CallableOptions.Builder

CallableOptions.Builder คลาสสุดท้ายแบบคงที่สาธารณะ

 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 ประเภท tensorflow.CallableOptions

วิธีการสาธารณะ

CallableOptions.ตัวสร้าง	addAllFeed (ค่า <String> ที่สามารถทำซ้ำได้) Tensors to be fed in the callable.
CallableOptions.ตัวสร้าง	addAllFetch (ค่า Iterable<String>) Fetches.
CallableOptions.ตัวสร้าง	addAllTarget (ค่า Iterable<String>) Target Nodes.
CallableOptions.ตัวสร้าง	addAllTensorConnection (Iterable<? ขยาย TensorConnection > ค่า) Tensors to be connected in the callable.
CallableOptions.ตัวสร้าง	addFeed (ค่าสตริง) Tensors to be fed in the callable.
CallableOptions.ตัวสร้าง	addFeedBytes (ค่า com.google.protobuf.ByteString) Tensors to be fed in the callable.
CallableOptions.ตัวสร้าง	addFetch (ค่าสตริง) Fetches.
CallableOptions.ตัวสร้าง	addFetchBytes (ค่า com.google.protobuf.ByteString) Fetches.
CallableOptions.ตัวสร้าง	addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor ช่อง ค่าอ็อบเจ็กต์)
CallableOptions.ตัวสร้าง	addTarget (ค่าสตริง) Target Nodes.
CallableOptions.ตัวสร้าง	addTargetBytes (ค่า com.google.protobuf.ByteString) Target Nodes.
CallableOptions.ตัวสร้าง	addTensorConnection (ดัชนี int, ค่า TensorConnection ) Tensors to be connected in the callable.
CallableOptions.ตัวสร้าง	addTensorConnection (ดัชนี int, TensorConnection.Builder builderForValue) Tensors to be connected in the callable.
CallableOptions.ตัวสร้าง	addTensorConnection (ค่า TensorConnection ) Tensors to be connected in the callable.
CallableOptions.ตัวสร้าง	addTensorConnection ( TensorConnection.Builder builderForValue) Tensors to be connected in the callable.
TensorConnection.Builder	addTensorConnectionBuilder () Tensors to be connected in the callable.
TensorConnection.Builder	addTensorConnectionBuilder (ดัชนี int) Tensors to be connected in the callable.
CallableOptions	สร้าง ()
CallableOptions	สร้างบางส่วน ()
CallableOptions.ตัวสร้าง	ชัดเจน ()
CallableOptions.ตัวสร้าง	ล้างฟีด () Tensors to be fed in the callable.
CallableOptions.ตัวสร้าง	ล้างอุปกรณ์ฟีด ()
CallableOptions.ตัวสร้าง	ล้างข้อมูล () Fetches.
CallableOptions.ตัวสร้าง	clearFetchDevices ()
CallableOptions.ตัวสร้าง	clearFetchSkipSync () By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
CallableOptions.ตัวสร้าง	clearField (ฟิลด์ com.google.protobuf.Descriptors.FieldDescriptor)
CallableOptions.ตัวสร้าง	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
CallableOptions.ตัวสร้าง	clearRunOptions () Options that will be applied to each run.
CallableOptions.ตัวสร้าง	เป้าหมายที่ชัดเจน () Target Nodes.
CallableOptions.ตัวสร้าง	ชัดเจนการเชื่อมต่อเทนเซอร์ () Tensors to be connected in the callable.
CallableOptions.ตัวสร้าง	โคลน ()
บูลีน	containsFeedDevices (คีย์สตริง) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
บูลีน	มี FetchDevices (คีย์สตริง) map<string, string> fetch_devices = 7;
CallableOptions	getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor แบบคงที่ขั้นสุดท้าย	รับคำอธิบาย ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
สตริง	getFeed (ดัชนี int) Tensors to be fed in the callable.
com.google.protobuf.ByteString	getFeedBytes (ดัชนี int) Tensors to be fed in the callable.
ภายใน	getFeedCount () Tensors to be fed in the callable.
แมป<สตริง สตริง>	รับอุปกรณ์ฟีด () ใช้ getFeedDevicesMap() แทน
ภายใน	getFeedDevicesCount () The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
แมป<สตริง สตริง>	getFeedDevicesMap () The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
สตริง	getFeedDevicesOrDefault (คีย์สตริง, สตริง defaultValue) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
สตริง	getFeedDevicesOrThrow (คีย์สตริง) 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	รับฟีดลิสต์ () Tensors to be fed in the callable.
สตริง	getFetch (ดัชนี int) Fetches.
com.google.protobuf.ByteString	getFetchBytes (ดัชนี int) Fetches.
ภายใน	getFetchCount () Fetches.
แมป<สตริง สตริง>	getFetchDevices () ใช้ getFetchDevicesMap() แทน
ภายใน	getFetchDevicesCount () map<string, string> fetch_devices = 7;
แมป<สตริง สตริง>	getFetchDevicesMap () map<string, string> fetch_devices = 7;
สตริง	getFetchDevicesOrDefault (คีย์สตริง, สตริง defaultValue) map<string, string> fetch_devices = 7;
สตริง	getFetchDevicesOrThrow (คีย์สตริง) map<string, string> fetch_devices = 7;
com.google.protobuf.ProtocolStringList	getFetchList () Fetches.
บูลีน	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.
แมป<สตริง สตริง>	getMutableFeedDevices () ใช้ตัวเข้าถึงการกลายพันธุ์สำรองแทน
แมป<สตริง สตริง>	getMutableFetchDevices () ใช้ตัวเข้าถึงการกลายพันธุ์สำรองแทน
เรียกใช้ตัวเลือก	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.
สตริง	getTarget (ดัชนี int) Target Nodes.
com.google.protobuf.ByteString	getTargetBytes (ดัชนี int) Target Nodes.
ภายใน	getTargetCount () Target Nodes.
com.google.protobuf.ProtocolStringList	รับเป้าหมายรายการ () Target Nodes.
เทนเซอร์การเชื่อมต่อ	getTensorConnection (ดัชนี int) Tensors to be connected in the callable.
TensorConnection.Builder	getTensorConnectionBuilder (ดัชนี int) Tensors to be connected in the callable.
รายการ < TensorConnection.Builder >	getTensorConnectionBuilderList () Tensors to be connected in the callable.
ภายใน	getTensorConnectionCount () Tensors to be connected in the callable.
รายการ < TensorConnection >	getTensorConnectionList () Tensors to be connected in the callable.
TensorConnectionOrBuilder	getTensorConnectionOrBuilder (ดัชนี int) Tensors to be connected in the callable.
รายการ<? ขยาย TensorConnectionOrBuilder >	getTensorConnectionOrBuilderList () Tensors to be connected in the callable.
บูลีน	hasRunOptions () Options that will be applied to each run.
บูลีนสุดท้าย	เป็นค่าเริ่มต้น ()
CallableOptions.ตัวสร้าง	mergeFrom (com.google.protobuf.ข้อความ อื่น ๆ )
CallableOptions.ตัวสร้าง	mergeFrom (com.google.protobuf.CodedInputStream อินพุต com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions.ตัวสร้าง	mergeRunOptions (ค่า RunOptions ) Options that will be applied to each run.
CallableOptions.Builder สุดท้าย	mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
CallableOptions.ตัวสร้าง	putAllFeedDevices (ค่าแมป <สตริง สตริง>) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
CallableOptions.ตัวสร้าง	putAllFetchDevices (ค่าแมป <สตริง, สตริง>) map<string, string> fetch_devices = 7;
CallableOptions.ตัวสร้าง	putFeedDevices (คีย์สตริง ค่าสตริง) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
CallableOptions.ตัวสร้าง	putFetchDevices (คีย์สตริง, ค่าสตริง) map<string, string> fetch_devices = 7;
CallableOptions.ตัวสร้าง	RemoveFeedDevices (คีย์สตริง) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
CallableOptions.ตัวสร้าง	RemoveFetchDevices (คีย์สตริง) map<string, string> fetch_devices = 7;
CallableOptions.ตัวสร้าง	ลบ TensorConnection (ดัชนี int) Tensors to be connected in the callable.
CallableOptions.ตัวสร้าง	setFeed (ดัชนี int, ค่าสตริง) Tensors to be fed in the callable.
CallableOptions.ตัวสร้าง	setFetch (ดัชนี int, ค่าสตริง) Fetches.
CallableOptions.ตัวสร้าง	setFetchSkipSync (ค่าบูลีน) By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
CallableOptions.ตัวสร้าง	setField (ฟิลด์ com.google.protobuf.Descriptors.FieldDescriptor ค่าอ็อบเจ็กต์)
CallableOptions.ตัวสร้าง	setRepeatedField (ฟิลด์ com.google.protobuf.Descriptors.FieldDescriptor, ดัชนี int, ค่าอ็อบเจ็กต์)
CallableOptions.ตัวสร้าง	setRunOptions ( RunOptions.Builder builderForValue) Options that will be applied to each run.
CallableOptions.ตัวสร้าง	setRunOptions (ค่า RunOptions ) Options that will be applied to each run.
CallableOptions.ตัวสร้าง	setTarget (ดัชนี int, ค่าสตริง) Target Nodes.
CallableOptions.ตัวสร้าง	setTensorConnection (ดัชนี int, ค่า TensorConnection ) Tensors to be connected in the callable.
CallableOptions.ตัวสร้าง	setTensorConnection (ดัชนี int, TensorConnection.Builder builderForValue) Tensors to be connected in the callable.
CallableOptions.Builder สุดท้าย	setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

วิธีการสืบทอด

จากคลาส java.lang.Object

บูลีน	เท่ากับ (วัตถุ arg0)
คลาสสุดท้าย<?>	รับคลาส ()
ภายใน	แฮชโค้ด ()
โมฆะสุดท้าย	แจ้ง ()
โมฆะสุดท้าย	แจ้งทั้งหมด ()
สตริง	toString ()
โมฆะสุดท้าย	รอสักครู่ (ยาว arg0, int arg1)
โมฆะสุดท้าย	รอ (ยาว arg0)
โมฆะสุดท้าย	รอ ()

จากอินเทอร์เฟซ org.tensorflow.proto.framework.CallableOptionsOrBuilder

บูลีนนามธรรม	containsFeedDevices (คีย์สตริง) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
บูลีนนามธรรม	มี FetchDevices (คีย์สตริง) map<string, string> fetch_devices = 7;
สตริงที่เป็นนามธรรม	getFeed (ดัชนี int) Tensors to be fed in the callable.
นามธรรม com.google.protobuf.ByteString	getFeedBytes (ดัชนี int) Tensors to be fed in the callable.
บทคัดย่อ	getFeedCount () Tensors to be fed in the callable.
แผนที่นามธรรม <String, String>	รับอุปกรณ์ฟีด () ใช้ getFeedDevicesMap() แทน
บทคัดย่อ	getFeedDevicesCount () The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
แผนที่นามธรรม <String, String>	getFeedDevicesMap () The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
สตริงที่เป็นนามธรรม	getFeedDevicesOrDefault (คีย์สตริง, สตริง defaultValue) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
สตริงที่เป็นนามธรรม	getFeedDevicesOrThrow (คีย์สตริง) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
รายการนามธรรม <สตริง>	รับฟีดลิสต์ () Tensors to be fed in the callable.
สตริงที่เป็นนามธรรม	getFetch (ดัชนี int) Fetches.
นามธรรม com.google.protobuf.ByteString	getFetchBytes (ดัชนี int) Fetches.
บทคัดย่อ	getFetchCount () Fetches.
แผนที่นามธรรม <String, String>	getFetchDevices () ใช้ getFetchDevicesMap() แทน
บทคัดย่อ	getFetchDevicesCount () map<string, string> fetch_devices = 7;
แผนที่นามธรรม <String, String>	getFetchDevicesMap () map<string, string> fetch_devices = 7;
สตริงที่เป็นนามธรรม	getFetchDevicesOrDefault (คีย์สตริง, สตริง defaultValue) map<string, string> fetch_devices = 7;
สตริงที่เป็นนามธรรม	getFetchDevicesOrThrow (คีย์สตริง) map<string, string> fetch_devices = 7;
รายการนามธรรม <สตริง>	getFetchList () Fetches.
บูลีนนามธรรม	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.
RunOptions นามธรรม	getRunOptions () Options that will be applied to each run.
RunOptionsOrBuilder แบบนามธรรม	getRunOptionsOrBuilder () Options that will be applied to each run.
สตริงที่เป็นนามธรรม	getTarget (ดัชนี int) Target Nodes.
นามธรรม com.google.protobuf.ByteString	getTargetBytes (ดัชนี int) Target Nodes.
บทคัดย่อ	getTargetCount () Target Nodes.
รายการนามธรรม <สตริง>	รับเป้าหมายรายการ () Target Nodes.
การเชื่อมต่อเทนเซอร์ แบบนามธรรม	getTensorConnection (ดัชนี int) Tensors to be connected in the callable.
บทคัดย่อ	getTensorConnectionCount () Tensors to be connected in the callable.
รายการนามธรรม < TensorConnection >	getTensorConnectionList () Tensors to be connected in the callable.
TensorConnectionOrBuilder แบบนามธรรม	getTensorConnectionOrBuilder (ดัชนี int) Tensors to be connected in the callable.
รายการนามธรรม<? ขยาย TensorConnectionOrBuilder >	getTensorConnectionOrBuilderList () Tensors to be connected in the callable.
บูลีนนามธรรม	hasRunOptions () Options that will be applied to each run.

วิธีการสาธารณะ

CallableOptions.Builder สาธารณะ addAllFeed (ค่า Iterable <String>)

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

repeated string feed = 1;

CallableOptions.Builder สาธารณะ addAllFetch (ค่า Iterable <String>)

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

repeated string fetch = 2;

CallableOptions.Builder สาธารณะ addAllTarget (ค่า Iterable <String>)

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
 

repeated string target = 3;

CallableOptions.Builder สาธารณะ addAllTensorConnection (Iterable <? ขยาย TensorConnection > ค่า)

 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;

CallableOptions.Builder addFeed สาธารณะ (ค่าสตริง)

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

repeated string feed = 1;

CallableOptions.Builder addFeedBytes สาธารณะ (ค่า com.google.protobuf.ByteString)

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

repeated string feed = 1;

CallableOptions.Builder addFetch สาธารณะ (ค่าสตริง)

 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;

CallableOptions.Builder addFetchBytes สาธารณะ (ค่า com.google.protobuf.ByteString)

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

repeated string fetch = 2;

CallableOptions.Builder addRepeatedField สาธารณะ (com.google.protobuf.Descriptors.FieldDescriptor ฟิลด์ ค่าอ็อบเจ็กต์)

CallableOptions.Builder addTarget สาธารณะ (ค่าสตริง)

 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;

CallableOptions.Builder addTargetBytes สาธารณะ (ค่า com.google.protobuf.ByteString)

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
 

repeated string target = 3;

CallableOptions.Builder addTensorConnection สาธารณะ (ดัชนี int, ค่า TensorConnection )

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
 

repeated .tensorflow.TensorConnection tensor_connection = 5;

CallableOptions.Builder addTensorConnection สาธารณะ (ดัชนี int, 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;

CallableOptions.Builder addTensorConnection สาธารณะ (ค่า TensorConnection )

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
 

repeated .tensorflow.TensorConnection tensor_connection = 5;

CallableOptions.Builder สาธารณะ 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;

TensorConnection.Builder สาธารณะ 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;

TensorConnection.Builder สาธารณะ addTensorConnectionBuilder (ดัชนี int)

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
 

repeated .tensorflow.TensorConnection tensor_connection = 5;

บิลด์ CallableOptions สาธารณะ ()

CallableOptions สาธารณะ buildPartial ()

CallableOptions.Builder สาธารณะ ชัดเจน ()

CallableOptions.Builder สาธารณะ clearFeed ()

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

repeated string feed = 1;

CallableOptions.Builder สาธารณะ clearFeedDevices ()

CallableOptions.Builder สาธารณะ 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;

CallableOptions.Builder สาธารณะ clearFetchDevices ()

CallableOptions.Builder สาธารณะ 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;

สาธารณะ CallableOptions.Builder clearField (ฟิลด์ com.google.protobuf.Descriptors.FieldDescriptor)

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

CallableOptions.Builder สาธารณะ clearRunOptions ()

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

CallableOptions.Builder สาธารณะ clearTarget ()

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
 

repeated string target = 3;

CallableOptions.Builder สาธารณะ 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;

สาธารณะ CallableOptions.Builder โคลน ()

บูลีนสาธารณะ มี FeedDevices (คีย์สตริง)

 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;

บูลีนสาธารณะ มี FetchDevices (คีย์สตริง)

map<string, string> fetch_devices = 7;

CallableOptions สาธารณะ getDefaultInstanceForType ()

สาธารณะคงที่สุดท้าย com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

สตริงสาธารณะ getFeed (ดัชนี int)

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

repeated string feed = 1;

สาธารณะ com.google.protobuf.ByteString getFeedBytes (ดัชนี int)

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

repeated string feed = 1;

สาธารณะ int getFeedCount ()

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

repeated string feed = 1;

แผนที่สาธารณะ <String, String> getFeedDevices ()

ใช้ getFeedDevicesMap() แทน

int สาธารณะ 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;

แผนที่สาธารณะ <String, String> getFeedDevicesMap ()

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

map<string, string> feed_devices = 6;

สตริงสาธารณะ getFeedDevicesOrDefault (คีย์สตริง, สตริง 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;

สตริงสาธารณะ getFeedDevicesOrThrow (คีย์สตริง)

 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;

สาธารณะ com.google.protobuf.ProtocolStringList getFeedList ()

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

repeated string feed = 1;

สตริงสาธารณะ getFetch (ดัชนี int)

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

repeated string fetch = 2;

สาธารณะ com.google.protobuf.ByteString getFetchBytes (ดัชนี int)

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

repeated string fetch = 2;

สาธารณะ 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;

แผนที่สาธารณะ <String, String> getFetchDevices ()

ใช้ getFetchDevicesMap() แทน

สาธารณะ int getFetchDevicesCount ()

map<string, string> fetch_devices = 7;

แผนที่สาธารณะ <String, String> getFetchDevicesMap ()

map<string, string> fetch_devices = 7;

สตริงสาธารณะ getFetchDevicesOrDefault (คีย์สตริง, สตริง defaultValue)

map<string, string> fetch_devices = 7;

สตริงสาธารณะ getFetchDevicesOrThrow (คีย์สตริง)

map<string, string> fetch_devices = 7;

สาธารณะ 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;

บูลีนสาธารณะ 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;

แผนที่สาธารณะ <String, String> getMutableFeedDevices ()

ใช้ตัวเข้าถึงการกลายพันธุ์สำรองแทน

แผนที่สาธารณะ <String, String> getMutableFetchDevices ()

ใช้ตัวเข้าถึงการกลายพันธุ์สำรองแทน

RunOptions สาธารณะ getRunOptions ()

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

RunOptions.Builder สาธารณะ getRunOptionsBuilder ()

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

RunOptionsOrBuilder สาธารณะ getRunOptionsOrBuilder ()

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

สตริงสาธารณะ getTarget (ดัชนี int)

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
 

repeated string target = 3;

สาธารณะ com.google.protobuf.ByteString getTargetBytes (ดัชนี int)

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.
 

repeated string target = 3;

สาธารณะ 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;

สาธารณะ 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;

TensorConnection สาธารณะ getTensorConnection (ดัชนี int)

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
 

repeated .tensorflow.TensorConnection tensor_connection = 5;

TensorConnection.Builder สาธารณะ getTensorConnectionBuilder (ดัชนี int)

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
 

repeated .tensorflow.TensorConnection tensor_connection = 5;

รายการสาธารณะ < 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;

int สาธารณะ 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;

รายการสาธารณะ < TensorConnection > getTensorConnectionList ()

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
 

repeated .tensorflow.TensorConnection tensor_connection = 5;

TensorConnectionOrBuilder สาธารณะ getTensorConnectionOrBuilder (ดัชนี int)

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
 

repeated .tensorflow.TensorConnection tensor_connection = 5;

รายการสาธารณะ<? ขยาย TensorConnectionOrBuilder > getTensorConnectionOrBuilderList ()

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
 

repeated .tensorflow.TensorConnection tensor_connection = 5;

hasRunOptions บูลีนสาธารณะ ()

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

บูลีนสุดท้ายสาธารณะ isInitialized ()

CallableOptions.Builder สาธารณะ ผสานจาก (com.google.protobuf.Message อื่น ๆ )

CallableOptions.Builder สาธารณะ ผสานจาก (com.google.protobuf.CodedInputStream อินพุต com.google.protobuf.ExtensionRegistryLite extensionRegistry)

ขว้าง

IOข้อยกเว้น

CallableOptions.Builder สาธารณะ mergeRunOptions (ค่า RunOptions )

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

CallableOptions.Builder สาธารณะขั้นสุดท้าย ผสาน UnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

CallableOptions.Builder สาธารณะ putAllFeedDevices (ค่าแมป <สตริง สตริง>)

 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;

CallableOptions.Builder สาธารณะ putAllFetchDevices (ค่าแมป <สตริง, สตริง>)

map<string, string> fetch_devices = 7;

CallableOptions.Builder สาธารณะ putFeedDevices (คีย์สตริง, ค่าสตริง)

 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;

CallableOptions.Builder สาธารณะ putFetchDevices (คีย์สตริง, ค่าสตริง)

map<string, string> fetch_devices = 7;

CallableOptions.Builder สาธารณะ RemoveFeedDevices (คีย์สตริง)

 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;

CallableOptions.Builder สาธารณะ RemoveFetchDevices (คีย์สตริง)

map<string, string> fetch_devices = 7;

CallableOptions.Builder สาธารณะ ลบ TensorConnection (ดัชนี int)

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
 

repeated .tensorflow.TensorConnection tensor_connection = 5;

CallableOptions.Builder setFeed สาธารณะ (ดัชนี int, ค่าสตริง)

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

repeated string feed = 1;

CallableOptions.Builder สาธารณะ setFetch (ดัชนี int, ค่าสตริง)

 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;

CallableOptions.Builder สาธารณะ setFetchSkipSync (ค่าบูลีน)

 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;

CallableOptions.Builder setField สาธารณะ (ฟิลด์ com.google.protobuf.Descriptors.FieldDescriptor ค่าอ็อบเจ็กต์)

CallableOptions.Builder สาธารณะ setRepeatedField (ฟิลด์ com.google.protobuf.Descriptors.FieldDescriptor, ดัชนี int, ค่าอ็อบเจ็กต์)

CallableOptions.Builder สาธารณะ setRunOptions ( RunOptions.Builder builderForValue)

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

CallableOptions.Builder setRunOptions สาธารณะ (ค่า RunOptions )

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

CallableOptions.Builder สาธารณะ setTarget (ดัชนี int, ค่าสตริง)

 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;

CallableOptions.Builder สาธารณะ setTensorConnection (ดัชนี int, ค่า TensorConnection )

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.
 

repeated .tensorflow.TensorConnection tensor_connection = 5;

CallableOptions.Builder สาธารณะ setTensorConnection (ดัชนี int, 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;

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