CallableOptions.Builder

public static final class CallableOptions.Builder 

 Defines a subgraph in another `GraphDef` as a set of feed points and nodes
 to be fetched or executed.
 Compare with the arguments to `Session::Run()`.
Protobuf type tensorflow.CallableOptions

Public Methods

CallableOptions.Builder
addAllFeed(Iterable<String> values) 
 Tensors to be fed in the callable.
CallableOptions.Builder
addAllFetch(Iterable<String> values) 
 Fetches.
CallableOptions.Builder
addAllTarget(Iterable<String> values) 
 Target Nodes.
CallableOptions.Builder
addAllTensorConnection(Iterable<? extends TensorConnection> values) 
 Tensors to be connected in the callable.
CallableOptions.Builder
addFeed(String value) 
 Tensors to be fed in the callable.
CallableOptions.Builder
addFeedBytes(com.google.protobuf.ByteString value) 
 Tensors to be fed in the callable.
CallableOptions.Builder
addFetch(String value) 
 Fetches.
CallableOptions.Builder
addFetchBytes(com.google.protobuf.ByteString value) 
 Fetches.
CallableOptions.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
CallableOptions.Builder
addTarget(String value) 
 Target Nodes.
CallableOptions.Builder
addTargetBytes(com.google.protobuf.ByteString value) 
 Target Nodes.
CallableOptions.Builder
addTensorConnection(int index, TensorConnection value) 
 Tensors to be connected in the callable.
CallableOptions.Builder
addTensorConnection(int index, TensorConnection.Builder builderForValue) 
 Tensors to be connected in the callable.
CallableOptions.Builder
addTensorConnection(TensorConnection value) 
 Tensors to be connected in the callable.
CallableOptions.Builder
addTensorConnection(TensorConnection.Builder builderForValue) 
 Tensors to be connected in the callable.
TensorConnection.Builder
addTensorConnectionBuilder() 
 Tensors to be connected in the callable.
TensorConnection.Builder
addTensorConnectionBuilder(int index) 
 Tensors to be connected in the callable.
CallableOptions
build()
CallableOptions
buildPartial()
CallableOptions.Builder
clear()
CallableOptions.Builder
clearFeed() 
 Tensors to be fed in the callable.
CallableOptions.Builder
clearFeedDevices()
CallableOptions.Builder
clearFetch() 
 Fetches.
CallableOptions.Builder
clearFetchDevices()
CallableOptions.Builder
clearFetchSkipSync() 
 By default, RunCallable() will synchronize the GPU stream before returning
 fetched tensors on a GPU device, to ensure that the values in those tensors
 have been produced.
CallableOptions.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
CallableOptions.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
CallableOptions.Builder
clearRunOptions() 
 Options that will be applied to each run.
CallableOptions.Builder
clearTarget() 
 Target Nodes.
CallableOptions.Builder
clearTensorConnection() 
 Tensors to be connected in the callable.
CallableOptions.Builder
clone()
boolean
containsFeedDevices(String key) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
boolean
containsFetchDevices(String key)
map<string, string> fetch_devices = 7;
CallableOptions
getDefaultInstanceForType()
final static com.google.protobuf.Descriptors.Descriptor
getDescriptor()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType()
String
getFeed(int index) 
 Tensors to be fed in the callable.
com.google.protobuf.ByteString
getFeedBytes(int index) 
 Tensors to be fed in the callable.
int
getFeedCount() 
 Tensors to be fed in the callable.
Map<String, String>
getFeedDevices()
Use getFeedDevicesMap() instead.
int
getFeedDevicesCount() 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
Map<String, String>
getFeedDevicesMap() 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
String
getFeedDevicesOrDefault(String key, String defaultValue) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
String
getFeedDevicesOrThrow(String key) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
com.google.protobuf.ProtocolStringList
getFeedList() 
 Tensors to be fed in the callable.
String
getFetch(int index) 
 Fetches.
com.google.protobuf.ByteString
getFetchBytes(int index) 
 Fetches.
int
getFetchCount() 
 Fetches.
Map<String, String>
getFetchDevices()
Use getFetchDevicesMap() instead.
int
getFetchDevicesCount()
map<string, string> fetch_devices = 7;
Map<String, String>
getFetchDevicesMap()
map<string, string> fetch_devices = 7;
String
getFetchDevicesOrDefault(String key, String defaultValue)
map<string, string> fetch_devices = 7;
String
getFetchDevicesOrThrow(String key)
map<string, string> fetch_devices = 7;
com.google.protobuf.ProtocolStringList
getFetchList() 
 Fetches.
boolean
getFetchSkipSync() 
 By default, RunCallable() will synchronize the GPU stream before returning
 fetched tensors on a GPU device, to ensure that the values in those tensors
 have been produced.
Map<String, String>
getMutableFeedDevices()
Use alternate mutation accessors instead.
Map<String, String>
getMutableFetchDevices()
Use alternate mutation accessors instead.
RunOptions
getRunOptions() 
 Options that will be applied to each run.
RunOptions.Builder
getRunOptionsBuilder() 
 Options that will be applied to each run.
RunOptionsOrBuilder
getRunOptionsOrBuilder() 
 Options that will be applied to each run.
String
getTarget(int index) 
 Target Nodes.
com.google.protobuf.ByteString
getTargetBytes(int index) 
 Target Nodes.
int
getTargetCount() 
 Target Nodes.
com.google.protobuf.ProtocolStringList
getTargetList() 
 Target Nodes.
TensorConnection
getTensorConnection(int index) 
 Tensors to be connected in the callable.
TensorConnection.Builder
getTensorConnectionBuilder(int index) 
 Tensors to be connected in the callable.
List<TensorConnection.Builder>
getTensorConnectionBuilderList() 
 Tensors to be connected in the callable.
int
getTensorConnectionCount() 
 Tensors to be connected in the callable.
List<TensorConnection>
getTensorConnectionList() 
 Tensors to be connected in the callable.
TensorConnectionOrBuilder
getTensorConnectionOrBuilder(int index) 
 Tensors to be connected in the callable.
List<? extends TensorConnectionOrBuilder>
getTensorConnectionOrBuilderList() 
 Tensors to be connected in the callable.
boolean
hasRunOptions() 
 Options that will be applied to each run.
final boolean
isInitialized()
CallableOptions.Builder
mergeFrom(com.google.protobuf.Message other)
CallableOptions.Builder
mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions.Builder
mergeRunOptions(RunOptions value) 
 Options that will be applied to each run.
final CallableOptions.Builder
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
CallableOptions.Builder
putAllFeedDevices(Map<String, String> values) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
CallableOptions.Builder
putAllFetchDevices(Map<String, String> values)
map<string, string> fetch_devices = 7;
CallableOptions.Builder
putFeedDevices(String key, String value) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
CallableOptions.Builder
putFetchDevices(String key, String value)
map<string, string> fetch_devices = 7;
CallableOptions.Builder
removeFeedDevices(String key) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
CallableOptions.Builder
removeFetchDevices(String key)
map<string, string> fetch_devices = 7;
CallableOptions.Builder
removeTensorConnection(int index) 
 Tensors to be connected in the callable.
CallableOptions.Builder
setFeed(int index, String value) 
 Tensors to be fed in the callable.
CallableOptions.Builder
setFetch(int index, String value) 
 Fetches.
CallableOptions.Builder
setFetchSkipSync(boolean value) 
 By default, RunCallable() will synchronize the GPU stream before returning
 fetched tensors on a GPU device, to ensure that the values in those tensors
 have been produced.
CallableOptions.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
CallableOptions.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
CallableOptions.Builder
setRunOptions(RunOptions.Builder builderForValue) 
 Options that will be applied to each run.
CallableOptions.Builder
setRunOptions(RunOptions value) 
 Options that will be applied to each run.
CallableOptions.Builder
setTarget(int index, String value) 
 Target Nodes.
CallableOptions.Builder
setTensorConnection(int index, TensorConnection value) 
 Tensors to be connected in the callable.
CallableOptions.Builder
setTensorConnection(int index, TensorConnection.Builder builderForValue) 
 Tensors to be connected in the callable.
final CallableOptions.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Inherited Methods

Public Methods

public CallableOptions.Builder addAllFeed (Iterable<String> values) 

 Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1;

public CallableOptions.Builder addAllFetch (Iterable<String> values) 

 Fetches. A list of tensor names. The caller of the callable expects a
 tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
 order of specified fetches does not change the execution order.
repeated string fetch = 2;

public CallableOptions.Builder addAllTarget (Iterable<String> values) 

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
repeated string target = 3;

public CallableOptions.Builder addAllTensorConnection (Iterable<? extends TensorConnection> values) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public CallableOptions.Builder addFeed (String value) 

 Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1;

public CallableOptions.Builder addFeedBytes (com.google.protobuf.ByteString value) 

 Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1;

public CallableOptions.Builder addFetch (String value) 

 Fetches. A list of tensor names. The caller of the callable expects a
 tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
 order of specified fetches does not change the execution order.
repeated string fetch = 2;

public CallableOptions.Builder addFetchBytes (com.google.protobuf.ByteString value) 

 Fetches. A list of tensor names. The caller of the callable expects a
 tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
 order of specified fetches does not change the execution order.
repeated string fetch = 2;

public CallableOptions.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, Object value)

public CallableOptions.Builder addTarget (String value) 

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
repeated string target = 3;

public CallableOptions.Builder addTargetBytes (com.google.protobuf.ByteString value) 

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
repeated string target = 3;

public CallableOptions.Builder addTensorConnection (int index, TensorConnection value) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public CallableOptions.Builder addTensorConnection (int index, TensorConnection.Builder builderForValue) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public CallableOptions.Builder addTensorConnection (TensorConnection value) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public CallableOptions.Builder addTensorConnection (TensorConnection.Builder builderForValue) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public TensorConnection.Builder addTensorConnectionBuilder () 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public TensorConnection.Builder addTensorConnectionBuilder (int index) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public CallableOptions build ()

public CallableOptions buildPartial ()

public CallableOptions.Builder clear ()

public CallableOptions.Builder clearFeed () 

 Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1;

public CallableOptions.Builder clearFeedDevices ()

public CallableOptions.Builder clearFetch () 

 Fetches. A list of tensor names. The caller of the callable expects a
 tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
 order of specified fetches does not change the execution order.
repeated string fetch = 2;

public CallableOptions.Builder clearFetchDevices ()

public CallableOptions.Builder clearFetchSkipSync () 

 By default, RunCallable() will synchronize the GPU stream before returning
 fetched tensors on a GPU device, to ensure that the values in those tensors
 have been produced. This simplifies interacting with the tensors, but
 potentially incurs a performance hit.
 If this options is set to true, the caller is responsible for ensuring
 that the values in the fetched tensors have been produced before they are
 used. The caller can do this by invoking `Device::Sync()` on the underlying
 device(s), or by feeding the tensors back to the same Session using
 `feed_devices` with the same corresponding device name.
bool fetch_skip_sync = 8;

public CallableOptions.Builder clearField (com.google.protobuf.Descriptors.FieldDescriptor field)

public CallableOptions.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

public CallableOptions.Builder clearRunOptions () 

 Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4;

public CallableOptions.Builder clearTarget () 

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
repeated string target = 3;

public CallableOptions.Builder clearTensorConnection () 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public CallableOptions.Builder clone ()

public boolean containsFeedDevices (String key) 

 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
 The options below allow changing that - feeding tensors backed by
 device memory, or returning tensors that are backed by device memory.
 The maps below map the name of a feed/fetch tensor (which appears in
 'feed' or 'fetch' fields above), to the fully qualified name of the device
 owning the memory backing the contents of the tensor.
 For example, creating a callable with the following options:
 CallableOptions {
   feed: "a:0"
   feed: "b:0"
   fetch: "x:0"
   fetch: "y:0"
   feed_devices: {
     "a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
   }
   fetch_devices: {
     "y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
  }
 }
 means that the Callable expects:
 - The first argument ("a:0") is a Tensor backed by GPU memory.
 - The second argument ("b:0") is a Tensor backed by host memory.
 and of its return values:
 - The first output ("x:0") will be backed by host memory.
 - The second output ("y:0") will be backed by GPU memory.
 FEEDS:
 It is the responsibility of the caller to ensure that the memory of the fed
 tensors will be correctly initialized and synchronized before it is
 accessed by operations executed during the call to Session::RunCallable().
 This is typically ensured by using the TensorFlow memory allocators
 (Device::GetAllocator()) to create the Tensor to be fed.
 Alternatively, for CUDA-enabled GPU devices, this typically means that the
 operation that produced the contents of the tensor has completed, i.e., the
 CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
 cuStreamSynchronize()).
map<string, string> feed_devices = 6;

public boolean containsFetchDevices (String key)

map<string, string> fetch_devices = 7;

public CallableOptions getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

public String getFeed (int index) 

 Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1;

public com.google.protobuf.ByteString getFeedBytes (int index) 

 Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1;

public int getFeedCount () 

 Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1;

public Map<String, String> getFeedDevices ()

Use getFeedDevicesMap() instead.

public int getFeedDevicesCount () 

 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
 The options below allow changing that - feeding tensors backed by
 device memory, or returning tensors that are backed by device memory.
 The maps below map the name of a feed/fetch tensor (which appears in
 'feed' or 'fetch' fields above), to the fully qualified name of the device
 owning the memory backing the contents of the tensor.
 For example, creating a callable with the following options:
 CallableOptions {
   feed: "a:0"
   feed: "b:0"
   fetch: "x:0"
   fetch: "y:0"
   feed_devices: {
     "a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
   }
   fetch_devices: {
     "y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
  }
 }
 means that the Callable expects:
 - The first argument ("a:0") is a Tensor backed by GPU memory.
 - The second argument ("b:0") is a Tensor backed by host memory.
 and of its return values:
 - The first output ("x:0") will be backed by host memory.
 - The second output ("y:0") will be backed by GPU memory.
 FEEDS:
 It is the responsibility of the caller to ensure that the memory of the fed
 tensors will be correctly initialized and synchronized before it is
 accessed by operations executed during the call to Session::RunCallable().
 This is typically ensured by using the TensorFlow memory allocators
 (Device::GetAllocator()) to create the Tensor to be fed.
 Alternatively, for CUDA-enabled GPU devices, this typically means that the
 operation that produced the contents of the tensor has completed, i.e., the
 CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
 cuStreamSynchronize()).
map<string, string> feed_devices = 6;

public Map<String, String> getFeedDevicesMap () 

 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
 The options below allow changing that - feeding tensors backed by
 device memory, or returning tensors that are backed by device memory.
 The maps below map the name of a feed/fetch tensor (which appears in
 'feed' or 'fetch' fields above), to the fully qualified name of the device
 owning the memory backing the contents of the tensor.
 For example, creating a callable with the following options:
 CallableOptions {
   feed: "a:0"
   feed: "b:0"
   fetch: "x:0"
   fetch: "y:0"
   feed_devices: {
     "a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
   }
   fetch_devices: {
     "y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
  }
 }
 means that the Callable expects:
 - The first argument ("a:0") is a Tensor backed by GPU memory.
 - The second argument ("b:0") is a Tensor backed by host memory.
 and of its return values:
 - The first output ("x:0") will be backed by host memory.
 - The second output ("y:0") will be backed by GPU memory.
 FEEDS:
 It is the responsibility of the caller to ensure that the memory of the fed
 tensors will be correctly initialized and synchronized before it is
 accessed by operations executed during the call to Session::RunCallable().
 This is typically ensured by using the TensorFlow memory allocators
 (Device::GetAllocator()) to create the Tensor to be fed.
 Alternatively, for CUDA-enabled GPU devices, this typically means that the
 operation that produced the contents of the tensor has completed, i.e., the
 CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
 cuStreamSynchronize()).
map<string, string> feed_devices = 6;

public String getFeedDevicesOrDefault (String key, String defaultValue) 

 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
 The options below allow changing that - feeding tensors backed by
 device memory, or returning tensors that are backed by device memory.
 The maps below map the name of a feed/fetch tensor (which appears in
 'feed' or 'fetch' fields above), to the fully qualified name of the device
 owning the memory backing the contents of the tensor.
 For example, creating a callable with the following options:
 CallableOptions {
   feed: "a:0"
   feed: "b:0"
   fetch: "x:0"
   fetch: "y:0"
   feed_devices: {
     "a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
   }
   fetch_devices: {
     "y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
  }
 }
 means that the Callable expects:
 - The first argument ("a:0") is a Tensor backed by GPU memory.
 - The second argument ("b:0") is a Tensor backed by host memory.
 and of its return values:
 - The first output ("x:0") will be backed by host memory.
 - The second output ("y:0") will be backed by GPU memory.
 FEEDS:
 It is the responsibility of the caller to ensure that the memory of the fed
 tensors will be correctly initialized and synchronized before it is
 accessed by operations executed during the call to Session::RunCallable().
 This is typically ensured by using the TensorFlow memory allocators
 (Device::GetAllocator()) to create the Tensor to be fed.
 Alternatively, for CUDA-enabled GPU devices, this typically means that the
 operation that produced the contents of the tensor has completed, i.e., the
 CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
 cuStreamSynchronize()).
map<string, string> feed_devices = 6;

public String getFeedDevicesOrThrow (String key) 

 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
 The options below allow changing that - feeding tensors backed by
 device memory, or returning tensors that are backed by device memory.
 The maps below map the name of a feed/fetch tensor (which appears in
 'feed' or 'fetch' fields above), to the fully qualified name of the device
 owning the memory backing the contents of the tensor.
 For example, creating a callable with the following options:
 CallableOptions {
   feed: "a:0"
   feed: "b:0"
   fetch: "x:0"
   fetch: "y:0"
   feed_devices: {
     "a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
   }
   fetch_devices: {
     "y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
  }
 }
 means that the Callable expects:
 - The first argument ("a:0") is a Tensor backed by GPU memory.
 - The second argument ("b:0") is a Tensor backed by host memory.
 and of its return values:
 - The first output ("x:0") will be backed by host memory.
 - The second output ("y:0") will be backed by GPU memory.
 FEEDS:
 It is the responsibility of the caller to ensure that the memory of the fed
 tensors will be correctly initialized and synchronized before it is
 accessed by operations executed during the call to Session::RunCallable().
 This is typically ensured by using the TensorFlow memory allocators
 (Device::GetAllocator()) to create the Tensor to be fed.
 Alternatively, for CUDA-enabled GPU devices, this typically means that the
 operation that produced the contents of the tensor has completed, i.e., the
 CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
 cuStreamSynchronize()).
map<string, string> feed_devices = 6;

public com.google.protobuf.ProtocolStringList getFeedList () 

 Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1;

public String getFetch (int index) 

 Fetches. A list of tensor names. The caller of the callable expects a
 tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
 order of specified fetches does not change the execution order.
repeated string fetch = 2;

public com.google.protobuf.ByteString getFetchBytes (int index) 

 Fetches. A list of tensor names. The caller of the callable expects a
 tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
 order of specified fetches does not change the execution order.
repeated string fetch = 2;

public int getFetchCount () 

 Fetches. A list of tensor names. The caller of the callable expects a
 tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
 order of specified fetches does not change the execution order.
repeated string fetch = 2;

public Map<String, String> getFetchDevices ()

Use getFetchDevicesMap() instead.

public int getFetchDevicesCount ()

map<string, string> fetch_devices = 7;

public Map<String, String> getFetchDevicesMap ()

map<string, string> fetch_devices = 7;

public String getFetchDevicesOrDefault (String key, String defaultValue)

map<string, string> fetch_devices = 7;

public String getFetchDevicesOrThrow (String key)

map<string, string> fetch_devices = 7;

public com.google.protobuf.ProtocolStringList getFetchList () 

 Fetches. A list of tensor names. The caller of the callable expects a
 tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
 order of specified fetches does not change the execution order.
repeated string fetch = 2;

public boolean getFetchSkipSync () 

 By default, RunCallable() will synchronize the GPU stream before returning
 fetched tensors on a GPU device, to ensure that the values in those tensors
 have been produced. This simplifies interacting with the tensors, but
 potentially incurs a performance hit.
 If this options is set to true, the caller is responsible for ensuring
 that the values in the fetched tensors have been produced before they are
 used. The caller can do this by invoking `Device::Sync()` on the underlying
 device(s), or by feeding the tensors back to the same Session using
 `feed_devices` with the same corresponding device name.
bool fetch_skip_sync = 8;

public Map<String, String> getMutableFeedDevices ()

Use alternate mutation accessors instead.

public Map<String, String> getMutableFetchDevices ()

Use alternate mutation accessors instead.

public RunOptions getRunOptions () 

 Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4;

public RunOptions.Builder getRunOptionsBuilder () 

 Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4;

public RunOptionsOrBuilder getRunOptionsOrBuilder () 

 Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4;

public String getTarget (int index) 

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
repeated string target = 3;

public com.google.protobuf.ByteString getTargetBytes (int index) 

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
repeated string target = 3;

public int getTargetCount () 

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
repeated string target = 3;

public com.google.protobuf.ProtocolStringList getTargetList () 

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
repeated string target = 3;

public TensorConnection getTensorConnection (int index) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public TensorConnection.Builder getTensorConnectionBuilder (int index) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public List<TensorConnection.Builder> getTensorConnectionBuilderList () 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public int getTensorConnectionCount () 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public List<TensorConnection> getTensorConnectionList () 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public TensorConnectionOrBuilder getTensorConnectionOrBuilder (int index) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public List<? extends TensorConnectionOrBuilder> getTensorConnectionOrBuilderList () 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public boolean hasRunOptions () 

 Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4;

public final boolean isInitialized ()

public CallableOptions.Builder mergeFrom (com.google.protobuf.Message other)

public CallableOptions.Builder mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public CallableOptions.Builder mergeRunOptions (RunOptions value) 

 Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4;

public final CallableOptions.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

public CallableOptions.Builder putAllFeedDevices (Map<String, String> values) 

 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
 The options below allow changing that - feeding tensors backed by
 device memory, or returning tensors that are backed by device memory.
 The maps below map the name of a feed/fetch tensor (which appears in
 'feed' or 'fetch' fields above), to the fully qualified name of the device
 owning the memory backing the contents of the tensor.
 For example, creating a callable with the following options:
 CallableOptions {
   feed: "a:0"
   feed: "b:0"
   fetch: "x:0"
   fetch: "y:0"
   feed_devices: {
     "a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
   }
   fetch_devices: {
     "y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
  }
 }
 means that the Callable expects:
 - The first argument ("a:0") is a Tensor backed by GPU memory.
 - The second argument ("b:0") is a Tensor backed by host memory.
 and of its return values:
 - The first output ("x:0") will be backed by host memory.
 - The second output ("y:0") will be backed by GPU memory.
 FEEDS:
 It is the responsibility of the caller to ensure that the memory of the fed
 tensors will be correctly initialized and synchronized before it is
 accessed by operations executed during the call to Session::RunCallable().
 This is typically ensured by using the TensorFlow memory allocators
 (Device::GetAllocator()) to create the Tensor to be fed.
 Alternatively, for CUDA-enabled GPU devices, this typically means that the
 operation that produced the contents of the tensor has completed, i.e., the
 CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
 cuStreamSynchronize()).
map<string, string> feed_devices = 6;

public CallableOptions.Builder putAllFetchDevices (Map<String, String> values)

map<string, string> fetch_devices = 7;

public CallableOptions.Builder putFeedDevices (String key, String value) 

 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
 The options below allow changing that - feeding tensors backed by
 device memory, or returning tensors that are backed by device memory.
 The maps below map the name of a feed/fetch tensor (which appears in
 'feed' or 'fetch' fields above), to the fully qualified name of the device
 owning the memory backing the contents of the tensor.
 For example, creating a callable with the following options:
 CallableOptions {
   feed: "a:0"
   feed: "b:0"
   fetch: "x:0"
   fetch: "y:0"
   feed_devices: {
     "a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
   }
   fetch_devices: {
     "y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
  }
 }
 means that the Callable expects:
 - The first argument ("a:0") is a Tensor backed by GPU memory.
 - The second argument ("b:0") is a Tensor backed by host memory.
 and of its return values:
 - The first output ("x:0") will be backed by host memory.
 - The second output ("y:0") will be backed by GPU memory.
 FEEDS:
 It is the responsibility of the caller to ensure that the memory of the fed
 tensors will be correctly initialized and synchronized before it is
 accessed by operations executed during the call to Session::RunCallable().
 This is typically ensured by using the TensorFlow memory allocators
 (Device::GetAllocator()) to create the Tensor to be fed.
 Alternatively, for CUDA-enabled GPU devices, this typically means that the
 operation that produced the contents of the tensor has completed, i.e., the
 CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
 cuStreamSynchronize()).
map<string, string> feed_devices = 6;

public CallableOptions.Builder putFetchDevices (String key, String value)

map<string, string> fetch_devices = 7;

public CallableOptions.Builder removeFeedDevices (String key) 

 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
 The options below allow changing that - feeding tensors backed by
 device memory, or returning tensors that are backed by device memory.
 The maps below map the name of a feed/fetch tensor (which appears in
 'feed' or 'fetch' fields above), to the fully qualified name of the device
 owning the memory backing the contents of the tensor.
 For example, creating a callable with the following options:
 CallableOptions {
   feed: "a:0"
   feed: "b:0"
   fetch: "x:0"
   fetch: "y:0"
   feed_devices: {
     "a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
   }
   fetch_devices: {
     "y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
  }
 }
 means that the Callable expects:
 - The first argument ("a:0") is a Tensor backed by GPU memory.
 - The second argument ("b:0") is a Tensor backed by host memory.
 and of its return values:
 - The first output ("x:0") will be backed by host memory.
 - The second output ("y:0") will be backed by GPU memory.
 FEEDS:
 It is the responsibility of the caller to ensure that the memory of the fed
 tensors will be correctly initialized and synchronized before it is
 accessed by operations executed during the call to Session::RunCallable().
 This is typically ensured by using the TensorFlow memory allocators
 (Device::GetAllocator()) to create the Tensor to be fed.
 Alternatively, for CUDA-enabled GPU devices, this typically means that the
 operation that produced the contents of the tensor has completed, i.e., the
 CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
 cuStreamSynchronize()).
map<string, string> feed_devices = 6;

public CallableOptions.Builder removeFetchDevices (String key)

map<string, string> fetch_devices = 7;

public CallableOptions.Builder removeTensorConnection (int index) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public CallableOptions.Builder setFeed (int index, String value) 

 Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1;

public CallableOptions.Builder setFetch (int index, String value) 

 Fetches. A list of tensor names. The caller of the callable expects a
 tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
 order of specified fetches does not change the execution order.
repeated string fetch = 2;

public CallableOptions.Builder setFetchSkipSync (boolean value) 

 By default, RunCallable() will synchronize the GPU stream before returning
 fetched tensors on a GPU device, to ensure that the values in those tensors
 have been produced. This simplifies interacting with the tensors, but
 potentially incurs a performance hit.
 If this options is set to true, the caller is responsible for ensuring
 that the values in the fetched tensors have been produced before they are
 used. The caller can do this by invoking `Device::Sync()` on the underlying
 device(s), or by feeding the tensors back to the same Session using
 `feed_devices` with the same corresponding device name.
bool fetch_skip_sync = 8;

public CallableOptions.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor field, Object value)

public CallableOptions.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)

public CallableOptions.Builder setRunOptions (RunOptions.Builder builderForValue) 

 Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4;

public CallableOptions.Builder setRunOptions (RunOptions value) 

 Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4;

public CallableOptions.Builder setTarget (int index, String value) 

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
repeated string target = 3;

public CallableOptions.Builder setTensorConnection (int index, TensorConnection value) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public CallableOptions.Builder setTensorConnection (int index, TensorConnection.Builder builderForValue) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public final CallableOptions.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)