CallableOptions

کلاس نهایی عمومی CallableOptions

 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()`.
نوع Protobuf tensorflow.CallableOptions

کلاس های تو در تو

کلاس CallableOptions.Builder
 Defines a subgraph in another `GraphDef` as a set of feed points and nodes
 to be fetched or executed. 

ثابت ها

بین المللی FEED_DEVICES_FIELD_NUMBER
بین المللی FEED_FIELD_NUMBER
بین المللی FETCH_DEVICES_FIELD_NUMBER
بین المللی FETCH_FIELD_NUMBER
بین المللی FETCH_SKIP_SYNC_FIELD_NUMBER
بین المللی RUN_OPTIONS_FIELD_NUMBER
بین المللی TARGET_FIELD_NUMBER
بین المللی TENSOR_CONNECTION_FIELD_NUMBER

روش های عمومی

بولی
containFeedDevices (کلید رشته)
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
بولی
حاوی FetchDevices (کلید رشته)
map<string, string> fetch_devices = 7;
بولی
برابر است (object obj)
CallableOptions ثابت
getDefaultInstance ()
CallableOptions
getDefaultInstanceForType ()
نهایی static com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
رشته
getFeed (شاخص int)
 Tensors to be fed in the callable.
com.google.protobuf.ByteString
getFeedBytes (شاخص int)
 Tensors to be fed in the callable.
بین المللی
getFeedCount ()
 Tensors to be fed in the callable.
نقشه<رشته، رشته>
getFeedDevices ()
به جای آن از getFeedDevicesMap() استفاده کنید.
بین المللی
getFeedDevicesCount ()
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
نقشه<رشته، رشته>
getFeedDevicesMap ()
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
رشته
getFeedDevicesOrDefault (کلید رشته، مقدار پیش فرض رشته)
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
رشته
getFeedDevicesOrThrow (کلید رشته)
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
com.google.protobuf.ProtocolStringList
getFeedList ()
 Tensors to be fed in the callable.
رشته
getFetch (شاخص int)
 Fetches.
com.google.protobuf.ByteString
getFetchBytes (شاخص int)
 Fetches.
بین المللی
getFetchCount ()
 Fetches.
نقشه<رشته، رشته>
getFetchDevices ()
به جای آن از getFetchDevicesMap() استفاده کنید.
بین المللی
getFetchDevicesCount ()
map<string, string> fetch_devices = 7;
نقشه<رشته، رشته>
getFetchDevicesMap ()
map<string, string> fetch_devices = 7;
رشته
getFetchDevicesOrDefault (کلید رشته، مقدار پیش‌فرض رشته)
map<string, string> fetch_devices = 7;
رشته
getFetchDevicesOrThrow (کلید رشته)
map<string, string> fetch_devices = 7;
com.google.protobuf.ProtocolStringList
getFetchList ()
 Fetches.
بولی
getFetchSkipSync ()
 By default, RunCallable() will synchronize the GPU stream before returning
 fetched tensors on a GPU device, to ensure that the values in those tensors
 have been produced.
getParserForType ()
RunOptions
getRunOptions ()
 Options that will be applied to each run.
RunOptionsOrBuilder
getRunOptionsOrBuilder ()
 Options that will be applied to each run.
بین المللی
getSerializedSize ()
رشته
getTarget (شاخص int)
 Target Nodes.
com.google.protobuf.ByteString
getTargetBytes (شاخص int)
 Target Nodes.
بین المللی
getTargetCount ()
 Target Nodes.
com.google.protobuf.ProtocolStringList
getTargetList ()
 Target Nodes.
تنسور اتصال
getTensorConnection (شاخص int)
 Tensors to be connected in the callable.
بین المللی
getTensorConnectionCount ()
 Tensors to be connected in the callable.
لیست< TensorConnection >
getTensorConnectionList ()
 Tensors to be connected in the callable.
TensorConnectionOrBuilder
getTensorConnectionOrBuilder (شاخص int)
 Tensors to be connected in the callable.
لیست<? TensorConnectionOrBuilder را گسترش می دهد
getTensorConnectionOrBuilderList ()
 Tensors to be connected in the callable.
com.google.protobuf.UnknownFieldSet نهایی
getUnknownFields ()
بولی
hasRunOptions ()
 Options that will be applied to each run.
بین المللی
هش کد ()
بولی نهایی
اولیه شده است ()
استاتیک CallableOptions.Builder
newBuilder ()
استاتیک CallableOptions.Builder
newBuilder (نمونه اولیه CallableOptions )
CallableOptions.Builder
newBuilderForType ()
CallableOptions ثابت
parseDelimitedFrom (ورودی جریان ورودی)
CallableOptions ثابت
parseDelimitedFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions ثابت
parseFrom (داده‌های ByteBuffer، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions ثابت
parseFrom (ورودی com.google.protobuf.CodedInputStream)
CallableOptions ثابت
parseFrom (بایت[] داده، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions ثابت
parseFrom (داده های ByteBuffer)
CallableOptions ثابت
parseFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions ثابت
parseFrom (داده های com.google.protobuf.ByteString)
CallableOptions ثابت
parseFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions ثابت
parseFrom (داده‌های com.google.protobuf.ByteString، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ایستا
تجزیه کننده ()
CallableOptions.Builder
toBuilder ()
خالی
writeTo (خروجی com.google.protobuf.CodedOutputStream)

روش های ارثی

ثابت ها

نهایی استاتیک عمومی FEED_DEVICES_FIELD_NUMBER

مقدار ثابت: 6

نهایی استاتیک عمومی FEED_FIELD_NUMBER

ارزش ثابت: 1

نهایی استاتیک عمومی FETCH_DEVICES_FIELD_NUMBER

ارزش ثابت: 7

نهایی استاتیک عمومی FETCH_FIELD_NUMBER

مقدار ثابت: 2

نهایی استاتیک عمومی FETCH_SKIP_SYNC_FIELD_NUMBER

مقدار ثابت: 8

نهایی استاتیک عمومی RUN_OPTIONS_FIELD_NUMBER

ارزش ثابت: 4

نهایی استاتیک عمومی TARGET_FIELD_NUMBER

مقدار ثابت: 3

نهایی استاتیک عمومی TENSOR_CONNECTION_FIELD_NUMBER

ارزش ثابت: 5

روش های عمومی

بولین عمومی حاویFeedDevices (کلید رشته) 

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

بولین عمومی حاوی FetchDevices (کلید رشته)

map<string, string> fetch_devices = 7;

بولین عمومی برابر است (Object Obj)

عمومی Static CallableOptions getDefaultInstance ()

عمومی CallableOptions getDefaultInstanceForType ()

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

رشته عمومی getFeed (شاخص int) 

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

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

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

عمومی int getFeedCount () 

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

نقشه عمومی<String, String> getFeedDevices ()

به جای آن از getFeedDevicesMap() استفاده کنید.

عمومی int getFeedDevicesCount () 

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

نقشه عمومی<String, String> getFeedDevicesMap () 

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

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

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

رشته عمومی getFeedDevicesOrThrow (کلید رشته) 

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

عمومی com.google.protobuf.ProtocolStringList getFeedList () 

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

رشته عمومی getFetch (شاخص int) 

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

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

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

عمومی int getFetchCount () 

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

نقشه عمومی<String, String> getFetchDevices ()

به جای آن از getFetchDevicesMap() استفاده کنید.

عمومی int getFetchDevicesCount ()

map<string, string> fetch_devices = 7;

نقشه عمومی<String, String> getFetchDevicesMap ()

map<string, string> fetch_devices = 7;

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

map<string, string> fetch_devices = 7;

رشته عمومی getFetchDevicesOrThrow (کلید رشته)

map<string, string> fetch_devices = 7;

عمومی com.google.protobuf.ProtocolStringList getFetchList () 

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

getFetchSkipSync بولین عمومی () 

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

عمومی getParserForType ()

عمومی RunOptions getRunOptions () 

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

عمومی RunOptionsOrBuilder getRunOptionsOrBuilder () 

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

عمومی int getSerializedSize ()

رشته عمومی getTarget (شاخص int) 

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

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

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

عمومی int getTargetCount () 

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

عمومی com.google.protobuf.ProtocolStringList getTargetList () 

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

عمومی TensorConnection getTensorConnection (Int index) 

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

عمومی int getTensorConnectionCount () 

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

لیست عمومی< TensorConnection > getTensorConnectionList () 

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

عمومی TensorConnectionOrBuilder getTensorConnectionOrBuilder (Int index) 

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

لیست عمومی<? گسترش TensorConnectionOrBuilder > getTensorConnectionOrBuilderList () 

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

عمومی نهایی com.google.protobuf.UnknownFieldSet getUnknownFields ()

hasRunOptions بولین عمومی () 

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

هش کد عمومی ()

بولین نهایی عمومی isInitialized ()

عمومی CallableOptions.Builder newBuilder ()

عمومی CallableOptions.Builder newBuilder (نمونه اولیه CallableOptions )

عمومی CallableOptions.Builder newBuilderForType ()

عمومی Static CallableOptions parseDelimitedFrom (ورودی InputStream)

پرتاب می کند
IOException

عمومی Static CallableOptions parseDelimitedFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
IOException

عمومی Static CallableOptions parseFrom (داده‌های ByteBuffer، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
InvalidProtocolBufferException

عمومی Static CallableOptions parseFrom (ورودی com.google.protobuf.CodedInputStream)

پرتاب می کند
IOException

عمومی Static CallableOptions parseFrom (بایت[] داده، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
InvalidProtocolBufferException

عمومی Static CallableOptions parseFrom (داده ByteBuffer)

پرتاب می کند
InvalidProtocolBufferException

عمومی Static CallableOptions parseFrom (com.google.protobuf.CodedInputStream ورودی، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
IOException

عمومی Static CallableOptions parseFrom (داده های com.google.protobuf.ByteString)

پرتاب می کند
InvalidProtocolBufferException

عمومی Static CallableOptions parseFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
IOException

عمومی Static CallableOptions parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
InvalidProtocolBufferException

استاتیک عمومی تجزیه کننده ()

عمومی CallableOptions.Builder toBuilder ()

public void writeTo (خروجی com.google.protobuf.CodedOutputStream)

پرتاب می کند
IOException