Diego Devesa
c5b0f4b5d9
llama : refactor model loader with backend registry ( #10026 )
2024-10-30 02:01:23 +01:00
Diego Devesa
6374743747
ggml : add backend registry / device interfaces to BLAS backend ( #9752 )
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* ggml : add backend registry / device interfaces to BLAS backend
* fix mmap usage when using host buffers
2024-10-07 21:55:08 +02:00
bandoti
d6fe7abf04
ggml: unify backend logging mechanism ( #9709 )
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* Add scaffolding for ggml logging macros
* Metal backend now uses GGML logging
* Cuda backend now uses GGML logging
* Cann backend now uses GGML logging
* Add enum tag to parameters
* Use C memory allocation funcs
* Fix compile error
* Use GGML_LOG instead of GGML_PRINT
* Rename llama_state to llama_logger_state
* Prevent null format string
* Fix whitespace
* Remove log callbacks from ggml backends
* Remove cuda log statement
2024-10-03 17:39:03 +02:00
Diego Devesa
c83ad6d01e
ggml-backend : add device and backend reg interfaces ( #9707 )
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Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2024-10-03 01:49:47 +02:00
Johannes Gäßler
424c5d00a9
ggml/examples: add backend support for numerical optimization (ggml/949)
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* CUDA eval works
* stochastic gradient descent op
* Adam except decay
* CUDA CROSS_ENTROPY_LOSS_BACK
* CUDA mnist-fc training works
* backend CLI arg
* refactor gguf load
* remove sched from opt_step_adam
* implement l1 regularization (weight decay)
* extra call to add optimizer
* initialize gradients with ggml_graph_reset
* gradient accumulation
* increment iter per eval instead of epoch
* adjust backend interfaces
* fix ggml_graph_reset without backend
* fix ggml graph export/import
* fixup
* rename
* revert ggml_opt changes
* more general CUDA repeat_back
* update documentation, fix CNN
* validation split
* add clarifying comment
* optimize PyTorch training
* adjust buffer size, thread count
* fix 0.0f validation split
* Update examples/mnist/mnist-common.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* fix gradient accumulation
* tensor flag for accumulators -> tensor hash set
* Update include/ggml.h
Co-authored-by: slaren <slarengh@gmail.com>
* Update tests/test-backend-ops.cpp
Co-authored-by: slaren <slarengh@gmail.com>
* Update tests/test-backend-ops.cpp
Co-authored-by: slaren <slarengh@gmail.com>
* fix test prints
* Update src/ggml-backend.c
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* better CUDA support for noncontiguous out_prod
* add comment
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: slaren <slarengh@gmail.com>
2024-09-20 21:15:05 +03:00
Georgi Gerganov
f3f65429c4
llama : reorganize source code + improve CMake ( #8006 )
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* scripts : update sync [no ci]
* files : relocate [no ci]
* ci : disable kompute build [no ci]
* cmake : fixes [no ci]
* server : fix mingw build
ggml-ci
* cmake : minor [no ci]
* cmake : link math library [no ci]
* cmake : build normal ggml library (not object library) [no ci]
* cmake : fix kompute build
ggml-ci
* make,cmake : fix LLAMA_CUDA + replace GGML_CDEF_PRIVATE
ggml-ci
* move public backend headers to the public include directory (#8122 )
* move public backend headers to the public include directory
* nix test
* spm : fix metal header
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* scripts : fix sync paths [no ci]
* scripts : sync ggml-blas.h [no ci]
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Co-authored-by: slaren <slarengh@gmail.com>
2024-06-26 18:33:02 +03:00