#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 #include "hex-dma.h" #include "hvx-utils.h" #include "hex-fastdiv.h" #define GGML_COMMON_DECL_C #include "ggml-common.h" #include "htp-ctx.h" #include "htp-ops.h" #include "htp-ops.h" // Redefined the rope type constants as we can't include ggml.h #define HTP_ROPE_TYPE_NORMAL 0 #define HTP_ROPE_TYPE_NEOX 2 #define HTP_ROPE_TYPE_MROPE 8 #define HTP_ROPE_TYPE_IMROPE 40 #define HTP_ROPE_SPAD_NROWS 16 #define HTP_ROPE_SPAD_BLOCK (HTP_ROPE_SPAD_NROWS/2) #define htp_rope_preamble \ 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 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 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 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 htp_rope_context { int32_t n_dims; int32_t mode; int32_t n_ctx_orig; int32_t sections[4]; float freq_base; float freq_scale; float ext_factor; float attn_factor; float beta_fast; float beta_slow; float theta_scale; float corr_dims[2]; uint32_t src0_nrows_per_thread; size_t spad_stride; struct htp_ops_context * octx; size_t src0_row_size; size_t dst_row_size; size_t src0_row_size_aligned; size_t dst_row_size_aligned; size_t theta_cache_offset; uint32_t src0_nrows; struct fastdiv_values div_ne2_ne1; struct fastdiv_values div_ne1; uint64_t t_start; }; static float rope_yarn_ramp(const float low, const float high, const int i0) { const float y = (i0 / 2 - low) / MAX(0.001f, high - low); return (1 - MIN(1, MAX(0, y))); } // Compute one (cos, sin) pair into cache[i0], cache[i0+1] applying YaRN scaling. static inline void rope_yarn_one(float theta, float freq_scale, float * corr_dims, uint32_t i0, float ext_factor, float mscale, float * cache) { float theta_extrap = theta; // Get n-d rotational scaling corrected for extrapolation float theta_interp = freq_scale * theta_extrap; float theta_final = theta_interp; float mscale_final = mscale; if (ext_factor != 0.0f) { float ramp_mix = rope_yarn_ramp(corr_dims[0], corr_dims[1], i0) * ext_factor; theta_final = theta_interp * (1 - ramp_mix) + theta_extrap * ramp_mix; // Get n-d magnitude scaling corrected for interpolation mscale_final *= 1.0f + 0.1f * logf(1.0f / freq_scale); } cache[i0 + 0] = cosf(theta_final) * mscale_final; cache[i0 + 1] = sinf(theta_final) * mscale_final; } static __attribute__((noinline)) void rope_cache_init(const float theta_base, const float freq_scale, const float * freq_factors, float * corr_dims, const uint32_t ne0, const float ext_factor, const float mscale, float * cache, const float theta_scale) { // ref: https://github.com/jquesnelle/yarn/blob/master/scaled_rope/LlamaYaRNScaledRotaryEmbedding.py #if __HVX_ARCH__ >= 79 const bool is_v79_or_newer = true; #else const bool is_v79_or_newer = false; #endif if (is_v79_or_newer && ext_factor == 0.0f) { // Fast path: fully vectorized // We process 32 pairs (64 elements) per iteration. const uint32_t n_blocks = ne0 / 64; // Initialize theta scale powers: [1.0f, theta_scale, theta_scale^2, ..., theta_scale^31] float __attribute__((aligned(128))) theta_powers[32]; theta_powers[0] = 1.0f; for (int j = 1; j < 32; j++) { theta_powers[j] = theta_powers[j - 1] * theta_scale; } HVX_Vector v_theta_powers = hvx_vmem(theta_powers); HVX_Vector v_freq_scale = hvx_vec_splat_f32(freq_scale); HVX_Vector v_mscale = hvx_vec_splat_f32(mscale); // Base theta starts at theta_base float theta_block = theta_base; // The scale factor for the next block is theta_scale^32 float theta_scale_32 = 1.0f; for (int j = 0; j < 32; j++) { theta_scale_32 *= theta_scale; } for (uint32_t b = 0; b < n_blocks; b++) { uint32_t i0 = b * 64; HVX_Vector v_theta_base = hvx_vec_splat_f32(theta_block); HVX_Vector v_theta = hvx_vec_mul_f32_f32(v_theta_base, v_theta_powers); if (freq_factors) { // Load 32 elements of freq_factors HVX_Vector v_ff = hvx_vmemu(freq_factors + i0 / 2); HVX_Vector v_inv_ff = hvx_vec_inverse_f32(v_ff); v_theta = hvx_vec_mul_f32_f32(v_theta, v_inv_ff); } HVX_Vector v_theta_final = hvx_vec_mul_f32_f32(v_theta, v_freq_scale); HVX_Vector vcos = hvx_vec_cos_f32(v_theta_final); HVX_Vector vsin = hvx_vec_sin_f32(v_theta_final); vcos = hvx_vec_mul_f32_f32(vcos, v_mscale); vsin = hvx_vec_mul_f32_f32(vsin, v_mscale); HVX_VectorPair vstore = Q6_W_vshuff_VVR(vsin, vcos, -4); if (((uintptr_t)cache) % 128 == 0) { hvx_vmem(cache + i0 + 0) = Q6_V_lo_W(vstore); hvx_vmem(cache + i0 + 32) = Q6_V_hi_W(vstore); } else { hvx_vec_store_u(cache + i0 + 0, 32 * sizeof(float), Q6_V_lo_W(vstore)); hvx_vec_store_u(cache + i0 + 32, 32 * sizeof(float), Q6_V_hi_W(vstore)); } theta_block *= theta_scale_32; } // Leftovers float theta = theta_block; for (uint32_t i0 = n_blocks * 64; i0 < ne0; i0 += 2) { const float ff = freq_factors ? freq_factors[i0 / 2] : 1.0f; rope_yarn_one(theta / ff, freq_scale, corr_dims, i0, ext_factor, mscale, cache); theta *= theta_scale; } } else { // Fallback to original scalar loop float theta = theta_base; for (uint32_t i0 = 0; i0 < ne0; i0 += 2) { const float ff = freq_factors ? freq_factors[i0 / 2] : 1.0f; rope_yarn_one(theta / ff, freq_scale, corr_dims, i0, ext_factor, mscale, cache); theta *= theta_scale; } } } // pos_t/h/w/e: the four position ids for this sequence step (t=time, h=height, w=width, e=extra). // sections[4]: number of head dims assigned to each position component. static __attribute__((noinline)) void mrope_cache_init(const float pos_t, const float pos_h, const float pos_w, const float pos_e, const int32_t sections[4], const bool is_imrope, const float freq_scale, const float * freq_factors, float * corr_dims, const uint32_t ne0, const float ext_factor, const float mscale, float * cache, const float theta_scale) { const int sect_dims = sections[0] + sections[1] + sections[2] + sections[3]; const int sec_w = sections[0] + sections[1]; const int sec_e = sec_w + sections[2]; float theta_t = pos_t; float theta_h = pos_h; float theta_w = pos_w; float theta_e = pos_e; for (uint32_t i0 = 0; i0 < ne0; i0 += 2) { const float ff = freq_factors ? freq_factors[i0 / 2] : 1.0f; const int sector = (i0 / 2) % sect_dims; float theta; if (is_imrope) { // Interleaved: sector mod 3 selects component if (sector % 3 == 0 && sector < 3 * sections[0]) { theta = theta_t; } else if (sector % 3 == 1 && sector < 3 * sections[1]) { theta = theta_h; } else if (sector % 3 == 2 && sector < 3 * sections[2]) { theta = theta_w; } else { theta = theta_e; } } else { // Contiguous sections if (sector < sections[0]) { theta = theta_t; } else if (sector < sec_w) { theta = theta_h; } else if (sector < sec_e) { theta = theta_w; } else { theta = theta_e; } } rope_yarn_one(theta / ff, freq_scale, corr_dims, i0, ext_factor, mscale, cache); theta_t *= theta_scale; theta_h *= theta_scale; theta_w *= theta_scale; theta_e *= theta_scale; } } #define M_PI 3.1415926535897932384626433 static void rope_corr_dims(int n_dims, int n_ctx_orig, float freq_base, float beta_fast, float beta_slow, float * dims) { float start = floorf(n_dims * logf(n_ctx_orig / (beta_fast * 2 * (float) M_PI)) / (2 * logf(freq_base))); float end = ceilf(n_dims * logf(n_ctx_orig / (beta_slow * 2 * (float) M_PI)) / (2 * logf(freq_base))); dims[0] = MAX(0, start); dims[1] = MIN(n_dims - 1, end); } static inline void hvx_rope_neox_f32_aa(float * restrict dst, const float * restrict src0, uint32_t ne, const float * restrict theta_cache) { const uint32_t he = ne / 2; const uint32_t nvec = he / 32; const uint32_t nloe = he % 32; for (uint32_t i = 0; i < nvec; i++) { HVX_Vector v0 = ((const HVX_Vector *) src0)[i]; HVX_Vector v1 = hvx_vmemu(src0 + he + i * 32); HVX_Vector v2 = ((const HVX_Vector *) theta_cache)[i * 2 + 0]; HVX_Vector v3 = ((const HVX_Vector *) theta_cache)[i * 2 + 1]; HVX_VectorPair vcos_sin = Q6_W_vdeal_VVR(v3, v2, -4); HVX_Vector vx0_c = Q6_Vqf32_vmpy_VsfVsf(v0, Q6_V_lo_W(vcos_sin)); HVX_Vector vx0_s = Q6_Vqf32_vmpy_VsfVsf(v0, Q6_V_hi_W(vcos_sin)); HVX_Vector vx1_c = Q6_Vqf32_vmpy_VsfVsf(v1, Q6_V_lo_W(vcos_sin)); HVX_Vector vx1_s = Q6_Vqf32_vmpy_VsfVsf(v1, Q6_V_hi_W(vcos_sin)); HVX_Vector v4 = Q6_Vqf32_vsub_Vqf32Vqf32(vx0_c, vx1_s); HVX_Vector v5 = Q6_Vqf32_vadd_Vqf32Vqf32(vx0_s, vx1_c); ((HVX_Vector *) dst)[i] = Q6_Vsf_equals_Vqf32(v4); hvx_vmemu(dst + he + i * 32) = Q6_Vsf_equals_Vqf32(v5); } if (nloe > 0) { HVX_Vector v0 = hvx_vmemu(src0 + nvec * 32); HVX_Vector v1 = hvx_vmemu(src0 + he + nvec * 32); HVX_Vector v2 = ((const HVX_Vector *) theta_cache)[nvec * 2 + 0]; HVX_Vector v3 = ((const HVX_Vector *) theta_cache)[nvec * 2 + 1]; HVX_VectorPair vcos_sin = Q6_W_vdeal_VVR(v3, v2, -4); HVX_Vector vx0_c = Q6_Vqf32_vmpy_VsfVsf(v0, Q6_V_lo_W(vcos_sin)); HVX_Vector vx0_s = Q6_Vqf32_vmpy_VsfVsf(v0, Q6_V_hi_W(vcos_sin)); HVX_Vector vx1_c = Q6_Vqf32_vmpy_VsfVsf(v1, Q6_V_lo_W(vcos_sin)); HVX_Vector vx1_s = Q6_Vqf32_vmpy_VsfVsf(v1, Q6_V_hi_W(vcos_sin)); HVX_Vector v4 = Q6_Vqf32_vsub_Vqf32Vqf32(vx0_c, vx1_s); HVX_Vector v5 = Q6_Vqf32_vadd_Vqf32Vqf32(vx0_s, vx1_c); hvx_vec_store_u(dst + nvec * 32, nloe * sizeof(float), Q6_Vsf_equals_Vqf32(v4)); hvx_vec_store_u(dst + he + nvec * 32, nloe * sizeof(float), Q6_Vsf_equals_Vqf32(v5)); } } static inline void hvx_rope_f32_aa(float * restrict dst, const float * restrict src0, uint32_t ne, const float * restrict theta_cache) { const uint32_t nvec = ne / 64; const uint32_t nloe = ne % 64; for (uint32_t i = 0; i < nvec; i++) { HVX_Vector v0 = ((const HVX_Vector *) src0)[i * 2 + 0]; HVX_Vector v1 = ((const HVX_Vector *) src0)[i * 2 + 1]; HVX_Vector v2 = ((const HVX_Vector *) theta_cache)[i * 2 + 0]; HVX_Vector v3 = ((const HVX_Vector *) theta_cache)[i * 2 + 1]; HVX_VectorPair vx0_x1 = Q6_W_vdeal_VVR(v1, v0, -4); HVX_VectorPair vcos_sin = Q6_W_vdeal_VVR(v3, v2, -4); HVX_Vector vx0_c = Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(vx0_x1), Q6_V_lo_W(vcos_sin)); HVX_Vector vx0_s = Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(vx0_x1), Q6_V_hi_W(vcos_sin)); HVX_Vector vx1_c = Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(vx0_x1), Q6_V_lo_W(vcos_sin)); HVX_Vector vx1_s = Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(vx0_x1), Q6_V_hi_W(vcos_sin)); HVX_Vector v4 = Q6_Vqf32_vsub_Vqf32Vqf32(vx0_c, vx1_s); HVX_Vector v5 = Q6_Vqf32_vadd_Vqf32Vqf32(vx0_s, vx1_c); HVX_VectorPair vstore = Q6_W_vshuff_VVR(Q6_Vsf_equals_Vqf32(v5), Q6_Vsf_equals_Vqf32(v4), -4); ((HVX_Vector *) dst)[i * 2 + 0] = Q6_V_lo_W(vstore); ((HVX_Vector *) dst)[i * 2 + 1] = Q6_V_hi_W(vstore); } if (nloe > 0) { if (nloe <= 32) { HVX_Vector v0 = hvx_vmemu(src0 + nvec * 64); HVX_Vector v2 = hvx_vmemu(theta_cache + nvec * 64); HVX_VectorPair vx0_x1 = Q6_W_vdeal_VVR(Q6_V_vzero(), v0, -4); HVX_VectorPair vcos_sin = Q6_W_vdeal_VVR(Q6_V_vzero(), v2, -4); HVX_Vector vx0_c = Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(vx0_x1), Q6_V_lo_W(vcos_sin)); HVX_Vector vx0_s = Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(vx0_x1), Q6_V_hi_W(vcos_sin)); HVX_Vector vx1_c = Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(vx0_x1), Q6_V_lo_W(vcos_sin)); HVX_Vector vx1_s = Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(vx0_x1), Q6_V_hi_W(vcos_sin)); HVX_Vector v4 = Q6_Vqf32_vsub_Vqf32Vqf32(vx0_c, vx1_s); HVX_Vector v5 = Q6_Vqf32_vadd_Vqf32Vqf32(vx0_s, vx1_c); HVX_VectorPair vstore = Q6_W_vshuff_VVR(Q6_Vsf_equals_Vqf32(v5), Q6_Vsf_equals_Vqf32(v4), -4); hvx_vec_store_u(dst + nvec * 64, nloe * sizeof(float), Q6_V_lo_W(vstore)); } else { HVX_Vector v0 = hvx_vmemu(src0 + nvec * 64); HVX_Vector v1 = hvx_vmemu(src0 + nvec * 64 + 32); HVX_Vector v2 = hvx_vmemu(theta_cache + nvec * 64); HVX_Vector v3 = hvx_vmemu(theta_cache + nvec * 64 + 32); HVX_VectorPair vx0_x1 = Q6_W_vdeal_VVR(v1, v0, -4); HVX_VectorPair vcos_sin = Q6_W_vdeal_VVR(v3, v2, -4); HVX_Vector vx0_c = Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(vx0_x1), Q6_V_lo_W(vcos_sin)); HVX_Vector vx0_s = Q6_Vqf32_vmpy_VsfVsf(Q6_V_lo_W(vx0_x1), Q6_V_hi_W(vcos_sin)); HVX_Vector vx1_c = Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(vx0_x1), Q6_V_lo_W(vcos_sin)); HVX_Vector vx1_s = Q6_Vqf32_vmpy_VsfVsf(Q6_V_hi_W(vx0_x1), Q6_V_hi_W(vcos_sin)); HVX_Vector v4 = Q6_Vqf32_vsub_Vqf32Vqf32(vx0_c, vx1_s); HVX_Vector v5 = Q6_Vqf32_vadd_Vqf32Vqf32(vx0_s, vx1_c); HVX_VectorPair vstore = Q6_W_vshuff_VVR(Q6_Vsf_equals_Vqf32(v5), Q6_Vsf_equals_Vqf32(v4), -4); ((HVX_Vector *) dst)[nvec * 2 + 0] = Q6_V_lo_W(vstore); hvx_vec_store_u(dst + nvec * 64 + 32, (nloe - 32) * sizeof(float), Q6_V_hi_W(vstore)); } } } static void inline rope_basic_f32(struct htp_rope_context * rctx, uint8_t * restrict dst, uint8_t * restrict src, uint32_t nr, uint32_t ne0, const float * restrict theta_cache) { #pragma unroll(4) for (uint32_t i = 0; i < nr; i++) { float * d = (float *) (dst + i * rctx->dst_row_size_aligned); float * s = (float *) (src + i * rctx->src0_row_size_aligned); hvx_rope_f32_aa(d, s, rctx->n_dims, theta_cache); // fill the remain channels with data from src tensor if (rctx->n_dims < ne0) { hvx_copy_f32_uu((uint8_t *)(d + rctx->n_dims), (uint8_t *)(s + rctx->n_dims), ne0 - rctx->n_dims); } } } static void inline rope_neox_f32(struct htp_rope_context * rctx, uint8_t * restrict dst, uint8_t * restrict src, uint32_t nr, uint32_t ne0, const float * restrict theta_cache) { #pragma unroll(4) for (uint32_t i = 0; i < nr; i++) { float * d = (float *) (dst + i * rctx->dst_row_size_aligned); float * s = (float *) (src + i * rctx->src0_row_size_aligned); hvx_rope_neox_f32_aa(d, s, rctx->n_dims, theta_cache); // fill the remain channels with data from src tensor if (rctx->n_dims < ne0) { hvx_copy_f32_uu((uint8_t *)(d + rctx->n_dims), (uint8_t *)(s + rctx->n_dims), ne0 - rctx->n_dims); } } } static void rope_job_f32(unsigned int nth, unsigned int ith, void * data) { struct htp_rope_context * rctx = (struct htp_rope_context *) data; struct htp_ops_context * octx = rctx->octx; const struct htp_tensor * src0 = octx->src[0]; const struct htp_tensor * src1 = octx->src[1]; const struct htp_tensor * src2 = octx->src[2]; const struct htp_tensor * dst = octx->dst; htp_rope_preamble; const uint32_t src0_nrows = rctx->src0_nrows; const uint32_t src0_nrows_per_thread = rctx->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 tt = HAP_perf_get_qtimer_count(); const int32_t mode = rctx->mode; // MROPE and IMROPE use NEOX-style pairing for the rotation const bool is_neox = (mode & HTP_ROPE_TYPE_NEOX) || (mode & HTP_ROPE_TYPE_MROPE); // VTCM setup uint8_t * src0_spad_base = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread); float * theta_cache = (float *) (src0_spad_base); src0_spad_base = src0_spad_base + rctx->theta_cache_offset; uint8_t * dst_spad_base = octx->dst_spad.data + (ith * octx->dst_spad.size_per_thread); dma_queue * dma_queue = octx->ctx->dma[ith]; const int32_t * pos = (const int32_t *) src1->data; const float * freq_factors = src2 ? (const float *) src2->data : NULL; const uint32_t i3_start = fastdiv(src0_start_row, &rctx->div_ne2_ne1); const uint32_t rem = fastmodulo(src0_start_row, ne2 * ne1, &rctx->div_ne2_ne1); const uint32_t i2_start = fastdiv(rem, &rctx->div_ne1); const uint32_t i1_start = fastmodulo(rem, ne1, &rctx->div_ne1); uint32_t ir = src0_start_row; uint32_t prev_i2 = (uint32_t) -1; for (uint32_t i3 = i3_start; i3 < ne3; i3++) { // batch const uint32_t i2_init = (i3 == i3_start) ? i2_start : 0; for (uint32_t i2 = i2_init; i2 < ne2; i2++) { // seq-len const uint32_t i1_init = (i3 == i3_start && i2 == i2_start) ? i1_start : 0; for (uint32_t i1 = i1_init; i1 < ne1; ) { // attn-heads if (ir >= src0_end_row) goto done; // Rows in this block const uint32_t nrows = MIN(src0_end_row - ir, ne1 - i1); // Depth before prefetch uint32_t dma_depth = dma_queue_depth(dma_queue); // FARF(HIGH, "rope-block %u: ir %u n-rows %u dma-depth %u : usec %u", ith, ir, nrows, dma_depth, // (unsigned) HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - rctx->t_start)); // Prefetch loop for (uint32_t pnr = 0, pr = 0; pr < nrows && pr < HTP_ROPE_SPAD_NROWS; pr += pnr) { pnr = MIN(nrows - pr, HTP_ROPE_SPAD_BLOCK); uint32_t pi1 = i1 + pr; uint32_t pir = ir + pr; // Dummy DMA transaction for sequencing (interleaving dst,src,dst,...) dma_queue_push_vtcm_to_ddr(dma_queue, dma_make_ptr((void *) dst->data, dst_spad_base + pr * rctx->dst_row_size_aligned), 0, 0, 0); const uint8_t * src_addr = (const uint8_t *) src0->data + i3 * nb03 + i2 * nb02 + pi1 * nb01; uint8_t * src_spad = src0_spad_base + pr * rctx->src0_row_size_aligned; dma_queue_push_ddr_to_vtcm(dma_queue, dma_make_ptr(src_spad, src_addr), rctx->src0_row_size_aligned, rctx->src0_row_size, pnr); // FARF(HIGH, "rope-prefetch %u: pr %u i1 %u i2 %u i3 %u src-spad %p src-addr %p pnr %u", ith, pir, pi1, i2, i3, src_spad, src_addr, pnr); } // Update theta cache if (i2 != prev_i2) { prev_i2 = i2; const bool is_mrope = (rctx->mode & HTP_ROPE_TYPE_MROPE) != 0; if (is_mrope) { // src1 holds four position arrays stacked along ne0: // pos[i2], pos[i2+ne2], pos[i2+ne2*2], pos[i2+ne2*3] const bool is_imrope = (rctx->mode == HTP_ROPE_TYPE_IMROPE); mrope_cache_init( (float) pos[i2], (float) pos[i2 + ne2], (float) pos[i2 + ne2 * 2], (float) pos[i2 + ne2 * 3], rctx->sections, is_imrope, rctx->freq_scale, freq_factors, rctx->corr_dims, ne0, rctx->ext_factor, rctx->attn_factor, theta_cache, rctx->theta_scale); } else { rope_cache_init(pos[i2], rctx->freq_scale, freq_factors, rctx->corr_dims, ne0, rctx->ext_factor, rctx->attn_factor, theta_cache, rctx->theta_scale); } } // Skip output DMA transactions from prev block (if any) // No need to wait for those here since we're explicitly waiting for the latest prefecthes below. for (uint32_t d=0; d < dma_depth; d++) { dma_queue_pop_nowait(dma_queue); } // Compute loop for (uint32_t cnr = 0, cr = 0; cr < nrows; cr += cnr, ir += cnr, i1 += cnr) { // Number of rows to compute cnr = MIN(nrows - cr, HTP_ROPE_SPAD_BLOCK); uint8_t * dst_spad = (uint8_t *) dma_queue_pop(dma_queue).src; uint8_t * src_spad = (uint8_t *) dma_queue_pop(dma_queue).dst; // FARF(HIGH, "rope-compute %u: ir %u i1 %u i2 %u i3 %u src-spad %p cnr %u : usec %u", ith, ir, i1, i2, i3, src_spad, cnr, // (unsigned) HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - rctx->t_start)); if (is_neox) { rope_neox_f32(rctx, dst_spad, src_spad, cnr, ne0, theta_cache); } else { rope_basic_f32(rctx, dst_spad, src_spad, cnr, ne0, theta_cache); } uint8_t * dst_addr = (uint8_t *) dst->data + i3 * nb3 + i2 * nb2 + i1 * nb1; dma_queue_push_vtcm_to_ddr(dma_queue, dma_make_ptr(dst_addr, dst_spad), rctx->dst_row_size, rctx->dst_row_size_aligned, cnr); // Prefetch more rows (if any) if ((cr + HTP_ROPE_SPAD_NROWS) < nrows) { uint32_t pnr = MIN(nrows - (cr + HTP_ROPE_SPAD_NROWS), HTP_ROPE_SPAD_BLOCK); uint32_t pi1 = i1 + HTP_ROPE_SPAD_NROWS; uint32_t pir = ir + HTP_ROPE_SPAD_NROWS; const uint8_t * src_addr = (const uint8_t *) src0->data + i3 * nb03 + i2 * nb02 + pi1 * nb01; dma_queue_push_ddr_to_vtcm(dma_queue, dma_make_ptr(src_spad, src_addr), rctx->src0_row_size_aligned, rctx->src0_row_size, pnr); // FARF(HIGH, "rope-prefetch %u: pr %u i1 %u i2 %u i3 %u src-spad %p src-addr %p pnr %u", ith, pir, pi1, i2, i3, src_spad, src_addr, pnr); } } } } } done: dma_queue_flush(dma_queue); tt = HAP_perf_get_qtimer_count() - tt; FARF(HIGH, "rope-f32: %d/%d: (%u:%u) usec %u\n", ith, nth, src0_start_row, src0_end_row, (unsigned) HAP_perf_qtimer_count_to_us(tt)); } static int execute_op_rope_f32(struct htp_ops_context * octx) { int err = HTP_STATUS_OK; const struct htp_tensor * src0 = octx->src[0]; const struct htp_tensor * src1 = octx->src[1]; const struct htp_tensor * src2 = octx->src[2]; const struct htp_tensor * dst = octx->dst; const char * op_type = "rope-f32"; switch (octx->op) { case HTP_OP_ROPE: break; default: FARF(ERROR, "Unsupported Op %u\n", octx->op); return HTP_STATUS_NO_SUPPORT; } const uint32_t ne0 = dst->ne[0]; const uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3]; const uint32_t n_threads = MIN(octx->n_threads, src0_nrows); const size_t src0_row_size = src0->nb[1]; const size_t dst_row_size = dst->nb[1]; // Aligned row sizes for VTCM const size_t src0_row_size_aligned = hex_round_up(src0_row_size, VLEN); const size_t dst_row_size_aligned = hex_round_up(dst_row_size, VLEN); const size_t theta_cache_size_aligned = hex_round_up(src0->ne[0] * sizeof(float), 256); // Calculate spad sizes per thread size_t src0_spad_per_thread = theta_cache_size_aligned + HTP_ROPE_SPAD_NROWS * src0_row_size_aligned; size_t dst_spad_per_thread = HTP_ROPE_SPAD_NROWS * dst_row_size_aligned; size_t spad_per_thread = src0_spad_per_thread + dst_spad_per_thread; // Check if we fit in VTCM size_t total_vtcm_needed = spad_per_thread * n_threads; if (octx->ctx->vtcm_size < total_vtcm_needed) { FARF(ERROR, "%s : current VTCM reservation %zu is too small, needed %zu\n", op_type, octx->ctx->vtcm_size, total_vtcm_needed); return HTP_STATUS_VTCM_TOO_SMALL; } octx->src0_spad.size_per_thread = src0_spad_per_thread; octx->dst_spad.size_per_thread = dst_spad_per_thread; octx->src0_spad.size = n_threads * src0_spad_per_thread; octx->dst_spad.size = n_threads * dst_spad_per_thread; octx->src1_spad.size = 0; octx->src0_spad.data = octx->ctx->vtcm_base; octx->src0_spad.src = NULL; octx->src1_spad.data = NULL; octx->src1_spad.src = NULL; octx->dst_spad.data = octx->src0_spad.data + octx->src0_spad.size; octx->dst_spad.src = NULL; struct htp_rope_context rctx; memset(&rctx, 0, sizeof(struct htp_rope_context)); rctx.t_start = HAP_perf_get_qtimer_count(); rctx.octx = octx; const int32_t * op_params = &octx->op_params[0]; rctx.n_dims = ((const int32_t *) op_params)[1]; rctx.mode = ((const int32_t *) op_params)[2]; rctx.n_ctx_orig = ((const int32_t *) op_params)[4]; memcpy(&rctx.freq_base, (int32_t *) op_params + 5, sizeof(float)); memcpy(&rctx.freq_scale, (int32_t *) op_params + 6, sizeof(float)); memcpy(&rctx.ext_factor, (int32_t *) op_params + 7, sizeof(float)); memcpy(&rctx.attn_factor, (int32_t *) op_params + 8, sizeof(float)); memcpy(&rctx.beta_fast, (int32_t *) op_params + 9, sizeof(float)); memcpy(&rctx.beta_slow, (int32_t *) op_params + 10, sizeof(float)); memcpy(&rctx.sections, (int32_t *) op_params + 11, sizeof(int) * 4); rctx.theta_scale = powf(rctx.freq_base, -2.0f / rctx.n_dims); rope_corr_dims(rctx.n_dims, rctx.n_ctx_orig, rctx.freq_base, rctx.beta_fast, rctx.beta_slow, rctx.corr_dims); rctx.src0_row_size = src0_row_size; rctx.dst_row_size = dst_row_size; rctx.src0_row_size_aligned = src0_row_size_aligned; rctx.dst_row_size_aligned = dst_row_size_aligned; rctx.theta_cache_offset = theta_cache_size_aligned; rctx.src0_nrows = src0_nrows; rctx.src0_nrows_per_thread = (src0_nrows + n_threads - 1) / n_threads; if (src0_nrows > 0) { rctx.div_ne2_ne1 = init_fastdiv_values(dst->ne[2] * dst->ne[1]); rctx.div_ne1 = init_fastdiv_values(dst->ne[1]); } FARF(HIGH, "rope-f32 n-rows %u n-dims %d ne0 %u ext-factor %.6f theta-scale %.6f attn-factor %.6f\n", rctx.src0_nrows, rctx.n_dims, ne0, rctx.ext_factor, rctx.theta_scale, rctx.attn_factor); if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) { worker_pool_run_func(octx->ctx->worker_pool, rope_job_f32, &rctx, n_threads); } return err; } int op_rope(struct htp_ops_context * octx) { int err = HTP_STATUS_OK; switch (octx->src[0]->type) { case HTP_TYPE_F32: err = execute_op_rope_f32(octx); break; default: err = HTP_STATUS_NO_SUPPORT; break; } return err; }