Only run initial generate when compile=True

fam/llm/fast_inference_utils.py

@@ -367,27 +367,27 @@ def build_model(
                 dynamic=True,
             )
 
-    encoded = encode_tokens(tokenizer, "Hello, what's up?", device=device)
-    spk_emb = torch.randn((1, 256), device=device, dtype=precision)
-
-    device_sync(device=device)  # MKG
-    t0 = time.perf_counter()
-    y = generate(
-        model,
-        encoded,
-        spk_emb,
-        max_new_tokens=200,
-        callback=lambda x: x,
-        temperature=torch.tensor(1.0, device=device, dtype=precision),
-        top_k=None,
-        top_p=torch.tensor(0.95, device=device, dtype=precision),
-        guidance_scale=torch.tensor(3.0, device=device, dtype=precision),
-        end_of_audio_token=9999,  # don't end early for compilation stage.
-    )
+        encoded = encode_tokens(tokenizer, "Hello, what's up?", device=device)
+        spk_emb = torch.randn((1, 256), device=device, dtype=precision)
+
+        device_sync(device=device)  # MKG
+        t0 = time.perf_counter()
+        y = generate(
+            model,
+            encoded,
+            spk_emb,
+            max_new_tokens=200,
+            callback=lambda x: x,
+            temperature=torch.tensor(1.0, device=device, dtype=precision),
+            top_k=None,
+            top_p=torch.tensor(0.95, device=device, dtype=precision),
+            guidance_scale=torch.tensor(3.0, device=device, dtype=precision),
+            end_of_audio_token=9999,  # don't end early for compilation stage.
+        )
 
-    device_sync(device=device)  # MKG
+        device_sync(device=device)  # MKG
 
-    print(f"Compilation time: {time.perf_counter() - t0:.2f} seconds")
+        print(f"Compilation time: {time.perf_counter() - t0:.2f} seconds")
 
     return model, tokenizer, smodel, model_size