validate image=2 float16=1 openpilot benchmark (#6346)

* validate image=2 float=16 openpilot

* linter

* linter2

test/external/external_benchmark_openpilot.py

@@ -37,15 +37,20 @@ if __name__ == "__main__":
     ret = next(iter(run_onnx_jit(new_inputs).values())).cast(dtypes.float32).numpy()
     print(f"jitted:  {(time.perf_counter_ns() - st)*1e-6:7.4f} ms")
 
-  # validate (only if IMAGE=2 and FLOAT16=0)
-  if IMAGE.value == 2 and getenv("FLOAT16") == 0:
-    tinygrad_out = next(iter(run_onnx_jit(new_inputs).values())).cast(dtypes.float32).numpy()
-    if getenv("SAVE_OUTPUT"):
-      np.save(Path(__file__).parent / "openpilot" / f"{hashlib.md5(OPENPILOT_MODEL.encode()).hexdigest()}.npy", tinygrad_out)
-    else:
-      known_good_out = np.load(Path(__file__).parent / "openpilot" / f"{hashlib.md5(OPENPILOT_MODEL.encode()).hexdigest()}.npy")
+  suffix = ""
+  if IMAGE.value < 2: suffix += f"_image{IMAGE.value}" # image=2 has no suffix for compatibility
+  if getenv("FLOAT16") == 1: suffix += "_float16"
+  path = Path(__file__).parent / "openpilot" / f"{hashlib.md5(OPENPILOT_MODEL.encode()).hexdigest()}{suffix}.npy"
 
-      np.testing.assert_allclose(known_good_out, tinygrad_out, atol=1e-2, rtol=1e-2)
-      print(colored("outputs validated!", "green"))
+  # validate if we have records
+  tinygrad_out = next(iter(run_onnx_jit(new_inputs).values())).cast(dtypes.float32).numpy()
+  if getenv("SAVE_OUTPUT"):
+    np.save(path, tinygrad_out)
+    print(f"saved output to {path}!")
+  elif path.exists():
+    known_good_out = np.load(path)
+
+    np.testing.assert_allclose(known_good_out, tinygrad_out, atol=1e-2, rtol=1e-2)
+    print(colored("outputs validated!", "green"))
   else:
     print(colored("skipping validation", "yellow"))