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erllama

0.2.0
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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-cpu unary-ops.h
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c_src/llama.cpp/ggml/src/ggml-cpu/unary-ops.h 

#pragma once



#include "common.h"



#ifdef __cplusplus

extern "C" {

#endif



void ggml_compute_forward_abs(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_sgn(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_neg(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_step(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_tanh(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_elu(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_relu(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_sigmoid(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_hardsigmoid(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_exp(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_hardswish(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_sqr(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_sqrt(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_sin(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_cos(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_log(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_expm1(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_softplus(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_floor(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_ceil(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_round(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_trunc(const struct ggml_compute_params * params, struct ggml_tensor * dst);

void ggml_compute_forward_xielu(const struct ggml_compute_params * params, struct ggml_tensor * dst);



#ifdef __cplusplus

}

#endif