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Native Erlang/OTP wrapper around llama.cpp with token-exact tiered KV cache; cache more warm state than fits in RAM

Retired package: Renamed - Renamed to barrel_inference: https://github.com/barrel-platform/barrel_inference

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erllama c_src llama.cpp ggml src ggml-cuda norm.cuh
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c_src/llama.cpp/ggml/src/ggml-cuda/norm.cuh

#include "common.cuh"
void ggml_cuda_op_norm(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
void ggml_cuda_op_group_norm(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
void ggml_cuda_op_rms_norm(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
void ggml_cuda_op_rms_norm_fused(ggml_backend_cuda_context & ctx, ggml_tensor * dst, ggml_tensor * mul_tensor);
void ggml_cuda_op_rms_norm_fused_add(ggml_backend_cuda_context & ctx,
ggml_tensor * dst,
ggml_tensor * mul_tensor,
ggml_tensor * add_tensor);
void ggml_cuda_op_rms_norm_back(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
void ggml_cuda_op_l2_norm(ggml_backend_cuda_context & ctx, ggml_tensor * dst);