Uses of Class
org.bytedeco.tensorflowlite.ErrorReporter

Packages that use ErrorReporter

Package	Description
org.bytedeco.tensorflowlite
org.bytedeco.tensorflowlite.global

Uses of ErrorReporter in org.bytedeco.tensorflowlite

Subclasses of ErrorReporter in org.bytedeco.tensorflowlite

Modifier and Type	Class and Description
class	StderrReporter

Methods in org.bytedeco.tensorflowlite that return ErrorReporter

Modifier and Type	Method and Description
ErrorReporter	Interpreter.error_reporter() \warning Experimental interface, subject to change.
ErrorReporter	FlatBufferModelBase.error_reporter()
static ErrorReporter	FlatBufferModel.GetDefaultErrorReporter()

Methods in org.bytedeco.tensorflowlite with parameters of type ErrorReporter

Modifier and Type	Method and Description
static FlatBufferModel	FlatBufferModelBase.BuildFromAllocation(Allocation allocation, ErrorReporter error_reporter) Builds a model directly from an allocation.
static FlatBufferModel	FlatBufferModelBase.BuildFromBuffer(BytePointer caller_owned_buffer, long buffer_size, ErrorReporter error_reporter) Builds a model based on a pre-loaded flatbuffer.
static FlatBufferModel	FlatBufferModelBase.BuildFromBuffer(String caller_owned_buffer, long buffer_size, ErrorReporter error_reporter)
static FlatBufferModel	FlatBufferModelBase.BuildFromFile(BytePointer filename, ErrorReporter error_reporter) Builds a model based on a file.
static FlatBufferModel	FlatBufferModelBase.BuildFromFile(String filename, ErrorReporter error_reporter)
static FlatBufferModel	FlatBufferModelBase.BuildFromFileDescriptor(int fd, ErrorReporter error_reporter) Builds a model based on a file descriptor.
static FlatBufferModel	FlatBufferModelBase.BuildFromModel(Pointer caller_owned_model_spec, ErrorReporter error_reporter) Builds a model directly from a flatbuffer pointer Caller retains ownership of the buffer and should keep it alive until the returned object is destroyed.
void	FlatBufferModelBase.ValidateModelBuffers(ErrorReporter error_reporter)
boolean	TfLiteVerifier.Verify(BytePointer data, int length, ErrorReporter reporter) Returns true if the model is legit.
boolean	TfLiteVerifier.Verify(String data, int length, ErrorReporter reporter)
static FlatBufferModel	FlatBufferModelBase.VerifyAndBuildFromAllocation(Allocation allocation, TfLiteVerifier extra_verifier, ErrorReporter error_reporter) Verifies whether the content of the allocation is legit, then builds a model based on the provided allocation.
static FlatBufferModel	FlatBufferModelBase.VerifyAndBuildFromBuffer(BytePointer caller_owned_buffer, long buffer_size, TfLiteVerifier extra_verifier, ErrorReporter error_reporter) Verifies whether the content of the buffer is legit, then builds a model based on the pre-loaded flatbuffer.
static FlatBufferModel	FlatBufferModelBase.VerifyAndBuildFromBuffer(String caller_owned_buffer, long buffer_size, TfLiteVerifier extra_verifier, ErrorReporter error_reporter)
static FlatBufferModel	FlatBufferModelBase.VerifyAndBuildFromFile(BytePointer filename, TfLiteVerifier extra_verifier, ErrorReporter error_reporter) Verifies whether the content of the file is legit, then builds a model based on the file.
static FlatBufferModel	FlatBufferModelBase.VerifyAndBuildFromFile(String filename, TfLiteVerifier extra_verifier, ErrorReporter error_reporter)

Constructors in org.bytedeco.tensorflowlite with parameters of type ErrorReporter

Constructor and Description
FileCopyAllocation(BytePointer filename, ErrorReporter error_reporter) Loads the provided file into a heap memory region.
FileCopyAllocation(String filename, ErrorReporter error_reporter)
Interpreter(ErrorReporter error_reporter)
InterpreterBuilder(Pointer model, OpResolver op_resolver, ErrorReporter error_reporter, InterpreterOptions options_experimental, Allocation allocation) Builds an interpreter given only the raw flatbuffer Model object (instead of a FlatBufferModel).
MemoryAllocation(Pointer ptr, long num_bytes, ErrorReporter error_reporter) Provides a (read-only) view of the provided buffer region as an allocation.
Subgraph(ErrorReporter error_reporter, PointerPointer external_contexts, SubgraphVector subgraphs, IntResourceBaseMap resources, StringIntMap resource_ids, SizeTSizeTMap initialization_status_map, int subgraph_index)
Subgraph(ErrorReporter error_reporter, TfLiteExternalContext external_contexts, SubgraphVector subgraphs, IntResourceBaseMap resources, StringIntMap resource_ids, SizeTSizeTMap initialization_status_map)
Subgraph(ErrorReporter error_reporter, TfLiteExternalContext external_contexts, SubgraphVector subgraphs, IntResourceBaseMap resources, StringIntMap resource_ids, SizeTSizeTMap initialization_status_map, int subgraph_index)

Uses of ErrorReporter in org.bytedeco.tensorflowlite.global

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

Modifier and Type	Method and Description
static ErrorReporter	tensorflowlite.DefaultErrorReporter() \file /** /** Memory management for TF Lite.

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

Modifier and Type	Method and Description
static Allocation	tensorflowlite.GetAllocationFromFile(BytePointer filename, ErrorReporter error_reporter) \file /** /** Deserialization infrastructure for tflite.
static Allocation	tensorflowlite.GetAllocationFromFile(int fd, ErrorReporter error_reporter)
static Allocation	tensorflowlite.GetAllocationFromFile(String filename, ErrorReporter error_reporter)
static int	tensorflowlite.GetRegistrationFromOpCode(Pointer opcode, OpResolver op_resolver, ErrorReporter error_reporter, PointerPointer registration)
static int	tensorflowlite.GetRegistrationFromOpCode(Pointer opcode, OpResolver op_resolver, ErrorReporter error_reporter, TfLiteRegistration registration)