ValueError: This ORT build has [‘TensorrtExecutionProvider‘, ‘CUDAExecutionProvider‘, ‘CPUExecutionP
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在使用onnxruntime GPU版本做推理测试时，出现了如下的错误：
Traceback (most recent call last):
File "D:\\cv\\ConNext_demo\\testonnx.py", line 57, in <module>
rnet1 = ONNXModel(onnx_model_path)
File "D:\\cv\\ConNext_demo\\models\\onnx.py", line 7, in __init__
self.onnx_session = onnxruntime.InferenceSession(onnx_path)
File "D:\\ProgramData\\Anaconda3\\lib\\site-packages\\onnxruntime\\capi\\onnxruntime_inference_collection.py", line 335, in __init__
self._create_inference_session(providers, provider_options, disabled_optimizers)
File "D:\\ProgramData\\Anaconda3\\lib\\site-packages\\onnxruntime\\capi\\onnxruntime_inference_collection.py", line 361, in _create_inference_session
raise ValueError("This ORT build has enabled. ".format(available_providers) +
ValueError: This ORT build has ['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider'] enabled. Since ORT 1.9, you are required to explicitly set the providers parameter when instantiating InferenceSession. For example, onnxruntime.InferenceSession(..., providers=['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider'], ...)
解决办法：
将
onnxruntime.InferenceSession(onnx_path)
改为：
onnxruntime.InferenceSession(onnx_path,providers=['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider'])
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