vbatts/llama.cpp
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finetune : add -ngl parameter (#3762)

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* Add '-ngl' support to finetune.cpp

* Add fprintf in ggml_cuda_op_add

When I tried CUDA offloading during finetuning following the readme, I got an assert here.
This probably isn't an important case because inference later gives a warning saying you should use f16 or f32 instead when using lora

* Add 'finetune.sh', which currently fails when using GPU

"error: operator (): Finetuning on tensors with type 'f16' is not yet supported"

* tweak finetune.sh

* Suppress some warnings in ggml.c

* Add f16 implementation to ggml_compute_forward_add_f16_f32

* Add an f16 case to ggml_add_cast_impl and llama_build_lora_finetune_graphs

* finetune.sh: Edit comments

* Add "add_f16_f32_f32_cuda"

* Tweak an error message

* finetune.sh: Add an optional LLAMA_MODEL_DIR variable

* finetune.sh: Add an optional LLAMA_TRAINING_DIR variable

* train : minor

* tabs to spaces

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
This commit is contained in:
Andrew Godfrey 2023-11-01 04:49:04 -07:00 • committed by GitHub
parent f0e209324a
commit 73bdcb395e
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8 changed files with 106 additions and 15 deletions
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common/train.cpp
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@ -1045,6 +1045,7 @@ struct train_params_common get_default_train_params_common() {
params.n_batch = 8;
params.n_gradient_accumulation = 1;
params.n_epochs = -1;
params.n_gpu_layers = 0;
params.custom_n_ctx = false;
@ -1080,6 +1081,7 @@ struct train_params_common get_default_train_params_common() {
params.adam_beta2 = 0.999f;
params.adam_gclip = 1.0f;
params.adam_eps_f = 0.0f;
return params;
}