classe final estática pública GraphOptions.Builder
Tipo de protobuf tensorflow.GraphOptions
Métodos Públicos
GraphOptions.Builder | addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto) |
Opções de gráfico | construir () |
Opções de gráfico | |
GraphOptions.Builder | claro () |
GraphOptions.Builder | clearBuildCostModel () The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. |
GraphOptions.Builder | clearBuildCostModelAfter () The number of steps to skip before collecting statistics for the cost model. |
GraphOptions.Builder | clearEnableBfloat16Sendrecv () If true, transfer float values between processes as bfloat16. |
GraphOptions.Builder | clearEnableRecvScheduling () If true, use control flow to schedule the activation of Recv nodes. |
GraphOptions.Builder | clearField (campo com.google.protobuf.Descriptors.FieldDescriptor) |
GraphOptions.Builder | limparInferShapes () Annotate each Node with Op output shape data, to the extent it can be statically inferred. |
GraphOptions.Builder | clearOneof (com.google.protobuf.Descriptors.OneofDescriptor umof) |
GraphOptions.Builder | clearOptimizerOptions () Options controlling how graph is optimized. |
GraphOptions.Builder | clearPlacePrunedGraph () Only place the subgraphs that are run, rather than the entire graph. |
GraphOptions.Builder | clearRewriteOptions () Options that control the type and amount of graph rewriting. |
GraphOptions.Builder | clearTimelineStep () If > 0, record a timeline every this many steps. |
GraphOptions.Builder | clonar () |
longo | getBuildCostModel () The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. |
longo | getBuildCostModelAfter () The number of steps to skip before collecting statistics for the cost model. |
Opções de gráfico | |
final estático com.google.protobuf.Descriptors.Descriptor | |
com.google.protobuf.Descriptors.Descriptor | |
booleano | getEnableBfloat16Sendrecv () If true, transfer float values between processes as bfloat16. |
booleano | getEnableRecvScheduling () If true, use control flow to schedule the activation of Recv nodes. |
booleano | obterInferShapes () Annotate each Node with Op output shape data, to the extent it can be statically inferred. |
Opções de otimização | getOptimizerOptions () Options controlling how graph is optimized. |
OptimizerOptions.Builder | getOptimizerOptionsBuilder () Options controlling how graph is optimized. |
OptimizerOptionsOrBuilder | getOptimizerOptionsOrBuilder () Options controlling how graph is optimized. |
booleano | getPlacePrunedGraph () Only place the subgraphs that are run, rather than the entire graph. |
RewriterConfig | getRewriteOptions () Options that control the type and amount of graph rewriting. |
RewriterConfig.Builder | getRewriteOptionsBuilder () Options that control the type and amount of graph rewriting. |
RewriterConfigOrBuilder | getRewriteOptionsOrBuilder () Options that control the type and amount of graph rewriting. |
interno | getTimelineStep () If > 0, record a timeline every this many steps. |
booleano | hasOptimizerOptions () Options controlling how graph is optimized. |
booleano | hasRewriteOptions () Options that control the type and amount of graph rewriting. |
booleano final | |
GraphOptions.Builder | mergeFrom (com.google.protobuf.Message outro) |
GraphOptions.Builder | mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
GraphOptions.Builder | |
GraphOptions.Builder | mergeRewriteOptions (valor RewriterConfig ) Options that control the type and amount of graph rewriting. |
final GraphOptions.Builder | mesclarUnknownFields (com.google.protobuf.UnknownFieldSet desconhecidoFields) |
GraphOptions.Builder | setBuildCostModel (valor longo) The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. |
GraphOptions.Builder | setBuildCostModelAfter (valor longo) The number of steps to skip before collecting statistics for the cost model. |
GraphOptions.Builder | setEnableBfloat16Sendrecv (valor booleano) If true, transfer float values between processes as bfloat16. |
GraphOptions.Builder | setEnableRecvScheduling (valor booleano) If true, use control flow to schedule the activation of Recv nodes. |
GraphOptions.Builder | setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto) |
GraphOptions.Builder | setInferShapes (valor booleano) Annotate each Node with Op output shape data, to the extent it can be statically inferred. |
GraphOptions.Builder | |
GraphOptions.Builder | setOptimizerOptions ( OptimizerOptions.Builder construtorForValue) Options controlling how graph is optimized. |
GraphOptions.Builder | setPlacePrunedGraph (valor booleano) Only place the subgraphs that are run, rather than the entire graph. |
GraphOptions.Builder | setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor do objeto) |
GraphOptions.Builder | setRewriteOptions ( RewriterConfig.Builder construtorForValue) Options that control the type and amount of graph rewriting. |
GraphOptions.Builder | setRewriteOptions (valor RewriterConfig ) Options that control the type and amount of graph rewriting. |
GraphOptions.Builder | setTimelineStep (valor interno) If > 0, record a timeline every this many steps. |
final GraphOptions.Builder | setUnknownFields (com.google.protobuf.UnknownFieldSet desconhecidoFields) |
Métodos herdados
Métodos Públicos
public GraphOptions.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)
público GraphOptions.Builder clearBuildCostModel ()
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;
público GraphOptions.Builder clearBuildCostModelAfter ()
The number of steps to skip before collecting statistics for the cost model.
int64 build_cost_model_after = 9;
público GraphOptions.Builder clearEnableBfloat16Sendrecv ()
If true, transfer float values between processes as bfloat16.
bool enable_bfloat16_sendrecv = 7;
público GraphOptions.Builder clearEnableRecvScheduling ()
If true, use control flow to schedule the activation of Recv nodes. (Currently ignored.)
bool enable_recv_scheduling = 2;
público GraphOptions.Builder clearInferShapes ()
Annotate each Node with Op output shape data, to the extent it can be statically inferred.
bool infer_shapes = 5;
público GraphOptions.Builder clearOptimizerOptions ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3;
público GraphOptions.Builder clearPlacePrunedGraph ()
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;
público 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;
público GraphOptions.Builder clearTimelineStep ()
If > 0, record a timeline every this many steps. EXPERIMENTAL: This currently has no effect in MasterSession.
int32 timeline_step = 8;
público longo 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;
público longo getBuildCostModelAfter ()
The number of steps to skip before collecting statistics for the cost model.
int64 build_cost_model_after = 9;
final estático público com.google.protobuf.Descriptors.Descriptor getDescriptor ()
público com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
público booleano getEnableBfloat16Sendrecv ()
If true, transfer float values between processes as bfloat16.
bool enable_bfloat16_sendrecv = 7;
getEnableRecvScheduling booleano público ()
If true, use control flow to schedule the activation of Recv nodes. (Currently ignored.)
bool enable_recv_scheduling = 2;
getInferShapes booleano público ()
Annotate each Node with Op output shape data, to the extent it can be statically inferred.
bool infer_shapes = 5;
public OptimizerOptionsgetOptimizerOptions ( )
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3;
public OptimizerOptions.Builder getOptimizerOptionsBuilder ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3;
public OptimizerOptionsOrBuilder getOptimizerOptionsOrBuilder ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3;
getPlacePrunedGraph booleano público ()
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;
public RewriterConfig 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;
public 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;
public 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;
público int getTimelineStep ()
If > 0, record a timeline every this many steps. EXPERIMENTAL: This currently has no effect in MasterSession.
int32 timeline_step = 8;
hasOptimizerOptions booleano público ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3;
hasRewriteOptions booleano público ()
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;
público final booleano isInitialized ()
public GraphOptions.Builder mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lança
IOException |
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public GraphOptions.Builder mergeOptimizerOptions (valor OptimizerOptions )
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3;
public GraphOptions.Builder mergeRewriteOptions (valor RewriterConfig )
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;
público final GraphOptions.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconhecidoFields)
público GraphOptions.Builder setBuildCostModel (valor longo)
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;
público GraphOptions.Builder setBuildCostModelAfter (valor longo)
The number of steps to skip before collecting statistics for the cost model.
int64 build_cost_model_after = 9;
público GraphOptions.Builder setEnableBfloat16Sendrecv (valor booleano)
If true, transfer float values between processes as bfloat16.
bool enable_bfloat16_sendrecv = 7;
público GraphOptions.Builder setEnableRecvScheduling (valor booleano)
If true, use control flow to schedule the activation of Recv nodes. (Currently ignored.)
bool enable_recv_scheduling = 2;
public GraphOptions.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)
public GraphOptions.Builder setInferShapes (valor booleano)
Annotate each Node with Op output shape data, to the extent it can be statically inferred.
bool infer_shapes = 5;
public GraphOptions.Builder setOptimizerOptions (valor OptimizerOptions )
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3;
público GraphOptions.Builder setOptimizerOptions ( OptimizerOptions.Builder builderForValue)
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3;
public GraphOptions.Builder setPlacePrunedGraph (valor booleano)
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;
public GraphOptions.Builder setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor do objeto)
público 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;
public GraphOptions.Builder setRewriteOptions (valor RewriterConfig )
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;
público GraphOptions.Builder setTimelineStep (valor int)
If > 0, record a timeline every this many steps. EXPERIMENTAL: This currently has no effect in MasterSession.
int32 timeline_step = 8;