Commit Graph
14 Commits
Author SHA1 Message Date
5d2b52d80d hexagon: add support for basic and extended Op profiling (#22269)
* hexagon: restore HTP_OPMASK_QUEUE

* hexagon: honor OPMASK_SKIP_COMPUTE in hmx-matmul

* hex-prof: restore op profiling

* hex-prof: enable PMU

* hexagon: simplify and improve op-queuing with full profiling support

Add separate profile descriptors.

* hexagon: remove opsync and rename opmask into opstage

opsync is no longer needed since the profiler is fully async now.
opmask name was confusing and opstage is more accurate.

* hexagon: refactor opbatch queue handling

* hexagon: add iface hooks for enabling profiler from the host

Also move all the PMU setup stuff out of the hex-utils since it's not inteded for normal use.

* hexagon: make profiler mode configurable

On older devices getting PMU counters is expensive so it's now optional.

* hexagon: add support for setting profiler pmu events from env

* hexagon: simplify profiler output (no need to print buffs, etc)

* hexagon: simplify pmu counter formating

* hexagon: add a simple profile post-proc tool

* hex-prof: add support for reading logs from stdin

* hexagon: document GGML_HEXAGON_PROFILE

* hex-prof: update default width for dims field

* hex-prof: fix linter warnings and errors

* Update ggml/src/ggml-hexagon/htp/htp-ops.h

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* Update scripts/snapdragon/ggml-hexagon-profile.py

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

---------

Co-authored-by: Trivikram Reddy <tamarnat@qti.qualcomm.com>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
2026-04-23 14:17:21 -07:00
9aa2807769 hexagon: improved Op queuing, buffer and cache management (#21705)
* hexagon: introduce op request batching and rewrite buffer managment

The host now prepares batches of requests and dispatches them via a single dspqueue message.

Buffers are mapped explicitly by NPU while processing batches.

* hex-dma: disable l2 bypass since to work around new issue due to no flushes between Ops

* hex-utils: add explicit l2flush and l2clear helpers

* hex-opreq: use fine-grain per tensor l2 management

* hex-opreq: avoid redundant invalidates for tensors we already flushed

* hex-opreq: update debug messages

* htp-opreq: reuse ops_context

* hex-opreq: do not flush or invalidate cache lines beyond buffer boundry

* hex-opreq: fix errors in log message

* Revert "hex-opreq: do not flush or invalidate cache lines beyond buffer boundry"

This reverts commit 8b7f0a55a750a6430ce4eb1874c7feb3d720056d.

* hexagon: limit l2 flushes to 1MB which covers l2 cache

* hex-opreq: limit cache flush to 4MB

Looks like 4MB cont. vitual space should cover the 1MB cache.

* hexagon: drop cache flush size to 2MB

* hex-opreq: start reworking opreq packing

* hex-opreq: introduce new way of packing opbatch where tensors are stored separately

* hex-opreq: add a simple fastrpc call to force unmap all buffers

* hex-l2flush: somehow 2MB does not seem robust, also cleanup step size to use line-size

* hex-opreq: bump opreq batch size to 256

* hex-mm: place src1 spad at the top of vtcm for easy reuse

* hex-ops: introduce internal types and disable src1 reuse for now

Nothing new just formalizing the repack / qyn.quant types we've been using.

* htp-opreq: use tensor pointers instead of copies

* hex-opreq: introduce more robust way for tracking vtcm/spad reuse

This removes the SKIP_QUANTIZE flag that became fragile with the addition of HMX and other ops.

* hex-cumsum: fix error post opreq merge

* hex-opreq: move request batch handling into the session

Prepping everything for using dspqueue buffers and doing that inside the session is much cleaner.

* hex-mm: yet another fix for src1 reuse when we're mixing hmx/hvx

* hex-bufs: introduce pinned mmapings and use non-pinned ones for model buffers

* hex-buf: add support for allocating shared/pinned buffer for opreqs

* hex-opbatch: make opbatches configurable

* hex-naming: better name for ggml_hexagon_shared_buffer

* hex-naming: add session->c_name() helper

* hex-opbatch: start using shm but still copy for now

* hex-opbatch: use shared buffer for packing opbatch

* hex-opbatch: beter naming for opbatch related classes and code

* hex-opbatch: reuse batched tensors with same data/dims/strides

* hex-opbatch: update logging

* hex-opbatch: add support for vmem limit for op batching

* hex-opbatch: update htp side to properly support dynamic mmap/unmap

* hex-opbatch: add OB and OQ params for run-completion script and fix the asserts in batch processing

* hex-opbatch: fixed src1 handling in act ops

* hex-act: fix empty src1 handling in swiglu and friends

Simplify preamble macro while at it

* hex-mm: minor fix vtcm and dma handling in matmul

cleaning up some left-overs from merges

* hex-opbatch: allocate extra 1KB for dspqueue overhead

* hexagon: fix softmax for non-aligned tensors and cleanup vtcm alloc

* hex-mm: properly handle hmx_disabled flag

* hex-ops: update comments

* hex-ops: add debug output for get/set-rows

* hex-mmap: optimize un/mapping of buffers

* hex-opreq: global cache flush and invalidate beyond 128KB threshold

* hex-ops: add super simple opfilter regex for debugging

If an Op matches the regex hex backend will reject it.

* hex-opbatch: wireup newer ops missed in merge and update main switch to detect this in future

* hexagon: improved vtcm acquision to remove inter-op overhead

Fully compatible with QNN-HTP coex

* hex-mm: fixed hvx fallback path

* hex-mm: lower the vmem threshold a bit further to ~3GB

* hexagon: update debug & error logs

This also fixes an issue with newer llvm merging repack and non-repack
functions. We use those pointer to distinguish between buffer types.

* hexagon: move ops context into main context

Just a cleanup. We don't need separate contexts at this point.

* hex-opbatch: cleanup naming and headers for opbatch and related descriptors

* hex-fa: it's now better to enable FA during TG to reduce graph splits

* hexagon: remove GGML_HEXAGON_EXPERIMENTAL env var

It's no longer useful. Please use more flexible GGML_HEXAGON_OPFILTER to disable Ops
if needed for debugging or validation.

* hexagon: fixed editorconfig check

* Update ggml/src/ggml-hexagon/ggml-hexagon.cpp

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

---------

Co-authored-by: Trivikram Reddy <tamarnat@qti.qualcomm.com>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
2026-04-10 15:47:43 -07:00
Yiwei Shao ee051c1e4e hexagon: support for IQ4_NL and MXFP4 (#21018)
* ggml-hexagon: add IQ4_NL and MXFP4 HMX matmul support

- Add IQ4_NL quantization type support to Hexagon backend (buffer
  set/get tensor repack, mul_mat, mul_mat_id dispatch)
- Implement HVX IQ4_NL vec_dot kernels (1x1, 2x1, 2x2) with
  LUT-based 4-bit index to int8 kvalue dequantization
- Add MXFP4 HMX dequantization path with E8M0 scale conversion,
  including batch-4 fast path and single-tile fallback
- Unify quantized row size / scale offset logic to handle Q4_0,
  Q8_0, IQ4_NL, and MXFP4 in the DMA fetch path

* ggml-hexagon: fix SKIP_QUANTIZE src1 address mismatch in mixed-quant models

* Fix the pragma indent
2026-03-27 09:22:41 -07:00
Max Krasnyansky 609ea50026 hexagon: Q4_0 and MXFP4 repack fixes (#20527)
* hexagon: fix tail corruption with rows sizes not multiple of 256

* hexagon: use different stride for repacking partial blocks

* hex-mm: update repack and kernels to avoid shuffles for full 256-element blocks

Previous commit changed the repacking to use even:odd (0:1,2:3,..) packing
instead of the original (0:128,1:129,...) packing in order to fix tail corruption.
Since the mm kernels already deal with partial tails we can use even:odd
packing only for the last block.
This avoid performance penalty of having to shuffle to zip the elements
in the common case.

* hex-mm: update rmpy x8 for better optimizations

* hex-mm: tighten supported MUL_MAT checks to avoid spurios failures

* hex-mm: use vzero to init accumulators

* hex-mm: properly call partial rmpy_x8
2026-03-14 11:09:08 -07:00
Max Krasnyanskyandchraac 7a99dc85e2 hexagon: Flash Attention optimizations (dma, mpyacc, multi-row) and MatMul updates (#20118)
* ggml-hexagon: enhance hvx_dot_f16_f16_aa_rx4 for improved performance by expanding vector handling and optimizing accumulation

# Conflicts:
#	ggml/src/ggml-hexagon/htp/flash-attn-ops.c

* ggml-hexagon: optimize hvx_dot_f16_f16_aa_rx4 and enhance hvx_vec_reduce_sum_f32x4 for improved performance and reduced complexity

* ggml-hexagon: add hvx_dot_f16_f16_aa_rx32 for enhanced vector processing in flash attention

# Conflicts:
#	ggml/src/ggml-hexagon/htp/flash-attn-ops.c

* optimize hvx_dot_f16_f16_aa_rx4 and hvx_dot_f16_f16_aa_rx32 by removing unused scale parameter and improving vector accumulation

# Conflicts:
#	ggml/src/ggml-hexagon/htp/flash-attn-ops.c

* ggml-hexagon: refactor hvx_dot_f16_f16_aa_rx4 for improved readability and return HVX_Vector for better integration

# Conflicts:
#	ggml/src/ggml-hexagon/htp/flash-attn-ops.c

* ggml-hexagon: initialize sums variable in hvx_dot_f16_f16_aa_rx32 for clarity

* ggml-hexagon: fix compiling error

* fix hvx_dot_f16_f16_aa_rx4 to handle leftover elements correctly using masking

* refactor hvx_dot_f16_f16_aa_rx4 to accept vector and leftover element counts as parameters for improved clarity and flexibility

* wip

* fa: instrumentation and dma reordering

* hex-fa: use block-size 64 to improve DMA pipelining

* hex-fa: optimize vec-dot for v79 and above

* hex-fa: use block size 64

* hex-fa: avoid scalar fp32->fp16 conversions

* hex-fa: simplify dot_f16 functions using optimized vec_mpyacc

* hex-fa: rewrite mad_f32_f16 using hvx_vec_mpyacc

* hex-mm: use mpyacc in matmul dot functions

---------

Co-authored-by: chraac <chraac@gmail.com>
2026-03-04 21:55:29 -08:00
Max Krasnyansky 39fb81f875 hexagon refactor all Ops to use local context struct (#19819)
* hexagon: refactor set/get/sum-rows ops to use local context

* hexagon: refactor ROPE and Softmax Ops to use local context

Improves performance a bit by precomputing things and saving in the context.

* hexagon: refactor activation ops to use local context struct

* hexagon: refactor unary ops to use local context struct and DMA/VTCM

* hexagon: use aligned hvx_scale function

* hexagon: remove unused fields from op_context

* hexagon: rewrite ROPE to use DMA and VTCM scratchpad

* hex-rope: keep N rows in scratchpad (instead of just two)

* hex-rope: introduce rowidx cache

* hex-rope: remove unused fields

* hex-rope: rewrite dma prefetch logic to allow for multi-row fetch/compute

also removes the need for fastdiv.

* hex-rope: minor formatting

* hex-rope: use indices and unroll the loops

* hex-rope: more updates to cleanup rope-block handling

* hexagon: cleanup supported type/dims checks

* hexagon: all reduce funcs replicated across lanes

There is no need to explicitly replicate the first value.

* snapdragon: update adb and windows scripts to use ubatch-size 256

Updated Ops support handles larger ubatches.
2026-02-23 16:32:14 -08:00
Max KrasnyanskyandTrivikram Reddy b1ff83bbb0 hexagon: further optimization and tuning of matmul and dot kernels (#19407)
* ggml-hexagon: implement 2x2 matmul kernel

* hexmm: implement vec_dot_rx2x2 for Q8_0 and MXFP4

* hexagon: fix editor config failures

* hexagon: refactor matmul ops to use context struct and remove wrappers

Also implement vec_dot_f16 2x2

* hexagon: refactor dyn quantizers to use mmctx

* hexagon: remove mm fastdiv from op_ctx

* hexagon: refactor matmul entry point to reduce code duplication

---------

Co-authored-by: Trivikram Reddy <tamarnat@qti.qualcomm.com>
2026-02-11 23:04:27 -08:00
nullnameandMax Krasnyansky 89f10baad5 ggml-hexagon: flash-attention and reduce-sum optimizations (#19141)
* wip

* ggml-hexagon: add vectorized dot product function for FP32 and FP16 accumulation

* ggml-hexagon: optimize dot product functions for FP16 and FP32 with new vectorized implementations

* wip

* ggml-hexagon: optimize hvx_vec_dump_f32_n and hvx_vec_reduce_sum_qf32x2 functions for improved performance

* ggml-hexagon: refactor dot product functions to use a common loading function for improved readability

* optimize vector dot product functions to use unified reduction for improved performance

* wip

* ggml-hexagon: add vectorized dot product function for FP32 and FP16 accumulation

* ggml-hexagon: optimize dot product functions for FP16 and FP32 with new vectorized implementations

* wip

* ggml-hexagon: optimize hvx_vec_dump_f32_n and hvx_vec_reduce_sum_qf32x2 functions for improved performance

* ggml-hexagon: refactor dot product functions to use a common loading function for improved readability

* optimize vector dot product functions to use unified reduction for improved performance

* hexagon: optimize reduce-sum for v75+

* hexagon: always keep row_sums in sf/fp32

* ggml-hexagon: enhance directory checks for HEXAGON_SDK_ROOT and HEXAGON_TOOLS_ROOT

* fix compiling error after rebase

---------

Co-authored-by: Max Krasnyansky <maxk@qti.qualcomm.com>
2026-01-30 21:14:20 -08:00
Max Krasnyansky cff777f226 hexagon: support for OP_CPY, host buffers now optional, hvx-utils refactoring and optimizations (#18822)
* hexagon: disable repack buffers if host buffers are disabled, improved handling of env vars

* hexagon: add support for OP_CPY fp16/fp32 -> fp16/fp32

Factore out all hvx_copy functions into hvx-copy.h header and reduced code duplication.
Update HTP ops infra to support OP_CPY

* hexagon: cleanup and refactor hex/hvx/htp headers and helper libs

hex is basically all scalar/core platform stuff (L2, DMA, basic utils)
hvx is all hvx related utils, helpers, etc
htp is higher level stuff like Ops, etc

hvx-utils library got a nice round of cleanup and refactoring to reduce duplication

use hvx_vec_store_a where possible

* hexagon: refactor HVX sigmoid functions to hvx-sigmoid.h

Moved sigmoid and tanh vector functions from hvx-utils.h to a new header
hvx-sigmoid.h. Implemented aligned and unaligned variants for sigmoid
array processing using a macro pattern similar to hvx-copy.h. Updated
act-ops.c to use the new aligned variant hvx_sigmoid_f32_aa. Removed
unused hvx-sigmoid.c.

* hexagon: factor out hvx-sqrt.h

* hexagon: mintor update to hvx-utils.h

* hexagon: remove spurios log

* hexagon: factor out and optimize hvx_add/sub/mul

* hexagon: remove _opt variants of add/sub/mul as they simply fully aligned versions

* hexagon: refactor reduction functions to hvx-reduce.h

Moved `hvx_self_max_f32` and `hvx_self_sum_f32` from `hvx-utils.h`/`.c` to `hvx-reduce.h`.
Renamed them to `hvx_reduce_max_f32` and `hvx_reduce_sum_f32`.
Added aligned (`_a`) and unaligned (`_u`) variants and used macros to unify logic.
Updated `softmax-ops.c` to use the new functions.

* hexagon: refactor the rest of arithmetic functions to hvx-arith.h

Moved `hvx_sum_of_squares_f32`, `hvx_min_scalar_f32`, and `hvx_clamp_scalar_f32` from `hvx-utils.c/h` to `hvx-arith.h`. Implemented aligned/unaligned variants (`_aa`, `_au`, etc.) and used macros to reduce code duplication. Updated `hvx_min_scalar_f32` and `hvx_clamp_scalar_f32` to use `dst, src, ..., n` argument order. Updated call sites in `act-ops.c`.

Refactor Hexagon HVX arithmetic functions (min, clamp) to hvx-arith.h

Moved `hvx_min_scalar_f32` and `hvx_clamp_scalar_f32` from `hvx-utils.c/h` to `hvx-arith.h`. Implemented aligned/unaligned variants (`_aa`, `_au`, etc.) and used macros to reduce code duplication. Updated these functions to use `dst, src, ..., n` argument order and updated call sites in `act-ops.c`. `hvx_sum_of_squares_f32` remains in `hvx-utils.c` as requested.

* hexagon: refactor hvx_sum_of_squares_f32

- Modify `hvx_sum_of_squares_f32` in `ggml/src/ggml-hexagon/htp/hvx-reduce.h` to use `dst, src` signature.
- Implement `_a` (aligned) and `_u` (unaligned) variants for `hvx_sum_of_squares_f32`.
- Update `hvx_reduce_loop_body` macro to support both returning and storing results via `finalize_op`.
- Update existing reduction functions in `hvx-reduce.h` to use the updated macro.
- Update `rms_norm_htp_f32` in `ggml/src/ggml-hexagon/htp/unary-ops.c` to match the new signature.

* hexagon: use hvx_splat instead of memset

* hexagon: consistent use of f32/f16 in all function names to match the rest of GGML

* hexagon: fix hvx_copy_f16_f32 on v75 and older

* hexagon: update readme to include GGML_HEXAGON_EXPERIMENTAL

* scripts: update snapdragon/adb scripts to enable host param
2026-01-14 21:46:12 -08:00
Max Krasnyansky 95ea9e0861 Hexagon add support for f16/f32 flash attention, scale, set-rows and improve f16/32 matmul (#18611)
* hexagon: improve fp16 matmul and add fp32/fp16 flash-attention

* hexagon: add support for set-rows fp32 -> fp16 with i32/i64 row-idx

* hexagon: add support for SCALE fp32

* hexagon: replace scalar fp32 -> fp16 copy with HVX

* hexagon: optimize flash_atten_ext with aligned VTCM buffers and DMA

- Implements double-buffered DMA prefetching for K, V, and Mask tensors.
- Ensures K and V rows in VTCM are padded to 128 bytes to support aligned HVX operations.
- Correctly synchronizes DMA transfers to prevent race conditions.
- Uses `FLASH_ATTN_BLOCK_SIZE` of 128 for efficient chunking.

* hexagon: use aligned mad_f16

* hexagon: flash_atten more aligned ops

* hexagon: optimize scale_f32 hvx helpers

* hexagon: unroll fa loops

* hexagon: remove unused set-rows log

* hexagon: flash_attn_ext add support for DMAing Q

- Update `op_flash_attn_ext` to include Q row size in scratchpad allocation.
- Pad Q row size to 128 bytes for alignment.
- Implement DMA transfer for Q tensor in `flash_attn_ext_f16_thread`.
- Update dot product computations to use VTCM-buffered Q data.

* hexagon: fix handling of NANs hvx dotproducts

* hexagon: cleanup spad allocation in flash-atten

* hexagon: improve fp16/fp32 matmul

- Introduced `vec_dot_f16_f16` and `vec_dot_f16_f16_rx2` kernels using efficient HVX dot product intrinsics.
- Added `quantize_fp32_f16` to copy/convert weights from DDR to VTCM
- Updated `op_matmul` to use the optimized path when VTCM capacity allows and broadcasting requirements are compatible.
- Implemented fallback logic to the original implementation for complex broadcasting scenarios.

* hexagon: fix HVX_ARCH check

* hexagon: matmul cleanup and fp16 fixes

Use aligned vec_dot_f16 for 2d matmuls and unaligned version for 4d.

* hexagon: fix fp16 x fp16 matmuls and some minor refactoring

* hexagon: add support for GET_ROWS f32 -> f32

Also optimize SET_ROWS threading a bit when we have just a few rows to process.

* hexagon: optimize set-rows threading

* hexagon: update adb/run-bench.sh to properly support experimental and verbose options

* hexagon: flash_atten use aligned vectors for dot products
2026-01-06 17:38:29 -08:00
ShouyuandMax Krasnyansky bf6bc3c155 ggml-hexagon: gelu optimization (#18151)
* feat: working gelu with src0 put on vtcm

* feat: gelu ping-pong for both in and out

* fix: fixu compile error

* break: distinguish dma ddr->vtcm and vtcm->ddr operation

* fix: fix dma queue size

* break: update dma api to either pop src or dst ptr

* fix: fix activation vtcm allocation issue for src1 when swapperd

* refactor: ping-pong gelu logic to avoid unnecessary if else

* dma: improved queue interface and prefetch handling

* gelu: fix N+2 block prefetch

---------

Co-authored-by: Max Krasnyansky <maxk@qti.qualcomm.com>
2025-12-22 10:56:52 -08:00
Alfredandngdxzy ce734a8a2f ggml-hexagon: Implement true Q8_0 quantization on Hexagon NPU for more accurate mixed-precision matmul operations (#17977)
* feat: implement real Q8_0

* feat: adding cmake option for configuring FP32 quantize group size

* typo: set() shall be used

---------

Co-authored-by: ngdxzy <zhenyu_xu@uri.edu>
2025-12-19 09:42:28 -08:00
Shouyu c45f89d551 ggml-hexagon: mm for mtmd (#17894)
* feat: add run_mtmd script for hexagon

* fix: fix issue in fp16xfp32 mm

* fix: remove opt_experiment for fp16xfp32 mm

* fix: ggml-hexagon: matmul fp16xfp32 support non-contigious src0

* fix: fix syntax check for run-mtmd.sh for cli
2025-12-15 10:53:56 -08:00
63d2fc46e1 Add experimental ggml-hexagon backend for the Hexagon NPU (#16547)
* model: add support for extra bufs for all devices

* hexagon: add experimental ggml-hexagon backend for the Hexagon NPU

This commit introduces a new experimental backend `ggml-hexagon` with support for the Hexagon NPU.

Highlights:
- Supports Hexagon versions: v73, v75, v79, and v81
- Targets Android devices based on Snapdragon SoCs: Gen3, 8-Elite, and 8-Elite Gen5
- Supports Q4_0, Q8_0, MXFP4, and FP32 data types
- Implements core LLM ops: MUL_MAT/MUL_MAT_ID, ADD/SUB/MUL/ADD_ID, RMS_NORM, ROPE, GLU/SWIGLU, SOFTMAX

**Note:** This backend is experimental and may exhibit instability or limited performance across supported devices.
It is intended for early testing and feedback from llama.cpp/ggml developer and user community.

Co-Authored-By: Rajdeep Ganguly <rganguly@qti.qualcomm.com>
Co-Authored-By: Todor Boinovski <todorb@qti.qualcomm.com>

* hexagon: fix format checker errors

* hexagon: update readme and cmake presets

* ci: add android-ndk-build jobs that build plain ARM64 and Snapdragon versions

* hexagon: add simple graph optimizer for stacking MUL_MAT ops with the same input

* hexagon: move ADB helper scripts into scripts/snapdragon/adb

* hexagon: replace all f/printfs with GGML_LOG_...

* readme: add hexagon to the list supported backends

* hexagon: stack malmuts with quantized inputs only

* hexagon: add TODO for fixing issues in hexagon_graph_optimize

* hexagon: update to hex-sdk 6.4.0 and add scripts for running on QDC

* scripts: fix lint errors

* scripts: update qdc pytest script to make linter happy

* hexagon: add reduce sum in fp32

* hexagon: reduce number of vector stores in matmul output

* hexagon: remove the need for vdelta in reduce-multiply-x8

* hexagon: consistent use of reduce_sum_fp32 for row_sums

* hexagon: some more matmul optimizations and comments

Optimize cases where tensor dims are not multiple of 1024 (e.g in Qwen models).
We've handled those cases already but at a higher overhead.

* hexagon: update cmake presets

* hexagon: add OPMASK support for run-bench.sh wrapper

* hexagon: update to use GGML_BACKEND_API

* hexagon: remove unused logic for setting tensor flags for the views

* hexagon: add asserts to set/get_tensor to make sure we handle complete tensors

Same asserts as the CPU backend.

* hexagon: use cpy_tensor slow path for non-host buffers

* hexagon: error checks in the buffer allocator

* cmake: move include(extProj) under ggml-hexagon

* hexagon: don't forget to delete the backend on free

* hexagon: set/get_tensor size assert apply only to quantized tensors

* hexagon: reintroduce HEX_VERBOSE wrapper for GGML_LOG_DEBUG for now

GGML_LOG_DEBUG is always enabled for test-backend-ops and the output gets in the way.
Ideally we need a bit more finer log levels.

* docs: typos in hexagon developer docs (libggm-...)

* hexagon: overhaul error handling in the session/device allocation

this should handle all failure paths in the session allocation.

* hexagon: update cmake presets to enable fp16 vectors

* hexagon: remove unused time_usec function

* hexagon: don't forget to release buffer contexts

* hexagon: fixed indents in hvx-utils (missed clang-format auto-format failure)

* hexagon: remove custom can_repeat function and use ggml_can_repeat

---------

Co-authored-by: Rajdeep Ganguly <rganguly@qti.qualcomm.com>
Co-authored-by: Todor Boinovski <todorb@qti.qualcomm.com>
2025-10-22 13:47:09 -07:00