Use cpu provider for embeddings models

frigate/embeddings/functions/clip.py

@@ -49,31 +49,11 @@ def _load_models(
 
  @staticmethod
  def _load_model(path: str, silent: bool):
- providers = []
- options = []
-
- for provider in ort.get_available_providers():
- if provider == "TensorrtExecutionProvider":
- continue
- elif provider == "OpenVINOExecutionProvider":
- # TODO need to verify openvino works correctly
- os.makedirs("/config/model_cache/openvino/ort", exist_ok=True)
- providers.append(provider)
- options.append(
- {
- "cache_dir": "/config/model_cache/openvino/ort",
- "device_type": "GPU",
- }
- )
- else:
- providers.append(provider)
- options.append({})
+ providers = ["CPUExecutionProvider"]
 
  try:
  if os.path.exists(path):
- return ort.InferenceSession(
- path, providers=providers, provider_options=options
- )
+ return ort.InferenceSession(path, providers=providers)
  else:
  raise FileNotFoundError(
  errno.ENOENT,
@@ -104,9 +84,7 @@ def _load_model(path: str, silent: bool):
  f.flush()
  # Finally move the temporary file to the correct location
  temporary_filename.rename(path)
- return ort.InferenceSession(
- path, providers=provider, provider_options=options
- )
+ return ort.InferenceSession(path, providers=providers)
 
 
 class ClipEmbedding(EmbeddingFunction):