RunOptions.Experimental.Builder

lớp cuối cùng tĩnh công khai RunOptions.Experimental.Builder

 Everything inside Experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat.
 

Loại protobuf tensorflow.RunOptions.Experimental

Phương pháp công khai

RunOptions.Experimental.Builder	addRepeatedField (trường com.google.protobuf.Descriptors.FieldDescriptor, Giá trị đối tượng)
RunOptions.Experimental	xây dựng ()
RunOptions.Experimental	xây dựngMột phần ()
RunOptions.Experimental.Builder	thông thoáng ()
RunOptions.Experimental.Builder	clearCollectiveGraphKey () If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
RunOptions.Experimental.Builder	ClearField (trường com.google.protobuf.Descriptors.FieldDescriptor)
RunOptions.Experimental.Builder	ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
RunOptions.Experimental.Builder	clearRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.Builder	clearUseRunHandlerPool () If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.
RunOptions.Experimental.Builder	dòng vô tính ()
dài	getCollectiveGraphKey () If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
RunOptions.Experimental	getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor tĩnh cuối cùng	getDescriptor ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
RunOptions.Experimental.RunHandlerPoolOptions	getRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.RunHandlerPoolOptions.Builder	getRunHandlerPoolOptionsBuilder () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder	getRunHandlerPoolOptionsOrBuilder () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
boolean	getUseRunHandlerPool () If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.
boolean	hasRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
boolean cuối cùng	được khởi tạo ()
RunOptions.Experimental.Builder	mergeFrom (đầu vào com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
RunOptions.Experimental.Builder	mergeFrom (com.google.protobuf.Message other)
RunOptions.Experimental.Builder	mergeRunHandlerPoolOptions (giá trị RunOptions.Experimental.RunHandlerPoolOptions ) .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
cuối cùng RunOptions.Experimental.Builder	hợp nhấtUnknownFields (com.google.protobuf.UnknownFieldSet knownFields)
RunOptions.Experimental.Builder	setCollectiveGraphKey (giá trị dài) If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
RunOptions.Experimental.Builder	setField (trường com.google.protobuf.Descriptors.FieldDescriptor, Giá trị đối tượng)
RunOptions.Experimental.Builder	setRepeatedField (trường com.google.protobuf.Descriptors.FieldDescriptor, chỉ mục int, giá trị đối tượng)
RunOptions.Experimental.Builder	setRunHandlerPoolOptions (giá trị RunOptions.Experimental.RunHandlerPoolOptions ) .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.Builder	setRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions.Builder builderForValue) .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
cuối cùng RunOptions.Experimental.Builder	setUnknownFields (com.google.protobuf.UnknownFieldSet knownFields)
RunOptions.Experimental.Builder	setUseRunHandlerPool (giá trị boolean) If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.

Phương pháp kế thừa

Từ lớp java.lang.Object

boolean	bằng (Đối tượng arg0)
Lớp cuối cùng<?>	getClass ()
int	mã băm ()
khoảng trống cuối cùng	thông báo ()
khoảng trống cuối cùng	thông báoTất cả ()
Sợi dây	toString ()
khoảng trống cuối cùng	chờ đã (arg0 dài, int arg1)
khoảng trống cuối cùng	chờ đã (arg0 dài)
khoảng trống cuối cùng	Chờ đợi ()

Từ giao diện org.tensorflow.proto.framework.RunOptions.ExperimentalOrBuilder

trừu tượng dài	getCollectiveGraphKey () If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
trừu tượng RunOptions.Experimental.RunHandlerPoolOptions	getRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
trừu tượng RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder	getRunHandlerPoolOptionsOrBuilder () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
trừu tượng boolean	getUseRunHandlerPool () If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.
trừu tượng boolean	hasRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

Phương pháp công khai

công khai RunOptions.Experimental.Builder addRepeatedField (trường com.google.protobuf.Descriptors.FieldDescriptor, Giá trị đối tượng)

bản dựng công khai RunOptions.Experimental ()

công khai RunOptions.Experimental buildPartial ()

công khai RunOptions.Experimental.Builder rõ ràng ()

công khai RunOptions.Experimental.Builder clearCollectiveGraphKey ()

 If non-zero, declares that this graph is going to use collective
 ops and must synchronize step_ids with any other graph with this
 same group_key value (in a distributed computation where tasks
 run disjoint graphs).
 

int64 collective_graph_key = 1;

công khai RunOptions.Experimental.Builder clearField (trường com.google.protobuf.Descriptors.FieldDescriptor)

công khai RunOptions.Experimental.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

công khai RunOptions.Experimental.Builder clearRunHandlerPoolOptions ()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

công khai RunOptions.Experimental.Builder clearUseRunHandlerPool ()

 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.
 Consider using this option for CPU-bound workloads like inference.
 

bool use_run_handler_pool = 2;

bản sao RunOptions.Experimental.Builder công khai ()

getCollectiveGraphKey công khai dài ()

 If non-zero, declares that this graph is going to use collective
 ops and must synchronize step_ids with any other graph with this
 same group_key value (in a distributed computation where tasks
 run disjoint graphs).
 

int64 collective_graph_key = 1;

công khai RunOptions.Experimental getDefaultInstanceForType ()

công khai tĩnh cuối cùng com.google.protobuf.Descriptors.Descriptor getDescriptor ()

com.google.protobuf.Descriptors.Descriptor công khai getDescriptorForType ()

công khai RunOptions.Experimental.RunHandlerPoolOptions getRunHandlerPoolOptions ()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

công khai RunOptions.Experimental.RunHandlerPoolOptions.Builder getRunHandlerPoolOptionsBuilder ()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

công khai RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder getRunHandlerPoolOptionsOrBuilder ()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

boolean công khai getUseRunHandlerPool ()

 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.
 Consider using this option for CPU-bound workloads like inference.
 

bool use_run_handler_pool = 2;

boolean công khai hasRunHandlerPoolOptions ()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

boolean cuối cùng công khai được khởi tạo ()

công khai RunOptions.Experimental.Builder mergeFrom (đầu vào com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném

IOException

công khai RunOptions.Experimental.Builder mergeFrom (com.google.protobuf.Message other)

công khai RunOptions.Experimental.Builder mergeRunHandlerPoolOptions (giá trị RunOptions.Experimental.RunHandlerPoolOptions )

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

trận chung kết công khai RunOptions.Experimental.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet knownFields)

công khai RunOptions.Experimental.Builder setCollectiveGraphKey (giá trị dài)

 If non-zero, declares that this graph is going to use collective
 ops and must synchronize step_ids with any other graph with this
 same group_key value (in a distributed computation where tasks
 run disjoint graphs).
 

int64 collective_graph_key = 1;

công khai RunOptions.Experimental.Builder setField (trường com.google.protobuf.Descriptors.FieldDescriptor, Giá trị đối tượng)

công khai RunOptions.Experimental.Builder setRepeatedField (trường com.google.protobuf.Descriptors.FieldDescriptor, chỉ mục int, giá trị đối tượng)

công khai RunOptions.Experimental.Builder setRunHandlerPoolOptions ( giá trị RunOptions.Experimental.RunHandlerPoolOptions )

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

công khai RunOptions.Experimental.Builder setRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions.Builder builderForValue)

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

trận chung kết công khai RunOptions.Experimental.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet knownFields)

công khai RunOptions.Experimental.Builder setUseRunHandlerPool (giá trị boolean)

 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.
 Consider using this option for CPU-bound workloads like inference.
 

bool use_run_handler_pool = 2;