CallableOptions.Builder

सार्वजनिक स्थैतिक अंतिम वर्ग 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()`.
 

प्रोटोबफ़ प्रकार tensorflow.CallableOptions

सार्वजनिक तरीके

कॉल करने योग्य विकल्प.बिल्डर	addAllFeed (इटरेबल<स्ट्रिंग> मान) Tensors to be fed in the callable.
कॉल करने योग्य विकल्प.बिल्डर	addAllFetch (Iterable<String> मान) Fetches.
कॉल करने योग्य विकल्प.बिल्डर	addAllTarget (Iterable<String> मान) Target Nodes.
कॉल करने योग्य विकल्प.बिल्डर	addAllTensorConnection (Iterable<? TensorConnection > मान बढ़ाता है) Tensors to be connected in the callable.
कॉल करने योग्य विकल्प.बिल्डर	addFeed (स्ट्रिंग मान) Tensors to be fed in the callable.
कॉल करने योग्य विकल्प.बिल्डर	addFeedBytes (com.google.protobuf.ByteString मान) Tensors to be fed in the callable.
कॉल करने योग्य विकल्प.बिल्डर	addFetch (स्ट्रिंग मान) Fetches.
कॉल करने योग्य विकल्प.बिल्डर	addFetchBytes (com.google.protobuf.ByteString मान) Fetches.
कॉल करने योग्य विकल्प.बिल्डर	addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)
कॉल करने योग्य विकल्प.बिल्डर	लक्ष्य जोड़ें (स्ट्रिंग मान) Target Nodes.
कॉल करने योग्य विकल्प.बिल्डर	addTargetBytes (com.google.protobuf.ByteString मान) Target Nodes.
कॉल करने योग्य विकल्प.बिल्डर	addTensorConnection (int सूचकांक, TensorConnection मान) Tensors to be connected in the callable.
कॉल करने योग्य विकल्प.बिल्डर	addTensorConnection (int इंडेक्स, TensorConnection.Builder BuilderForValue) Tensors to be connected in the callable.
कॉल करने योग्य विकल्प.बिल्डर	addTensorConnection ( TensorConnection मान) Tensors to be connected in the callable.
कॉल करने योग्य विकल्प.बिल्डर	addTensorConnection ( TensorConnection.Builder BuilderForValue) Tensors to be connected in the callable.
TensorConnection.बिल्डर	addTensorConnectionBuilder () Tensors to be connected in the callable.
TensorConnection.बिल्डर	addTensorConnectionBuilder (int अनुक्रमणिका) Tensors to be connected in the callable.
कॉल करने योग्य विकल्प	निर्माण ()
कॉल करने योग्य विकल्प	बिल्डआंशिक ()
कॉल करने योग्य विकल्प.बिल्डर	स्पष्ट ()
कॉल करने योग्य विकल्प.बिल्डर	स्पष्ट चारा () Tensors to be fed in the callable.
कॉल करने योग्य विकल्प.बिल्डर	क्लियरफ़ीडडिवाइसेस ()
कॉल करने योग्य विकल्प.बिल्डर	क्लीयरफ़ेच () Fetches.
कॉल करने योग्य विकल्प.बिल्डर	क्लियरफ़ेचडिवाइसेस ()
कॉल करने योग्य विकल्प.बिल्डर	क्लियरफ़ेचस्किपसिंक () 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.
कॉल करने योग्य विकल्प.बिल्डर	क्लियरफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड)
कॉल करने योग्य विकल्प.बिल्डर	ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
कॉल करने योग्य विकल्प.बिल्डर	क्लियररनऑप्शंस () Options that will be applied to each run.
कॉल करने योग्य विकल्प.बिल्डर	स्पष्ट लक्ष्य () Target Nodes.
कॉल करने योग्य विकल्प.बिल्डर	क्लीयरटेन्सरकनेक्शन () Tensors to be connected in the callable.
कॉल करने योग्य विकल्प.बिल्डर	क्लोन ()
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;
कॉल करने योग्य विकल्प	getDefaultInstanceForType ()
अंतिम स्थिर com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
डोरी	getFeed (int सूचकांक) Tensors to be fed in the callable.
com.google.protobuf.ByteString	getFeedBytes (इंट इंडेक्स) 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.
मानचित्र<स्ट्रिंग, स्ट्रिंग>	getMutableFeedDevices () इसके बजाय वैकल्पिक उत्परिवर्तन एक्सेसर्स का उपयोग करें।
मानचित्र<स्ट्रिंग, स्ट्रिंग>	getMutableFetchDevices () इसके बजाय वैकल्पिक उत्परिवर्तन एक्सेसर्स का उपयोग करें।
रनविकल्प	getRunOptions () Options that will be applied to each run.
RunOptions.बिल्डर	getRunOptionsBuilder () Options that will be applied to each run.
RunOptionsOrBuilder	getRunOptionsOrBuilder () Options that will be applied to each run.
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.
TensorConnection.बिल्डर	getTensorConnectionBuilder (int अनुक्रमणिका) Tensors to be connected in the callable.
सूची < TensorConnection.Builder >	getTensorConnectionBuilderList () 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.
बूलियन	hasRunOptions () Options that will be applied to each run.
अंतिम बूलियन	प्रारंभ किया गया है ()
कॉल करने योग्य विकल्प.बिल्डर	मर्जफ्रॉम (com.google.protobuf.Message अन्य)
कॉल करने योग्य विकल्प.बिल्डर	मर्जफ्रॉम (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
कॉल करने योग्य विकल्प.बिल्डर	मर्जरनऑप्शन ( रनऑप्शन मान) Options that will be applied to each run.
अंतिम कॉल करने योग्य विकल्प.बिल्डर	मर्जअज्ञातफ़ील्ड्स (com.google.protobuf.UnknownFieldSet अज्ञातफ़ील्ड्स)
कॉल करने योग्य विकल्प.बिल्डर	putAllFeedDevices (मानचित्र<स्ट्रिंग, स्ट्रिंग> मान) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
कॉल करने योग्य विकल्प.बिल्डर	putAllFetchDevices (मानचित्र<स्ट्रिंग, स्ट्रिंग> मान) map<string, string> fetch_devices = 7;
कॉल करने योग्य विकल्प.बिल्डर	putFeedDevices (स्ट्रिंग कुंजी, स्ट्रिंग मान) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
कॉल करने योग्य विकल्प.बिल्डर	putFetchDevices (स्ट्रिंग कुंजी, स्ट्रिंग मान) map<string, string> fetch_devices = 7;
कॉल करने योग्य विकल्प.बिल्डर	रिमूवफ़ीडडिवाइसेस (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.
कॉल करने योग्य विकल्प.बिल्डर	रिमूवफ़ेचडिवाइसेज (स्ट्रिंग कुंजी) map<string, string> fetch_devices = 7;
कॉल करने योग्य विकल्प.बिल्डर	रिमूवटेन्सरकनेक्शन (इंट इंडेक्स) Tensors to be connected in the callable.
कॉल करने योग्य विकल्प.बिल्डर	सेटफ़ीड (इंट इंडेक्स, स्ट्रिंग मान) Tensors to be fed in the callable.
कॉल करने योग्य विकल्प.बिल्डर	setFetch (int सूचकांक, स्ट्रिंग मान) Fetches.
कॉल करने योग्य विकल्प.बिल्डर	setFetchSkipSync (बूलियन मान) 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.
कॉल करने योग्य विकल्प.बिल्डर	सेटफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)
कॉल करने योग्य विकल्प.बिल्डर	setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, इंट इंडेक्स, ऑब्जेक्ट वैल्यू)
कॉल करने योग्य विकल्प.बिल्डर	setRunOptions ( RunOptions.Builder BuilderForValue) Options that will be applied to each run.
कॉल करने योग्य विकल्प.बिल्डर	setRunOptions ( RunOptions मान) Options that will be applied to each run.
कॉल करने योग्य विकल्प.बिल्डर	सेटटार्गेट (इंट इंडेक्स, स्ट्रिंग वैल्यू) Target Nodes.
कॉल करने योग्य विकल्प.बिल्डर	setTensorConnection (int सूचकांक, TensorConnection मान) Tensors to be connected in the callable.
कॉल करने योग्य विकल्प.बिल्डर	setTensorConnection (int इंडेक्स, TensorConnection.Builder BuilderForValue) Tensors to be connected in the callable.
अंतिम कॉल करने योग्य विकल्प.बिल्डर	अज्ञात फ़ील्ड सेट करें (com.google.protobuf. अज्ञात फ़ील्ड सेट अज्ञात फ़ील्ड)

विरासत में मिली विधियाँ

कक्षा java.lang.Object से

बूलियन	बराबर (ऑब्जेक्ट arg0)
अंतिम कक्षा<?>	गेटक्लास ()
int यहाँ	हैश कोड ()
अंतिम शून्य	सूचित करें ()
अंतिम शून्य	सभी को सूचित करें ()
डोरी	स्ट्रिंग ()
अंतिम शून्य	प्रतीक्षा करें (लंबा arg0, int arg1)
अंतिम शून्य	प्रतीक्षा करें (लंबा arg0)
अंतिम शून्य	इंतज़ार ()

इंटरफ़ेस org.tensorflow.proto.framework.CallableOptionsOrBuilder से

अमूर्त 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.
अमूर्त बूलियन	includeFetchDevices (स्ट्रिंग कुंजी) map<string, string> fetch_devices = 7;
सार स्ट्रिंग	getFeed (int सूचकांक) Tensors to be fed in the callable.
सार com.google.protobuf.ByteString	getFeedBytes (इंट इंडेक्स) Tensors to be fed in the callable.
सार इंट	getFeedCount () Tensors to be fed in the callable.
सार मानचित्र<स्ट्रिंग, स्ट्रिंग>	getFeedDevices () इसके बजाय getFeedDevicesMap() उपयोग करें।
सार इंट	getFeedDevicesCount () The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
सार 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.
सार 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.
सार 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.
सार सूची<स्ट्रिंग>	getFeedList () Tensors to be fed in the callable.
सार स्ट्रिंग	getFetch (int सूचकांक) Fetches.
सार com.google.protobuf.ByteString	getFetchBytes (int अनुक्रमणिका) Fetches.
सार इंट	getFetchCount () Fetches.
सार मानचित्र<स्ट्रिंग, स्ट्रिंग>	getFetchDevices () इसके बजाय getFetchDevicesMap() उपयोग करें।
सार इंट	getFetchDevicesCount () map<string, string> fetch_devices = 7;
सार मानचित्र<स्ट्रिंग, स्ट्रिंग>	getFetchDevicesMap () map<string, string> fetch_devices = 7;
सार स्ट्रिंग	getFetchDevicesOrDefault (स्ट्रिंग कुंजी, स्ट्रिंग defaultValue) map<string, string> fetch_devices = 7;
सार स्ट्रिंग	getFetchDevicesOrThrow (स्ट्रिंग कुंजी) map<string, string> fetch_devices = 7;
सार सूची<स्ट्रिंग>	getFetchList () Fetches.
अमूर्त 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.
सार रनऑप्शंस	getRunOptions () Options that will be applied to each run.
सार RunOptionsOrBuilder	getRunOptionsOrBuilder () Options that will be applied to each run.
सार स्ट्रिंग	लक्ष्य प्राप्त करें (int सूचकांक) Target Nodes.
सार com.google.protobuf.ByteString	getTargetBytes (int अनुक्रमणिका) Target Nodes.
सार इंट	लक्ष्यगणना प्राप्त करें () Target Nodes.
सार सूची<स्ट्रिंग>	लक्ष्यसूची प्राप्त करें () Target Nodes.
सार टेन्सरकनेक्शन	getTensorConnection (इंट इंडेक्स) Tensors to be connected in the callable.
सार इंट	getTensorConnectionCount () Tensors to be connected in the callable.
सार सूची< TensorConnection >	getTensorConnectionList () Tensors to be connected in the callable.
सार TensorConnectionOrBuilder	getTensorConnectionOrBuilder (int अनुक्रमणिका) Tensors to be connected in the callable.
सार सूची<? TensorConnectionOrBuilder > का विस्तार करता है	getTensorConnectionOrBuilderList () Tensors to be connected in the callable.
अमूर्त बूलियन	hasRunOptions () Options that will be applied to each run.

सार्वजनिक तरीके

सार्वजनिक CallableOptions.Builder addAllFeed (Iterable<String> मान)

 Tensors to be fed in the callable. Each feed is the name of a tensor.
 

repeated string feed = 1;

सार्वजनिक CallableOptions.Builder addAllFetch (Iterable<String> मान)

 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 CallableOptions.Builder addAllTarget (Iterable<String> मान)

 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 CallableOptions.Builder addAllTensorConnection (Iterable<? TensorConnection > मान बढ़ाता 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 CallableOptions.Builder addFeed (स्ट्रिंग मान)

 Tensors to be fed in the callable. Each feed is the name of a tensor.
 

repeated string feed = 1;

सार्वजनिक CallableOptions.Builder addFeedBytes (com.google.protobuf.ByteString मान)

 Tensors to be fed in the callable. Each feed is the name of a tensor.
 

repeated string feed = 1;

सार्वजनिक CallableOptions.Builder addFetch (स्ट्रिंग मान)

 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 CallableOptions.Builder addFetchBytes (com.google.protobuf.ByteString मान)

 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 CallableOptions.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)

सार्वजनिक CallableOptions.Builder addTarget (स्ट्रिंग मान)

 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 CallableOptions.Builder addTargetBytes (com.google.protobuf.ByteString मान)

 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 CallableOptions.Builder addTensorConnection (इंट इंडेक्स, TensorConnection मान)

 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 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;

सार्वजनिक CallableOptions.Builder addTensorConnection ( TensorConnection मान)

 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 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;

सार्वजनिक 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;

सार्वजनिक TensorConnection.Builder addTensorConnectionBuilder (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 कॉल करने योग्य विकल्प बिल्ड ()

सार्वजनिक कॉल करने योग्य विकल्प बिल्डआंशिक ()

सार्वजनिक CallableOptions.Builder स्पष्ट ()

सार्वजनिक कॉल करने योग्य विकल्प.बिल्डर क्लियरफ़ीड ()

 Tensors to be fed in the callable. Each feed is the name of a tensor.
 

repeated string feed = 1;

सार्वजनिक CallableOptions.Builder ClearFeedDevices ()

सार्वजनिक 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;

सार्वजनिक CallableOptions.Builder ClearFetchDevices ()

सार्वजनिक 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;

सार्वजनिक कॉल करने योग्य विकल्प.बिल्डर क्लियरफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड)

सार्वजनिक CallableOptions.Builder ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

सार्वजनिक CallableOptions.Builder ClearRunOptions ()

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

सार्वजनिक कॉल करने योग्य विकल्प.बिल्डर स्पष्ट लक्ष्य ()

 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 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;

सार्वजनिक CallableOptions.बिल्डर क्लोन ()

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 कॉल करने योग्य विकल्प getDefaultInstanceForType ()

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

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

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;

सार्वजनिक मानचित्र<स्ट्रिंग, स्ट्रिंग> getMutableFeedDevices ()

इसके बजाय वैकल्पिक उत्परिवर्तन एक्सेसर्स का उपयोग करें।

सार्वजनिक मानचित्र<स्ट्रिंग, स्ट्रिंग> getMutableFetchDevices ()

इसके बजाय वैकल्पिक उत्परिवर्तन एक्सेसर्स का उपयोग करें।

सार्वजनिक RunOptions getRunOptions ()

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

सार्वजनिक RunOptions.Builder getRunOptionsBuilder ()

 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 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 TensorConnection.Builder getTensorConnectionBuilder (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 < 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;

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 बूलियन hasRunOptions ()

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

सार्वजनिक अंतिम बूलियन आरंभीकृत है ()

सार्वजनिक CallableOptions.Builder mergeFrom (com.google.protobuf.Message अन्य)

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

फेंकता

आईओ अपवाद

सार्वजनिक CallableOptions.Builder mergeRunOptions ( RunOptions मान)

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

सार्वजनिक अंतिम CallableOptions.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet अज्ञातफील्ड्स)

सार्वजनिक CallableOptions.Builder putAllFeedDevices (मानचित्र<स्ट्रिंग, स्ट्रिंग> मान)

 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 CallableOptions.Builder putAllFetchDevices (मानचित्र<स्ट्रिंग, स्ट्रिंग> मान)

map<string, string> fetch_devices = 7;

सार्वजनिक CallableOptions.Builder putFeedDevices (स्ट्रिंग कुंजी, स्ट्रिंग मान)

 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 CallableOptions.Builder putFetchDevices (स्ट्रिंग कुंजी, स्ट्रिंग मान)

map<string, string> fetch_devices = 7;

सार्वजनिक कॉल करने योग्य विकल्प.बिल्डर रिमूवफ़ीडडिवाइसेस (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 CallableOptions.Builder रिमूवफ़ेचडिवाइसेस (स्ट्रिंग कुंजी)

map<string, string> fetch_devices = 7;

सार्वजनिक कॉल करने योग्य विकल्प। बिल्डर रिमूव टेन्सरकनेक्शन (इंट इंडेक्स)

 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 कॉल करने योग्य विकल्प.बिल्डर सेटफ़ीड (इंट इंडेक्स, स्ट्रिंग मान)

 Tensors to be fed in the callable. Each feed is the name of a tensor.
 

repeated string feed = 1;

सार्वजनिक CallableOptions.Builder setFetch (int अनुक्रमणिका, स्ट्रिंग मान)

 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 CallableOptions.Builder setFetchSkipSync (बूलियन मान)

 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;

सार्वजनिक CallableOptions.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)

सार्वजनिक CallableOptions.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, int अनुक्रमणिका, ऑब्जेक्ट मान)

सार्वजनिक CallableOptions.Builder setRunOptions ( RunOptions.Builder BuilderForValue)

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

सार्वजनिक CallableOptions.Builder setRunOptions ( RunOptions मान)

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

सार्वजनिक CallableOptions.Builder setTarget (int अनुक्रमणिका, स्ट्रिंग मान)

 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 CallableOptions.Builder setTensorConnection (इंट इंडेक्स, TensorConnection मान)

 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 कॉल करने योग्य विकल्प.बिल्डर सेटटेन्सरकनेक्शन (इंट इंडेक्स, टेंसरकनेक्शन.बिल्डर बिल्डरफॉरवैल्यू)

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

,

सार्वजनिक स्थैतिक अंतिम वर्ग 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()`.
 

प्रोटोबफ़ प्रकार tensorflow.CallableOptions

सार्वजनिक तरीके

कॉल करने योग्य विकल्प.बिल्डर	addAllFeed (इटरेबल<स्ट्रिंग> मान) Tensors to be fed in the callable.
कॉल करने योग्य विकल्प.बिल्डर	addAllFetch (Iterable<String> मान) Fetches.
कॉल करने योग्य विकल्प.बिल्डर	addAllTarget (Iterable<String> मान) Target Nodes.
कॉल करने योग्य विकल्प.बिल्डर	addAllTensorConnection (Iterable<? TensorConnection > मान बढ़ाता है) Tensors to be connected in the callable.
कॉल करने योग्य विकल्प.बिल्डर	addFeed (स्ट्रिंग मान) Tensors to be fed in the callable.
कॉल करने योग्य विकल्प.बिल्डर	addFeedBytes (com.google.protobuf.ByteString मान) Tensors to be fed in the callable.
कॉल करने योग्य विकल्प.बिल्डर	addFetch (स्ट्रिंग मान) Fetches.
कॉल करने योग्य विकल्प.बिल्डर	addFetchBytes (com.google.protobuf.ByteString मान) Fetches.
कॉल करने योग्य विकल्प.बिल्डर	addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)
कॉल करने योग्य विकल्प.बिल्डर	लक्ष्य जोड़ें (स्ट्रिंग मान) Target Nodes.
कॉल करने योग्य विकल्प.बिल्डर	addTargetBytes (com.google.protobuf.ByteString मान) Target Nodes.
कॉल करने योग्य विकल्प.बिल्डर	addTensorConnection (int सूचकांक, TensorConnection मान) Tensors to be connected in the callable.
कॉल करने योग्य विकल्प.बिल्डर	addTensorConnection (int इंडेक्स, TensorConnection.Builder BuilderForValue) Tensors to be connected in the callable.
कॉल करने योग्य विकल्प.बिल्डर	addTensorConnection ( TensorConnection मान) Tensors to be connected in the callable.
कॉल करने योग्य विकल्प.बिल्डर	addTensorConnection ( TensorConnection.Builder BuilderForValue) Tensors to be connected in the callable.
TensorConnection.बिल्डर	addTensorConnectionBuilder () Tensors to be connected in the callable.
TensorConnection.बिल्डर	addTensorConnectionBuilder (int अनुक्रमणिका) Tensors to be connected in the callable.
कॉल करने योग्य विकल्प	निर्माण ()
कॉल करने योग्य विकल्प	बिल्डआंशिक ()
कॉल करने योग्य विकल्प.बिल्डर	स्पष्ट ()
कॉल करने योग्य विकल्प.बिल्डर	स्पष्ट चारा () Tensors to be fed in the callable.
कॉल करने योग्य विकल्प.बिल्डर	क्लियरफ़ीडडिवाइसेस ()
कॉल करने योग्य विकल्प.बिल्डर	क्लीयरफ़ेच () Fetches.
कॉल करने योग्य विकल्प.बिल्डर	क्लियरफ़ेचडिवाइसेस ()
कॉल करने योग्य विकल्प.बिल्डर	क्लियरफ़ेचस्किपसिंक () 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.
कॉल करने योग्य विकल्प.बिल्डर	क्लियरफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड)
कॉल करने योग्य विकल्प.बिल्डर	ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
कॉल करने योग्य विकल्प.बिल्डर	क्लियररनऑप्शंस () Options that will be applied to each run.
कॉल करने योग्य विकल्प.बिल्डर	स्पष्ट लक्ष्य () Target Nodes.
कॉल करने योग्य विकल्प.बिल्डर	क्लीयरटेन्सरकनेक्शन () Tensors to be connected in the callable.
कॉल करने योग्य विकल्प.बिल्डर	क्लोन ()
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;
कॉल करने योग्य विकल्प	getDefaultInstanceForType ()
अंतिम स्थिर com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
डोरी	getFeed (int सूचकांक) Tensors to be fed in the callable.
com.google.protobuf.ByteString	getFeedBytes (इंट इंडेक्स) 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.
मानचित्र<स्ट्रिंग, स्ट्रिंग>	getMutableFeedDevices () इसके बजाय वैकल्पिक उत्परिवर्तन एक्सेसर्स का उपयोग करें।
मानचित्र<स्ट्रिंग, स्ट्रिंग>	getMutableFetchDevices () इसके बजाय वैकल्पिक उत्परिवर्तन एक्सेसर्स का उपयोग करें।
रनविकल्प	getRunOptions () Options that will be applied to each run.
RunOptions.बिल्डर	getRunOptionsBuilder () Options that will be applied to each run.
RunOptionsOrBuilder	getRunOptionsOrBuilder () Options that will be applied to each run.
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.
TensorConnection.बिल्डर	getTensorConnectionBuilder (int अनुक्रमणिका) Tensors to be connected in the callable.
सूची < TensorConnection.Builder >	getTensorConnectionBuilderList () 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.
बूलियन	hasRunOptions () Options that will be applied to each run.
अंतिम बूलियन	प्रारंभ किया गया है ()
कॉल करने योग्य विकल्प.बिल्डर	मर्जफ्रॉम (com.google.protobuf.Message अन्य)
कॉल करने योग्य विकल्प.बिल्डर	मर्जफ्रॉम (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
कॉल करने योग्य विकल्प.बिल्डर	मर्जरनऑप्शन ( रनऑप्शन मान) Options that will be applied to each run.
अंतिम कॉल करने योग्य विकल्प.बिल्डर	मर्जअज्ञातफ़ील्ड्स (com.google.protobuf.UnknownFieldSet अज्ञातफ़ील्ड्स)
कॉल करने योग्य विकल्प.बिल्डर	putAllFeedDevices (मानचित्र<स्ट्रिंग, स्ट्रिंग> मान) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
कॉल करने योग्य विकल्प.बिल्डर	putAllFetchDevices (मानचित्र<स्ट्रिंग, स्ट्रिंग> मान) map<string, string> fetch_devices = 7;
कॉल करने योग्य विकल्प.बिल्डर	putFeedDevices (स्ट्रिंग कुंजी, स्ट्रिंग मान) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
कॉल करने योग्य विकल्प.बिल्डर	putFetchDevices (स्ट्रिंग कुंजी, स्ट्रिंग मान) map<string, string> fetch_devices = 7;
कॉल करने योग्य विकल्प.बिल्डर	रिमूवफ़ीडडिवाइसेस (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.
कॉल करने योग्य विकल्प.बिल्डर	रिमूवफ़ेचडिवाइसेस (स्ट्रिंग कुंजी) map<string, string> fetch_devices = 7;
कॉल करने योग्य विकल्प.बिल्डर	रिमूवटेन्सरकनेक्शन (इंट इंडेक्स) Tensors to be connected in the callable.
कॉल करने योग्य विकल्प.बिल्डर	सेटफ़ीड (इंट इंडेक्स, स्ट्रिंग मान) Tensors to be fed in the callable.
कॉल करने योग्य विकल्प.बिल्डर	setFetch (int सूचकांक, स्ट्रिंग मान) Fetches.
कॉल करने योग्य विकल्प.बिल्डर	setFetchSkipSync (बूलियन मान) 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.
कॉल करने योग्य विकल्प.बिल्डर	सेटफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)
कॉल करने योग्य विकल्प.बिल्डर	setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, इंट इंडेक्स, ऑब्जेक्ट वैल्यू)
कॉल करने योग्य विकल्प.बिल्डर	setRunOptions ( RunOptions.Builder BuilderForValue) Options that will be applied to each run.
कॉल करने योग्य विकल्प.बिल्डर	setRunOptions ( RunOptions मान) Options that will be applied to each run.
कॉल करने योग्य विकल्प.बिल्डर	सेटटार्गेट (इंट इंडेक्स, स्ट्रिंग वैल्यू) Target Nodes.
कॉल करने योग्य विकल्प.बिल्डर	setTensorConnection (int सूचकांक, TensorConnection मान) Tensors to be connected in the callable.
कॉल करने योग्य विकल्प.बिल्डर	setTensorConnection (int इंडेक्स, TensorConnection.Builder BuilderForValue) Tensors to be connected in the callable.
अंतिम कॉल करने योग्य विकल्प.बिल्डर	अज्ञात फ़ील्ड सेट करें (com.google.protobuf. अज्ञात फ़ील्ड सेट अज्ञात फ़ील्ड)

विरासत में मिली विधियाँ

कक्षा java.lang.Object से

बूलियन	बराबर (ऑब्जेक्ट arg0)
अंतिम कक्षा<?>	गेटक्लास ()
int यहाँ	हैश कोड ()
अंतिम शून्य	सूचित करें ()
अंतिम शून्य	सभी को सूचित करें ()
डोरी	स्ट्रिंग ()
अंतिम शून्य	प्रतीक्षा करें (लंबा arg0, int arg1)
अंतिम शून्य	प्रतीक्षा करें (लंबा arg0)
अंतिम शून्य	इंतज़ार ()

इंटरफ़ेस org.tensorflow.proto.framework.CallableOptionsOrBuilder से

अमूर्त 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.
अमूर्त बूलियन	includeFetchDevices (स्ट्रिंग कुंजी) map<string, string> fetch_devices = 7;
सार स्ट्रिंग	getFeed (int सूचकांक) Tensors to be fed in the callable.
सार com.google.protobuf.ByteString	getFeedBytes (इंट इंडेक्स) Tensors to be fed in the callable.
सार इंट	getFeedCount () Tensors to be fed in the callable.
सार मानचित्र<स्ट्रिंग, स्ट्रिंग>	getFeedDevices () इसके बजाय getFeedDevicesMap() उपयोग करें।
सार इंट	getFeedDevicesCount () The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
सार 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.
सार 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.
सार 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.
सार सूची<स्ट्रिंग>	getFeedList () Tensors to be fed in the callable.
सार स्ट्रिंग	getFetch (int सूचकांक) Fetches.
सार com.google.protobuf.ByteString	getFetchBytes (int अनुक्रमणिका) Fetches.
सार इंट	getFetchCount () Fetches.
सार मानचित्र<स्ट्रिंग, स्ट्रिंग>	getFetchDevices () इसके बजाय getFetchDevicesMap() उपयोग करें।
सार इंट	getFetchDevicesCount () map<string, string> fetch_devices = 7;
सार मानचित्र<स्ट्रिंग, स्ट्रिंग>	getFetchDevicesMap () map<string, string> fetch_devices = 7;
सार स्ट्रिंग	getFetchDevicesOrDefault (स्ट्रिंग कुंजी, स्ट्रिंग defaultValue) map<string, string> fetch_devices = 7;
सार स्ट्रिंग	getFetchDevicesOrThrow (स्ट्रिंग कुंजी) map<string, string> fetch_devices = 7;
सार सूची<स्ट्रिंग>	getFetchList () Fetches.
अमूर्त 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.
सार रनऑप्शंस	getRunOptions () Options that will be applied to each run.
सार RunOptionsOrBuilder	getRunOptionsOrBuilder () Options that will be applied to each run.
सार स्ट्रिंग	लक्ष्य प्राप्त करें (int सूचकांक) Target Nodes.
सार com.google.protobuf.ByteString	getTargetBytes (int अनुक्रमणिका) Target Nodes.
सार इंट	लक्ष्यगणना प्राप्त करें () Target Nodes.
सार सूची<स्ट्रिंग>	लक्ष्यसूची प्राप्त करें () Target Nodes.
सार टेन्सरकनेक्शन	getTensorConnection (इंट इंडेक्स) Tensors to be connected in the callable.
सार इंट	getTensorConnectionCount () Tensors to be connected in the callable.
सार सूची< TensorConnection >	getTensorConnectionList () Tensors to be connected in the callable.
सार TensorConnectionOrBuilder	getTensorConnectionOrBuilder (int अनुक्रमणिका) Tensors to be connected in the callable.
सार सूची<? TensorConnectionOrBuilder > का विस्तार करता है	getTensorConnectionOrBuilderList () Tensors to be connected in the callable.
अमूर्त बूलियन	hasRunOptions () Options that will be applied to each run.

सार्वजनिक तरीके

सार्वजनिक CallableOptions.Builder addAllFeed (Iterable<String> मान)

 Tensors to be fed in the callable. Each feed is the name of a tensor.
 

repeated string feed = 1;

सार्वजनिक CallableOptions.Builder addAllFetch (Iterable<String> मान)

 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 CallableOptions.Builder addAllTarget (Iterable<String> मान)

 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 CallableOptions.Builder addAllTensorConnection (Iterable<? TensorConnection > मान बढ़ाता 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 CallableOptions.Builder addFeed (स्ट्रिंग मान)

 Tensors to be fed in the callable. Each feed is the name of a tensor.
 

repeated string feed = 1;

सार्वजनिक CallableOptions.Builder addFeedBytes (com.google.protobuf.ByteString मान)

 Tensors to be fed in the callable. Each feed is the name of a tensor.
 

repeated string feed = 1;

सार्वजनिक CallableOptions.Builder addFetch (स्ट्रिंग मान)

 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 CallableOptions.Builder addFetchBytes (com.google.protobuf.ByteString मान)

 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 CallableOptions.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)

सार्वजनिक CallableOptions.Builder addTarget (स्ट्रिंग मान)

 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 CallableOptions.Builder addTargetBytes (com.google.protobuf.ByteString मान)

 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 CallableOptions.Builder addTensorConnection (इंट इंडेक्स, TensorConnection मान)

 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 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;

सार्वजनिक CallableOptions.Builder addTensorConnection ( TensorConnection मान)

 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 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;

सार्वजनिक 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;

सार्वजनिक TensorConnection.Builder addTensorConnectionBuilder (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 कॉल करने योग्य विकल्प बिल्ड ()

सार्वजनिक कॉल करने योग्य विकल्प बिल्डआंशिक ()

सार्वजनिक CallableOptions.Builder स्पष्ट ()

सार्वजनिक कॉल करने योग्य विकल्प.बिल्डर क्लियरफ़ीड ()

 Tensors to be fed in the callable. Each feed is the name of a tensor.
 

repeated string feed = 1;

सार्वजनिक CallableOptions.Builder ClearFeedDevices ()

सार्वजनिक 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;

सार्वजनिक CallableOptions.Builder ClearFetchDevices ()

सार्वजनिक 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;

सार्वजनिक कॉल करने योग्य विकल्प.बिल्डर क्लियरफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड)

सार्वजनिक CallableOptions.Builder ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

सार्वजनिक CallableOptions.Builder ClearRunOptions ()

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

सार्वजनिक कॉल करने योग्य विकल्प.बिल्डर स्पष्ट लक्ष्य ()

 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 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;

सार्वजनिक CallableOptions.बिल्डर क्लोन ()

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 कॉल करने योग्य विकल्प getDefaultInstanceForType ()

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

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

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;

सार्वजनिक मानचित्र<स्ट्रिंग, स्ट्रिंग> getMutableFeedDevices ()

इसके बजाय वैकल्पिक उत्परिवर्तन एक्सेसर्स का उपयोग करें।

सार्वजनिक मानचित्र<स्ट्रिंग, स्ट्रिंग> getMutableFetchDevices ()

इसके बजाय वैकल्पिक उत्परिवर्तन एक्सेसर्स का उपयोग करें।

सार्वजनिक RunOptions getRunOptions ()

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

सार्वजनिक RunOptions.Builder getRunOptionsBuilder ()

 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 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 TensorConnection.Builder getTensorConnectionBuilder (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 < 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;

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 बूलियन hasRunOptions ()

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

सार्वजनिक अंतिम बूलियन आरंभीकृत है ()

सार्वजनिक CallableOptions.Builder mergeFrom (com.google.protobuf.Message अन्य)

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

फेंकता

आईओ अपवाद

सार्वजनिक CallableOptions.Builder mergeRunOptions ( RunOptions मान)

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

सार्वजनिक अंतिम CallableOptions.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet अज्ञातफील्ड्स)

सार्वजनिक CallableOptions.Builder putAllFeedDevices (मानचित्र<स्ट्रिंग, स्ट्रिंग> मान)

 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 CallableOptions.Builder putAllFetchDevices (मानचित्र<स्ट्रिंग, स्ट्रिंग> मान)

map<string, string> fetch_devices = 7;

सार्वजनिक CallableOptions.Builder putFeedDevices (स्ट्रिंग कुंजी, स्ट्रिंग मान)

 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 CallableOptions.Builder putFetchDevices (स्ट्रिंग कुंजी, स्ट्रिंग मान)

map<string, string> fetch_devices = 7;

सार्वजनिक कॉल करने योग्य विकल्प.बिल्डर रिमूवफ़ीडडिवाइसेस (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 CallableOptions.Builder रिमूवफ़ेचडिवाइसेस (स्ट्रिंग कुंजी)

map<string, string> fetch_devices = 7;

सार्वजनिक कॉल करने योग्य विकल्प। बिल्डर रिमूव टेन्सरकनेक्शन (इंट इंडेक्स)

 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 कॉल करने योग्य विकल्प.बिल्डर सेटफ़ीड (इंट इंडेक्स, स्ट्रिंग मान)

 Tensors to be fed in the callable. Each feed is the name of a tensor.
 

repeated string feed = 1;

सार्वजनिक CallableOptions.Builder setFetch (int अनुक्रमणिका, स्ट्रिंग मान)

 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 CallableOptions.Builder setFetchSkipSync (बूलियन मान)

 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;

सार्वजनिक CallableOptions.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)

सार्वजनिक CallableOptions.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, int अनुक्रमणिका, ऑब्जेक्ट मान)

सार्वजनिक CallableOptions.Builder setRunOptions ( RunOptions.Builder BuilderForValue)

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

सार्वजनिक CallableOptions.Builder setRunOptions ( RunOptions मान)

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

सार्वजनिक CallableOptions.Builder setTarget (int अनुक्रमणिका, स्ट्रिंग मान)

 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 CallableOptions.Builder setTensorConnection (इंट इंडेक्स, TensorConnection मान)

 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 कॉल करने योग्य विकल्प.बिल्डर सेटटेन्सरकनेक्शन (इंट इंडेक्स, टेंसरकनेक्शन.बिल्डर बिल्डरफॉरवैल्यू)

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