| | |
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| | | |
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| | | class OrtInferSession(): |
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| | | def __init__(self, model_file, device_id=-1): |
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| | | device_id = str(device_id) |
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| | | sess_opt = SessionOptions() |
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| | | sess_opt.intra_op_num_threads = 4 |
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| | | sess_opt.log_severity_level = 4 |
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| | | sess_opt.enable_cpu_mem_arena = False |
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| | | sess_opt.graph_optimization_level = GraphOptimizationLevel.ORT_ENABLE_ALL |
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| | |
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| | | } |
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| | | |
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| | | EP_list = [] |
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| | | if device_id != -1 and get_device() == 'GPU' \ |
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| | | if device_id != "-1" and get_device() == 'GPU' \ |
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| | | and cuda_ep in get_available_providers(): |
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| | | EP_list = [(cuda_ep, cuda_provider_options)] |
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| | | EP_list.append((cpu_ep, cpu_provider_options)) |
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| | |
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| | | sess_options=sess_opt, |
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| | | providers=EP_list) |
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| | | |
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| | | if device_id != -1 and cuda_ep not in self.session.get_providers(): |
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| | | if device_id != "-1" and cuda_ep not in self.session.get_providers(): |
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| | | warnings.warn(f'{cuda_ep} is not avaiable for current env, the inference part is automatically shifted to be executed under {cpu_ep}.\n' |
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| | | 'Please ensure the installed onnxruntime-gpu version matches your cuda and cudnn version, ' |
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| | | 'you can check their relations from the offical web site: ' |
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