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llama : check LLAMA_TRACE env for extra logging #4929

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Jan 14, 2024
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32 changes: 18 additions & 14 deletions llama.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -2190,6 +2190,11 @@ struct llama_model_loader {
LLM_KV llm_kv = LLM_KV(LLM_ARCH_UNKNOWN);

llama_model_loader(const std::string & fname, bool use_mmap, const struct llama_model_kv_override * param_overrides_p) : file(fname.c_str(), "rb") {
int trace = 0;
if (getenv("LLAMA_TRACE")) {
trace = atoi(getenv("LLAMA_TRACE"));
}

struct gguf_init_params params = {
/*.no_alloc = */ true,
/*.ctx = */ &ctx_meta,
Expand Down Expand Up @@ -2242,11 +2247,10 @@ struct llama_model_loader {
type_max = type;
}

// TODO: make runtime configurable
#if 0
struct ggml_tensor * meta = ggml_get_tensor(ctx_meta, gguf_get_tensor_name(ctx_gguf, i));
LLAMA_LOG_INFO("%s: - tensor %4d: %32s %-8s [ %s ]\n", __func__, i, ggml_get_name(meta), ggml_type_name(type), llama_format_tensor_shape(meta).c_str());
#endif
if (trace > 0) {
struct ggml_tensor * meta = ggml_get_tensor(ctx_meta, gguf_get_tensor_name(ctx_gguf, i));
LLAMA_LOG_INFO("%s: - tensor %4d: %32s %-8s [ %s ]\n", __func__, i, ggml_get_name(meta), ggml_type_name(type), llama_format_tensor_shape(meta).c_str());
}
}

switch (type_max) {
Expand Down Expand Up @@ -6451,15 +6455,15 @@ static uint8_t llama_token_to_byte(const llama_vocab& vocab, llama_token id) {
static llama_token llama_byte_to_token(const llama_vocab & vocab, uint8_t ch) {
static const char * hex = "0123456789ABCDEF";
switch (llama_vocab_get_type(vocab)) {
case LLAMA_VOCAB_TYPE_SPM: {
const char buf[7] = { '<', '0', 'x', hex[ch >> 4], hex[ch & 15], '>', 0 };
return vocab.token_to_id.at(buf);
}
case LLAMA_VOCAB_TYPE_BPE: {
return vocab.token_to_id.at(bytes_to_unicode_bpe(ch));
}
default:
GGML_ASSERT(false);
case LLAMA_VOCAB_TYPE_SPM: {
const char buf[7] = { '<', '0', 'x', hex[ch >> 4], hex[ch & 15], '>', 0 };
return vocab.token_to_id.at(buf);
}
case LLAMA_VOCAB_TYPE_BPE: {
return vocab.token_to_id.at(bytes_to_unicode_bpe(ch));
}
default:
GGML_ASSERT(false);
}
}

Expand Down