1.07 com.tensorflowlite.jz.tensorFlowLite tensorFlowLite process TfLiteTensorType -------------------------------------------------------------------------- TfLiteTensor wraps data associated with a graph tensor. Note that, while the TfLiteTensor struct is not currently opaque, and its fields can be accessed directly, these methods are still convenient for language bindings. In the future the tensor struct will likely be made opaque in the public API. Returns the type of a tensor element. int tensor long TfLiteSignatureRunnerGetOutputName Returns the (null-terminated) name of the Nth output in a signature, where N is specified as `output_index`. NOTE: The lifetime of the returned name is the same as (and depends on) the lifetime of `signature_runner`. java.lang.String signatureRunner long outputIndex int TfLiteVersion The TensorFlow Lite Runtime version. Returns a pointer to a statically allocated string that is the version number of the (potentially dynamically loaded) TF Lite Runtime library. TensorFlow Lite uses semantic versioning, and the return value should be in semver 2 format <http://semver.org>, starting with MAJOR.MINOR.PATCH, e.g. "2.12.0" or "2.13.0-rc2". java.lang.String TfLiteSignatureRunnerDelete Destroys the signature runner. void signatureRunner long TfLiteTensorData Returns a pointer to the underlying data buffer. \note The result may be null if tensors have not yet been allocated, e.g., if the Tensor has just been created or resized and `TfLiteAllocateTensors()` has yet to be called, or if the output tensor is dynamically sized and the interpreter hasn't been invoked. long tensor long TfLiteModelCreate Returns a model from the provided buffer, or null on failure. \note The caller retains ownership of the `model_data` buffer and should ensure that the lifetime of the `model_data` buffer must be at least as long as the lifetime of the `TfLiteModel` and of any `TfLiteInterpreter` objects created from that `TfLiteModel`, and furthermore the contents of the `model_data` buffer must not be modified during that time." long modelData long modeSize long TfLiteInterpreterOptionsSetNumThreads Sets the number of CPU threads to use for the interpreter. void options long numthreads int TfLiteInterpreterGetOutputTensor Returns the tensor associated with the output index. REQUIRES: output_index between 0 and TfLiteInterpreterGetOutputTensorCount(tensor) \note The shape and underlying data buffer for output tensors may be not be available until after the output tensor has been both sized and allocated. In general, best practice is to interact with the output tensor *after* calling TfLiteInterpreterInvoke(). long interpreter long outputindex int TfLiteInterpreterOptionsAddRegistrationExternal Adds an op registration to be applied during `TfLiteInterpreter` creation. The `TfLiteRegistrationExternal` object is needed to implement custom op of TFLite Interpreter via C API. Calling this function ensures that any `TfLiteInterpreter` created with the specified `options` can execute models that use the custom operator specified in `registration`. Please refer https://www.tensorflow.org/lite/guide/ops_custom for custom op support. \note The caller retains ownership of the TfLiteRegistrationExternal object and should ensure that it remains valid for the duration of any created interpreter's lifetime. \warning This is an experimental API and subject to change. void options long registration long TfLiteInterpreterGetSignatureRunner Returns a new signature runner using the provided interpreter and signature key, or nullptr on failure. NOTE: `signature_key` is a null-terminated C string that must match the key of a signature in the interpreter's model. NOTE: The returned signature runner should be destroyed, by calling TfLiteSignatureRunnerDelete(), before the interpreter is destroyed. long interpreter long strSignaturekKey java.lang.String TfLiteTensorNumDims Returns the number of dimensions that the tensor has. Returns -1 in case the 'opaque_tensor' does not have its dimensions property set. int tensor long TfLiteInterpreterOptionsDelete Destroys the interpreter options instance. void options long TfLiteInterpreterOptionsSetUseNNAPI void options long usennapi boolean TfLiteInterpreterInputTensorIndices Returns a pointer to an array of input tensor indices. The length of the array can be obtained via a call to `TfLiteInterpreterGetInputTensorCount`. Typically the input tensors associated with an `interpreter` would be set during the initialization of the `interpreter`, through a mechanism like the `InterpreterBuilder`, and remain unchanged throughout the lifetime of the interpreter. However, there are some circumstances in which the pointer may not remain valid throughout the lifetime of the interpreter, because calls to `SetInputs` on the interpreter invalidate the returned pointer. The ownership of the array remains with the TFLite runtime. int[] interpreter long TfLiteExtensionApisVersion The TensorFlow Lite Extension APIs version. Returns a pointer to a statically allocated string that is the version number of the TF Lite Extension APIs supported by the (potentially dynamically loaded) TF Lite Runtime library. The TF Lite "Extension APIs" are the APIs for extending TF Lite with custom ops and delegates. More specifically, this version number covers the (non-experimental) functionality documented in the following header files: lite/c/c_api_opaque.h lite/c/common.h lite/c/builtin_op_data.h lite/builtin_ops.h This version number uses semantic versioning, and the return value should be in semver 2 format http://semver.org, starting with MAJOR.MINOR.PATCH, e.g. "2.14.0" or "2.15.0-rc2". java.lang.String TfLiteSchemaVersion The supported TensorFlow Lite model file Schema version. Returns the (major) version number of the Schema used for model files that is supported by the (potentially dynamically loaded) TensorFlow Lite Runtime. Model files using schema versions different to this may not be supported by the current version of the TF Lite Runtime. int TfLiteTensorQuantizationParams Returns the parameters for asymmetric quantization. The quantization parameters are only valid when the tensor type is `kTfLiteUInt8` and the `scale != 0`. Quantized values can be converted back to float using: real_value = scale * (quantized_value - zero_point); java.lang.String tensor long TfLiteInterpreterGetOutputTensorCount Returns the number of output tensors associated with the model. int interpreter long TfLiteTensorByteSize Returns the size of the underlying data in bytes. int tensor long TfLiteInterpreterCreate Returns a new interpreter using the provided model and options, or null on failure. `model` must be a valid model instance. The caller retains ownership of the object, and may destroy it (via TfLiteModelDelete) immediately after creating the interpreter. However, if the TfLiteModel was allocated with TfLiteModelCreate, then the `model_data` buffer that was passed to TfLiteModelCreate must outlive the lifetime of the TfLiteInterpreter object that this function returns, and must not be modified during that time; and if the TfLiteModel was allocated with TfLiteModelCreateFromFile, then the contents of the model file must not be modified during the lifetime of the TfLiteInterpreter object that this function returns. `optional_options` may be null. The caller retains ownership of the object, and can safely destroy it (via TfLiteInterpreterOptionsDelete) immediately after creating the interpreter. \note The client *must* explicitly allocate tensors before attempting to access input tensor data or invoke the interpreter. long model long options long TfLiteInterpreterGetTensor Returns modifiable access to the tensor that corresponds to the specified `index` and is associated with the provided `interpreter`. This requires the `index` to be between 0 and N - 1, where N is the number of tensors in the model. Typically the tensors associated with the `interpreter` would be set during the `interpreter` initialization, through a mechanism like the `InterpreterBuilder`, and remain unchanged throughout the lifetime of the interpreter. However, there are some circumstances in which the pointer may not remain valid throughout the lifetime of the interpreter, because calls to `AddTensors` on the interpreter invalidate the returned pointer. Note the difference between this function and `TfLiteInterpreterGetInputTensor` (or `TfLiteInterpreterGetOutputTensor` for that matter): `TfLiteInterpreterGetTensor` takes an index into the array of all tensors associated with the `interpreter`'s model, whereas `TfLiteInterpreterGetInputTensor` takes an index into the array of input tensors. The ownership of the tensor remains with the TFLite runtime, meaning the caller should not deallocate the pointer. long interpreter long index int FreeNativeBuffer void ptr long TfLiteTensorCopyToBuffer Copies to the provided output buffer from the tensor's buffer. REQUIRES: output_data_size == TfLiteTensorByteSize(tensor) int inputTensor long bufferPtr long dataSize long TfLiteInterpreterInvoke Runs inference for the loaded graph. Before calling this function, the caller should first invoke TfLiteInterpreterAllocateTensors() and should also set the values for the input tensors. After successfully calling this function, the values for the output tensors will be set. \note It is possible that the interpreter is not in a ready state to evaluate (e.g., if AllocateTensors() hasn't been called, or if a ResizeInputTensor() has been performed without a subsequent call to AllocateTensors()). If the (experimental!) delegate fallback option was enabled in the interpreter options, then the interpreter will automatically fall back to not using any delegates if execution with delegates fails. For details, see TfLiteInterpreterOptionsSetEnableDelegateFallback in c_api_experimental.h. Returns one of the following status codes: - kTfLiteOk: Success. Output is valid. - kTfLiteDelegateError: Execution with delegates failed, due to a problem with the delegate(s). If fallback was not enabled, output is invalid. If fallback was enabled, this return value indicates that fallback succeeded, the output is valid, and all delegates previously applied to the interpreter have been undone. - kTfLiteApplicationError: Same as for kTfLiteDelegateError, except that the problem was not with the delegate itself, but rather was due to an incompatibility between the delegate(s) and the interpreter or model. - kTfLiteError: Unexpected/runtime failure. Output is invalid. int interpreter long TfLiteSignatureRunnerGetOutputTensor Returns the output tensor identified by `output_name` in the given signature. Returns nullptr if the given name is not valid. NOTE: The lifetime of the returned tensor is the same as (and depends on) the lifetime of `signature_runner`. long signatureRunner long strOutputName java.lang.String TfLiteTensorCopyFromBuffer Copies from the provided input buffer into the tensor's buffer. REQUIRES: input_data_size == TfLiteTensorByteSize(tensor) int tensor long inputdata float[] inputdatasize long TfLiteSignatureRunnerGetInputName Returns the (null-terminated) name of the Nth input in a signature, where N is specified as `input_index`. NOTE: The lifetime of the returned name is the same as (and depends on) the lifetime of `signature_runner`. java.lang.String signatureRunner long inputIndex int TfLiteTensorName Returns the (null-terminated) name of the tensor. java.lang.String tensor long TfLiteSignatureRunnerGetInputCount Returns the number of inputs associated with a signature. long signatureRunner long TfLiteInterpreterGetInputTensorCount returns the number of input tensors associated with the model. int interpreter long TfLiteInterpreterGetInputTensor Returns the tensor associated with the input index. REQUIRES: 0 <= input_index < TfLiteInterpreterGetInputTensorCount(tensor) long interpreter long inputindex int TfLiteSignatureRunnerResizeInputTensor Resizes the input tensor identified as `input_name` to be the dimensions specified by `input_dims` and `input_dims_size`. Only unknown dimensions can be resized with this function. Unknown dimensions are indicated as `-1` in the `dims_signature` attribute of a TfLiteTensor. Returns status of failure or success. Note that this doesn't actually resize any existing buffers. A call to TfLiteSignatureRunnerAllocateTensors() is required to change the tensor input buffer. NOTE: This function is similar to TfLiteInterpreterResizeInputTensorStrict() and not TfLiteInterpreterResizeInputTensor(). NOTE: `input_name` must match the name of an input in the signature. NOTE: This function makes a copy of the input dimensions, so the caller can safely deallocate `input_dims` immediately after this function returns. int signatureRunner long strInputName java.lang.String inputDims int[] inputDimsSize int TfLiteModelDelete Destroys the model instance. void model long TfLiteSignatureRunnerInvoke Runs inference on a given signature. Before calling this function, the caller should first invoke TfLiteSignatureRunnerAllocateTensors() and should also set the values for the input tensors. After successfully calling this function, the values for the output tensors will be set. int signatureRunner long TfLiteInterpreterOptionsCopy Creates and returns a shallow copy of an options object. The caller is responsible for calling `TfLiteInterpreterOptionsDelete` to deallocate the object pointed to by the returned pointer. long from long TfLiteModelCreateFromFile Returns a model from the provided file, or null on failure. \note The file's contents must not be modified during the lifetime of the `TfLiteModel` or of any `TfLiteInterpreter` objects created from that `TfLiteModel`. long strModelpath java.lang.String TfLiteInterpreterCancel Tries to cancel any in-flight invocation. \note This only cancels `TfLiteInterpreterInvoke` calls that happen before calling this and it does not cancel subsequent invocations. \note Calling this function will also cancel any in-flight invocations of SignatureRunners constructed from this interpreter. Non-blocking and thread safe. Returns kTfLiteError if cancellation is not enabled via `TfLiteInterpreterOptionsEnableCancellation`. int interpreter long TfLiteTensorGetIntBuffer int[] ptr long dataSize long TfLiteSetAllowBufferHandleOutput void options long allowbufferhandloutput boolean TfLiteInterpreterOptionsAddDelegate Adds a delegate to be applied during `TfLiteInterpreter` creation. If delegate application fails, interpreter creation will also fail with an associated error logged. \note The caller retains ownership of the delegate and should ensure that it remains valid for the duration of any created interpreter's lifetime. If you are NOT using "TensorFlow Lite in Play Services", and NOT building with `TFLITE_WITH_STABLE_ABI` or `TFLITE_USE_OPAQUE_DELEGATE` macros enabled, it is possible to pass a `TfLiteDelegate*` rather than a `TfLiteOpaqueDelegate*` to this function, since in those cases, `TfLiteOpaqueDelegate` is just a typedef alias for `TfLiteDelegate`. This is for compatibility with existing source code and existing delegates. For new delegates, it is recommended to use `TfLiteOpaqueDelegate` rather than `TfLiteDelegate`. (See `TfLiteOpaqueDelegate` in tensorflow/lite/core/c/c_api_types.h.) void options long delegate long TfLiteInterpreterGetSignatureKey Returns the key of the Nth signature in the model, where N is specified as `signature_index`. NOTE: The lifetime of the returned key is the same as (and depends on) the lifetime of `interpreter`. java.lang.String interpreter long signatureIndex int TfLiteInterpreterResizeInputTensor Resizes the specified input tensor. \note After a resize, the client *must* explicitly allocate tensors before attempting to access the resized tensor data or invoke the interpreter. REQUIRES: input_index betwee 0 and TfLiteInterpreterGetInputTensorCount(tensor) This function makes a copy of the input dimensions, so the client can safely deallocate `input_dims` immediately after this function returns. int interpreter long inputindex int inputdims int[] inputdimssize int TfLiteInterpreterAllocateTensors Updates allocations for all tensors, resizing dependent tensors using the specified input tensor dimensionality. This is a relatively expensive operation, and need only be called after creating the graph and/or resizing any inputs. int interpreter long TfLiteTensorGetFloatBuffer float[] ptr long dataSize long TfLiteInterpreterGetSignatureCount -------------------------------------------------------------------------- SignatureRunner APIs You can run inference by either: (i) (recommended) using the Interpreter to initialize SignatureRunner(s) and then only using SignatureRunner APIs. (ii) only using Interpreter APIs. NOTE: * Only use one of the above options to run inference, i.e. avoid mixing both SignatureRunner APIs and Interpreter APIs to run inference as they share the same underlying data (e.g. updating an input tensor "A" retrieved using the Interpreter APIs will update the state of the input tensor "B" retrieved using SignatureRunner APIs, if they point to the same underlying tensor in the model; as it is not possible for a user to debug this by analyzing the code, it can lead to undesirable behavior). * The TfLiteSignatureRunner type is conditionally thread-safe, provided that no two threads attempt to simultaneously access two TfLiteSignatureRunner instances that point to the same underlying signature, or access a TfLiteSignatureRunner and its underlying TfLiteInterpreter, unless all such simultaneous accesses are reads (rather than writes). * The lifetime of a TfLiteSignatureRunner object ends when TfLiteSignatureRunnerDelete() is called on it (or when the lifetime of the underlying TfLiteInterpreter ends -- but you should call TfLiteSignatureRunnerDelete() before that happens in order to avoid resource leaks). * You can only apply delegates to the interpreter (via TfLiteInterpreterOptions) and not to a signature. Returns the number of signatures defined in the model. int interpreter long TfLiteSignatureRunnerGetInputTensor Returns the input tensor identified by `input_name` in the given signature. Returns nullptr if the given name is not valid. NOTE: The lifetime of the returned tensor is the same as (and depends on) the lifetime of `signature_runner`. long signatureRunner long strInputName java.lang.String TfLiteInterpreterOutputTensorIndices Returns a pointer to an array of output tensor indices. The length of the array can be obtained via a call to `TfLiteInterpreterGetOutputTensorCount`. Typically the output tensors associated with an `interpreter` would be set during the initialization of the `interpreter`, through a mechanism like the `InterpreterBuilder`, and remain unchanged throughout the lifetime of the interpreter. However, there are some circumstances in which the pointer may not remain valid throughout the lifetime of the interpreter, because calls to `SetOutputs` on the interpreter invalidate the returned pointer. The ownership of the array remains with the TFLite runtime. int[] interpreter long TfLiteTensorDim Returns the length of the tensor in the "dim_index" dimension. REQUIRES: dim_index between 0 and TFLiteTensorNumDims(tensor) int tensor long dimindex int TfLiteInterpreterOptionsEnableCancellation Enables users to cancel in-flight invocations with `TfLiteInterpreterCancel`. By default it is disabled and calling to `TfLiteInterpreterCancel` will return kTfLiteError. See `TfLiteInterpreterCancel`. int options long enable boolean TfLiteInterpreterOptionsCreate Returns a new interpreter options instances. long TfLiteInterpreterDelete Destroys the interpreter. void interpreter long TfLiteSignatureRunnerAllocateTensors Updates allocations for tensors associated with a signature and resizes dependent tensors using the specified input tensor dimensionality. This is a relatively expensive operation and hence should only be called after initializing the signature runner object and/or resizing any inputs. int signatureRunner long TfLiteSignatureRunnerGetOutputCount Returns the number of output tensors associated with the signature. int signatureRunner long AllocNativeBuffer long size long DEBUG_MODE boolean MAX_BUFFER_SIZE tensorFlowLite 2.16 - Deliang Zhang Compiled: 01/13/2026 @ 20:22:55 Package Name: com.tensorflowlite.jz int AboutLib java.lang.String VERSION java.lang.String com.tensorflowlite.jz.tensorFlowLite.ChildClass process doSomething void path java.lang.String 2.16 Deliang Zhang