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

org.tensorflow.framework.MemoryLogStep 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/framework/log_memory.proto

package org.tensorflow.framework;

/**
 * Protobuf type {@code tensorflow.MemoryLogStep}
 */
public  final class MemoryLogStep extends
    org.nd4j.shade.protobuf.GeneratedMessageV3 implements
    // @@protoc_insertion_point(message_implements:tensorflow.MemoryLogStep)
    MemoryLogStepOrBuilder {
private static final long serialVersionUID = 0L;
  // Use MemoryLogStep.newBuilder() to construct.
  private MemoryLogStep(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
    super(builder);
  }
  private MemoryLogStep() {
    stepId_ = 0L;
    handle_ = "";
  }

  @java.lang.Override
  public final org.nd4j.shade.protobuf.UnknownFieldSet
  getUnknownFields() {
    return this.unknownFields;
  }
  private MemoryLogStep(
      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 8: {

            stepId_ = input.readInt64();
            break;
          }
          case 18: {
            java.lang.String s = input.readStringRequireUtf8();

            handle_ = s;
            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.LogMemoryProtos.internal_static_tensorflow_MemoryLogStep_descriptor;
  }

  protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
      internalGetFieldAccessorTable() {
    return org.tensorflow.framework.LogMemoryProtos.internal_static_tensorflow_MemoryLogStep_fieldAccessorTable
        .ensureFieldAccessorsInitialized(
            org.tensorflow.framework.MemoryLogStep.class, org.tensorflow.framework.MemoryLogStep.Builder.class);
  }

  public static final int STEP_ID_FIELD_NUMBER = 1;
  private long stepId_;
  /**
   * 
   * Process-unique step id.
   * 
* * int64 step_id = 1; */ public long getStepId() { return stepId_; } public static final int HANDLE_FIELD_NUMBER = 2; private volatile java.lang.Object handle_; /** *
   * Handle describing the feeds and fetches of the step.
   * 
* * string handle = 2; */ public java.lang.String getHandle() { java.lang.Object ref = handle_; if (ref instanceof java.lang.String) { return (java.lang.String) ref; } else { org.nd4j.shade.protobuf.ByteString bs = (org.nd4j.shade.protobuf.ByteString) ref; java.lang.String s = bs.toStringUtf8(); handle_ = s; return s; } } /** *
   * Handle describing the feeds and fetches of the step.
   * 
* * string handle = 2; */ public org.nd4j.shade.protobuf.ByteString getHandleBytes() { java.lang.Object ref = handle_; if (ref instanceof java.lang.String) { org.nd4j.shade.protobuf.ByteString b = org.nd4j.shade.protobuf.ByteString.copyFromUtf8( (java.lang.String) ref); handle_ = b; return b; } else { return (org.nd4j.shade.protobuf.ByteString) ref; } } 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 (stepId_ != 0L) { output.writeInt64(1, stepId_); } if (!getHandleBytes().isEmpty()) { org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 2, handle_); } unknownFields.writeTo(output); } public int getSerializedSize() { int size = memoizedSize; if (size != -1) return size; size = 0; if (stepId_ != 0L) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeInt64Size(1, stepId_); } if (!getHandleBytes().isEmpty()) { size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(2, handle_); } 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.MemoryLogStep)) { return super.equals(obj); } org.tensorflow.framework.MemoryLogStep other = (org.tensorflow.framework.MemoryLogStep) obj; boolean result = true; result = result && (getStepId() == other.getStepId()); result = result && getHandle() .equals(other.getHandle()); 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) + STEP_ID_FIELD_NUMBER; hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashLong( getStepId()); hash = (37 * hash) + HANDLE_FIELD_NUMBER; hash = (53 * hash) + getHandle().hashCode(); hash = (29 * hash) + unknownFields.hashCode(); memoizedHashCode = hash; return hash; } public static org.tensorflow.framework.MemoryLogStep parseFrom( java.nio.ByteBuffer data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.framework.MemoryLogStep 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.MemoryLogStep parseFrom( org.nd4j.shade.protobuf.ByteString data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.framework.MemoryLogStep 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.MemoryLogStep parseFrom(byte[] data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.framework.MemoryLogStep 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.MemoryLogStep parseFrom(java.io.InputStream input) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input); } public static org.tensorflow.framework.MemoryLogStep 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.MemoryLogStep parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseDelimitedWithIOException(PARSER, input); } public static org.tensorflow.framework.MemoryLogStep 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.MemoryLogStep 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.MemoryLogStep 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.MemoryLogStep 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.MemoryLogStep} */ public static final class Builder extends org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements // @@protoc_insertion_point(builder_implements:tensorflow.MemoryLogStep) org.tensorflow.framework.MemoryLogStepOrBuilder { public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor() { return org.tensorflow.framework.LogMemoryProtos.internal_static_tensorflow_MemoryLogStep_descriptor; } protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable() { return org.tensorflow.framework.LogMemoryProtos.internal_static_tensorflow_MemoryLogStep_fieldAccessorTable .ensureFieldAccessorsInitialized( org.tensorflow.framework.MemoryLogStep.class, org.tensorflow.framework.MemoryLogStep.Builder.class); } // Construct using org.tensorflow.framework.MemoryLogStep.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(); stepId_ = 0L; handle_ = ""; return this; } public org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptorForType() { return org.tensorflow.framework.LogMemoryProtos.internal_static_tensorflow_MemoryLogStep_descriptor; } public org.tensorflow.framework.MemoryLogStep getDefaultInstanceForType() { return org.tensorflow.framework.MemoryLogStep.getDefaultInstance(); } public org.tensorflow.framework.MemoryLogStep build() { org.tensorflow.framework.MemoryLogStep result = buildPartial(); if (!result.isInitialized()) { throw newUninitializedMessageException(result); } return result; } public org.tensorflow.framework.MemoryLogStep buildPartial() { org.tensorflow.framework.MemoryLogStep result = new org.tensorflow.framework.MemoryLogStep(this); result.stepId_ = stepId_; result.handle_ = handle_; 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.MemoryLogStep) { return mergeFrom((org.tensorflow.framework.MemoryLogStep)other); } else { super.mergeFrom(other); return this; } } public Builder mergeFrom(org.tensorflow.framework.MemoryLogStep other) { if (other == org.tensorflow.framework.MemoryLogStep.getDefaultInstance()) return this; if (other.getStepId() != 0L) { setStepId(other.getStepId()); } if (!other.getHandle().isEmpty()) { handle_ = other.handle_; onChanged(); } 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.MemoryLogStep parsedMessage = null; try { parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) { parsedMessage = (org.tensorflow.framework.MemoryLogStep) e.getUnfinishedMessage(); throw e.unwrapIOException(); } finally { if (parsedMessage != null) { mergeFrom(parsedMessage); } } return this; } private long stepId_ ; /** *
     * Process-unique step id.
     * 
* * int64 step_id = 1; */ public long getStepId() { return stepId_; } /** *
     * Process-unique step id.
     * 
* * int64 step_id = 1; */ public Builder setStepId(long value) { stepId_ = value; onChanged(); return this; } /** *
     * Process-unique step id.
     * 
* * int64 step_id = 1; */ public Builder clearStepId() { stepId_ = 0L; onChanged(); return this; } private java.lang.Object handle_ = ""; /** *
     * Handle describing the feeds and fetches of the step.
     * 
* * string handle = 2; */ public java.lang.String getHandle() { java.lang.Object ref = handle_; if (!(ref instanceof java.lang.String)) { org.nd4j.shade.protobuf.ByteString bs = (org.nd4j.shade.protobuf.ByteString) ref; java.lang.String s = bs.toStringUtf8(); handle_ = s; return s; } else { return (java.lang.String) ref; } } /** *
     * Handle describing the feeds and fetches of the step.
     * 
* * string handle = 2; */ public org.nd4j.shade.protobuf.ByteString getHandleBytes() { java.lang.Object ref = handle_; if (ref instanceof String) { org.nd4j.shade.protobuf.ByteString b = org.nd4j.shade.protobuf.ByteString.copyFromUtf8( (java.lang.String) ref); handle_ = b; return b; } else { return (org.nd4j.shade.protobuf.ByteString) ref; } } /** *
     * Handle describing the feeds and fetches of the step.
     * 
* * string handle = 2; */ public Builder setHandle( java.lang.String value) { if (value == null) { throw new NullPointerException(); } handle_ = value; onChanged(); return this; } /** *
     * Handle describing the feeds and fetches of the step.
     * 
* * string handle = 2; */ public Builder clearHandle() { handle_ = getDefaultInstance().getHandle(); onChanged(); return this; } /** *
     * Handle describing the feeds and fetches of the step.
     * 
* * string handle = 2; */ public Builder setHandleBytes( org.nd4j.shade.protobuf.ByteString value) { if (value == null) { throw new NullPointerException(); } checkByteStringIsUtf8(value); handle_ = value; onChanged(); return this; } 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.MemoryLogStep) } // @@protoc_insertion_point(class_scope:tensorflow.MemoryLogStep) private static final org.tensorflow.framework.MemoryLogStep DEFAULT_INSTANCE; static { DEFAULT_INSTANCE = new org.tensorflow.framework.MemoryLogStep(); } public static org.tensorflow.framework.MemoryLogStep getDefaultInstance() { return DEFAULT_INSTANCE; } private static final org.nd4j.shade.protobuf.Parser PARSER = new org.nd4j.shade.protobuf.AbstractParser() { public MemoryLogStep parsePartialFrom( org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return new MemoryLogStep(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.MemoryLogStep getDefaultInstanceForType() { return DEFAULT_INSTANCE; } }




© 2015 - 2024 Weber Informatics LLC | Privacy Policy