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 cộng

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

Phương pháp công cộng

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;