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quantize : improve tensor-type pattern matching (#13033)

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This commit is contained in:
Ed Addario
2025-05-13 18:12:31 +01:00
committed by GitHub
parent 71bdbdb587
commit e5c834f718
2 changed files with 26 additions and 87 deletions
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24
src/llama-quant.cpp
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@ -14,6 +14,12 @@
#include <thread>
#include <unordered_map>
// Quantization types. Changes to this struct must be replicated in quantize.cpp
struct tensor_quantization {
std::string name;
ggml_type quant = GGML_TYPE_COUNT;
};
static void zeros(std::ofstream & file, size_t n) {
char zero = 0;
for (size_t i = 0; i < n; ++i) {
@ -48,12 +54,6 @@ struct quantize_state_impl {
{}
};
// changes to this struct must be replicated in quantize.cpp
struct tensor_quantization {
std::string name;
ggml_type quant = GGML_TYPE_COUNT;
};
static void llama_tensor_dequantize_impl(
ggml_tensor * tensor, std::vector<no_init<float>> & output, std::vector<std::thread> & workers,
const size_t nelements, const int nthread
@ -796,17 +796,19 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
// unless the user specifies a type
if (params->tensor_types) {
const std::vector<tensor_quantization> & tensor_types = *static_cast<const std::vector<tensor_quantization> *>(params->tensor_types);
const std::string tensor_name(tensor->name);
for (const auto & [tname, qtype] : tensor_types) {
if (std::regex pattern(tname); std::regex_search(tensor->name, pattern)) {
if (qtype != new_type) {
LLAMA_LOG_DEBUG("(overriding %s -> %s), ", ggml_type_name(new_type), ggml_type_name(qtype));
if (std::regex pattern(tname); std::regex_search(tensor_name, pattern)) {
if (qtype != new_type) {
LLAMA_LOG_DEBUG("(overriding %s) ", ggml_type_name(new_type));
new_type = qtype;
break; // if two or more types are specified for the tensor, first match wins
}
new_type = qtype;
break;
}
}
}
}
if (params->token_embedding_type < GGML_TYPE_COUNT && strcmp(tensor->name, "token_embd.weight") == 0) {
new_type = params->token_embedding_type;
}