parent
0ea069b87b
commit
4be5ef556d
7 changed files with 27 additions and 427 deletions
|
@ -1,103 +0,0 @@
|
|||
// Evaluate a statically exported ggml computation graph with Metal
|
||||
//
|
||||
// - First, export a LLaMA graph:
|
||||
//
|
||||
// $ ./bin/main -m ../models/7B/ggml-model-q4_0.gguf --export
|
||||
//
|
||||
// - Run this tool to evaluate the exported graph:
|
||||
//
|
||||
// $ ./bin/metal llama.ggml
|
||||
//
|
||||
// The purpose of this tool is mostly for debugging and demonstration purposes.
|
||||
// The main limitation of exporting computation graphs is that their sizes are static which often
|
||||
// can be a problem for real-world applications.
|
||||
//
|
||||
|
||||
#include "ggml.h"
|
||||
#include "ggml-metal.h"
|
||||
|
||||
#include <cstdio>
|
||||
#include <cstring>
|
||||
#include <cstdlib>
|
||||
|
||||
int main(int argc, char ** argv) {
|
||||
ggml_time_init();
|
||||
|
||||
if (argc != 2) {
|
||||
fprintf(stderr, "Usage: %s llama.ggml\n", argv[0]);
|
||||
return -1;
|
||||
}
|
||||
|
||||
const char * fname_cgraph = argv[1];
|
||||
|
||||
// load the compute graph
|
||||
struct ggml_context * ctx_data = NULL;
|
||||
struct ggml_context * ctx_eval = NULL;
|
||||
|
||||
struct ggml_cgraph * gf = ggml_graph_import(fname_cgraph, &ctx_data, &ctx_eval);
|
||||
|
||||
// this allocates all Metal resources and memory buffers
|
||||
auto * ctx_metal = ggml_metal_init(1);
|
||||
|
||||
const size_t max_size_data = ggml_get_max_tensor_size(ctx_data);
|
||||
const size_t max_size_eval = ggml_get_max_tensor_size(ctx_eval);
|
||||
ggml_metal_add_buffer(ctx_metal, "data", ggml_get_mem_buffer(ctx_data), ggml_get_mem_size(ctx_data), max_size_data);
|
||||
ggml_metal_add_buffer(ctx_metal, "eval", ggml_get_mem_buffer(ctx_eval), ggml_get_mem_size(ctx_eval), max_size_eval);
|
||||
|
||||
// main
|
||||
{
|
||||
struct ggml_tensor * input = ggml_graph_get_tensor(gf, "embd");
|
||||
*(int32_t *) input->data = 1; // BOS
|
||||
|
||||
ggml_metal_set_tensor(ctx_metal, input);
|
||||
|
||||
// warmup
|
||||
ggml_metal_graph_compute(ctx_metal, gf);
|
||||
|
||||
const int n_iter = 16;
|
||||
|
||||
const int64_t t0 = ggml_time_us();
|
||||
|
||||
// the actual inference happens here
|
||||
for (int i = 0; i < n_iter; ++i) {
|
||||
ggml_metal_graph_compute(ctx_metal, gf);
|
||||
}
|
||||
|
||||
const int64_t t1 = ggml_time_us();
|
||||
|
||||
printf("time: %.2f ms, %.2f ms/tok\n", (t1 - t0) / 1000.0, (t1 - t0) / 1000.0 / n_iter);
|
||||
}
|
||||
|
||||
// debug output
|
||||
{
|
||||
struct ggml_tensor * logits = gf->nodes[gf->n_nodes - 1];
|
||||
ggml_metal_get_tensor(ctx_metal, logits);
|
||||
|
||||
float * ptr = (float *) ggml_get_data(logits);
|
||||
|
||||
printf("logits: ");
|
||||
for (int i = 0; i < 10; i++) {
|
||||
printf("%8.4f ", ptr[i]);
|
||||
}
|
||||
printf("\n");
|
||||
int imax = 0;
|
||||
double sum = 0.0;
|
||||
double vmax = -1e9;
|
||||
for (int i = 0; i < 32000; i++) {
|
||||
sum += (double) ptr[i];
|
||||
if (ptr[i] > vmax) {
|
||||
vmax = ptr[i];
|
||||
imax = i;
|
||||
}
|
||||
}
|
||||
printf("sum: %f, imax = %d, vmax = %f\n", sum, imax, vmax);
|
||||
}
|
||||
|
||||
ggml_metal_free(ctx_metal);
|
||||
|
||||
ggml_free(ctx_data);
|
||||
ggml_free(ctx_eval);
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
Loading…
Add table
Add a link
Reference in a new issue