 = (src1->ne[0]) ? src1->nb[1] : 1; \ const uint32_t nb12 = (src1->ne[0]) ? src1->nb[2] : 1; \ const uint32_t nb13 = (src1->ne[0]) ? src1->nb[3] : 1; \ \ const uint32_t ne0 = dst->ne[0]; \ const uint32_t ne1 = dst->ne[1]; \ const uint32_t ne2 = dst->ne[2]; \ const uint32_t ne3 = dst->ne[3]; \ \ const uint32_t nb0 = dst->nb[0]; \ const uint32_t nb1 = dst->nb[1]; \ const uint32_t nb2 = dst->nb[2]; \ const uint32_t nb3 = dst->nb[3]; struct softmax_th_ctx { bool use_f16; bool use_src1; uint32_t n_head; uint32_t n_head_log2; float scale; float max_bias; float m0; float m1; struct htp_ops_context * octx; }; static void init_softmax_ctx(struct softmax_th_ctx * softmax_ctx, struct htp_ops_context * octx) { const struct htp_tensor * src0 = &octx->src0; const struct htp_tensor * src1 = &octx->src1; memset(softmax_ctx, 0, sizeof(struct softmax_th_ctx)); memcpy(&softmax_ctx->scale, (float *) octx->op_params, sizeof(float)); memcpy(&softmax_ctx->max_bias, (float *) octx->op_params + 1, sizeof(float)); softmax_ctx->n_head = src0->ne[2]; softmax_ctx->n_head_log2 = 1u << (uint32_t) floor(log2(softmax_ctx->n_head)); softmax_ctx->m0 = powf(2.0f, -(softmax_ctx->max_bias) / softmax_ctx->n_head_log2); softmax_ctx->m1 = powf(2.0f, -(softmax_ctx->max_bias / 2.0f) / softmax_ctx->n_head_log2); softmax_ctx->use_src1 = (src1->ne[0] != 0); softmax_ctx->use_f16 = (src1->ne[0] != 0) && (src1->type == HTP_TYPE_F16); softmax_ctx->octx = octx; } static void hvx_fast_softmax_prep_f32(const uint8_t * restrict src, uint8_t * restrict dst, const int num_elems, float scale, const uint8_t * restrict mask, float slope) { const uint8_t * restrict src_curr = src; uint8_t * restrict dst_curr = dst; const uint8_t * restrict mask_curr = mask; HVX_Vector scale_vec = hvx_vec_splat_f32(scale); HVX_Vector slope_vec = hvx_vec_splat_f32(slope); int step_of_1 = num_elems >> 5; #pragma unroll(4) for (int i = 0; i < step_of_1; i++) { HVX_Vector v1 = *(HVX_Vector *) src_curr; HVX_Vector v3 = *(HVX_Vector *) mask_curr; HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, scale_vec); HVX_Vector v4 = Q6_Vqf32_vmpy_VsfVsf(v3, slope_vec); HVX_Vector v5 = Q6_Vqf32_vadd_Vqf32Vqf32(v2, v4); *(HVX_Vector *) dst_curr = Q6_Vsf_equals_Vqf32(v5); src_curr += VLEN; dst_curr += VLEN; mask_curr += VLEN; } } static void hvx_fast_softmax_f32(const uint8_t * restrict src, uint8_t * restrict dst, uint8_t * restrict pad, const int num_elems) { const HVX_Vector * restrict v_src = (HVX_Vector *) src; HVX_Vector * restrict v_pad = (HVX_Vector *) pad; HVX_Vector * restrict v_dst = (HVX_Vector *) dst; HVX_Vector sum_vec = Q6_V_vsplat_R(0x00000000); HVX_Vector max_vec = hvx_vec_splat_f32(((const float *) src)[0]); HVX_Vector zero_v = Q6_V_vzero(); HVX_Vector one_v = hvx_vec_splat_f32(1.0); int step_of_1 = num_elems >> 5; #pragma unroll(4) for (int i = 0; i < step_of_1; i++) { HVX_Vector v1 = v_src[i]; max_vec = Q6_Vsf_vmax_VsfVsf(max_vec, v1); } HVX_Vector v = hvx_vec_reduce_max_f32(max_vec); max_vec = hvx_vec_repl4(v); #pragma unroll(4) for (int i = 0; i < step_of_1; i++) { HVX_Vector v1 = v_src[i]; HVX_Vector v2 = Q6_Vqf32_vsub_VsfVsf(v1, max_vec); HVX_Vector v3 = hvx_vec_exp_f32(Q6_Vsf_equals_Vqf32(v2)); sum_vec = Q6_Vqf32_vadd_VsfVsf(Q6_Vsf_equals_Vqf32(sum_vec), v3); v_pad[i] = v3; } v = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_vec)); sum_vec = hvx_vec_repl4(v); HVX_VectorPred pos_sum = Q6_Q_vcmp_gt_VwVw(sum_vec, zero_v); HVX_Vector v4 = hvx_vec_inverse_f32(sum_vec); HVX_Vector scale_vec = Q6_V_vmux_QVV(pos_sum, v4, one_v); #pragma unroll(4) for (int i = 0; i < step_of_1; i++) { HVX_Vector v1 = v_pad[i]; HVX_Vector v2 = Q6_Vqf32_vmpy_VsfVsf(v1, scale_vec); v_dst[i] = Q6_Vsf_equals_Vqf32(v2); } } static float hvx_softmax_f32(const uint8_t * restrict src, uint8_t * restrict dst, uint8_t * restrict spad, const int num_elems, const float max) { hvx_sub_scalar_f32(spad, src, max, num_elems); hvx_exp_f32(spad, dst, num_elems, false); float sum = hvx_reduce_sum_f32(dst, num_elems); return sum; } static void softmax_htp_f32(int nth, int ith, struct softmax_th_ctx * softmax_ctx, int opt_path) { struct htp_ops_context * octx = softmax_ctx->octx; const struct htp_tensor * src0 = &octx->src0; const struct htp_tensor * src1 = &octx->src1; const struct htp_tensor * dst = &octx->dst; htp_softmax_preamble3; uint8_t * src0_spad_data = octx->src0_spad.data + (ith * nb01); uint8_t * src1_spad_data = octx->src1_spad.data + (ith * nb01); uint8_t * dst_spad_data = octx->dst_spad.data + (ith * nb1); float * wp0 = (float *) src0_spad_data; float * wp1 = (float *) src1_spad_data; float * wp2 = (float *) dst_spad_data; for (uint32_t i03 = 0; i03 < ne03; i03++) { for (uint32_t i02 = 0; i02 < ne02; i02++) { for (uint32_t i01 = ith; i01 < ne01; i01 += nth) { const uint32_t i11 = i01; const uint32_t i12 = i02 % ne12; const uint32_t i13 = i03 % ne13; // ALiBi const uint32_t h = i02; // head const float slope = (softmax_ctx->max_bias > 0.0f) ? h < softmax_ctx->n_head_log2 ? powf(softmax_ctx->m0, h + 1) : powf(softmax_ctx->m1, 2 * (h - softmax_ctx->n_head_log2) + 1) : 1.0f; float * sp = (float *) ((char *) octx->src0.data + i01 * nb01 + i02 * nb02 + i03 * nb03); float * dp = (float *) ((char *) octx->dst.data + i01 * nb1 + i02 * nb2 + i03 * nb3); // broadcast the mask across rows __fp16 * mp_f16 = (softmax_ctx->use_src1) ? (__fp16 *) ((char *) octx->src1.data + i11 * nb11 + i12 * nb12 + i13 * nb13) : NULL; float * mp_f32 = (softmax_ctx->use_src1) ? (float *) ((char *) octx->src1.data + i11 * nb11 + i12 * nb12 + i13 * nb13) : NULL; if ((1 == opt_path) && (mp_f32) && !(softmax_ctx->use_f16)) { hvx_fast_softmax_prep_f32((const uint8_t *) sp, (uint8_t *) wp0, ne00, softmax_ctx->scale, (const uint8_t *) mp_f32, slope); } else { hvx_scale_f32((uint8_t *) wp0, (const uint8_t *) sp, ne00, softmax_ctx->scale); if (mp_f32) { if (softmax_ctx->use_f16) { for (int i = 0; i < ne00; ++i) { wp0[i] += slope * (float) mp_f16[i]; } } else { for (int i = 0; i < ne00; ++i) { wp0[i] += slope * mp_f32[i]; } } } } if (1 == opt_path) { hvx_fast_softmax_f32((const uint8_t *) wp0, (uint8_t *) dp, (uint8_t *) wp1, ne00); } else { float max = hvx_reduce_max_f32((const uint8_t *) wp0, ne00); float sum = hvx_softmax_f32((const uint8_t *) wp0, (uint8_t *) wp2, (uint8_t *) wp1, ne00, max); sum = sum > 0.0 ? (1.0 / sum) : 1; hvx_scale_f32((uint8_t *) dp, (const uint8_t *) wp2, ne00, sum); } } } } } static void softmax_job_f32_per_thread(struct softmax_th_ctx * softmax_ctx, int nth, int ith) { struct htp_ops_context * octx = softmax_ctx->octx; const struct htp_tensor * src0 = &octx->src0; const struct htp_tensor * src1 = &octx->src1; struct htp_tensor * dst = &octx->dst; htp_softmax_preamble3; const uint32_t src0_nrows = ne01 * ne02 * ne03; // src0 rows const uint32_t src0_nrows_per_thread = octx->src0_nrows_per_thread; const uint32_t src0_start_row = src0_nrows_per_thread * ith; const uint32_t src0_end_row = MIN(src0_start_row + src0_nrows_per_thread, src0_nrows); // no work for this thread if (src0_start_row >= src0_end_row) { return; } uint64_t t1, t2; t1 = HAP_perf_get_qtimer_count(); int is_aligned = 1; int opt_path = 0; if (!hex_is_aligned((void *) src0->data, VLEN) || !hex_is_aligned((void *) dst->data, VLEN)) { is_aligned = 0; FARF(HIGH, "softmax-f32: unaligned addresses in elementwise op, possibly slower execution\n"); } if ((1 == is_aligned) && !(nb01 & (VLEN - 1))) { opt_path = 1; } softmax_htp_f32(nth, ith, softmax_ctx, opt_path); t2 = HAP_perf_get_qtimer_count(); FARF(HIGH, "softmax-f32 %d/%d/%d/%d: %ux%ux%ux%u (%u:%u) x %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n", ith, nth, softmax_ctx->use_f16, opt_path, ne00, ne01, ne02, ne03, src0_start_row, src0_end_row, ne10, ne11, ne12, ne13, ne0, ne1, ne2, ne3, (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1)); } static void softmax_job_dispatcher_f32(unsigned int n, unsigned int i, void * p_data) { struct softmax_th_ctx * p_softmax_ctx = (struct softmax_th_ctx *) p_data; softmax_job_f32_per_thread(p_softmax_ctx, n, i); } static int execute_op_softmax_f32(struct htp_ops_context * octx) { int err = HTP_STATUS_OK; const struct htp_tensor * src0 = &octx->src0; const struct htp_tensor * src1 = &octx->src1; struct htp_tensor * dst = &octx->dst; worker_callback_t op_func; const char * op_type = NULL; struct softmax_th_ctx softmax_ctx; switch (octx->op) { case HTP_OP_SOFTMAX: op_func = softmax_job_dispatcher_f32; op_type = "softmax-f32"; init_softmax_ctx(&softmax_ctx, octx); break; default: FARF(ERROR, "Unsupported Op %u\n", octx->op); return HTP_STATUS_NO_SUPPORT; } const uint32_t n_threads = octx->n_threads; const size_t src0_row_size = src0->nb[1]; const size_t src1_row_size = src0_row_size; const size_t dst_row_size = dst->nb[1]; // VTCM scratchpads for all tensors // N rows per thread, padded to HVX vector size octx->dst_spad.size = hex_round_up(dst_row_size, 128) * n_threads; octx->src0_spad.size = hex_round_up(src0_row_size, 128) * n_threads; octx->src1_spad.size = hex_round_up(src1_row_size, 128) * n_threads; size_t spad_size = octx->src0_spad.size + octx->src1_spad.size + octx->dst_spad.size; if (src1->ne[0]) { FARF(HIGH, "%s: %ux%ux%ux%u x %ux%ux%ux%u -> %ux%ux%ux%u : src0-spad-size %u src1-spad-size %u dst-spad-size %u\n", op_type, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], octx->src0_spad.size, octx->src1_spad.size, octx->dst_spad.size); } else { FARF(HIGH, "%s: %ux%ux%ux%u -> %ux%ux%ux%u : src0-spad-size %u src1-spad-size %u dst-spad-size %u\n", op_type, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], octx->src0_spad.size, octx->src1_spad.size, octx->dst_spad.size); } // Make sure the reserved vtcm size is sufficient if (octx->ctx->vtcm_size < spad_size) { FARF(ERROR, "%s : current VTCM reservation %zu is too small, needed %zu\n", op_type, octx->ctx->vtcm_size, spad_size); return HTP_STATUS_VTCM_TOO_SMALL; } octx->src0_spad.data = octx->ctx->vtcm_base; octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size; octx->dst_spad.data = octx->src1_spad.data + octx->src1_spad.size; uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3]; if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) { uint32_t n_jobs = MIN(n_threads, src0_nrows); octx->src0_nrows_per_thread = (src0_nrows + n_jobs - 1) / n_jobs; worker_pool_run_func(octx->ctx->worker_pool, op_func, &softmax_ctx, n_jobs); } return err; } int op_softmax(struct htp_ops_context * octx) { int err = HTP_STATUS_OK; switch (octx->src0.type) { case HTP_TYPE_F32: err = execute_op_softmax_f32(octx); break; default: err = HTP_STATUS_NO_SUPPORT; break; } return err; }