tensorflow/lite/g3doc/api_docs/c/index.html
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| | --- | | lite/abi/tflite.h | Native functions for initializing and shutting down the TensorFlow Lite (TFLite) in Google Play Services Native API. | | 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. |
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| 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). |
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| | --- | | TfLitePtrUnion | A union of pointers that points to memory for a given tensor. |