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