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

Packages that use tensorflow.TensorVector

Package	Description
org.bytedeco.javacpp

Uses of tensorflow.TensorVector in org.bytedeco.javacpp

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

Modifier and Type	Method and Description
tensorflow.TensorVector	tensorflow.TensorVector.push_back(tensorflow.Tensor value)
tensorflow.TensorVector	tensorflow.TensorVector.put(long i, tensorflow.Tensor value)
tensorflow.TensorVector	tensorflow.TensorVector.put(tensorflow.Tensor... array)
tensorflow.TensorVector	tensorflow.TensorVector.put(tensorflow.Tensor value)
tensorflow.TensorVector	tensorflow.TensorVector.put(tensorflow.TensorVector x)

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

Modifier and Type	Method and Description
static void	tensorflow.AddNodeAttr(BytePointer name, tensorflow.TensorVector value, tensorflow.NodeDef node_def)
static void	tensorflow.AddNodeAttr(String name, tensorflow.TensorVector value, tensorflow.NodeDef node_def)
tensorflow.NodeDefBuilder	tensorflow.NodeDefBuilder.Attr(BytePointer name, tensorflow.TensorVector value)
tensorflow.NodeDefBuilder	tensorflow.NodeDefBuilder.Attr(String name, tensorflow.TensorVector value)
static tensorflow.Status	tensorflow.Concat(tensorflow.TensorVector tensors, tensorflow.Tensor result)
tensorflow.Status	tensorflow.FunctionCallFrame.ConsumeRetvals(tensorflow.TensorVector rets, boolean allow_dead_tensors)
static tensorflow.Status	tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs, BytePointer attr_name, tensorflow.TensorVector value)
static tensorflow.Status	tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs, String attr_name, tensorflow.TensorVector value)
tensorflow.Status	tensorflow.FunctionCallFrame.GetRetvals(tensorflow.TensorVector rets)
tensorflow.Status	tensorflow.Session.PRun(BytePointer handle, tensorflow.StringTensorPairVector inputs, tensorflow.StringVector output_names, tensorflow.TensorVector outputs) \brief Continues the pending execution specified by handle with the provided input tensors and fills outputs for the endpoints specified in output_names.
tensorflow.Status	tensorflow.Session.PRun(String handle, tensorflow.StringTensorPairVector inputs, tensorflow.StringVector output_names, tensorflow.TensorVector outputs)
tensorflow.TensorVector	tensorflow.TensorVector.put(tensorflow.TensorVector x)
static void	tensorflow.ProcessFunctionLibraryRuntime.ReceiveTensorsAsync(BytePointer source_device, BytePointer target_device, BytePointer key_prefix, long src_incarnation, long num_tensors, tensorflow.DeviceContext device_context, tensorflow.AllocatorAttributes alloc_attrs, tensorflow.Rendezvous rendezvous, tensorflow.TensorVector received_tensors, Pointer done)
static void	tensorflow.ProcessFunctionLibraryRuntime.ReceiveTensorsAsync(String source_device, String target_device, String key_prefix, long src_incarnation, long num_tensors, tensorflow.DeviceContext device_context, tensorflow.AllocatorAttributes alloc_attrs, tensorflow.Rendezvous rendezvous, tensorflow.TensorVector received_tensors, Pointer done)
void	tensorflow.FunctionLibraryRuntime.Run(tensorflow.FunctionLibraryRuntime.Options opts, long handle, tensorflow.TensorVector args, tensorflow.TensorVector rets, Pointer done)
void	tensorflow.DistributedFunctionLibraryRuntime.Run(tensorflow.FunctionLibraryRuntime.Options opts, long handle, tensorflow.TensorVector args, tensorflow.TensorVector rets, Pointer done)
void	tensorflow.ProcessFunctionLibraryRuntime.Run(tensorflow.FunctionLibraryRuntime.Options opts, long handle, tensorflow.TensorVector args, tensorflow.TensorVector rets, Pointer done)
tensorflow.Status	tensorflow.GraphRunner.Run(tensorflow.Graph graph, tensorflow.FunctionLibraryRuntime function_library, tensorflow.StringTensorPairVector inputs, tensorflow.StringVector output_names, tensorflow.TensorVector outputs)
tensorflow.Status	tensorflow.Session.Run(tensorflow.RunOptions run_options, tensorflow.StringTensorPairVector inputs, tensorflow.StringVector output_tensor_names, tensorflow.StringVector target_node_names, tensorflow.TensorVector outputs, tensorflow.RunMetadata run_metadata) \brief Like Run, but allows users to pass in a RunOptions proto and to retrieve non-Tensor metadata output via a RunMetadata proto for this step.
tensorflow.Status	tensorflow.Session.Run(tensorflow.StringTensorPairVector inputs, tensorflow.StringVector output_tensor_names, tensorflow.StringVector target_node_names, tensorflow.TensorVector outputs) \brief Runs the graph with the provided input tensors and fills outputs for the endpoints specified in output_tensor_names.
tensorflow.Status	tensorflow.Session.RunCallable(long handle, tensorflow.TensorVector feed_tensors, tensorflow.TensorVector fetch_tensors, tensorflow.RunMetadata run_metadata) \brief Invokes the subgraph named by handle with the given options and input tensors.
static tensorflow.Status	tensorflow.ProcessFunctionLibraryRuntime.SendTensors(BytePointer source_device, BytePointer target_device, BytePointer key_prefix, long src_incarnation, tensorflow.TensorVector tensors_to_send, tensorflow.DeviceContext device_context, tensorflow.AllocatorAttributes alloc_attrs, tensorflow.Rendezvous rendezvous)
static tensorflow.Status	tensorflow.ProcessFunctionLibraryRuntime.SendTensors(String source_device, String target_device, String key_prefix, long src_incarnation, tensorflow.TensorVector tensors_to_send, tensorflow.DeviceContext device_context, tensorflow.AllocatorAttributes alloc_attrs, tensorflow.Rendezvous rendezvous)
tensorflow.Status	tensorflow.FunctionCallFrame.SetArgs(tensorflow.TensorVector args)
static tensorflow.Status	tensorflow.Split(tensorflow.Tensor tensor, long[] sizes, tensorflow.TensorVector result)
static tensorflow.Status	tensorflow.Split(tensorflow.Tensor tensor, LongBuffer sizes, tensorflow.TensorVector result)
static tensorflow.Status	tensorflow.Split(tensorflow.Tensor tensor, LongPointer sizes, tensorflow.TensorVector result)
tensorflow.GraphDefBuilder.Options	tensorflow.GraphDefBuilder.Options.WithAttr(BytePointer attr_name, tensorflow.TensorVector value)
tensorflow.GraphDefBuilder.Options	tensorflow.GraphDefBuilder.Options.WithAttr(String attr_name, tensorflow.TensorVector value)