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// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: tensorflow/core/protobuf/named_tensor.proto

package org.tensorflow.framework;

/**
 * 
 * A pair of tensor name and tensor values.
 * 
* * Protobuf type {@code tensorflow.NamedTensorProto} */ public final class NamedTensorProto extends org.nd4j.shade.protobuf.GeneratedMessageV3 implements // @@protoc_insertion_point(message_implements:tensorflow.NamedTensorProto) NamedTensorProtoOrBuilder { private static final long serialVersionUID = 0L; // Use NamedTensorProto.newBuilder() to construct. private NamedTensorProto(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) { super(builder); } private NamedTensorProto() { name_ = ""; } @java.lang.Override public final org.nd4j.shade.protobuf.UnknownFieldSet getUnknownFields() { return this.unknownFields; } private NamedTensorProto( 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 10: { java.lang.String s = input.readStringRequireUtf8(); name_ = s; break; } case 18: { org.tensorflow.framework.TensorProto.Builder subBuilder = null; if (tensor_ != null) { subBuilder = tensor_.toBuilder(); } tensor_ = input.readMessage(org.tensorflow.framework.TensorProto.parser(), extensionRegistry); if (subBuilder != null) { subBuilder.mergeFrom(tensor_); tensor_ = 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.NamedTensorProtos.internal_static_tensorflow_NamedTensorProto_descriptor; } protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable() { return org.tensorflow.framework.NamedTensorProtos.internal_static_tensorflow_NamedTensorProto_fieldAccessorTable .ensureFieldAccessorsInitialized( org.tensorflow.framework.NamedTensorProto.class, org.tensorflow.framework.NamedTensorProto.Builder.class); } public static final int NAME_FIELD_NUMBER = 1; private volatile java.lang.Object name_; /** *
   * Name of the tensor.
   * 
* * string name = 1; */ public java.lang.String getName() { java.lang.Object ref = name_; 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(); name_ = s; return s; } } /** *
   * Name of the tensor.
   * 
* * string name = 1; */ public org.nd4j.shade.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof java.lang.String) { org.nd4j.shade.protobuf.ByteString b = org.nd4j.shade.protobuf.ByteString.copyFromUtf8( (java.lang.String) ref); name_ = b; return b; } else { return (org.nd4j.shade.protobuf.ByteString) ref; } } public static final int TENSOR_FIELD_NUMBER = 2; private org.tensorflow.framework.TensorProto tensor_; /** *
   * The client can populate a TensorProto using a tensorflow::Tensor`, or
   * directly using the protobuf field accessors.
   * The client specifies whether the returned tensor values should be
   * filled tensor fields (float_val, int_val, etc.) or encoded in a
   * compact form in tensor.tensor_content.
   * 
* * .tensorflow.TensorProto tensor = 2; */ public boolean hasTensor() { return tensor_ != null; } /** *
   * The client can populate a TensorProto using a tensorflow::Tensor`, or
   * directly using the protobuf field accessors.
   * The client specifies whether the returned tensor values should be
   * filled tensor fields (float_val, int_val, etc.) or encoded in a
   * compact form in tensor.tensor_content.
   * 
* * .tensorflow.TensorProto tensor = 2; */ public org.tensorflow.framework.TensorProto getTensor() { return tensor_ == null ? org.tensorflow.framework.TensorProto.getDefaultInstance() : tensor_; } /** *
   * The client can populate a TensorProto using a tensorflow::Tensor`, or
   * directly using the protobuf field accessors.
   * The client specifies whether the returned tensor values should be
   * filled tensor fields (float_val, int_val, etc.) or encoded in a
   * compact form in tensor.tensor_content.
   * 
* * .tensorflow.TensorProto tensor = 2; */ public org.tensorflow.framework.TensorProtoOrBuilder getTensorOrBuilder() { return getTensor(); } 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 (!getNameBytes().isEmpty()) { org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 1, name_); } if (tensor_ != null) { output.writeMessage(2, getTensor()); } unknownFields.writeTo(output); } public int getSerializedSize() { int size = memoizedSize; if (size != -1) return size; size = 0; if (!getNameBytes().isEmpty()) { size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(1, name_); } if (tensor_ != null) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeMessageSize(2, getTensor()); } 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.NamedTensorProto)) { return super.equals(obj); } org.tensorflow.framework.NamedTensorProto other = (org.tensorflow.framework.NamedTensorProto) obj; boolean result = true; result = result && getName() .equals(other.getName()); result = result && (hasTensor() == other.hasTensor()); if (hasTensor()) { result = result && getTensor() .equals(other.getTensor()); } 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) + NAME_FIELD_NUMBER; hash = (53 * hash) + getName().hashCode(); if (hasTensor()) { hash = (37 * hash) + TENSOR_FIELD_NUMBER; hash = (53 * hash) + getTensor().hashCode(); } hash = (29 * hash) + unknownFields.hashCode(); memoizedHashCode = hash; return hash; } public static org.tensorflow.framework.NamedTensorProto parseFrom( java.nio.ByteBuffer data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.framework.NamedTensorProto 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.NamedTensorProto parseFrom( org.nd4j.shade.protobuf.ByteString data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.framework.NamedTensorProto 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.NamedTensorProto parseFrom(byte[] data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.framework.NamedTensorProto 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.NamedTensorProto parseFrom(java.io.InputStream input) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input); } public static org.tensorflow.framework.NamedTensorProto 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.NamedTensorProto parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseDelimitedWithIOException(PARSER, input); } public static org.tensorflow.framework.NamedTensorProto 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.NamedTensorProto 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.NamedTensorProto 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.NamedTensorProto 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; } /** *
   * A pair of tensor name and tensor values.
   * 
* * Protobuf type {@code tensorflow.NamedTensorProto} */ public static final class Builder extends org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements // @@protoc_insertion_point(builder_implements:tensorflow.NamedTensorProto) org.tensorflow.framework.NamedTensorProtoOrBuilder { public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor() { return org.tensorflow.framework.NamedTensorProtos.internal_static_tensorflow_NamedTensorProto_descriptor; } protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable() { return org.tensorflow.framework.NamedTensorProtos.internal_static_tensorflow_NamedTensorProto_fieldAccessorTable .ensureFieldAccessorsInitialized( org.tensorflow.framework.NamedTensorProto.class, org.tensorflow.framework.NamedTensorProto.Builder.class); } // Construct using org.tensorflow.framework.NamedTensorProto.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(); name_ = ""; if (tensorBuilder_ == null) { tensor_ = null; } else { tensor_ = null; tensorBuilder_ = null; } return this; } public org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptorForType() { return org.tensorflow.framework.NamedTensorProtos.internal_static_tensorflow_NamedTensorProto_descriptor; } public org.tensorflow.framework.NamedTensorProto getDefaultInstanceForType() { return org.tensorflow.framework.NamedTensorProto.getDefaultInstance(); } public org.tensorflow.framework.NamedTensorProto build() { org.tensorflow.framework.NamedTensorProto result = buildPartial(); if (!result.isInitialized()) { throw newUninitializedMessageException(result); } return result; } public org.tensorflow.framework.NamedTensorProto buildPartial() { org.tensorflow.framework.NamedTensorProto result = new org.tensorflow.framework.NamedTensorProto(this); result.name_ = name_; if (tensorBuilder_ == null) { result.tensor_ = tensor_; } else { result.tensor_ = tensorBuilder_.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.NamedTensorProto) { return mergeFrom((org.tensorflow.framework.NamedTensorProto)other); } else { super.mergeFrom(other); return this; } } public Builder mergeFrom(org.tensorflow.framework.NamedTensorProto other) { if (other == org.tensorflow.framework.NamedTensorProto.getDefaultInstance()) return this; if (!other.getName().isEmpty()) { name_ = other.name_; onChanged(); } if (other.hasTensor()) { mergeTensor(other.getTensor()); } 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.NamedTensorProto parsedMessage = null; try { parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) { parsedMessage = (org.tensorflow.framework.NamedTensorProto) e.getUnfinishedMessage(); throw e.unwrapIOException(); } finally { if (parsedMessage != null) { mergeFrom(parsedMessage); } } return this; } private java.lang.Object name_ = ""; /** *
     * Name of the tensor.
     * 
* * string name = 1; */ public java.lang.String getName() { java.lang.Object ref = name_; if (!(ref instanceof java.lang.String)) { org.nd4j.shade.protobuf.ByteString bs = (org.nd4j.shade.protobuf.ByteString) ref; java.lang.String s = bs.toStringUtf8(); name_ = s; return s; } else { return (java.lang.String) ref; } } /** *
     * Name of the tensor.
     * 
* * string name = 1; */ public org.nd4j.shade.protobuf.ByteString getNameBytes() { java.lang.Object ref = name_; if (ref instanceof String) { org.nd4j.shade.protobuf.ByteString b = org.nd4j.shade.protobuf.ByteString.copyFromUtf8( (java.lang.String) ref); name_ = b; return b; } else { return (org.nd4j.shade.protobuf.ByteString) ref; } } /** *
     * Name of the tensor.
     * 
* * string name = 1; */ public Builder setName( java.lang.String value) { if (value == null) { throw new NullPointerException(); } name_ = value; onChanged(); return this; } /** *
     * Name of the tensor.
     * 
* * string name = 1; */ public Builder clearName() { name_ = getDefaultInstance().getName(); onChanged(); return this; } /** *
     * Name of the tensor.
     * 
* * string name = 1; */ public Builder setNameBytes( org.nd4j.shade.protobuf.ByteString value) { if (value == null) { throw new NullPointerException(); } checkByteStringIsUtf8(value); name_ = value; onChanged(); return this; } private org.tensorflow.framework.TensorProto tensor_ = null; private org.nd4j.shade.protobuf.SingleFieldBuilderV3< org.tensorflow.framework.TensorProto, org.tensorflow.framework.TensorProto.Builder, org.tensorflow.framework.TensorProtoOrBuilder> tensorBuilder_; /** *
     * The client can populate a TensorProto using a tensorflow::Tensor`, or
     * directly using the protobuf field accessors.
     * The client specifies whether the returned tensor values should be
     * filled tensor fields (float_val, int_val, etc.) or encoded in a
     * compact form in tensor.tensor_content.
     * 
* * .tensorflow.TensorProto tensor = 2; */ public boolean hasTensor() { return tensorBuilder_ != null || tensor_ != null; } /** *
     * The client can populate a TensorProto using a tensorflow::Tensor`, or
     * directly using the protobuf field accessors.
     * The client specifies whether the returned tensor values should be
     * filled tensor fields (float_val, int_val, etc.) or encoded in a
     * compact form in tensor.tensor_content.
     * 
* * .tensorflow.TensorProto tensor = 2; */ public org.tensorflow.framework.TensorProto getTensor() { if (tensorBuilder_ == null) { return tensor_ == null ? org.tensorflow.framework.TensorProto.getDefaultInstance() : tensor_; } else { return tensorBuilder_.getMessage(); } } /** *
     * The client can populate a TensorProto using a tensorflow::Tensor`, or
     * directly using the protobuf field accessors.
     * The client specifies whether the returned tensor values should be
     * filled tensor fields (float_val, int_val, etc.) or encoded in a
     * compact form in tensor.tensor_content.
     * 
* * .tensorflow.TensorProto tensor = 2; */ public Builder setTensor(org.tensorflow.framework.TensorProto value) { if (tensorBuilder_ == null) { if (value == null) { throw new NullPointerException(); } tensor_ = value; onChanged(); } else { tensorBuilder_.setMessage(value); } return this; } /** *
     * The client can populate a TensorProto using a tensorflow::Tensor`, or
     * directly using the protobuf field accessors.
     * The client specifies whether the returned tensor values should be
     * filled tensor fields (float_val, int_val, etc.) or encoded in a
     * compact form in tensor.tensor_content.
     * 
* * .tensorflow.TensorProto tensor = 2; */ public Builder setTensor( org.tensorflow.framework.TensorProto.Builder builderForValue) { if (tensorBuilder_ == null) { tensor_ = builderForValue.build(); onChanged(); } else { tensorBuilder_.setMessage(builderForValue.build()); } return this; } /** *
     * The client can populate a TensorProto using a tensorflow::Tensor`, or
     * directly using the protobuf field accessors.
     * The client specifies whether the returned tensor values should be
     * filled tensor fields (float_val, int_val, etc.) or encoded in a
     * compact form in tensor.tensor_content.
     * 
* * .tensorflow.TensorProto tensor = 2; */ public Builder mergeTensor(org.tensorflow.framework.TensorProto value) { if (tensorBuilder_ == null) { if (tensor_ != null) { tensor_ = org.tensorflow.framework.TensorProto.newBuilder(tensor_).mergeFrom(value).buildPartial(); } else { tensor_ = value; } onChanged(); } else { tensorBuilder_.mergeFrom(value); } return this; } /** *
     * The client can populate a TensorProto using a tensorflow::Tensor`, or
     * directly using the protobuf field accessors.
     * The client specifies whether the returned tensor values should be
     * filled tensor fields (float_val, int_val, etc.) or encoded in a
     * compact form in tensor.tensor_content.
     * 
* * .tensorflow.TensorProto tensor = 2; */ public Builder clearTensor() { if (tensorBuilder_ == null) { tensor_ = null; onChanged(); } else { tensor_ = null; tensorBuilder_ = null; } return this; } /** *
     * The client can populate a TensorProto using a tensorflow::Tensor`, or
     * directly using the protobuf field accessors.
     * The client specifies whether the returned tensor values should be
     * filled tensor fields (float_val, int_val, etc.) or encoded in a
     * compact form in tensor.tensor_content.
     * 
* * .tensorflow.TensorProto tensor = 2; */ public org.tensorflow.framework.TensorProto.Builder getTensorBuilder() { onChanged(); return getTensorFieldBuilder().getBuilder(); } /** *
     * The client can populate a TensorProto using a tensorflow::Tensor`, or
     * directly using the protobuf field accessors.
     * The client specifies whether the returned tensor values should be
     * filled tensor fields (float_val, int_val, etc.) or encoded in a
     * compact form in tensor.tensor_content.
     * 
* * .tensorflow.TensorProto tensor = 2; */ public org.tensorflow.framework.TensorProtoOrBuilder getTensorOrBuilder() { if (tensorBuilder_ != null) { return tensorBuilder_.getMessageOrBuilder(); } else { return tensor_ == null ? org.tensorflow.framework.TensorProto.getDefaultInstance() : tensor_; } } /** *
     * The client can populate a TensorProto using a tensorflow::Tensor`, or
     * directly using the protobuf field accessors.
     * The client specifies whether the returned tensor values should be
     * filled tensor fields (float_val, int_val, etc.) or encoded in a
     * compact form in tensor.tensor_content.
     * 
* * .tensorflow.TensorProto tensor = 2; */ private org.nd4j.shade.protobuf.SingleFieldBuilderV3< org.tensorflow.framework.TensorProto, org.tensorflow.framework.TensorProto.Builder, org.tensorflow.framework.TensorProtoOrBuilder> getTensorFieldBuilder() { if (tensorBuilder_ == null) { tensorBuilder_ = new org.nd4j.shade.protobuf.SingleFieldBuilderV3< org.tensorflow.framework.TensorProto, org.tensorflow.framework.TensorProto.Builder, org.tensorflow.framework.TensorProtoOrBuilder>( getTensor(), getParentForChildren(), isClean()); tensor_ = null; } return tensorBuilder_; } 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.NamedTensorProto) } // @@protoc_insertion_point(class_scope:tensorflow.NamedTensorProto) private static final org.tensorflow.framework.NamedTensorProto DEFAULT_INSTANCE; static { DEFAULT_INSTANCE = new org.tensorflow.framework.NamedTensorProto(); } public static org.tensorflow.framework.NamedTensorProto getDefaultInstance() { return DEFAULT_INSTANCE; } private static final org.nd4j.shade.protobuf.Parser PARSER = new org.nd4j.shade.protobuf.AbstractParser() { public NamedTensorProto parsePartialFrom( org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return new NamedTensorProto(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.NamedTensorProto getDefaultInstanceForType() { return DEFAULT_INSTANCE; } }




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