CallableOptions

सार्वजनिक अंतिम वर्ग कॉल करने योग्य विकल्प

 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()`.
प्रोटोबफ़ प्रकार tensorflow.CallableOptions

नेस्टेड क्लासेस

कक्षा कॉल करने योग्य विकल्प.बिल्डर 
 Defines a subgraph in another `GraphDef` as a set of feed points and nodes
 to be fetched or executed. 

स्थिरांक

int यहाँ FEED_DEVICES_FIELD_NUMBER
int यहाँ फ़ीड_फ़ील्ड_नंबर
int यहाँ FETCH_DEVICES_FIELD_NUMBER
int यहाँ FETCH_FIELD_NUMBER
int यहाँ FETCH_SKIP_SYNC_FIELD_NUMBER
int यहाँ RUN_OPTIONS_FIELD_NUMBER
int यहाँ TARGET_FIELD_NUMBER
int यहाँ TENSOR_CONNECTION_FIELD_NUMBER

सार्वजनिक तरीके

बूलियन
includeFeedDevices (स्ट्रिंग कुंजी) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
बूलियन
includeFetchDevices (स्ट्रिंग कुंजी)
map<string, string> fetch_devices = 7;
बूलियन
बराबर (वस्तु वस्तु)
स्थिर कॉल करने योग्य विकल्प
getDefaultInstance ()
कॉल करने योग्य विकल्प
getDefaultInstanceForType ()
अंतिम स्थिर com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
डोरी
getFeed (int सूचकांक) 
 Tensors to be fed in the callable.
com.google.protobuf.ByteString
getFeedBytes (int सूचकांक) 
 Tensors to be fed in the callable.
int यहाँ
getFeedCount () 
 Tensors to be fed in the callable.
मानचित्र<स्ट्रिंग, स्ट्रिंग>
getFeedDevices ()
इसके बजाय getFeedDevicesMap() उपयोग करें।
int यहाँ
getFeedDevicesCount () 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
मानचित्र<स्ट्रिंग, स्ट्रिंग>
getFeedDevicesMap () 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
डोरी
getFeedDevicesOrDefault (स्ट्रिंग कुंजी, स्ट्रिंग defaultValue) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
डोरी
getFeedDevicesOrThrow (स्ट्रिंग कुंजी) 
 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.
डोरी
getFetch (int सूचकांक) 
 Fetches.
com.google.protobuf.ByteString
getFetchBytes (int अनुक्रमणिका) 
 Fetches.
int यहाँ
getFetchCount () 
 Fetches.
मानचित्र<स्ट्रिंग, स्ट्रिंग>
getFetchDevices ()
इसके बजाय getFetchDevicesMap() उपयोग करें।
int यहाँ
getFetchDevicesCount ()
map<string, string> fetch_devices = 7;
मानचित्र<स्ट्रिंग, स्ट्रिंग>
getFetchDevicesMap ()
map<string, string> fetch_devices = 7;
डोरी
getFetchDevicesOrDefault (स्ट्रिंग कुंजी, स्ट्रिंग defaultValue)
map<string, string> fetch_devices = 7;
डोरी
getFetchDevicesOrThrow (स्ट्रिंग कुंजी)
map<string, string> fetch_devices = 7;
com.google.protobuf.ProtocolStringList
getFetchList () 
 Fetches.
बूलियन
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.
getParserForType ()
रनविकल्प
getRunOptions () 
 Options that will be applied to each run.
RunOptionsOrBuilder
getRunOptionsOrBuilder () 
 Options that will be applied to each run.
int यहाँ
getSerializedआकार ()
डोरी
लक्ष्य प्राप्त करें (int सूचकांक) 
 Target Nodes.
com.google.protobuf.ByteString
getTargetBytes (int अनुक्रमणिका) 
 Target Nodes.
int यहाँ
लक्ष्यगणना प्राप्त करें () 
 Target Nodes.
com.google.protobuf.ProtocolStringList
लक्ष्यसूची प्राप्त करें () 
 Target Nodes.
टेंसरकनेक्शन
getTensorConnection (इंट इंडेक्स) 
 Tensors to be connected in the callable.
int यहाँ
getTensorConnectionCount () 
 Tensors to be connected in the callable.
सूची< TensorConnection >
getTensorConnectionList () 
 Tensors to be connected in the callable.
TensorConnectionOrBuilder
getTensorConnectionOrBuilder (int अनुक्रमणिका) 
 Tensors to be connected in the callable.
सूची<? TensorConnectionOrBuilder > का विस्तार करता है
getTensorConnectionOrBuilderList () 
 Tensors to be connected in the callable.
अंतिम com.google.protobuf.UnknownFieldSet
अज्ञात फ़ील्ड प्राप्त करें ()
बूलियन
hasRunOptions () 
 Options that will be applied to each run.
int यहाँ
हैशकोड ()
अंतिम बूलियन
प्रारंभ किया गया है ()
स्थिर कॉल करने योग्य विकल्प.बिल्डर
नयाबिल्डर ()
स्थिर कॉल करने योग्य विकल्प.बिल्डर
न्यूबिल्डर ( कॉल करने योग्य विकल्प प्रोटोटाइप)
कॉल करने योग्य विकल्प.बिल्डर
न्यूबिल्डरफॉरटाइप ()
स्थिर कॉल करने योग्य विकल्प
parseDelimitedFrom (इनपुटस्ट्रीम इनपुट)
स्थिर कॉल करने योग्य विकल्प
parseDelimitedFrom (इनपुटस्ट्रीम इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थिर कॉल करने योग्य विकल्प
पार्सफ्रॉम (बाइटबफ़र डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थिर कॉल करने योग्य विकल्प
parseFrom (com.google.protobuf.CodedInputStream इनपुट)
स्थिर कॉल करने योग्य विकल्प
पार्सफ्रॉम (बाइट[] डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थिर कॉल करने योग्य विकल्प
पार्सफ्रॉम (बाइटबफ़र डेटा)
स्थिर कॉल करने योग्य विकल्प
parseFrom (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थिर कॉल करने योग्य विकल्प
parseFrom (com.google.protobuf.ByteString डेटा)
स्थिर कॉल करने योग्य विकल्प
पार्सफ्रॉम (इनपुटस्ट्रीम इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थिर कॉल करने योग्य विकल्प
parseFrom (com.google.protobuf.ByteString डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थिर
पार्सर ()
कॉल करने योग्य विकल्प.बिल्डर
टूबिल्डर ()
खालीपन
राइटटू (com.google.protobuf.CodedOutputStream आउटपुट)

विरासत में मिले तरीके

स्थिरांक

सार्वजनिक स्थैतिक अंतिम पूर्णांक FEED_DEVICES_FIELD_NUMBER

स्थिर मान: 6

सार्वजनिक स्थैतिक अंतिम पूर्णांक FEED_FIELD_NUMBER

स्थिर मान: 1

सार्वजनिक स्थैतिक अंतिम int FETCH_DEVICES_FIELD_NUMBER

स्थिर मान: 7

सार्वजनिक स्थैतिक अंतिम int FETCH_FIELD_NUMBER

स्थिर मान: 2

सार्वजनिक स्थैतिक अंतिम पूर्णांक FETCH_SKIP_SYNC_FIELD_NUMBER

स्थिर मान: 8

सार्वजनिक स्थैतिक अंतिम पूर्णांक RUN_OPTIONS_FIELD_NUMBER

स्थिर मान: 4

सार्वजनिक स्थैतिक अंतिम int TARGET_FIELD_NUMBER

स्थिर मान: 3

सार्वजनिक स्थैतिक अंतिम पूर्णांक TENSOR_CONNECTION_FIELD_NUMBER

स्थिर मान: 5

सार्वजनिक तरीके

सार्वजनिक बूलियन में फ़ीडडिवाइस शामिल हैं (स्ट्रिंग कुंजी) 

 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;

सार्वजनिक बूलियन में FetchDevices (स्ट्रिंग कुंजी) शामिल है

map<string, string> fetch_devices = 7;

सार्वजनिक बूलियन बराबर (ऑब्जेक्ट obj)

सार्वजनिक स्थैतिक कॉल करने योग्य विकल्प getDefaultInstance ()

सार्वजनिक कॉल करने योग्य विकल्प getDefaultInstanceForType ()

सार्वजनिक स्थैतिक अंतिम com.google.protobuf.Descriptors.Descriptor getDescriptor ()

सार्वजनिक स्ट्रिंग getFeed (int सूचकांक) 

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

सार्वजनिक com.google.protobuf.ByteString getFeedBytes (int अनुक्रमणिका) 

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

सार्वजनिक पूर्णांक getFeedCount () 

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

सार्वजनिक मानचित्र<स्ट्रिंग, स्ट्रिंग> getFeedDevices ()

इसके बजाय getFeedDevicesMap() उपयोग करें।

सार्वजनिक 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;

सार्वजनिक मानचित्र<स्ट्रिंग, स्ट्रिंग> 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;

सार्वजनिक स्ट्रिंग getFeedDevicesOrDefault (स्ट्रिंग कुंजी, स्ट्रिंग 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;

सार्वजनिक स्ट्रिंग getFeedDevicesOrThrow (स्ट्रिंग कुंजी) 

 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;

सार्वजनिक com.google.protobuf.ProtocolStringList getFeedList () 

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

सार्वजनिक स्ट्रिंग getFetch (int अनुक्रमणिका) 

 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;

सार्वजनिक com.google.protobuf.ByteString getFetchBytes (int अनुक्रमणिका) 

 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;

सार्वजनिक 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;

सार्वजनिक मानचित्र<स्ट्रिंग, स्ट्रिंग> getFetchDevices ()

इसके बजाय getFetchDevicesMap() उपयोग करें।

सार्वजनिक int getFetchDevicesCount ()

map<string, string> fetch_devices = 7;

सार्वजनिक मानचित्र<स्ट्रिंग, स्ट्रिंग> getFetchDevicesMap ()

map<string, string> fetch_devices = 7;

सार्वजनिक स्ट्रिंग getFetchDevicesOrDefault (स्ट्रिंग कुंजी, स्ट्रिंग defaultValue)

map<string, string> fetch_devices = 7;

सार्वजनिक स्ट्रिंग getFetchDevicesOrThrow (स्ट्रिंग कुंजी)

map<string, string> fetch_devices = 7;

सार्वजनिक 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;

सार्वजनिक बूलियन 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;

जनता getParserForType ()

सार्वजनिक RunOptions getRunOptions () 

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

सार्वजनिक RunOptionsOrBuilder getRunOptionsOrBuilder () 

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

सार्वजनिक int getSerializedSize ()

सार्वजनिक स्ट्रिंग getTarget (int सूचकांक) 

 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;

सार्वजनिक com.google.protobuf.ByteString getTargetBytes (int अनुक्रमणिका) 

 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;

सार्वजनिक पूर्णांक 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;

सार्वजनिक 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;

सार्वजनिक TensorConnection getTensorConnection (int अनुक्रमणिका) 

 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;

सार्वजनिक 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;

सार्वजनिक सूची < 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;

सार्वजनिक TensorConnectionOrBuilder getTensorConnectionOrBuilder (int अनुक्रमणिका) 

 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;

सार्वजनिक सूची<? TensorConnectionOrBuilder > getTensorConnectionOrBuilderList () का विस्तार करता है 

 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;

सार्वजनिक अंतिम com.google.protobuf.UnknownFieldSet getUnknownFields ()

सार्वजनिक बूलियन hasRunOptions () 

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

सार्वजनिक पूर्णांक हैशकोड ()

सार्वजनिक अंतिम बूलियन आरंभीकृत है ()

सार्वजनिक स्थैतिक CallableOptions.Builder newBuilder ()

सार्वजनिक स्थैतिक CallableOptions.Builder newBuilder ( CallableOptions प्रोटोटाइप)

सार्वजनिक CallableOptions.Builder newBuilderForType ()

सार्वजनिक स्थैतिक CallableOptions parseDelimitedFrom (इनपुटस्ट्रीम इनपुट)

फेंकता
आईओएक्सेप्शन

सार्वजनिक स्थैतिक कॉल करने योग्य विकल्प पार्सडिलीमिटेडफ्रॉम (इनपुटस्ट्रीम इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता
आईओएक्सेप्शन

सार्वजनिक स्थैतिक कॉल करने योग्य विकल्प पार्सफ्रॉम (बाइटबफ़र डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता
अमान्यप्रोटोकॉलबफ़रएक्सेप्शन

सार्वजनिक स्थैतिक कॉल करने योग्य विकल्प पार्सफ्रॉम (com.google.protobuf.CodedInputStream इनपुट)

फेंकता
आईओएक्सेप्शन

सार्वजनिक स्थैतिक कॉल करने योग्य विकल्प पार्सफ्रॉम (बाइट[] डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता
अमान्यप्रोटोकॉलबफ़रएक्सेप्शन

सार्वजनिक स्थैतिक कॉल करने योग्य विकल्प पार्सफ्रॉम (बाइटबफ़र डेटा)

फेंकता
अमान्यप्रोटोकॉलबफ़रएक्सेप्शन

सार्वजनिक स्थैतिक कॉल करने योग्य विकल्प पार्सफ्रॉम (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता
आईओएक्सेप्शन

सार्वजनिक स्थैतिक कॉल करने योग्य विकल्प पार्सफ्रॉम (com.google.protobuf.ByteString डेटा)

फेंकता
अमान्यप्रोटोकॉलबफ़रएक्सेप्शन

सार्वजनिक स्थैतिक कॉल करने योग्य विकल्प पार्सफ्रॉम (इनपुटस्ट्रीम इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता
आईओएक्सेप्शन

सार्वजनिक स्थैतिक कॉल करने योग्य विकल्प पार्सफ्रॉम (com.google.protobuf.ByteString डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता
अमान्यप्रोटोकॉलबफ़रएक्सेप्शन

सार्वजनिक स्थैतिक पार्सर ()

सार्वजनिक CallableOptions.Builder toBuilder ()

सार्वजनिक शून्य राइटटू (com.google.protobuf.CodedOutputStream आउटपुट)

फेंकता
आईओएक्सेप्शन