William Tambellini
c98681e6d5
ggml : upgrade init_tensor API to return a ggml_status (llama/11854)
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* 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
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Co-authored-by: slaren <slarengh@gmail.com>
2025-03-08 15:13:01 +02:00
Radoslav Gerganov
fdc21fc87b
rpc : early register backend devices (llama/11262)
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Early register RPC devices and do not propagate RPC specifics in the
llama model structures.
ref: #10609
2025-02-03 22:00:57 +02:00
Diego Devesa
3daeacad24
ggml : move AMX to the CPU backend (llama/10570)
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ggml : automatic selection of best CPU backend (llama/10606)
2024-12-08 20:14:35 +02:00
Diego Devesa
77e3e4a090
ggml : add support for dynamic loading of backends (llama/10469)
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* ggml : add support for dynamic loading of backends
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-12-08 20:14:35 +02:00
Diego Devesa
1d48457aa6
llama : refactor model loader with backend registry (llama/10026)
2024-11-15 15:21:04 +02:00
Diego Devesa
44bc2767fd
ggml : add backend registry / device interfaces to BLAS backend (llama/9752)
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* ggml : add backend registry / device interfaces to BLAS backend
* fix mmap usage when using host buffers
2024-11-01 10:19:05 +02:00
Diego Devesa
cf977670e6
ggml-backend : add device and backend reg interfaces (llama/9707)
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Also:
- metal : fix compute pass descriptor autorelease crash
- ggml-backend : add device description to CPU backend
- ggml: unify backend logging mechanism
2024-10-05 15:23:51 +03:00
Diego Devesa
1acfadb721
ggml-backend : add device and backend reg interfaces (llama/9707)
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Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2024-10-05 15:23:51 +03:00
Johannes Gäßler
c7515b0995
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>
2024-09-24 19:45:08 +03:00
Georgi Gerganov
e30c679928
whisper : reorganize source code + improve CMake ( #2256 )
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* scripts : update sync [no ci]
* files : reorganize [no ci]
* sync : llama.cpp
* cmake : link math library
* cmake : build normal ggml library
* files : move headers to include
* objc : fix path to ggml-metal.h
* ci : fix WHISPER_CUDA -> GGML_CUDA
* scripts : sync LICENSE [no ci]
2024-06-26 19:34:09 +03:00
