Index (onnxruntime 1.18.0 API)

A B C D E F G H I K L M N O P R S T U V X
All Classes All Packages

A

ACL - ai.onnxruntime.OrtProvider: The ARM Compute Library execution provider.
add(long, long, String, String) - Method in class ai.onnxruntime.providers.OrtCUDAProviderOptions: Adds an option to this options instance.
add(long, long, String, String) - Method in class ai.onnxruntime.providers.OrtTensorRTProviderOptions: Adds an option to this options instance.
addACL(boolean) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds the ARM Compute Library as an execution backend.
addArmNN(boolean) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds the ARM Neural Net library as an execution backend.
addConfigEntry(String, String) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds a single session configuration entry as a pair of strings.
addCoreML() - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds Apple's CoreML as an execution backend.
addCoreML(EnumSet<CoreMLFlags>) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds Apple's CoreML as an execution backend.
addCPU(boolean) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds the CPU as an execution backend, using the arena allocator if desired.
addCUDA() - Method in class ai.onnxruntime.OrtSession.SessionOptions: Add CUDA as an execution backend, using device 0.
addCUDA(int) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Add CUDA as an execution backend, using the specified CUDA device id.
addCUDA(OrtCUDAProviderOptions) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds CUDA as an execution backend, using the specified CUDA options.
addDirectML(int) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds DirectML as an execution backend.
addDnnl(boolean) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds Intel's Deep Neural Network Library as an execution backend.
addExternalInitializers(Map<String, OnnxTensorLike>) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds in the supplied externally loaded initializers.
addInitializer(String, OnnxTensorLike) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds an initializer to override one from the ONNX model.
addNnapi() - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds Android's NNAPI as an execution backend.
addNnapi(EnumSet<NNAPIFlags>) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds Android's NNAPI as an execution backend.
addOpenVINO(String) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds OpenVINO as an execution backend.
addProperty(String, float) - Method in class ai.onnxruntime.OrtTrainingSession: Adds a float property to this training session checkpoint.
addProperty(String, int) - Method in class ai.onnxruntime.OrtTrainingSession: Adds a int property to this training session checkpoint.
addProperty(String, String) - Method in class ai.onnxruntime.OrtTrainingSession: Adds a String property to this training session checkpoint.
addROCM() - Method in class ai.onnxruntime.OrtSession.SessionOptions: Add ROCM as an execution backend, using device 0.
addROCM(int) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Add ROCM as an execution backend, using the specified ROCM device id.
addRunConfigEntry(String, String) - Method in class ai.onnxruntime.OrtSession.RunOptions: Adds a configuration entry to this RunOptions.
addTensorrt(int) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds Nvidia's TensorRT as an execution backend.
addTensorrt(OrtTensorRTProviderOptions) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds Nvidia's TensorRT as an execution backend.
addTvm(String) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds TVM as an execution backend.
addXnnpack(Map<String, String>) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Adds Xnnpack as an execution backend.
aggregateToInt(EnumSet<E>) - Static method in interface ai.onnxruntime.providers.OrtFlags: Converts an EnumSet of flags into the value expected by the C API.
ai.onnxruntime - package ai.onnxruntime: A Java interface to the ONNX Runtime.
ai.onnxruntime.platform - package ai.onnxruntime.platform: A package of platform specific code, used to swap out Java implementations which don't run on Android.
ai.onnxruntime.providers - package ai.onnxruntime.providers: Classes for controlling the behaviour of ONNX Runtime Execution Providers.
ALL_OPT - ai.onnxruntime.OrtSession.SessionOptions.OptLevel: Applies all available optimizations to the ONNX graph.
allocatorHandle - Variable in class ai.onnxruntime.OnnxTensorLike: The pointer to the native memory allocator.
ARM_NN - ai.onnxruntime.OrtProvider: The ARM NN execution provider.
AZURE - ai.onnxruntime.OrtProvider: The Azure remote endpoint execution provider.

B

BASIC_OPT - ai.onnxruntime.OrtSession.SessionOptions.OptLevel: Apply basic optimizations such as constant folding, redundant computation elimination and node fusions to the ONNX graph.
bf16ToFloat(short) - Static method in class ai.onnxruntime.platform.Fp16Conversions: Converts a bf16 value stored in a short into a float value.
BFLOAT16 - ai.onnxruntime.OnnxJavaType: A non-IEEE 16-bit floating point value, with 8 exponent bits and 7 mantissa bits.
BLOCK_SPARSE - ai.onnxruntime.OnnxSparseTensor.SparseTensorType: Block sparse tensor.
BlockSparseTensor(IntBuffer, long[], Buffer, long[], long[], OnnxJavaType, long) - Constructor for class ai.onnxruntime.OnnxSparseTensor.BlockSparseTensor: Construct a block sparse tensor.
BOOL - ai.onnxruntime.OnnxJavaType: A boolean value stored in a single byte.

C

checkClosed() - Method in class ai.onnxruntime.OnnxMap: Checks if the OnnxValue is closed, if so throws IllegalStateException.
checkClosed() - Method in class ai.onnxruntime.OnnxSequence: Checks if the OnnxValue is closed, if so throws IllegalStateException.
checkClosed() - Method in class ai.onnxruntime.OnnxTensorLike: Checks if the OnnxValue is closed, if so throws IllegalStateException.
checkClosed() - Method in class ai.onnxruntime.OrtProviderOptions: Checks if the OrtProviderOptions is closed, if so throws IllegalStateException.
clazz - Variable in enum ai.onnxruntime.OnnxJavaType: The Java side type used as the carrier.
close() - Method in class ai.onnxruntime.OnnxMap: Closes this map, releasing the native memory backing it and it's elements.
close() - Method in class ai.onnxruntime.OnnxSequence: Closes this sequence, releasing the native memory backing it and it's elements.
close() - Method in class ai.onnxruntime.OnnxSparseTensor
close() - Method in class ai.onnxruntime.OnnxTensor: Closes the tensor, releasing its underlying memory (if it's not backed by an NIO buffer).
close() - Method in interface ai.onnxruntime.OnnxValue: Closes the OnnxValue, freeing its native memory.
close() - Method in class ai.onnxruntime.OrtEnvironment: Close is a no-op on OrtEnvironment since ORT 1.11.
close() - Method in class ai.onnxruntime.OrtEnvironment.ThreadingOptions: Closes the threading options.
close() - Method in class ai.onnxruntime.OrtProviderOptions
close() - Method in class ai.onnxruntime.OrtSession: Closes the session, releasing it's resources.
close() - Method in class ai.onnxruntime.OrtSession.Result
close() - Method in class ai.onnxruntime.OrtSession.RunOptions
close() - Method in class ai.onnxruntime.OrtSession.SessionOptions: Closes the session options, releasing any memory acquired.
close() - Method in class ai.onnxruntime.OrtTrainingSession
close(long, long) - Method in class ai.onnxruntime.OrtProviderOptions: Native close method.
close(long, long) - Method in class ai.onnxruntime.providers.OrtCUDAProviderOptions: Closes this options instance.
close(long, long) - Method in class ai.onnxruntime.providers.OrtTensorRTProviderOptions: Closes this options instance.
close(Iterable<? extends OnnxValue>) - Static method in interface ai.onnxruntime.OnnxValue: Calls close on each element of the iterable.
close(Map<String, ? extends OnnxValue>) - Static method in interface ai.onnxruntime.OnnxValue: Calls close on each OnnxValue in the map.
closed - Variable in class ai.onnxruntime.OnnxTensorLike: Is this value closed?
closed - Variable in class ai.onnxruntime.OrtProviderOptions: Is the native object closed?
constructFromBuffer(Buffer, long[], OnnxJavaType) - Static method in class ai.onnxruntime.TensorInfo: Constructs a TensorInfo from the supplied byte buffer.
constructFromJavaArray(Object) - Static method in class ai.onnxruntime.TensorInfo: Constructs a TensorInfo from the supplied multidimensional Java array, used to allocate the appropriate amount of native memory.
constructFromSparseTensor(OnnxSparseTensor.SparseTensor<T>) - Static method in class ai.onnxruntime.TensorInfo: Constructs a TensorInfo from the supplied OnnxSparseTensor.SparseTensor.
convertBf16BufferToFloatBuffer(ShortBuffer) - Static method in class ai.onnxruntime.platform.Fp16Conversions: Casts a buffer of bf16 values stored as shorts into a buffer of floats.
convertFloatBufferToBf16Buffer(FloatBuffer) - Static method in class ai.onnxruntime.platform.Fp16Conversions: Rounds a buffer of floats into a buffer containing bf16 values (stored as shorts in Java).
convertFloatBufferToFp16Buffer(FloatBuffer) - Static method in class ai.onnxruntime.platform.Fp16Conversions: Rounds a buffer of floats into a buffer containing fp16 values (stored as shorts in Java).
convertFp16BufferToFloatBuffer(ShortBuffer) - Static method in class ai.onnxruntime.platform.Fp16Conversions: Casts a buffer of fp16 values stored as shorts into a buffer of floats.
COO - ai.onnxruntime.OnnxSparseTensor.SparseTensorType: COO sparse tensor.
COOTensor(LongBuffer, long[], Buffer, long[], OnnxJavaType, long) - Constructor for class ai.onnxruntime.OnnxSparseTensor.COOTensor: Creates a COO sparse tensor suitable for constructing an ORT Sparse Tensor.
CORE_ML - ai.onnxruntime.OrtProvider: The Apple CoreML execution provider.
CoreMLFlags - Enum in ai.onnxruntime.providers: Flags for the CoreML provider.
CPU - ai.onnxruntime.OrtProvider: The CPU execution provider.
CPU_DISABLED - ai.onnxruntime.providers.NNAPIFlags: Disables NNAPI from using CPU.
CPU_ONLY - ai.onnxruntime.providers.CoreMLFlags: Use only the CPU, disables the GPU and Apple Neural Engine.
CPU_ONLY - ai.onnxruntime.providers.NNAPIFlags: NNAPI will only use CPU.
create() - Method in interface ai.onnxruntime.OrtProviderOptions.OrtProviderSupplier: Calls the function to get the native pointer.
createSession(byte[]) - Method in class ai.onnxruntime.OrtEnvironment: Create a session using the default OrtSession.SessionOptions, model and the default memory allocator.
createSession(byte[], OrtSession.SessionOptions) - Method in class ai.onnxruntime.OrtEnvironment: Create a session using the specified OrtSession.SessionOptions, model and the default memory allocator.
createSession(String) - Method in class ai.onnxruntime.OrtEnvironment: Create a session using the default OrtSession.SessionOptions, model and the default memory allocator.
createSession(String, OrtSession.SessionOptions) - Method in class ai.onnxruntime.OrtEnvironment: Create a session using the specified OrtSession.SessionOptions, model and the default memory allocator.
createSparseTensor(OrtEnvironment, OnnxSparseTensor.SparseTensor<T>) - Static method in class ai.onnxruntime.OnnxSparseTensor: Creates a Sparse Tensor in ORT from the Java side representation.
createTensor(OrtEnvironment, Object) - Static method in class ai.onnxruntime.OnnxTensor: Create a Tensor from a Java primitive, primitive multidimensional array or String multidimensional array.
createTensor(OrtEnvironment, String[], long[]) - Static method in class ai.onnxruntime.OnnxTensor: Create a tensor from a flattened string array.
createTensor(OrtEnvironment, ByteBuffer, long[]) - Static method in class ai.onnxruntime.OnnxTensor: Create an OnnxTensor backed by a direct ByteBuffer.
createTensor(OrtEnvironment, ByteBuffer, long[], OnnxJavaType) - Static method in class ai.onnxruntime.OnnxTensor: Create an OnnxTensor backed by a direct ByteBuffer.
createTensor(OrtEnvironment, DoubleBuffer, long[]) - Static method in class ai.onnxruntime.OnnxTensor: Create an OnnxTensor backed by a direct DoubleBuffer.
createTensor(OrtEnvironment, FloatBuffer, long[]) - Static method in class ai.onnxruntime.OnnxTensor: Create an OnnxTensor backed by a direct FloatBuffer.
createTensor(OrtEnvironment, IntBuffer, long[]) - Static method in class ai.onnxruntime.OnnxTensor: Create an OnnxTensor backed by a direct IntBuffer.
createTensor(OrtEnvironment, LongBuffer, long[]) - Static method in class ai.onnxruntime.OnnxTensor: Create an OnnxTensor backed by a direct LongBuffer.
createTensor(OrtEnvironment, ShortBuffer, long[]) - Static method in class ai.onnxruntime.OnnxTensor: Create an OnnxTensor backed by a direct ShortBuffer.
createTrainingSession(String, String, String, String) - Method in class ai.onnxruntime.OrtEnvironment: Create a training session using the default OrtSession.SessionOptions, model and the default memory allocator.
createTrainingSession(String, String, String, String, OrtSession.SessionOptions) - Method in class ai.onnxruntime.OrtEnvironment: Create a training session using the specified OrtSession.SessionOptions, model and the default memory allocator.
CSRC - ai.onnxruntime.OnnxSparseTensor.SparseTensorType: CSR or CSC sparse tensor.
CSRCTensor(LongBuffer, LongBuffer, Buffer, long[], OnnxJavaType, long) - Constructor for class ai.onnxruntime.OnnxSparseTensor.CSRCTensor: Creates a CSRC sparse tensor suitable for constructing an ORT Sparse Tensor.
CUDA - ai.onnxruntime.OrtProvider: CUDA execution provider for Nvidia GPUs.

D

DEFAULT_NAME - Static variable in class ai.onnxruntime.OrtEnvironment: The default name for ORT environments constructed from Java.
DIRECT_ML - ai.onnxruntime.OrtProvider: The Windows DirectML execution provider.
disablePerSessionThreads() - Method in class ai.onnxruntime.OrtSession.SessionOptions: Disables the per session thread pools.
disableProfiling() - Method in class ai.onnxruntime.OrtSession.SessionOptions: Disables profiling in sessions using this SessionOptions.
DNNL - ai.onnxruntime.OrtProvider: The Intel Deep Neural Network Library execution provider.
DOUBLE - ai.onnxruntime.OnnxJavaType: A 64-bit floating point value.
DOUBLE - ai.onnxruntime.OnnxMap.OnnxMapValueType: A 64-bit floating point value.

E

elementCount(long[]) - Static method in class ai.onnxruntime.OrtUtil: Counts the number of elements stored in a Tensor of this shape.
ENABLE_ON_SUBGRAPH - ai.onnxruntime.providers.CoreMLFlags: Enables CoreML on subgraphs.
enableProfiling(String) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Enables profiling in sessions using this SessionOptions.
endProfiling() - Method in class ai.onnxruntime.OrtSession: Ends the profiling session and returns the output of the profiler.
equals(Object) - Method in class ai.onnxruntime.OnnxModelMetadata
evalStep(Map<String, ? extends OnnxTensorLike>) - Method in class ai.onnxruntime.OrtTrainingSession: Performs a single evaluation step using the supplied inputs.
evalStep(Map<String, ? extends OnnxTensorLike>, OrtSession.RunOptions) - Method in class ai.onnxruntime.OrtTrainingSession: Performs a single evaluation step using the supplied inputs.
evalStep(Map<String, ? extends OnnxTensorLike>, Map<String, ? extends OnnxValue>) - Method in class ai.onnxruntime.OrtTrainingSession: Performs a single evaluation step using the supplied inputs.
evalStep(Map<String, ? extends OnnxTensorLike>, Set<String>) - Method in class ai.onnxruntime.OrtTrainingSession: Performs a single evaluation step using the supplied inputs.
evalStep(Map<String, ? extends OnnxTensorLike>, Set<String>, Map<String, ? extends OnnxValue>, OrtSession.RunOptions) - Method in class ai.onnxruntime.OrtTrainingSession: Performs a single evaluation step using the supplied inputs.
exportModelForInference(Path, String[]) - Method in class ai.onnxruntime.OrtTrainingSession: Exports the evaluation model as a model suitable for inference, setting the desired nodes as output nodes.
EXTENDED_OPT - ai.onnxruntime.OrtSession.SessionOptions.OptLevel: Applies all the basic optimizations plus more complex node fusion operations to the ONNX graph.

F

flattenString(Object) - Static method in class ai.onnxruntime.OrtUtil: Flatten a multidimensional String array into a single dimensional String array, reading it in a multidimensional row-major order.
FLOAT - ai.onnxruntime.OnnxJavaType: A 32-bit floating point value.
FLOAT - ai.onnxruntime.OnnxMap.OnnxMapValueType: A 32-bit floating point value.
FLOAT16 - ai.onnxruntime.OnnxJavaType: A IEEE 16-bit floating point value.
floatToBf16(float) - Static method in class ai.onnxruntime.platform.Fp16Conversions: Converts a float into bf16.
floatToFp16(float) - Static method in class ai.onnxruntime.platform.Fp16Conversions: Converts a float value into a fp16 value stored in a short.
Fp16Conversions - Class in ai.onnxruntime.platform: Conversions between fp16, bfloat16 and fp32.
Fp16Conversions() - Constructor for class ai.onnxruntime.platform.Fp16Conversions
fp16ToFloat(short) - Static method in class ai.onnxruntime.platform.Fp16Conversions: Converts a fp16 value stored in a short into a float value.

G

get(int) - Method in class ai.onnxruntime.OrtSession.Result: Gets the value from the container at the specified index.
get(String) - Method in class ai.onnxruntime.OrtSession.Result: Gets the value from the container assuming it's not been closed.
getApiHandle() - Static method in class ai.onnxruntime.OrtProviderOptions: Allow access to the api handle pointer for subclasses.
getAvailableProviders() - Static method in class ai.onnxruntime.OrtEnvironment: Gets the providers available in this environment.
getBufferRef() - Method in class ai.onnxruntime.OnnxTensor: Returns a reference to the buffer which backs this OnnxTensor.
getByteBuffer() - Method in class ai.onnxruntime.OnnxTensor: Returns a copy of the underlying OnnxTensor as a ByteBuffer.
getCode() - Method in exception ai.onnxruntime.OrtException: Return the error code.
getConfigEntries() - Method in class ai.onnxruntime.OrtSession.SessionOptions: Returns an unmodifiable view of the map contains all session configuration entries.
getCustomMetadata() - Method in class ai.onnxruntime.OnnxModelMetadata: Gets an unmodifiable reference to the complete custom metadata.
getCustomMetadataValue(String) - Method in class ai.onnxruntime.OnnxModelMetadata: Returns Optional.of(value) if the custom metadata has a value for the supplied key, otherwise returns Optional.empty().
getDenseShape() - Method in class ai.onnxruntime.OnnxSparseTensor.SparseTensor: Gets the dense shape of the sparse tensor.
getDescription() - Method in class ai.onnxruntime.OnnxModelMetadata: Gets the model description.
getDimensionNames() - Method in class ai.onnxruntime.TensorInfo: Get a copy of the tensor's named dimensions.
getDomain() - Method in class ai.onnxruntime.OnnxModelMetadata: Gets the domain.
getDoubleBuffer() - Method in class ai.onnxruntime.OnnxTensor: Returns a copy of the underlying OnnxTensor as a DoubleBuffer if the underlying type is a double, otherwise it returns null.
getEnvironment() - Static method in class ai.onnxruntime.OrtEnvironment: Gets the OrtEnvironment.
getEnvironment(OrtLoggingLevel) - Static method in class ai.onnxruntime.OrtEnvironment: Gets the OrtEnvironment.
getEnvironment(OrtLoggingLevel, String) - Static method in class ai.onnxruntime.OrtEnvironment: Gets the OrtEnvironment.
getEnvironment(OrtLoggingLevel, String, OrtEnvironment.ThreadingOptions) - Static method in class ai.onnxruntime.OrtEnvironment: Creates an OrtEnvironment using the specified global thread pool options.
getEnvironment(String) - Static method in class ai.onnxruntime.OrtEnvironment: Gets the OrtEnvironment.
getEvalInputNames() - Method in class ai.onnxruntime.OrtTrainingSession: Returns an ordered set of the eval model input names.
getEvalOutputNames() - Method in class ai.onnxruntime.OrtTrainingSession: Returns an ordered set of the eval model output names.
getFloatBuffer() - Method in class ai.onnxruntime.OnnxTensor: Returns a copy of the underlying OnnxTensor as a FloatBuffer if it can be losslessly converted into a float (i.e.
getFloatProperty(String) - Method in class ai.onnxruntime.OrtTrainingSession: Gets a float property from this training session checkpoint.
getGraphDescription() - Method in class ai.onnxruntime.OnnxModelMetadata: Gets the graph description.
getGraphName() - Method in class ai.onnxruntime.OnnxModelMetadata: Gets the graph name.
getID() - Method in enum ai.onnxruntime.OrtSession.SessionOptions.ExecutionMode: Gets the int id used in native code for the execution mode.
getID() - Method in enum ai.onnxruntime.OrtSession.SessionOptions.OptLevel: Gets the int id used in native code for this optimisation level.
getIndices() - Method in class ai.onnxruntime.OnnxSparseTensor.SparseTensor: Get the indices buffer.
getIndicesBuffer() - Method in class ai.onnxruntime.OnnxSparseTensor: Gets a copy of the indices.
getIndicesShape() - Method in class ai.onnxruntime.OnnxSparseTensor: Gets the shape of the (outer) indices.
getIndicesShape() - Method in class ai.onnxruntime.OnnxSparseTensor.SparseTensor: Gets the shape of the indices of the sparse tensor.
getIndicesType() - Method in class ai.onnxruntime.OnnxSparseTensor.BlockSparseTensor
getIndicesType() - Method in class ai.onnxruntime.OnnxSparseTensor.COOTensor
getIndicesType() - Method in class ai.onnxruntime.OnnxSparseTensor.CSRCTensor
getIndicesType() - Method in class ai.onnxruntime.OnnxSparseTensor.SparseTensor: The indices type of the sparse tensor.
getInfo() - Method in class ai.onnxruntime.NodeInfo: The type and shape information of this node.
getInfo() - Method in class ai.onnxruntime.OnnxMap
getInfo() - Method in class ai.onnxruntime.OnnxSequence
getInfo() - Method in class ai.onnxruntime.OnnxTensorLike: Returns a TensorInfo for this tensor.
getInfo() - Method in interface ai.onnxruntime.OnnxValue: Gets the type info object associated with this OnnxValue.
getInnerIndices() - Method in class ai.onnxruntime.OnnxSparseTensor.CSRCTensor: Gets the inner indices buffer.
getInnerIndicesBuffer() - Method in class ai.onnxruntime.OnnxSparseTensor: Gets a copy of the inner indices in a CSRC sparse tensor.
getInnerIndicesShape() - Method in class ai.onnxruntime.OnnxSparseTensor.CSRCTensor: Gets the shape of the inner indices.
getInnerIndicesShape() - Method in class ai.onnxruntime.OnnxSparseTensor: Gets the shape of the inner indices in a CSRC sparse tensor.
getInputInfo() - Method in class ai.onnxruntime.OrtSession: Returns the info objects for the inputs, including their names and types.
getInputNames() - Method in class ai.onnxruntime.OrtSession: Returns the input names.
getIntBuffer() - Method in class ai.onnxruntime.OnnxTensor: Returns a copy of the underlying OnnxTensor as an IntBuffer if the underlying type is int32 or uint32, otherwise it returns null.
getIntProperty(String) - Method in class ai.onnxruntime.OrtTrainingSession: Gets a int property from this training session checkpoint.
getLearningRate() - Method in class ai.onnxruntime.OrtTrainingSession: Gets the current learning rate for this training session.
getLogLevel() - Method in class ai.onnxruntime.OrtSession.RunOptions: Gets the current logging level set on this RunOptions.
getLogVerbosityLevel() - Method in class ai.onnxruntime.OrtSession.RunOptions: Gets the current logging verbosity level set on this RunOptions.
getLongBuffer() - Method in class ai.onnxruntime.OnnxTensor: Returns a copy of the underlying OnnxTensor as a LongBuffer if the underlying type is int64 or uint64, otherwise it returns null.
getMetadata() - Method in class ai.onnxruntime.OrtSession: Gets the metadata for the currently loaded model.
getName() - Method in class ai.onnxruntime.NodeInfo: The name of the node.
getName() - Method in enum ai.onnxruntime.OrtProvider: Accessor for the internal name of this provider.
getNumElements() - Method in class ai.onnxruntime.TensorInfo: Returns the number of elements in this tensor.
getNumInputs() - Method in class ai.onnxruntime.OrtSession: Returns the number of inputs this model expects.
getNumNonZeroElements() - Method in class ai.onnxruntime.OnnxSparseTensor.SparseTensor: The number of non-zero elements.
getNumOutputs() - Method in class ai.onnxruntime.OrtSession: Returns the number of outputs this model expects.
getOutputInfo() - Method in class ai.onnxruntime.OrtSession: Returns the info objects for the outputs, including their names and types.
getOutputNames() - Method in class ai.onnxruntime.OrtSession: Returns the output names.
getProducerName() - Method in class ai.onnxruntime.OnnxModelMetadata: Gets the producer name.
getProfilingStartTimeInNs() - Method in class ai.onnxruntime.OrtSession: Returns the timestamp that profiling started in nanoseconds.
getProvider() - Method in class ai.onnxruntime.OrtProviderOptions: Gets the provider enum for this options instance.
getProvider() - Method in class ai.onnxruntime.providers.OrtCUDAProviderOptions
getProvider() - Method in class ai.onnxruntime.providers.OrtTensorRTProviderOptions
getRunTag() - Method in class ai.onnxruntime.OrtSession.RunOptions: Gets the String used to log information about this run.
getShape() - Method in class ai.onnxruntime.TensorInfo: Get a copy of the tensor's shape.
getShortBuffer() - Method in class ai.onnxruntime.OnnxTensor: Returns a copy of the underlying OnnxTensor as a ShortBuffer if the underlying type is int16, uint16, fp16 or bf16, otherwise it returns null.
getSparseTensorType() - Method in class ai.onnxruntime.OnnxSparseTensor: Returns the type of this OnnxSparseTensor.
getSparsityType() - Method in class ai.onnxruntime.OnnxSparseTensor.BlockSparseTensor
getSparsityType() - Method in class ai.onnxruntime.OnnxSparseTensor.COOTensor
getSparsityType() - Method in class ai.onnxruntime.OnnxSparseTensor.CSRCTensor
getSparsityType() - Method in class ai.onnxruntime.OnnxSparseTensor.SparseTensor: The sparsity type of the sparse tensor.
getStringProperty(String) - Method in class ai.onnxruntime.OrtTrainingSession: Gets a String property from this training session checkpoint.
getTrainInputNames() - Method in class ai.onnxruntime.OrtTrainingSession: Returns an ordered set of the train model input names.
getTrainOutputNames() - Method in class ai.onnxruntime.OrtTrainingSession: Returns an ordered set of the train model output names.
getType() - Method in class ai.onnxruntime.OnnxMap
getType() - Method in class ai.onnxruntime.OnnxSequence
getType() - Method in class ai.onnxruntime.OnnxSparseTensor
getType() - Method in class ai.onnxruntime.OnnxSparseTensor.SparseTensor: The data type of the sparse tensor.
getType() - Method in class ai.onnxruntime.OnnxTensor
getType() - Method in interface ai.onnxruntime.OnnxValue: Gets the type of this OnnxValue.
getValue() - Method in class ai.onnxruntime.OnnxMap: Returns a weakly typed Map containing all the elements.
getValue() - Method in class ai.onnxruntime.OnnxSequence: Extracts a Java list of the OnnxValues which can then be further unwrapped.
getValue() - Method in class ai.onnxruntime.OnnxSparseTensor
getValue() - Method in class ai.onnxruntime.OnnxTensor: Either returns a boxed primitive if the Tensor is a scalar, or a multidimensional array of primitives if it has multiple dimensions.
getValue() - Method in interface ai.onnxruntime.OnnxValue: Returns the value as a Java object copying it out of the native heap.
getValue() - Method in enum ai.onnxruntime.OrtLoggingLevel: Gets the native value associated with this logging level.
getValue() - Method in enum ai.onnxruntime.providers.CoreMLFlags
getValue() - Method in enum ai.onnxruntime.providers.NNAPIFlags
getValue() - Method in interface ai.onnxruntime.providers.OrtFlags: Gets the underlying flag value.
getValues() - Method in class ai.onnxruntime.OnnxSparseTensor.SparseTensor: Get the value buffer.
getValuesBuffer() - Method in class ai.onnxruntime.OnnxSparseTensor: Gets a copy of the data buffer.
getValuesShape() - Method in class ai.onnxruntime.OnnxSparseTensor: Gets the shape of the values.
getValuesShape() - Method in class ai.onnxruntime.OnnxSparseTensor.SparseTensor: Gets the shape of the values of the sparse tensor.
getVersion() - Method in class ai.onnxruntime.OnnxModelMetadata: Gets the model version.
getVersion() - Method in class ai.onnxruntime.OrtEnvironment: Gets the native library version string.

H

hashCode() - Method in class ai.onnxruntime.OnnxModelMetadata

I

info - Variable in class ai.onnxruntime.OnnxTensorLike: The size and shape information for this tensor.
INT16 - ai.onnxruntime.OnnxJavaType: A 16-bit signed integer value.
INT32 - ai.onnxruntime.OnnxJavaType: A 32-bit signed integer value.
INT64 - ai.onnxruntime.OnnxJavaType: A 64-bit signed integer value.
INT8 - ai.onnxruntime.OnnxJavaType: An 8-bit signed integer value.
INVALID - ai.onnxruntime.OnnxMap.OnnxMapValueType: An invalid Map value type.
isClosed() - Method in class ai.onnxruntime.OnnxMap
isClosed() - Method in class ai.onnxruntime.OnnxSequence
isClosed() - Method in class ai.onnxruntime.OnnxTensorLike
isClosed() - Method in interface ai.onnxruntime.OnnxValue: Checks if this value is closed (i.e., the native object has been released).
isClosed() - Method in class ai.onnxruntime.OrtProviderOptions: Is the native object closed?
isResultOwner(int) - Method in class ai.onnxruntime.OrtSession.Result: Gets the value from the container at the specified index.
isScalar() - Method in class ai.onnxruntime.TensorInfo: Returns true if the shape represents a scalar value (i.e.
isSequenceOfMaps() - Method in class ai.onnxruntime.SequenceInfo: Is this a sequence of maps?
isTrainingEnabled() - Method in class ai.onnxruntime.OrtEnvironment: Is training enabled in this build of ONNX Runtime?
iterator() - Method in class ai.onnxruntime.OrtSession.Result

K

keyType - Variable in class ai.onnxruntime.MapInfo: The Java type of the keys.

L

lazyResetGrad() - Method in class ai.onnxruntime.OrtTrainingSession: Ensures the gradients are reset to zero before the next call to OrtTrainingSession.trainStep(java.util.Map<java.lang.String, ? extends ai.onnxruntime.OnnxTensorLike>).
length - Variable in class ai.onnxruntime.SequenceInfo: The number of elements in this sequence.
loadLibraryAndCreate(OrtProvider, OrtProviderOptions.OrtProviderSupplier) - Static method in class ai.onnxruntime.OrtProviderOptions: Loads the provider's shared library (if necessary) and calls the create provider function.
LONG - ai.onnxruntime.OnnxMap.OnnxMapValueType: A 64-bit signed integer value.

M

makeCarrier() - Method in class ai.onnxruntime.TensorInfo: Constructs an array the right shape and type to hold this tensor.
mapFromClass(Class<?>) - Static method in enum ai.onnxruntime.OnnxJavaType: Maps from a Java class object into the enum type, returning OnnxJavaType.UNKNOWN for unsupported types.
mapFromInt(int) - Static method in enum ai.onnxruntime.OnnxJavaType: Maps from an int in native land into an OnnxJavaType instance.
mapFromInt(int) - Static method in enum ai.onnxruntime.OnnxMap.OnnxMapValueType: Gets the enum type from it's integer id.
mapFromInt(int) - Static method in enum ai.onnxruntime.OnnxSparseTensor.SparseTensorType: Maps from an int in native land into a SparseTensorType instance.
mapFromInt(int) - Static method in enum ai.onnxruntime.OrtException.OrtErrorCode: Maps from an int in native land into an OrtErrorCode instance.
mapFromInt(int) - Static method in enum ai.onnxruntime.OrtLoggingLevel: Maps from the C API's int enum to the Java enum.
mapFromInt(int) - Static method in enum ai.onnxruntime.TensorInfo.OnnxTensorType: Maps from the C API's int enum to the Java enum.
mapFromJavaType(OnnxJavaType) - Static method in enum ai.onnxruntime.TensorInfo.OnnxTensorType: Maps a OnnxJavaType into the appropriate native element type.
mapFromName(String) - Static method in enum ai.onnxruntime.OrtProvider: Maps from the name string used by ONNX Runtime into the enum.
mapFromOnnxJavaType(OnnxJavaType) - Static method in enum ai.onnxruntime.OnnxMap.OnnxMapValueType: Maps a OnnxJavaType into a map value type.
mapFromOnnxTensorType(TensorInfo.OnnxTensorType) - Static method in enum ai.onnxruntime.OnnxJavaType: Maps from the TensorInfo.OnnxTensorType enum to the corresponding OnnxJavaType enum, converting types as appropriate.
mapInfo - Variable in class ai.onnxruntime.SequenceInfo: The type of the map if it contains a map, null otherwise.
MapInfo - Class in ai.onnxruntime: Describes an OnnxMap object or output node.
MAX_DIMENSIONS - Static variable in class ai.onnxruntime.TensorInfo: Maximum number of dimensions supported by the Java interface methods.
MI_GRAPH_X - ai.onnxruntime.OrtProvider: The AMD MIGraphX execution provider.
mlasFloatToFp16(float) - Static method in class ai.onnxruntime.platform.Fp16Conversions: Rounds a float value to fp16.
mlasFp16ToFloat(short) - Static method in class ai.onnxruntime.platform.Fp16Conversions: Upcasts a fp16 value to a float.

N

nativeHandle - Variable in class ai.onnxruntime.OnnxTensorLike: The native pointer.
nativeHandle - Variable in class ai.onnxruntime.OrtProviderOptions: The native pointer.
newBooleanArray(long[]) - Static method in class ai.onnxruntime.OrtUtil: Creates a new primitive boolean array of up to 8 dimensions, using the supplied shape.
newByteArray(long[]) - Static method in class ai.onnxruntime.OrtUtil: Creates a new primitive byte array of up to 8 dimensions, using the supplied shape.
newDoubleArray(long[]) - Static method in class ai.onnxruntime.OrtUtil: Creates a new primitive double array of up to 8 dimensions, using the supplied shape.
newFloatArray(long[]) - Static method in class ai.onnxruntime.OrtUtil: Creates a new primitive float array of up to 8 dimensions, using the supplied shape.
newIntArray(long[]) - Static method in class ai.onnxruntime.OrtUtil: Creates a new primitive int array of up to 8 dimensions, using the supplied shape.
newLongArray(long[]) - Static method in class ai.onnxruntime.OrtUtil: Creates a new primitive long array of up to 8 dimensions, using the supplied shape.
newShortArray(long[]) - Static method in class ai.onnxruntime.OrtUtil: Creates a new primitive short array of up to 8 dimensions, using the supplied shape.
newStringArray(long[]) - Static method in class ai.onnxruntime.OrtUtil: Creates a new String array of up to 8 dimensions, using the supplied shape.
NNAPI - ai.onnxruntime.OrtProvider: The Android NNAPI execution provider.
NNAPIFlags - Enum in ai.onnxruntime.providers: Flags for the NNAPI provider.
NO_OPT - ai.onnxruntime.OrtSession.SessionOptions.OptLevel: Apply no optimizations to the ONNX graph.
NodeInfo - Class in ai.onnxruntime: The info for an input or output node from an ONNX model.
NodeInfo(String, ValueInfo) - Constructor for class ai.onnxruntime.NodeInfo: Creates a node info object from the supplied name and value info.

O

ONLY_ENABLE_DEVICE_WITH_ANE - ai.onnxruntime.providers.CoreMLFlags: Only enable usage of CoreML if the device has an Apple Neural Engine.
ONNX_TENSOR_ELEMENT_DATA_TYPE_BFLOAT16 - ai.onnxruntime.TensorInfo.OnnxTensorType: A non-IEEE 16-bit floating point value with 8 exponent bits and 7 mantissa bits.
ONNX_TENSOR_ELEMENT_DATA_TYPE_BOOL - ai.onnxruntime.TensorInfo.OnnxTensorType: A boolean value stored in a byte.
ONNX_TENSOR_ELEMENT_DATA_TYPE_COMPLEX128 - ai.onnxruntime.TensorInfo.OnnxTensorType: A 128-bit complex number, stored as 2 64-bit values.
ONNX_TENSOR_ELEMENT_DATA_TYPE_COMPLEX64 - ai.onnxruntime.TensorInfo.OnnxTensorType: A 64-bit complex number, stored as 2 32-bit values.
ONNX_TENSOR_ELEMENT_DATA_TYPE_DOUBLE - ai.onnxruntime.TensorInfo.OnnxTensorType: An IEEE 64-bit floating point number.
ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT - ai.onnxruntime.TensorInfo.OnnxTensorType: An IEEE 32-bit floating point number.
ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16 - ai.onnxruntime.TensorInfo.OnnxTensorType: An IEEE 16-bit floating point number.
ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT8E4M3FN - ai.onnxruntime.TensorInfo.OnnxTensorType: A non-IEEE 8-bit floating point format with 4 exponent bits and 3 mantissa bits, with NaN and no infinite values (FN).
ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT8E4M3FNUZ - ai.onnxruntime.TensorInfo.OnnxTensorType: A non-IEEE 8-bit floating point format with 4 exponent bits and 3 mantissa bits, with NaN, no infinite values (FN) and no negative zero (UZ).
ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT8E5M2 - ai.onnxruntime.TensorInfo.OnnxTensorType: A non-IEEE 8-bit floating point format with 5 exponent bits and 2 mantissa bits.
ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT8E5M2FNUZ - ai.onnxruntime.TensorInfo.OnnxTensorType: A non-IEEE 8-bit floating point format with 5 exponent bits and 2 mantissa bits, with NaN, no infinite values (FN) and no negative zero (UZ).
ONNX_TENSOR_ELEMENT_DATA_TYPE_INT16 - ai.onnxruntime.TensorInfo.OnnxTensorType: A 16-bit signed integer.
ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32 - ai.onnxruntime.TensorInfo.OnnxTensorType: A 32-bit signed integer.
ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64 - ai.onnxruntime.TensorInfo.OnnxTensorType: A 64-bit signed integer.
ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8 - ai.onnxruntime.TensorInfo.OnnxTensorType: An 8-bit signed integer.
ONNX_TENSOR_ELEMENT_DATA_TYPE_STRING - ai.onnxruntime.TensorInfo.OnnxTensorType: A UTF-8 string.
ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT16 - ai.onnxruntime.TensorInfo.OnnxTensorType: A 16-bit unsigned integer.
ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT32 - ai.onnxruntime.TensorInfo.OnnxTensorType: A 32-bit unsigned integer.
ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT64 - ai.onnxruntime.TensorInfo.OnnxTensorType: A 64-bit unsigned integer.
ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8 - ai.onnxruntime.TensorInfo.OnnxTensorType: An 8-bit unsigned integer.
ONNX_TENSOR_ELEMENT_DATA_TYPE_UNDEFINED - ai.onnxruntime.TensorInfo.OnnxTensorType: An undefined element type.
ONNX_TYPE_MAP - ai.onnxruntime.OnnxValue.OnnxValueType: A map.
ONNX_TYPE_OPAQUE - ai.onnxruntime.OnnxValue.OnnxValueType: An opaque type not accessible from Java.
ONNX_TYPE_OPTIONAL - ai.onnxruntime.OnnxValue.OnnxValueType: An optional input value.
ONNX_TYPE_SEQUENCE - ai.onnxruntime.OnnxValue.OnnxValueType: A sequence of tensors or maps.
ONNX_TYPE_SPARSETENSOR - ai.onnxruntime.OnnxValue.OnnxValueType: A sparse tensor.
ONNX_TYPE_TENSOR - ai.onnxruntime.OnnxValue.OnnxValueType: A tensor.
ONNX_TYPE_UNKNOWN - ai.onnxruntime.OnnxValue.OnnxValueType: An unknown OrtValue type.
OnnxJavaType - Enum in ai.onnxruntime: An enum representing ONNX Runtime supported Java primitive types (and String).
OnnxMap - Class in ai.onnxruntime: A container for a map returned by OrtSession.run(Map).
OnnxMap.OnnxMapValueType - Enum in ai.onnxruntime: An enum representing the Java type of the values stored in an OnnxMap.
OnnxModelMetadata - Class in ai.onnxruntime: Contains the metadata associated with an ONNX model.
OnnxModelMetadata(OnnxModelMetadata) - Constructor for class ai.onnxruntime.OnnxModelMetadata: Copy constructor.
OnnxSequence - Class in ai.onnxruntime: A sequence of OnnxValues all of the same type.
OnnxSparseTensor - Class in ai.onnxruntime: A Java object wrapping an OnnxSparseTensor.
OnnxSparseTensor.BlockSparseTensor - Class in ai.onnxruntime: The Java side representation of a block sparse tensor.
OnnxSparseTensor.COOTensor - Class in ai.onnxruntime: The Java side representation of a COO sparse tensor.
OnnxSparseTensor.CSRCTensor - Class in ai.onnxruntime: The Java side representation of a CSRC sparse tensor.
OnnxSparseTensor.SparseTensor<T extends java.nio.Buffer> - Class in ai.onnxruntime: Abstract base class for Java sparse tensors
OnnxSparseTensor.SparseTensorType - Enum in ai.onnxruntime: The type of the sparse tensor.
OnnxTensor - Class in ai.onnxruntime: A Java object wrapping an OnnxTensor.
OnnxTensorLike - Class in ai.onnxruntime: Currently implemented by OnnxTensor, OnnxSparseTensor.
onnxType - Variable in class ai.onnxruntime.TensorInfo: The native type of this tensor.
OnnxValue - Interface in ai.onnxruntime: Top interface for input and output values from ONNX models.
OnnxValue.OnnxValueType - Enum in ai.onnxruntime: The type of the OnnxValue, mirroring the id in the C API.
OPEN_VINO - ai.onnxruntime.OrtProvider: The OpenVINO execution provider.
optimizerStep() - Method in class ai.onnxruntime.OrtTrainingSession: Applies the gradient updates to the trainable parameters using the optimizer model.
optimizerStep(OrtSession.RunOptions) - Method in class ai.onnxruntime.OrtTrainingSession: Applies the gradient updates to the trainable parameters using the optimizer model.
ORT_ENGINE_ERROR - ai.onnxruntime.OrtException.OrtErrorCode: There is an internal error in the ORT engine.
ORT_EP_FAIL - ai.onnxruntime.OrtException.OrtErrorCode: The ORT execution provider failed.
ORT_FAIL - ai.onnxruntime.OrtException.OrtErrorCode: The operation failed.
ORT_INVALID_ARGUMENT - ai.onnxruntime.OrtException.OrtErrorCode: The operation received an invalid argument.
ORT_INVALID_GRAPH - ai.onnxruntime.OrtException.OrtErrorCode: The ONNX graph is invalid.
ORT_INVALID_PROTOBUF - ai.onnxruntime.OrtException.OrtErrorCode: The provided protobuf was invalid.
ORT_JAVA_UNKNOWN - ai.onnxruntime.OrtException.OrtErrorCode: An unknown error occurred in the Java API.
ORT_LOGGING_LEVEL_ERROR - ai.onnxruntime.OrtLoggingLevel: Print error log messages.
ORT_LOGGING_LEVEL_FATAL - ai.onnxruntime.OrtLoggingLevel: Print only fatal log messages.
ORT_LOGGING_LEVEL_INFO - ai.onnxruntime.OrtLoggingLevel: Print info and higher level log messages.
ORT_LOGGING_LEVEL_VERBOSE - ai.onnxruntime.OrtLoggingLevel: Print all log messages.
ORT_LOGGING_LEVEL_WARNING - ai.onnxruntime.OrtLoggingLevel: Print warning and higher level log messages.
ORT_MODEL_LOADED - ai.onnxruntime.OrtException.OrtErrorCode: The model was loaded.
ORT_NO_MODEL - ai.onnxruntime.OrtException.OrtErrorCode: The operation could not use the model.
ORT_NO_SUCHFILE - ai.onnxruntime.OrtException.OrtErrorCode: The operation could not load the required file.
ORT_NOT_IMPLEMENTED - ai.onnxruntime.OrtException.OrtErrorCode: The requested operation has not been implemented.
ORT_OK - ai.onnxruntime.OrtException.OrtErrorCode: The operation completed without error.
ORT_RUNTIME_EXCEPTION - ai.onnxruntime.OrtException.OrtErrorCode: The operation threw a runtime exception.
OrtCUDAProviderOptions - Class in ai.onnxruntime.providers: Options for configuring the CUDA execution provider.
OrtCUDAProviderOptions() - Constructor for class ai.onnxruntime.providers.OrtCUDAProviderOptions: Constructs CUDA execution provider options for device 0.
OrtCUDAProviderOptions(int) - Constructor for class ai.onnxruntime.providers.OrtCUDAProviderOptions: Constructs CUDA execution provider options for the specified non-negative device id.
OrtEnvironment - Class in ai.onnxruntime: The host object for the ONNX Runtime system.
OrtEnvironment.ThreadingOptions - Class in ai.onnxruntime: Controls the global thread pools in the environment.
OrtException - Exception in ai.onnxruntime: An exception which contains the error message and code produced by the native onnxruntime.
OrtException(int, String) - Constructor for exception ai.onnxruntime.OrtException: Used to throw an exception from native code as it handles the enum lookup in Java.
OrtException(OrtException.OrtErrorCode, String) - Constructor for exception ai.onnxruntime.OrtException: Creates an OrtException using the specified error code and message.
OrtException(String) - Constructor for exception ai.onnxruntime.OrtException: Creates an OrtException with a default Java error code and the specified message.
OrtException.OrtErrorCode - Enum in ai.onnxruntime: Maps the OrtErrorCode struct in onnxruntime_c_api.h with an additional entry for Java side errors.
OrtFlags - Interface in ai.onnxruntime.providers: An interface for bitset enums that should be aggregated into a single integer.
OrtLoggingLevel - Enum in ai.onnxruntime: The logging severity level.
OrtProvider - Enum in ai.onnxruntime: The execution providers available through the Java API.
OrtProviderOptions - Class in ai.onnxruntime: An abstract base class for execution provider options classes.
OrtProviderOptions(long) - Constructor for class ai.onnxruntime.OrtProviderOptions: Constructs a OrtProviderOptions wrapped around a native pointer.
OrtProviderOptions.OrtProviderSupplier - Interface in ai.onnxruntime: Functional interface mirroring a Java supplier, but can throw OrtException.
OrtSession - Class in ai.onnxruntime: Wraps an ONNX model and allows inference calls.
OrtSession.Result - Class in ai.onnxruntime: An AutoCloseable wrapper around a Map containing OnnxValues.
OrtSession.RunOptions - Class in ai.onnxruntime: Used to control logging and termination of a call to OrtSession.run(java.util.Map<java.lang.String, ? extends ai.onnxruntime.OnnxTensorLike>).
OrtSession.SessionOptions - Class in ai.onnxruntime: Represents the options used to construct this session.
OrtSession.SessionOptions.ExecutionMode - Enum in ai.onnxruntime: The execution mode to use.
OrtSession.SessionOptions.OptLevel - Enum in ai.onnxruntime: The optimisation level to use.
OrtTensorRTProviderOptions - Class in ai.onnxruntime.providers: Options for configuring the TensorRT execution provider.
OrtTensorRTProviderOptions() - Constructor for class ai.onnxruntime.providers.OrtTensorRTProviderOptions: Constructs TensorRT execution provider options for device 0.
OrtTensorRTProviderOptions(int) - Constructor for class ai.onnxruntime.providers.OrtTensorRTProviderOptions: Constructs TensorRT execution provider options for the specified non-negative device id.
OrtTrainingSession - Class in ai.onnxruntime: Wraps an ONNX training model and allows training and inference calls.
OrtUtil - Class in ai.onnxruntime: Util code for interacting with Java arrays.
ownsBuffer() - Method in class ai.onnxruntime.OnnxTensor: Returns true if the buffer in this OnnxTensor was created on construction of this tensor, i.e., it is a copy of a user supplied buffer or array and may hold the only reference to that buffer.

P

PARALLEL - ai.onnxruntime.OrtSession.SessionOptions.ExecutionMode: Executes some nodes in parallel.

R

registerCustomOpLibrary(String) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Registers a library of custom ops for use with OrtSessions using this SessionOptions.
registerCustomOpsUsingFunction(String) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Registers custom ops for use with OrtSessions using this SessionOptions by calling the specified native function name.
registerLinearLRScheduler(long, long, float) - Method in class ai.onnxruntime.OrtTrainingSession: Registers a linear learning rate scheduler with linear warmup.
reshape(boolean[], long[]) - Static method in class ai.onnxruntime.OrtUtil: Reshapes a boolean array into the desired n-dimensional array assuming the boolean array is stored in n-dimensional row-major order.
reshape(byte[], long[]) - Static method in class ai.onnxruntime.OrtUtil: Reshapes a byte array into the desired n-dimensional array assuming the byte array is stored in n-dimensional row-major order.
reshape(double[], long[]) - Static method in class ai.onnxruntime.OrtUtil: Reshapes a double array into the desired n-dimensional array assuming the double array is stored in n-dimensional row-major order.
reshape(float[], long[]) - Static method in class ai.onnxruntime.OrtUtil: Reshapes a float array into the desired n-dimensional array assuming the float array is stored in n-dimensional row-major order.
reshape(int[], long[]) - Static method in class ai.onnxruntime.OrtUtil: Reshapes an int array into the desired n-dimensional array, assuming the int array is stored in n-dimensional row-major order.
reshape(long[], long[]) - Static method in class ai.onnxruntime.OrtUtil: Reshapes a long array into the desired n-dimensional array, assuming the long array is stored in n-dimensional row-major order.
reshape(short[], long[]) - Static method in class ai.onnxruntime.OrtUtil: Reshapes a short array into the desired n-dimensional array assuming the short array is stored in n-dimensional row-major order.
reshape(String[], long[]) - Static method in class ai.onnxruntime.OrtUtil: Reshapes a String array into the desired n-dimensional array assuming the String array is stored in n-dimensional row-major order.
RK_NPU - ai.onnxruntime.OrtProvider: The RockChip NPU execution provider.
ROCM - ai.onnxruntime.OrtProvider: The AMD ROCm execution provider.
run(Map<String, ? extends OnnxTensorLike>) - Method in class ai.onnxruntime.OrtSession: Scores an input feed dict, returning the map of all inferred outputs.
run(Map<String, ? extends OnnxTensorLike>, OrtSession.RunOptions) - Method in class ai.onnxruntime.OrtSession: Scores an input feed dict, returning the map of all inferred outputs.
run(Map<String, ? extends OnnxTensorLike>, Map<String, ? extends OnnxValue>) - Method in class ai.onnxruntime.OrtSession: Scores an input feed dict, returning the map of pinned outputs.
run(Map<String, ? extends OnnxTensorLike>, Set<String>) - Method in class ai.onnxruntime.OrtSession: Scores an input feed dict, returning the map of requested inferred outputs.
run(Map<String, ? extends OnnxTensorLike>, Set<String>, OrtSession.RunOptions) - Method in class ai.onnxruntime.OrtSession: Scores an input feed dict, returning the map of requested inferred outputs.
run(Map<String, ? extends OnnxTensorLike>, Set<String>, Map<String, ? extends OnnxValue>) - Method in class ai.onnxruntime.OrtSession: Scores an input feed dict, returning the map of requested and pinned outputs.
run(Map<String, ? extends OnnxTensorLike>, Set<String>, Map<String, ? extends OnnxValue>, OrtSession.RunOptions) - Method in class ai.onnxruntime.OrtSession: Scores an input feed dict, returning the map of requested and pinned outputs.
RunOptions() - Constructor for class ai.onnxruntime.OrtSession.RunOptions: Creates a RunOptions.

S

saveCheckpoint(Path, boolean) - Method in class ai.onnxruntime.OrtTrainingSession: Save out the training session state into the supplied checkpoint directory.
schedulerStep() - Method in class ai.onnxruntime.OrtTrainingSession: Updates the learning rate based on the registered learning rate scheduler.
SequenceInfo - Class in ai.onnxruntime: Describes an OnnxSequence, including it's element type if known.
sequenceOfMaps - Variable in class ai.onnxruntime.SequenceInfo: Is this a sequence of maps.
sequenceType - Variable in class ai.onnxruntime.SequenceInfo: The type of the sequence if it does not contain a map, OnnxJavaType.UNKNOWN if it does.
SEQUENTIAL - ai.onnxruntime.OrtSession.SessionOptions.ExecutionMode: Executes all nodes sequentially.
SessionOptions() - Constructor for class ai.onnxruntime.OrtSession.SessionOptions: Create an empty session options.
setCPUArenaAllocator(boolean) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Sets the CPU to use an arena memory allocator.
setExecutionMode(OrtSession.SessionOptions.ExecutionMode) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Sets the execution mode of this options object, overriding the old setting.
setGlobalDenormalAsZero() - Method in class ai.onnxruntime.OrtEnvironment.ThreadingOptions: When this is set it causes intra-op and inter-op thread pools to flush denormal values to zero.
setGlobalInterOpNumThreads(int) - Method in class ai.onnxruntime.OrtEnvironment.ThreadingOptions: Sets the number of threads available for inter-op parallelism (i.e.
setGlobalIntraOpNumThreads(int) - Method in class ai.onnxruntime.OrtEnvironment.ThreadingOptions: Sets the number of threads available for intra-op parallelism (i.e.
setGlobalSpinControl(boolean) - Method in class ai.onnxruntime.OrtEnvironment.ThreadingOptions: Allows spinning of thread pools when their queues are empty.
setInterOpNumThreads(int) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Sets the size of the CPU thread pool used for executing multiple request concurrently, if executing on a CPU.
setIntraOpNumThreads(int) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Sets the size of the CPU thread pool used for executing a single graph, if executing on a CPU.
setLearningRate(float) - Method in class ai.onnxruntime.OrtTrainingSession: Sets the learning rate for the training session.
setLoggerId(String) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Sets the logger id to use.
setLogLevel(OrtLoggingLevel) - Method in class ai.onnxruntime.OrtSession.RunOptions: Sets the current logging level on this RunOptions.
setLogVerbosityLevel(int) - Method in class ai.onnxruntime.OrtSession.RunOptions: Sets the current logging verbosity level on this RunOptions.
setMemoryPatternOptimization(boolean) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Turns on memory pattern optimizations, where memory is preallocated if all shapes are known.
setOptimizationLevel(OrtSession.SessionOptions.OptLevel) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Sets the optimization level of this options object, overriding the old setting.
setOptimizedModelFilePath(String) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Sets the output path for the optimized model.
setRunTag(String) - Method in class ai.onnxruntime.OrtSession.RunOptions: Sets the run tag used in logging.
setSeed(long) - Static method in class ai.onnxruntime.OrtTrainingSession: Sets the RNG seed used by ONNX Runtime.
setSessionLogLevel(OrtLoggingLevel) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Sets the Session's logging level.
setSessionLogVerbosityLevel(int) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Sets the Session's logging verbosity level.
setSymbolicDimensionValue(String, long) - Method in class ai.onnxruntime.OrtSession.SessionOptions: Sets the value of a symbolic dimension.
setTelemetry(boolean) - Method in class ai.onnxruntime.OrtEnvironment: Turns on or off the telemetry.
setTerminate(boolean) - Method in class ai.onnxruntime.OrtSession.RunOptions: Sets a flag so that all incomplete OrtSession.run(java.util.Map<java.lang.String, ? extends ai.onnxruntime.OnnxTensorLike>) calls using this instance of RunOptions will terminate as soon as possible.
size - Variable in class ai.onnxruntime.MapInfo: The number of entries in this map.
size - Variable in enum ai.onnxruntime.OnnxJavaType: The number of bytes used by a single value of this type.
size() - Method in class ai.onnxruntime.OnnxMap: The number of entries in the map.
size() - Method in class ai.onnxruntime.OrtSession.Result: Returns the number of outputs in this Result.
STRING - ai.onnxruntime.OnnxJavaType: A UTF-8 string.
STRING - ai.onnxruntime.OnnxMap.OnnxMapValueType: A String value.

T

TENSOR_RT - ai.onnxruntime.OrtProvider: The TensorRT execution provider for Nvidia GPUs.
TensorInfo - Class in ai.onnxruntime: Describes an OnnxTensor, including it's size, shape and element type.
TensorInfo.OnnxTensorType - Enum in ai.onnxruntime: The native element types supported by the ONNX runtime.
ThreadingOptions() - Constructor for class ai.onnxruntime.OrtEnvironment.ThreadingOptions: Create an empty threading options.
toString() - Method in class ai.onnxruntime.MapInfo
toString() - Method in class ai.onnxruntime.NodeInfo
toString() - Method in class ai.onnxruntime.OnnxMap
toString() - Method in class ai.onnxruntime.OnnxModelMetadata
toString() - Method in class ai.onnxruntime.OnnxSequence
toString() - Method in class ai.onnxruntime.OnnxTensor
toString() - Method in class ai.onnxruntime.OrtEnvironment
toString() - Method in class ai.onnxruntime.OrtSession
toString() - Method in class ai.onnxruntime.SequenceInfo
toString() - Method in class ai.onnxruntime.TensorInfo
trainStep(Map<String, ? extends OnnxTensorLike>) - Method in class ai.onnxruntime.OrtTrainingSession: Performs a single step of training, accumulating the gradients.
trainStep(Map<String, ? extends OnnxTensorLike>, OrtSession.RunOptions) - Method in class ai.onnxruntime.OrtTrainingSession: Performs a single step of training, accumulating the gradients.
trainStep(Map<String, ? extends OnnxTensorLike>, Map<String, ? extends OnnxValue>) - Method in class ai.onnxruntime.OrtTrainingSession: Performs a single step of training, accumulating the gradients.
trainStep(Map<String, ? extends OnnxTensorLike>, Set<String>) - Method in class ai.onnxruntime.OrtTrainingSession: Performs a single step of training, accumulating the gradients.
trainStep(Map<String, ? extends OnnxTensorLike>, Set<String>, Map<String, ? extends OnnxValue>, OrtSession.RunOptions) - Method in class ai.onnxruntime.OrtTrainingSession: Performs a single step of training, accumulating the gradients.
transformShape(int[]) - Static method in class ai.onnxruntime.OrtUtil: Converts an int shape into a long shape.
transformShape(long[]) - Static method in class ai.onnxruntime.OrtUtil: Converts an long shape into a int shape.
type - Variable in class ai.onnxruntime.TensorInfo: The Java type of this tensor.

U

UINT8 - ai.onnxruntime.OnnxJavaType: A 8-bit unsigned integer value.
UNDEFINED - ai.onnxruntime.OnnxSparseTensor.SparseTensorType: Undefined sparse tensor.
UNKNOWN - ai.onnxruntime.OnnxJavaType: An unknown type used as an error condition or a sentinel.
USE_FP16 - ai.onnxruntime.providers.NNAPIFlags: Enables fp16 support.
USE_NCHW - ai.onnxruntime.providers.NNAPIFlags: Uses channels first format.

V

validateShape(long[]) - Static method in class ai.onnxruntime.OrtUtil: Checks that the shape is a valid shape for a Java array (i.e.
value - Variable in enum ai.onnxruntime.OnnxJavaType: The native value of the enum.
value - Variable in enum ai.onnxruntime.OnnxSparseTensor.SparseTensorType: The int value mirroring OrtSparseFormat.
value - Variable in enum ai.onnxruntime.OnnxValue.OnnxValueType: The id number of this type in the C API.
value - Variable in enum ai.onnxruntime.providers.CoreMLFlags: The native value of the enum.
value - Variable in enum ai.onnxruntime.providers.NNAPIFlags: The native value of the enum.
value - Variable in enum ai.onnxruntime.TensorInfo.OnnxTensorType: The int id on the native side.
ValueInfo - Interface in ai.onnxruntime: Interface for info objects describing an OnnxValue.
valueOf(String) - Static method in enum ai.onnxruntime.OnnxJavaType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.onnxruntime.OnnxMap.OnnxMapValueType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.onnxruntime.OnnxSparseTensor.SparseTensorType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.onnxruntime.OnnxValue.OnnxValueType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.onnxruntime.OrtException.OrtErrorCode: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.onnxruntime.OrtLoggingLevel: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.onnxruntime.OrtProvider: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.onnxruntime.OrtSession.SessionOptions.ExecutionMode: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.onnxruntime.OrtSession.SessionOptions.OptLevel: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.onnxruntime.providers.CoreMLFlags: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.onnxruntime.providers.NNAPIFlags: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.onnxruntime.TensorInfo.OnnxTensorType: Returns the enum constant of this type with the specified name.
values() - Static method in enum ai.onnxruntime.OnnxJavaType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.onnxruntime.OnnxMap.OnnxMapValueType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.onnxruntime.OnnxSparseTensor.SparseTensorType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.onnxruntime.OnnxValue.OnnxValueType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.onnxruntime.OrtException.OrtErrorCode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.onnxruntime.OrtLoggingLevel: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.onnxruntime.OrtProvider: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.onnxruntime.OrtSession.SessionOptions.ExecutionMode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.onnxruntime.OrtSession.SessionOptions.OptLevel: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.onnxruntime.providers.CoreMLFlags: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.onnxruntime.providers.NNAPIFlags: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.onnxruntime.TensorInfo.OnnxTensorType: Returns an array containing the constants of this enum type, in the order they are declared.
valueType - Variable in class ai.onnxruntime.MapInfo: The Java type of the values.
VITIS_AI - ai.onnxruntime.OrtProvider: The AMD/Xilinx VitisAI execution provider.

X

XNNPACK - ai.onnxruntime.OrtProvider: The XNNPACK execution provider.

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