Support CoreML for macOS (#151)

sherpa-onnx/python/sherpa_onnx/offline_recognizer.py

@@ -40,6 +40,7 @@ class OfflineRecognizer(object):
         feature_dim: int = 80,
         decoding_method: str = "greedy_search",
         debug: bool = False,
+        provider: str = "cpu",
     ):
         """
         Please refer to
@@ -70,6 +71,8 @@ class OfflineRecognizer(object):
             Support only greedy_search for now.
           debug:
             True to show debug messages.
+          provider:
+            onnxruntime execution providers. Valid values are: cpu, cuda, coreml.
         """
         self = cls.__new__(cls)
         model_config = OfflineModelConfig(
@@ -81,6 +84,7 @@ class OfflineRecognizer(object):
             tokens=tokens,
             num_threads=num_threads,
             debug=debug,
+            provider=provider,
         )
 
         feat_config = OfflineFeatureExtractorConfig(

sherpa-onnx/python/sherpa_onnx/online_recognizer.py

@@ -39,6 +39,7 @@ class OnlineRecognizer(object):
         rule3_min_utterance_length: float = 20.0,
         decoding_method: str = "greedy_search",
         max_active_paths: int = 4,
+        provider: str = "cpu",
     ):
         """
         Please refer to
@@ -86,6 +87,8 @@ class OnlineRecognizer(object):
           max_active_paths:
             Use only when decoding_method is modified_beam_search. It specifies
             the maximum number of active paths during beam search.
+          provider:
+            onnxruntime execution providers. Valid values are: cpu, cuda, coreml.
         """
         _assert_file_exists(tokens)
         _assert_file_exists(encoder)
@@ -100,6 +103,7 @@ class OnlineRecognizer(object):
             joiner_filename=joiner,
             tokens=tokens,
             num_threads=num_threads,
+            provider=provider,
         )
 
         feat_config = FeatureExtractorConfig(