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Martin Chang 082b326fc7 ggml-et: Initial ET backend (#24179) 
* ggml-et: Add performance logging

* ggml-et: Quants helpers

* ggml-et: Add MUL_MAT kernel

* ggml-et: Add ROPE kernel

* ggml-et: Add RMS_NORM kernel

* ggml-et: Add GLU kernel

* ggml-et: Add SOFT_MAX kernel

* ggml-et: Add GET_ROWS kernel

* ggml-et: Add CONT kernel

* ggml-et: Add SET_ROWS kernel

* ggml-et: Add MUL_MAT_ID kernel

* ggml-et: Build et kernels as part of ggml

* ggml-et: Embed kernels with fs fallback

* ggml-et: Build fixes

* ggml-et: Add MUL_MAT F32xF32 op

* ggml_et: Add MUL_MAT_ID op

* ggml-et: Disable offloading for debug

* ggml-et: Refactor out block ops

* ggml-et: ggml backend API changes

* ggml-et: Add RESHAPE/TRANSPOSE to supported

* ggml-et: Add CONT_F16

* ggml-et: Add supported ops doc

* gglm-et: Initial doc

* ggml-et: Remove  runtime import hacks

We can now import the runtime by a simple find_package(), so we
can cleanup the CMakeLists.txt.

* ggml-et: Fix GET_ROWS kernel

Fix lost batch dimension.

Also clean vibe-comments.

* ggml-et: Fix SET_ROWS kernel

Remove incorrect broadcasting guard.

* ggml-et: Use custom instruction for fp32->fp16

* ggml-et: Vectorize set_rows fp32->fp16

* ggml-et: Fix ROPE kernel (yarn)

ggml-et: fix et_logf

WIP: Fix ramp

WIP: fix ROPE!

* ggml-et: Better sinf

* ggml-et: Fix SOFT_MAX

Add `max_bias` and `sink` support.

* ggml-et: Fix CONT

Reorder from contiguous write to read with atomic stores.

* ggml-et: Fix elmap kernel

Remainder handlin

* ggml-et: Fix MUL_MAT MUL_MAT_ID remainders

* ggml-et: Fix ET-SOC reference

* ggml-et: Fix embed kernels scripts for old python

This allows GGML-ET to build on pre-3.8 python.

* Add sysemu support with compile time flag `-DGGML_ET_SYSEMU=ON` (#6)

* Example using ET-Soc-1 emulator configuration

Example usage:
```bash
cmake -B build -DGGML_CUDA=OFF -DGGML_ET=ON -DLLAMA_CURL=OFF -DGGML_CCACHE=ON
cmake --build build --config Release -j $(nproc)

time ./build/bin/test-backend-ops

./build/bin/llama-server \
    --model Qwen3-0.6B-Q8_0.gguf \
    --alias Qwen3-0.6B-Q8_0 \
    -fa 0 \
    --ctx-size 1024 \
    --no-warmup \
    --host 127.0.0.1 \
    --port 8080
```

* build: proper dep tracking for kernels

* support host using MOLD linker

* initial multi core GET_ROW F32 implementation

* vectorized q8 dequant

* wip: cland warning clenaups and initial logging refactor

* wip: message default message cleanup

* chore: message cleanups

* cmake cleanup

* migrate to use platform provided functions

* cmake back into subdir

* support et_print() in kernels

* fix: repair kernel building

* perf: operations run async by default

* debug: proper kernel dep tracking and error detection on kenrel launch

* fix: kernel binary dep tracking and fixing get_rows_f32 erroring

* perf: back to doing async kernel runs by default

* perf: vectorize and parallel device memset

* merge matmul work

* misc: align allocation and enable all offload

* misc: delete deadcode and respect memory limits

* fix: repair tensor debug print

* fix: loosen RMS_NORM op percision

* feat: Q4_0 GET_ROWS

* perf: FP32 MUL_MAT using TensorFMA

* update limitations

* perf: redue L1 load in compute_block_dot_product_q8_0

* feat: save kernel mapping (name to id) when profiling is enabled

* chore: memops cleanup

* perf: parallelize softmax by rows

* perf: vectorize 2nd phase of softmax

* perf: ban GET_ROWS from offloaded

* perf: vectorize and non-atomic for eltwise ops and sub support

* perf: vectorize normal rope

* perf: glu runs in parallel

* merge: manually merge saqib's work on kernel fixes

* perf: more vectorized RoPE

* perf: parallelize mul_mat_id

* perf: parallelize set_rows_f32

* perf: vectorize softmax

* feat: support kernel fusion and fuse RMS_NORM + MUL

* fix: mostly resolve test-backend-ops failure in SOFT_MAX and ROPE

* fix: bump max rope dims for gemma

* feat: GeGLU and SCALE support to fully offload Gemma

* perf: faster device memset

* feat: get_rows supporting Q4_K and avoid cont cache coherent issues

* better F32 MM

* feat: NORM for ET backend

* feat: SQR for ET backend

* feat: UNARY on ET

* feat: el_map support broadcasting for ET

* feat: SUM_ROWS in ET backend

* feat: more ops in ET backend

* feat: WKV* operators in ET backend

* perf: parallelize operators across cacheline instead of row

* perf: parallelize get_rows on cacheline

* wip: baseline FlashAttention for ET backend

* wip: enough FA and CPY f32->f16 to run llama 3.1 fully offloaded with FA on

* feat: f16 x f16 -> f32 MM using matrix engine

* wip: f16 FlashAttention using matrix engine

* wip: clean up

* feat: barriers

* perf: optimize FA_F16 in ET

* perf: vectorize pack_k_for_transpose16

* perf: prefetch next loop matrix tile

* perf: FlashAttention 2nd MM uses TensorFMA and optimizations

* cleanup: flashattention reorg

* perf: optimizations and fixes

* feat: L2SCP API and make FlashAttention support DV = 256 for gemma

* perf: parallelize norms beyond single row

* feat: GATED_DELTA_NET support and relaxed L2_NORM requirment

* feat: loosen RMS_NORM, NORM, ROPE contingous req too

* feat: repeat supports brocasting on dim 0 and loosen cont check

* feat: FILL and DIAG operator

* feat: loosen UNARY support chcek

* feat: TRI support

* feat: SOLVE_TRI support

* feat: basic SET support

* feat: loosen CONT req

* perf: fp16_to_fp32 use ASM

* feat: IMROPE support

* feat: PAD support

* feat: global barrier

* fix: view must live on the same backend as backing tensor

* feat: relax CONCAT in ET backend

* feat: dead simple CUMSUM implementation

* feat: basic SSM_CONV support

* feat: loosen CONCAT req

* feat: relax GATED_DELTA_NET and add SET support proper

* cleanup: cleanup LCM math

* feat: SWIGLU single input

* feat: SSM_SCAN support

* feat: el_map supports non aligned tensors in best effort

* feat: basic GROUP_NORM support

* feat: loosen MUL_MAT capablities slightly

* feat: loosen MUL_MAT and GET_ROWS and add IM2COL

* feat: special case for softmax 1x1x1x1

* feat: loosen SOFT_MAX req in ET backend

* fix: el_map unaligned acse fixes

* perf: optimize zero_acc_vec in flash_attn_ext_f16_me

* perf: use hart 1 for packing in MM and FA for FP16

* feat: kernel semaphore

* perf: better instruction sequence in FlashAttention

* fix: gated_delta_net with proper masking

* perf: better parallelization for GATED_DELTA_NET

* perf: parallelize SSM_CONV over nr

* perf: vectorize SSM_CONV

* perf: optimize MUL_MAT for q8

* feat: support Gemma 4

* fix: support multi-device

* feat: broader GLU support

* feat: unary ops supports view

* fix: repair fp16 MM using matrix engine

* perf: handle large N GEMV better

* perf: better q8_0 MM

* perf: better set_rows

* add back deleted files

* fix: repair after merge

* feat: POC version of uberkernel

* feat: RMS_NORM in uberkernel

* feat: add more kernels into usage

* chore: clean up uberkernel compilation

* perf: faster flash attention

* perf: opt flash attention for large seq length

* feat: loosen op bounds. clamp and mean support

* perf: vectorize ssm_scan

* perf: slightly faster FA

* perf: FlashAttention parallel MM and load

* perf: fuse Q8 MM and ADD

* feat: basic conv kernel for ET

* softMAx_test

* set_rows_f32

* get_rows and cont

* testing

* set_rows_exp

* Junk addition

* Narrowing the issue

* Update flash_attn_ext_f16_me.c

Focusing FA_ext_f16_me

* test

* Eviction updated

* Detailed cache eviction debug

* mulmat

* removeal of `BUILD_FOR_UBERKERNEL` flag

* cleaning...

* fix: balance FCC0 count

* feat: implement mul_mat and mul_mat_id for Q4_0 type

* optimize uberkernel plan upload

* add mul_mat q4 into uberkernel

* enable gating flush to just uberkernel

* update docs for ET

* update op support for ET

* et-backend: optimize Q4_0 and Q8_0 mul_mat_id row accumulations

* et-backend: specialize mul_mat_id kernels for Q4_0 and Q8_0

* et-backend: fix RoPE YaRN corr_dim formula and handle degenerate inputs

* test-backend-ops: add DeepSeek-V2-Lite RoPE test coverage

* et-backend: add Q4_0 mul_mat matrix-engine kernel using TensorFMA32

* et-backend: vectorize Q4_0 matrix-engine dequantization

* et-backend: support hybrid matrix/vector engine execution for Q4_0 mul_mat tail

* et-backend: run partial-N tiles on matrix engine for Q4_0 mul_mat

* et-backend: route Q4_0 mul_mat N < 53 to vecdot for better prefill latency

* Update uberkernel.c

* Update unary_f32.c

* gemma 4

* bisect gemma4: enable scale_f32 only

* bisect gemma4: +rms_norm_f32

* bisect gemma4: +rms_norm_mul_f32

* bisect gemma4: disable rms_norm_mul_f32 -- BREAKS OUTPUT

* bisect gemma4: +rope_f32 (skip rms_norm_mul)

* bisect gemma4: +el_map_f32

* bisect gemma4: +softmax_f32

* bisect gemma4: +get_rows_f32

* bisect gemma4: +glu_f32

* bisect gemma4: +mul_mat_f32 +mul_mat_f32_matrix_engine

* bisect gemma4: +mul_mat_f16 +mul_mat_f16_matrix_engine

* bisect gemma4: +mul_mat_Q8_0 +mul_mat_Q4_0

* bisect gemma4: +flash_attn_ext_f32 +flash_attn_ext_f16_me

* bisect gemma4: +mul_mat_id_f32

* bisect gemma4: +sum_rows_f32

* bisect gemma4: +cont_f16

* bisect gemma4: +fill_f32

* bisect gemma4: +unary_f32 (all ops re-enabled except rms_norm_mul)

* Update rms_norm_mul_f32.c

* bisect2 gemma4 n64: +scale_f32 only

* bisect2 gemma4 n64: +rms_norm_f32 +rope_f32

* bisect2 gemma4 n64: +rms_norm_mul_f32 (with ET_UBERKERNEL eviction fix)

* bisect2 gemma4 n64: +el_map +get_rows +glu +softmax (skip rms_norm_mul)

* bisect2 gemma4 n64: all ops enabled except rms_norm_mul

* bisect2 n64: test unary+cont+fill+sum_rows (no mul_mat/flash_attn)

* bisect2 n64: +mul_mat_f32 +mul_mat_f32_matrix_engine

* bisect2 n64: +mul_mat_f16 +mul_mat_f16_matrix_engine

* bisect2 n64: +mul_mat_Q8_0 +mul_mat_Q4_0

* bisect2 n64: +mul_mat_Q8_0 only (disable Q4_0)

* bisect2 n64: +mul_mat_Q4_0 only (Q8_0 breaks)

* bisect2 n64: +mul_mat_id +flash_attn_ext (skip Q8_0)

* run-3: matmul + rms_norm_mul

* run-4

* Revert "run-4"

* run5

* changes after cleanup

* cleanup before upstream

* restrict changes into ET backend

* move kernel embedding from Python to CMake

* move uberkernel gen into CMake

* apply clang format

* update CMake style

* update to match C and C++ style

* use source ggml and quant headers instead of ET's

* MROPE support

* absorb view ops into same branch as none

* fix bad rebase

* add marty1885 to codeowners

* oops

* remove redundant newline

* fix CI editor warnings

---------

Co-authored-by: Vidas <vidas@nuolat.lt>
Co-authored-by: Gianluca Guida <glguida@tlbflush.org>
Co-authored-by: Gianluca Guida <gianluca@nekko.ai>
Co-authored-by: ubergarm <leimgrub@gmail.com>
Co-authored-by: SaqibAkram-10xE <saqib.akram@10xengineers.ai>
Co-authored-by: Rehan Qasim <rehan.qasim@10xengineers.ai>
2026-07-10 12:38:34 +08:00

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# collaborators can optionally add themselves here to indicate their availability for reviewing related PRs
# multiple collaborators per item can be specified
#
# ggml-org/ci : CISC, danbev, ggerganov, netrunnereve, ngxson, taronaeo
# ggml-org/ggml-cann : hipudding
# ggml-org/ggml-cuda : JohannesGaessler, am17an, IMbackK, ORippler
# ggml-org/ggml-hexagon : lhez, max-krasnyansky
# ggml-org/ggml-metal : ggerganov
# ggml-org/ggml-opencl : lhez, max-krasnyansky
# ggml-org/ggml-rpc : rgerganov
# ggml-org/ggml-sycl : arthw
# ggml-org/ggml-vulkan : 0cc4m, jeffbolznv
# ggml-org/ggml-webgpu : reeselevine, yomaytk
# ggml-org/ggml-zdnn : taronaeo
# ggml-org/llama-common : ggerganov, aldehir, angt, danbev, ngxson, pwilkin
# ggml-org/llama-mtmd : ngxson
# ggml-org/llama-server : ggerganov, ngxson, allozaur, angt, ServeurpersoCom
# ggml-org/llama-ui : allozaur
/.devops/*.Dockerfile @ngxson
/.github/actions/ @ggml-org/ci
/.github/workflows/ @ggml-org/ci
/ci/ @ggerganov
/cmake/ @ggerganov
/common/ @ggml-org/llama-common
/common/fit.* @JohannesGaessler
/common/jinja/ @CISC
/common/ngram-map.* @srogmann
/conversion/ @CISC
/convert_*.py @CISC
/docs/backend/snapdragon/ @ggml-org/ggml-hexagon
/examples/batched.swift/ @ggerganov
/examples/batched/ @ggerganov
/examples/convert-llama2c-to-ggml/ @ggerganov
/examples/debug/ @danbev @pwilkin
/examples/deprecation-warning/ @ggerganov
/examples/diffusion/ @am17an
/examples/embedding/ @ggerganov
/examples/eval-callback/ @ggerganov
/examples/export-docs/ @ggerganov
/examples/gen-docs/ @ggerganov
/examples/gguf/ @ggerganov
/examples/llama.android/ @ggerganov @hanyin-arm @naco-siren
/examples/llama.swiftui/ @ggerganov
/examples/llama.vim @ggerganov
/examples/lookahead/ @ggerganov
/examples/lookup/ @JohannesGaessler
/examples/model-conversion/ @danbev
/examples/parallel/ @ggerganov
/examples/passkey/ @ggerganov
/examples/retrieval/ @ggerganov
/examples/speculative-simple/ @ggerganov
/examples/speculative/ @ggerganov
/ggml/cmake/ @ggerganov
/ggml/include/ @ggerganov
/ggml/src/ggml-backend-meta.cpp @JohannesGaessler
/ggml/src/ggml-cann/ @ggml-org/ggml-cann
/ggml/src/ggml-common.h @ggerganov
/ggml/src/ggml-cpu/ @ggerganov
/ggml/src/ggml-cpu/spacemit/ @alex-spacemit
/ggml/src/ggml-cuda/ @ggml-org/ggml-cuda
/ggml/src/ggml-cuda/vendors/hip.h @IMbackK
/ggml/src/ggml-cuda/fattn-wmma* @IMbackK
/ggml/src/ggml-hexagon/ @ggml-org/ggml-hexagon
/ggml/src/ggml-hip/ @IMbackK
/ggml/src/ggml-et/ @marty1885
/ggml/src/ggml-impl.h @ggerganov
/ggml/src/ggml-metal/ @ggml-org/ggml-metal
/ggml/src/ggml-opencl/ @ggml-org/ggml-opencl
/ggml/src/ggml-openvino/ @cavusmustafa @wine99
/ggml/src/ggml-opt.cpp @JohannesGaessler
/ggml/src/ggml-quants.* @ggerganov
/ggml/src/ggml-rpc/ @ggml-org/ggml-rpc
/ggml/src/ggml-sycl/ @ggml-org/ggml-sycl
/ggml/src/ggml-threading.* @ggerganov
/ggml/src/ggml-virtgpu/ @kpouget
/ggml/src/ggml-vulkan/ @ggml-org/ggml-vulkan
/ggml/src/ggml-webgpu/ @ggml-org/ggml-webgpu
/ggml/src/ggml-zdnn/ @ggml-org/ggml-zdnn @Andreas-Krebbel @AlekseiNikiforovIBM
/ggml/src/ggml-zendnn/ @avinashcpandey @Jiten1parmar @z-vishal
/ggml/src/ggml.c @ggerganov
/ggml/src/ggml.cpp @ggerganov
/ggml/src/gguf.cpp @JohannesGaessler @Green-Sky
/gguf-py/ @CISC
/media/ @ggerganov
/scripts/gen* @ggerganov
/scripts/get* @ggerganov
/scripts/sync* @ggerganov
/scripts/snapdragon/ @ggml-org/ggml-hexagon
/src/ @ggerganov
/src/llama-adapter.* @CISC
/src/llama-arch.* @CISC
/src/llama-chat.* @ngxson
/src/llama-graph.* @CISC
/src/llama-model.* @CISC
/src/llama-vocab.* @CISC
/src/models/ @CISC
/tests/ @ggerganov
/tests/test-chat.* @pwilkin
/tests/test-llama-archs.cpp @JohannesGaessler
/tools/batched-bench/ @ggerganov
/tools/cli/ @ngxson
/tools/completion/ @ggerganov
/tools/mtmd/ @ggml-org/llama-mtmd
/tools/perplexity/ @ggerganov
/tools/parser/ @pwilkin
/tools/quantize/ @ggerganov
/tools/rpc/ @ggml-org/ggml-rpc
/tools/server/* @ggml-org/llama-server # no subdir
/tools/server/tests/ @ggml-org/llama-server
/tools/ui/ @ggml-org/llama-ui
/tools/tokenize/ @ggerganov
/tools/tts/ @ggerganov
/vendor/ @ggerganov
/AUTHORS @ggerganov
/CMakeLists.txt @ggerganov
/CONTRIBUTING.md @ggerganov
/LICENSE @ggerganov
/README.md @ggerganov
/SECURITY.md @ggerganov
/build-xcframework.sh @danbev
requirements*.txt @CISC
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