सार्वजनिक स्थैतिक अंतिम वर्ग GraphOptions.Builder
प्रोटोबफ प्रकार tensorflow.GraphOptions
सार्वजनिक तरीके
| ग्राफ़ऑप्शंस.बिल्डर | addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान) |
| ग्राफ़ विकल्प | निर्माण () |
| ग्राफ़ विकल्प | बिल्डआंशिक () |
| ग्राफ़ऑप्शंस.बिल्डर | स्पष्ट () |
| ग्राफ़ऑप्शंस.बिल्डर | क्लियरबिल्डकॉस्टमॉडल () The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. |
| ग्राफ़ऑप्शंस.बिल्डर | क्लियरबिल्डकॉस्टमॉडलआफ्टर () The number of steps to skip before collecting statistics for the cost model. |
| ग्राफ़ऑप्शंस.बिल्डर | ClearEnableBfloat16Sendrecv () If true, transfer float values between processes as bfloat16. |
| ग्राफ़ऑप्शंस.बिल्डर | ClearEnableRecvScheduling () If true, use control flow to schedule the activation of Recv nodes. |
| ग्राफ़ऑप्शंस.बिल्डर | क्लियरफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड) |
| ग्राफ़ऑप्शंस.बिल्डर | क्लियरइन्फेरशेप्स () Annotate each Node with Op output shape data, to the extent it can be statically inferred. |
| ग्राफ़ऑप्शंस.बिल्डर | ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof) |
| ग्राफ़ऑप्शंस.बिल्डर | क्लियरऑप्टिमाइज़रऑप्शंस () Options controlling how graph is optimized. |
| ग्राफ़ऑप्शंस.बिल्डर | क्लियरप्लेसप्रून्डग्राफ () Only place the subgraphs that are run, rather than the entire graph. |
| ग्राफ़ऑप्शंस.बिल्डर | स्पष्ट पुनर्लेखन विकल्प () Options that control the type and amount of graph rewriting. |
| ग्राफ़ऑप्शंस.बिल्डर | क्लियरटाइमलाइनस्टेप () If > 0, record a timeline every this many steps. |
| ग्राफ़ऑप्शंस.बिल्डर | क्लोन () |
| लंबा | getBuildCostModel () The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. |
| लंबा | getBuildCostModelAfter () The number of steps to skip before collecting statistics for the cost model. |
| ग्राफ़ विकल्प | |
| अंतिम स्थिर com.google.protobuf.Descriptors.Descriptor | |
| com.google.protobuf.Descriptors.Descriptor | |
| बूलियन | getEnableBfloat16Sendrecv () If true, transfer float values between processes as bfloat16. |
| बूलियन | getEnableRecvScheduling () If true, use control flow to schedule the activation of Recv nodes. |
| बूलियन | getInferShapes () Annotate each Node with Op output shape data, to the extent it can be statically inferred. |
| अनुकूलक विकल्प | गेटऑप्टिमाइज़रऑप्शंस () Options controlling how graph is optimized. |
| ऑप्टिमाइज़रऑप्शंस.बिल्डर | getऑप्टिमाइज़रऑप्शंसबिल्डर () Options controlling how graph is optimized. |
| ऑप्टिमाइज़रऑप्शनऑरबिल्डर | getOptimizerOptionsOrBuilder () Options controlling how graph is optimized. |
| बूलियन | getPlacePrunedGraph () Only place the subgraphs that are run, rather than the entire graph. |
| रीराइटरकॉन्फिग | getRewriteOptions () Options that control the type and amount of graph rewriting. |
| रीराइटरकॉन्फिग.बिल्डर | getRewriteOptionsBuilder () Options that control the type and amount of graph rewriting. |
| रीराइटरकॉन्फिगऑरबिल्डर | getRewriteOptionsOrBuilder () Options that control the type and amount of graph rewriting. |
| int यहाँ | getTimelineStep () If > 0, record a timeline every this many steps. |
| बूलियन | हैऑप्टिमाइज़रऑप्शंस () Options controlling how graph is optimized. |
| बूलियन | hasRewriteOptions () Options that control the type and amount of graph rewriting. |
| अंतिम बूलियन | |
| ग्राफ़ऑप्शंस.बिल्डर | मर्जफ्रॉम (com.google.protobuf.Message अन्य) |
| ग्राफ़ऑप्शंस.बिल्डर | मर्जफ्रॉम (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री) |
| ग्राफ़ऑप्शंस.बिल्डर | |
| ग्राफ़ऑप्शंस.बिल्डर | |
| अंतिम ग्राफऑप्शंस.बिल्डर | मर्जअज्ञातफ़ील्ड्स (com.google.protobuf.UnknownFieldSet अज्ञातफ़ील्ड्स) |
| ग्राफ़ऑप्शंस.बिल्डर | setBuildCostModel (लंबा मान) The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. |
| ग्राफ़ऑप्शंस.बिल्डर | setBuildCostModelAfter (लंबा मान) The number of steps to skip before collecting statistics for the cost model. |
| ग्राफ़ऑप्शंस.बिल्डर | setEnableBfloat16Sendrecv (बूलियन मान) If true, transfer float values between processes as bfloat16. |
| ग्राफ़ऑप्शंस.बिल्डर | setEnableRecvScheduling (बूलियन मान) If true, use control flow to schedule the activation of Recv nodes. |
| ग्राफ़ऑप्शंस.बिल्डर | सेटफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान) |
| ग्राफ़ऑप्शंस.बिल्डर | setInferShapes (बूलियन मान) Annotate each Node with Op output shape data, to the extent it can be statically inferred. |
| ग्राफ़ऑप्शंस.बिल्डर | |
| ग्राफ़ऑप्शंस.बिल्डर | सेटऑप्टिमाइज़रऑप्शंस ( ऑप्टिमाइज़रऑप्शंस.बिल्डर बिल्डरफॉरवैल्यू) Options controlling how graph is optimized. |
| ग्राफ़ऑप्शंस.बिल्डर | setPlacePrunedGraph (बूलियन मान) Only place the subgraphs that are run, rather than the entire graph. |
| ग्राफ़ऑप्शंस.बिल्डर | setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, इंट इंडेक्स, ऑब्जेक्ट वैल्यू) |
| ग्राफ़ऑप्शंस.बिल्डर | setRewriteOptions ( RewriterConfig.Builder BuilderForValue) Options that control the type and amount of graph rewriting. |
| ग्राफ़ऑप्शंस.बिल्डर | setRewriteOptions ( RewriterConfig मान) Options that control the type and amount of graph rewriting. |
| ग्राफ़ऑप्शंस.बिल्डर | सेटटाइमलाइनस्टेप (int मान) If > 0, record a timeline every this many steps. |
| अंतिम ग्राफऑप्शंस.बिल्डर | अज्ञात फ़ील्ड सेट करें (com.google.protobuf. अज्ञात फ़ील्ड सेट अज्ञात फ़ील्ड) |
विरासत में मिले तरीके
सार्वजनिक तरीके
सार्वजनिक GraphOptions.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)
सार्वजनिक ग्राफऑप्शन.बिल्डर क्लियरबिल्डकॉस्टमॉडल ()
The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. 0 means no cost model.
int64 build_cost_model = 4; सार्वजनिक ग्राफऑप्शन.बिल्डर क्लियरबिल्डकॉस्टमॉडलआफ्टर ()
The number of steps to skip before collecting statistics for the cost model.
int64 build_cost_model_after = 9; सार्वजनिक GraphOptions.Builder ClearEnableBfloat16Sendrecv ()
If true, transfer float values between processes as bfloat16.
bool enable_bfloat16_sendrecv = 7; सार्वजनिक GraphOptions.Builder ClearEnableRecvScheduling ()
If true, use control flow to schedule the activation of Recv nodes. (Currently ignored.)
bool enable_recv_scheduling = 2; सार्वजनिक GraphOptions.Builder ClearInferShapes ()
Annotate each Node with Op output shape data, to the extent it can be statically inferred.
bool infer_shapes = 5; सार्वजनिक ग्राफऑप्शन.बिल्डर क्लियरऑप्टिमाइज़रऑप्शन ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; सार्वजनिक ग्राफऑप्शन.बिल्डर क्लियरप्लेसप्रुनडग्राफ ()
Only place the subgraphs that are run, rather than the entire graph. This is useful for interactive graph building, where one might produce graphs that cannot be placed during the debugging process. In particular, it allows the client to continue work in a session after adding a node to a graph whose placement constraints are unsatisfiable.
bool place_pruned_graph = 6; सार्वजनिक GraphOptions.Builder ClearRewriteOptions ()
Options that control the type and amount of graph rewriting. Not currently configurable via the public Python API (i.e. there is no API stability guarantee if you import RewriterConfig explicitly).
.tensorflow.RewriterConfig rewrite_options = 10; सार्वजनिक ग्राफऑप्शन.बिल्डर क्लियरटाइमलाइनस्टेप ()
If > 0, record a timeline every this many steps. EXPERIMENTAL: This currently has no effect in MasterSession.
int32 timeline_step = 8; सार्वजनिक लंबा getBuildCostModel ()
The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. 0 means no cost model.
int64 build_cost_model = 4; सार्वजनिक लंबे समय तक getBuildCostModelAfter ()
The number of steps to skip before collecting statistics for the cost model.
int64 build_cost_model_after = 9; सार्वजनिक स्थैतिक अंतिम com.google.protobuf.Descriptors.Descriptor getDescriptor ()
सार्वजनिक com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
सार्वजनिक बूलियन getEnableBfloat16Sendrecv ()
If true, transfer float values between processes as bfloat16.
bool enable_bfloat16_sendrecv = 7; सार्वजनिक बूलियन getEnableRecvScheduling ()
If true, use control flow to schedule the activation of Recv nodes. (Currently ignored.)
bool enable_recv_scheduling = 2; सार्वजनिक बूलियन getInferShapes ()
Annotate each Node with Op output shape data, to the extent it can be statically inferred.
bool infer_shapes = 5; सार्वजनिक ऑप्टिमाइज़रऑप्शंस getऑप्टिमाइज़रऑप्शंस ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; सार्वजनिक ऑप्टिमाइज़रऑप्शन.बिल्डर getऑप्टिमाइज़रऑप्शनबिल्डर ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; सार्वजनिक ऑप्टिमाइज़रऑप्शनऑरबिल्डर getऑप्टिमाइज़रऑप्शनऑरबिल्डर ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; सार्वजनिक बूलियन getPlacePrunedGraph ()
Only place the subgraphs that are run, rather than the entire graph. This is useful for interactive graph building, where one might produce graphs that cannot be placed during the debugging process. In particular, it allows the client to continue work in a session after adding a node to a graph whose placement constraints are unsatisfiable.
bool place_pruned_graph = 6; सार्वजनिक रिवाइटरकॉन्फिग getRewriteOptions ()
Options that control the type and amount of graph rewriting. Not currently configurable via the public Python API (i.e. there is no API stability guarantee if you import RewriterConfig explicitly).
.tensorflow.RewriterConfig rewrite_options = 10; सार्वजनिक RewriterConfig.Builder getRewriteOptionsBuilder ()
Options that control the type and amount of graph rewriting. Not currently configurable via the public Python API (i.e. there is no API stability guarantee if you import RewriterConfig explicitly).
.tensorflow.RewriterConfig rewrite_options = 10; सार्वजनिक RewriterConfigOrBuilder getRewriteOptionsOrBuilder ()
Options that control the type and amount of graph rewriting. Not currently configurable via the public Python API (i.e. there is no API stability guarantee if you import RewriterConfig explicitly).
.tensorflow.RewriterConfig rewrite_options = 10; सार्वजनिक int getTimelineStep ()
If > 0, record a timeline every this many steps. EXPERIMENTAL: This currently has no effect in MasterSession.
int32 timeline_step = 8; सार्वजनिक बूलियन में ऑप्टिमाइज़र विकल्प हैं ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; सार्वजनिक बूलियन hasRewriteOptions ()
Options that control the type and amount of graph rewriting. Not currently configurable via the public Python API (i.e. there is no API stability guarantee if you import RewriterConfig explicitly).
.tensorflow.RewriterConfig rewrite_options = 10; सार्वजनिक अंतिम बूलियन आरंभीकृत है ()
सार्वजनिक ग्राफऑप्शन.बिल्डर मर्जफ्रॉम (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
फेंकता
| आईओ अपवाद |
|---|
सार्वजनिक ग्राफऑप्शन.बिल्डर मर्जऑप्टिमाइज़रऑप्शन ( ऑप्टिमाइज़रऑप्शन मान)
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; सार्वजनिक GraphOptions.Builder mergeRewriteOptions ( RewriterConfig मान)
Options that control the type and amount of graph rewriting. Not currently configurable via the public Python API (i.e. there is no API stability guarantee if you import RewriterConfig explicitly).
.tensorflow.RewriterConfig rewrite_options = 10; सार्वजनिक अंतिम ग्राफ़ऑप्शन.बिल्डर मर्जअज्ञातफ़ील्ड्स (com.google.protobuf.UnknownFieldSet अज्ञातफ़ील्ड्स)
सार्वजनिक GraphOptions.Builder setBuildCostModel (लंबा मान)
The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. 0 means no cost model.
int64 build_cost_model = 4; सार्वजनिक GraphOptions.Builder setBuildCostModelAfter (लंबा मान)
The number of steps to skip before collecting statistics for the cost model.
int64 build_cost_model_after = 9; सार्वजनिक GraphOptions.Builder setEnableBfloat16Sendrecv (बूलियन मान)
If true, transfer float values between processes as bfloat16.
bool enable_bfloat16_sendrecv = 7; सार्वजनिक GraphOptions.Builder setEnableRecvScheduling (बूलियन मान)
If true, use control flow to schedule the activation of Recv nodes. (Currently ignored.)
bool enable_recv_scheduling = 2; सार्वजनिक GraphOptions.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)
सार्वजनिक GraphOptions.Builder setInferShapes (बूलियन मान)
Annotate each Node with Op output shape data, to the extent it can be statically inferred.
bool infer_shapes = 5; सार्वजनिक ग्राफऑप्शन.बिल्डर सेटऑप्टिमाइज़रऑप्शन ( ऑप्टिमाइज़रऑप्शन मान)
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; सार्वजनिक ग्राफऑप्शन.बिल्डर सेटऑप्टिमाइज़रऑप्शन ( ऑप्टिमाइज़रऑप्शन.बिल्डर बिल्डरफॉरवैल्यू)
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; सार्वजनिक GraphOptions.Builder setPlacePrunedGraph (बूलियन मान)
Only place the subgraphs that are run, rather than the entire graph. This is useful for interactive graph building, where one might produce graphs that cannot be placed during the debugging process. In particular, it allows the client to continue work in a session after adding a node to a graph whose placement constraints are unsatisfiable.
bool place_pruned_graph = 6; सार्वजनिक GraphOptions.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, int अनुक्रमणिका, ऑब्जेक्ट मान)
सार्वजनिक GraphOptions.Builder setRewriteOptions ( RewriterConfig.Builder BuilderForValue)
Options that control the type and amount of graph rewriting. Not currently configurable via the public Python API (i.e. there is no API stability guarantee if you import RewriterConfig explicitly).
.tensorflow.RewriterConfig rewrite_options = 10; सार्वजनिक GraphOptions.Builder setRewriteOptions ( RewriterConfig मान)
Options that control the type and amount of graph rewriting. Not currently configurable via the public Python API (i.e. there is no API stability guarantee if you import RewriterConfig explicitly).
.tensorflow.RewriterConfig rewrite_options = 10; सार्वजनिक ग्राफऑप्शन.बिल्डर सेटटाइमलाइनस्टेप (int मान)
If > 0, record a timeline every this many steps. EXPERIMENTAL: This currently has no effect in MasterSession.
int32 timeline_step = 8;