CallableOptions.Builder

পাবলিক স্ট্যাটিক ফাইনাল ক্লাস CallableOptions.Builder

 Defines a subgraph in another `GraphDef` as a set of feed points and nodes
 to be fetched or executed.
 Compare with the arguments to `Session::Run()`.
Protobuf টাইপ tensorflow.CallableOptions

পাবলিক পদ্ধতি

Callable Options.Builder
addAllFeed (Iterable<String> মান) 
 Tensors to be fed in the callable.
Callable Options.Builder
addAllFetch (Iterable<String> মান) 
 Fetches.
Callable Options.Builder
addAllTarget (Iterable<String> মান) 
 Target Nodes.
Callable Options.Builder
addAllTensorConnection (Iterable<? প্রসারিত করে TensorConnection > মান) 
 Tensors to be connected in the callable.
Callable Options.Builder
addFeed (স্ট্রিং মান) 
 Tensors to be fed in the callable.
Callable Options.Builder
addFeedBytes (com.google.protobuf.ByteString মান) 
 Tensors to be fed in the callable.
Callable Options.Builder
addFetch (স্ট্রিং মান) 
 Fetches.
Callable Options.Builder
addFetchBytes (com.google.protobuf.ByteString মান) 
 Fetches.
Callable Options.Builder
addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor ক্ষেত্র, বস্তুর মান)
Callable Options.Builder
addTarget (স্ট্রিং মান) 
 Target Nodes.
Callable Options.Builder
addTargetBytes (com.google.protobuf.ByteString মান) 
 Target Nodes.
Callable Options.Builder
addTensorConnection (int সূচক, TensorConnection মান) 
 Tensors to be connected in the callable.
Callable Options.Builder
addTensorConnection (int index, TensorConnection.Builder builderForValue) 
 Tensors to be connected in the callable.
Callable Options.Builder
addTensorConnection ( টেনসরসংযোগ মান) 
 Tensors to be connected in the callable.
Callable Options.Builder
addTensorConnection ( TensorConnection.Builder builderForValue) 
 Tensors to be connected in the callable.
TensorConnection.Builder
addTensorConnectionBuilder () 
 Tensors to be connected in the callable.
TensorConnection.Builder
addTensorConnectionBuilder (int সূচক) 
 Tensors to be connected in the callable.
কলযোগ্য বিকল্প
নির্মাণ ()
কলযোগ্য বিকল্প
বিল্ড আংশিক ()
Callable Options.Builder
পরিষ্কার ()
Callable Options.Builder
ক্লিয়ারফিড () 
 Tensors to be fed in the callable.
Callable Options.Builder
clearFeedDevices ()
Callable Options.Builder
clearFetch () 
 Fetches.
Callable Options.Builder
clearFetchDevices ()
Callable Options.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.
Callable Options.Builder
clearField (com.google.protobuf.Descriptors.FieldDescriptor ক্ষেত্র)
Callable Options.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
Callable Options.Builder
clearRunOptions () 
 Options that will be applied to each run.
Callable Options.Builder
পরিষ্কার লক্ষ্য () 
 Target Nodes.
Callable Options.Builder
পরিষ্কার টেনসর সংযোগ () 
 Tensors to be connected in the callable.
Callable Options.Builder
ক্লোন ()
বুলিয়ান
FeedDevices রয়েছে (স্ট্রিং কী) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
বুলিয়ান
FetchDevices রয়েছে (স্ট্রিং কী)
map<string, string> fetch_devices = 7;
কলযোগ্য বিকল্প
getDefaultInstanceForType ()
চূড়ান্ত স্ট্যাটিক com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
স্ট্রিং
getFeed (int সূচক) 
 Tensors to be fed in the callable.
com.google.protobuf.ByteString
getFeedBytes (int সূচক) 
 Tensors to be fed in the callable.
int
getFeedCount () 
 Tensors to be fed in the callable.
মানচিত্র <স্ট্রিং, স্ট্রিং>
getFeedDevices ()
পরিবর্তে getFeedDevicesMap() ব্যবহার করুন।
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.
মানচিত্র <স্ট্রিং, স্ট্রিং>
getFeedDevicesMap () 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
স্ট্রিং
getFeedDevicesOrDefault (স্ট্রিং কী, স্ট্রিং ডিফল্ট মান) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
স্ট্রিং
getFeedDevicesOrThrow (স্ট্রিং কী) 
 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.
স্ট্রিং
getFetch (int সূচক) 
 Fetches.
com.google.protobuf.ByteString
getFetchBytes (int সূচক) 
 Fetches.
int
getFetchCount () 
 Fetches.
মানচিত্র <স্ট্রিং, স্ট্রিং>
getFetchDevices ()
পরিবর্তে getFetchDevicesMap() ব্যবহার করুন।
int
getFetchDevicesCount ()
map<string, string> fetch_devices = 7;
মানচিত্র <স্ট্রিং, স্ট্রিং>
getFetchDevicesMap ()
map<string, string> fetch_devices = 7;
স্ট্রিং
getFetchDevicesOrDefault (স্ট্রিং কী, স্ট্রিং ডিফল্ট মান)
map<string, string> fetch_devices = 7;
স্ট্রিং
getFetchDevicesOrThrow (স্ট্রিং কী)
map<string, string> fetch_devices = 7;
com.google.protobuf.ProtocolStringList
getFetchList () 
 Fetches.
বুলিয়ান
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.
মানচিত্র <স্ট্রিং, স্ট্রিং>
getMutableFeedDevices ()
পরিবর্তে বিকল্প মিউটেশন অ্যাক্সেসর ব্যবহার করুন।
মানচিত্র <স্ট্রিং, স্ট্রিং>
getMutableFetchDevices ()
পরিবর্তে বিকল্প মিউটেশন অ্যাক্সেসর ব্যবহার করুন।
রান অপশন
getRunOptions () 
 Options that will be applied to each run.
RunOptions.Builder
getRunOptionsBuilder () 
 Options that will be applied to each run.
RunOptionsOrBuilder
getRunOptionsOrBuilder () 
 Options that will be applied to each run.
স্ট্রিং
getTarget (int সূচক) 
 Target Nodes.
com.google.protobuf.ByteString
getTargetBytes (int সূচক) 
 Target Nodes.
int
getTargetCount () 
 Target Nodes.
com.google.protobuf.ProtocolStringList
GetTargetList () 
 Target Nodes.
টেনসর সংযোগ
getTensorConnection (int সূচক) 
 Tensors to be connected in the callable.
TensorConnection.Builder
getTensorConnectionBuilder (int সূচক) 
 Tensors to be connected in the callable.
তালিকা< TensorConnection.Builder >
GetTensorConnectionBuilderList () 
 Tensors to be connected in the callable.
int
getTensorConnectionCount () 
 Tensors to be connected in the callable.
তালিকা< টেনসর সংযোগ >
getTensorConnectionList () 
 Tensors to be connected in the callable.
TensorConnectionOrBuilder
getTensorConnectionOrBuilder (int সূচক) 
 Tensors to be connected in the callable.
তালিকা <? TensorConnectionOrBuilder > প্রসারিত করে
getTensorConnectionOrBuilderList () 
 Tensors to be connected in the callable.
বুলিয়ান
hasRunOptions () 
 Options that will be applied to each run.
চূড়ান্ত বুলিয়ান
সূচনা করা হয়েছে ()
Callable Options.Builder
mergeFrom (com.google.protobuf.অন্যান্য বার্তা পাঠান)
Callable Options.Builder
mergeFrom (com.google.protobuf.CodedInputStream ইনপুট, com.google.protobuf.ExtensionRegistryLite এক্সটেনশন রেজিস্ট্রি)
Callable Options.Builder
mergeRunOptions ( RunOptions মান) 
 Options that will be applied to each run.
চূড়ান্ত কলযোগ্য বিকল্প। নির্মাতা
একত্রিত করুন অজানাক্ষেত্র (com.google.protobuf.UnknownFieldSet অজানাক্ষেত্র)
Callable Options.Builder
putAllFeedDevices (মানচিত্র<স্ট্রিং, স্ট্রিং> মান) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
Callable Options.Builder
putAllFetchDevices (মানচিত্র<স্ট্রিং, স্ট্রিং> মান)
map<string, string> fetch_devices = 7;
Callable Options.Builder
putFeedDevices (স্ট্রিং কী, স্ট্রিং মান) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
Callable Options.Builder
putFetchDevices (স্ট্রিং কী, স্ট্রিং মান)
map<string, string> fetch_devices = 7;
Callable Options.Builder
RemoveFeedDevices (স্ট্রিং কী) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
Callable Options.Builder
RemoveFetchDevices (স্ট্রিং কী)
map<string, string> fetch_devices = 7;
Callable Options.Builder
রিমুভ টেনসর কানেকশন (int সূচক) 
 Tensors to be connected in the callable.
Callable Options.Builder
setFeed (int সূচক, স্ট্রিং মান) 
 Tensors to be fed in the callable.
Callable Options.Builder
setFetch (int সূচক, স্ট্রিং মান) 
 Fetches.
Callable Options.Builder
setFetchSkipSync (বুলিয়ান মান) 
 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.
Callable Options.Builder
setField (com.google.protobuf.Descriptors.FieldDescriptor ক্ষেত্র, বস্তুর মান)
Callable Options.Builder
setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor ক্ষেত্র, int সূচক, অবজেক্ট মান)
Callable Options.Builder
setRunOptions ( RunOptions.Builder builderForValue) 
 Options that will be applied to each run.
Callable Options.Builder
setRunOptions ( RunOptions মান) 
 Options that will be applied to each run.
Callable Options.Builder
setTarget (int সূচক, স্ট্রিং মান) 
 Target Nodes.
Callable Options.Builder
setTensorConnection (int index, TensorConnection value) 
 Tensors to be connected in the callable.
Callable Options.Builder
setTensorConnection (int index, TensorConnection.Builder builderForValue) 
 Tensors to be connected in the callable.
চূড়ান্ত কলযোগ্য বিকল্প। নির্মাতা
সেটUnknownFields (com.google.protobuf.UnknownFieldসেট অজানাফিল্ড)

উত্তরাধিকারসূত্রে প্রাপ্ত পদ্ধতি

পাবলিক পদ্ধতি

সর্বজনীন CallableOptions.Builder addAllFeed (Iterable<String> মান) 

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

public CallableOptions.Builder addAllFetch (Iterable<String> মান) 

 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;

সর্বজনীন CallableOptions.Builder addAllTarget (Iterable<String> মান) 

 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;

সর্বজনীন CallableOptions.Builder addAllTensorConnection (Iterable<? প্রসারিত করে TensorConnection > মান) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public CallableOptions.Builder addFeed (স্ট্রিং মান) 

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

সর্বজনীন CallableOptions.Builder addFeedBytes (com.google.protobuf.ByteString মান) 

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

public CallableOptions.Builder addFetch (স্ট্রিং মান) 

 Fetches. A list of tensor names. The caller of the callable expects a
 tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
 order of specified fetches does not change the execution order.
repeated string fetch = 2;

public CallableOptions.Builder addFetchBytes (com.google.protobuf.ByteString মান) 

 Fetches. A list of tensor names. The caller of the callable expects a
 tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
 order of specified fetches does not change the execution order.
repeated string fetch = 2;

public CallableOptions.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor ক্ষেত্র, বস্তুর মান)

সর্বজনীন CallableOptions.Builder addTarget (স্ট্রিং মান) 

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
repeated string target = 3;

public CallableOptions.Builder addTargetBytes (com.google.protobuf.ByteString মান) 

 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;

সর্বজনীন CallableOptions.Builder addTensorConnection (int index, TensorConnection value) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

সর্বজনীন 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;

সর্বজনীন CallableOptions.Builder addTensorConnection ( TensorConnection value) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

সর্বজনীন 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;

সর্বজনীন 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;

সর্বজনীন TensorConnection.Builder addTensorConnectionBuilder (int index) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

সর্বজনীন কলযোগ্য বিকল্পগুলি বিল্ড ()

সর্বজনীন কলযোগ্য বিকল্পগুলি বিল্ড আংশিক ()

সর্বজনীন কলযোগ্য বিকল্প। বিল্ডার পরিষ্কার ()

পাবলিক কলেবল অপশন। বিল্ডার ক্লিয়ারফিড () 

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

সর্বজনীন কলযোগ্য বিকল্প। নির্মাতা ক্লিয়ারফিড ডিভাইস ()

সর্বজনীন কলযোগ্য বিকল্প। বিল্ডার ক্লিয়ারফেচ () 

 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;

সর্বজনীন কলযোগ্য বিকল্প। বিল্ডার clearFetchDevices ()

সর্বজনীন CallableOptions.Builder clearFetchSkipSync () 

 By default, RunCallable() will synchronize the GPU stream before returning
 fetched tensors on a GPU device, to ensure that the values in those tensors
 have been produced. This simplifies interacting with the tensors, but
 potentially incurs a performance hit.
 If this options is set to true, the caller is responsible for ensuring
 that the values in the fetched tensors have been produced before they are
 used. The caller can do this by invoking `Device::Sync()` on the underlying
 device(s), or by feeding the tensors back to the same Session using
 `feed_devices` with the same corresponding device name.
bool fetch_skip_sync = 8;

public CallableOptions.Builder clearField (com.google.protobuf.Descriptors.FieldDescriptor ক্ষেত্র)

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

সর্বজনীন CallableOptions.Builder clearRunOptions () 

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

সর্বজনীন কলেবল অপশন। বিল্ডার ক্লিয়ার টার্গেট () 

 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;

সর্বজনীন কলেবল বিকল্প। বিল্ডার ক্লিয়ার টেনসর সংযোগ () 

 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;

সর্বজনীন কলযোগ্য বিকল্প। বিল্ডার ক্লোন ()

পাবলিক বুলিয়ানে ফিডডিভাইস রয়েছে (স্ট্রিং কী) 

 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;

পাবলিক বুলিয়ানে রয়েছে ফেচডিভাইস (স্ট্রিং কী)

map<string, string> fetch_devices = 7;

সর্বজনীন কলযোগ্য বিকল্পগুলি ডিফল্ট ইনস্ট্যান্সফরটাইপ ()

পাবলিক স্ট্যাটিক ফাইনাল com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

পাবলিক স্ট্রিং getFeed (int সূচক) 

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

সর্বজনীন com.google.protobuf.ByteString getFeedBytes (int index) 

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

পাবলিক int getFeedCount () 

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

সর্বজনীন মানচিত্র<স্ট্রিং, স্ট্রিং> getFeedDevices ()

পরিবর্তে getFeedDevicesMap() ব্যবহার করুন।

পাবলিক 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;

সর্বজনীন মানচিত্র<স্ট্রিং, স্ট্রিং> 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;

সর্বজনীন স্ট্রিং getFeedDevicesOrDefault (স্ট্রিং কী, স্ট্রিং ডিফল্ট মান) 

 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;

পাবলিক স্ট্রিং getFeedDevicesOrThrow (স্ট্রিং কী) 

 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;

সর্বজনীন com.google.protobuf.ProtocolStringList getFeedList () 

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

পাবলিক স্ট্রিং getFetch (int সূচক) 

 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;

সর্বজনীন com.google.protobuf.ByteString getFetchBytes (int index) 

 Fetches. A list of tensor names. The caller of the callable expects a
 tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
 order of specified fetches does not change the execution order.
repeated string fetch = 2;

পাবলিক 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;

সর্বজনীন মানচিত্র<স্ট্রিং, স্ট্রিং> getFetchDevices ()

পরিবর্তে getFetchDevicesMap() ব্যবহার করুন।

পাবলিক int getFetchDevicesCount ()

map<string, string> fetch_devices = 7;

সর্বজনীন মানচিত্র<স্ট্রিং, স্ট্রিং> getFetchDevicesMap ()

map<string, string> fetch_devices = 7;

সর্বজনীন স্ট্রিং getFetchDevicesOrDefault (স্ট্রিং কী, স্ট্রিং ডিফল্ট মান)

map<string, string> fetch_devices = 7;

সর্বজনীন স্ট্রিং getFetchDevicesOrThrow (স্ট্রিং কী)

map<string, string> fetch_devices = 7;

সর্বজনীন 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;

পাবলিক বুলিয়ান 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;

সর্বজনীন মানচিত্র<স্ট্রিং, স্ট্রিং> getMutableFeedDevices ()

পরিবর্তে বিকল্প মিউটেশন অ্যাক্সেসর ব্যবহার করুন।

সর্বজনীন মানচিত্র<স্ট্রিং, স্ট্রিং> getMutableFetchDevices ()

পরিবর্তে বিকল্প মিউটেশন অ্যাক্সেসর ব্যবহার করুন।

সর্বজনীন RunOptions getRunOptions () 

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

সর্বজনীন RunOptions.Builder getRunOptionsBuilder () 

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

সর্বজনীন RunOptionsOrBuilder getRunOptionsOrBuilder () 

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

পাবলিক স্ট্রিং getTarget (int সূচক) 

 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;

সর্বজনীন com.google.protobuf.ByteString getTargetBytes (int index) 

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
repeated string target = 3;

পাবলিক int getTargetCount () 

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
repeated string target = 3;

সর্বজনীন 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;

পাবলিক টেনসরকানেকশন getTensorConnection (int সূচক) 

 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;

সর্বজনীন TensorConnection.Builder getTensorConnectionBuilder (int index) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

সর্বজনীন তালিকা< 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;

পাবলিক 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;

সর্বজনীন তালিকা< 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;

সর্বজনীন TensorConnectionOrBuilder getTensorConnectionOrBuilder (int সূচক) 

 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;

সর্বজনীন তালিকা <? TensorConnectionOrBuilder > getTensorConnectionOrBuilderList () প্রসারিত করে 

 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;

পাবলিক বুলিয়ান hasRunOptions () 

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

সর্বজনীন চূড়ান্ত বুলিয়ান শুরু হয়েছে ()

সর্বজনীন CallableOptions.Builder mergeFrom (com.google.protobuf.অন্যান্য বার্তা)

সর্বজনীন CallableOptions.Builder mergeFrom (com.google.protobuf.CodedInputStream ইনপুট, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

নিক্ষেপ করে
IO ব্যতিক্রম

সর্বজনীন CallableOptions.Builder mergeRunOptions ( RunOptions মান) 

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

সর্বজনীন চূড়ান্ত CallableOptions.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet অজানা ক্ষেত্র)

সর্বজনীন কলেবল অপশন। বিল্ডার পুট অলফিড ডিভাইস (মানচিত্র<স্ট্রিং, স্ট্রিং> মান) 

 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;

সর্বজনীন CallableOptions.Builder putAllFetchDevices (মানচিত্র<স্ট্রিং, স্ট্রিং> মান)

map<string, string> fetch_devices = 7;

public CallableOptions.Builder putFeedDevices (স্ট্রিং কী, স্ট্রিং মান) 

 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
 The options below allow changing that - feeding tensors backed by
 device memory, or returning tensors that are backed by device memory.
 The maps below map the name of a feed/fetch tensor (which appears in
 'feed' or 'fetch' fields above), to the fully qualified name of the device
 owning the memory backing the contents of the tensor.
 For example, creating a callable with the following options:
 CallableOptions {
   feed: "a:0"
   feed: "b:0"
   fetch: "x:0"
   fetch: "y:0"
   feed_devices: {
     "a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
   }
   fetch_devices: {
     "y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
  }
 }
 means that the Callable expects:
 - The first argument ("a:0") is a Tensor backed by GPU memory.
 - The second argument ("b:0") is a Tensor backed by host memory.
 and of its return values:
 - The first output ("x:0") will be backed by host memory.
 - The second output ("y:0") will be backed by GPU memory.
 FEEDS:
 It is the responsibility of the caller to ensure that the memory of the fed
 tensors will be correctly initialized and synchronized before it is
 accessed by operations executed during the call to Session::RunCallable().
 This is typically ensured by using the TensorFlow memory allocators
 (Device::GetAllocator()) to create the Tensor to be fed.
 Alternatively, for CUDA-enabled GPU devices, this typically means that the
 operation that produced the contents of the tensor has completed, i.e., the
 CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
 cuStreamSynchronize()).
map<string, string> feed_devices = 6;

public CallableOptions.Builder putFetchDevices (স্ট্রিং কী, স্ট্রিং মান)

map<string, string> fetch_devices = 7;

পাবলিক কলেবল অপশন। বিল্ডার রিমুভফিড ডিভাইস (স্ট্রিং কী) 

 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;

সর্বজনীন CallableOptions.Builder removeFetchDevices (স্ট্রিং কী)

map<string, string> fetch_devices = 7;

সর্বজনীন CallableOptions.Builder removeTensorConnection (int index) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public CallableOptions.Builder setFeed (int index, String value) 

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

public CallableOptions.Builder setFetch (int index, String value) 

 Fetches. A list of tensor names. The caller of the callable expects a
 tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
 order of specified fetches does not change the execution order.
repeated string fetch = 2;

সর্বজনীন CallableOptions.Builder setFetchSkipSync (বুলিয়ান মান) 

 By default, RunCallable() will synchronize the GPU stream before returning
 fetched tensors on a GPU device, to ensure that the values in those tensors
 have been produced. This simplifies interacting with the tensors, but
 potentially incurs a performance hit.
 If this options is set to true, the caller is responsible for ensuring
 that the values in the fetched tensors have been produced before they are
 used. The caller can do this by invoking `Device::Sync()` on the underlying
 device(s), or by feeding the tensors back to the same Session using
 `feed_devices` with the same corresponding device name.
bool fetch_skip_sync = 8;

public CallableOptions.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor ক্ষেত্র, বস্তুর মান)

সর্বজনীন CallableOptions.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor ক্ষেত্র, int সূচক, অবজেক্ট মান)

সর্বজনীন CallableOptions.Builder setRunOptions ( RunOptions.Builder builderForValue) 

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

সর্বজনীন CallableOptions.Builder setRunOptions ( RunOptions মান) 

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

সর্বজনীন CallableOptions.Builder setTarget (int index, String value) 

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
repeated string target = 3;

সর্বজনীন CallableOptions.Builder setTensorConnection (int index, TensorConnection value) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

public CallableOptions.Builder setTensorConnection (int index, TensorConnection.Builder builderForValue) 

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5;

সর্বজনীন চূড়ান্ত CallableOptions.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)