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reduce kv cache from available memory

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Lizonghang 2024-11-28 20:21:21 +04:00
parent 9858d90ce4
commit 45a1e55eec
5 changed files with 25 additions and 7 deletions
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17
common/profiler.cpp
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@ -876,8 +876,10 @@ static float device_memory_access_delay(struct device_info & dev_info, int n_lay
#endif
}
static float device_disk_access_delay(struct device_info & dev_info, int n_layers) {
struct model_params n_params = dev_info.model_params;
static float device_disk_access_delay(struct device_info & dev_info, struct llama_model * model, const struct llama_context_params cparams) {
auto n_params = dev_info.model_params;
int n_layers = llama_model_n_layers(model);
double kv_size_gb = static_cast<double>(llama_model_kvcache_size(model, cparams)) / 1e9; // convert to GB
int64_t total_bytes = 0;
total_bytes += n_params.layer_f32 * 4 +
@ -895,13 +897,18 @@ static float device_disk_access_delay(struct device_info & dev_info, int n_layer
n_params.output_q80;
float total_gbytes = (double)total_bytes / 1e9; // convert to GB
float mem_avail = dev_info.memory.available_physical * 1024.0f * 1024.0f * 1024.0f / 1e9; // convert to GB
float mem_avail = dev_info.memory.available_physical * 1024.0f * 1024.0f * 1024.0f / 1e9; // convert to GB
mem_avail -= static_cast<float>(kv_size_gb);
// todo: consider activations which also consumes the available memory
#ifdef __linux__
float disk_read_bw = dev_info.disk.read_seq_bw; // GB/s
#else
float disk_read_bw = dev_info.disk.read_rnd_bw; // GB/s
#endif
return std::max(0.0, static_cast<double>(total_gbytes - mem_avail) / disk_read_bw * 1000); // convert to ms
}
void device_print_props(struct device_info * dev_info_set, int n, struct llama_model * model) {
void device_print_props(struct device_info * dev_info_set, int n, struct llama_model * model, const struct llama_context_params cparams) {
LOG_INF("\n-------------------------------------------------------------------------------------------\n");
LOG_INF("| Property ");
for (int i = 0; i < n; ++i) {
@ -1255,7 +1262,7 @@ void device_print_props(struct device_info * dev_info_set, int n, struct llama_m
int n_layers = llama_model_n_layers(model);
latency += device_compute_delay(dev_info_set[0], n_layers);
latency += device_memory_access_delay(dev_info_set[0], n_layers);
latency += device_disk_access_delay(dev_info_set[0], n_layers); // if physical memory is not enough, some tensor weights will be released from memory and reloaded by mmap later
latency += device_disk_access_delay(dev_info_set[0], model, cparams); // if physical memory is not enough, some tensor weights will be released from memory and reloaded by mmap later
LOG_INF("| Token latency (ms) ");
LOG_INF("| %-10.2f ", latency);