Code refactoring (#74)

* Don't reset model state and feature extractor on endpointing

* support passing decoding_method from commandline

* Add modified_beam_search to Python API

* fix C API example

* Fix style issues

python-api-examples/decode-file.py

@@ -53,6 +53,20 @@ def get_args():
         help="Path to the joiner model",
     )
 
+    parser.add_argument(
+        "--num-threads",
+        type=int,
+        default=1,
+        help="Number of threads for neural network computation",
+    )
+
+    parser.add_argument(
+        "--decoding-method",
+        type=str,
+        default="greedy_search",
+        help="Valid values are greedy_search and modified_beam_search",
+    )
+
     parser.add_argument(
         "--wave-filename",
         type=str,
@@ -65,7 +79,6 @@ def get_args():
 
 def main():
     sample_rate = 16000
-    num_threads = 2
 
     args = get_args()
     assert_file_exists(args.encoder)
@@ -81,9 +94,10 @@ def main():
         encoder=args.encoder,
         decoder=args.decoder,
         joiner=args.joiner,
-        num_threads=num_threads,
+        num_threads=args.num_threads,
         sample_rate=sample_rate,
         feature_dim=80,
+        decoding_method=args.decoding_method,
     )
     with wave.open(args.wave_filename) as f:
         assert f.getframerate() == sample_rate, f.getframerate()
@@ -119,7 +133,8 @@ def main():
     end_time = time.time()
     elapsed_seconds = end_time - start_time
     rtf = elapsed_seconds / duration
-    print(f"num_threads: {num_threads}")
+    print(f"num_threads: {args.num_threads}")
+    print(f"decoding_method: {args.decoding_method}")
     print(f"Wave duration: {duration:.3f} s")
     print(f"Elapsed time: {elapsed_seconds:.3f} s")
     print(f"Real time factor (RTF): {elapsed_seconds:.3f}/{duration:.3f} = {rtf:.3f}")