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2424 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
a3sh
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ccc7b5df0b |
fix MUSA compiler warning (llama/12704)
* fix MUSA compiler warning * replace (void) with GGML_UNUSED |
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Chenguang Li
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fbed36851e |
CANN: Support operator SIN COS ARGMAX (llama/12709)
* [CANN]support sin cos argmax Signed-off-by: noemotiovon <noemotiovon@gmail.com> * [CANN]codestyle adjustment Signed-off-by: noemotiovon <noemotiovon@gmail.com> * [CANN]Remove redundant code Signed-off-by: noemotiovon <noemotiovon@gmail.com> --------- Signed-off-by: noemotiovon <noemotiovon@gmail.com> Co-authored-by: noemotiovon <noemotiovon@gmail.com> |
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Alan Gray
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d1d847f184 |
Simplify and improve CUDA graphs through use of indirect copy pointers (llama/9017)
* CUDA: Simplify and improve CUDA graphs through use of indirect copy pointers Previously there was complexity in the CUDA graphs implementation due frequently changing parameters to copy kernels associated with K and V cache pointers. This patch simplifies by using indirection to avoid such parameters frequently changing, avoiding the need for frequent graph updates. Fixes #12152 * Addressed comments * fix HIP builds * properly sync to stream * removed ggml_cuda_cpy_fn_ptrs * move stream sync before free * guard to only use indirection with graphs * style fixes * check for errors --------- Co-authored-by: slaren <slarengh@gmail.com> |
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hipudding
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337f91d4a6 |
CANN: Fix failed test cases (llama/12708)
* CANN: Fix memory waste in aclnn_tensor * CANN: fix backend ops fail * CANN: fix acl_tensor memory alloc. * CANN: format * CANN: remove trailing whitespace |
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lhez
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317a0031f9 |
opencl: use max_alloc_size in backend ctx instead of querying again (llama/12705)
|
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Jeff Bolz
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b243416918 |
vulkan: Implement split_k for coopmat2 flash attention. (llama/12627)
When using group query attention, we have one workgroup per KV batch and this can be very few workgroups (e.g. just 8 in some models). Enable split_k to spread the work across SMs. This helps a lot when the KV cache is large. |
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bandoti
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6e532c7187 | cmake: remove caching from vulkan coopmat checks (llama/12719) | ||
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Jeff Bolz
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2105b110d3 |
vulkan: Implement grouped query attention in the coopmat2 FA shader (llama/12559)
When adjacent batches of Q share the same batches of K/V, batch them into the same workgroup. For example, when: dst(128,32,1,1) = FA(q(128,1,32,1), k(128,16640,8,1), v(128,16640,8,1)) previously we would run 32 workgroups computing 1 result each, now we will run 8 workgroups computing 4 results each. This doesn't directly translate to better performance (at least when you have >=32 SMs), but in a subsequent change I'll enable split_k which will scale much better with 4x fewer workgroups. |
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0cc4m
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f82622180f | Vulkan: Fix mmq int dot float cache size (llama/12722) | ||
Diego Devesa
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a71c64512a |
llama : add option to override model tensor buffers (llama/11397)
* llama : add option to override tensor buffers * ggml : fix possible underflow in ggml_nbytes |
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Georgi Gerganov
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1e9c2f87f1 |
ggml : simplify Arm fp16 CPU logic (ggml/1177)
* ggml : simlpify Arm fp16 CPU logic ggml-ci * cont : bring back CUDA/MUSA checks ggml-ci |
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Sigbjørn Skjæret
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06ce8f83e6 |
CUDA: don't convert BF16 weights to FP32 (ggml/1174)
* add bf16 support * use convert_from_bf16_cuda instead of convert_unary_cuda for f32 * revert 7ec5085 * move functionality into convert_unary with constexpr |
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Daniel Bevenius
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8b92060a10
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coreml : set convert_to="mlprogram" in convert
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* coreml : skip model load in convert-whisper-to-coreml.py
This commit updates the conversion process for Whisper models to use the
"mlprogram" format instead of "neuralnetwork".
The motivation for this change is that when using the "neuralnetwork"
format the underlying model produced is based on protobuf and my
understanding is that there are limitations to this format, such as
sizes of strings and the complexity of the model.
Currently when trying to convert larger models such as large-v3 the
conversion fails but succeeds for smaller models.
The "mlprogram" format is a more recent addition to CoreML and is
designed to be more flexible and powerful, allowing for more complex
models and larger data types. This seems to work for larger and smaller
models alike and unless I'm there are considerations that I'm not aware
of I think this is what we should be using moving forward.
The error that is generated for large models is the following:
```console
Running MIL backend_neuralnetwork pipeline: 100%|█████████| 9/9 [00:00<00:00, 35.44 passes/s]
Translating MIL ==> NeuralNetwork Ops: 100%|███████████| 5641/5641 [03:31<00:00, 26.65 ops/s]
Traceback (most recent call last):
File "/Users/danbev/work/ai/whisper-work/models/convert-whisper-to-coreml.py", line 322, in <module>
encoder = convert_encoder(hparams, encoder, quantize=args.quantize)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/danbev/work/ai/whisper-work/models/convert-whisper-to-coreml.py", line 255, in convert_encoder
model = ct.convert(
^^^^^^^^^^^
File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.11/site-packages/coremltools/converters/_converters_entry.py", line 635, in convert
mlmodel = mil_convert(
^^^^^^^^^^^^
File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.11/site-packages/coremltools/converters/mil/converter.py", line 186, in mil_convert
return _mil_convert(
^^^^^^^^^^^^^
File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.11/site-packages/coremltools/converters/mil/converter.py", line 245, in _mil_convert
return modelClass(
^^^^^^^^^^^
File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.11/site-packages/coremltools/models/model.py", line 489, in __init__
self.__proxy__, self._spec, self._framework_error = self._get_proxy_and_spec(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.11/site-packages/coremltools/models/model.py", line 550, in _get_proxy_and_spec
_MLModelProxy(
ValueError: basic_string
```
Refs: https://github.com/ggml-org/whisper.cpp/issues/3012
|
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Daniel Bevenius
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7858eddd10
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ci : disable freeBSD job in build.yml (#3064)
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This commit disables the FreeBSD job in build.yml of the GitHub Actions workflow. The motivation for this is that this job seems to stall and timeout from time to time, taking up to 6 hours to complete/cancel. |
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Daniel Bevenius
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3a88f1e504
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examples : add HEAPU8 to exported runtime methods (#3062)
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This commit adds `HEAPU8` to the list of exported methods. The motivation for this commit is that currently this is causing an error on Window systems where HEAPU8 in undefined, which results in the following error message in the web console: ```console main.js:1 Uncaught TypeError: Cannot read properties of undefined (reading 'buffer') at __emval_get_property (main.js:1:1363125) at 003a453a:0xc4a47 at 003a453a:0xc51cd at Object.full_default (eval at craftInvokerFunction (main.js:1:1347011), <anonymous>:9:10) at whisper.cpp/:647:42 ``` Resolves: https://github.com/ggml-org/whisper.cpp/issues/3059 |
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KITAITI Makoto
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f0d2bfbfb7
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ruby : make Ruby bindings installed with build options (#3056)
* Fix signature of URI.new7s return value * Use path instead of string | _ToPath * Add document comment to RBS * Remove unnecessary build flags * Remove unnecessary line * Remove files have become unnecessary * Make gem install accept build options for whisper.cpp * Add instraction for build options in README * Add methods for check to Options * Test build options * Rename: configs -> options * Add assert_installed assertion * Use assert_installed * Remove unused attribute * Extract dependency check logic as Dependencies class * Update README * Add WHISPER_FFMPEG option * Test extra build options only on local test * Bump version to 1.3.2 [skip ci] |
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Sacha Arbonel
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170b2faf75
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whisper : add no_context parameter to whisper_params (#3045)
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Fujimoto Seiji
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f8a3509b6d
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examples : add FFmpeg v7.0 support to ffmpeg-transcode.cpp (#3038)
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FFmpeg introduced a new channel layout API that uses `AVChannelLayout` interface in v6.0. It subsequently dropped the old bitmask-based API in v7.0. This updates decode_audio() to support the new channel layout API, so that we can compile `whisper-cli` and `whisper-server` with FFmpeg v7.0 or later. Tested on on Ubuntu 24.10 with FFmpeg v7.0.2. Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net> |
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KITAITI Makoto
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2a2d21c75d
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ruby: use CMake in build process (#3043)
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* Use CMake to build shared object * Make Rakefile follow change of build process * Add test for packaging * Run CI for Ruby bindings almost always because each CMakeLists.txt might affect Ruby bindings * Enable PIC * Bump Ruby version to 3.2 on CI * Check libgomp * Check dependency of whisper.cpp accurately |
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Jeff Klassen
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9cfcd6cc45
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docs : update README.md to note newer nvidia gpus (#3031)
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Resolves: https://github.com/ggml-org/whisper.cpp/issues/3030 |
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Lin Xiaodong
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e853620270
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addon.node : support max_context api for addon.node (#3025)
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* feat: support max content * feat: show api in test file --------- Co-authored-by: linxiaodong <calm.lin@wukongsch.com> |
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Georgi Gerganov
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549db9376f
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whisper : reduce delta_min from 1000ms to 100ms (#3028)
ggml-ci |
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Fujimoto Seiji
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33a25e4dda
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docs : document how to use 'WHISPER_FFMPEG' build option (#3029)
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FFmpeg integration was introduced in 1b51fdf by William Tambellini, but not mentioned in the main documentation. Add a short guide on how to enable the feature. Confirmed to work on both Ubuntu 24.04 and Fedora 39. Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net> |
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Ekaitz Zárraga
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43f5030aeb
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docs : fix README.md (#3024)
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Daniel Bevenius
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cf794133de
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xcf : use check for visionos build version (#3021)
This commit adds a check for the visionos build version used with vtool in build-xcframework.sh. The script now checks the Xcode version and determines whether to use "xros" or "visionos" for the build version. This commit also uses xcrun for the vtool so that the version of vtool in xcode command line tools is used instead of the one in the system path. Refs: https://github.com/ggml-org/whisper.cpp/pull/2994#issuecomment-2773292223 |
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Olli
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ef6cf357e7
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ruby : fix types of arguments for rb_get_kwargs in ruby_whisper_params.c (#3022)
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Change param_names and values not to be references for rb_get_kwargs - so it can be compiled on ruby 3.3.6 and 3.4.1 |
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Olli
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b1f5c11b32
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ruby : Update uri.rb (#3016)
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Bugfix ... without this Pathname the "/" operator wouldn't work and will throw an error |
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Greg Sadetsky
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ada745f4a5
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models : fix dead link to models in readme (#3006)
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KITAITI Makoto
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01985c22c0
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ruby : change homepage URI in Ruby gemspec (#3007)
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Fujimoto Seiji
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448f3d3b93
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tests : add script to benchmark whisper.cpp on LibriSpeech corpus (#2999)
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* tests : add script to benchmark whisper.cpp on LibriSpeech corpus LibriSpeech is a widely-used benchmark dataset for training and testing speech recognition models. This adds a set of scripts to measure the recognition accuracy of whisper.cpp models, following the common benchmark standards. Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net> * Document how to prepare `whisper-cli` and model files Feedback from Daniel Bevenius. This adds a short code example how to prepare the `whisper-cli` command, to make the initial setup step a little bit clearer. Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net> * tests : Simplify how to set up Python environment Based on a feedback from Georgi Gerganov. Instead of setting up a virtual environment in Makefile, let users set up the Python environment. This is better since users may have their own preferred workflow/toolkit. Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net> --------- Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net> |
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Fujimoto Seiji
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e6234cd435
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whisper : fix "bench-all outputs an invalid result on larger models" (#3002)
The benchmark script 'scripts/bench-all.sh' assumes that the 11th field of the output line is a timestamp. This assumption does not hold when the target model takes a bit longer to process. Fix this issue by introducing an explicit whitespace to the output lines of `whisper_print_timings()`. Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net> |
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Georgi Gerganov
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2b6d0d2200
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rename : ggerganov -> ggml-org (#3005) | ||
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Daniel Bevenius
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0b17d4507e
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examples : update server.py to match github pages app [no ci] (#3004)
This commit updates examples/server.py which is used to serve the wasm examples locally. The changes include: - Added a redirect from the root URL to /whisper.cpp. So now accessing http://localhost:8000/ will redirect to http://localhost:8000/whisper.cpp/ which matches the url for the app deployed to github pages. - Custom handling for coi-serviceworker.js to serve it to avoid and error in the console. This file is not strictly necessary for the local server to work as the headers are provided already but it is nice to not have an error in the console. - Fixed the shutdown of the server to ensure it exits cleanly on Ctrl+C. Previously it would continue to hang onto the port even after the processed had exited. |
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Daniel Bevenius
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77e0c86ab6
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whisper.wasm : fix unknown language issue (#3000)
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* whisper.wasm : fix unknown language issue This commit addresses an issue with whisper.wasm where the following error was being displayed when running the application in github pages: ``` whisper_lang_id: unknown language 'д=␙c' ``` This turned out to be a memory corruption issue and further details can be found in the reference issue below. Refs: https://github.com/ggerganov/whisper.cpp/issues/2998 |
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Georgi Gerganov
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eac1bc9c47 |
examples : add new sources
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ggml-ci |
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Georgi Gerganov
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cbde66d913 | sync : ggml | ||
cmdr2
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513ecf8dc0 |
cpu: move all the operators into a separate c++ file (except mul_mat) (ggml/1167)
* cpu: refactor SIMD mappings and vectorized op functions into separate files * Fix warning for ggml_float to float * Fix warnings * cpu: move all the operations (except mul_mat) to a separate c++ file * fix whitespace * Update ggml/src/ggml-cpu/vec.h Co-authored-by: Diego Devesa <slarengh@gmail.com> * Fix PR comments - use GGML_UNUSED, use cassert in ops.cpp * Reverse the order of import for ops.h and vec.h, to match what was present in ggml-cpu.c previously --------- Co-authored-by: Diego Devesa <slarengh@gmail.com> |
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Daniel Bevenius
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cce5daf17b
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docs : add xcframework section to README.md [no ci] (#2997)
This adds a section to the README.md file that describes how to use the XCFramework. The modification for this is that is not obvious how to use the XCFramework and and example will help. One thing to note is that the example is using the latest release including the checksum. We are thinking about how we might automate this in the future but for now this is a good start. |
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Georgi Gerganov
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2c502b3c00
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readme : update roadmap link
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Georgi Gerganov
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51c6961c7b | release : v1.7.5 v1.7.5 | ||
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Georgi Gerganov
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503a786c9a
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bench : update numbers [no ci] (#2993) | ||
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Georgi Gerganov
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ad4e350933 |
sync : ggml
ggml-ci |
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Chenguang Li
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d7a9346ab1 |
get_rows and dup optimization (llama/12671)
* [CANN]get_rows and dup optimization. Co-authored-by: hipudding <huafengchun@gmail.com> Signed-off-by: noemotiovon <noemotiovon@gmail.com> * [CANN]GET_ROWS and CPY/DUP optimization Co-authored-by: hipudding <huafengchun@gmail.com> Signed-off-by: noemotiovon <noemotiovon@gmail.com> * [CANN]code style adjustment Signed-off-by: noemotiovon <noemotiovon@gmail.com> * [CANN]code style adjustment Signed-off-by: noemotiovon <noemotiovon@gmail.com> * [CANN]code style adjustment Signed-off-by: noemotiovon <noemotiovon@gmail.com> * [CANN]code style adjustment Signed-off-by: noemotiovon <noemotiovon@gmail.com> --------- Signed-off-by: noemotiovon <noemotiovon@gmail.com> Co-authored-by: noemotiovon <noemotiovon@gmail.com> Co-authored-by: hipudding <huafengchun@gmail.com> |
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Junil Kim
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b63d23f728 |
opencl : fix memory allocation size (llama/12649)
issue: https://github.com/CodeLinaro/llama.cpp/pull/17#issuecomment-2760611283 This patch fixes the memory allocation size not exceeding the maximum size of the OpenCL device. |
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Georgi Gerganov
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f6ce10e4a1 |
metal : use F32 prec in FA kernels (llama/12688)
* metal : use F32 prec in FA kernels ggml-ci * cont : fix FA vec kernel ggml-ci |
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R0CKSTAR
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6cb2b86581 |
Fix clang warning in gguf_check_reserved_keys (llama/12686)
* Fix clang warning in gguf_check_reserved_keys Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> * Fix typo Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> --------- Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> |
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Wagner Bruna
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801d6bd809 | vulkan: fix build when glslc doesn't support coopmat (llama/12683) | ||
Romain Biessy
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ddf7e6a15d |
SYCL: Rename oneMKL to oneMath (llama/12192)
* Rename oneMKL Interface to oneMath * Use oneMath for Intel vendor * Rename occurences to mkl * clang-format * Silence verbose warnings * Set oneMath HIP_TARGETS * Fix silence warnings * Remove step to build oneMath from build instructions * Use fixed oneMath version * Remove INTEL_CPU * Fold CMake oneDNN conditions * Use Intel oneMKL for Intel devices * Improve CMake message * Link against MKL::MKL_SYCL::BLAS only * Move oneMath documentation to Nvidia and AMD sections |
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Akarshan Biswas
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0d42097fd3 | SYCL: switch to SYCL namespace (llama/12674) | ||
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a3sh
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842b9c984c |
ggml : faster ssm scan (llama/10558)
* faster ssm_scan * delete unused commnet * clang format * add space * modify unnecessary calculations * faster ssm conv implementatioin * modify file name with dash |