tests : speed up tensor data generation and model saving ( #31145 )
tests : speed up tensor data generation and model saving
Refactor save_models to create only the model, not a llama_context,
which is not needed for saving. Replace the slow std::normal_distribution
draw with a splitmix64 + box-muller normal generator.
Assisted-by: dsh:llama.cpp/ggml-org/DeepSeek-V4-Flash-Vision-Exp-GGUF (Mac Studio, M2 Ultra, 192GB)
tests : use a shared pool of normal draws for tensor data
Generate a pool of normal draws once with std::mt19937 and
std::normal_distribution, then have every tensor copy a cyclic slice of
it instead of running a per-tensor box-muller. The name-keyed slice
selection keeps the draw deterministic.
Assisted-by: dsh:llama.cpp/ggml-org/DeepSeek-V4-Flash-Vision-Exp-GGUF (Mac Studio, M2 Ultra, 192GB)
tests : log the size of saved models
Report the produced file size in bytes and MB after each save.
Assisted-by: dsh:llama.cpp/ggml-org/DeepSeek-V4-Flash-Vision-Exp-GGUF (Mac Studio, M2 Ultra, 192GB)
tests : simplify the model save log
Put the model name, target and size on one line per saved model.
Assisted-by: dsh:llama.cpp/ggml-org/DeepSeek-V4-Flash-Vision-Exp-GGUF (Mac Studio, M2 Ultra, 192GB)
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Attestations:
https://github.com/ggml-org/llama.cpp/attestations/60447535
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