add option to not run hellaswag, interferes with a bunch of testing, …

…e.g. if T is low

train_gpt2.cu

@@ -2688,6 +2688,7 @@ void error_usage() {
     fprintf(stderr, "  -w <int>    keep f32 copy of weights for the optimizer? (default: 1)\n");
     fprintf(stderr, "  -z <int>    zero_stage, Zero Optimization Stage, 0,1,2,3 (default = 0)\n");
     fprintf(stderr, "  -r <int>    recompute: saves memory at cost of speed. (default = 1), 0 = none. 1 = recompute gelu\n");
+    fprintf(stderr, "  -h <int>    hellaswag eval run? (default = 0)\n");
     exit(EXIT_FAILURE);
 }
 
@@ -2719,6 +2720,7 @@ int main(int argc, char *argv[]) {
     int recompute = 1; // recompute during backward setting, 0 = none, 1 = recompute gelu
     int zero_stage = 0; // Zero Optimization Stage for Multi-GPU training
     float grad_clip  = 1.0f;
+    int hellaswag_eval = 0;
     for (int i = 1; i < argc; i+=2) {
         if (i + 1 >= argc) { error_usage(); } // must have arg after flag
         if (argv[i][0] != '-') { error_usage(); } // must start with dash
@@ -2746,6 +2748,7 @@ int main(int argc, char *argv[]) {
         else if (argv[i][1] == 'c') { grad_clip = atof(argv[i+1]); }
         else if (argv[i][1] == 'z') { zero_stage = atoi(argv[i+1]); }
         else if (argv[i][1] == 'r') { recompute = atoi(argv[i+1]); }
+        else if (argv[i][1] == 'h') { hellaswag_eval = atoi(argv[i+1]); }
         else { error_usage(); }
     }
     // should do a bit more error checking here
@@ -2832,10 +2835,11 @@ int main(int argc, char *argv[]) {
     EvalLoader eval_loader;
     const char* hellaswag_path = "dev/data/hellaswag/hellaswag_val.bin";
     const char hellaswag_available = access(hellaswag_path, F_OK) == 0;
-    if (hellaswag_available) {
+    const char run_hellaswag = hellaswag_eval && hellaswag_available;
+    if (run_hellaswag) {
         evalloader_init(&eval_loader, hellaswag_path, B, T, multi_gpu_config.process_rank, multi_gpu_config.num_processes);
     }
-    printf0("| hellaswag available   | %-50s |\n", hellaswag_available ? "yes" : "no");
+    printf0("| run hellaswag         | %-50s |\n", run_hellaswag ? "yes" : "no");
     printf0("+-----------------------+----------------------------------------------------+\n");
 
     // pretty print in a table the multi-gpu configuration as well
@@ -2847,7 +2851,7 @@ int main(int argc, char *argv[]) {
     // prints outside of pretty table to here and below
     if (!hellaswag_available) {
         printf0("HellaSwag eval not found at %s, skipping its evaluation\n", hellaswag_path);
-        printf0("You can run `python dev/data/hellaswag.py` to export and use it.\n");
+        printf0("You can run `python dev/data/hellaswag.py` to export and use it with `-h 1`.\n");
     }
     // more prints related to allocations from gpt2_build_from_checkpoint down here to not mess up our table above
     printf0("num_parameters: %zu => bytes: %zu\n", model.num_parameters, model.num_parameters_bytes);
@@ -2904,7 +2908,7 @@ int main(int argc, char *argv[]) {
         }
 
         // once in a while estimate HellaSwag accuracy
-        if (hellaswag_available &&
+        if (run_hellaswag &&
            ((step > 0 && step % val_loss_every == 0) || last_step)) {
             NvtxRange evaluation_range("evaluation");
             float eval_acc_norm = 0.0f;
@@ -3045,7 +3049,7 @@ int main(int argc, char *argv[]) {
     // free and destroy everything
     cudaCheck(cudaEventDestroy(end));
     cudaCheck(cudaEventDestroy(start));
-    if (hellaswag_available) { evalloader_free(&eval_loader); }
+    if (run_hellaswag) { evalloader_free(&eval_loader); }
     dataloader_free(&train_loader);
     dataloader_free(&val_loader);
     tokenizer_free(&tokenizer);