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author | Johannes Gäßler <johannesg@5d6.de> | 2023-06-14 19:47:19 +0200 |
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committer | GitHub <noreply@github.com> | 2023-06-14 19:47:19 +0200 |
commit | 254a7a7a5ff4c874ff8488f1f5cbdd7e9c89d682 (patch) | |
tree | 65f35a2d189f3cf6f1f625b2acb343c2dd77790d /examples/common.cpp | |
parent | 92549202659fc23ba9fec5e688227d0da9b06b40 (diff) |
CUDA full GPU acceleration, KV cache in VRAM (#1827)
* Fixed CUDA RoPE
* ggml_cuda_mul_mat_vec_p021
* ggml_cuda_scale
* ggml_cuda_diag_mask_inf
* ggml_is_permuted
* ggml_cuda_cpy
* flatten rows for ggml_cuda_op
* Added a --low-vram option
* Fixed Windows performance
* Fixed LLAMA_CUDA_DMMV_Y > 1 for WizardLM
Diffstat (limited to 'examples/common.cpp')
-rw-r--r-- | examples/common.cpp | 8 |
1 files changed, 8 insertions, 0 deletions
diff --git a/examples/common.cpp b/examples/common.cpp index df69f273..dc69e537 100644 --- a/examples/common.cpp +++ b/examples/common.cpp @@ -332,6 +332,12 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) { #else fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set a tensor split.\n"); #endif // GGML_USE_CUBLAS + } else if (arg == "--low-vram" || arg == "-lv") { +#ifdef GGML_USE_CUBLAS + params.low_vram = true; +#else + fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set lower vram usage.\n"); +#endif // GGML_USE_CUBLAS } else if (arg == "--no-mmap") { params.use_mmap = false; } else if (arg == "--mtest") { @@ -479,6 +485,7 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) { fprintf(stderr, " -ts SPLIT --tensor-split SPLIT\n"); fprintf(stderr, " how to split tensors across multiple GPUs, comma-separated list of proportions, e.g. 3,1\n"); fprintf(stderr, " -mg i, --main-gpu i the GPU to use for scratch and small tensors\n" ); + fprintf(stderr, " -lv, --low-vram don't allocate VRAM scratch buffer\n" ); #endif fprintf(stderr, " --mtest compute maximum memory usage\n"); fprintf(stderr, " --export export the computation graph to 'llama.ggml'\n"); @@ -528,6 +535,7 @@ struct llama_context * llama_init_from_gpt_params(const gpt_params & params) { lparams.n_gpu_layers = params.n_gpu_layers; lparams.main_gpu = params.main_gpu; memcpy(lparams.tensor_split, params.tensor_split, LLAMA_MAX_DEVICES*sizeof(float)); + lparams.low_vram = params.low_vram; lparams.seed = params.seed; lparams.f16_kv = params.memory_f16; lparams.use_mmap = params.use_mmap; |