* threading: support for GGML_SCHED_PRIO_LOW, update thread info on Windows to avoid throttling
We talked about adding LOW priority for GGML threads in the original threadpool PR.
It might be useful for some cases to avoid contention.
Latest Windows ARM64 releases started parking (offlining) the CPU cores
more aggresively which results in suboptimal performance with n_threads > 4.
To deal with that we now disable Power Throttling for our threads for the NORMAL
and higher priorities.
Co-authored-by: Diego Devesa <slarengh@gmail.com>
* threading: disable SetThreadInfo() calls for older Windows versions
* Update tools/llama-bench/llama-bench.cpp
Co-authored-by: Diego Devesa <slarengh@gmail.com>
---------
Co-authored-by: Diego Devesa <slarengh@gmail.com>
* llama/ggml: add LLM training support
more compact progress bar
llama_save_model_to_file
llama_opt_param_filter
ggml_graph_dup force_grads
refactor ggml_opt, fix test-opt
* remove logits_all
* refactor CUDA implementation for ACC
* reset graph at beginning of opt period
RPC_CMD_SET_TENSOR always returns an empty response and we send this 4
times per token. We can improve TG speed if we don't wait for this empty
response.
The performance impact of this change depends on the network latency.
Add RPC_CMD_HELLO for getting the version of the protocol implemend by
the server. Follow the semantic versioning rules at https://semver.org
Hopefully this bring better user experience when we make breaking
changes at the protocol level and avoid issues like #12465
* ggml : FA with different K, V head sizes (CPU)
ggml-ci
* metal : add FA with HS=192
* metal : extend FA to support different K and V head sizes
ggml-ci
* metal : add FA vector kernels for heads K 192 and V 128
ggml-ci
* ggml : restrict op on other backends to equal head sizes
ggml-ci
* metal : optimize FA-vec kernel
ggml-ci
* metal : FA remove mq registers
* metal : improve MoE mul_mat_id condition
ggml-ci
* metal : fix comments + remove unnecessary addition
ggml-ci
* metal : avoid too much shared memory usage with mul_mat_id
ggml-ci
* rpc : send hash when tensor data is above some fixed threshold
ref #10095
* rpc : put cache under $HOME/.cache/llama.cpp
* try to fix win32 build
* another try to fix win32 build
* remove llama as dependency
* move op key generate function to kOpCaps
* fix op desc print
* try fix rms_norm
* Revert "try fix rms_norm"
This reverts commit 33b296098012909cb482fc29b52b28098dc971cd.
* add quantization type support by converting them to float
* enable quantization tensor for mulmat in gpu/npu
* fix asan error
* add log and assert
* insert output convert operator after mulmat
* add log
* fix some error in running
* disable permute again
* add log
* add error function
* Revert "add error function"
This reverts commit f92ff47798ac8053fb776c55efbb1a98469c7af1.
* add log
* more log
* disable convert op in graph
* wip
* add f16 config for graph
* set f16 precision for f16 graph
* fix override data type
* add comment
* add config flag to enable quantize type
* add log
* more quantized type for cpu and gpu backend
* enable all quant types for cpu and gpu backend
* rename
* wip
* add log
* remove unused functions
* skip permute
* remove get_qnn_op_input_param_count
* fallback to generic_get_op_desc if no op_desc
* revert 'skip permute'
* Revert "revert 'skip permute'"
This reverts commit 5761e31fd23c69c4cabf6fd9fac1a0d3e5a74968.
* wip
* add log
* print qnn tensor type
* add log
* limit the max size of tensor
* add log
* fix tensor size limiter
* small improve on tensor info printer
* disable sqrt and div to pass test-backend-ops for 8 gen 2
* remove debug log in release build
* add log
* skip permute in src
* wip
* disable reshape
* skip mul at decoder start
* wip
* add log
* add qnn_scoped_timer
* add perf tracker in graph
* add cmake options GGML_QNN_ENABLE_PERFORMANCE_TRACKING
* fix flag name
* use milli-second
* wip
* fix comment string
* add file for profiler
* change qnn-cpu to GGML_BACKEND_DEVICE_TYPE_ACCEL, so that we can run tests on cpu
* wip
* profiler: refactoring
* wip
* add implement for print_profile_events
* set-up profiler for graph
* set profiler to graph execute
* pretty print events
* unified log print prefix
* print event count
* enable optrace
* print duration at event end
* wip
* add more detailed soc information
* wip
* move device caps array into qnn-lib.cpp
* remove lib_name in device_context
* move get_graph_key_from_cgraph to graph.cpp
* add override type for tensor key
* use override_type instead of original data type for graph key
* append op type to tensor name to fix error in qwen
* remove todo
* wip
* ggml-cpu: Faster IQ1 mul_mat_vec on AVX2 using BMI2 instructions
* cmake: Add GGML_BMI2 build option
* ggml: enable BMI2 on relevant CPU variants
* ggml-cpu: include BMI2 in backend score
* ggml-cpu: register BMI2 in ggml_backend_cpu_get_features
* ggml-cpu: add __BMI2__ define when using MSVC
* Add include files for std::min/max and std::toupper/tolower
* win32: move _USE_MATH_DEFINES before includes to ensure M_PI is defined
* Use GGML_RESTRICT instead of "restrict" keyword everywhere, and use "__restrict" in MSVC plain C mode
* win32: only use __restrict in MSVC if C11/C17 support is not enabled
---------
Co-authored-by: Marcus Groeber <Marcus.Groeber@cerence.com>
* Upgrade init_tensor API to return a ggml_status
To prepare for an 'abort-free' ggml
(ggml not to abort on OOMs but return a OOM status),
as agreeed with Diego in the ggml repo,
upgrade the init_tensor() and view_init() APIs
to return a ggml_status.
* misc fixes
---------
Co-authored-by: slaren <slarengh@gmail.com>
* ggml-cpu: Add CPU backend support for KleidiAI library
* Add environmental variable GGML_KLEIDIAI_SME
* Add support for multithread LHS conversion
* Switch kernel selection order to dotprod and i8mm
* updates for review comments
* More updates for review comments
* Reorganize and rename KleidiAI files
* Move ggml-cpu-traits.h to source file
* Update cmake for SME build and add alignment for SME
* Remove append GGML_USE_CPU_KLEIDIAI to the GGML_CDEF_PUBLIC list
* CUDA: use mma PTX instructions for FlashAttention
* __shfl_sync workaround for movmatrix
* add __shfl_sync to HIP
Co-authored-by: Diego Devesa <slarengh@gmail.com>
* GGUF: C++ refactor, backend support, misc fixes
remove ggml_tensor.backend
update CODEOWNERS [no ci]
remove gguf_get_data from API
revise GGUF API data types
hongruichen
Radoslav Gerganov
Max Krasnyansky
Xuan-Son Nguyen
Johannes Gäßler
David Huang
Diego Devesa
SXX
Acly
Georgi Gerganov
Molly Sophia
Rémy O
mgroeber9110
William Tambellini
Aaron Teo
Charles Xu
bandoti
Danny Milosavljevic