Uses of Class
org.bytedeco.tensorflowlite.TfLiteInterpreter

Packages that use TfLiteInterpreter

Package	Description
org.bytedeco.tensorflowlite.global

Uses of TfLiteInterpreter in org.bytedeco.tensorflowlite.global

Methods in org.bytedeco.tensorflowlite.global that return TfLiteInterpreter

Modifier and Type	Method and Description
static TfLiteInterpreter	tensorflowlite.TfLiteInterpreterCreate(TfLiteModel model, TfLiteInterpreterOptions optional_options) Returns a new interpreter using the provided model and options, or null on failure.
static TfLiteInterpreter	tensorflowlite.TfLiteInterpreterCreateWithSelectedOps(TfLiteModel model, TfLiteInterpreterOptions options) Returns a new interpreter using the provided model and options, or null on failure, where the model uses only the operators explicitly added to the options.

Methods in org.bytedeco.tensorflowlite.global with parameters of type TfLiteInterpreter

Modifier and Type	Method and Description
static int	tensorflowlite.TfLiteInterpreterAllocateTensors(TfLiteInterpreter interpreter) Updates allocations for all tensors, resizing dependent tensors using the specified input tensor dimensionality.
static int	tensorflowlite.TfLiteInterpreterCancel(TfLiteInterpreter interpreter) Tries to cancel any in-flight invocation.
static void	tensorflowlite.TfLiteInterpreterDelete(TfLiteInterpreter interpreter) Destroys the interpreter.
static int	tensorflowlite.TfLiteInterpreterEnsureTensorDataIsReadable(TfLiteInterpreter interpreter, int tensor_index) Ensures the data of the tensor at the given index is readable.
static int	tensorflowlite.TfLiteInterpreterGetBufferHandle(TfLiteInterpreter interpreter, int tensor_index, int[] buffer_handle, TfLiteOpaqueDelegateStruct delegate)
static int	tensorflowlite.TfLiteInterpreterGetBufferHandle(TfLiteInterpreter interpreter, int tensor_index, IntBuffer buffer_handle, TfLiteOpaqueDelegateStruct delegate)
static int	tensorflowlite.TfLiteInterpreterGetBufferHandle(TfLiteInterpreter interpreter, int tensor_index, IntPointer buffer_handle, PointerPointer delegate) Gets the delegate buffer handle, and the delegate which can process the buffer handle.
static int	tensorflowlite.TfLiteInterpreterGetBufferHandle(TfLiteInterpreter interpreter, int tensor_index, IntPointer buffer_handle, TfLiteOpaqueDelegateStruct delegate)
static TfLiteTensor	tensorflowlite.TfLiteInterpreterGetInputTensor(TfLiteInterpreter interpreter, int input_index) Returns the tensor associated with the input index.
static int	tensorflowlite.TfLiteInterpreterGetInputTensorCount(TfLiteInterpreter interpreter) Returns the number of input tensors associated with the model.
static int	tensorflowlite.TfLiteInterpreterGetInputTensorIndex(TfLiteInterpreter interpreter, int input_index) Returns the tensor index corresponding to the input tensor WARNING: This is an experimental API and subject to change.
static TfLiteTensor	tensorflowlite.TfLiteInterpreterGetOutputTensor(TfLiteInterpreter interpreter, int output_index) Returns the tensor associated with the output index.
static int	tensorflowlite.TfLiteInterpreterGetOutputTensorCount(TfLiteInterpreter interpreter) Returns the number of output tensors associated with the model.
static int	tensorflowlite.TfLiteInterpreterGetOutputTensorIndex(TfLiteInterpreter interpreter, int output_index) Returns the tensor index corresponding to the output tensor WARNING: This is an experimental API and subject to change.
static int	tensorflowlite.TfLiteInterpreterGetSignatureCount(TfLiteInterpreter interpreter) -------------------------------------------------------------------------- SignatureRunner APIs You can run inference by either: (i) (recommended) using the Interpreter to initialize SignatureRunner(s) and then only using SignatureRunner APIs.
static BytePointer	tensorflowlite.TfLiteInterpreterGetSignatureKey(TfLiteInterpreter interpreter, int signature_index) Returns the key of the Nth signature in the model, where N is specified as signature_index.
static TfLiteSignatureRunner	tensorflowlite.TfLiteInterpreterGetSignatureRunner(TfLiteInterpreter interpreter, BytePointer signature_key) Returns a new signature runner using the provided interpreter and signature key, or nullptr on failure.
static TfLiteSignatureRunner	tensorflowlite.TfLiteInterpreterGetSignatureRunner(TfLiteInterpreter interpreter, String signature_key)
static TfLiteTensor	tensorflowlite.TfLiteInterpreterGetTensor(TfLiteInterpreter interpreter, int index) Returns modifiable access to the tensor that corresponds to the specified index and is associated with the provided interpreter.
static TfLiteTensor	tensorflowlite.TfLiteInterpreterGetVariableTensor(TfLiteInterpreter interpreter, int variable_index)
static int	tensorflowlite.TfLiteInterpreterGetVariableTensorCount(TfLiteInterpreter interpreter)
static IntPointer	tensorflowlite.TfLiteInterpreterInputTensorIndices(TfLiteInterpreter interpreter) Returns a pointer to an array of input tensor indices.
static int	tensorflowlite.TfLiteInterpreterInvoke(TfLiteInterpreter interpreter) Runs inference for the loaded graph.
static int	tensorflowlite.TfLiteInterpreterModifyGraphWithDelegate(TfLiteInterpreter interpreter, TfLiteDelegate delegate) Allow a delegate to look at the graph and modify the graph to handle parts of the graph themselves.
static IntPointer	tensorflowlite.TfLiteInterpreterOutputTensorIndices(TfLiteInterpreter interpreter) Returns a pointer to an array of output tensor indices.
static int	tensorflowlite.TfLiteInterpreterResetVariableTensors(TfLiteInterpreter interpreter) Resets all variable tensors to zero.
static int	tensorflowlite.TfLiteInterpreterResizeInputTensor(TfLiteInterpreter interpreter, int input_index, int[] input_dims, int input_dims_size)
static int	tensorflowlite.TfLiteInterpreterResizeInputTensor(TfLiteInterpreter interpreter, int input_index, IntBuffer input_dims, int input_dims_size)
static int	tensorflowlite.TfLiteInterpreterResizeInputTensor(TfLiteInterpreter interpreter, int input_index, IntPointer input_dims, int input_dims_size) Resizes the specified input tensor.
static int	tensorflowlite.TfLiteInterpreterSetBufferHandle(TfLiteInterpreter interpreter, TfLiteTensor tensor, int buffer_handle, TfLiteOpaqueDelegateStruct delegate) -------------------------------------------------------------------------- BufferHandle APIs
static int	tensorflowlite.TfLiteInterpreterSetCustomAllocationForTensor(TfLiteInterpreter interpreter, int tensor_index, TfLiteCustomAllocation allocation, long flags) Assigns (or reassigns) a custom memory allocation for the given tensor.
static void	tensorflowlite.TfLiteSetAllowBufferHandleOutput(TfLiteInterpreter interpreter, boolean allow_buffer_handle_output) Sets whether buffer handle output is allowed.