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H/ qH L pLMLlLHCHSHK I~H9E!H9UH9M  I9D$eI9T$ZI9L$ OI9A$I9QI9I I9GI9WI9O IIvLHIv LIv(LI9)HоHLHT$HT$HHD$fHnfl)D$ EHL$@PTHHHLLLLH8[]A\A]A^A_H H1H=H H1H=H H1H=H H1H=H HH=H H1H=H HH=H HH=H HH=H HH=H HH=H HH=ff.USHHHHH)HHHHH9Kt0H@H9C0t&H H1H=DHSE11hT@PWHH[]f.USHHHH)HHHHH9Nt3H@H9F0t)H H1H=HhT@PWHH[]AUIATMUSHH(t~>3HSE112L,$l$fo$L`d@PXH@TH([]A\A] ff.@AVIAUMATAUHSH t~suHUHE1HH5HH1oE@oM0HL4$C@Dd$fo$LkdCPXHK0CTH []A\A]A^g AVIAUMATIUDSHH AtE~G3HSE11L4$l$fo$Lhd@PYHL@TH []A\A]A^ ff.AWIAVMAUIATEUHSH(AtE~|uHUHE1HH5HH1oE@oM0HL<$C@Dd$fo$LsdCPYHLK0CTH([]A\A]A^A_g AVMAUIATIUDSHH AtE~S3HSE11L4$HT$Pl$fo$HPd@PZHLL@TH []A\A]A^ fAWMAVIAUIATEUHSH(At EuHUHE1bHH5HH1oE@oM0L<$Dd$HD$`C@fo$HCdHCPZHLLK0CTH([]A\A]A^A_WATUSH \$HHl$@Ld$` H$HHL$1LD$E1LL$HT$PLd$L`dH$T$X@P[T$fo$@T~vSv{HHUH9oEoEtoE u oE0ڃtHcHLHИH []A\@HUHtHUHuHUHtHUHtHU HtHU(HtHU0HHU8H kHU@H[HUHHUHmH H1H=ff.AWAVAUATUSH(HIHV6MAE1HEHH5HH1oE@oM0L<$HD$`Dt$C@fo$HD$HCdCP[HK0CTE~eAD$IUHH9AoEDAoEt3AoE u!AoE0H(H[]A\A]A^A_fDAtƒITHHØfDIEHAtIEHAuIEHAtIEHA|IE HAgIE(HARIE0HA=IE8H-IEHIEHpH H1H=DUSHHFH9Bt(H H1H=HBHHH9FuHB H9F uHB(H9F(u6HT$E11HD$z@P\HHH[]ff.ATUSH~t%H H1H=@H~HuH~ uH~(uHAHIH9Bt!H H1H=HAH9BuHA H9B uHA(H9B(uuHRE11@P]HHL[]A\UH HFHH9Bt!H H1H=HVH;UuL^ L;] uLV(L;U(uH;At!H H1H=H;QuL;Y uL;Q(uI;@tBH H1H=H H1H=I;PuM;X uM;P(uA9utIAIAIA IA(Hu|LL$LD$HL$H4$H4$HL$LD$LL$@P^HHHLLH ]H H1H=H H1H=H(HFH9Bt%H H1H=@HBH9FuHB H9F uHB(H9F(uHAHAHA HA(HueHL$HT$Ht$Ht$HT$HL$@P_HHHH(H H1H=H H1H=H H1H=AUATUSH(DEHՅHFHH9FnLjL9@HB H9F fHnHB(B(H9F(IHAEHtvE!AuLEuGfInHL~M)D$fl) $ @PUHHH([]A\A]H H>1H=H H<H=H H;H=H H91H=H H81H=H H51H=H H31H=H H01H=H H/1H=ff.AWIMAVMAUATIH UHSHH8HIH)HHpH9st+H@H9C0t!H HT1H=uHIH)HHxH9}t1H@H9E0t'H HU1H=fDA<$Ml$H|$ H)HL9ht.It$0H9pt#H HV1H=fL([LH|$pEEt$ eA9A HD$pIOID$I|$ IT$(L9t HI~HL$pL9i_L9i4H9A  H9Q(H|$xHt$xIIHD$H7L׾HHT$HD$fHnfl)D$ q|$xHH\$pxT@PVHLLLHH8[]A\A]A^A_H HW1H=H Hp1H=H Ho1H=H Hn1H=H Hm1H=H Hl1H=H Hi1H=H H`1H=H H_1H=H H^1H=H H]1H=H H\1H=H H[1H=H HYH=H HXH=H Hh1H=fAU 1ATUHH=SH#ff.H HH94rsHH9rHwuHHIItrLIHH{HttHHEHH]LeH[]A\A]fDHHf.HHL,뎿1H5E1H{Hu1H51MfI*YHH5H1H=HH5H1H=IfI*XmHH1HPHHfDSHHH{[fH 1H=ff.fH1HH9r#HH9rHHw HHDHrf.AWAVAULcATUSHEA9I~UHc‹oI1HD$fDM41A9LL9%Al$9~IT$HcL;tu!HD$HH9uKH[]A\A]A^A_H HF1H=H HO1H=ff.ATDgUHSH$HcCD9~ HSH;lu[]A\f.@GHHH f. 1H5$ff.DH HH<vGHH9r縠BHw0HHHgHHHHHDHH HHfAUIATIULSHLHK4$ 1H(H=Im,ff.ff.fH HH94HH9rHHw HH4HMgJHL,LLHTHJ<*N /IK<)HUHHVHu8HDeHHEH1HMLULM LE(HE0H}@EPHEXu2HH[]A\A]@HH3E1E1zDH}L1H} L1HH[]A\A]ff.1Ҿd@HH~LcoF@)N LF0H~8HvP@LHH@H@ H@(L@0Hx8pPH@X@@ff.AWAVAUATUSHHDGD9HWH;GHL8Hv8L9HUGPEPE~fA@HW(HM(HBH9D1Hff.oHH9uDAtHHDCE~WA@HSHMHBH9D1H@oHH9uDAtHHMHC@E1AHD$*ff.ff.IM9H|$LDDH#tHCH1L]@LEHN$LHHI$fM;&QHB1HI9HЉEHAIop == GGML_OP_UNARYGGML_ASSERT(%s) failedggml_can_repeat(b, a)ggml_is_contiguous(a)ggml_can_repeat(a, b)a->ne[0] <= INT32_MAXunknown allocation errorinvalid alignment valueinsufficient memoryGGML status: successGGML status: unknown0.15.25a5a496%s: objects in context %p: %s: --- end --- obj_newggml_is_contiguous_1(a)ggml_is_contiguous_1(b)ggml_are_same_shape(a, b)a->type == b->typewtype != GGML_TYPE_COUNTfatal errorctx->mem_buffer != NULLtensor->op == GGML_OP_GLU%s (cont)leaf_%dnode_%d%s (view)srcgrad for %sggml_is_padded_1d(a)ggml_is_scalar(b)a->type == GGML_TYPE_F32b->type == GGML_TYPE_F32b->type == GGML_TYPE_I32a->ne[2] * 4 == b->ne[0]a->ne[2] == b->ne[0]c->type == GGML_TYPE_F32c->ne[0] >= n_dims / 2ggml_is_vector(b)ggml_is_contiguous_rows(a)ggml_can_repeat_rows(b, a)a->ne[0] == b->ne[0]a->ne[1] == ids->ne[0]a->ne[2] == ids->ne[1]ids->type == GGML_TYPE_I32ggml_is_matrix(a)can_repeata->ne[d] == b->ne[d]ggml_can_mul_mat(a, b)!ggml_is_transposed(a)a->op == GGML_OP_MUL_MAT!ggml_is_transposed(as)as->ne[3] == 1b->ne[3] == 1ids->ne[1] == b->ne[2]as->ne[0] == b->ne[0]ids->ne[0] % b->ne[1] == 0ggml_can_out_prod(a, b)offset < (size_t)(1 << 30)%s (copy of %s)%s (copy)%s (reshaped)ggml_nelements(a) == ne0ggml_nelements(a) == ne0*ne1axis0 != axis1axis0 != axis2axis0 != axis3axis1 != axis2axis1 != axis3axis2 != axis3%s (permuted)%s (transposed)a->ne[2] == b->ne[1]a->ne[3] == b->ne[2]a->ne[2] == b->ne[2]a->ne[3] == b->ne[3]b->ne[1] == c->ne[0]b->ne[2] % c->ne[1] == 0b->ne[3] % c->ne[2] == 0c->ne[3] == 1ggml_is_contiguous_rows(b)a->ne[1] == 1ggml_is_contiguous(mask)mask->ne[0] == a->ne[0]mask->ne[1] >= a->ne[1]a->ne[2]%mask->ne[2] == 0a->ne[3]%mask->ne[3] == 0maska->op == GGML_OP_SOFT_MAXa->src[2] == NULLsinks->type == GGML_TYPE_F32b->ne[1] == a->ne[1]s0 > 0oc > 0p0 >= 0K_OC == K * ocK > 0 && T_out > 0ggml_is_matrix(b)a->ne[3] == 1p0 == 0d0 == 1a->ne[2] == 1a->ne[3] == (int64_t) c * ocb->ne[3] == (int64_t) c * nne[0] > 0ne[1] > 0scale_factor > 1p1 >= 0p0 < a->ne[0]p1 < a->ne[0]abs(shift0) < a->ne[0]abs(shift1) < a->ne[1]abs(shift2) < a->ne[2]abs(shift3) < a->ne[3]a->ne[0] == a->ne[1]a->ne[0] >= kstop > startggml_can_mul_mat(k, q)q->ne[3] == k->ne[3]q->ne[3] == v->ne[3]mask->type == GGML_TYPE_F16q->ne[2] % mask->ne[2] == 0q->ne[3] % mask->ne[3] == 0a->src[4] == NULLggml_is_3d(sx)ggml_is_matrix(c)sx->ne[0] == d_conv - 1 + n_tsx->ne[1] == d_innern_t >= 0ggml_is_contiguous(s)ggml_is_contiguous(dt)ggml_is_contiguous(A)x->nb[1] == x->ne[0]*x->nb[0]B->nb[1] == B->ne[0]*B->nb[0]C->nb[1] == C->ne[0]*C->nb[0]ggml_are_same_shape(B, C)dt->ne[0] == n_headdt->ne[1] == n_seq_tokensdt->ne[2] == n_seqsggml_is_3d(dt)s->ne[1] == head_dims->ne[2] == n_headB->ne[0] == d_stateB->ne[2] == n_seq_tokensB->ne[3] == n_seqsids->ne[0] == n_seqsggml_is_vector(ids)A->ne[1] == n_headggml_is_matrix(A)A->ne[0] == d_stateqh == kh2*MAX(qh, kh) - 1 == a->ne[1]ggml_are_same_shape(pw, ph)ggml_is_contiguous(pw)ggml_is_contiguous(ph)ph->type == GGML_TYPE_F32pw->type == GGML_TYPE_F32pw->ne[3] == a->ne[2]ggml_is_contiguous(k)ggml_is_contiguous(v)ggml_is_contiguous(r)ggml_is_contiguous(tf)ggml_is_contiguous(td)ggml_is_contiguous(state)ggml_is_contiguous(q)ggml_is_contiguous(g)ggml_is_contiguous(w)ggml_is_contiguous(b)n_args < GGML_MAX_SRCn_args < GGML_MAX_SRC - 1ggml_are_same_shape(b, c)ggml_is_scalar(a)ggml_are_same_shape(a, grad)ggml_are_same_shape(a, m)ggml_are_same_shape(a, v)params->type == GGML_TYPE_F32ggml_nelements(params) == 2a->ne[1] == b->ne[1]lower && left && !uniggml_is_contiguous_rows(q)ggml_is_contiguous_rows(k)ggml_is_contiguous_rows(v)ggml_is_contiguous(beta)q->type == GGML_TYPE_F32k->type == GGML_TYPE_F32v->type == GGML_TYPE_F32g->type == GGML_TYPE_F32beta->type == GGML_TYPE_F32state->type == GGML_TYPE_F32beta->ne[0] == 1state->ne[0] == S_vstate->ne[1] == S_vstate->ne[2] == Hstate->ne[3] == n_seqsK >= 1idx >= 0 && idx < n_tensorsdst->size >= src->n_leafsdst->size >= src->n_nodesdst->grads != NULLdst->grad_accs != NULLtensor->datacgraph->grads != NULLggml_is_scalar(grad_acc)grad_acc->datacgraph->n_nodes + i >= 0i < cgraph->n_nodescgraph->n_nodes > 0cgraph->gradscgraph->grad_accsihash != GGML_HASHSET_FULLgrad->ne[2] == src1->ne[2]grad->ne[3] == src1->ne[3]tmp->ne[0] == src0->ne[0]tmp->ne[3] == 1src0->type == tensor->typeggml_is_contiguous(grad)offset % n0 == 0nb1 % n0 == 0nb2 % n0 == 0nb3 % n0 == 0tmp->ne[1] == src0->ne[1] xg=== GRAPH === n_nodes = %d n_leafs = %d outputs && num_outputs > 0emptydashedveesolidwfpdigraph G { newrank = true; rankdir = TB; %s (%s)|(%s)|%d [%ld, %ld, %ld] | %s%d [%ld, %ld] | %s | %s"; ] "; ] CONST %d [%ld, %ld] | (, src %d} tensor->op == GGML_OP_NONEggml_is_scalar(tensor)tensor->type == GGML_TYPE_F32imatrix != NULLstart % n_per_row == 0result == nrows * row_sizeREGLUGEGLUSWIGLUSWIGLU_OAIGEGLU_ERFGEGLU_QUICKABSSGNNEGSTEPTANHELURELUSIGMOIDGELUGELU_QUICKSILUHARDSWISHHARDSIGMOIDEXPEXPM1SOFTPLUSGELU_ERFXIELUFLOORCEILROUNDTRUNCnonex+yx[i]+yview(x,nb,offset)+=y->xx-yx*yx/yx^2√xlog(x)sin(x)cos(x)ΣxΣx_kcumsum(x)Σx/nargmax(x)count_equal(x)repeat(x)repeat_back(x)concat(x, y)silu_back(x)norm(x)rms_norm(x)rms_norm_back(x)group_norm(x)l2_norm(x)X*YX[i]*Yx*vy-\>view(x)x-\>ycont(x)reshape(x)view(x)permute(x)transpose(x)get_rows(x)get_rows_back(x)set_rows(x)diag(x)diag_mask_inf(x)diag_mask_zero(x)soft_max(x)soft_max_back(x)rope(x)rope_back(x)clamp(x)conv_transpose_1d(x)im2col(x)im2col_back(x)im2col_3d(x)col2im_1d(x)conv_2d(x)conv_3d(x)conv_2d_dw(x)conv_transpose_2d(x)pool_1d(x)pool_2d(x)pool_2d_back(x)upscale(x)pad(x)pad_reflect_1d(x)roll(x)arange(start, stop, step)argsort(x)top_k(x)leaky_relu(x)tri(x)fill(x, c)flash_attn_ext(x)flash_attn_back(x)ssm_conv(x)ssm_scan(x)win_part(x)win_unpart(x)get_rel_pos(x)add_rel_pos(x)rwkv_wkv6(k, v, r, tf, td, s)unary(x)map_custom(x)map_custom(x,y)map_custom(x,y,z)custom(x)cross_entropy_loss(x,y)cross_entropy_loss_back(x,y)adamw(x)sgd(x)glu(x)NONEDUPADDADD_IDADD1ACCSUBMULDIVSQRSQRTLOGSINCOSSUMSUM_ROWSCUMSUMMEANARGMAXCOUNT_EQUALREPEATREPEAT_BACKCONCATSILU_BACKNORMRMS_NORMRMS_NORM_BACKGROUP_NORML2_NORMMUL_MATMUL_MAT_IDOUT_PRODSCALESETCPYCONTRESHAPEVIEWPERMUTETRANSPOSEGET_ROWSGET_ROWS_BACKSET_ROWSDIAGDIAG_MASK_INFDIAG_MASK_ZEROSOFT_MAXSOFT_MAX_BACKROPEROPE_BACKCLAMPCONV_TRANSPOSE_1DIM2COLIM2COL_BACKIM2COL_3DCOL2IM_1DCONV_2DCONV_3DCONV_2D_DWCONV_TRANSPOSE_2DPOOL_1DPOOL_2DPOOL_2D_BACKUPSCALEPADPAD_REFLECT_1DROLLARANGETIMESTEP_EMBEDDINGARGSORTTOP_KLEAKY_RELUTRIFILLFLASH_ATTN_EXTFLASH_ATTN_BACKSSM_CONVSSM_SCANWIN_PARTWIN_UNPARTGET_REL_POSADD_REL_POSRWKV_WKV6GATED_LINEAR_ATTNRWKV_WKV7SOLVE_TRIGATED_DELTA_NETUNARYMAP_CUSTOM1MAP_CUSTOM2MAP_CUSTOM3CUSTOMCROSS_ENTROPY_LOSSCROSS_ENTROPY_LOSS_BACKOPT_STEP_ADAMWOPT_STEP_SGDGLUf32f16q4_0q4_1DEPRECATEDq5_0q5_1q8_0q8_1q2_Kq3_Kq4_Kq5_Kq6_Kq8_Kiq2_xxsiq2_xsiq3_xxsiq1_siq4_nliq3_siq2_siq4_xsi8i16i32i64f64iq1_mbf16tq1_0tq2_0mxfp4nvfp4q1_0bt -frame-info source-and-location/mnt/workspace/git/transcribe.cpp/ggml/src/ggml.cn_tasks == GGML_N_TASKS_MAX || n_tasks > 0cgraph->nodes[cgraph->n_nodes - 1] == tensorsize <= SIZE_MAX - (GGML_MEM_ALIGN - 1)%s: overflow detected in cur_end (%zu) + size_needed (%zu) %s: overflow detected in cur_end (%zu) + size_needed (%zu) + GGML_OBJECT_SIZE (%zu) %s: not enough space in the context's memory pool (needed %zu, available %zu) ((uintptr_t) (mem_buffer + obj_new->offs))%GGML_MEM_ALIGN == 0Behavior may be unexpected when allocating 0 bytes for ggml_aligned_malloc! %s: %s (attempted to allocate %6.2f MB) GGML status: error (failed to allocate memory)GGML status: error (operation failed)GGML status: warning (operation aborted) - ggml_object: type = %d, offset = %zu, size = %zu, next = %p n_dims >= 1 && n_dims <= GGML_MAX_DIMSGGML_TENSOR_SIZE <= SIZE_MAX - obj_alloc_sizetype >= 0 && type < GGML_TYPE_COUNTview_src == NULL || data_size == 0 || data_size + view_offs <= ggml_nbytes(view_src)%s: failed to allocate %6.2f MB ((uintptr_t) (ctx->mem_buffer))%GGML_MEM_ALIGN == 0cgraph->n_leafs < cgraph->sizecgraph->n_nodes < cgraph->sizenode_hash_pos != GGML_HASHSET_FULLggml_nelements(b) <= ggml_nelements(a)(mode & 1) == 0 && "mode & 1 == 1 is no longer supported"ggml_is_quantized(a->type) || a->type == GGML_TYPE_F16 || a->type == GGML_TYPE_BF16dim >= 0 && dim < GGML_MAX_DIMSids->ne[2] == 1 && ids->ne[3] == 1ggml_nelements(a) >= ggml_nelements(b)ggml_nelements(a) == ggml_nelements(b)ggml_nelements(a) == (ne0*ne1*ne2*ne3)ggml_nelements(a) == ne0*ne1*ne2ggml_nelements(a) == ne0*ne1*ne2*ne3axis0 >= 0 && axis0 < GGML_MAX_DIMSaxis1 >= 0 && axis1 < GGML_MAX_DIMSaxis2 >= 0 && axis2 < GGML_MAX_DIMSaxis3 >= 0 && axis3 < GGML_MAX_DIMSggml_is_matrix(a) && ggml_is_vector(b) && b->type == GGML_TYPE_I32ggml_is_matrix(c) && (a->ne[0] == c->ne[0])c->type == GGML_TYPE_I64 || c->type == GGML_TYPE_I32mask->type == GGML_TYPE_F16 || mask->type == GGML_TYPE_F32a->src[0]->ne[2] == sinks->ne[0](!is_2D || OH > 0) && "b too small compared to a"(OW > 0) && "b too small compared to a"a->type == GGML_TYPE_F32 || a->type == GGML_TYPE_F16 || a->type == GGML_TYPE_BF16(OD > 0) && "b too small compared to a"(OH > 0) && "b too small compared to a"ggml_blck_size(result->type) == 1(mode & 0xFF) < GGML_SCALE_MODE_COUNT!(mode & GGML_SCALE_FLAG_ANTIALIAS) || (mode & 0xFF) == GGML_SCALE_MODE_BILINEARa->nb[0] == ggml_type_size(a->type)a->type == GGML_TYPE_F32 || a->type == GGML_TYPE_F16a->op == GGML_OP_FLASH_ATTN_EXTTODO: adapt to ggml_flash_attn_ext() changesx->nb[0] == ggml_type_size(x->type)B->nb[0] == ggml_type_size(B->type)C->nb[0] == ggml_type_size(C->type)pw->ne[0]*pw->ne[0] == a->ne[0]pw->ne[1]*pw->ne[2] == a->ne[1]v->ne[0] == S && v->ne[1] == H && v->ne[2] == n_tokensr->ne[0] == S && r->ne[1] == H && r->ne[2] == n_tokenstd->ne[0] == S && td->ne[1] == H && td->ne[2] == n_tokensggml_nelements(state) == S * S * H * n_seqsq->ne[0] == S && q->ne[1] == H && q->ne[2] == n_tokensg->ne[0] == S && g->ne[1] == H && g->ne[2] == n_tokensw->ne[0] == S && w->ne[1] == H && w->ne[2] == n_tokensa->ne[0] == S && a->ne[1] == H && a->ne[2] == n_tokensb->ne[0] == S && b->ne[1] == H && b->ne[2] == n_tokensa->flags & GGML_TENSOR_FLAG_PARAMadamw_params->type == GGML_TYPE_F32ggml_nelements(adamw_params) == 7g->ne[0] == 1 || g->ne[0] == S_vBehavior may be unexpected when allocating 0 bytes for ggml_malloc! Behavior may be unexpected when allocating 0 bytes for ggml_calloc! dst->visited_hash_set.size >= src->visited_hash_set.size/mnt/workspace/git/transcribe.cpp/ggml/src/ggml-impl.higrad_src != GGML_HASHSET_FULLggml_bitset_get(src->visited_hash_set.used, igrad_src)igrad_dst != GGML_HASHSET_FULLggml_bitset_get(dst->visited_hash_set.used, igrad_dst)grad_acc->type == GGML_TYPE_F32cgraph->size > cgraph->n_nodesany_params && "no trainable parameters found, did you forget to call ggml_set_param?"any_loss && "no training loss found, did you forget to call ggml_set_loss?"node->src[j]->type == GGML_TYPE_F32 || node->src[j]->type == GGML_TYPE_F16!node->view_src || node->op == GGML_OP_CPY || node->op == GGML_OP_VIEW || node->op == GGML_OP_RESHAPE || node->op == GGML_OP_PERMUTE || node->op == GGML_OP_TRANSPOSEggml_bitset_get(cgraph->visited_hash_set.used, ihash)!cgraph->grads[isrc0] || cgraph->grads[isrc0]->type == grad->type!cgraph->grads[isrc1] || !src1_needs_grads || cgraph->grads[isrc1]->type == grad->type!cgraph->grads[isrc0] || ggml_is_contiguous(cgraph->grads[isrc0])ggml_nelements(tensor) == ggml_nelements(src0)(!src1 || !src1_needs_grads) && "backward pass for softmax mask not implemented"(!src2 || !src2_needs_grads) && "gradients for freq factors not implemented"%s: unsupported unary op for backward pass: %s !src1_needs_grads && "backward pass for labels not implemented"src1 && "backward pass only implemented for split swiglu"unsupported glu op for backward pass: %s%s: unsupported ggml op for backward pass: %s !src0_needs_grads || ggml_are_same_shape(src0, cgraph->grads[isrc0])!src1_needs_grads || ggml_are_same_shape(src1, cgraph->grads[isrc1])!src2_needs_grads || ggml_are_same_shape(src2, cgraph->grads[isrc2]) - %3d: [ %5ld, %5ld, %5ld] %16s %s ======================================== - %3d: [ %5ld, %5ld] %8s %16s "%p" [ style = filled; fillcolor = %s; shape = record; label=" "%p" [ style = filled; fillcolor = %s; shape = record; label=" "%p" -> "%p" [ arrowhead = %s; style = %s; label = "%s"; ] %s: dot -Tpng %s -o %s.png && open %s.png "%p" -> "%p" [ label = "%s"; ] start % type_traits[type].blck_size == 0timestep_embedding(timesteps, dim, max_period)gated_linear_attn(k, v, q, gate, s)rwkv_wkv7(r, w, k, v, a, b, s)A X = B, A triangular, solve Xgated_delta_net(q, k, v, g, beta, s)TYPE_Q4_0_4_4 REMOVED, use Q4_0 with runtime repackingTYPE_Q4_0_4_8 REMOVED, use Q4_0 with runtime repackingTYPE_Q4_0_8_8 REMOVED, use Q4_0 with runtime repackingTYPE_IQ4_NL_4_4 REMOVED, use IQ4_NL with runtime repackingTYPE_IQ4_NL_4_8 REMOVED, use IQ4_NL with runtime repackingTYPE_IQ4_NL_8_8 REMOVED, use IQ4_NL with runtime repackingggml_graph_dump_dotggml_compute_backward %C  @ @ +# @ ggml_callocggml_new_objectggml_mallocggml_print_objectsggml_aligned_malloc     " $Tn$BJb2 nR86B @$?wA?@FI@K@@@@@>?>GCC: (Debian 14.2.0-19) 14.2.0zRx lDS I H<P:$dNd F PA-AL^AdKEB B(A0C8JN 8A0A(B BBBF G8D0A(B BBB(#DZ@TGp7BIB B(A0A8DN 8A0A(B BBBC  8A0A(B BBBA HRDHACASLZHCI8(LBED A(Jx%D%D%D%D%D%D%D%D%D,%D@%DTG pD G Q G (AD g DH Y DK FXm$4$8Nd F PA`t?D h?D h0!(DBMK MDPp<BFB A(A0 (A BBBB HBBB B(A0A8DPx 8A0A(B BBBH H8*BIB E(D0D8Gp 8A0A(B BBBA ,BDC G@ AABHSBBB B(A0A8DP? 8A0A(B BBBI HBBB B(A0A8DPO 8A0A(B BBBI HLSBBB B(A0A8DPE 8A0A(B BBBC 'c$8L`t?'  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ggml_uncaught_exception/mnt/workspace/git/transcribe.cpp/ggml/src/ggml.cppHH=HtHH=H9t HXH H1H=GCC: (Debian 14.2.0-19) 14.2.0zRx  D0DYDU A Y E q ? b Yz _ZL23ggml_uncaught_exceptionv_ZL26previous_terminate_handler_ZL23ggml_uncaught_exceptionv.cold_GLOBAL__sub_I_ggml.cpp.LC1.LC2.LC3.LC4ggml_print_backtracegetenv_ZSt13get_terminatev_ZSt13set_terminatePFvvEggml_abort  ".; B P U4 4H.symtab.strtab.shstrtab.rela.text.data.bss.rela.text.unlikely.rodata.str1.1.rodata.str1.8.rela.text.startup.rela.init_array.comment.note.GNU-stack.rela.eh_frame @ @`&`,`6`1@E2e)T2ThYc@ {Hv@ 0P pp`@H `ggml-alloc.c.o/ 0 0 0 644 25904 ` ELF>pa@@AVLcHAUATI1USH7JlHHH)1HL4 HHK&1H9H9H9LAN M9uHcMDcHHL@A9~CLH;xu:L@VL@A9~#HcS)HHHtH|HD[]A\A]A^fHcMHH|L'LGtۍVHcHoLfofsffH~I9uDcfH~LHWA9~S)HtHHyE1$ff.ff.AHD9tEL9 rD9~;D)PHcHHpHHHHHHHH<HHMcIJL-L!Lq[]A\A]A^E1H H1H=AWI1AAVAUATUHSHHHHHw LE0H(HIfDI;]t=HB1HI9IHЉM,EHAL$A$DuD A$I]L]8H1AM$LHHI!f.L; t:HB1HI9HЉEHAI L4ADuD AL HLM4HEIcVH<IcT$HIHEH<HI9IcVHELL1I0HHH)1HHJ 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IILJ(IILJ0IILJ8IILJ@IILJHIILJPII LJXII tvLJ`II tcLJhII tPLJpII t=LJxIIt*LIItHHIIHI9H[]H H1H=E1E111@AWAVAUATIUHSH8F9GHN9OXE1E17HEM|$@JMH<HHtH5HHtHTHHtHzHHtHHHtHHHtH,HHtHHHtH8HHtH^HHtHII`D9mAT$E1 EID9~;ID$JHtLfH;HtHI9uAT$ID9ŋU1ۅfDI}H9~uHE(L,IHuIuHIT$HHID$PHcLcpLn_free_blocks < MAX_FREE_BLOCKS && "out of free blocks"/mnt/workspace/git/transcribe.cpp/ggml/src/ggml-alloc.c/mnt/workspace/git/transcribe.cpp/ggml/src/ggml-impl.h%s: not enough space in the buffer to allocate %zu bytes, largest block available %zu bytes graph allocation: failed to reserve memory%s: failed to allocate %s buffer of size %zu %s: not enough space in the buffer to allocate %s (needed %zu, available %zu) not enough space in the buffer%s: failed to initialize tensor %s ggml_get_no_alloc(ctx) == trueggml_gallocr_reserve_n_impl(galloc, graph, node_buffer_ids, leaf_buffer_ids, true)buffer_id >= 0 && buffer_id < galloc->n_buffersGGML_ASSERT(%s) failedfatal errorparent_size >= node_sizebuffer_id >= 0galloc->hash_set.keys != 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H1H=ff.H8AUATUHSHG~]IE1~M1ff.IHHHHPh9AD;m}I HHHHH(H0H8H@HHHPHHhHHH[]A\A]H9'ff.SHtp?Ht C[@HHH(HHcSHc1HH0HHC[H H1H=fUSHHWH1ۅ~%DH|HtFHG@Ht-ЋUH9}u DžH[]fH9}uH H1H=:f.HtHHPH 1H~H=f.HtPH 1HH=fHtPH 1HH=fHtGPH 1HH=DHHt7x9w~ HcHDHH H1H=H H1H=ff.@HHG H;w&H;w"H;wH;w  H;w(H;w0H;w8H;w@tvH;wH tgH;wP tXH;wX tIH;w` t:H;wh t+H;wptH;wxt H;H H1H=D1HLjHø޸׸иɸ¸뻸 봸 뭸 릸 럸 똸둸H H1H=ff.@HHG H;w&H;w%H;wH;w  H;w(H;w0H;w8H;w@tvH;wH tgH;wP tXH;wX tIH;w` t:H;wh t+H;wptH;wxt H;H H1H=D1HH۾Ծ;ƾ뿾븾 뱾 몾 룾 뜾 땾뎾H H1H=ff.AUIATUSHH}G HI;P"I;PI;PI;P I;P(I;P0~I;P8uI;P@ltvI;PHg tgI;PPb tXI;PX] tII;P`X t:I;PhS t+I;PpNtI;PxIt I;AH H1H=1ff.IH1M(HIM HII;<$t:HB1HI9HAM$HAHtrDI<$AAH[]A\A]ûsi_UKA7- #    H>H=1H H1H=ff.ATIUSHIH1HHM(IHM IH;}t5HB1HI9t>HAI,HAH4rDH}Ict ID[]A\1H>H=1Ͼff.@AWIAVAUATUHS1HFHt$L](M(IMM I41HHHHfI;ut=HB1HH9 HAM,HAM$A$rDA$IuM$A<$' H9]HD$1ۋHHŅ"M(IMM HuH 1HHHII;Mt=HB1HI9 HAM,HAM$A$rDA$IMM$A<$ MH9&"Ld$1۽ID$H4؋FP$IH1M(HMM HHfI;ut;HB1HH9) HAM,HAMArDAIuM,AE AwV9 AL$H9Eȃ!HcHcщH)HL$HD$H@H<GP$IH1M(HMM HI@I;}t9HB1HI9A HAM,HAI rDI}M,AE AwV9EHI9ELd$AL$k 1۽ID$H4؋FP$IH1M(HMM HH@I;ut;HB1HH9qHAM,HAMArDAIuM,AE AL$H9RȃHcHcщH)HL$HD$H@H<GP$IH1M(HMM HII;}t9HB1HI9HAM,HAI rDI}M,AE HI9UHD$H1HD$H@H,؋EP$!IH1M(HMI HHfDI;+t:HB1HH9HALHAMArDAI+ID HD$ AE1EH\$Lff.f.IE9~UIcHÈJ9uJDHHHHHPHHD$ ID E9IH\$HD$HH9Ll$E1IEI1II JI(HD$HHHI@I;t:HB1HI9HALHALArDAIHD$LH,Mt }eH\$LLLt$ L|$(Ll$0Ll$MMteL1HHHM;t:HB1HH9HALHAL ArDAMI\;CIM9uL|$(H\$E1Lt$ Ll$0AG~Nff.}uIKDHGHHHHPHDeIE9gEAMID9:IHD$HD$E1HpHAHD9H:GP$vMH1EHI(IIM I@I;8tDHB1II9HAMHAL$A$rDA$HD$I8H\HD$\$@ǀA9D$ IcIL4J6CP$`IH1M(HMM HIH;t5HB1HI9HЉIHALHAL ArDAMADVELH>H=1L1HHI@M; t6HB1HI9tHALHALArDAM HD$E;ELLI7HtDHA6IM9uHD$ IH\$D(HD$HH91LH{A$9]7HLHZA$M9KAL$tHcIDHHHHPHtAmAL$AGHH\$(E1HD$IE9o8KDH6HHHHPHtDl$1HDd$8Ll$@Hl$0ff.@LMIL1M(HII HIM;t:HB1HI9HALHAL ArDAMAH []A\H9{,f.ǃ;tCH []A\@HHH(HHcSHc1HH0HHH H1H=H H91H=H H81H=H HH=ff.AUATUSH(HLFHIF;IH?@SC1ff.@H|HoHG@HЋSH9؀{HHǃǃH$HHD$HD$H foD$ HD$0$HD$H HHLHID$XH@MH8HH(HX[]A\A]H9{,f.ǃHHH(HHcSHc1HH0HHcH H1H=H H,1H=H HH=H H+1H=H H*1H=USH(H=FHHF;LJHD$AfnLJHH$HHD$fnfbfևHH foD$ HD$0$HD$H HHdHHHEXCHc\~CL8HHH1@Ic Hc9tHӈH9ˈHH9uHc`~EL@HPH1fDIc Hc9tHӈH9ˈHH9uHHX~9S1~0ff.H|HHG@HtqЋSH9HXH@H8HHHHńtCCH([]ÐdhDH9lf.1HH5H([]H H1H=P`H HH=PD\1DH HK1H=H HJ1H=H HH=H HI1H=HHHHHHHxHtdHt9H~HHHHGHtHf.1HH H1H=H H1H=H HH=H H1H=H H1H=fDAVIAUIATLIUHH1SHHHH @IFL;,t!HB1HH9HHrHD8ujIHtzILHLuHufIIff.H HtHLL:HI9u[]A\A]A^Ho@HLH H1H=fAVAUATUSHH~HHLMhHH;IHCHtHHI9Hu_H{XHHG HHHMtu HChHtHCHtHIHHChIM9rYLHCH]Ht(HH[]A\A]A^H{h>Y[1]A\A]A^DHgH H1H=͉H H1H=H H|1H=H H1H=H H1H=H H1H=H H1H=‡fAWAVAUATUSHxH|$Ht$HHr8Lt$0ILH\$0HH߾IfD$XH$D$`HD$0Ic<$1HH HH\$pfoD$pH$$HD$foD$pHH$$HD$H HHHAT$E1~@fID$H HHfoD$PLJ HD$`I$HD$-H E9|$Ht$HHD$HAD$E1~ILH\$H$IHfHULLJ HI&D9}HH\$LIIc4$1HAt$IDžL@t$HcE1HL$0H|$8H\$ LL$@M\$Hl$(L$K41HHHHI;4t)HB1HH9HH,HrID-KIM9ut$H\$ Hl$(AwLLH<$HD$Ht$H0HXHhLxHx[]A\A]A^A_@HHH51E1LLH<$H1H1HD$sHH5H H1H=ff.SH\$HtHHtHоxHH|$H|$ [fDAWAVIAUMATUSHH(H<$H|$@H$`HL$LD$L|$@MvLd$XHMH<$H$LHPhH<$HG@HtHLHShHC@HtHAF11ɅL|$ LMMH<$IHfD$L<1ff.DHH9t4IEJ48I;4uIFHHL$|$J8HD$йH9uH$H$A9EL|$ *H H1H=fDAVL,$M9H|HD$`Ld$ H$H$HD$L|$8ff.IFH<$MLL$,ALHGpH H|$LAHE9^I$HH|$Ia HD$HPhu`A~5Ht$ Ic$HD:ItHtHD$H@pH H|$ЃD$tIhD$tA9$1H|$0HtHt$PD$H)D$H|$@HtHt$XD$H)D$HH[]A\A]A^A_H'H|$t HD$H@xHC H|$A ~HD$H@H xpHD$H@8HtHT$Ht$LLЄM IF@HtLIc$H|$ HD:ItHtdH>HGpH7H H#H=fHHD$Ic'E1$H|$H|$HG@HH|$H|$HG@HHxXHeHG(HIHH\$8ЄL;HD$8xPHD$HX H@@HD$HH$MtIF@HtLHD$8AHHD$8A9I$0Hl$hL$M$H$M$M$ HD$h1ItHHIHH;1t:HB1IH9nHAI HAMArDAH1Ic$IcD$Ic$H|$8HH‹T$pH$HcHHH9<HD$hHD$hA9JL$HD$DA D$;fHcD$IH,II$HH2A 9~5II$H,HA$DAEHtT$H|$(IDH|$H\$Ht$(HShHC@HtHEtI$1HA$VE9 ID|$I$H>H=1H>H=1A4Ht$ Ic$HD:ItHH|$H H1H=fHcD$hLL$IDHHD$8HD$hHt$xHD$8H9HHT$`Ht$@HH)HH9H H9HCL$`HL$`H|$8HT$@Ht$8I1H|$hH|$hH|$hHG@HtHKH/~D$0HD$PH$HflH$)$H$HD$0H$HD$PHD$8H@HHt$8LVMLl$xHLN0E1L|$hHl$0AL|$@Ht$8H$1H$Ln81MIff.HHLA 7HcH9+HDHL TL9uH$IH$I9xL|$hLl$xHHD$0HHt$01ɉT$HHHtڃHcL$Ht$HHcHLSH9XH$H$LcH|$HHGыD$HT$xAH|$HHcHt$xA)L$ALT$HDŽ$McHLLLL9LLHD$HH|$HHD$hLT$L$D$LIL9~3Ht$0LDL$hHcHDsڋt$VD9NT$DD$Ht$HA)HAMcLƸH9HGHcD$HLL9LLHD$H|$LHHHD$8HD$x(vLD$HLD$n1ɺnH HO1H=HD$8H@HHD$0HL$HD$LSIHuH$Ht$`H)H$H$Ht$XH$HH$HD$@H$HD$`H$HD$XLD$HD1H H1H=H HH=t@H H#H=H HI1H=H H1H=H H1H=H H1H=H HH=H H*H=H H)1H=H H1H=H>H=1HHHHUSHH?GHHt"uHHtuHH[]uHHH(HHcSHc1HH0HHf|H[]H Hb1H=ff.fATUSH0?GHHttuHHHAċM1ۅ~1fH|HHW@HҋMH9؀}u DžD[]A\ÄuHHH(HHcUHc1HH0HHfE)fH9DgA"H H1H=H Hb1H=CPUCPU_MappedbufferGGML_ASSERT(%s) failedtensorbuftbackenddeviceschedsrcsrc != NULLfatal errorNULLbackend_dsteventregctx->buffers != NULLn_backends > 0GGML_SCHED_DEBUGGGML_SCHED_DEBUG_REALLOC*cur_backend_id != -1node_backend_id != -1sched->splits != NULLsrc_backend_id != -1%s#%s#%d ## SPLIT #%d: %s # %d inputs : %zuM[%s (%5.5s)] %zuKsched->graph.nodes != NULLsched->graph.leafs != NULLsizes!sched->is_alloc%s: failed to allocate graph tensor->buffer == NULLtensor->view_src != NULLstatus == GGML_STATUS_SUCCESStensor->data == NULLtensor->view_src == NULLgraphggml_backend_graph_copytest_nodesverifiedid >= 0 && id < n_expert/mnt/workspace/git/transcribe.cpp/ggml/src/ggml-backend.cppggml_backend_cpu_buffer_type_alloc_buffer%s: failed to allocate buffer of size %zu base != NULL && "backend buffer base cannot be NULL"src->data && "graph must be allocated"/mnt/workspace/git/transcribe.cpp/ggml/src/ggml-impl.hpre-allocated tensor (%s) in a buffer (%s) that cannot run the operation (%s)buf != NULL && "tensor buffer not set"tensor->data != NULL && "tensor not allocated"offset + size <= ggml_nbytes(tensor) && "tensor write out of bounds"offset + (n_copies-1)*stride_tensor + size <= ggml_nbytes(tensor) && "tensor write out of bounds"offset + size <= ggml_nbytes(tensor) && "tensor read out of bounds"offset + (n_copies-1)*stride_tensor + size <= ggml_nbytes(tensor) && "tensor read out of bounds"buf->iface.memset_tensor != NULL && "memset not implemented by backend buffer"backend->iface.graph_plan_create != NULLbackend->iface.graph_plan_free != NULLbackend->iface.graph_plan_compute != NULLggml_are_same_layout(src, dst) && "cannot copy tensors with different layouts"backend->iface.event_record != NULLevent->device->iface.event_synchronizebackend->iface.event_wait != NULLggml_backend_buffer_is_multi_buffer(buffer)n_backends <= GGML_SCHED_MAX_BACKENDSggml_backend_dev_type(ggml_backend_get_device(backends[n_backends - 1])) == GGML_BACKEND_DEVICE_TYPE_CPUggml_backend_supports_buft(backends[b], sched->bufts[b])i >= 0 && i < sched->n_backendsbackend_index >= 0 && backend_index < sched->n_backendsn_graph_inputs < GGML_SCHED_MAX_SPLIT_INPUTSn_inputs < GGML_SCHED_MAX_SPLIT_INPUTSnode #%3d (%10.10s): %20.20s (%5.5s) [%5.5s %8.8s] use=%d,c=%d: %20.20s (%5.5s) [%5.5s %8.8s]ggml_backend_sched_split_graph%s: failed to initialize context (int)sched->hash_set.size >= measure_graph->n_nodes + measure_graph->n_leafs(int)sched->hash_set.size >= graph->n_nodes + graph->n_leafsggml_backend_sched_alloc_splits%s: unexpected graph reallocation (graph size = %d, nodes = %d, leafs = %d), debug_realloc = %d tensor->view_src->buffer != NULLtensor->view_src->data != NULLaddr >= ggml_backend_buffer_get_base(buffer)ggml_backend_buffer_is_meta(buffer) || (char *) addr + ggml_backend_buffer_get_alloc_size(buffer, tensor) <= (char *) ggml_backend_buffer_get_base(buffer) + ggml_backend_buffer_get_size(buffer)%s: failed to allocate context for graph copy %s: failed to allocate buffer for graph copy (uintptr_t)ptr % TENSOR_ALIGNMENT == 0 && "buffer pointer must be aligned"vector::_M_default_appendHAWAVAUATIUSHHHWHGH)HH9HH)HD$HIIIL)H9HL9MLCMI9LGILHHJ8HtHxH1M|H|$LI,$HDLID$Il$H[]A\A]A^A_HzHtH1HH)HPHI|$H[]A\A]A^A_@LL|$HLID$L)HH|$cIt$HD$H)H=HAWAVAUATIUSHHHWHGH)HH9HH)HD$HIIIL)H9HL9MLCMI9LGILHHJ8HtHxH1M|H|$LI,$HDLID$Il$H[]A\A]A^A_HzHtH1HH)HPHI|$H[]A\A]A^A_@LL|$HLID$L)HH|$cIt$HD$H)H=H$HD$0H$HD$PHt$PHD$0H)Ht H|$0Ht$XHD$@H)HtHHHt$PHD$0H)H$HD$@H$HD$X, SGCC: (Debian 14.2.0-19) 14.2.0zRx 0DXl:Y8W=^<[=^4S%D%D %D %D4%D,HBGA  ABG x%D%D%D%D%D%D%D%D%D,%D@%DT%Dh%D|%D%D%D%D,BAA ~ ABA ,BAA W DBO 4,BAA q CBF b ABA Ld$BED D(D0v (C ABBG D (F ABBA TBBB B(A0A8DPpkPppPZ 8D0A(B BBBF L BKA A(D0D (A ABBC T (C ABBD \ H pAR E E A IYYT,K(iBID VAB$%DU B `@=BBE A(A0 (C BBBG C (C BBBD E (F BBBG )FV,K aAe J J A T ;Z &DV B <>D[ I K A \>D[ I G E |9D[ I F A +JK3R8()DY B 4DAAD w GAK H AAA |<Dg B SDl H K A `BBB B(A0A8D@W 8P0A(B BBBB D 8A0A(B BBBB `1BBB B(A0A8D@Q 8P0A(B BBBH R 8M0A(B BBBE `GBBB B(A0A8D`j 8A0A(B BBBF U 8A0A(B BBBI `BBB B(A0A8D@W 8P0A(B BBBB D 8A0A(B BBBB `H 1BBB B(A0A8D@Q 8P0A(B BBBH R 8M0A(B BBBE ` GBBB B(A0A8D`j 8A0A(B BBBF U 8A0A(B BBBI T xBBB B(A0A8DPXM`OXAPD 8A0A(B BBBF Th xBBB B(A0A8DPXM`OXAPD 8A0A(B BBBF ` IBBB B(A0A8D@d 8Q0A(B BBBD D 8A0A(B BBBB $ R8 XDR B T XDR B p XDR B ( /AAD _ CAA  I )DY B  )DY B  9D^ F F A $ Np8 BBA A(D0J (D ABBK { (D DDBO D (A ABBF S (G CBBO L 9BBA A(D0 (G ABBE l (A ABBA   $ cD[ B @ ^DX B \ XDR B x )H *I *I I A` ,K 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HHH)HHH9HHEH3HH9HGL<LHt$HL$H$Ht$H$IHL$L$0H9HLff.ff.H8HHH~H9uH)M$ID$Ht$H5HLD$H$H)LD$H$LMM$$HLHL9%L$HHIuI9fIeIH H1H=11.IIIII4ϜoC˖q?ggml_backend_dev_is_meta(dev)GGML_ASSERT(%s) failedggml_backend_is_meta(backend)index < buf_ctx->bufs.size()fatal errorsrc_ss[0].n_segments == 1src_ss[0].nr[0] == 1shape mismatch for %sggml_backend_comm_freecomm_free != nullptr0UNKNOWN23MIRROREDPARTIALNONE1vector::reservevector::_M_realloc_appendbufs.back() != nullptrGGML_META_DEBUG, split_state.n_segments == 1x[, {}]concat_axis != src_ss[1].axisconcat_axis != src_ss[0].axisggml op not implemented: %ssplit_state.ne[j] % div == 0!first_src_split_by_axisoffset == 0ggml_is_contiguous(tensor)split_state.nr[0] == 1size % chunk_size_full == 0offset_j == chunk_size_fullsplit_state.nr[0] != 0tensor->ne[3] == 1tensor->ne[2] == 1offset % row_stride == 0size % row_stride == 0offset_data*row_count == sizeoffset % chunk_size_full == 0tensor->type == GGML_TYPE_F32split_state.n_segments <= 16tensor->ne[split_dim] != 0meta_buf_ctx->bufs[i]cgraph->grads == nullptrbcj.nodes[i]i_start == cgraph->n_nodesggml_is_contiguous(node_src)ggml_is_contiguous(node_dst)/mnt/workspace/git/transcribe.cpp/ggml/src/ggml-backend-meta.cppggml_backend_buft_is_meta(buft)ggml_backend_buffer_is_meta(tensor->buffer)index < meta_dev_ctx->simple_devs.size()index < meta_buft_ctx->simple_bufts.size()ggml_backend_buffer_is_meta(meta_buf)ggml_backend_buffer_is_meta(buffer)ret.axis != GGML_BACKEND_SPLIT_AXIS_UNKNOWNggml_backend_is_meta(meta_backend)ggml_backend_buft_is_meta(meta_buft)max_alignment % alignment == 0SPLIT_STATE: {%s} -> %s[%s, %s, {%s}] ret.axis != GGML_BACKEND_SPLIT_AXIS_NONEret.ne[s*n_bufs + j] % granularity == 0ne_sum == tensor->ne[ret.axis]src_ss[i].axis != GGML_BACKEND_SPLIT_AXIS_UNKNOWNtensor->src[2] == nullptr || src_ss[2].axis == GGML_BACKEND_SPLIT_AXIS_MIRROREDsrc_ss[0].axis != GGML_BACKEND_SPLIT_AXIS_0view of permuted tensor not implementedsrc_ss[0].n_segments == 1 || src_ss[0].nr[0] == 1src_ss[0].axis != GGML_BACKEND_SPLIT_AXIS_1src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_MIRROREDsplit_states_equal(src_ss[0], src_ss[2])tensor->op_params[2*src_ss[0].axis + 0] == 0tensor->op_params[2*src_ss[0].axis + 1] == 0src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_2src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_2src_ss[2].axis == GGML_BACKEND_SPLIT_AXIS_2tensor->src[4] == nullptr || src_ss[3].axis == GGML_BACKEND_SPLIT_AXIS_MIRROREDtensor->src[4] == nullptr || src_ss[4].axis == GGML_BACKEND_SPLIT_AXIS_0src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_1src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_1src_ss[2].axis == GGML_BACKEND_SPLIT_AXIS_1src_ss[3].axis == GGML_BACKEND_SPLIT_AXIS_1src_ss[4].axis == GGML_BACKEND_SPLIT_AXIS_1src_ss[5].axis == GGML_BACKEND_SPLIT_AXIS_2 || src_ss[5].axis == GGML_BACKEND_SPLIT_AXIS_1 || src_ss[5].axis == GGML_BACKEND_SPLIT_AXIS_0split_state.ne[j]*split_state.nr[0] * tensor->src[i]->ne[src_ss[i].axis] == sum * tensor->ne[split_state.axis]split_states_equal(src_ss[0], src_ss[1])split_state.axis >= 0 && split_state.axis < GGML_MAX_DIMScannot create std::vector larger than max_size()row_start + row_count <= tensor->ne[1]split_state.ne[s*n_bufs + j] % blck_size == 0split_state.axis == GGML_BACKEND_SPLIT_AXIS_1row_start + row_count <= tensor->ne[2]ggml_nelements(tensor) == 0 || split_state.axis != GGML_BACKEND_SPLIT_AXIS_UNKNOWNsplit_dim_view_src >= 0 && split_dim_view_src < GGML_MAX_DIMS/mnt/workspace/git/transcribe.cpp/ggml/src/ggml-impl.hn_devs <= GGML_BACKEND_META_MAX_DEVICESATAUHSH_HuSH9uD:c(rHC1HtHHK H9sHCHuH@uH9s:1HH[]A\fDH_HGH9tHHH HHHH9ruD8c(r1HH[]A\AWAVAUATUSH(H|$HHD$H@HD$HeHD$LpM1M~MI_HLcMtdIl$Ht~HEHLhMt)I}HD$jLMmhHD$MuLhhHMtiLHkhHHt-HufDIl$hLHtIYI_hLHt3I%HEhHHD$HD$HtHI^hLHtIH|$hH_Ht H\$H|$hH_Ht H\$bH([]A\A]A^A_SH_HtH{HH[hHu[AUIATUSHLgH/I9trH]HtUH{HHCXH9t HCXHpH{(HC8H9t HC8HpH;Ht HsH)hHHI9uImHt IuHH[H)]A\A]H[]A\A]HUSHH@HH{H{hHCxHkH9t HCxHpH{HHCXH9t HCXHpH{ Ht Hs0H)HHuH[]fDUSHH_HtqH{H{hHCxHkH9t HCxHpH{HHCXH9t HCXHpH{ Ht Hs0H)HHt H@H[]?77DI! ! !!!!! G!(vBG x AL                 *5T -  a     h^{c\GP PPQPQQPPQQQ#P(Q(Q*P+Q,P-P06P4Q4Q6P7Q9Q:PAPEQPPPg{v9"w{ &4O ,  &G*JO &G&G $'$B$$$$$HCPDg' ' '''''' X'!N'%''&'#7rw<wmMT TTT#T%T()T*T+T.T5T7TSSTe1&!e      }G2h{ATAUHSHHfoH}D)$fo)D$fo)D$ fo)D$0fo)D$@fo)D$Pfo)D$`fo)D$pfo)$fo)$fo)$fo)$fo$AcvEsщHiQH%DkdD)AЉʉDHF D NA'wB0 vҍBGHEH]H[]A\SHHtWH{HHCXH9t HCXHpH{(HC8H9t HC8HpH;Ht HsH)H߾h[[ATIUSHoHH9t'ff.fH;Ht0HH9uI$Ht)It$HH)[]A\DHH9uD[]A\ATIUSHoHH9t'ff.fH;Ht0HH9uI$Ht)It$HH)[]A\DHH9uD[]A\H=HXHH0HHHHH}H}HXH0HHHH)HtHH=H=IHIIII}pI}HI}(L0L`H=H=H=H=H߾HH=H=LHI}IuH)HtL8ILH)HtHLIIE11H=HH0H=H8HHHHHHpH H HHHH8HHHH=HHHHH8HHH0xH|HPH=HHH0H8H(HHHPHH=HHHHH=HH0H=H8HH=H=H0HHPH0)H=HHH=HHHH=HHPH=H0H=HkHH=H=HpHH0H8HPH=H0HpHH0H=H|$ SHH=HxtH0HxHH=H=H=HxHL)MtLHHxtH0HxH=H$HD$PH$HD$Ht$HD$PH)HtHHHHXHH0HHHHH}H}HXH0H=HH=H=H=H=HIHHHH{pH{HH{(HH߾0LHHPHH=H=HHpHH HH=HLHHL)MtLHH=IH|$(Ld$(MH|$xL9tH$HpH|$XHD$H9tHD$hHpH|$0Ht$@H)HtH)HHtHLLI<$It$H)HtLhMcH=LILH|$0Ht$@H)HtMtIlH=Ld$xH=ATIUSHoHH9t/ff.fH{Ht7Hs H(H)H9uI$Ht)It$HH)[]A\DH(H9uD[]A\AVAUIATUSLgH/I9DLu@H]8I9t!H;HHI9uH]8HtHuHHH)H} Ht Hu0H)LuH]I9t.ff.H{Ht_Hs H(H)I9uH]HtiHuHHPH)I9MImHtSIu[HH)]A\A]A^DH(I9uDHI90fDHPI9[]A\A]A^HAUATUSHH9HHGHHH)HHH9rH[]A\A]@L$HoILH)H;IHCH9HpH1H H)HHHH!LHff.foZoR HHPoJ0oB@HPobXP`H@H9rHt HsH)L+LMHkLkH[]A\A]H=AWAVAULoATUSLGMH^LILIM)fMP(Ix MI)M9N4L9LH@H9HHL9H0H H9sM@MuI9tRLU(H} MI)M9L9IHLfH9HHI9H0H H9s[L]A\A]A^A_DI9tMOLH9lK49M9HMLI9u2fH9r0HHH9tHHH9sLM@0L9uID$I9@8uID$ I9@@LM@O1M9I9>7HI90JM9LLfDHIH9r:H9rHIL9uL9u#HE8I9D$uHE@I9D$ LCI[]LA\A]A^A_HL9VHAWAVAUATUSHL7LoM)LHH9HIIHEHHH9HGHHHIN|-JD-M-MuHI,$HM|$Il$H[]A\A]A^A_LLHIt$L)LIt$L)HH=vector::_M_default_appendHt[AWAVAUATUHSHHLoHGL)HH9r;HL1IDHEH[]A\A]A^A_fHLLL)IIL)H9L9ML$HLCHL$MI9LGILHL$H1IH<L$HM9t,LLff.H HHHHH9uMtHuLL)LLuIMHELuH[]A\A]A^A_H=AWHHAVAUATUSHLgLMM)LHHHH9HIIHEHHH9HGH,HHHL$L$HL$L$IHIH1IEIEHIEIEIE IE(IE0IE8IE@IEHM9It$L1H L)HHHH!HHff.@oZoR HHPoJoBHPobXP`H@H9rL$IIIPMtIvLL)IHMfI^H[]A\A]A^A_fM}8L$LL$M9!IHH=ILI} Iu0H)HtI}HHLMeta(basic_string::append,)ggml_backend_comm_initcomm_allreduce != nullptrggml_backend_dev_is_meta(meta_dev)ggml_backend_comm_allreduce_tensorAWfHGAVLw AUATUSHHHHHGGGxHLJHLJG G0G@GPG`HtIL-L9.t!H H1H=HHL`L+ LHH$fH*f(fTf.v3H,ff(%fUH*fTXfVf( f/H,HCpA11HH H4$LHLd$ L9HD$HD$MH<$iHD$HD$HD$(M9/H H1H=@HHfH H*Xf\H,HCpH{p?$LHD$LHD$ZfDIHH@H)HH9D$HD$L$Ht(H?H9CH5HLHHD$0Ht$0HH?H+CH9lHHLHHD$H9D$HHHHD$Lc(L;c0HD$HspH@ID$ID$I$ID$ID$ ID$(ID$0ID$8ID$@ID$HHpIPLc(HD$H $HD$H9HD$(Ld$Hl$HD$I)ĐH?H9CH5HH|$ w0HH|$udHH[]A\A]A^A_Hl$롐HD$H8HHH5HH|$HH)HHHuH|$HHL[]A\A]A^A_HD$H8HHH5HHuH Hm1H=HSpHL@ID$8HHD$0Lc(uHD$(Ht$HH)HHH9HHEHHH9HGL$LHt$0HT$Ht$0HT$IH 0HD0HHD$HH|$(u0K LD$(HD$WHHt$(LHL$0HL$0IHt$H|$(LD$8HL$0H)LD$8HL$0H\IPH=H:HH=H=HH=HD$Ht$HD$(H)H|$(H{XHshH)HtH{@HsPH)HtH{8HtLHHH=H|$0I|$ It$0H)Hu*I|$Ht$HD$(H)H^cH;HHD$HD$(HAWAVAUATIUSHHHWHGH)HH9HH)HD$HIIIL)H9HL9MLCMI9LGILHHJ8HHtHxH1MuH|$LI,$HDLID$Il$H[]A\A]A^A_HHzHtH1HH)HPHI|$H[]A\A]A^A_LL|$HLID$L)HH|$`It$HD$H)H=HHAWAVIAUIATUSHH_HGH)HHH9rYHffHHff.H@ 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gtg g g g g g g g)g* g+ g, g. g g8  g9, g:8 g<D g=P g>\ gnh got g 3D@@p؄g&E,E 12E"@2I TSO@Hg T@`g"pV+@80g$V@hxg&`W@`g(6W1@@xg*XX]@x g-_T@0Pg/?Hab:@`g1am@0g3 bm@0g5[bV@@g7o8kuj@ 0g9k8@Pg;l7@ @`g=e n/Pp@@xg@B2Bq`qY @gC;r9@6@HgE2tP2PuKM uLH @8gI | @PgK x~@ @`gM9 p, 4 @XxgO  @бgQ (w @xgS  @gU B @8HgWu ؉dp @HgY?@:@ȳg[)0 $@g]<ؔJ \ȕW@Xga0Е @p@ ge"h 2ggml-opt.cpp.o/ 0 0 0 644 55408 ` ELF>0@@%$(HGHHWSHH8H{@H{H{ H{0H`HtHpH)HHHtHXH)H0HtH@H)H߾[AWAVAUATUSH(H|$HHD$H@HD$HeHD$LpM1M~MI_HLcMtdIl$Ht~HEHLhMt)I}HD$jLMm0HD$MuLh0HMtiLHk0HHt-HufDIl$0LHtIYI_0LHt3I%HE0HHD$HD$HtHI^0LHtIH|$0H_Ht H\$H|$0H_Ht H\$bH([]A\A]A^A_ÐfDAWIAVAUI0ATUSHHIMIHLID$(H(Il$ L9IG H9M}L9UHHL$HL$H9h 2MuMu)ff.fIFHSIIV H9sIFHuM9LDH9M9} LHL$HL$H;h  IHÿI}(MuMuIFHIIV H9sIFHuM9u_LHL$LHL$HP IH9r\L0LHH[]A\A]A^A_ÐHxt/HLLIE(IE H9h EHÿH9t1H;k @뽐LMuMuLDIFHtIIV H9sIFHuDMM;}]L9tII;MuHBff.AVAUATUSHH HT$HIHwILwHt5LHf.H9Z HRHuHI9t H;Z HLIt$HHHl$L%ff.f.HFHHH9n rHFHHHBHyHHXHI9tH;^ sHD$HT$LHD$kHH^(H H[]A\A]A^@Lff.HFHtHH9^ rHFHtHHI9H;n  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H1H=ff.AWIAVAUATIULSHD$H|$ Ht$DL$D$D4$MD$D$DL$Ht$HD$(HEH|$ LhLHH$HIH$HIHIf/ /\fD$hI*Ld$PHD$8H|$@DL$`YD$dHt$HL|$XH,HH$HD$pHD$8HPH$$ I؉$H$fo$HD$@$fo$D$fo$D$ fo$D$0HPIL;$qPfPfo HI@H@@@(H8fHL$8fo HI@H@@@(H8E;H;$]H9$HH$L5H$HD$HLI DHL$8HEHEH;EtHEHE H;E(tHE(HE8IGII;GtIGIG I;G(tIG(IG8HT$I1H=H5HMLAVLD$HLLH5AZ A[HD$8HHD$8H9labels == nullptr)data_batch->type == dataset->data->type!labels_batch || labels_batch->type == dataset->labels->typenb_data_batch % dataset->nbs_data == 0nb_labels_batch == shards_per_batch*dataset->nbs_labels(ibatch + 1)*shards_per_batch <= int64_t(dataset->permutation.size())] data=%07ld/%07ld loss=%.5lf±%.5lf acc=%.2lf±%.2lf%% t=%02ld:%02ld:%02ld ETA=%02ld:%02ld:%02ld result->loss_per_datapoint == opt_ctx->loss_per_datapointresult->opt_period == opt_ctx->opt_periodresult->ndata == ndata*int64_t(result->loss.size()) && "varying batch size not supported"opt_ctx->loss->type == GGML_TYPE_F32opt_ctx->pred->type == GGML_TYPE_I32cannot create std::vector larger than max_size()ggml_is_scalar(opt_ctx->ncorrect)opt_ctx->ncorrect->type == GGML_TYPE_I64opt_ctx->ctx_compute && "no compute context set, either use static graphs or set one with ggml_opt_prepare_alloc"(!opt_ctx->static_graphs || opt_ctx->inputs->data) && "when using static graphs the inputs must be allocated statically"!(node->flags & GGML_TENSOR_FLAG_LOSS) && "support for extra loss terms not implemented"opt_ctx->build_type <= opt_ctx->build_type_allocopt_ctx->build_type_alloc >= GGML_OPT_BUILD_TYPE_GRADopt_ctx->build_type_alloc == GGML_OPT_BUILD_TYPE_OPTigrad_src != GGML_HASHSET_FULLggml_bitset_get(src->visited_hash_set.used, igrad_src)igrad_dst != GGML_HASHSET_FULLggml_bitset_get(dst->visited_hash_set.used, igrad_dst)ggml_opt_static_graphs(opt_ctx) && "ggml_opt_epoch requires static graphs"data->ne[1] % inputs->ne[1] == 0idata_split % ndata_batch == 0idata % dataset->ndata_shard == 0nbatch_logical % nbatch_physical == 0%s: training took %02ld:%02ld:%02ld GGML_ASSERT(%s) failedtrain: val: %s[█▉▊▋▌▍▎▏!opt_ctx->static_graphsopt_ctx->eval_readyopt_pars.adamw.alpha > 0.0fopt_pars.adamw.beta1 >= 0.0fopt_pars.adamw.beta1 <= 1.0fopt_pars.adamw.beta2 >= 0.0fopt_pars.adamw.beta2 <= 1.0fopt_pars.adamw.eps >= 0.0fopt_pars.adamw.wd >= 0.0fopt_pars.adamw.wd <= 1.0fopt_pars.sgd.alpha > 0.0fopt_pars.sgd.wd >= 0.0fopt_pars.sgd.wd <= 1.0ffatal errorggml_is_scalar(opt_ctx->loss)vector::_M_realloc_appendvector::_M_range_insertadamwsgdundefinedne_datapoint > 0ne_label >= 0ndata > 0ndata_shard > 0loss_sumloss_meanlabelsloss_cross_entropyloss_cross_entropy_scaledloss_errorloss_squared_errorloss_sum_squared_errorloss_mean_squared_errorpredncorrect%s_paramsAdamW m for %sAdamW v for %s%s step for %sresult->opt_period >= 1!result->inputs!result->outputsresult->inputsresult->outputs!opt_ctx->eval_readygraphdst->n_leafs == src->n_leafsdst->n_nodes == src->n_nodesdata->ne[0] == inputs->ne[0]idata <= dataset->ndatandata % nbatch_logical == 0val_split >= 0.0fval_split < 1.0fggml_opt_fit%s: epoch 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HH9"A(T.vH=HH51I9sfDHH9A\р|u@LI9s)ff.HHH9р|ufDLI9s*kVр|HHH9Fр|uDLI9s#HHH9р|u~fDLI9s*Vр|WHHH9р|u5DLI9sHH"H9р|ufDIt$PI9s0ifVр|HHTH9>р|uDIt$lI9s/ff.ff.HHnH9р|u^fDLI9s-Vр|7HHƐH9р|ufLI9s-Vр|HHưH9[р|uf.I$I9s'.ff.HHH9 р|u{L I9s%.HH$H9(T.vLI9s1ff.ff.DHHBH9oр|ufDLI9s!Kff.HHJH9/р|ufDLI9s! ff.HHbH9р|u^fDLI9s!ff.HH2H9р|ufDLI9s!ff.HHH9oр|ufDLI9s!Kff.HHnH9/р|ufDLI9s! ff.HHRH9р|u^fDLI9s$ff.HHƈH9р|u I9s!fD.*HH9jfAZ(T.v?@It$0I9s9fHH8H9Nf f Nf Nff ʉр|ueDI9HHEHHLfnHffһHfDofpfnLfnfpfpfoHffofuffufffofifafAffofifafDoffofH9ufoHfsfHffofsff~fofsffofsfff~@>H)HHH~A~\f~5~-ffofufffuffofafafpNfffofafafpNfffofs ff~fofs ff~HHA\E1H<ffADfHSH9sUAT<E1ffADfHH9s%AT<1ff@fօDYH=IHH511It$4I9s'1ff.fDHH6H9р|u~fDIt$@I9sfHHBH9р|u>fDLI9s!ff.HHH9>uH=Hٺ1H5XH51=H=HH51 H=I1HH5f11foAnum_neighbors > 0GGML_ASSERT(%s) failedgrid_index >= 0n_per_row%QK_K == 0Oops, did not find grid pointHave %d neighbours %dfatal errorscale >= 0n%QK_K == 0quant_weightsn_per_idist2offsetsn_per_row%QK4_NL == 0k%QK4_NL == 0%s: invalid type %d /mnt/workspace/git/transcribe.cpp/ggml/src/ggml-quants.ctype == GGML_TYPE_IQ2_XXS || type == GGML_TYPE_IQ2_XS || type == GGML_TYPE_IQ1_S || type == GGML_TYPE_IQ1_M || type == GGML_TYPE_IQ2_Sgrid_size == 256 || grid_size == 512 neighbour %d: sumqx = %g sumq2 = %g quant_weights && "missing quantization weights"kmap_q2xs && "forgot to call ggml_quantize_init()?"kgrid_q2xs && "forgot to call ggml_quantize_init()?"kneighbors_q2xs && "forgot to call ggml_quantize_init()?"Oops: found point %u not on grid:kgrid_q3xs && "forgot to call ggml_quantize_init()?"kmap_q3xs && "forgot to call ggml_quantize_init()?"kneighbors_q3xs && "forgot to call ggml_quantize_init()?"%s: invalid size %zu for type %s (type size = %zu) %s: found %d NaNs in row of %zu BF16 values %s: found %d infinities in row of %zu BF16 values ggml_validate_row_data: found inf value at block %zu ggml_validate_row_data: found nan value at block %zu ggml_validate_row_data: found invalid e value %d at block %zu ggml_validate_row_data  "%')+029<?@ABDHIMPSWY]dquz  #)8BDPRV[aegv{   ,.1:@ACFHLQX[ahjx~  "&(,AHKQXZi  !#%(*78;=@BHKORUY\bi!:=DIR_`kx   "$')39ACELQS`pz~ *04AHJUZdn{ !(8BGIKRX]cim    9 E G Q r    $ ' * 6 < A C E J Q Z z     & J V i k   0 @ P W t  # 2 @ C \ p  ,2BITce (Rb ";=ACHJQUXZalx $/;=AGZj '(@BIPR(PTfy  "ACEHJQXswx+CWa| (5:@BPYdf':@FRm+/| ) 4 U c x ! 8 @ F V m    : B Y  $ & 4 Q q $ E j *V`!@BT  "(*ADPXad@"!$@BH` Fi @(ADPR @   !@` PZ$E %Ib@Q  D a )!H!""$$$@$V$%A%d%&( ((D*@@@@!@$@@@H@V@`@@@@A AaAAABBHBVBhBDD DDDE$EFHHH@HEHIXIaIIEJJPPPP PPPQBQQRTT UVTVXXXdX@YZ``@`h`aUab`bddeeeBh A@@`F @`$@E"DQ P P  "%(ADFIPRUXad !$@BEHQT`h ADPU !$@BEHQTV` ADPa&@B  %ADPX   @ (  !$@BEHQT`j ADP@` ADIPd@I@TfQ      A D P !!!@!H!e!"""""$$$)$@$%A%R%%&&&(( ( (U(((h))* ****@@@ @@@@@!@$@@@B@E@H@J@Q@T@`@e@@@@AAAAAA AAADAPAAAABBBB)B@BDDDDDDD DADDDPDDDEEE$E@EEF FDFPFHHH@HEHTHbHIIDIPIiIJPPPPPP P(PAPDPPPPQQQQ@QBQRDRRTTT!T@T`TTTUUUU!VhVVXXAXPXXY@YBYZ```@`T`b```a$bJbbdde@eEeehjh%ijTjbj *ADP@QY @`Dj%Z"@V"dVDPX)AQI` *QY*@e "((*  "%(ADFIPRUXadfi !$@BEHQTVY`eh *ADFIPU !$&)@BEHJQTVY`be  %(ADFIPRUXad @EHQT` %*ADFIPRUXad      ! @ E H Q T `   " ( * P  !$&@BEHQTVY`beh  "%(ADFIPRUXad !$@EQT %(ADFIPRUXad !$@BEHQT` ADP !@BEHQT` ADPi@V        % * A D P R U d !!!!!!!@!B!E!Q!T!`!!!!" 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~HPHHHHL+ff.ff.DHPHHЃx ~HPHHLAU$ItTv BIM(IuH<$HL9tx ff. fDHL9MJLD$HHD$LD$HD$HHIHD$H~1HPLD$IE@LHT$HHHH HHJH9uIuLl$LH<$LHt$LfIuH<$11zf.HL9x I}(IM01Hp(H)HHHeH9;HIuH<$@HL9x I}(IM01Hp(H)HHH H9IuH<$I}(IM01Hp(H)HHHH9IuH<$HL9x  I}(IM01Hp(H)HHHuH9KIuH<$-DHL9x I}(IM01Hp(H)HHHH9IuH<$@HL9dx ZI}(IM01Hp(H)HHHH9IuH<$|@HL9 x I}(IM01Hp(H)HHHmH9CIuH<$%DHL9x I}(IM01Hp(H)HHHH9IuH<$@HL9\x RI}(IM01Hp(H)HHHH9HIuH<$t@HL9H I}(IM01Hp(H)HHHuhH9rBIuH<$#HD$'fH4H=1H H1H=H H1H=HQH=1H H1H=HHfUHAWAVIAUATISHH(X@ fI~ H@HH5@@(foH@HH@P@8w,1H k1HeH[A\A]A^A_]@E1IILxfDH@H(Hx H8LH)dHIM9uAGA~GA~UA~FLH(HDž@HDžHHx ;H81HǺHcH EfdZ H(Hx HHHkHHI/ I9m H(Hx HH@kH@I袋.I9HCE1HHpHHHI9HHHDžxH(ƅHpHDžP L{HKH.袋.HxL)HHHpHIH(E1HL(HHH(LIH9t.ff.M;gH(H(IXH9uHHLH(DžLPHHH(LPHHH(LPHHH(lLPHHH(FLPHHH( LPHHH(LPHHH(LPHHH(LPHHH(LPHHH(bLPHHH( 0GGML_ASSERT(%s) failedtotal_nread <= nbytes_remainvector::_M_realloc_appendctx->kv[key_id].is_arrayctx->kv[key_id].get_ne() == 1data_string.size() >= i+1tensor not found: %sinvalid typefilegguf_write_to_file_ptrwbgguf_write_to_filetensorduplicate tensor name: %sgeneral.alignmentgguf_init_from_reader%s: failed to read magic %s: bad GGUF version: %u %s: failed to read header GGUF tensor data binary blob%s: failed to create tensors rbgguf_init_from_fileu8i8u16i16u32i32f32boolstrarru64i64f64/mnt/workspace/git/transcribe.cpp/ggml/src/gguf.cppbasic_string: construction from null is not validkey_id >= 0 && key_id < gguf_get_n_kv(ctx)ctx->kv[key_id].get_type() != GGUF_TYPE_STRINGctx->kv[key_id].get_type() == GGUF_TYPE_STRINGctx->kv[key_id].data.size() % type_size == 0type_to_gguf_type::value == typedata.size() >= (i+1)*type_sizetensor_id >= 0 && tensor_id < gguf_get_n_tensors(ctx)tensor->ne[0] % blck_size == 0 && "tensor row size not divisible by block size of new type"%s: failed to write GGUF data: %s %s: failed to open file '%s' for writing GGUF data %s: failed to write GGUF data into '%s' general.alignment must be type u32val > 0 && (val & (val - 1)) == 0 && GGUF_KEY_GENERAL_ALIGNMENT " must be power of 2"data.size() % new_type_size == 0%s: invalid magic characters: '%c%c%c%c', expected 'GGUF' %s: failed to load model: this GGUF file version %u is extremely large, is there a mismatch between the host and model endianness? %s: GGUFv1 is no longer supported, please use a more up-to-date version %s: this GGUF file is version %u but this software only supports up to version %d %s: number of tensors is %li but must be in [0, %zu] %s: number of key value pairs is %li but must be in [0, %zu] %s: duplicate key '%s' for tensors %zu and %li %s: key '%s' has invalid GGUF type %d %s: failed to read key-value pairs int64_t(ctx->kv.size()) == n_kv%s: alignment %zu is not a power of 2 %s: tensor name %li is too long: %zu >= %d %s: duplicate tensor name '%s' for tensors %li and %li %s: tensor '%s' has invalid number of dimensions: %u > %u %s: tensor '%s' dimension %u has invalid number of elements: %li < 0 %s: total number of elements in tensor '%s' with shape (%li, %li, %li, %li) is >= %li %s: tensor '%s' has invalid ggml type %d. should be in [0, %d) %s: tensor '%s' of type %d (%s) has %ld elements per row, not a multiple of block size (%ld) %s: tensor '%s' with shape (%li, %li, %li, %li) has a size in bytes > %zu %s: failed to read tensor info int64_t(ctx->info.size()) == n_tensors%s: failed to seek to beginning of data section %s: tensor '%s' has offset %lu, expected %zu %s: failed to read tensor data %s: tensor '%s' size overflow, cannot accumulate size %zu + %zu %s: failed to initialize ggml context for storing tensors %s: memory size overflow while allocating ggml context %s: failed to read tensor data binary blob %s: encountered length_error while reading key %li %s: encountered bad_alloc error while reading key %li %s: encountered length_error while reading tensor name %li %s: encountered bad_alloc error while reading tensor name %li %s: failed to open GGUF file '%s' (%s) PH=H=HI9tJHH H$H9tH$HHH H$HHHHHt$HHH DHH$HH$L|$ LH1LL$ HLH5LL$HL$LH$LLH5LL$HLLHLLLLH|$ H<$HH5HHLILLMLH|$ H<$HLIHLIIII붿DHH$HH$L|$ LH1LL$ HLH5LL$HL$LH$LLH5LL$HLLHLLLLH|$ H<$HH5HD$DHH$HH$H$@t$IHHD$ H1LL$ HLH5LL$HL$LH$LLH5LL$HLLHLLLLH|$ H<$HH5HHLILLMLH|$ H<$HLHLILLMLH|$ H<$HLIIIIIZIZI]I]DHH$HH$H$@DIHHD$ H1LL$ HLH5LL$HL$LH$LLH5LL$HLLHLLLLH|$ H<$HH5HADHH$HH$L|$ DLH1LL$ HLH5LL$HL$LH$LLH5LL$HLLHLLLLH|$ H<$HH5HLHD$L|$LMLLMH|$ H<$HHLILLMLH|$ H<$HLIIIIIZI]I]I`DHH$HH$L|$ LH1LL$ HLH5LL$HL$LH$LLH5LL$HLLHLLLLH|$ H<$HH5HH=HLILLMLH|$ H<$HLIIIƿDHH$HH$H$@DIHHD$ H1LL$ HLH5LL$HL$LH$LLH5LL$HLLHLLLLH|$ H<$HH5HMt HLH=@CFIHuFHHPHH5H11HD$H|$HuTHHPHH5H1L1HH51HHH=LHH<$Ht$H)HtHH<$Ht$H)HtHH=LHH{@H{(Hs8H)Hu(HLHLHH{@H{(Hs8H)Hu(HLHLHH{@H{(Hs8H)Hu(HLHLHH{@H{(Hs8H)Hu(HLHLHH{@H{(Hs8H)Hu(HLHLHH{@H{(Hs8H)Hu(HLHLHH{@H{(Hs8H)Hu(HLHLHH{@H{(Hs8H)Hu(HLHLHH{@H{(Hs8H)Hu(HLHLHH{@H{(Hs8H)Hu(HLHLHH{@H{(Hs8H)Hu(HLHLHLH{(Hs8H)HtHHLLHLH H|$HI~@I~(Iv8H)Hu6LH|$Ht HHLH=H=HH{(Hs8H)HtHLH|$LHH|$HH=H|$uHHt$H|$HHHHHHt HtlH>L=1HLH5E1HHHLHL=1HLH5HL1L=H5LHL1L=H5LH=HH=Hvector::_M_range_insertAWAVIAUATUSH(HFLI9LoL)IHImIEH)H9IEH)HD$HHH)H9H9ILCIrMHI9IFHLD$HD$HT$LD$IHHD$HHt$LHLD$HLD$I<,HLH,IuH|$H)HD$MeImMIEIGL)IFH([]A\A]A^A_HLHHImMHImIG@HD$E17tvLHHLHHH|$V@H,/AHo yAEImLfHD$Il$A$H~(HHLHrAEfHHAIl$AD$H=SH_HtH{HH[0Hu[SH_HtH{HH[0Hu[vector::_M_fill_insertAWAVAUATUSH8D$HL_IH7I͋OHLH)IHHG H)HH)L9N)MIB?IIHILH?IH:IA?I)LyIz@LJLAAL)L|$H4L)IH~LLT$EAMDILHM#I H I HuLT$HD$LHH?HIHM2&51+}}UC215/}}eU2 3  5     ^    }}Q>2%51}}Q>2%51}}Q>2'51}}I8l.5`}}QA$+0$}}Q>2&51}}Q>2&51}}Q>2'51}}aO-++++  +++'+(}}1&`r}} AVAUAATAIUSHHDE HKY8m4<D'HHCH ÉуcwčCIT$AD$D40LI$LID$foI $)$fo-L)D$fo)D$ fo)D$0fo)D$@fo)D$Pfo)D$`fo)D$pfo)$fo)$fo)$fo)$fo$cv|ff.HiQH%kd)Չx<<@<S'wāw,0@)I$Mt$B0HL[]A\A]A^DE,,AfDCtDCdDWHGHGDvHLGI $-LfAUATUHSHHH  HKY8m4A9HH'HAHH HHHcwEeMHCCLHHHCfoH3AM)$fo)D$fo)D$ fo)D$0fo)D$@fo)D$Pfo)D$`fo)D$pfo)$fo)$fo)$fo)$fo$HcvpH(\(ff.@HHHHHIHILHHH)HLAHDLF DABH'wE0H vHD,F,HLcB HH[]A\A]fEeMi@EeMY@EMAAfT9HPPST>T9HPH=unexpected fputc result '' instead of ''AWAVAUATU@SHHHwHC9uH[]A\A]A^A_ÿH\$pAHHl$H$DHH1HLd$0HLH5LLl$PHL$LHLLH5LL$HLH<$LLLLLHHHH<$H5I>HD$III LL|$LLMLHHH<$Lunexpected fwrite number of bytes written, 'AWAVAUATUHSHHH>HVHKH)HUH+UHSH9uH[]A\A]A^A_ÿH\$pIHuHH+uH$Hl$LHH1HLd$0HLH5LLl$PHL$LHLLH5LL$HLH<$LLLLLHHHH<$H5HGHD$I LL|$LLMLHLHH<$HIIHIwritten_bytes - offset_data == info.offsetcannot create std::vector larger than max_size()ggml_is_contiguous(&info.t)info.t.dataAWAVAUATUSH(HGH)H;PJHHIHRLIHbfD$HLN< H$IHxL|$HujI~H|$ttL1LLHH 1HHC1HHuMtSH(LL[]A\A]A^A_f.1LI~H|$uIHt9LL냐H([]A\A]A^A_ÐH$E11HD$;H H:1H=H H11H=H H3H=H H=Mt LLHHAWAVAUATUSHLwL/MM)LHH9H۸IHHEHHH9HGHHHT$HT$J<8HHGH2HHBHHM9ttM)IUHND5.ff.H0H2HpHHH H L9tEHxHJH8HrH9uHshHN뻐Iff.fMp MtIt$LL)I,$HMt$Il$H[]A\A]A^A_L LANT NTLHIIL)I)w1AO4O49rHNfDD DADL fDL.D DDL DLHdI H=HHLATHGIUHSHUHHH6HfC C(C8CHH}C$tHk@LH[]A\H H1H=Hk@IHH{(Hs8H)HtHLH/ 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1H|I~H[]A\A]A^A_H1H{LHLIvL)Lbf.IvL)H=HOHHH)H9rH9s HH9tHG@H)AWHH.袋.AVAUATUSH8LL/LL)HHHH]tE]tH9HIHEH\H]tE]tH9HGHL4PILH $Ht$H $Ht$H|$HHH|$H6$HCHt$HT$HHHfC H{(H|$C$C(C8CHHC($H|$HD$ H9tHD$ HpLHHM9uOfH HHHJHxH HzHXHXJȋH̉JoHo@oPJRBL9tXHrHxH2HH9uHxLOAAEt9@>AtEBL fBLHxoH.袋HXL)HHHH!HHHPH\HXMtIt$LL)I,$LI\$Il$H8[]A\A]A^A_H9H>DLT9LT>HzHH)AH)AAA1ANND9r9Eɉ>BL BLHxIH H1H=IH)H{@H{(Hs8H)HtHLH|$HLHH=HAWHH.袋.AVAUATUSH8LL/LL)HHHH]tE]tH9HIHEH\H]tE]tH9HGHL4PILH $Ht$H $Ht$H|$HHH|$H6$HCHt$HT$HHHfC H{(H|$C$C(C8CHHC($H|$HD$ H9tHD$ HpLHHM9uOfH HHHJHxH HzHXHXJȋH̉JoHo@oPJRBL9tXHrHxH2HH9uHxLOAAEt9@>AtEBL fBLHxoH.袋HXL)HHHH!HHHPH\HXMtIt$LL)I,$LI\$Il$H8[]A\A]A^A_H9H>DLT9LT>HzHH)AH)AAA1ANND9r9Eɉ>BL BLHxIH H1H=IH)H{@H{(Hs8H)HtHLH|$HLHH=HAWHH.袋.AVAUATUSH8LL/LL)HHHH]tE]tH9HIHEH\H]tE]tH9HGHL4PILH $Ht$H $Ht$H|$HHH|$H6f$HCHt$HT$HHHfC H{(H|$C$C(C8CHHC($fH|$HD$ H9tHD$ HpLHHM9uMH HHHJHxH HzHXHXJȋH̉JoHo@oPJRBL9tXHrHxH2HH9uHxLOAAEt9@>AtEBL fBLHxoH.袋HXL)HHHH!HHHPH\HXMtIt$LL)I,$LI\$Il$H8[]A\A]A^A_H9H>DLT9LT>HzHH)AH)AAA1ANND9r9Eɉ>BL BLHxIH H1H=IH)H{@H{(Hs8H)HtHLH|$HLHH=HAWHH.袋.AVAUATUSH8LL/LL)HHHH]tE]tH9HIHEH\H]tE]tH9HGHL4PILH $Ht$H $Ht$H|$HHH|$H6f$HCHt$HT$HHHfC H{(H|$C$C(C8CHHC($fH|$HD$ H9tHD$ HpLHHM9uMH HHHJHxH HzHXHXJȋH̉JoHo@oPJRBL9tXHrHxH2HH9uHxLOAAEt9@>AtEBL fBLHxoH.袋HXL)HHHH!HHHPH\HXMtIt$LL)I,$LI\$Il$H8[]A\A]A^A_H9H>DLT9LT>HzHH)AH)AAA1ANND9r9Eɉ>BL BLHxIH H1H=IH)H{@H{(Hs8H)HtHLH|$HLHH=HAWHH.袋.AVAUATUSH8LL/LL)HHHH]tE]tH9HIHEH\H]tE]tH9HGHL4PILH $Ht$H $Ht$H|$HHH|$H6$HCHt$HT$HHHfC H{(H|$C$C(C8CHHC($H|$HD$ H9tHD$ HpLHHM9uQ@H HHHJHxH HzHXHXJȋH̉JoHo@oPJRBL9tXHrHxH2HH9uHxLOAAEt9@>AtEBL fBLHxoH.袋HXL)HHHH!HHHPH\HXMtIt$LL)I,$LI\$Il$H8[]A\A]A^A_H9H>DLT9LT>HzHH)AH)AAA1ANND9r9Eɉ>BL BLHxIH H1H=IH)H{@H{(Hs8H)HtHLH|$HLHH=HAWHH.袋.AVAUATUSH8LL/LL)HHHH]tE]tH9HIHEH\H]tE]tH9HGHL4PILH $Ht$H $Ht$H|$HHH|$H6$HCHt$HT$HHHfC H{(H|$C$C(C8CHHC($H|$HD$ H9tHD$ HpLHHM9uQ@H HHHJHxH HzHXHXJȋH̉JoHo@oPJRBL9tXHrHxH2HH9uHxLOAAEt9@>AtEBL fBLHxoH.袋HXL)HHHH!HHHPH\HXMtIt$LL)I,$LI\$Il$H8[]A\A]A^A_H9H>DLT9LT>HzHH)AH)AAA1ANND9r9Eɉ>BL BLHxIH H1H=IH)H{@H{(Hs8H)HtHLH|$HLHH=HAWHH.袋.AVAUATUSH8LL/LL)HHHH]tE]tH9HIHEHlH]tE]tH9HGHL4PILH $Ht$H $Ht$H|$H|$HHH6$HCHt$HT$HHHfC H{(H|$C$C(C8CHHC($$ H|$HD$ H9tHD$ HpLHHM9uQ@H HHHJHxH HzHXHXJȋH̉JoHo@oPJRBL9t`HrHxH2HH9uHxLOAAEt9@>AtEBL fBLHxoH.袋HXL)HHHH!HHHPH\HXMtIt$LL)I,$LI\$Il$H8[]A\A]A^A_H9H>DLT9LT>HzHH)AH)AAA1ANND9r9Eɉ>BL BLHxIH H1H=IH)H{@H{(Hs8H)HtHLH|$HLHH=HAWHH.袋.AVAUATUSH8LL/LL)HHHH]tE]tH9HIHEH\H]tE]tH9HGHL4PILH $Ht$H $Ht$H|$HHH|$HH6H$HCHt$HT$HHHfC H{(H|$C$ C(C8CHHC(H$HH|$HD$ H9tHD$ HpLHHM9uMH HHHJHxH HzHXHXJȋH̉JoHo@oPJRBL9tXHrHxH2HH9uHxLOAAEt9@>AtEBL fBLHxoH.袋HXL)HHHH!HHHPH\HXMtIt$LL)I,$LI\$Il$H8[]A\A]A^A_H9H>DLT9LT>HzHH)AH)AAA1ANND9r9Eɉ>BL BLHxIH H1H=IH)H{@H{(Hs8H)HtHLH|$HLHH=HAWHH.袋.AVAUATUSH8LL/LL)HHHH]tE]tH9HIHEH\H]tE]tH9HGHL4PILH $Ht$H $Ht$H|$HHH|$HH6H$HCHt$HT$HHHfC H{(H|$C$ C(C8CHHC(H$HH|$HD$ H9tHD$ HpLHHM9uMH HHHJHxH HzHXHXJȋH̉JoHo@oPJRBL9tXHrHxH2HH9uHxLOAAEt9@>AtEBL fBLHxoH.袋HXL)HHHH!HHHPH\HXMtIt$LL)I,$LI\$Il$H8[]A\A]A^A_H9H>DLT9LT>HzHH)AH)AAA1ANND9r9Eɉ>BL BLHxIH 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