remove redundant model loading log

This commit is contained in:
leejet 2025-09-07 22:45:45 +08:00
parent 5ed25a8cdd
commit 854fa231f1
2 changed files with 2 additions and 8 deletions

View File

@ -1966,7 +1966,7 @@ std::vector<TensorStorage> remove_duplicates(const std::vector<TensorStorage>& v
}
bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb) {
int64_t process_time_ms = 0;
int64_t process_time_ms = 0;
int64_t read_time_ms = 0;
int64_t memcpy_time_ms = 0;
int64_t copy_to_backend_time_ms = 0;
@ -1989,7 +1989,7 @@ bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb) {
std::vector<TensorStorage> dedup = remove_duplicates(processed_tensor_storages);
processed_tensor_storages = dedup;
curr_time_ms = ggml_time_ms();
process_time_ms = curr_time_ms - prev_time_ms;
process_time_ms = curr_time_ms - prev_time_ms;
prev_time_ms = curr_time_ms;
bool success = true;

View File

@ -557,8 +557,6 @@ public:
// load weights
LOG_DEBUG("loading weights");
int64_t t0 = ggml_time_ms();
std::set<std::string> ignore_tensors;
tensors["alphas_cumprod"] = alphas_cumprod_tensor;
if (use_tiny_autoencoder) {
@ -656,11 +654,7 @@ public:
ggml_backend_is_cpu(clip_backend) ? "RAM" : "VRAM");
}
int64_t t1 = ggml_time_ms();
LOG_INFO("loading model from '%s' completed, taking %.2fs", SAFE_STR(sd_ctx_params->model_path), (t1 - t0) * 1.0f / 1000);
// check is_using_v_parameterization_for_sd2
if (sd_version_is_sd2(version)) {
if (is_using_v_parameterization_for_sd2(ctx, sd_version_is_inpaint(version))) {
is_using_v_parameterization = true;