TensorFlow Lite C API Reference

Modules
lite/acceleration/configuration/c/delegate_plugin.h C API types for TF Lite delegate plugins.
lite/acceleration/configuration/c/gpu_plugin.h This header file is for the delegate plugin for GPU.
lite/acceleration/configuration/c/xnnpack_plugin.h This header file is for the delegate plugin for XNNPACK.
lite/c/c_api.h C API for TensorFlow Lite.
lite/c/c_api_opaque.h C API for TensorFlow Lite Opaque Types.
lite/c/c_api_types.h This file declares types used by the pure C inference API defined in c_api.h, some of which are also used in the C++ and C kernel and interpreter APIs.
lite/c/common.h This file defines common C types and APIs for implementing operations, delegates and other constructs in TensorFlow Lite.

Structs
TfLiteAffineQuantization Parameters for asymmetric quantization across a dimension (i.e per output channel quantization).
TfLiteComplex128 Double-precision complex data type compatible with the C99 definition.
TfLiteComplex64 Single-precision complex data type compatible with the C99 definition.
TfLiteContext TfLiteContext allows an op to access the tensors.
TfLiteCustomAllocation Defines a custom memory allocation not owned by the runtime.
TfLiteDelegate WARNING: This is an experimental interface that is subject to change.
TfLiteDelegateParams WARNING: This is an experimental interface that is subject to change.
TfLiteDelegatePlugin Struct to hold all the methods for a delegate plugin.
TfLiteDimensionMetadata Metadata to encode each dimension in a sparse tensor.
TfLiteEvalTensor Light-weight tensor struct for TF Micro runtime.
TfLiteExternalContext An external context is a collection of information unrelated to the TF Lite framework, but useful to a subset of the ops.
TfLiteFloat16 Half precision data type compatible with the C99 definition.
TfLiteFloatArray Fixed size list of floats. Used for per-channel quantization.
TfLiteIntArray Fixed size list of integers.
TfLiteNode A structure representing an instance of a node.
TfLiteOpaqueDelegateBuilder TfLiteOpaqueDelegateBuilder is used for constructing TfLiteOpaqueDelegate, see TfLiteOpaqueDelegateCreate below.
TfLiteOpaqueDelegateParams WARNING: This is an experimental interface that is subject to change.
TfLiteQuantization Structure specifying the quantization used by the tensor, if-any.
TfLiteQuantizationParams Legacy.
TfLiteRegistration TfLiteRegistration defines the implementation of an operation (a built-in op, custom op, or custom delegate kernel).
TfLiteSparsity Parameters used to encode a sparse tensor.
TfLiteTensor A tensor in the interpreter system which is a wrapper around a buffer of data including a dimensionality (or NULL if not currently defined).

Unions
TfLitePtrUnion A union of pointers that points to memory for a given tensor.