Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.סוג Protobuf
tensorflow.RunOptions.Experimental
שיטות ציבוריות
RunOptions.Experimental.Builder | addRepeatedField (שדה com.google.protobuf.Descriptors.FieldDescriptor, ערך אובייקט) |
RunOptions.ניסוי | לבנות () |
RunOptions.ניסוי | buildPartial () |
RunOptions.Experimental.Builder | ברור () |
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 (שדה 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 | שיבוט () |
אָרוֹך | 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.ניסוי | |
final static com.google.protobuf.Descriptors.Descriptor | |
com.google.protobuf.Descriptors.Descriptor | |
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; |
בוליאני | 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. |
בוליאני | hasRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3; |
בוליאנית סופית | |
RunOptions.Experimental.Builder | mergeFrom (קלט com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
RunOptions.Experimental.Builder | mergeFrom (com.google.protobuf.Message אחר) |
RunOptions.Experimental.Builder | mergeRunHandlerPoolOptions (ערך RunOptions.Experimental.RunHandlerPoolOptions ) .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3; |
Final RunOptions.Experimental.Builder | mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields) |
RunOptions.Experimental.Builder | setCollectiveGraphKey (ערך ארוך) 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 (שדה com.google.protobuf.Descriptors.FieldDescriptor, ערך אובייקט) |
RunOptions.Experimental.Builder | setRepeatedField (שדה com.google.protobuf.Descriptors.FieldDescriptor, אינדקס אינט, ערך אובייקט) |
RunOptions.Experimental.Builder | setRunHandlerPoolOptions (ערך 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; |
Final RunOptions.Experimental.Builder | setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields) |
RunOptions.Experimental.Builder | setUseRunHandlerPool (ערך בוליאני) If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency. |
שיטות בירושה
שיטות ציבוריות
public RunOptions.Experimental.Builder addRepeatedField (שדה com.google.protobuf.Descriptors.FieldDescriptor, ערך אובייקט)
public 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;
public RunOptions.Experimental.Builder clearField (שדה com.google.protobuf.Descriptors.FieldDescriptor)
public RunOptions.Experimental.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
public RunOptions.Experimental.Builder clearRunHandlerPoolOptions ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
public 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;
public long 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).
int64 collective_graph_key = 1;
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
public RunOptions.Experimental.RunHandlerPoolOptions getRunHandlerPoolOptions ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
public RunOptions.Experimental.RunHandlerPoolOptions.Builder getRunHandlerPoolOptionsBuilder ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
public RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder getRunHandlerPoolOptionsOrBuilder ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
getUseRunHandlerPool ציבורי בוליאני ()
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;
בוליאני ציבורי hasRunHandlerPoolOptions ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
בוליאני הסופי הציבורי הוא אתחול ()
public RunOptions.Experimental.Builder mergeFrom (קלט com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
זורק
IOException |
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public RunOptions.Experimental.Builder mergeRunHandlerPoolOptions (ערך RunOptions.Experimental.RunHandlerPoolOptions )
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
public final RunOptions.Experimental.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
public RunOptions.Experimental.Builder setCollectiveGraphKey (ערך ארוך)
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;
public RunOptions.Experimental.Builder setField (שדה com.google.protobuf.Descriptors.FieldDescriptor, ערך אובייקט)
public RunOptions.Experimental.Builder setRepeatedField (שדה com.google.protobuf.Descriptors.FieldDescriptor, אינדקס int, ערך אובייקט)
public RunOptions.Experimental.Builder setRunHandlerPoolOptions (ערך RunOptions.Experimental.RunHandlerPoolOptions )
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
public RunOptions.Experimental.Builder setRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions.Builder builderForValue)
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
public final RunOptions.Experimental.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
public RunOptions.Experimental.Builder setUseRunHandlerPool (ערך בוליאני)
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;