Commit Graph

662 Commits

Author SHA1 Message Date
Georgi Gerganov 8071a57c9b
Merge branch 'master' into HEAD 2026-01-01 20:19:42 +02:00
Georgi Gerganov 0d85c5ca22
tests : add more top_k tests 2026-01-01 20:17:11 +02:00
Jeff Bolz be47fb9285
vulkan: extend topk_moe to handle sigmoid w/exp_probs_b for nemotron (#18295)
* vulkan: extend topk_moe to handle sigmoid w/exp_probs_b for nemotron

Also handle GGML_OP_SCALE at the end (nemotron, deepseek2).

Fewer pipeline variants and spec constants, just use push constants.

In test_topk_moe, change exp_probs_b to be 1D, matching real networks.

Update test-backend-ops and ggml-backend to allow verifying multiple outputs
in a fusion test (topk_moe has two outputs). Previously only the final node
was verified.

* change test_topk_moe to allow results in arbitrary order

* disable sigmoid fusion for moltenvk
2026-01-01 08:58:27 +01:00
Anri Lombard 4cd162a123
chat: make tool description and parameters optional per OpenAI spec (#18478)
* chat: make tool description and parameters optional per OpenAI spec

Per the OpenAI API specification, both 'description' and 'parameters'
fields in tool function definitions are optional. Previously, the parser
would throw an exception if these fields were missing.

Attempts to fix #17667

* refactor: use value() for cleaner optional field access
2025-12-31 17:21:37 -06:00
Georgi Gerganov 4c3d5422ad
minor : add comments + some cleanup 2025-12-31 16:59:42 +02:00
Aldehir Rojas 0f89d2ecf1
common : default content to an empty string (#18485)
* common : default content to an empty string

* common : fix tests that break when content != null
2025-12-30 12:00:57 -06:00
Daniel Bevenius 82c2600585
Merge remote-tracking branch 'upstream/master' into backend-sampling 2025-12-28 07:34:17 +01:00
Jeff Bolz b96b82fc85
vulkan: Support UPSCALE w/antialias (#18327) 2025-12-26 17:00:57 +01:00
Jeff Bolz 10dc500bdb
vulkan: handle rope with large number of rows (#18306) 2025-12-26 16:53:46 +01:00
Georgi Gerganov 0ce03597e8
Merge branch 'master' into HEAD 2025-12-24 10:33:21 +02:00
Jeff Bolz e3b35ddf1c
vulkan: Extend rope fusions to allow mrope (#18264)
Extend the test-backend-ops tests as well.
2025-12-22 11:03:13 -06:00
Johannes Gäßler 147a521636
tool/ex/tests: consistently free ctx, then model (#18168) 2025-12-22 11:00:37 +01:00
Daniel Bevenius f1310ab904
Merge remote-tracking branch 'upstream/master' into backend-sampling 2025-12-22 06:46:54 +01:00
Jeff Bolz fd05c51cec
vulkan: fix im2col overflowing maxworkgroupcount (#18180) 2025-12-21 10:32:58 +01:00
Jeff Bolz b365c3ff01
vulkan/cuda: fix topk_moe with exp_probs_b (#18071)
I updated test_topk_moe to more closely match llm_graph_context::build_moe_ffn
and added coverage for exp_probs_b and some other missing combinations. This
exposed a bug in both CUDA and Vulkan backends where they were assuming the
input to argsort and the input to get_rows are the same. I'd like to optimize
this graph in another change, but for now just get it functional.

CUDA also had a bug where it got n_experts from the wrong place, leading to
GGML_ASSERT failures in some of the new tests.
2025-12-21 10:27:34 +01:00
Jeff Bolz 52ab19df63
tests: Avoid floating point precision false positives in SUM (#17471)
* tests: Avoid floating point precision false positives in SUM

* also apply to test_mean
2025-12-20 13:46:46 -06:00
Jeff Bolz 5182dd64cd
test-backend-ops: improve msvc build time (#18209) 2025-12-20 13:45:45 -06:00
Xuan-Son Nguyen 9e39a1e6a9
server: support load model on startup, support preset-only options (#18206)
* server: support autoload model, support preset-only options

* add docs

* load-on-startup

* fix

* Update common/arg.cpp

Co-authored-by: Pascal <admin@serveurperso.com>

---------

Co-authored-by: Pascal <admin@serveurperso.com>
2025-12-20 09:25:27 +01:00
Pascal 14931a826e
arg: fix order to use short form before long form (#18196)
* arg: fix order to use short form before long form

* arg: update doc

* arg: update test-arg-parser

* arg: address review feedback from ngxson

simplified to check first.length() <= last.length() only
fixed: --sampler-seq, --rerank, --draft ordering
note: middle positions in 3+ arg sets are not verified

* arg: update doc
2025-12-19 18:01:56 +01:00
Daniel Bevenius bc5195c585
Merge remote-tracking branch 'upstream/master' into backend-sampling 2025-12-19 09:38:01 +01:00
Xuan-Son Nguyen 8ea958d4d9
model : add ASR support for LFM2-Audio-1.5B (conformer) (#18106)
* ASR with LFM2-Audio-1.5B

* Set rope_theta

* Fix comment

* Remove rope_theta setting

* Address PR feedback

* rename functions to conformer

* remove some redundant ggml_cont

* fix missing tensor

* add prefix "a." for conv tensors

* remove redundant reshape

* clean up

* add test model

---------

Co-authored-by: Tarek Dakhran <tarek@liquid.ai>
2025-12-19 00:18:01 +01:00
Georgi Gerganov eefdb0da17
Merge branch 'master' into HEAD 2025-12-18 10:12:47 +02:00
Daniel Bevenius 981475fedc
tests : add --device option support to backend sampler tests
This commit adds support for specifying a device to run the test on.
2025-12-17 15:31:21 +01:00
Daniel Bevenius a519aea35c
tests : fix batch token position tracking in test_backend_sampler.cpp 2025-12-17 13:49:39 +01:00
Daniel Bevenius cc31e6a20e
tests : extract batch info update to separate method 2025-12-17 11:53:15 +01:00
Daniel Bevenius 76a1b7fe8c
tests : remove vocab member from test_model_context
Also includes some minor cleanups related to nullptr checks.
2025-12-17 11:48:41 +01:00
Daniel Bevenius 9845996919
tests : use smart pointers for model and context 2025-12-17 11:26:05 +01:00
Daniel Bevenius 9a9ea2f6b1
tests : use smart pointers for backend samplers 2025-12-17 11:08:08 +01:00
Aldehir Rojas c05aa69f32
common : add nemotron 3 parsing (#18077)
* common : expose json-schema functionality to extract type info

* common : fix peg parser negation during needs_more_input

* common : add some defensive measures in constructed peg parser

* common : add nemotron nano 3 support

* common : add nemotron nano 3 tests

* remove debug line
2025-12-16 04:05:23 -06:00
Daniel Bevenius ad1b60abc4
Merge remote-tracking branch 'upstream/master' into backend-sampling 2025-12-16 09:45:08 +01:00
ssweens 4529c660c8
kv-cache: Fix state restore fragmented cache (#17982)
* kv-cache : fix state restore with fragmented cache (#17527)

Change find_slot to allow non-contiguous allocation during state restore. Fixes 'failed to find available cells in kv cache' error when restoring state to fragmented cache.

* tests : update logic

* cleanup: tightened state_read_meta sig, added is_contiguous case

* fix: state_read_meta arg reorder loose ends

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2025-12-15 19:28:35 +02:00
Georgi Gerganov 22c7f85b9c
Merge branch 'master' into HEAD 2025-12-14 10:19:58 +02:00
Xuan-Son Nguyen 4d5ae24c0a
arg: fix common_params_parse not accepting negated arg (#17991) 2025-12-13 12:53:37 +01:00
Jeff Bolz 303f8615e9
vulkan: Multi-pass softmax for large number of cols (#17892)
When the number of cols is large, split each row across multiple workgroups.
There are three phases that communicate partial results through temp buffers:
(1) compute max partials
(2) take max of partials, compute sum(exp(x-max)) partials
(3) sum partials, compute scaled result
2025-12-13 10:04:29 +01:00
Jeff Bolz 07a10c1090
vulkan: Allow non-pow2 n_experts in topk_moe (#17872) 2025-12-13 08:40:04 +01:00
Xuan-Son Nguyen 380b4c984e
common: support negated args (#17919)
* args: support negated args

* update docs

* fix typo

* add more neg options

* Apply suggestions from code review

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

* rm duplicated arg

* fix LLAMA_ARG_NO_HOST

* add test

---------

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
2025-12-12 23:58:53 +01:00
Piotr Wilkin (ilintar) 53ecd4fdb9
SOLVE_TRI extension to more dimensions (#17793)
* Extended TRI

* Fix whitespace

* chore: update webui build output

* Just use cuBLAS for everything...

* Merge both versions

* Remove incorrect imports causing failures for CI

* Still failing... remove all direct cublas imports and rely on common imports from "common.cuh"

* Defines for hipBlas

* Aaaand MUSA defines...

* I hate this job...

* Stupid typo...

* Update ggml/src/ggml-cuda/solve_tri.cu

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2025-12-11 17:20:43 +01:00
Georgi Gerganov 4d10b78e23
Merge branch 'master' into HEAD 2025-12-11 14:42:56 +02:00
Georgi Gerganov ab65b47a52
tests : run backend sampler tests always on the CPU 2025-12-11 14:14:47 +02:00
Georgi Gerganov 74b112e3e7
sampling : fix greedy 2025-12-11 13:37:02 +02:00
Max Krasnyansky e1f4921980
Fix race conditions in threadpool when dealing with dynamic/frequent n_threads changes (#17748)
* tests: update barrier test to check for race condition in active threads

* cpu: combine n_graph and n_threads into a single atomic update

* tests: add multi-graph test for test_barrier
2025-12-10 12:32:23 -08:00
Georgi Gerganov 4dff236a52
ggml : remove GGML_KQ_MASK_PAD constant (#17910)
* ggml : remove GGML_KQ_MASK_PAD constant

* cont : remove comment
2025-12-10 20:53:16 +02:00
Georgi Gerganov 38882247d3
Merge branch 'master' into HEAD 2025-12-10 17:07:21 +02:00
Xuan-Son Nguyen 6c2131773c
cli: new CLI experience (#17824)
* wip

* wip

* fix logging, add display info

* handle commands

* add args

* wip

* move old cli to llama-completion

* rm deprecation notice

* move server to a shared library

* move ci to llama-completion

* add loading animation

* add --show-timings arg

* add /read command, improve LOG_ERR

* add args for speculative decoding, enable show timings by default

* add arg --image and --audio

* fix windows build

* support reasoning_content

* fix llama2c workflow

* color default is auto

* fix merge conflicts

* properly fix color problem

Co-authored-by: bandoti <bandoti@users.noreply.github.com>

* better loading spinner

* make sure to clean color on force-exit

* also clear input files on "/clear"

* simplify common_log_flush

* add warning in mtmd-cli

* implement console writter

* fix data race

* add attribute

* fix llama-completion and mtmd-cli

* add some notes about console::log

* fix compilation

---------

Co-authored-by: bandoti <bandoti@users.noreply.github.com>
2025-12-10 15:28:59 +01:00
Georgi Gerganov 81cb5783c8
Merge branch 'master' into HEAD 2025-12-10 13:41:32 +02:00
Aldehir Rojas 2fbe3b7bb7
common : add parser for ministral/mistral large 3/devstral 2 (#17713) 2025-12-09 17:31:04 -06:00
Gabe Goodhart 086a63e3a5
metal: SSM kernel improvements (#17876)
* feat: Add a batched version of ssm_conv

This was done using Claude Code. It found a number of optimizations around
how the threads were organized, resulting in a huge performance boost!

Branch: Mamba2SSD

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Optimized SSM_SCAN kernel for metal

This used Claude Code and resulted in a modest performance improvement
while maintaining correctness.

Branch: Mamba2SSD

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* test: Add test-backend-ops perf tests for SSM_CONV

Branch: SSMKernelImprovements

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* test: Real representitive tests for SSM_CONV

Branch: SSMKernelImprovements

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* refactor: Use function constant for ssm_conv batch size

Branch: SSMKernelImprovements

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* test: backend op tests for ssm_scan from granite4 1b-h

Branch: SSMKernelImprovements

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* style: remove commented out templates

Branch: SSMKernelImprovements

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: float4 version of ssm_conv_batched

Branch: SSMKernelImprovements

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Add missing ggml_metal_cv_free

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

---------

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2025-12-09 21:30:02 +02:00
Piotr Wilkin (ilintar) b63509262a
Add DIAG for CUDA (#17873)
* Add DIAG for CUDA

* Refactor parameters
2025-12-09 20:28:57 +01:00
Oliver Simons 886c3668b5 Add TODOs to and adjust heuristics of row-wise soft_max in CUDA
Heuristics were selected based on the following numbers:

```
-- Before
Backend 1/2: CUDA0
  Device description: NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition
  Device memory: 97250 MB (96691 MB free)

  SOFT_MAX(type=f32,ne=[4096,4096,5,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                2236 runs -   450.34 us/run -   655360 kB/run - 1401.20 GB/s
  SOFT_MAX(type=f32,ne=[12888,256,5,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):               17748 runs -    56.80 us/run -   128880 kB/run - 2168.19 GB/s
  SOFT_MAX(type=f32,ne=[77,4096,5,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 57204 runs -    18.35 us/run -    12320 kB/run -  640.57 GB/s
  SOFT_MAX(type=f32,ne=[1024,1024,10,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):               9840 runs -   102.46 us/run -    81920 kB/run -  763.45 GB/s
  SOFT_MAX(type=f32,ne=[77,1024,10,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                98064 runs -    10.25 us/run -     6160 kB/run -  573.43 GB/s
  SOFT_MAX(type=f32,ne=[256,256,20,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                98310 runs -    10.25 us/run -    10240 kB/run -  953.20 GB/s
  SOFT_MAX(type=f32,ne=[64,64,20,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 172011 runs -     5.99 us/run -      640 kB/run -  101.84 GB/s
  SOFT_MAX(type=f32,ne=[77,64,20,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 172011 runs -     5.97 us/run -      770 kB/run -  123.02 GB/s
  SOFT_MAX(type=f32,ne=[8192,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 172011 runs -     6.00 us/run -       64 kB/run -   10.16 GB/s
  SOFT_MAX(type=f32,ne=[8192,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 163820 runs -     6.12 us/run -      256 kB/run -   39.91 GB/s
  SOFT_MAX(type=f32,ne=[8192,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                147438 runs -     6.88 us/run -     1024 kB/run -  141.92 GB/s
  SOFT_MAX(type=f32,ne=[16384,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                122865 runs -     8.20 us/run -      128 kB/run -   14.89 GB/s
  SOFT_MAX(type=f32,ne=[16384,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                114674 runs -     8.87 us/run -      512 kB/run -   55.06 GB/s
  SOFT_MAX(type=f32,ne=[16384,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                98292 runs -    10.24 us/run -     2048 kB/run -  190.82 GB/s
  SOFT_MAX(type=f32,ne=[32768,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 49146 runs -    21.37 us/run -      256 kB/run -   11.43 GB/s
  SOFT_MAX(type=f32,ne=[32768,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 49146 runs -    22.54 us/run -     1024 kB/run -   43.33 GB/s
  SOFT_MAX(type=f32,ne=[32768,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                49146 runs -    23.92 us/run -     4096 kB/run -  163.32 GB/s
  SOFT_MAX(type=f32,ne=[65536,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 32764 runs -    38.94 us/run -      512 kB/run -   12.54 GB/s
  SOFT_MAX(type=f32,ne=[65536,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 24573 runs -    41.94 us/run -     2048 kB/run -   46.57 GB/s
  SOFT_MAX(type=f32,ne=[65536,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                24582 runs -    43.09 us/run -     8192 kB/run -  181.32 GB/s
  SOFT_MAX(type=f32,ne=[131072,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                16382 runs -    74.56 us/run -     1024 kB/run -   13.10 GB/s
  SOFT_MAX(type=f32,ne=[131072,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                16382 runs -    79.85 us/run -     4096 kB/run -   48.92 GB/s
  SOFT_MAX(type=f32,ne=[131072,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):               12294 runs -    82.41 us/run -    16384 kB/run -  189.64 GB/s
  SOFT_MAX(type=f32,ne=[262144,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 8191 runs -   145.16 us/run -     2048 kB/run -   13.46 GB/s
  SOFT_MAX(type=f32,ne=[262144,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 8194 runs -   155.46 us/run -     8192 kB/run -   50.26 GB/s
  SOFT_MAX(type=f32,ne=[262144,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                7175 runs -   160.70 us/run -    32768 kB/run -  194.56 GB/s
  SOFT_MAX(type=f32,ne=[524288,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 8191 runs -   285.81 us/run -     4096 kB/run -   13.67 GB/s
  SOFT_MAX(type=f32,ne=[524288,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 4098 runs -   306.91 us/run -    16384 kB/run -   50.92 GB/s
  SOFT_MAX(type=f32,ne=[524288,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                3591 runs -   317.06 us/run -    65536 kB/run -  197.32 GB/s

-- After
Backend 1/2: CUDA0
  Device description: NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition
  Device memory: 97250 MB (96691 MB free)

  SOFT_MAX(type=f32,ne=[4096,4096,5,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                2236 runs -   450.67 us/run -   655360 kB/run - 1400.15 GB/s
  SOFT_MAX(type=f32,ne=[12888,256,5,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):               17748 runs -    56.97 us/run -   128880 kB/run - 2161.50 GB/s
  SOFT_MAX(type=f32,ne=[77,4096,5,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 57204 runs -    18.35 us/run -    12320 kB/run -  640.36 GB/s
  SOFT_MAX(type=f32,ne=[1024,1024,10,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):               9840 runs -   102.46 us/run -    81920 kB/run -  763.42 GB/s
  SOFT_MAX(type=f32,ne=[77,1024,10,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                98064 runs -    10.25 us/run -     6160 kB/run -  573.43 GB/s
  SOFT_MAX(type=f32,ne=[256,256,20,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                98310 runs -    10.25 us/run -    10240 kB/run -  953.21 GB/s
  SOFT_MAX(type=f32,ne=[64,64,20,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 147438 runs -     7.00 us/run -      640 kB/run -   87.26 GB/s
  SOFT_MAX(type=f32,ne=[77,64,20,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 147438 runs -     6.99 us/run -      770 kB/run -  105.05 GB/s
  SOFT_MAX(type=f32,ne=[8192,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 172011 runs -     6.02 us/run -       64 kB/run -   10.13 GB/s
  SOFT_MAX(type=f32,ne=[8192,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 163820 runs -     6.12 us/run -      256 kB/run -   39.87 GB/s
  SOFT_MAX(type=f32,ne=[8192,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                147438 runs -     6.91 us/run -     1024 kB/run -  141.40 GB/s
  SOFT_MAX(type=f32,ne=[16384,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                122865 runs -     8.20 us/run -      128 kB/run -   14.89 GB/s
  SOFT_MAX(type=f32,ne=[16384,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                114674 runs -     8.79 us/run -      512 kB/run -   55.54 GB/s
  SOFT_MAX(type=f32,ne=[16384,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                98292 runs -    10.24 us/run -     2048 kB/run -  190.82 GB/s
  SOFT_MAX(type=f32,ne=[32768,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                131056 runs -     8.11 us/run -      256 kB/run -   30.12 GB/s
  SOFT_MAX(type=f32,ne=[32768,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 49146 runs -    22.54 us/run -     1024 kB/run -   43.33 GB/s
  SOFT_MAX(type=f32,ne=[32768,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                49146 runs -    23.32 us/run -     4096 kB/run -  167.50 GB/s
  SOFT_MAX(type=f32,ne=[65536,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                122865 runs -     8.19 us/run -      512 kB/run -   59.63 GB/s
  SOFT_MAX(type=f32,ne=[65536,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                 40955 runs -    24.59 us/run -     2048 kB/run -   79.43 GB/s
  SOFT_MAX(type=f32,ne=[65536,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                24582 runs -    43.21 us/run -     8192 kB/run -  180.84 GB/s
  SOFT_MAX(type=f32,ne=[131072,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):               122865 runs -     8.19 us/run -     1024 kB/run -  119.25 GB/s
  SOFT_MAX(type=f32,ne=[131072,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                40955 runs -    24.59 us/run -     4096 kB/run -  158.87 GB/s
  SOFT_MAX(type=f32,ne=[131072,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):               12294 runs -    82.37 us/run -    16384 kB/run -  189.74 GB/s
  SOFT_MAX(type=f32,ne=[262144,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):               122865 runs -     8.20 us/run -     2048 kB/run -  238.28 GB/s
  SOFT_MAX(type=f32,ne=[262144,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                36873 runs -    28.66 us/run -     8192 kB/run -  272.61 GB/s
  SOFT_MAX(type=f32,ne=[262144,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                9225 runs -   108.51 us/run -    32768 kB/run -  288.13 GB/s
  SOFT_MAX(type=f32,ne=[524288,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                98292 runs -    10.24 us/run -     4096 kB/run -  381.65 GB/s
  SOFT_MAX(type=f32,ne=[524288,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                32784 runs -    31.74 us/run -    16384 kB/run -  492.43 GB/s
  SOFT_MAX(type=f32,ne=[524288,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0):                8721 runs -   121.20 us/run -    65536 kB/run -  516.19 GB/s
```
2025-12-09 12:58:56 +01:00
Oliver Simons a84dfd3e10 CUDA: Add Cooperative-Groups-based parallelization of ncols in softmax
Old implementation parallelizes rows across SMs, which does not fit the
needs of backend-sampling (where we have ncols >> nrows and thus want to
parallelize ncols across SMs)
2025-12-09 12:58:56 +01:00