CallableOptions.Builder

کلاس نهایی استاتیک عمومی 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 نوع tensorflow.CallableOptions

روش های عمومی

CallableOptions.Builder
addAllFeed (مقادیر<String> تکرارپذیر) 
 Tensors to be fed in the callable.
CallableOptions.Builder
addAllFetch (مقادیر<String> تکرارپذیر) 
 Fetches.
CallableOptions.Builder
addAllTarget (مقادیر<String> تکرارپذیر) 
 Target Nodes.
CallableOptions.Builder
addAllTensorConnection (Iterable<? TensorConnection > مقادیر را گسترش می دهد) 
 Tensors to be connected in the callable.
CallableOptions.Builder
addFeed (مقدار رشته) 
 Tensors to be fed in the callable.
CallableOptions.Builder
addFeedBytes (com.google.protobuf.ByteString مقدار) 
 Tensors to be fed in the callable.
CallableOptions.Builder
addFetch (مقدار رشته) 
 Fetches.
CallableOptions.Builder
addFetchBytes (مقدار com.google.protobuf.ByteString) 
 Fetches.
CallableOptions.Builder
addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object)
CallableOptions.Builder
addTarget (مقدار رشته) 
 Target Nodes.
CallableOptions.Builder
addTargetBytes (com.google.protobuf.ByteString مقدار) 
 Target Nodes.
CallableOptions.Builder
addTensorConnection (شاخص int، مقدار TensorConnection ) 
 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 (مقدار TensorConnection ) 
 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
ساختن ()
CallableOptions
ساخت جزئی ()
CallableOptions.Builder
روشن ()
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 (فیلد com.google.protobuf.Descriptors.FieldDescriptor)
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
کلون ()
بولی
containFeedDevices (کلید رشته) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
بولی
حاوی FetchDevices (کلید رشته)
map<string, string> fetch_devices = 7;
CallableOptions
getDefaultInstanceForType ()
نهایی static com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
رشته
getFeed (شاخص int) 
 Tensors to be fed in the callable.
com.google.protobuf.ByteString
getFeedBytes (شاخص int) 
 Tensors to be fed in the callable.
بین المللی
getFeedCount () 
 Tensors to be fed in the callable.
نقشه<رشته، رشته>
getFeedDevices ()
به جای آن از getFeedDevicesMap() استفاده کنید.
بین المللی
getFeedDevicesCount () 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
نقشه<رشته، رشته>
getFeedDevicesMap () 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
رشته
getFeedDevicesOrDefault (کلید رشته، مقدار پیش فرض رشته) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
رشته
getFeedDevicesOrThrow (کلید رشته) 
 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.
رشته
getFetch (شاخص int) 
 Fetches.
com.google.protobuf.ByteString
getFetchBytes (شاخص int) 
 Fetches.
بین المللی
getFetchCount () 
 Fetches.
نقشه<رشته، رشته>
getFetchDevices ()
به جای آن getFetchDevicesMap() استفاده کنید.
بین المللی
getFetchDevicesCount ()
map<string, string> fetch_devices = 7;
نقشه<رشته، رشته>
getFetchDevicesMap ()
map<string, string> fetch_devices = 7;
رشته
getFetchDevicesOrDefault (کلید رشته، مقدار پیش‌فرض رشته)
map<string, string> fetch_devices = 7;
رشته
getFetchDevicesOrThrow (کلید رشته)
map<string, string> fetch_devices = 7;
com.google.protobuf.ProtocolStringList
getFetchList () 
 Fetches.
بولی
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.
نقشه<رشته، رشته>
getMutableFeedDevices ()
به جای آن از ابزارهای جهش جایگزین استفاده کنید.
نقشه<رشته، رشته>
getMutableFetchDevices ()
به جای آن از ابزارهای جهش جایگزین استفاده کنید.
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.
رشته
getTarget (شاخص int) 
 Target Nodes.
com.google.protobuf.ByteString
getTargetBytes (شاخص int) 
 Target Nodes.
بین المللی
getTargetCount () 
 Target Nodes.
com.google.protobuf.ProtocolStringList
getTargetList () 
 Target Nodes.
تنسور اتصال
getTensorConnection (شاخص int) 
 Tensors to be connected in the callable.
TensorConnection.Builder
getTensorConnectionBuilder (شاخص int) 
 Tensors to be connected in the callable.
List< TensorConnection.Builder >
getTensorConnectionBuilderList () 
 Tensors to be connected in the callable.
بین المللی
getTensorConnectionCount () 
 Tensors to be connected in the callable.
لیست< TensorConnection >
getTensorConnectionList () 
 Tensors to be connected in the callable.
TensorConnectionOrBuilder
getTensorConnectionOrBuilder (شاخص int) 
 Tensors to be connected in the callable.
لیست<? TensorConnectionOrBuilder را گسترش می دهد
getTensorConnectionOrBuilderList () 
 Tensors to be connected in the callable.
بولی
hasRunOptions () 
 Options that will be applied to each run.
بولی نهایی
اولیه شده است ()
CallableOptions.Builder
mergeFrom (com.google.protobuf.Message other)
CallableOptions.Builder
mergeFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions.Builder
mergeRunOptions (مقدار RunOptions ) 
 Options that will be applied to each run.
نهایی CallableOptions.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
CallableOptions.Builder
putAllFeedDevices (مقادیر Map<String, String>) 
 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 (مقادیر Map<String, String>)
map<string, string> fetch_devices = 7;
CallableOptions.Builder
putFeedDevices (کلید رشته، مقدار رشته) 
 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 (کلید رشته، مقدار رشته)
map<string, string> fetch_devices = 7;
CallableOptions.Builder
removeFeedDevices (کلید رشته) 
 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 (کلید رشته)
map<string, string> fetch_devices = 7;
CallableOptions.Builder
removeTensorConnection (شاخص int) 
 Tensors to be connected in the callable.
CallableOptions.Builder
setFeed (شاخص int، مقدار رشته) 
 Tensors to be fed in the callable.
CallableOptions.Builder
setFetch (شاخص int، مقدار رشته) 
 Fetches.
CallableOptions.Builder
setFetchSkipSync (مقدار بولی) 
 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 فیلد، مقدار Object)
CallableOptions.Builder
setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor، نمایه int، مقدار Object)
CallableOptions.Builder
setRunOptions ( RunOptions.Builder builderForValue) 
 Options that will be applied to each run.
CallableOptions.Builder
setRunOptions (مقدار RunOptions ) 
 Options that will be applied to each run.
CallableOptions.Builder
setTarget (شاخص int، مقدار رشته) 
 Target Nodes.
CallableOptions.Builder
setTensorConnection (شاخص int، مقدار TensorConnection ) 
 Tensors to be connected in the callable.
CallableOptions.Builder
setTensorConnection (int index، TensorConnection.Builder builderForValue) 
 Tensors to be connected in the callable.
نهایی CallableOptions.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

روش های ارثی

روش های عمومی

عمومی CallableOptions.Builder addAllFeed (مقادیر<String> تکرارپذیر) 

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

عمومی CallableOptions.Builder addAllFetch (مقادیر تکرارپذیر<String>) 

 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;

عمومی CallableOptions.Builder addAllTarget (مقادیر تکرارپذیر<String>) 

 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;

عمومی CallableOptions.Builder addAllTensorConnection (Iterable<? TensorConnection > مقادیر را گسترش می دهد) 

 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;

عمومی CallableOptions.Builder addFeed (مقدار رشته) 

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

عمومی CallableOptions.Builder addFeedBytes (مقدار com.google.protobuf.ByteString) 

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

عمومی CallableOptions.Builder addFetch (مقدار رشته) 

 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;

عمومی CallableOptions.Builder addFetchBytes (مقدار com.google.protobuf.ByteString) 

 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;

عمومی CallableOptions.Builder addRepeatedField (فیلد com.google.protobuf.Descriptors.FieldDescriptor، مقدار Object)

عمومی CallableOptions.Builder addTarget (مقدار رشته) 

 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;

عمومی CallableOptions.Builder addTargetBytes (مقدار com.google.protobuf.ByteString) 

 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;

عمومی CallableOptions.Builder addTensorConnection (شاخص int، مقدار TensorConnection ) 

 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;

عمومی 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;

عمومی CallableOptions.Builder addTensorConnection (مقدار TensorConnection ) 

 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;

عمومی 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;

عمومی 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;

عمومی 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;

ساخت عمومی CallableOptions ()

عمومی CallableOptions buildPartial ()

عمومی CallableOptions.Builder پاک ()

عمومی CallableOptions.Builder clearFeed () 

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

عمومی CallableOptions.Builder clearFeedDevices ()

عمومی 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;

عمومی CallableOptions.Builder clearFetchDevices ()

عمومی 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;

عمومی CallableOptions.Builder clearField (فیلد com.google.protobuf.Descriptors.FieldDescriptor)

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

عمومی CallableOptions.Builder clearRunOptions () 

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

عمومی 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;

عمومی 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;

کلون عمومی CallableOptions.Builder ()

بولین عمومی حاویFeedDevices (کلید رشته) 

 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;

بولین عمومی حاوی FetchDevices (کلید رشته)

map<string, string> fetch_devices = 7;

عمومی CallableOptions getDefaultInstanceForType ()

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

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

رشته عمومی getFeed (شاخص int) 

 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;

عمومی int getFeedCount () 

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

نقشه عمومی<String, String> getFeedDevices ()

به جای آن از getFeedDevicesMap() استفاده کنید.

عمومی 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;

نقشه عمومی<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;

رشته عمومی getFeedDevicesOrDefault (کلید رشته، مقدار پیش فرض رشته) 

 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;

رشته عمومی getFeedDevicesOrThrow (کلید رشته) 

 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;

عمومی com.google.protobuf.ProtocolStringList getFeedList () 

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

رشته عمومی getFetch (شاخص 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;

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;

عمومی 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;

نقشه عمومی<String, String> getFetchDevices ()

به جای آن getFetchDevicesMap() استفاده کنید.

عمومی int getFetchDevicesCount ()

map<string, string> fetch_devices = 7;

نقشه عمومی<String, String> getFetchDevicesMap ()

map<string, string> fetch_devices = 7;

رشته عمومی getFetchDevicesOrDefault (کلید رشته، مقدار پیش فرض رشته)

map<string, string> fetch_devices = 7;

رشته عمومی getFetchDevicesOrThrow (کلید رشته)

map<string, string> fetch_devices = 7;

عمومی 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;

getFetchSkipSync بولین عمومی () 

 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;

نقشه عمومی<String, String> getMutableFeedDevices ()

به جای آن از ابزارهای جهش جایگزین استفاده کنید.

نقشه عمومی<String, String> getMutableFetchDevices ()

به جای آن از ابزارهای جهش جایگزین استفاده کنید.

عمومی RunOptions getRunOptions () 

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

عمومی RunOptions.Builder getRunOptionsBuilder () 

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

عمومی RunOptionsOrBuilder getRunOptionsOrBuilder () 

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

رشته عمومی getTarget (شاخص 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;

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;

عمومی 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;

عمومی 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;

عمومی 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;

عمومی 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;

لیست عمومی< 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;

عمومی 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;

لیست عمومی< 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;

عمومی 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;

لیست عمومی<? گسترش 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;

hasRunOptions بولی عمومی () 

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

بولین نهایی عمومی isInitialized ()

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

عمومی CallableOptions.Builder mergeFrom (com.google.protobuf.CodedInputStream ورودی، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
IOException

عمومی CallableOptions.Builder mergeRunOptions (مقدار RunOptions ) 

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

عمومی نهایی CallableOptions.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

عمومی CallableOptions.Builder putAllFeedDevices (مقادیر Map<String, 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;

عمومی CallableOptions.Builder putAllFetchDevices (مقادیر Map<String, String>)

map<string, string> fetch_devices = 7;

عمومی CallableOptions.Builder putFeedDevices (کلید رشته، مقدار رشته) 

 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;

عمومی CallableOptions.Builder putFetchDevices (کلید رشته، مقدار رشته)

map<string, string> fetch_devices = 7;

عمومی CallableOptions.Builder removeFeedDevices (کلید رشته) 

 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;

عمومی CallableOptions.Builder removeFetchDevices (کلید رشته)

map<string, string> fetch_devices = 7;

عمومی 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;

عمومی CallableOptions.Builder setFeed (شاخص int، مقدار رشته) 

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

عمومی CallableOptions.Builder setFetch (شاخص int، مقدار رشته) 

 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;

عمومی CallableOptions.Builder setFetchSkipSync (مقدار بولی) 

 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;

عمومی CallableOptions.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object)

عمومی CallableOptions.Builder setRepeatedField (فیلد com.google.protobuf.Descriptors.FieldDescriptor، نمایه int، مقدار Object)

عمومی CallableOptions.Builder setRunOptions ( RunOptions.Builder builderForValue) 

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

عمومی CallableOptions.Builder setRunOptions (مقدار RunOptions ) 

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

عمومی CallableOptions.Builder setTarget (شاخص int، مقدار رشته) 

 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;

عمومی CallableOptions.Builder setTensorConnection (شاخص int، مقدار TensorConnection ) 

 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;

عمومی 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;

نهایی عمومی CallableOptions.Builder setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)