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31 changes: 16 additions & 15 deletions llama.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -215,7 +215,7 @@ enum llm_arch {
LLM_ARCH_UNKNOWN,
};

static std::map<llm_arch, const char *> LLM_ARCH_NAMES = {
static const std::map<llm_arch, const char *> LLM_ARCH_NAMES = {
{ LLM_ARCH_LLAMA, "llama" },
{ LLM_ARCH_FALCON, "falcon" },
{ LLM_ARCH_GPT2, "gpt2" },
Expand All @@ -240,6 +240,7 @@ static std::map<llm_arch, const char *> LLM_ARCH_NAMES = {
{ LLM_ARCH_MINICPM, "minicpm" },
{ LLM_ARCH_GEMMA, "gemma" },
{ LLM_ARCH_STARCODER2, "starcoder2" },
{ LLM_ARCH_UNKNOWN, "(unknown)" },
};

enum llm_kv {
Expand Down Expand Up @@ -300,7 +301,7 @@ enum llm_kv {
LLM_KV_TOKENIZER_RWKV,
};

static std::map<llm_kv, const char *> LLM_KV_NAMES = {
static const std::map<llm_kv, const char *> LLM_KV_NAMES = {
{ LLM_KV_GENERAL_ARCHITECTURE, "general.architecture" },
{ LLM_KV_GENERAL_QUANTIZATION_VERSION, "general.quantization_version" },
{ LLM_KV_GENERAL_ALIGNMENT, "general.alignment" },
Expand Down Expand Up @@ -364,7 +365,7 @@ struct LLM_KV {
llm_arch arch;

std::string operator()(llm_kv kv) const {
return ::format(LLM_KV_NAMES[kv], LLM_ARCH_NAMES[arch]);
return ::format(LLM_KV_NAMES.at(kv), LLM_ARCH_NAMES.at(arch));
}
};

Expand Down Expand Up @@ -399,7 +400,7 @@ enum llm_tensor {
LLM_TENSOR_LAYER_OUT_NORM,
};

static std::map<llm_arch, std::map<llm_tensor, std::string>> LLM_TENSOR_NAMES = {
static const std::map<llm_arch, std::map<llm_tensor, std::string>> LLM_TENSOR_NAMES = {
{
LLM_ARCH_LLAMA,
{
Expand Down Expand Up @@ -832,46 +833,46 @@ struct LLM_TN {
llm_arch arch;

std::string operator()(llm_tensor tensor) const {
if (LLM_TENSOR_NAMES[arch].find(tensor) == LLM_TENSOR_NAMES[arch].end()) {
if (LLM_TENSOR_NAMES.at(arch).find(tensor) == LLM_TENSOR_NAMES.at(arch).end()) {
return "__missing__";
}
return LLM_TENSOR_NAMES[arch].at(tensor);
return LLM_TENSOR_NAMES.at(arch).at(tensor);
}

std::string operator()(llm_tensor tensor, const std::string & suffix) const {
if (LLM_TENSOR_NAMES[arch].find(tensor) == LLM_TENSOR_NAMES[arch].end()) {
if (LLM_TENSOR_NAMES.at(arch).find(tensor) == LLM_TENSOR_NAMES.at(arch).end()) {
return "__missing__";
}
return LLM_TENSOR_NAMES[arch].at(tensor) + "." + suffix;
return LLM_TENSOR_NAMES.at(arch).at(tensor) + "." + suffix;
}

std::string operator()(llm_tensor tensor, int bid) const {
if (LLM_TENSOR_NAMES[arch].find(tensor) == LLM_TENSOR_NAMES[arch].end()) {
if (LLM_TENSOR_NAMES.at(arch).find(tensor) == LLM_TENSOR_NAMES.at(arch).end()) {
return "__missing__";
}
return ::format(LLM_TENSOR_NAMES[arch].at(tensor).c_str(), bid);
return ::format(LLM_TENSOR_NAMES.at(arch).at(tensor).c_str(), bid);
}

std::string operator()(llm_tensor tensor, const std::string & suffix, int bid) const {
if (LLM_TENSOR_NAMES[arch].find(tensor) == LLM_TENSOR_NAMES[arch].end()) {
if (LLM_TENSOR_NAMES.at(arch).find(tensor) == LLM_TENSOR_NAMES.at(arch).end()) {
return "__missing__";
}
return ::format(LLM_TENSOR_NAMES[arch].at(tensor).c_str(), bid) + "." + suffix;
return ::format(LLM_TENSOR_NAMES.at(arch).at(tensor).c_str(), bid) + "." + suffix;
}

std::string operator()(llm_tensor tensor, const std::string & suffix, int bid, int xid) const {
if (LLM_TENSOR_NAMES[arch].find(tensor) == LLM_TENSOR_NAMES[arch].end()) {
if (LLM_TENSOR_NAMES.at(arch).find(tensor) == LLM_TENSOR_NAMES.at(arch).end()) {
return "__missing__";
}
return ::format(LLM_TENSOR_NAMES[arch].at(tensor).c_str(), bid, xid) + "." + suffix;
return ::format(LLM_TENSOR_NAMES.at(arch).at(tensor).c_str(), bid, xid) + "." + suffix;
}
};

//
// gguf helpers
//

static std::map<int32_t, const char *> LLAMA_ROPE_SCALING_TYPES = {
static const std::map<int32_t, const char *> LLAMA_ROPE_SCALING_TYPES = {
{ LLAMA_ROPE_SCALING_TYPE_NONE, "none" },
{ LLAMA_ROPE_SCALING_TYPE_LINEAR, "linear" },
{ LLAMA_ROPE_SCALING_TYPE_YARN, "yarn" },
Expand Down