public static final class CallableOptions.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<CallableOptions.Builder> implements CallableOptionsOrBuilder
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| Modifier and Type | Method and Description |
|---|---|
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.Builder builderForValue)
Tensors to be connected in the callable.
|
CallableOptions.Builder |
addTensorConnection(int index,
TensorConnection value)
Tensors to be connected in the callable.
|
CallableOptions.Builder |
addTensorConnection(TensorConnection.Builder builderForValue)
Tensors to be connected in the callable.
|
CallableOptions.Builder |
addTensorConnection(TensorConnection value)
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() |
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()
Deprecated.
|
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()
Deprecated.
|
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()
Deprecated.
|
Map<String,String> |
getMutableFetchDevices()
Deprecated.
|
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.
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
protected com.google.protobuf.MapField |
internalGetMapField(int number) |
protected com.google.protobuf.MapField |
internalGetMutableMapField(int number) |
boolean |
isInitialized() |
CallableOptions.Builder |
mergeFrom(CallableOptions other) |
CallableOptions.Builder |
mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
CallableOptions.Builder |
mergeFrom(com.google.protobuf.Message other) |
CallableOptions.Builder |
mergeRunOptions(RunOptions value)
Options that will be applied to each run.
|
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.Builder builderForValue)
Tensors to be connected in the callable.
|
CallableOptions.Builder |
setTensorConnection(int index,
TensorConnection value)
Tensors to be connected in the callable.
|
CallableOptions.Builder |
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.MapField internalGetMapField(int number)
internalGetMapField in class com.google.protobuf.GeneratedMessageV3.Builder<CallableOptions.Builder>protected com.google.protobuf.MapField internalGetMutableMapField(int number)
internalGetMutableMapField in class com.google.protobuf.GeneratedMessageV3.Builder<CallableOptions.Builder>protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<CallableOptions.Builder>public CallableOptions.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<CallableOptions.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<CallableOptions.Builder>public CallableOptions getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic CallableOptions build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic CallableOptions buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic CallableOptions.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<CallableOptions.Builder>public CallableOptions.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface com.google.protobuf.Message.BuildersetField in class com.google.protobuf.GeneratedMessageV3.Builder<CallableOptions.Builder>public CallableOptions.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<CallableOptions.Builder>public CallableOptions.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<CallableOptions.Builder>public CallableOptions.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface com.google.protobuf.Message.BuildersetRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<CallableOptions.Builder>public CallableOptions.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface com.google.protobuf.Message.BuilderaddRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<CallableOptions.Builder>public CallableOptions.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<CallableOptions.Builder>public CallableOptions.Builder mergeFrom(CallableOptions other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<CallableOptions.Builder>public CallableOptions.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<CallableOptions.Builder>IOExceptionpublic com.google.protobuf.ProtocolStringList getFeedList()
Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1;getFeedList in interface CallableOptionsOrBuilderpublic int getFeedCount()
Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1;getFeedCount in interface CallableOptionsOrBuilderpublic String getFeed(int index)
Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1;getFeed in interface CallableOptionsOrBuilderpublic 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;getFeedBytes in interface CallableOptionsOrBuilderpublic 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 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 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 clearFeed()
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 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;getFetchList in interface CallableOptionsOrBuilderpublic 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;getFetchCount in interface CallableOptionsOrBuilderpublic 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;getFetch in interface CallableOptionsOrBuilderpublic 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;getFetchBytes in interface CallableOptionsOrBuilderpublic 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 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 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 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 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 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;getTargetList in interface CallableOptionsOrBuilderpublic 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;getTargetCount in interface CallableOptionsOrBuilderpublic 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;getTarget in interface CallableOptionsOrBuilderpublic 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;getTargetBytes in interface CallableOptionsOrBuilderpublic 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 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 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 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 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 boolean hasRunOptions()
Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4;hasRunOptions in interface CallableOptionsOrBuilderpublic RunOptions getRunOptions()
Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4;getRunOptions in interface CallableOptionsOrBuilderpublic CallableOptions.Builder setRunOptions(RunOptions value)
Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4;public CallableOptions.Builder setRunOptions(RunOptions.Builder builderForValue)
Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4;public CallableOptions.Builder mergeRunOptions(RunOptions value)
Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4;public CallableOptions.Builder clearRunOptions()
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;getRunOptionsOrBuilder in interface CallableOptionsOrBuilderpublic 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;getTensorConnectionList in interface CallableOptionsOrBuilderpublic 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;getTensorConnectionCount in interface CallableOptionsOrBuilderpublic 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;getTensorConnection in interface CallableOptionsOrBuilderpublic 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 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(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(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(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 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 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 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 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 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;getTensorConnectionOrBuilder in interface CallableOptionsOrBuilderpublic 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;getTensorConnectionOrBuilderList in interface CallableOptionsOrBuilderpublic 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 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 getFeedDevicesCount()
CallableOptionsOrBuilder
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;getFeedDevicesCount in interface CallableOptionsOrBuilderpublic 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;containsFeedDevices in interface CallableOptionsOrBuilder@Deprecated public Map<String,String> getFeedDevices()
getFeedDevicesMap() instead.getFeedDevices in interface CallableOptionsOrBuilderpublic 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;getFeedDevicesMap in interface CallableOptionsOrBuilderpublic 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;getFeedDevicesOrDefault in interface CallableOptionsOrBuilderpublic 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;getFeedDevicesOrThrow in interface CallableOptionsOrBuilderpublic CallableOptions.Builder clearFeedDevices()
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;@Deprecated public Map<String,String> getMutableFeedDevices()
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 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 int getFetchDevicesCount()
CallableOptionsOrBuildermap<string, string> fetch_devices = 7;getFetchDevicesCount in interface CallableOptionsOrBuilderpublic boolean containsFetchDevices(String key)
map<string, string> fetch_devices = 7;containsFetchDevices in interface CallableOptionsOrBuilder@Deprecated public Map<String,String> getFetchDevices()
getFetchDevicesMap() instead.getFetchDevices in interface CallableOptionsOrBuilderpublic Map<String,String> getFetchDevicesMap()
map<string, string> fetch_devices = 7;getFetchDevicesMap in interface CallableOptionsOrBuilderpublic String getFetchDevicesOrDefault(String key, String defaultValue)
map<string, string> fetch_devices = 7;getFetchDevicesOrDefault in interface CallableOptionsOrBuilderpublic String getFetchDevicesOrThrow(String key)
map<string, string> fetch_devices = 7;getFetchDevicesOrThrow in interface CallableOptionsOrBuilderpublic CallableOptions.Builder clearFetchDevices()
public CallableOptions.Builder removeFetchDevices(String key)
map<string, string> fetch_devices = 7;@Deprecated public Map<String,String> getMutableFetchDevices()
public CallableOptions.Builder putFetchDevices(String key, String value)
map<string, string> fetch_devices = 7;public CallableOptions.Builder putAllFetchDevices(Map<String,String> values)
map<string, string> fetch_devices = 7;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;getFetchSkipSync in interface CallableOptionsOrBuilderpublic 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 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 final CallableOptions.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<CallableOptions.Builder>public final CallableOptions.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<CallableOptions.Builder>Copyright © 2015–2019. All rights reserved.