# Index (onnxruntime 1.15.0 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
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.
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.
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.
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.providers - package ai.onnxruntime.providers
ALL_OPT - ai.onnxruntime.OrtSession.SessionOptions.OptLevel
allocatorHandle - Variable in class ai.onnxruntime.OnnxTensorLike
ARM_NN - ai.onnxruntime.OrtProvider

## B

BASIC_OPT - ai.onnxruntime.OrtSession.SessionOptions.OptLevel
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

## C

clazz - Variable in enum ai.onnxruntime.OnnxJavaType
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 it's underlying memory (if it's not backed by an NIO buffer).
close() - Method in interface ai.onnxruntime.OnnxValue
  Closes the OnnxValue, freeing it's 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(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.
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`.
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
CoreMLFlags - Enum in ai.onnxruntime.providers
  Flags for the CoreML provider.
CPU - ai.onnxruntime.OrtProvider
CPU_DISABLED - ai.onnxruntime.providers.NNAPIFlags
CPU_ONLY - ai.onnxruntime.providers.CoreMLFlags
CPU_ONLY - ai.onnxruntime.providers.NNAPIFlags
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.
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

## D

DEFAULT_NAME - Static variable in class ai.onnxruntime.OrtEnvironment
DIRECT_ML - ai.onnxruntime.OrtProvider
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
DOUBLE - ai.onnxruntime.OnnxJavaType
DOUBLE - ai.onnxruntime.OnnxMap.OnnxMapValueType

## 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
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
EXTENDED_OPT - ai.onnxruntime.OrtSession.SessionOptions.OptLevel

## 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
FLOAT - ai.onnxruntime.OnnxMap.OnnxMapValueType

## 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.
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.
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.
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.
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.
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.
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 or uint16, 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.
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 `OnnxValue`s 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.

## H

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

## I

info - Variable in class ai.onnxruntime.OnnxTensorLike
INT16 - ai.onnxruntime.OnnxJavaType
INT32 - ai.onnxruntime.OnnxJavaType
INT64 - ai.onnxruntime.OnnxJavaType
INT8 - ai.onnxruntime.OnnxJavaType
INVALID - ai.onnxruntime.OnnxMap.OnnxMapValueType
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?
iterator() - Method in class ai.onnxruntime.OrtSession.Result

## K

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

## L

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

## 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

## N

nativeHandle - Variable in class ai.onnxruntime.OnnxTensorLike
nativeHandle - Variable in class ai.onnxruntime.OrtProviderOptions
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
NNAPIFlags - Enum in ai.onnxruntime.providers
  Flags for the NNAPI provider.
NO_OPT - ai.onnxruntime.OrtSession.SessionOptions.OptLevel
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
ONNX_TENSOR_ELEMENT_DATA_TYPE_BFLOAT16 - ai.onnxruntime.TensorInfo.OnnxTensorType
ONNX_TENSOR_ELEMENT_DATA_TYPE_BOOL - ai.onnxruntime.TensorInfo.OnnxTensorType
ONNX_TENSOR_ELEMENT_DATA_TYPE_COMPLEX128 - ai.onnxruntime.TensorInfo.OnnxTensorType
ONNX_TENSOR_ELEMENT_DATA_TYPE_COMPLEX64 - ai.onnxruntime.TensorInfo.OnnxTensorType
ONNX_TENSOR_ELEMENT_DATA_TYPE_DOUBLE - ai.onnxruntime.TensorInfo.OnnxTensorType
ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT - ai.onnxruntime.TensorInfo.OnnxTensorType
ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16 - ai.onnxruntime.TensorInfo.OnnxTensorType
ONNX_TENSOR_ELEMENT_DATA_TYPE_INT16 - ai.onnxruntime.TensorInfo.OnnxTensorType
ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32 - ai.onnxruntime.TensorInfo.OnnxTensorType
ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64 - ai.onnxruntime.TensorInfo.OnnxTensorType
ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8 - ai.onnxruntime.TensorInfo.OnnxTensorType
ONNX_TENSOR_ELEMENT_DATA_TYPE_STRING - ai.onnxruntime.TensorInfo.OnnxTensorType
ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT16 - ai.onnxruntime.TensorInfo.OnnxTensorType
ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT32 - ai.onnxruntime.TensorInfo.OnnxTensorType
ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT64 - ai.onnxruntime.TensorInfo.OnnxTensorType
ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8 - ai.onnxruntime.TensorInfo.OnnxTensorType
ONNX_TENSOR_ELEMENT_DATA_TYPE_UNDEFINED - ai.onnxruntime.TensorInfo.OnnxTensorType
ONNX_TYPE_MAP - ai.onnxruntime.OnnxValue.OnnxValueType
ONNX_TYPE_OPAQUE - ai.onnxruntime.OnnxValue.OnnxValueType
ONNX_TYPE_OPTIONAL - ai.onnxruntime.OnnxValue.OnnxValueType
ONNX_TYPE_SEQUENCE - ai.onnxruntime.OnnxValue.OnnxValueType
ONNX_TYPE_SPARSETENSOR - ai.onnxruntime.OnnxValue.OnnxValueType
ONNX_TYPE_TENSOR - ai.onnxruntime.OnnxValue.OnnxValueType
ONNX_TYPE_UNKNOWN - ai.onnxruntime.OnnxValue.OnnxValueType
OnnxJavaType - Enum in ai.onnxruntime
  An enum representing onnxruntime 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 `OnnxValue`s 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
ORT_ENGINE_ERROR - ai.onnxruntime.OrtException.OrtErrorCode
ORT_EP_FAIL - ai.onnxruntime.OrtException.OrtErrorCode
ORT_FAIL - ai.onnxruntime.OrtException.OrtErrorCode
ORT_INVALID_ARGUMENT - ai.onnxruntime.OrtException.OrtErrorCode
ORT_INVALID_GRAPH - ai.onnxruntime.OrtException.OrtErrorCode
ORT_INVALID_PROTOBUF - ai.onnxruntime.OrtException.OrtErrorCode
ORT_JAVA_UNKNOWN - ai.onnxruntime.OrtException.OrtErrorCode
ORT_LOGGING_LEVEL_ERROR - ai.onnxruntime.OrtLoggingLevel
ORT_LOGGING_LEVEL_FATAL - ai.onnxruntime.OrtLoggingLevel
ORT_LOGGING_LEVEL_INFO - ai.onnxruntime.OrtLoggingLevel
ORT_LOGGING_LEVEL_VERBOSE - ai.onnxruntime.OrtLoggingLevel
ORT_LOGGING_LEVEL_WARNING - ai.onnxruntime.OrtLoggingLevel
ORT_MODEL_LOADED - ai.onnxruntime.OrtException.OrtErrorCode
ORT_NO_MODEL - ai.onnxruntime.OrtException.OrtErrorCode
ORT_NO_SUCHFILE - ai.onnxruntime.OrtException.OrtErrorCode
ORT_NOT_IMPLEMENTED - ai.onnxruntime.OrtException.OrtErrorCode
ORT_OK - ai.onnxruntime.OrtException.OrtErrorCode
ORT_RUNTIME_EXCEPTION - ai.onnxruntime.OrtException.OrtErrorCode
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 level for messages from the environment and session.
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 `OnnxValue`s.
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.
OrtUtil - Class in ai.onnxruntime
  Util code for interacting with Java arrays.

## P

PARALLEL - ai.onnxruntime.OrtSession.SessionOptions.ExecutionMode

## R

registerCustomOpLibrary(String) - Method in class ai.onnxruntime.OrtSession.SessionOptions
  Registers a library of custom ops for use with `OrtSession`s using this SessionOptions.
registerCustomOpsUsingFunction(String) - Method in class ai.onnxruntime.OrtSession.SessionOptions
  Registers custom ops for use with `OrtSession`s using this SessionOptions by calling the specified native function name.
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
ROCM - ai.onnxruntime.OrtProvider
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>, 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.
RunOptions() - Constructor for class ai.onnxruntime.OrtSession.RunOptions
  Creates a RunOptions.

## S

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
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.
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.
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
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
STRING - ai.onnxruntime.OnnxMap.OnnxMapValueType

## T

TENSOR_RT - ai.onnxruntime.OrtProvider
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
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
UNDEFINED - ai.onnxruntime.OnnxSparseTensor.SparseTensorType
  Undefined sparse tensor.
UNKNOWN - ai.onnxruntime.OnnxJavaType
USE_FP16 - ai.onnxruntime.providers.NNAPIFlags
USE_NCHW - ai.onnxruntime.providers.NNAPIFlags

## 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
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
value - Variable in enum ai.onnxruntime.providers.NNAPIFlags
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

## X

XNNPACK - ai.onnxruntime.OrtProvider

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