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26 lines
1.2 KiB
Markdown
26 lines
1.2 KiB
Markdown
# C API
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**NOTE: The C API is PRE-RELEASE and subject to change. Please do not rely on this file not changing.**
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## Features
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* Creating an InferenceSession from an on-disk model file and a set of SessionOptions.
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* Registering customized loggers.
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* Registering customized allocators.
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* Registering predefined providers and set the priority order. ONNXRuntime has a set of predefined execution providers,like CUDA, MKLDNN. User can register providers to their InferenceSession. The order of registration indicates the preference order as well.
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* Running a model with inputs. These inputs must be in CPU memory, not GPU. If the model has multiple outputs, user can specify which outputs they want.
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* Converting an in-memory ONNX Tensor encoded in protobuf format, to a pointer that can be used as model input.
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* Setting the thread pool size for each session.
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* Dynamically loading custom ops.
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## How to use it
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1. Include [onnxruntime_c_api.h](/include/onnxruntime/core/session/onnxruntime_c_api.h).
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2. Call ONNXRuntimeInitialize
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3. Create Session: ONNXRuntimeCreateInferenceSession(env, model_uri, nullptr,...)
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4. Create Tensor
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1) ONNXRuntimeCreateAllocatorInfo
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2) ONNXRuntimeCreateTensorWithDataAsONNXValue
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5. ONNXRuntimeRunInference
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