classe final pública estática GraphOptions.Builder
tensorflow.GraphOptions type tensorflow.GraphOptions
Métodos Públicos
| GraphOptions.Builder | addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto) |
| GraphOptions | build () |
| GraphOptions | buildPartial () |
| GraphOptions.Builder | limpar () |
| 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 | clearInferShapes () Annotate each Node with Op output shape data, to the extent it can be statically inferred. |
| GraphOptions.Builder | clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof) |
| 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 | clone () |
| 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. |
| GraphOptions | |
| final static com.google.protobuf.Descriptors.Descriptor | |
| com.google.protobuf.Descriptors.Descriptor | |
| boleano | getEnableBfloat16Sendrecv () If true, transfer float values between processes as bfloat16. |
| boleano | getEnableRecvScheduling () If true, use control flow to schedule the activation of Recv nodes. |
| boleano | getInferShapes () Annotate each Node with Op output shape data, to the extent it can be statically inferred. |
| OptimizerOptions | getOptimizerOptions () Options controlling how graph is optimized. |
| OptimizerOptions.Builder | getOptimizerOptionsBuilder () Options controlling how graph is optimized. |
| OptimizerOptionsOrBuilder | getOptimizerOptionsOrBuilder () Options controlling how graph is optimized. |
| boleano | 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. |
| int | getTimelineStep () If > 0, record a timeline every this many steps. |
| boleano | hasOptimizerOptions () Options controlling how graph is optimized. |
| boleano | hasRewriteOptions () Options that control the type and amount of graph rewriting. |
| final booleano | |
| GraphOptions.Builder | mergeFrom (com.google.protobuf.Message other) |
| GraphOptions.Builder | mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
| GraphOptions.Builder | |
| GraphOptions.Builder | mergeRewriteOptions ( RewriterConfig valor) Options that control the type and amount of graph rewriting. |
| GraphOptions.Builder final | mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields) |
| 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 builderForValue) 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 builderForValue) Options that control the type and amount of graph rewriting. |
| GraphOptions.Builder | setRewriteOptions ( RewriterConfig valor) Options that control the type and amount of graph rewriting. |
| GraphOptions.Builder | setTimelineStep (valor int) If > 0, record a timeline every this many steps. |
| GraphOptions.Builder final | setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields) |
Métodos herdados
Métodos Públicos
public GraphOptions.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)
public 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;public GraphOptions.Builder clearBuildCostModelAfter ()
The number of steps to skip before collecting statistics for the cost model.
int64 build_cost_model_after = 9;public GraphOptions.Builder clearEnableBfloat16Sendrecv ()
If true, transfer float values between processes as bfloat16.
bool enable_bfloat16_sendrecv = 7;public GraphOptions.Builder clearEnableRecvScheduling ()
If true, use control flow to schedule the activation of Recv nodes. (Currently ignored.)
bool enable_recv_scheduling = 2;public GraphOptions.Builder clearInferShapes ()
Annotate each Node with Op output shape data, to the extent it can be statically inferred.
bool infer_shapes = 5;public GraphOptions.Builder clearOptimizerOptions ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3;public 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;public 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;public GraphOptions.Builder clearTimelineStep ()
If > 0, record a timeline every this many steps. EXPERIMENTAL: This currently has no effect in MasterSession.
int32 timeline_step = 8;public long 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;public long getBuildCostModelAfter ()
The number of steps to skip before collecting statistics for the cost model.
int64 build_cost_model_after = 9;public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
public boolean getEnableBfloat16Sendrecv ()
If true, transfer float values between processes as bfloat16.
bool enable_bfloat16_sendrecv = 7;public boolean getEnableRecvScheduling ()
If true, use control flow to schedule the activation of Recv nodes. (Currently ignored.)
bool enable_recv_scheduling = 2;public boolean getInferShapes ()
Annotate each Node with Op output shape data, to the extent it can be statically inferred.
bool infer_shapes = 5;public OptimizerOptions getOptimizerOptions ()
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;public boolean 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;pública 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;pública 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;pública 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;public int getTimelineStep ()
If > 0, record a timeline every this many steps. EXPERIMENTAL: This currently has no effect in MasterSession.
int32 timeline_step = 8;public boolean hasOptimizerOptions ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3;public boolean 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;public final boolean isInitialized ()
public GraphOptions.Builder mergeFrom (com.google.protobuf.CodedInputStream input, 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;pública GraphOptions.Builder mergeRewriteOptions ( RewriterConfig valor)
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 final GraphOptions.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
public 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;public GraphOptions.Builder setBuildCostModelAfter (valor longo)
The number of steps to skip before collecting statistics for the cost model.
int64 build_cost_model_after = 9;public GraphOptions.Builder setEnableBfloat16Sendrecv (valor booleano)
If true, transfer float values between processes as bfloat16.
bool enable_bfloat16_sendrecv = 7;public 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; public 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, int index, Object value)
pública 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;públicas GraphOptions.Builder setRewriteOptions ( RewriterConfig valor)
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 setTimelineStep (valor int)
If > 0, record a timeline every this many steps. EXPERIMENTAL: This currently has no effect in MasterSession.
int32 timeline_step = 8;