All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.tensorflow.framework.GraphOptions Maven / Gradle / Ivy

There is a newer version: 1.0.0-M2.1
Show newest version
// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: tensorflow/core/protobuf/config.proto

package org.tensorflow.framework;

/**
 * Protobuf type {@code tensorflow.GraphOptions}
 */
public  final class GraphOptions extends
    org.nd4j.shade.protobuf.GeneratedMessageV3 implements
    // @@protoc_insertion_point(message_implements:tensorflow.GraphOptions)
    GraphOptionsOrBuilder {
private static final long serialVersionUID = 0L;
  // Use GraphOptions.newBuilder() to construct.
  private GraphOptions(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
    super(builder);
  }
  private GraphOptions() {
    enableRecvScheduling_ = false;
    buildCostModel_ = 0L;
    buildCostModelAfter_ = 0L;
    inferShapes_ = false;
    placePrunedGraph_ = false;
    enableBfloat16Sendrecv_ = false;
    timelineStep_ = 0;
  }

  @java.lang.Override
  public final org.nd4j.shade.protobuf.UnknownFieldSet
  getUnknownFields() {
    return this.unknownFields;
  }
  private GraphOptions(
      org.nd4j.shade.protobuf.CodedInputStream input,
      org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
      throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
    this();
    if (extensionRegistry == null) {
      throw new java.lang.NullPointerException();
    }
    int mutable_bitField0_ = 0;
    org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
        org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
    try {
      boolean done = false;
      while (!done) {
        int tag = input.readTag();
        switch (tag) {
          case 0:
            done = true;
            break;
          default: {
            if (!parseUnknownFieldProto3(
                input, unknownFields, extensionRegistry, tag)) {
              done = true;
            }
            break;
          }
          case 16: {

            enableRecvScheduling_ = input.readBool();
            break;
          }
          case 26: {
            org.tensorflow.framework.OptimizerOptions.Builder subBuilder = null;
            if (optimizerOptions_ != null) {
              subBuilder = optimizerOptions_.toBuilder();
            }
            optimizerOptions_ = input.readMessage(org.tensorflow.framework.OptimizerOptions.parser(), extensionRegistry);
            if (subBuilder != null) {
              subBuilder.mergeFrom(optimizerOptions_);
              optimizerOptions_ = subBuilder.buildPartial();
            }

            break;
          }
          case 32: {

            buildCostModel_ = input.readInt64();
            break;
          }
          case 40: {

            inferShapes_ = input.readBool();
            break;
          }
          case 48: {

            placePrunedGraph_ = input.readBool();
            break;
          }
          case 56: {

            enableBfloat16Sendrecv_ = input.readBool();
            break;
          }
          case 64: {

            timelineStep_ = input.readInt32();
            break;
          }
          case 72: {

            buildCostModelAfter_ = input.readInt64();
            break;
          }
          case 82: {
            org.tensorflow.framework.RewriterConfig.Builder subBuilder = null;
            if (rewriteOptions_ != null) {
              subBuilder = rewriteOptions_.toBuilder();
            }
            rewriteOptions_ = input.readMessage(org.tensorflow.framework.RewriterConfig.parser(), extensionRegistry);
            if (subBuilder != null) {
              subBuilder.mergeFrom(rewriteOptions_);
              rewriteOptions_ = subBuilder.buildPartial();
            }

            break;
          }
        }
      }
    } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
      throw e.setUnfinishedMessage(this);
    } catch (java.io.IOException e) {
      throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
          e).setUnfinishedMessage(this);
    } finally {
      this.unknownFields = unknownFields.build();
      makeExtensionsImmutable();
    }
  }
  public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
      getDescriptor() {
    return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_GraphOptions_descriptor;
  }

  protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
      internalGetFieldAccessorTable() {
    return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_GraphOptions_fieldAccessorTable
        .ensureFieldAccessorsInitialized(
            org.tensorflow.framework.GraphOptions.class, org.tensorflow.framework.GraphOptions.Builder.class);
  }

  public static final int ENABLE_RECV_SCHEDULING_FIELD_NUMBER = 2;
  private boolean enableRecvScheduling_;
  /**
   * 
   * If true, use control flow to schedule the activation of Recv nodes.
   * (Currently ignored.)
   * 
* * bool enable_recv_scheduling = 2; */ public boolean getEnableRecvScheduling() { return enableRecvScheduling_; } public static final int OPTIMIZER_OPTIONS_FIELD_NUMBER = 3; private org.tensorflow.framework.OptimizerOptions optimizerOptions_; /** *
   * Options controlling how graph is optimized.
   * 
* * .tensorflow.OptimizerOptions optimizer_options = 3; */ public boolean hasOptimizerOptions() { return optimizerOptions_ != null; } /** *
   * Options controlling how graph is optimized.
   * 
* * .tensorflow.OptimizerOptions optimizer_options = 3; */ public org.tensorflow.framework.OptimizerOptions getOptimizerOptions() { return optimizerOptions_ == null ? org.tensorflow.framework.OptimizerOptions.getDefaultInstance() : optimizerOptions_; } /** *
   * Options controlling how graph is optimized.
   * 
* * .tensorflow.OptimizerOptions optimizer_options = 3; */ public org.tensorflow.framework.OptimizerOptionsOrBuilder getOptimizerOptionsOrBuilder() { return getOptimizerOptions(); } public static final int BUILD_COST_MODEL_FIELD_NUMBER = 4; private long buildCostModel_; /** *
   * 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 getBuildCostModel() { return buildCostModel_; } public static final int BUILD_COST_MODEL_AFTER_FIELD_NUMBER = 9; private long buildCostModelAfter_; /** *
   * The number of steps to skip before collecting statistics for the
   * cost model.
   * 
* * int64 build_cost_model_after = 9; */ public long getBuildCostModelAfter() { return buildCostModelAfter_; } public static final int INFER_SHAPES_FIELD_NUMBER = 5; private boolean inferShapes_; /** *
   * Annotate each Node with Op output shape data, to the extent it can
   * be statically inferred.
   * 
* * bool infer_shapes = 5; */ public boolean getInferShapes() { return inferShapes_; } public static final int PLACE_PRUNED_GRAPH_FIELD_NUMBER = 6; private boolean placePrunedGraph_; /** *
   * 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 boolean getPlacePrunedGraph() { return placePrunedGraph_; } public static final int ENABLE_BFLOAT16_SENDRECV_FIELD_NUMBER = 7; private boolean enableBfloat16Sendrecv_; /** *
   * If true, transfer float values between processes as bfloat16.
   * 
* * bool enable_bfloat16_sendrecv = 7; */ public boolean getEnableBfloat16Sendrecv() { return enableBfloat16Sendrecv_; } public static final int TIMELINE_STEP_FIELD_NUMBER = 8; private int timelineStep_; /** *
   * If > 0, record a timeline every this many steps.
   * EXPERIMENTAL: This currently has no effect in MasterSession.
   * 
* * int32 timeline_step = 8; */ public int getTimelineStep() { return timelineStep_; } public static final int REWRITE_OPTIONS_FIELD_NUMBER = 10; private org.tensorflow.framework.RewriterConfig rewriteOptions_; /** *
   * 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 boolean hasRewriteOptions() { return rewriteOptions_ != null; } /** *
   * 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 org.tensorflow.framework.RewriterConfig getRewriteOptions() { return rewriteOptions_ == null ? org.tensorflow.framework.RewriterConfig.getDefaultInstance() : rewriteOptions_; } /** *
   * 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 org.tensorflow.framework.RewriterConfigOrBuilder getRewriteOptionsOrBuilder() { return getRewriteOptions(); } private byte memoizedIsInitialized = -1; public final boolean isInitialized() { byte isInitialized = memoizedIsInitialized; if (isInitialized == 1) return true; if (isInitialized == 0) return false; memoizedIsInitialized = 1; return true; } public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output) throws java.io.IOException { if (enableRecvScheduling_ != false) { output.writeBool(2, enableRecvScheduling_); } if (optimizerOptions_ != null) { output.writeMessage(3, getOptimizerOptions()); } if (buildCostModel_ != 0L) { output.writeInt64(4, buildCostModel_); } if (inferShapes_ != false) { output.writeBool(5, inferShapes_); } if (placePrunedGraph_ != false) { output.writeBool(6, placePrunedGraph_); } if (enableBfloat16Sendrecv_ != false) { output.writeBool(7, enableBfloat16Sendrecv_); } if (timelineStep_ != 0) { output.writeInt32(8, timelineStep_); } if (buildCostModelAfter_ != 0L) { output.writeInt64(9, buildCostModelAfter_); } if (rewriteOptions_ != null) { output.writeMessage(10, getRewriteOptions()); } unknownFields.writeTo(output); } public int getSerializedSize() { int size = memoizedSize; if (size != -1) return size; size = 0; if (enableRecvScheduling_ != false) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeBoolSize(2, enableRecvScheduling_); } if (optimizerOptions_ != null) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeMessageSize(3, getOptimizerOptions()); } if (buildCostModel_ != 0L) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeInt64Size(4, buildCostModel_); } if (inferShapes_ != false) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeBoolSize(5, inferShapes_); } if (placePrunedGraph_ != false) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeBoolSize(6, placePrunedGraph_); } if (enableBfloat16Sendrecv_ != false) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeBoolSize(7, enableBfloat16Sendrecv_); } if (timelineStep_ != 0) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeInt32Size(8, timelineStep_); } if (buildCostModelAfter_ != 0L) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeInt64Size(9, buildCostModelAfter_); } if (rewriteOptions_ != null) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeMessageSize(10, getRewriteOptions()); } size += unknownFields.getSerializedSize(); memoizedSize = size; return size; } @java.lang.Override public boolean equals(final java.lang.Object obj) { if (obj == this) { return true; } if (!(obj instanceof org.tensorflow.framework.GraphOptions)) { return super.equals(obj); } org.tensorflow.framework.GraphOptions other = (org.tensorflow.framework.GraphOptions) obj; boolean result = true; result = result && (getEnableRecvScheduling() == other.getEnableRecvScheduling()); result = result && (hasOptimizerOptions() == other.hasOptimizerOptions()); if (hasOptimizerOptions()) { result = result && getOptimizerOptions() .equals(other.getOptimizerOptions()); } result = result && (getBuildCostModel() == other.getBuildCostModel()); result = result && (getBuildCostModelAfter() == other.getBuildCostModelAfter()); result = result && (getInferShapes() == other.getInferShapes()); result = result && (getPlacePrunedGraph() == other.getPlacePrunedGraph()); result = result && (getEnableBfloat16Sendrecv() == other.getEnableBfloat16Sendrecv()); result = result && (getTimelineStep() == other.getTimelineStep()); result = result && (hasRewriteOptions() == other.hasRewriteOptions()); if (hasRewriteOptions()) { result = result && getRewriteOptions() .equals(other.getRewriteOptions()); } result = result && unknownFields.equals(other.unknownFields); return result; } @java.lang.Override public int hashCode() { if (memoizedHashCode != 0) { return memoizedHashCode; } int hash = 41; hash = (19 * hash) + getDescriptor().hashCode(); hash = (37 * hash) + ENABLE_RECV_SCHEDULING_FIELD_NUMBER; hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashBoolean( getEnableRecvScheduling()); if (hasOptimizerOptions()) { hash = (37 * hash) + OPTIMIZER_OPTIONS_FIELD_NUMBER; hash = (53 * hash) + getOptimizerOptions().hashCode(); } hash = (37 * hash) + BUILD_COST_MODEL_FIELD_NUMBER; hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashLong( getBuildCostModel()); hash = (37 * hash) + BUILD_COST_MODEL_AFTER_FIELD_NUMBER; hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashLong( getBuildCostModelAfter()); hash = (37 * hash) + INFER_SHAPES_FIELD_NUMBER; hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashBoolean( getInferShapes()); hash = (37 * hash) + PLACE_PRUNED_GRAPH_FIELD_NUMBER; hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashBoolean( getPlacePrunedGraph()); hash = (37 * hash) + ENABLE_BFLOAT16_SENDRECV_FIELD_NUMBER; hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashBoolean( getEnableBfloat16Sendrecv()); hash = (37 * hash) + TIMELINE_STEP_FIELD_NUMBER; hash = (53 * hash) + getTimelineStep(); if (hasRewriteOptions()) { hash = (37 * hash) + REWRITE_OPTIONS_FIELD_NUMBER; hash = (53 * hash) + getRewriteOptions().hashCode(); } hash = (29 * hash) + unknownFields.hashCode(); memoizedHashCode = hash; return hash; } public static org.tensorflow.framework.GraphOptions parseFrom( java.nio.ByteBuffer data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.framework.GraphOptions parseFrom( java.nio.ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static org.tensorflow.framework.GraphOptions parseFrom( org.nd4j.shade.protobuf.ByteString data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.framework.GraphOptions parseFrom( org.nd4j.shade.protobuf.ByteString data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static org.tensorflow.framework.GraphOptions parseFrom(byte[] data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.framework.GraphOptions parseFrom( byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static org.tensorflow.framework.GraphOptions parseFrom(java.io.InputStream input) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input); } public static org.tensorflow.framework.GraphOptions parseFrom( java.io.InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input, extensionRegistry); } public static org.tensorflow.framework.GraphOptions parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseDelimitedWithIOException(PARSER, input); } public static org.tensorflow.framework.GraphOptions parseDelimitedFrom( java.io.InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseDelimitedWithIOException(PARSER, input, extensionRegistry); } public static org.tensorflow.framework.GraphOptions parseFrom( org.nd4j.shade.protobuf.CodedInputStream input) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input); } public static org.tensorflow.framework.GraphOptions parseFrom( org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input, extensionRegistry); } public Builder newBuilderForType() { return newBuilder(); } public static Builder newBuilder() { return DEFAULT_INSTANCE.toBuilder(); } public static Builder newBuilder(org.tensorflow.framework.GraphOptions prototype) { return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); } public Builder toBuilder() { return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); } @java.lang.Override protected Builder newBuilderForType( org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) { Builder builder = new Builder(parent); return builder; } /** * Protobuf type {@code tensorflow.GraphOptions} */ public static final class Builder extends org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements // @@protoc_insertion_point(builder_implements:tensorflow.GraphOptions) org.tensorflow.framework.GraphOptionsOrBuilder { public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor() { return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_GraphOptions_descriptor; } protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable() { return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_GraphOptions_fieldAccessorTable .ensureFieldAccessorsInitialized( org.tensorflow.framework.GraphOptions.class, org.tensorflow.framework.GraphOptions.Builder.class); } // Construct using org.tensorflow.framework.GraphOptions.newBuilder() private Builder() { maybeForceBuilderInitialization(); } private Builder( org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) { super(parent); maybeForceBuilderInitialization(); } private void maybeForceBuilderInitialization() { if (org.nd4j.shade.protobuf.GeneratedMessageV3 .alwaysUseFieldBuilders) { } } public Builder clear() { super.clear(); enableRecvScheduling_ = false; if (optimizerOptionsBuilder_ == null) { optimizerOptions_ = null; } else { optimizerOptions_ = null; optimizerOptionsBuilder_ = null; } buildCostModel_ = 0L; buildCostModelAfter_ = 0L; inferShapes_ = false; placePrunedGraph_ = false; enableBfloat16Sendrecv_ = false; timelineStep_ = 0; if (rewriteOptionsBuilder_ == null) { rewriteOptions_ = null; } else { rewriteOptions_ = null; rewriteOptionsBuilder_ = null; } return this; } public org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptorForType() { return org.tensorflow.framework.ConfigProtos.internal_static_tensorflow_GraphOptions_descriptor; } public org.tensorflow.framework.GraphOptions getDefaultInstanceForType() { return org.tensorflow.framework.GraphOptions.getDefaultInstance(); } public org.tensorflow.framework.GraphOptions build() { org.tensorflow.framework.GraphOptions result = buildPartial(); if (!result.isInitialized()) { throw newUninitializedMessageException(result); } return result; } public org.tensorflow.framework.GraphOptions buildPartial() { org.tensorflow.framework.GraphOptions result = new org.tensorflow.framework.GraphOptions(this); result.enableRecvScheduling_ = enableRecvScheduling_; if (optimizerOptionsBuilder_ == null) { result.optimizerOptions_ = optimizerOptions_; } else { result.optimizerOptions_ = optimizerOptionsBuilder_.build(); } result.buildCostModel_ = buildCostModel_; result.buildCostModelAfter_ = buildCostModelAfter_; result.inferShapes_ = inferShapes_; result.placePrunedGraph_ = placePrunedGraph_; result.enableBfloat16Sendrecv_ = enableBfloat16Sendrecv_; result.timelineStep_ = timelineStep_; if (rewriteOptionsBuilder_ == null) { result.rewriteOptions_ = rewriteOptions_; } else { result.rewriteOptions_ = rewriteOptionsBuilder_.build(); } onBuilt(); return result; } public Builder clone() { return (Builder) super.clone(); } public Builder setField( org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { return (Builder) super.setField(field, value); } public Builder clearField( org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) { return (Builder) super.clearField(field); } public Builder clearOneof( org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) { return (Builder) super.clearOneof(oneof); } public Builder setRepeatedField( org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { return (Builder) super.setRepeatedField(field, index, value); } public Builder addRepeatedField( org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { return (Builder) super.addRepeatedField(field, value); } public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) { if (other instanceof org.tensorflow.framework.GraphOptions) { return mergeFrom((org.tensorflow.framework.GraphOptions)other); } else { super.mergeFrom(other); return this; } } public Builder mergeFrom(org.tensorflow.framework.GraphOptions other) { if (other == org.tensorflow.framework.GraphOptions.getDefaultInstance()) return this; if (other.getEnableRecvScheduling() != false) { setEnableRecvScheduling(other.getEnableRecvScheduling()); } if (other.hasOptimizerOptions()) { mergeOptimizerOptions(other.getOptimizerOptions()); } if (other.getBuildCostModel() != 0L) { setBuildCostModel(other.getBuildCostModel()); } if (other.getBuildCostModelAfter() != 0L) { setBuildCostModelAfter(other.getBuildCostModelAfter()); } if (other.getInferShapes() != false) { setInferShapes(other.getInferShapes()); } if (other.getPlacePrunedGraph() != false) { setPlacePrunedGraph(other.getPlacePrunedGraph()); } if (other.getEnableBfloat16Sendrecv() != false) { setEnableBfloat16Sendrecv(other.getEnableBfloat16Sendrecv()); } if (other.getTimelineStep() != 0) { setTimelineStep(other.getTimelineStep()); } if (other.hasRewriteOptions()) { mergeRewriteOptions(other.getRewriteOptions()); } this.mergeUnknownFields(other.unknownFields); onChanged(); return this; } public final boolean isInitialized() { return true; } public Builder mergeFrom( org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { org.tensorflow.framework.GraphOptions parsedMessage = null; try { parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) { parsedMessage = (org.tensorflow.framework.GraphOptions) e.getUnfinishedMessage(); throw e.unwrapIOException(); } finally { if (parsedMessage != null) { mergeFrom(parsedMessage); } } return this; } private boolean enableRecvScheduling_ ; /** *
     * If true, use control flow to schedule the activation of Recv nodes.
     * (Currently ignored.)
     * 
* * bool enable_recv_scheduling = 2; */ public boolean getEnableRecvScheduling() { return enableRecvScheduling_; } /** *
     * If true, use control flow to schedule the activation of Recv nodes.
     * (Currently ignored.)
     * 
* * bool enable_recv_scheduling = 2; */ public Builder setEnableRecvScheduling(boolean value) { enableRecvScheduling_ = value; onChanged(); return this; } /** *
     * If true, use control flow to schedule the activation of Recv nodes.
     * (Currently ignored.)
     * 
* * bool enable_recv_scheduling = 2; */ public Builder clearEnableRecvScheduling() { enableRecvScheduling_ = false; onChanged(); return this; } private org.tensorflow.framework.OptimizerOptions optimizerOptions_ = null; private org.nd4j.shade.protobuf.SingleFieldBuilderV3< org.tensorflow.framework.OptimizerOptions, org.tensorflow.framework.OptimizerOptions.Builder, org.tensorflow.framework.OptimizerOptionsOrBuilder> optimizerOptionsBuilder_; /** *
     * Options controlling how graph is optimized.
     * 
* * .tensorflow.OptimizerOptions optimizer_options = 3; */ public boolean hasOptimizerOptions() { return optimizerOptionsBuilder_ != null || optimizerOptions_ != null; } /** *
     * Options controlling how graph is optimized.
     * 
* * .tensorflow.OptimizerOptions optimizer_options = 3; */ public org.tensorflow.framework.OptimizerOptions getOptimizerOptions() { if (optimizerOptionsBuilder_ == null) { return optimizerOptions_ == null ? org.tensorflow.framework.OptimizerOptions.getDefaultInstance() : optimizerOptions_; } else { return optimizerOptionsBuilder_.getMessage(); } } /** *
     * Options controlling how graph is optimized.
     * 
* * .tensorflow.OptimizerOptions optimizer_options = 3; */ public Builder setOptimizerOptions(org.tensorflow.framework.OptimizerOptions value) { if (optimizerOptionsBuilder_ == null) { if (value == null) { throw new NullPointerException(); } optimizerOptions_ = value; onChanged(); } else { optimizerOptionsBuilder_.setMessage(value); } return this; } /** *
     * Options controlling how graph is optimized.
     * 
* * .tensorflow.OptimizerOptions optimizer_options = 3; */ public Builder setOptimizerOptions( org.tensorflow.framework.OptimizerOptions.Builder builderForValue) { if (optimizerOptionsBuilder_ == null) { optimizerOptions_ = builderForValue.build(); onChanged(); } else { optimizerOptionsBuilder_.setMessage(builderForValue.build()); } return this; } /** *
     * Options controlling how graph is optimized.
     * 
* * .tensorflow.OptimizerOptions optimizer_options = 3; */ public Builder mergeOptimizerOptions(org.tensorflow.framework.OptimizerOptions value) { if (optimizerOptionsBuilder_ == null) { if (optimizerOptions_ != null) { optimizerOptions_ = org.tensorflow.framework.OptimizerOptions.newBuilder(optimizerOptions_).mergeFrom(value).buildPartial(); } else { optimizerOptions_ = value; } onChanged(); } else { optimizerOptionsBuilder_.mergeFrom(value); } return this; } /** *
     * Options controlling how graph is optimized.
     * 
* * .tensorflow.OptimizerOptions optimizer_options = 3; */ public Builder clearOptimizerOptions() { if (optimizerOptionsBuilder_ == null) { optimizerOptions_ = null; onChanged(); } else { optimizerOptions_ = null; optimizerOptionsBuilder_ = null; } return this; } /** *
     * Options controlling how graph is optimized.
     * 
* * .tensorflow.OptimizerOptions optimizer_options = 3; */ public org.tensorflow.framework.OptimizerOptions.Builder getOptimizerOptionsBuilder() { onChanged(); return getOptimizerOptionsFieldBuilder().getBuilder(); } /** *
     * Options controlling how graph is optimized.
     * 
* * .tensorflow.OptimizerOptions optimizer_options = 3; */ public org.tensorflow.framework.OptimizerOptionsOrBuilder getOptimizerOptionsOrBuilder() { if (optimizerOptionsBuilder_ != null) { return optimizerOptionsBuilder_.getMessageOrBuilder(); } else { return optimizerOptions_ == null ? org.tensorflow.framework.OptimizerOptions.getDefaultInstance() : optimizerOptions_; } } /** *
     * Options controlling how graph is optimized.
     * 
* * .tensorflow.OptimizerOptions optimizer_options = 3; */ private org.nd4j.shade.protobuf.SingleFieldBuilderV3< org.tensorflow.framework.OptimizerOptions, org.tensorflow.framework.OptimizerOptions.Builder, org.tensorflow.framework.OptimizerOptionsOrBuilder> getOptimizerOptionsFieldBuilder() { if (optimizerOptionsBuilder_ == null) { optimizerOptionsBuilder_ = new org.nd4j.shade.protobuf.SingleFieldBuilderV3< org.tensorflow.framework.OptimizerOptions, org.tensorflow.framework.OptimizerOptions.Builder, org.tensorflow.framework.OptimizerOptionsOrBuilder>( getOptimizerOptions(), getParentForChildren(), isClean()); optimizerOptions_ = null; } return optimizerOptionsBuilder_; } private long buildCostModel_ ; /** *
     * 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 getBuildCostModel() { return buildCostModel_; } /** *
     * 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 Builder setBuildCostModel(long value) { buildCostModel_ = value; onChanged(); return this; } /** *
     * 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 Builder clearBuildCostModel() { buildCostModel_ = 0L; onChanged(); return this; } private long buildCostModelAfter_ ; /** *
     * The number of steps to skip before collecting statistics for the
     * cost model.
     * 
* * int64 build_cost_model_after = 9; */ public long getBuildCostModelAfter() { return buildCostModelAfter_; } /** *
     * The number of steps to skip before collecting statistics for the
     * cost model.
     * 
* * int64 build_cost_model_after = 9; */ public Builder setBuildCostModelAfter(long value) { buildCostModelAfter_ = value; onChanged(); return this; } /** *
     * The number of steps to skip before collecting statistics for the
     * cost model.
     * 
* * int64 build_cost_model_after = 9; */ public Builder clearBuildCostModelAfter() { buildCostModelAfter_ = 0L; onChanged(); return this; } private boolean inferShapes_ ; /** *
     * Annotate each Node with Op output shape data, to the extent it can
     * be statically inferred.
     * 
* * bool infer_shapes = 5; */ public boolean getInferShapes() { return inferShapes_; } /** *
     * Annotate each Node with Op output shape data, to the extent it can
     * be statically inferred.
     * 
* * bool infer_shapes = 5; */ public Builder setInferShapes(boolean value) { inferShapes_ = value; onChanged(); return this; } /** *
     * Annotate each Node with Op output shape data, to the extent it can
     * be statically inferred.
     * 
* * bool infer_shapes = 5; */ public Builder clearInferShapes() { inferShapes_ = false; onChanged(); return this; } private boolean placePrunedGraph_ ; /** *
     * 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 boolean getPlacePrunedGraph() { return placePrunedGraph_; } /** *
     * 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 Builder setPlacePrunedGraph(boolean value) { placePrunedGraph_ = value; onChanged(); return this; } /** *
     * 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 Builder clearPlacePrunedGraph() { placePrunedGraph_ = false; onChanged(); return this; } private boolean enableBfloat16Sendrecv_ ; /** *
     * If true, transfer float values between processes as bfloat16.
     * 
* * bool enable_bfloat16_sendrecv = 7; */ public boolean getEnableBfloat16Sendrecv() { return enableBfloat16Sendrecv_; } /** *
     * If true, transfer float values between processes as bfloat16.
     * 
* * bool enable_bfloat16_sendrecv = 7; */ public Builder setEnableBfloat16Sendrecv(boolean value) { enableBfloat16Sendrecv_ = value; onChanged(); return this; } /** *
     * If true, transfer float values between processes as bfloat16.
     * 
* * bool enable_bfloat16_sendrecv = 7; */ public Builder clearEnableBfloat16Sendrecv() { enableBfloat16Sendrecv_ = false; onChanged(); return this; } private int timelineStep_ ; /** *
     * If > 0, record a timeline every this many steps.
     * EXPERIMENTAL: This currently has no effect in MasterSession.
     * 
* * int32 timeline_step = 8; */ public int getTimelineStep() { return timelineStep_; } /** *
     * If > 0, record a timeline every this many steps.
     * EXPERIMENTAL: This currently has no effect in MasterSession.
     * 
* * int32 timeline_step = 8; */ public Builder setTimelineStep(int value) { timelineStep_ = value; onChanged(); return this; } /** *
     * If > 0, record a timeline every this many steps.
     * EXPERIMENTAL: This currently has no effect in MasterSession.
     * 
* * int32 timeline_step = 8; */ public Builder clearTimelineStep() { timelineStep_ = 0; onChanged(); return this; } private org.tensorflow.framework.RewriterConfig rewriteOptions_ = null; private org.nd4j.shade.protobuf.SingleFieldBuilderV3< org.tensorflow.framework.RewriterConfig, org.tensorflow.framework.RewriterConfig.Builder, org.tensorflow.framework.RewriterConfigOrBuilder> rewriteOptionsBuilder_; /** *
     * 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 boolean hasRewriteOptions() { return rewriteOptionsBuilder_ != null || rewriteOptions_ != null; } /** *
     * 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 org.tensorflow.framework.RewriterConfig getRewriteOptions() { if (rewriteOptionsBuilder_ == null) { return rewriteOptions_ == null ? org.tensorflow.framework.RewriterConfig.getDefaultInstance() : rewriteOptions_; } else { return rewriteOptionsBuilder_.getMessage(); } } /** *
     * 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 Builder setRewriteOptions(org.tensorflow.framework.RewriterConfig value) { if (rewriteOptionsBuilder_ == null) { if (value == null) { throw new NullPointerException(); } rewriteOptions_ = value; onChanged(); } else { rewriteOptionsBuilder_.setMessage(value); } return this; } /** *
     * 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 Builder setRewriteOptions( org.tensorflow.framework.RewriterConfig.Builder builderForValue) { if (rewriteOptionsBuilder_ == null) { rewriteOptions_ = builderForValue.build(); onChanged(); } else { rewriteOptionsBuilder_.setMessage(builderForValue.build()); } return this; } /** *
     * 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 Builder mergeRewriteOptions(org.tensorflow.framework.RewriterConfig value) { if (rewriteOptionsBuilder_ == null) { if (rewriteOptions_ != null) { rewriteOptions_ = org.tensorflow.framework.RewriterConfig.newBuilder(rewriteOptions_).mergeFrom(value).buildPartial(); } else { rewriteOptions_ = value; } onChanged(); } else { rewriteOptionsBuilder_.mergeFrom(value); } return this; } /** *
     * 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 Builder clearRewriteOptions() { if (rewriteOptionsBuilder_ == null) { rewriteOptions_ = null; onChanged(); } else { rewriteOptions_ = null; rewriteOptionsBuilder_ = null; } return this; } /** *
     * 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 org.tensorflow.framework.RewriterConfig.Builder getRewriteOptionsBuilder() { onChanged(); return getRewriteOptionsFieldBuilder().getBuilder(); } /** *
     * 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 org.tensorflow.framework.RewriterConfigOrBuilder getRewriteOptionsOrBuilder() { if (rewriteOptionsBuilder_ != null) { return rewriteOptionsBuilder_.getMessageOrBuilder(); } else { return rewriteOptions_ == null ? org.tensorflow.framework.RewriterConfig.getDefaultInstance() : rewriteOptions_; } } /** *
     * 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; */ private org.nd4j.shade.protobuf.SingleFieldBuilderV3< org.tensorflow.framework.RewriterConfig, org.tensorflow.framework.RewriterConfig.Builder, org.tensorflow.framework.RewriterConfigOrBuilder> getRewriteOptionsFieldBuilder() { if (rewriteOptionsBuilder_ == null) { rewriteOptionsBuilder_ = new org.nd4j.shade.protobuf.SingleFieldBuilderV3< org.tensorflow.framework.RewriterConfig, org.tensorflow.framework.RewriterConfig.Builder, org.tensorflow.framework.RewriterConfigOrBuilder>( getRewriteOptions(), getParentForChildren(), isClean()); rewriteOptions_ = null; } return rewriteOptionsBuilder_; } public final Builder setUnknownFields( final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) { return super.setUnknownFieldsProto3(unknownFields); } public final Builder mergeUnknownFields( final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) { return super.mergeUnknownFields(unknownFields); } // @@protoc_insertion_point(builder_scope:tensorflow.GraphOptions) } // @@protoc_insertion_point(class_scope:tensorflow.GraphOptions) private static final org.tensorflow.framework.GraphOptions DEFAULT_INSTANCE; static { DEFAULT_INSTANCE = new org.tensorflow.framework.GraphOptions(); } public static org.tensorflow.framework.GraphOptions getDefaultInstance() { return DEFAULT_INSTANCE; } private static final org.nd4j.shade.protobuf.Parser PARSER = new org.nd4j.shade.protobuf.AbstractParser() { public GraphOptions parsePartialFrom( org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return new GraphOptions(input, extensionRegistry); } }; public static org.nd4j.shade.protobuf.Parser parser() { return PARSER; } @java.lang.Override public org.nd4j.shade.protobuf.Parser getParserForType() { return PARSER; } public org.tensorflow.framework.GraphOptions getDefaultInstanceForType() { return DEFAULT_INSTANCE; } }




© 2015 - 2024 Weber Informatics LLC | Privacy Policy