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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/framework/attr_value.proto
package org.tensorflow.framework;
/**
*
* Protocol buffer representing the value for an attr used to configure an Op.
* Comment indicates the corresponding attr type. Only the field matching the
* attr type may be filled.
*
*
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*/
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org.nd4j.shade.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.AttrValue)
AttrValueOrBuilder {
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// Use AttrValue.newBuilder() to construct.
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/**
*
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// @@protoc_insertion_point(message_implements:tensorflow.AttrValue.ListValue)
ListValueOrBuilder {
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i_.addLong(value);
onChanged();
return this;
}
/**
*
* "list(int)"
*
*
* repeated int64 i = 3 [packed = true];
* @param values The i to add.
* @return This builder for chaining.
*/
public Builder addAllI(
java.lang.Iterable values) {
ensureIIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, i_);
onChanged();
return this;
}
/**
*
*
* repeated float f = 4 [packed = true];
* @return A list containing the f.
*/
public java.util.List
getFList() {
return ((bitField0_ & 0x00000004) != 0) ?
java.util.Collections.unmodifiableList(f_) : f_;
}
/**
*
* "list(float)"
*
*
* repeated float f = 4 [packed = true];
* @return The count of f.
*/
public int getFCount() {
return f_.size();
}
/**
*
* "list(float)"
*
*
* repeated float f = 4 [packed = true];
* @param index The index of the element to return.
* @return The f at the given index.
*/
public float getF(int index) {
return f_.getFloat(index);
}
/**
*
* "list(float)"
*
*
* repeated float f = 4 [packed = true];
* @param index The index to set the value at.
* @param value The f to set.
* @return This builder for chaining.
*/
public Builder setF(
int index, float value) {
ensureFIsMutable();
f_.setFloat(index, value);
onChanged();
return this;
}
/**
*
* "list(float)"
*
*
* repeated float f = 4 [packed = true];
* @param value The f to add.
* @return This builder for chaining.
*/
public Builder addF(float value) {
ensureFIsMutable();
f_.addFloat(value);
onChanged();
return this;
}
/**
*
* "list(float)"
*
*
* repeated float f = 4 [packed = true];
* @param values The f to add.
* @return This builder for chaining.
*/
public Builder addAllF(
java.lang.Iterable values) {
ensureFIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, f_);
onChanged();
return this;
}
/**
*
*
* repeated bool b = 5 [packed = true];
* @return A list containing the b.
*/
public java.util.List
getBList() {
return ((bitField0_ & 0x00000008) != 0) ?
java.util.Collections.unmodifiableList(b_) : b_;
}
/**
*
* "list(bool)"
*
*
* repeated bool b = 5 [packed = true];
* @return The count of b.
*/
public int getBCount() {
return b_.size();
}
/**
*
* "list(bool)"
*
*
* repeated bool b = 5 [packed = true];
* @param index The index of the element to return.
* @return The b at the given index.
*/
public boolean getB(int index) {
return b_.getBoolean(index);
}
/**
*
* "list(bool)"
*
*
* repeated bool b = 5 [packed = true];
* @param index The index to set the value at.
* @param value The b to set.
* @return This builder for chaining.
*/
public Builder setB(
int index, boolean value) {
ensureBIsMutable();
b_.setBoolean(index, value);
onChanged();
return this;
}
/**
*
* "list(bool)"
*
*
* repeated bool b = 5 [packed = true];
* @param value The b to add.
* @return This builder for chaining.
*/
public Builder addB(boolean value) {
ensureBIsMutable();
b_.addBoolean(value);
onChanged();
return this;
}
/**
*
* "list(bool)"
*
*
* repeated bool b = 5 [packed = true];
* @param values The b to add.
* @return This builder for chaining.
*/
public Builder addAllB(
java.lang.Iterable values) {
ensureBIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, b_);
onChanged();
return this;
}
/**
*
* "list(bool)"
*
*
* repeated bool b = 5 [packed = true];
* @return This builder for chaining.
*/
public Builder clearB() {
b_ = emptyBooleanList();
bitField0_ = (bitField0_ & ~0x00000008);
onChanged();
return this;
}
private java.util.List type_ =
java.util.Collections.emptyList();
private void ensureTypeIsMutable() {
if (!((bitField0_ & 0x00000010) != 0)) {
type_ = new java.util.ArrayList(type_);
bitField0_ |= 0x00000010;
}
}
/**
*
* "list(type)"
*
*
* repeated .tensorflow.DataType type = 6 [packed = true];
* @return A list containing the type.
*/
public java.util.List getTypeList() {
return new org.nd4j.shade.protobuf.Internal.ListAdapter<
java.lang.Integer, org.tensorflow.framework.DataType>(type_, type_converter_);
}
/**
*
* "list(type)"
*
*
* repeated .tensorflow.DataType type = 6 [packed = true];
* @return The count of type.
*/
public int getTypeCount() {
return type_.size();
}
/**
*
* "list(type)"
*
*
* repeated .tensorflow.DataType type = 6 [packed = true];
* @param index The index of the element to return.
* @return The type at the given index.
*/
public org.tensorflow.framework.DataType getType(int index) {
return type_converter_.convert(type_.get(index));
}
/**
*
* "list(type)"
*
*
* repeated .tensorflow.DataType type = 6 [packed = true];
* @param index The index to set the value at.
* @param value The type to set.
* @return This builder for chaining.
*/
public Builder setType(
int index, org.tensorflow.framework.DataType value) {
if (value == null) {
throw new NullPointerException();
}
ensureTypeIsMutable();
type_.set(index, value.getNumber());
onChanged();
return this;
}
/**
*
* "list(type)"
*
*
* repeated .tensorflow.DataType type = 6 [packed = true];
* @param value The type to add.
* @return This builder for chaining.
*/
public Builder addType(org.tensorflow.framework.DataType value) {
if (value == null) {
throw new NullPointerException();
}
ensureTypeIsMutable();
type_.add(value.getNumber());
onChanged();
return this;
}
/**
*
* "list(type)"
*
*
* repeated .tensorflow.DataType type = 6 [packed = true];
* @param values The type to add.
* @return This builder for chaining.
*/
public Builder addAllType(
java.lang.Iterable values) {
ensureTypeIsMutable();
for (org.tensorflow.framework.DataType value : values) {
type_.add(value.getNumber());
}
onChanged();
return this;
}
/**
*
* "list(type)"
*
*
* repeated .tensorflow.DataType type = 6 [packed = true];
* @return This builder for chaining.
*/
public Builder clearType() {
type_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000010);
onChanged();
return this;
}
/**
*
* "list(type)"
*
*
* repeated .tensorflow.DataType type = 6 [packed = true];
* @return A list containing the enum numeric values on the wire for type.
*/
public java.util.List
getTypeValueList() {
return java.util.Collections.unmodifiableList(type_);
}
/**
*
* "list(type)"
*
*
* repeated .tensorflow.DataType type = 6 [packed = true];
* @param index The index of the value to return.
* @return The enum numeric value on the wire of type at the given index.
*/
public int getTypeValue(int index) {
return type_.get(index);
}
/**
*
* "list(type)"
*
*
* repeated .tensorflow.DataType type = 6 [packed = true];
* @param index The index of the value to return.
* @return The enum numeric value on the wire of type at the given index.
* @return This builder for chaining.
*/
public Builder setTypeValue(
int index, int value) {
ensureTypeIsMutable();
type_.set(index, value);
onChanged();
return this;
}
/**
*
* "list(type)"
*
*
* repeated .tensorflow.DataType type = 6 [packed = true];
* @param value The enum numeric value on the wire for type to add.
* @return This builder for chaining.
*/
public Builder addTypeValue(int value) {
ensureTypeIsMutable();
type_.add(value);
onChanged();
return this;
}
/**
*
* "list(type)"
*
*
* repeated .tensorflow.DataType type = 6 [packed = true];
* @param values The enum numeric values on the wire for type to add.
* @return This builder for chaining.
*/
public Builder addAllTypeValue(
java.lang.Iterable values) {
ensureTypeIsMutable();
for (int value : values) {
type_.add(value);
}
onChanged();
return this;
}
private java.util.List shape_ =
java.util.Collections.emptyList();
private void ensureShapeIsMutable() {
if (!((bitField0_ & 0x00000020) != 0)) {
shape_ = new java.util.ArrayList(shape_);
bitField0_ |= 0x00000020;
}
}
private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.TensorShapeProto, org.tensorflow.framework.TensorShapeProto.Builder, org.tensorflow.framework.TensorShapeProtoOrBuilder> shapeBuilder_;
/**
*
*
* repeated .tensorflow.NameAttrList func = 9;
*/
public java.util.List
getFuncBuilderList() {
return getFuncFieldBuilder().getBuilderList();
}
private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.NameAttrList, org.tensorflow.framework.NameAttrList.Builder, org.tensorflow.framework.NameAttrListOrBuilder>
getFuncFieldBuilder() {
if (funcBuilder_ == null) {
funcBuilder_ = new org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.NameAttrList, org.tensorflow.framework.NameAttrList.Builder, org.tensorflow.framework.NameAttrListOrBuilder>(
func_,
((bitField0_ & 0x00000080) != 0),
getParentForChildren(),
isClean());
func_ = null;
}
return funcBuilder_;
}
@java.lang.Override
public final Builder setUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.AttrValue.ListValue)
}
// @@protoc_insertion_point(class_scope:tensorflow.AttrValue.ListValue)
private static final org.tensorflow.framework.AttrValue.ListValue DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.framework.AttrValue.ListValue();
}
public static org.tensorflow.framework.AttrValue.ListValue getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final org.nd4j.shade.protobuf.Parser
PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
@java.lang.Override
public ListValue parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new ListValue(input, extensionRegistry);
}
};
public static org.nd4j.shade.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public org.tensorflow.framework.AttrValue.ListValue getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
private int valueCase_ = 0;
private java.lang.Object value_;
public enum ValueCase
implements org.nd4j.shade.protobuf.Internal.EnumLite,
org.nd4j.shade.protobuf.AbstractMessage.InternalOneOfEnum {
S(2),
I(3),
F(4),
B(5),
TYPE(6),
SHAPE(7),
TENSOR(8),
LIST(1),
FUNC(10),
PLACEHOLDER(9),
VALUE_NOT_SET(0);
private final int value;
private ValueCase(int value) {
this.value = value;
}
/**
* @param value The number of the enum to look for.
* @return The enum associated with the given number.
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static ValueCase valueOf(int value) {
return forNumber(value);
}
public static ValueCase forNumber(int value) {
switch (value) {
case 2: return S;
case 3: return I;
case 4: return F;
case 5: return B;
case 6: return TYPE;
case 7: return SHAPE;
case 8: return TENSOR;
case 1: return LIST;
case 10: return FUNC;
case 9: return PLACEHOLDER;
case 0: return VALUE_NOT_SET;
default: return null;
}
}
public int getNumber() {
return this.value;
}
};
public ValueCase
getValueCase() {
return ValueCase.forNumber(
valueCase_);
}
public static final int S_FIELD_NUMBER = 2;
/**
*
* "string"
*
*
* bytes s = 2;
* @return The s.
*/
@java.lang.Override
public org.nd4j.shade.protobuf.ByteString getS() {
if (valueCase_ == 2) {
return (org.nd4j.shade.protobuf.ByteString) value_;
}
return org.nd4j.shade.protobuf.ByteString.EMPTY;
}
public static final int I_FIELD_NUMBER = 3;
/**
*
* "int"
*
*
* int64 i = 3;
* @return The i.
*/
@java.lang.Override
public long getI() {
if (valueCase_ == 3) {
return (java.lang.Long) value_;
}
return 0L;
}
public static final int F_FIELD_NUMBER = 4;
/**
*
* "float"
*
*
* float f = 4;
* @return The f.
*/
@java.lang.Override
public float getF() {
if (valueCase_ == 4) {
return (java.lang.Float) value_;
}
return 0F;
}
public static final int B_FIELD_NUMBER = 5;
/**
*
* "bool"
*
*
* bool b = 5;
* @return The b.
*/
@java.lang.Override
public boolean getB() {
if (valueCase_ == 5) {
return (java.lang.Boolean) value_;
}
return false;
}
public static final int TYPE_FIELD_NUMBER = 6;
/**
*
* "type"
*
*
* .tensorflow.DataType type = 6;
* @return The enum numeric value on the wire for type.
*/
public int getTypeValue() {
if (valueCase_ == 6) {
return (java.lang.Integer) value_;
}
return 0;
}
/**
*
* "type"
*
*
* .tensorflow.DataType type = 6;
* @return The type.
*/
public org.tensorflow.framework.DataType getType() {
if (valueCase_ == 6) {
@SuppressWarnings("deprecation")
org.tensorflow.framework.DataType result = org.tensorflow.framework.DataType.valueOf(
(java.lang.Integer) value_);
return result == null ? org.tensorflow.framework.DataType.UNRECOGNIZED : result;
}
return org.tensorflow.framework.DataType.DT_INVALID;
}
public static final int SHAPE_FIELD_NUMBER = 7;
/**
*
* "shape"
*
*
* .tensorflow.TensorShapeProto shape = 7;
* @return Whether the shape field is set.
*/
@java.lang.Override
public boolean hasShape() {
return valueCase_ == 7;
}
/**
*
* "shape"
*
*
* .tensorflow.TensorShapeProto shape = 7;
* @return The shape.
*/
@java.lang.Override
public org.tensorflow.framework.TensorShapeProto getShape() {
if (valueCase_ == 7) {
return (org.tensorflow.framework.TensorShapeProto) value_;
}
return org.tensorflow.framework.TensorShapeProto.getDefaultInstance();
}
/**
*
* "shape"
*
*
* .tensorflow.TensorShapeProto shape = 7;
*/
@java.lang.Override
public org.tensorflow.framework.TensorShapeProtoOrBuilder getShapeOrBuilder() {
if (valueCase_ == 7) {
return (org.tensorflow.framework.TensorShapeProto) value_;
}
return org.tensorflow.framework.TensorShapeProto.getDefaultInstance();
}
public static final int TENSOR_FIELD_NUMBER = 8;
/**
*
* "tensor"
*
*
* .tensorflow.TensorProto tensor = 8;
* @return Whether the tensor field is set.
*/
@java.lang.Override
public boolean hasTensor() {
return valueCase_ == 8;
}
/**
*
* "tensor"
*
*
* .tensorflow.TensorProto tensor = 8;
* @return The tensor.
*/
@java.lang.Override
public org.tensorflow.framework.TensorProto getTensor() {
if (valueCase_ == 8) {
return (org.tensorflow.framework.TensorProto) value_;
}
return org.tensorflow.framework.TensorProto.getDefaultInstance();
}
/**
*
* "tensor"
*
*
* .tensorflow.TensorProto tensor = 8;
*/
@java.lang.Override
public org.tensorflow.framework.TensorProtoOrBuilder getTensorOrBuilder() {
if (valueCase_ == 8) {
return (org.tensorflow.framework.TensorProto) value_;
}
return org.tensorflow.framework.TensorProto.getDefaultInstance();
}
public static final int LIST_FIELD_NUMBER = 1;
/**
*
* any "list(...)"
*
*
* .tensorflow.AttrValue.ListValue list = 1;
* @return Whether the list field is set.
*/
@java.lang.Override
public boolean hasList() {
return valueCase_ == 1;
}
/**
*
* any "list(...)"
*
*
* .tensorflow.AttrValue.ListValue list = 1;
* @return The list.
*/
@java.lang.Override
public org.tensorflow.framework.AttrValue.ListValue getList() {
if (valueCase_ == 1) {
return (org.tensorflow.framework.AttrValue.ListValue) value_;
}
return org.tensorflow.framework.AttrValue.ListValue.getDefaultInstance();
}
/**
*
* any "list(...)"
*
*
* .tensorflow.AttrValue.ListValue list = 1;
*/
@java.lang.Override
public org.tensorflow.framework.AttrValue.ListValueOrBuilder getListOrBuilder() {
if (valueCase_ == 1) {
return (org.tensorflow.framework.AttrValue.ListValue) value_;
}
return org.tensorflow.framework.AttrValue.ListValue.getDefaultInstance();
}
public static final int FUNC_FIELD_NUMBER = 10;
/**
*
* "func" represents a function. func.name is a function's name or
* a primitive op's name. func.attr.first is the name of an attr
* defined for that function. func.attr.second is the value for
* that attr in the instantiation.
*
*
* .tensorflow.NameAttrList func = 10;
* @return Whether the func field is set.
*/
@java.lang.Override
public boolean hasFunc() {
return valueCase_ == 10;
}
/**
*
* "func" represents a function. func.name is a function's name or
* a primitive op's name. func.attr.first is the name of an attr
* defined for that function. func.attr.second is the value for
* that attr in the instantiation.
*
*
* .tensorflow.NameAttrList func = 10;
* @return The func.
*/
@java.lang.Override
public org.tensorflow.framework.NameAttrList getFunc() {
if (valueCase_ == 10) {
return (org.tensorflow.framework.NameAttrList) value_;
}
return org.tensorflow.framework.NameAttrList.getDefaultInstance();
}
/**
*
* "func" represents a function. func.name is a function's name or
* a primitive op's name. func.attr.first is the name of an attr
* defined for that function. func.attr.second is the value for
* that attr in the instantiation.
*
*
* .tensorflow.NameAttrList func = 10;
*/
@java.lang.Override
public org.tensorflow.framework.NameAttrListOrBuilder getFuncOrBuilder() {
if (valueCase_ == 10) {
return (org.tensorflow.framework.NameAttrList) value_;
}
return org.tensorflow.framework.NameAttrList.getDefaultInstance();
}
public static final int PLACEHOLDER_FIELD_NUMBER = 9;
/**
*
* This is a placeholder only used in nodes defined inside a
* function. It indicates the attr value will be supplied when
* the function is instantiated. For example, let us suppose a
* node "N" in function "FN". "N" has an attr "A" with value
* placeholder = "foo". When FN is instantiated with attr "foo"
* set to "bar", the instantiated node N's attr A will have been
* given the value "bar".
*
* This is a placeholder only used in nodes defined inside a
* function. It indicates the attr value will be supplied when
* the function is instantiated. For example, let us suppose a
* node "N" in function "FN". "N" has an attr "A" with value
* placeholder = "foo". When FN is instantiated with attr "foo"
* set to "bar", the instantiated node N's attr A will have been
* given the value "bar".
*
*
* string placeholder = 9;
* @return The bytes for placeholder.
*/
public org.nd4j.shade.protobuf.ByteString
getPlaceholderBytes() {
java.lang.Object ref = "";
if (valueCase_ == 9) {
ref = value_;
}
if (ref instanceof java.lang.String) {
org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
if (valueCase_ == 9) {
value_ = b;
}
return b;
} else {
return (org.nd4j.shade.protobuf.ByteString) ref;
}
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
throws java.io.IOException {
if (valueCase_ == 1) {
output.writeMessage(1, (org.tensorflow.framework.AttrValue.ListValue) value_);
}
if (valueCase_ == 2) {
output.writeBytes(
2, (org.nd4j.shade.protobuf.ByteString) value_);
}
if (valueCase_ == 3) {
output.writeInt64(
3, (long)((java.lang.Long) value_));
}
if (valueCase_ == 4) {
output.writeFloat(
4, (float)((java.lang.Float) value_));
}
if (valueCase_ == 5) {
output.writeBool(
5, (boolean)((java.lang.Boolean) value_));
}
if (valueCase_ == 6) {
output.writeEnum(6, ((java.lang.Integer) value_));
}
if (valueCase_ == 7) {
output.writeMessage(7, (org.tensorflow.framework.TensorShapeProto) value_);
}
if (valueCase_ == 8) {
output.writeMessage(8, (org.tensorflow.framework.TensorProto) value_);
}
if (valueCase_ == 9) {
org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 9, value_);
}
if (valueCase_ == 10) {
output.writeMessage(10, (org.tensorflow.framework.NameAttrList) value_);
}
unknownFields.writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (valueCase_ == 1) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeMessageSize(1, (org.tensorflow.framework.AttrValue.ListValue) value_);
}
if (valueCase_ == 2) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeBytesSize(
2, (org.nd4j.shade.protobuf.ByteString) value_);
}
if (valueCase_ == 3) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeInt64Size(
3, (long)((java.lang.Long) value_));
}
if (valueCase_ == 4) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeFloatSize(
4, (float)((java.lang.Float) value_));
}
if (valueCase_ == 5) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeBoolSize(
5, (boolean)((java.lang.Boolean) value_));
}
if (valueCase_ == 6) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeEnumSize(6, ((java.lang.Integer) value_));
}
if (valueCase_ == 7) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeMessageSize(7, (org.tensorflow.framework.TensorShapeProto) value_);
}
if (valueCase_ == 8) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeMessageSize(8, (org.tensorflow.framework.TensorProto) value_);
}
if (valueCase_ == 9) {
size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(9, value_);
}
if (valueCase_ == 10) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeMessageSize(10, (org.tensorflow.framework.NameAttrList) value_);
}
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.AttrValue)) {
return super.equals(obj);
}
org.tensorflow.framework.AttrValue other = (org.tensorflow.framework.AttrValue) obj;
if (!getValueCase().equals(other.getValueCase())) return false;
switch (valueCase_) {
case 2:
if (!getS()
.equals(other.getS())) return false;
break;
case 3:
if (getI()
!= other.getI()) return false;
break;
case 4:
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return PARSER.parseFrom(data);
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public static org.tensorflow.framework.AttrValue parseFrom(
org.nd4j.shade.protobuf.ByteString data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
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public static org.tensorflow.framework.AttrValue parseFrom(byte[] data)
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public static org.tensorflow.framework.AttrValue parseFrom(
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public static org.tensorflow.framework.AttrValue parseDelimitedFrom(java.io.InputStream input)
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public static org.tensorflow.framework.AttrValue parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input)
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return org.nd4j.shade.protobuf.GeneratedMessageV3
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public static org.tensorflow.framework.AttrValue parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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return org.nd4j.shade.protobuf.GeneratedMessageV3
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@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
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public static Builder newBuilder(org.tensorflow.framework.AttrValue prototype) {
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@java.lang.Override
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@java.lang.Override
protected Builder newBuilderForType(
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/**
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public static final class Builder extends
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// @@protoc_insertion_point(builder_implements:tensorflow.AttrValue)
org.tensorflow.framework.AttrValueOrBuilder {
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@java.lang.Override
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@java.lang.Override
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@java.lang.Override
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case I: {
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case B: {
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this.mergeUnknownFields(other.unknownFields);
onChanged();
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@java.lang.Override
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@java.lang.Override
public Builder mergeFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
org.tensorflow.framework.AttrValue parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
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throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
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}
return this;
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private int valueCase_ = 0;
private java.lang.Object value_;
public ValueCase
getValueCase() {
return ValueCase.forNumber(
valueCase_);
}
public Builder clearValue() {
valueCase_ = 0;
value_ = null;
onChanged();
return this;
}
/**
*
* "string"
*
*
* bytes s = 2;
* @return The s.
*/
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/**
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*/
public Builder setS(org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
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valueCase_ = 2;
value_ = value;
onChanged();
return this;
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/**
*
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* bytes s = 2;
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valueCase_ = 0;
value_ = null;
onChanged();
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/**
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* @return This builder for chaining.
*/
public Builder setI(long value) {
valueCase_ = 3;
value_ = value;
onChanged();
return this;
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/**
*
* "int"
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* int64 i = 3;
* @return This builder for chaining.
*/
public Builder clearI() {
if (valueCase_ == 3) {
valueCase_ = 0;
value_ = null;
onChanged();
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return this;
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/**
*
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* @param value The f to set.
* @return This builder for chaining.
*/
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valueCase_ = 4;
value_ = value;
onChanged();
return this;
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/**
*
* "float"
*
*
* float f = 4;
* @return This builder for chaining.
*/
public Builder clearF() {
if (valueCase_ == 4) {
valueCase_ = 0;
value_ = null;
onChanged();
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return this;
}
/**
*
* "bool"
*
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*/
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if (valueCase_ == 5) {
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return false;
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/**
*
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*
*
* bool b = 5;
* @param value The b to set.
* @return This builder for chaining.
*/
public Builder setB(boolean value) {
valueCase_ = 5;
value_ = value;
onChanged();
return this;
}
/**
*
* "bool"
*
*
* bool b = 5;
* @return This builder for chaining.
*/
public Builder clearB() {
if (valueCase_ == 5) {
valueCase_ = 0;
value_ = null;
onChanged();
}
return this;
}
/**
*
* "type"
*
*
* .tensorflow.DataType type = 6;
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*/
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if (valueCase_ == 6) {
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return 0;
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/**
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*
*
* .tensorflow.DataType type = 6;
* @param value The enum numeric value on the wire for type to set.
* @return This builder for chaining.
*/
public Builder setTypeValue(int value) {
valueCase_ = 6;
value_ = value;
onChanged();
return this;
}
/**
*
* "type"
*
*
* .tensorflow.DataType type = 6;
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*/
@java.lang.Override
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if (valueCase_ == 6) {
@SuppressWarnings("deprecation")
org.tensorflow.framework.DataType result = org.tensorflow.framework.DataType.valueOf(
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return org.tensorflow.framework.DataType.DT_INVALID;
}
/**
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*
*
* .tensorflow.DataType type = 6;
* @param value The type to set.
* @return This builder for chaining.
*/
public Builder setType(org.tensorflow.framework.DataType value) {
if (value == null) {
throw new NullPointerException();
}
valueCase_ = 6;
value_ = value.getNumber();
onChanged();
return this;
}
/**
*
* "type"
*
*
* .tensorflow.DataType type = 6;
* @return This builder for chaining.
*/
public Builder clearType() {
if (valueCase_ == 6) {
valueCase_ = 0;
value_ = null;
onChanged();
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return this;
}
private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
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*/
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/**
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if (valueCase_ == 7) {
return (org.tensorflow.framework.TensorShapeProto) value_;
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return org.tensorflow.framework.TensorShapeProto.getDefaultInstance();
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if (valueCase_ == 7) {
return shapeBuilder_.getMessage();
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return org.tensorflow.framework.TensorShapeProto.getDefaultInstance();
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/**
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* @return Whether the list field is set.
*/
@java.lang.Override
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}
/**
*
* any "list(...)"
*
*
* .tensorflow.AttrValue.ListValue list = 1;
* @return The list.
*/
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if (listBuilder_ == null) {
if (valueCase_ == 1) {
return (org.tensorflow.framework.AttrValue.ListValue) value_;
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return org.tensorflow.framework.AttrValue.ListValue.getDefaultInstance();
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return listBuilder_.getMessage();
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return org.tensorflow.framework.AttrValue.ListValue.getDefaultInstance();
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}
/**
*
* any "list(...)"
*
*
* .tensorflow.AttrValue.ListValue list = 1;
*/
public Builder setList(org.tensorflow.framework.AttrValue.ListValue value) {
if (listBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
value_ = value;
onChanged();
} else {
listBuilder_.setMessage(value);
}
valueCase_ = 1;
return this;
}
/**
*
* "func" represents a function. func.name is a function's name or
* a primitive op's name. func.attr.first is the name of an attr
* defined for that function. func.attr.second is the value for
* that attr in the instantiation.
*
*
* .tensorflow.NameAttrList func = 10;
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*/
@java.lang.Override
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return valueCase_ == 10;
}
/**
*
* "func" represents a function. func.name is a function's name or
* a primitive op's name. func.attr.first is the name of an attr
* defined for that function. func.attr.second is the value for
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*
*
* .tensorflow.NameAttrList func = 10;
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if (funcBuilder_ == null) {
if (valueCase_ == 10) {
return (org.tensorflow.framework.NameAttrList) value_;
}
return org.tensorflow.framework.NameAttrList.getDefaultInstance();
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if (valueCase_ == 10) {
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return org.tensorflow.framework.NameAttrList.getDefaultInstance();
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/**
*
* "func" represents a function. func.name is a function's name or
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* that attr in the instantiation.
*
* "func" represents a function. func.name is a function's name or
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*
* "func" represents a function. func.name is a function's name or
* a primitive op's name. func.attr.first is the name of an attr
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*
* "func" represents a function. func.name is a function's name or
* a primitive op's name. func.attr.first is the name of an attr
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*
* "func" represents a function. func.name is a function's name or
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*
* "func" represents a function. func.name is a function's name or
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* the function is instantiated. For example, let us suppose a
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java.lang.Object ref = "";
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ref = value_;
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org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
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if (valueCase_ == 9) {
value_ = b;
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/**
*
* This is a placeholder only used in nodes defined inside a
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* the function is instantiated. For example, let us suppose a
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*
*
* string placeholder = 9;
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* @return This builder for chaining.
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public Builder setPlaceholder(
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if (value == null) {
throw new NullPointerException();
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valueCase_ = 9;
value_ = value;
onChanged();
return this;
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/**
*
* This is a placeholder only used in nodes defined inside a
* function. It indicates the attr value will be supplied when
* the function is instantiated. For example, let us suppose a
* node "N" in function "FN". "N" has an attr "A" with value
* placeholder = "foo". When FN is instantiated with attr "foo"
* set to "bar", the instantiated node N's attr A will have been
* given the value "bar".
*
*
* string placeholder = 9;
* @return This builder for chaining.
*/
public Builder clearPlaceholder() {
if (valueCase_ == 9) {
valueCase_ = 0;
value_ = null;
onChanged();
}
return this;
}
/**
*
* This is a placeholder only used in nodes defined inside a
* function. It indicates the attr value will be supplied when
* the function is instantiated. For example, let us suppose a
* node "N" in function "FN". "N" has an attr "A" with value
* placeholder = "foo". When FN is instantiated with attr "foo"
* set to "bar", the instantiated node N's attr A will have been
* given the value "bar".
*
*
* string placeholder = 9;
* @param value The bytes for placeholder to set.
* @return This builder for chaining.
*/
public Builder setPlaceholderBytes(
org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
valueCase_ = 9;
value_ = value;
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.AttrValue)
}
// @@protoc_insertion_point(class_scope:tensorflow.AttrValue)
private static final org.tensorflow.framework.AttrValue DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.framework.AttrValue();
}
public static org.tensorflow.framework.AttrValue getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final org.nd4j.shade.protobuf.Parser
PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
@java.lang.Override
public AttrValue parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new AttrValue(input, extensionRegistry);
}
};
public static org.nd4j.shade.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public org.tensorflow.framework.AttrValue getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}