Index (onnxruntime 1.14.0 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
ARM_NN - ai.onnxruntime.OrtProvider

B

BASIC_OPT - ai.onnxruntime.OrtSession.SessionOptions.OptLevel
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.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.
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.
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.
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().
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.
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.OnnxTensor
getInfo() - Method in interface ai.onnxruntime.OnnxValue: Gets the type info object associated with this OnnxValue.
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.
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.
getType() - Method in class ai.onnxruntime.OnnxMap
getType() - Method in class ai.onnxruntime.OnnxSequence
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.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.
getVersion() - Method in class ai.onnxruntime.OnnxModelMetadata: Gets the model version.

H

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

I

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.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.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_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 OnnxValues all of the same type.
OnnxTensor - Class in ai.onnxruntime: A Java object wrapping an OnnxTensor.
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 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, ai.onnxruntime.OnnxTensor>).
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 OrtSessions using this SessionOptions.
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, OnnxTensor>) - Method in class ai.onnxruntime.OrtSession: Scores an input feed dict, returning the map of all inferred outputs.
run(Map<String, OnnxTensor>, OrtSession.RunOptions) - Method in class ai.onnxruntime.OrtSession: Scores an input feed dict, returning the map of all inferred outputs.
run(Map<String, OnnxTensor>, Set<String>) - Method in class ai.onnxruntime.OrtSession: Scores an input feed dict, returning the map of requested inferred outputs.
run(Map<String, OnnxTensor>, 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, ai.onnxruntime.OnnxTensor>) 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
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.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.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.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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