Package | Description |
---|---|
org.bytedeco.tensorflow | |
org.bytedeco.tensorflow.global |
Modifier and Type | Method and Description |
---|---|
TensorVector |
TensorVector.push_back(Tensor value) |
TensorVector |
TensorVector.push_back(Tensor value) |
TensorVector |
TensorVector.put(long i,
Tensor value) |
TensorVector |
TensorVector.put(long i,
Tensor value) |
TensorVector |
TensorVector.put(Tensor... array) |
TensorVector |
TensorVector.put(Tensor... array) |
TensorVector |
TensorVector.put(Tensor value) |
TensorVector |
TensorVector.put(Tensor value) |
TensorVector |
TensorVector.put(TensorVector x) |
TensorVector |
TensorVector.put(TensorVector x) |
Modifier and Type | Method and Description |
---|---|
NodeDefBuilder |
NodeDefBuilder.Attr(BytePointer name,
TensorVector value) |
NodeDefBuilder |
NodeDefBuilder.Attr(BytePointer name,
TensorVector value) |
NodeDefBuilder |
NodeDefBuilder.Attr(String name,
TensorVector value) |
NodeDefBuilder |
NodeDefBuilder.Attr(String name,
TensorVector value) |
Status |
FunctionCallFrame.ConsumeRetvals(TensorVector rets,
boolean allow_dead_tensors) |
Status |
FunctionCallFrame.ConsumeRetvals(TensorVector rets,
boolean allow_dead_tensors) |
Status |
FunctionCallFrame.GetRetvals(TensorVector rets) |
Status |
FunctionCallFrame.GetRetvals(TensorVector rets) |
Status |
Session.PRun(BytePointer handle,
StringTensorPairVector inputs,
StringVector output_names,
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 . |
Status |
Session.PRun(BytePointer handle,
StringTensorPairVector inputs,
StringVector output_names,
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 . |
Status |
Session.PRun(String handle,
StringTensorPairVector inputs,
StringVector output_names,
TensorVector outputs) |
Status |
Session.PRun(String handle,
StringTensorPairVector inputs,
StringVector output_names,
TensorVector outputs) |
TensorVector |
TensorVector.put(TensorVector x) |
TensorVector |
TensorVector.put(TensorVector x) |
static void |
ProcessFunctionLibraryRuntime.ReceiveTensorsAsync(BytePointer source_device,
BytePointer target_device,
BytePointer key_prefix,
long src_incarnation,
long num_tensors,
DeviceContext device_context,
AllocatorAttributes alloc_attrs,
Rendezvous rendezvous,
TensorVector received_tensors,
Pointer done) |
static void |
ProcessFunctionLibraryRuntime.ReceiveTensorsAsync(BytePointer source_device,
BytePointer target_device,
BytePointer key_prefix,
long src_incarnation,
long num_tensors,
DeviceContext device_context,
AllocatorAttributes alloc_attrs,
Rendezvous rendezvous,
TensorVector received_tensors,
Pointer done) |
static void |
ProcessFunctionLibraryRuntime.ReceiveTensorsAsync(String source_device,
String target_device,
String key_prefix,
long src_incarnation,
long num_tensors,
DeviceContext device_context,
AllocatorAttributes alloc_attrs,
Rendezvous rendezvous,
TensorVector received_tensors,
Pointer done) |
static void |
ProcessFunctionLibraryRuntime.ReceiveTensorsAsync(String source_device,
String target_device,
String key_prefix,
long src_incarnation,
long num_tensors,
DeviceContext device_context,
AllocatorAttributes alloc_attrs,
Rendezvous rendezvous,
TensorVector received_tensors,
Pointer done) |
void |
DistributedFunctionLibraryRuntime.Run(FunctionLibraryRuntime.Options opts,
long handle,
TensorVector args,
TensorVector rets,
Pointer done) |
void |
FunctionLibraryRuntime.Run(FunctionLibraryRuntime.Options opts,
long handle,
TensorVector args,
TensorVector rets,
Pointer done) |
void |
ProcessFunctionLibraryRuntime.Run(FunctionLibraryRuntime.Options opts,
long handle,
TensorVector args,
TensorVector rets,
Pointer done) |
void |
ProcessFunctionLibraryRuntime.Run(FunctionLibraryRuntime.Options opts,
long handle,
TensorVector args,
TensorVector rets,
Pointer done) |
void |
FunctionLibraryRuntime.Run(FunctionLibraryRuntime.Options opts,
long handle,
TensorVector args,
TensorVector rets,
Pointer done) |
void |
DistributedFunctionLibraryRuntime.Run(FunctionLibraryRuntime.Options opts,
long handle,
TensorVector args,
TensorVector rets,
Pointer done) |
Status |
GraphRunner.Run(Graph graph,
FunctionLibraryRuntime function_library,
StringTensorPairVector inputs,
StringVector output_names,
TensorVector outputs) |
Status |
GraphRunner.Run(Graph graph,
FunctionLibraryRuntime function_library,
StringTensorPairVector inputs,
StringVector output_names,
TensorVector outputs) |
Status |
Session.Run(RunOptions run_options,
StringTensorPairVector inputs,
StringVector output_tensor_names,
StringVector target_node_names,
TensorVector outputs,
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. |
Status |
Session.Run(RunOptions run_options,
StringTensorPairVector inputs,
StringVector output_tensor_names,
StringVector target_node_names,
TensorVector outputs,
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. |
Status |
KernelAndDevice.Run(ScopedStepContainer step_container,
TensorValueVector inputs,
TensorVector outputs,
NodeExecStats stats,
StepStats step_stats,
GraphCollector graph_collector,
CancellationManager cancellation_manager) |
Status |
KernelAndDeviceFunc.Run(ScopedStepContainer step_container,
TensorValueVector inputs,
TensorVector outputs,
NodeExecStats stats,
StepStats step_stats,
GraphCollector graph_collector,
CancellationManager cancellation_manager) |
Status |
KernelAndDeviceOp.Run(ScopedStepContainer step_container,
TensorValueVector inputs,
TensorVector outputs,
NodeExecStats stats,
StepStats step_stats,
GraphCollector graph_collector,
CancellationManager cancellation_manager) |
Status |
KernelAndDeviceOp.Run(ScopedStepContainer step_container,
TensorValueVector inputs,
TensorVector outputs,
NodeExecStats stats,
StepStats step_stats,
GraphCollector graph_collector,
CancellationManager cancellation_manager) |
Status |
KernelAndDeviceFunc.Run(ScopedStepContainer step_container,
TensorValueVector inputs,
TensorVector outputs,
NodeExecStats stats,
StepStats step_stats,
GraphCollector graph_collector,
CancellationManager cancellation_manager) |
Status |
KernelAndDevice.Run(ScopedStepContainer step_container,
TensorValueVector inputs,
TensorVector outputs,
NodeExecStats stats,
StepStats step_stats,
GraphCollector graph_collector,
CancellationManager cancellation_manager) |
Status |
Session.Run(StringTensorPairVector inputs,
StringVector output_tensor_names,
StringVector target_node_names,
TensorVector outputs)
\brief Runs the graph with the provided input tensors and fills
outputs for the endpoints specified in output_tensor_names . |
Status |
Session.Run(StringTensorPairVector inputs,
StringVector output_tensor_names,
StringVector target_node_names,
TensorVector outputs)
\brief Runs the graph with the provided input tensors and fills
outputs for the endpoints specified in output_tensor_names . |
Status |
KernelAndDevice.Run(TensorValueVector inputs,
TensorVector outputs,
NodeExecStats stats,
StepStats step_stats,
GraphCollector graph_collector,
CancellationManager cancellation_manager) |
Status |
KernelAndDeviceFunc.Run(TensorValueVector inputs,
TensorVector outputs,
NodeExecStats stats,
StepStats step_stats,
GraphCollector graph_collector,
CancellationManager cancellation_manager) |
Status |
KernelAndDeviceOp.Run(TensorValueVector inputs,
TensorVector outputs,
NodeExecStats stats,
StepStats step_stats,
GraphCollector graph_collector,
CancellationManager cancellation_manager) |
Status |
KernelAndDeviceOp.Run(TensorValueVector inputs,
TensorVector outputs,
NodeExecStats stats,
StepStats step_stats,
GraphCollector graph_collector,
CancellationManager cancellation_manager) |
Status |
KernelAndDeviceFunc.Run(TensorValueVector inputs,
TensorVector outputs,
NodeExecStats stats,
StepStats step_stats,
GraphCollector graph_collector,
CancellationManager cancellation_manager) |
Status |
KernelAndDevice.Run(TensorValueVector inputs,
TensorVector outputs,
NodeExecStats stats,
StepStats step_stats,
GraphCollector graph_collector,
CancellationManager cancellation_manager) |
Status |
Session.RunCallable(long handle,
TensorVector feed_tensors,
TensorVector fetch_tensors,
RunMetadata run_metadata)
\brief Invokes the subgraph named by
handle with the given options and
input tensors. |
Status |
Session.RunCallable(long handle,
TensorVector feed_tensors,
TensorVector fetch_tensors,
RunMetadata run_metadata)
\brief Invokes the subgraph named by
handle with the given options and
input tensors. |
Status |
Session.RunCallable(long handle,
TensorVector feed_tensors,
TensorVector fetch_tensors,
RunMetadata run_metadata,
ThreadPoolOptions threadpool_options)
\brief Invokes the subgraph named by
handle with the given options and
input tensors. |
Status |
Session.RunCallable(long handle,
TensorVector feed_tensors,
TensorVector fetch_tensors,
RunMetadata run_metadata,
ThreadPoolOptions threadpool_options)
\brief Invokes the subgraph named by
handle with the given options and
input tensors. |
static Status |
ProcessFunctionLibraryRuntime.SendTensors(BytePointer source_device,
BytePointer target_device,
BytePointer key_prefix,
long src_incarnation,
TensorVector tensors_to_send,
DeviceContext device_context,
AllocatorAttributes alloc_attrs,
Rendezvous rendezvous) |
static Status |
ProcessFunctionLibraryRuntime.SendTensors(BytePointer source_device,
BytePointer target_device,
BytePointer key_prefix,
long src_incarnation,
TensorVector tensors_to_send,
DeviceContext device_context,
AllocatorAttributes alloc_attrs,
Rendezvous rendezvous) |
static Status |
ProcessFunctionLibraryRuntime.SendTensors(String source_device,
String target_device,
String key_prefix,
long src_incarnation,
TensorVector tensors_to_send,
DeviceContext device_context,
AllocatorAttributes alloc_attrs,
Rendezvous rendezvous) |
static Status |
ProcessFunctionLibraryRuntime.SendTensors(String source_device,
String target_device,
String key_prefix,
long src_incarnation,
TensorVector tensors_to_send,
DeviceContext device_context,
AllocatorAttributes alloc_attrs,
Rendezvous rendezvous) |
Status |
FunctionCallFrame.SetArgs(TensorVector args) |
Status |
FunctionCallFrame.SetArgs(TensorVector args) |
GraphDefBuilder.Options |
GraphDefBuilder.Options.WithAttr(BytePointer attr_name,
TensorVector value) |
GraphDefBuilder.Options |
GraphDefBuilder.Options.WithAttr(BytePointer attr_name,
TensorVector value) |
GraphDefBuilder.Options |
GraphDefBuilder.Options.WithAttr(String attr_name,
TensorVector value) |
GraphDefBuilder.Options |
GraphDefBuilder.Options.WithAttr(String attr_name,
TensorVector value) |
Modifier and Type | Method and Description |
---|---|
static void |
tensorflow.AddNodeAttr(BytePointer name,
TensorVector value,
NodeDef node_def) |
static void |
tensorflow.AddNodeAttr(BytePointer name,
TensorVector value,
NodeDef node_def) |
static void |
tensorflow.AddNodeAttr(String name,
TensorVector value,
NodeDef node_def) |
static void |
tensorflow.AddNodeAttr(String name,
TensorVector value,
NodeDef node_def) |
static Status |
tensorflow.Concat(TensorVector tensors,
Tensor result) |
static Status |
tensorflow.Concat(TensorVector tensors,
Tensor result) |
static Status |
tensorflow.GetNodeAttr(AttrSlice attrs,
BytePointer attr_name,
TensorVector value) |
static Status |
tensorflow.GetNodeAttr(AttrSlice attrs,
BytePointer attr_name,
TensorVector value) |
static Status |
tensorflow.GetNodeAttr(AttrSlice attrs,
String attr_name,
TensorVector value) |
static Status |
tensorflow.GetNodeAttr(AttrSlice attrs,
String attr_name,
TensorVector value) |
static Status |
tensorflow.Split(Tensor tensor,
long[] sizes,
TensorVector result) |
static Status |
tensorflow.Split(Tensor tensor,
long[] sizes,
TensorVector result) |
static Status |
tensorflow.Split(Tensor tensor,
LongBuffer sizes,
TensorVector result) |
static Status |
tensorflow.Split(Tensor tensor,
LongBuffer sizes,
TensorVector result) |
static Status |
tensorflow.Split(Tensor tensor,
LongPointer sizes,
TensorVector result) |
static Status |
tensorflow.Split(Tensor tensor,
LongPointer sizes,
TensorVector result) |
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