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 | |
Callable Options.Builder | addTensorConnection (int index, TensorConnection.Builder builderForValue) Tensors to be connected in the callable. |
Callable Options.Builder | |
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 | |
Callable Options.Builder | clearFetch () Fetches. |
Callable Options.Builder | |
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 | |
চূড়ান্ত স্ট্যাটিক com.google.protobuf.Descriptors.Descriptor | |
com.google.protobuf.Descriptors.Descriptor | |
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 | |
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 | |
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 | |
Callable Options.Builder | |
Callable Options.Builder | setTarget (int সূচক, স্ট্রিং মান) Target Nodes. |
Callable Options.Builder | |
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;
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। 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 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;
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;
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;
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;
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;
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.CodedInputStream ইনপুট, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
নিক্ষেপ করে
IO ব্যতিক্রম |
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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;