Package org.tensorflow.framework

Interface GraphOptionsOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
GraphOptions, GraphOptions.Builder
public interface GraphOptionsOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    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.
    long
    getBuildCostModelAfter()
    The number of steps to skip before collecting statistics for the cost model.
    boolean
    getEnableBfloat16Sendrecv()
    If true, transfer float values between processes as bfloat16.
    boolean
    getEnableRecvScheduling()
    If true, use control flow to schedule the activation of Recv nodes.
    boolean
    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.
    OptimizerOptionsOrBuilder
    getOptimizerOptionsOrBuilder()
    Options controlling how graph is optimized.
    boolean
    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.
    RewriterConfigOrBuilder
    getRewriteOptionsOrBuilder()
    Options that control the type and amount of graph rewriting.
    int
    getTimelineStep()
    If > 0, record a timeline every this many steps.
    boolean
    hasOptimizerOptions()
    Options controlling how graph is optimized.
    boolean
    hasRewriteOptions()
    Options that control the type and amount of graph rewriting.

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    isInitialized

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

  • Method Details

    • getEnableRecvScheduling

      boolean getEnableRecvScheduling()
       If true, use control flow to schedule the activation of Recv nodes.
 (Currently ignored.)
      bool enable_recv_scheduling = 2;
      Returns:
      The enableRecvScheduling.

    • hasOptimizerOptions

      boolean hasOptimizerOptions()
       Options controlling how graph is optimized.
      .tensorflow.OptimizerOptions optimizer_options = 3;
      Returns:
      Whether the optimizerOptions field is set.

    • getOptimizerOptions

      OptimizerOptions getOptimizerOptions()
       Options controlling how graph is optimized.
      .tensorflow.OptimizerOptions optimizer_options = 3;
      Returns:
      The optimizerOptions.

    • getOptimizerOptionsOrBuilder

      OptimizerOptionsOrBuilder getOptimizerOptionsOrBuilder()
       Options controlling how graph is optimized.
      .tensorflow.OptimizerOptions optimizer_options = 3;

    • getBuildCostModel

      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;
      Returns:
      The buildCostModel.

    • getBuildCostModelAfter

      long getBuildCostModelAfter()
       The number of steps to skip before collecting statistics for the
 cost model.
      int64 build_cost_model_after = 9;
      Returns:
      The buildCostModelAfter.

    • getInferShapes

      boolean getInferShapes()
       Annotate each Node with Op output shape data, to the extent it can
 be statically inferred.
      bool infer_shapes = 5;
      Returns:
      The inferShapes.

    • getPlacePrunedGraph

      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;
      Returns:
      The placePrunedGraph.

    • getEnableBfloat16Sendrecv

      boolean getEnableBfloat16Sendrecv()
       If true, transfer float values between processes as bfloat16.
      bool enable_bfloat16_sendrecv = 7;
      Returns:
      The enableBfloat16Sendrecv.

    • getTimelineStep

      int getTimelineStep()
       If > 0, record a timeline every this many steps.
 EXPERIMENTAL: This currently has no effect in MasterSession.
      int32 timeline_step = 8;
      Returns:
      The timelineStep.

    • hasRewriteOptions

      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;
      Returns:
      Whether the rewriteOptions field is set.

    • getRewriteOptions

      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;
      Returns:
      The rewriteOptions.

    • getRewriteOptionsOrBuilder

      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;