Uses of Class
org.bytedeco.javacpp.tensorflow.DeviceType

Packages that use tensorflow.DeviceType

Package	Description
org.bytedeco.javacpp

Uses of tensorflow.DeviceType in org.bytedeco.javacpp

Methods in org.bytedeco.javacpp that return tensorflow.DeviceType

Modifier and Type	Method and Description
tensorflow.DeviceType	tensorflow.OpKernelConstruction.device_type()
tensorflow.DeviceType	tensorflow.DeviceTypeVector.get(long i)

Methods in org.bytedeco.javacpp with parameters of type tensorflow.DeviceType

Modifier and Type	Method and Description
static tensorflow.DeviceAttributes	tensorflow.Device.BuildDeviceAttributes(BytePointer name, tensorflow.DeviceType device, long memory_limit, tensorflow.DeviceLocality locality)
static tensorflow.DeviceAttributes	tensorflow.Device.BuildDeviceAttributes(BytePointer name, tensorflow.DeviceType device, long memory_limit, tensorflow.DeviceLocality locality, BytePointer physical_device_desc)
static tensorflow.DeviceAttributes	tensorflow.Device.BuildDeviceAttributes(String name, tensorflow.DeviceType device, long memory_limit, tensorflow.DeviceLocality locality)
static tensorflow.DeviceAttributes	tensorflow.Device.BuildDeviceAttributes(String name, tensorflow.DeviceType device, long memory_limit, tensorflow.DeviceLocality locality, String physical_device_desc)
static tensorflow.Status	tensorflow.CreateOpKernel(tensorflow.DeviceType device_type, tensorflow.DeviceBase device, tensorflow.Allocator allocator, tensorflow.FunctionLibraryRuntime flib, tensorflow.NodeDef def, int graph_def_version, PointerPointer kernel)
static tensorflow.Status	tensorflow.CreateOpKernel(tensorflow.DeviceType device_type, tensorflow.DeviceBase device, tensorflow.Allocator allocator, tensorflow.FunctionLibraryRuntime flib, tensorflow.NodeDef def, int graph_def_version, tensorflow.OpKernel kernel)
static tensorflow.OpKernel	tensorflow.CreateOpKernel(tensorflow.DeviceType device_type, tensorflow.DeviceBase device, tensorflow.Allocator allocator, tensorflow.NodeDef def, int graph_def_version, tensorflow.Status status)
static BytePointer	tensorflow.DeviceTypeString(tensorflow.DeviceType device_type)
boolean	tensorflow.DeviceType.equals(tensorflow.DeviceType other)
static tensorflow.Status	tensorflow.FindKernelDef(tensorflow.DeviceType device_type, tensorflow.NodeDef node_def, PointerPointer def, BytePointer kernel_class_name)
static tensorflow.Status	tensorflow.FindKernelDef(tensorflow.DeviceType device_type, tensorflow.NodeDef node_def, tensorflow.KernelDef def, BytePointer kernel_class_name)
boolean	tensorflow.DeviceType.lessThan(tensorflow.DeviceType other)
boolean	tensorflow.DeviceType.notEquals(tensorflow.DeviceType other)
tensorflow.DeviceTypeVector	tensorflow.DeviceTypeVector.put(long i, tensorflow.DeviceType value)
static Pointer	tensorflow.shiftLeft(Pointer os, tensorflow.DeviceType d)
static tensorflow.Status	tensorflow.SupportedDeviceTypesForNode(tensorflow.DeviceType prioritized_types, tensorflow.NodeDef def, tensorflow.DeviceTypeVector device_types)

Constructors in org.bytedeco.javacpp with parameters of type tensorflow.DeviceType

Constructor and Description

OpKernelConstruction(tensorflow.DeviceType device_type, tensorflow.DeviceBase device, tensorflow.Allocator allocator, tensorflow.NodeDef node_def, tensorflow.OpDef op_def, tensorflow.FunctionLibraryRuntime flib, tensorflow.DataTypeVector input_types, tensorflow.StringAttrPairVector input_memory_types, tensorflow.DataTypeVector output_types, tensorflow.StringAttrPairVector output_memory_types, int graph_def_version, tensorflow.Status status)