[test] add test for --config_overrides

examples/pytorch/language-modeling/run_clm.py

@@ -324,6 +324,7 @@ def main():
         if model_args.config_overrides is not None:
             logger.info(f"Overriding config: {model_args.config_overrides}")
             config.update_from_string(model_args.config_overrides)
+            logger.info(f"New config: {config}")
 
     tokenizer_kwargs = {
         "cache_dir": model_args.cache_dir,

examples/pytorch/language-modeling/run_mlm.py

@@ -326,6 +326,7 @@ def main():
         if model_args.config_overrides is not None:
             logger.info(f"Overriding config: {model_args.config_overrides}")
             config.update_from_string(model_args.config_overrides)
+            logger.info(f"New config: {config}")
 
     tokenizer_kwargs = {
         "cache_dir": model_args.cache_dir,

examples/pytorch/language-modeling/run_plm.py

@@ -318,6 +318,7 @@ def main():
         if model_args.config_overrides is not None:
             logger.info(f"Overriding config: {model_args.config_overrides}")
             config.update_from_string(model_args.config_overrides)
+            logger.info(f"New config: {config}")
 
     tokenizer_kwargs = {
         "cache_dir": model_args.cache_dir,

examples/pytorch/test_examples.py

@@ -25,7 +25,7 @@
 
 from transformers import Wav2Vec2ForPreTraining
 from transformers.file_utils import is_apex_available
-from transformers.testing_utils import TestCasePlus, get_gpu_count, slow, torch_device
+from transformers.testing_utils import CaptureLogger, TestCasePlus, get_gpu_count, slow, torch_device
 
 
 SRC_DIRS = [
@@ -157,6 +157,31 @@ def test_run_clm(self):
             result = get_results(tmp_dir)
             self.assertLess(result["perplexity"], 100)
 
+    def test_run_clm_config_overrides(self):
+        # test that config_overrides works, despite the misleading dumps of default un-updated
+        # config via tokenizer
+
+        tmp_dir = self.get_auto_remove_tmp_dir()
+        testargs = f"""
+            run_clm.py
+            --model_type gpt2
+            --tokenizer_name gpt2
+            --train_file ./tests/fixtures/sample_text.txt
+            --output_dir {tmp_dir}
+            --config_overrides n_embd=10,n_head=2
+            """.split()
+
+        if torch_device != "cuda":
+            testargs.append("--no_cuda")
+
+        logger = run_clm.logger
+        with patch.object(sys, "argv", testargs):
+            with CaptureLogger(logger) as cl:
+                run_clm.main()
+
+        self.assertIn('"n_embd": 10', cl.out)
+        self.assertIn('"n_head": 2', cl.out)
+
     def test_run_mlm(self):
         stream_handler = logging.StreamHandler(sys.stdout)
         logger.addHandler(stream_handler)