CallableOptions

CallableOptions kelas akhir publik

 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()`.
Tipe protobuf tensorflow.CallableOptions

Kelas Bersarang

kelas CallableOptions.Builder 
 Defines a subgraph in another `GraphDef` as a set of feed points and nodes
 to be fetched or executed. 

Konstanta

ke dalam FEED_DEVICES_FIELD_NUMBER
ke dalam FEED_FIELD_NUMBER
ke dalam FETCH_DEVICES_FIELD_NUMBER
ke dalam FETCH_FIELD_NUMBER
ke dalam FETCH_SKIP_SYNC_FIELD_NUMBER
ke dalam RUN_OPTIONS_FIELD_NUMBER
ke dalam TARGET_FIELD_NUMBER
ke dalam TENSOR_CONNECTION_FIELD_NUMBER

Metode Publik

boolean
berisiFeedDevices (kunci string) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
boolean
berisiFetchDevices (kunci string)
map<string, string> fetch_devices = 7;
boolean
sama dengan (Objek objek)
CallableOptions statis
dapatkanDefaultInstance ()
Opsi yang Dapat Dipanggil
dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir
dapatkanDescriptor ()
Rangkaian
getFeed (indeks int) 
 Tensors to be fed in the callable.
com.google.protobuf.ByteString
getFeedBytes (indeks int) 
 Tensors to be fed in the callable.
ke dalam
dapatkan Jumlah Umpan () 
 Tensors to be fed in the callable.
Peta<String, String>
dapatkan Perangkat Umpan ()
Gunakan getFeedDevicesMap() sebagai gantinya.
ke dalam
dapatkanFeedDevicesCount () 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
Peta<String, String>
dapatkan FeedDevicesMap () 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
Rangkaian
getFeedDevicesOrDefault (kunci string, 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.
Rangkaian
getFeedDevicesOrThrow (kunci string) 
 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
dapatkanDaftar Umpan () 
 Tensors to be fed in the callable.
Rangkaian
getFetch (indeks int) 
 Fetches.
com.google.protobuf.ByteString
getFetchBytes (indeks int) 
 Fetches.
ke dalam
dapatkanFetchCount () 
 Fetches.
Peta<String, String>
dapatkanFetchDevices ()
Gunakan getFetchDevicesMap() sebagai gantinya.
ke dalam
dapatkanFetchDevicesCount ()
map<string, string> fetch_devices = 7;
Peta<String, String>
dapatkanFetchDevicesMap ()
map<string, string> fetch_devices = 7;
Rangkaian
getFetchDevicesOrDefault (kunci string, String defaultValue)
map<string, string> fetch_devices = 7;
Rangkaian
getFetchDevicesOrThrow (kunci string)
map<string, string> fetch_devices = 7;
com.google.protobuf.ProtocolStringList
dapatkanFetchList () 
 Fetches.
boolean
dapatkanFetchSkipSync () 
 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.
dapatkanParserForType ()
Opsi Jalankan
dapatkan Opsi Jalankan () 
 Options that will be applied to each run.
JalankanOptionsOrBuilder
dapatkanRunOptionsOrBuilder () 
 Options that will be applied to each run.
ke dalam
dapatkanUkuranSerial ()
Rangkaian
getTarget (indeks int) 
 Target Nodes.
com.google.protobuf.ByteString
getTargetBytes (indeks int) 
 Target Nodes.
ke dalam
dapatkanTargetCount () 
 Target Nodes.
com.google.protobuf.ProtocolStringList
dapatkanDaftar Target () 
 Target Nodes.
Koneksi Tensor
getTensorConnection (indeks int) 
 Tensors to be connected in the callable.
ke dalam
dapatkanTensorConnectionCount () 
 Tensors to be connected in the callable.
Daftar< TensorConnection >
dapatkanTensorConnectionList () 
 Tensors to be connected in the callable.
TensorConnectionOrBuilder
getTensorConnectionOrBuilder (indeks int) 
 Tensors to be connected in the callable.
Daftar<? memperluas TensorConnectionOrBuilder >
dapatkanTensorConnectionOrBuilderList () 
 Tensors to be connected in the callable.
final com.google.protobuf.UnknownFieldSet
dapatkan Bidang Tidak Dikenal ()
boolean
hasRunOptions () 
 Options that will be applied to each run.
ke dalam
Kode hash ()
boolean terakhir
diinisialisasi ()
CallableOptions.Builder statis
Pembangun baru ()
CallableOptions.Builder statis
newBuilder (prototipe CallableOptions )
CallableOptions.Builder
newBuilderForType ()
CallableOptions statis
parseDelimitedFrom (masukan Aliran Masukan)
CallableOptions statis
parseDelimitedFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions statis
parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions statis
parseFrom (com.google.protobuf.CodedInputStream masukan)
CallableOptions statis
parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions statis
parseFrom (data ByteBuffer)
CallableOptions statis
parseFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions statis
parseFrom (com.google.protobuf.ByteString data)
CallableOptions statis
parseFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions statis
parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statis
pengurai ()
CallableOptions.Builder
untukPembangun ()
ruang kosong
writeTo (com.google.protobuf.CodedOutputStream keluaran)

Metode Warisan

Konstanta

int final statis publik FEED_DEVICES_FIELD_NUMBER

Nilai Konstan: 6

int akhir statis publik FEED_FIELD_NUMBER

Nilai Konstan: 1

int final statis publik FETCH_DEVICES_FIELD_NUMBER

Nilai Konstan: 7

int final statis publik FETCH_FIELD_NUMBER

Nilai Konstan: 2

int akhir statis publik FETCH_SKIP_SYNC_FIELD_NUMBER

Nilai Konstan: 8

int final statis publik RUN_OPTIONS_FIELD_NUMBER

Nilai Konstan: 4

int final statis publik TARGET_FIELD_NUMBER

Nilai Konstan: 3

int akhir statis publik TENSOR_CONNECTION_FIELD_NUMBER

Nilai Konstan: 5

Metode Publik

boolean publik berisi FeedDevices (kunci String) 

 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;

boolean publik berisiFetchDevices (kunci string)

map<string, string> fetch_devices = 7;

boolean publik sama (Obj objek)

CallableOptions statis publik getDefaultInstance ()

CallableOptions publik getDefaultInstanceForType ()

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

GetFeed String publik (indeks int) 

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

com.google.protobuf.ByteString getFeedBytes publik (indeks int) 

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

int publik getFeedCount () 

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

Peta publik<String, String> getFeedDevices ()

Gunakan getFeedDevicesMap() sebagai gantinya.

int publik 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;

peta publik<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;

String publik getFeedDevicesOrDefault (kunci string, 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;

String publik getFeedDevicesOrThrow (kunci String) 

 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;

com.google.protobuf.ProtocolStringList getFeedList () publik 

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

GetFetch String publik (indeks int) 

 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;

publik com.google.protobuf.ByteString getFetchBytes (indeks int) 

 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;

int publik 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;

Peta publik<String, String> getFetchDevices ()

Gunakan getFetchDevicesMap() sebagai gantinya.

int publik getFetchDevicesCount ()

map<string, string> fetch_devices = 7;

Peta publik<String, String> getFetchDevicesMap ()

map<string, string> fetch_devices = 7;

String publik getFetchDevicesOrDefault (kunci string, String defaultValue)

map<string, string> fetch_devices = 7;

String publik getFetchDevicesOrThrow (kunci string)

map<string, string> fetch_devices = 7;

com.google.protobuf.ProtocolStringList getFetchList () publik 

 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;

getFetchSkipSync boolean publik () 

 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;

publik dapatkanParserForType ()

RunOptions publik getRunOptions () 

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

RunOptionsOrBuilder publik getRunOptionsOrBuilder () 

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

publik int getSerializedSize ()

GetTarget String publik (indeks int) 

 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;

publik com.google.protobuf.ByteString getTargetBytes (indeks int) 

 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;

int publik 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;

com.google.protobuf.ProtocolStringList getTargetList () publik 

 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;

TensorConnection publik getTensorConnection (indeks int) 

 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;

int publik 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;

Daftar publik< 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;

TensorConnectionOrBuilder publik getTensorConnectionOrBuilder (int indeks) 

 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;

Daftar Publik<? memperluas 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 final com.google.protobuf.UnknownFieldSet getUnknownFields ()

boolean publik hasRunOptions () 

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

kode hash int publik ()

boolean akhir publik diinisialisasi ()

CallableOptions.Builder newBuilder statis publik ()

CallableOptions.Builder statis publik newBuilder (prototipe CallableOptions )

CallableOptions.Builder publik newBuilderForType ()

CallableOptions statis publik parseDelimitedFrom (input InputStream)

Melempar
Pengecualian IO

CallableOptions statis publik parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

parseFrom CallableOptions statis publik (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
InvalidProtocolBufferException

parseFrom CallableOptions statis publik (com.google.protobuf.CodedInputStream masukan)

Melempar
Pengecualian IO

parseFrom CallableOptions statis publik (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
InvalidProtocolBufferException

parseFrom CallableOptions statis publik (data ByteBuffer)

Melempar
InvalidProtocolBufferException

parseFrom CallableOptions statis publik (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

parseFrom CallableOptions statis publik (com.google.protobuf.ByteString data)

Melempar
InvalidProtocolBufferException

parseFrom CallableOptions statis publik (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

parseFrom CallableOptions statis publik (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
InvalidProtocolBufferException

statis publik pengurai ()

CallableOptions.Builder toBuilder publik ()

public void writeTo (com.google.protobuf.CodedOutputStream keluaran)

Melempar
Pengecualian IO