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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow_metadata/proto/v0/schema.proto
// Protobuf Java Version: 3.25.4
package org.tensorflow.metadata.v0;
/**
*
* Specifies a fixed shape for the feature's values. The immediate implication
* is that each feature has a fixed number of values. Moreover, these values
* can be parsed in a multi-dimensional tensor using the specified axis sizes.
* The FixedShape defines a lexicographical ordering of the data. For instance,
* if there is a FixedShape {
* dim {size:3} dim {size:2}
* }
* then tensor[0][0]=field[0]
* then tensor[0][1]=field[1]
* then tensor[1][0]=field[2]
* then tensor[1][1]=field[3]
* then tensor[2][0]=field[4]
* then tensor[2][1]=field[5]
*
* The FixedShape message is identical with the TensorFlow TensorShape proto
* message.
*
*
* Protobuf type {@code tensorflow.metadata.v0.FixedShape}
*/
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org.tensorflow.metadata.v0.FixedShape other = (org.tensorflow.metadata.v0.FixedShape) obj;
if (!getDimList()
.equals(other.getDimList())) return false;
if (!getUnknownFields().equals(other.getUnknownFields())) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
if (getDimCount() > 0) {
hash = (37 * hash) + DIM_FIELD_NUMBER;
hash = (53 * hash) + getDimList().hashCode();
}
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.tensorflow.metadata.v0.FixedShape parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.FixedShape parseFrom(
java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.metadata.v0.FixedShape parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.FixedShape parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.metadata.v0.FixedShape parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.FixedShape parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.metadata.v0.FixedShape parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.FixedShape parseFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public static org.tensorflow.metadata.v0.FixedShape parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.FixedShape parseDelimitedFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input, extensionRegistry);
}
public static org.tensorflow.metadata.v0.FixedShape parseFrom(
com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.FixedShape parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(org.tensorflow.metadata.v0.FixedShape prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE
? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
* Specifies a fixed shape for the feature's values. The immediate implication
* is that each feature has a fixed number of values. Moreover, these values
* can be parsed in a multi-dimensional tensor using the specified axis sizes.
* The FixedShape defines a lexicographical ordering of the data. For instance,
* if there is a FixedShape {
* dim {size:3} dim {size:2}
* }
* then tensor[0][0]=field[0]
* then tensor[0][1]=field[1]
* then tensor[1][0]=field[2]
* then tensor[1][1]=field[3]
* then tensor[2][0]=field[4]
* then tensor[2][1]=field[5]
*
* The FixedShape message is identical with the TensorFlow TensorShape proto
* message.
*
*
* Protobuf type {@code tensorflow.metadata.v0.FixedShape}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.metadata.v0.FixedShape)
org.tensorflow.metadata.v0.FixedShapeOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_FixedShape_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_FixedShape_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.tensorflow.metadata.v0.FixedShape.class, org.tensorflow.metadata.v0.FixedShape.Builder.class);
}
// Construct using org.tensorflow.metadata.v0.FixedShape.newBuilder()
private Builder() {
}
private Builder(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
if (dimBuilder_ == null) {
dim_ = java.util.Collections.emptyList();
} else {
dim_ = null;
dimBuilder_.clear();
}
bitField0_ = (bitField0_ & ~0x00000001);
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_FixedShape_descriptor;
}
@java.lang.Override
public org.tensorflow.metadata.v0.FixedShape getDefaultInstanceForType() {
return org.tensorflow.metadata.v0.FixedShape.getDefaultInstance();
}
@java.lang.Override
public org.tensorflow.metadata.v0.FixedShape build() {
org.tensorflow.metadata.v0.FixedShape result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public org.tensorflow.metadata.v0.FixedShape buildPartial() {
org.tensorflow.metadata.v0.FixedShape result = new org.tensorflow.metadata.v0.FixedShape(this);
buildPartialRepeatedFields(result);
if (bitField0_ != 0) { buildPartial0(result); }
onBuilt();
return result;
}
private void buildPartialRepeatedFields(org.tensorflow.metadata.v0.FixedShape result) {
if (dimBuilder_ == null) {
if (((bitField0_ & 0x00000001) != 0)) {
dim_ = java.util.Collections.unmodifiableList(dim_);
bitField0_ = (bitField0_ & ~0x00000001);
}
result.dim_ = dim_;
} else {
result.dim_ = dimBuilder_.build();
}
}
private void buildPartial0(org.tensorflow.metadata.v0.FixedShape result) {
int from_bitField0_ = bitField0_;
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
com.google.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(
com.google.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(
com.google.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field,
int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof org.tensorflow.metadata.v0.FixedShape) {
return mergeFrom((org.tensorflow.metadata.v0.FixedShape)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.tensorflow.metadata.v0.FixedShape other) {
if (other == org.tensorflow.metadata.v0.FixedShape.getDefaultInstance()) return this;
if (dimBuilder_ == null) {
if (!other.dim_.isEmpty()) {
if (dim_.isEmpty()) {
dim_ = other.dim_;
bitField0_ = (bitField0_ & ~0x00000001);
} else {
ensureDimIsMutable();
dim_.addAll(other.dim_);
}
onChanged();
}
} else {
if (!other.dim_.isEmpty()) {
if (dimBuilder_.isEmpty()) {
dimBuilder_.dispose();
dimBuilder_ = null;
dim_ = other.dim_;
bitField0_ = (bitField0_ & ~0x00000001);
dimBuilder_ =
com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders ?
getDimFieldBuilder() : null;
} else {
dimBuilder_.addAllMessages(other.dim_);
}
}
}
this.mergeUnknownFields(other.getUnknownFields());
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 18: {
org.tensorflow.metadata.v0.FixedShape.Dim m =
input.readMessage(
org.tensorflow.metadata.v0.FixedShape.Dim.PARSER,
extensionRegistry);
if (dimBuilder_ == null) {
ensureDimIsMutable();
dim_.add(m);
} else {
dimBuilder_.addMessage(m);
}
break;
} // case 18
default: {
if (!super.parseUnknownField(input, extensionRegistry, tag)) {
done = true; // was an endgroup tag
}
break;
} // default:
} // switch (tag)
} // while (!done)
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.unwrapIOException();
} finally {
onChanged();
} // finally
return this;
}
private int bitField0_;
private java.util.List dim_ =
java.util.Collections.emptyList();
private void ensureDimIsMutable() {
if (!((bitField0_ & 0x00000001) != 0)) {
dim_ = new java.util.ArrayList(dim_);
bitField0_ |= 0x00000001;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.metadata.v0.FixedShape.Dim, org.tensorflow.metadata.v0.FixedShape.Dim.Builder, org.tensorflow.metadata.v0.FixedShape.DimOrBuilder> dimBuilder_;
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public java.util.List getDimList() {
if (dimBuilder_ == null) {
return java.util.Collections.unmodifiableList(dim_);
} else {
return dimBuilder_.getMessageList();
}
}
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public int getDimCount() {
if (dimBuilder_ == null) {
return dim_.size();
} else {
return dimBuilder_.getCount();
}
}
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public org.tensorflow.metadata.v0.FixedShape.Dim getDim(int index) {
if (dimBuilder_ == null) {
return dim_.get(index);
} else {
return dimBuilder_.getMessage(index);
}
}
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public Builder setDim(
int index, org.tensorflow.metadata.v0.FixedShape.Dim value) {
if (dimBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureDimIsMutable();
dim_.set(index, value);
onChanged();
} else {
dimBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public Builder setDim(
int index, org.tensorflow.metadata.v0.FixedShape.Dim.Builder builderForValue) {
if (dimBuilder_ == null) {
ensureDimIsMutable();
dim_.set(index, builderForValue.build());
onChanged();
} else {
dimBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public Builder addDim(org.tensorflow.metadata.v0.FixedShape.Dim value) {
if (dimBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureDimIsMutable();
dim_.add(value);
onChanged();
} else {
dimBuilder_.addMessage(value);
}
return this;
}
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public Builder addDim(
int index, org.tensorflow.metadata.v0.FixedShape.Dim value) {
if (dimBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureDimIsMutable();
dim_.add(index, value);
onChanged();
} else {
dimBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public Builder addDim(
org.tensorflow.metadata.v0.FixedShape.Dim.Builder builderForValue) {
if (dimBuilder_ == null) {
ensureDimIsMutable();
dim_.add(builderForValue.build());
onChanged();
} else {
dimBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public Builder addDim(
int index, org.tensorflow.metadata.v0.FixedShape.Dim.Builder builderForValue) {
if (dimBuilder_ == null) {
ensureDimIsMutable();
dim_.add(index, builderForValue.build());
onChanged();
} else {
dimBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public Builder addAllDim(
java.lang.Iterable values) {
if (dimBuilder_ == null) {
ensureDimIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, dim_);
onChanged();
} else {
dimBuilder_.addAllMessages(values);
}
return this;
}
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public Builder clearDim() {
if (dimBuilder_ == null) {
dim_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
} else {
dimBuilder_.clear();
}
return this;
}
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public Builder removeDim(int index) {
if (dimBuilder_ == null) {
ensureDimIsMutable();
dim_.remove(index);
onChanged();
} else {
dimBuilder_.remove(index);
}
return this;
}
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public org.tensorflow.metadata.v0.FixedShape.Dim.Builder getDimBuilder(
int index) {
return getDimFieldBuilder().getBuilder(index);
}
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public org.tensorflow.metadata.v0.FixedShape.DimOrBuilder getDimOrBuilder(
int index) {
if (dimBuilder_ == null) {
return dim_.get(index); } else {
return dimBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public java.util.List
getDimOrBuilderList() {
if (dimBuilder_ != null) {
return dimBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(dim_);
}
}
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public org.tensorflow.metadata.v0.FixedShape.Dim.Builder addDimBuilder() {
return getDimFieldBuilder().addBuilder(
org.tensorflow.metadata.v0.FixedShape.Dim.getDefaultInstance());
}
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public org.tensorflow.metadata.v0.FixedShape.Dim.Builder addDimBuilder(
int index) {
return getDimFieldBuilder().addBuilder(
index, org.tensorflow.metadata.v0.FixedShape.Dim.getDefaultInstance());
}
/**
*
* The dimensions that define the shape. The total number of values in each
* example is the product of sizes of each dimension.
*
*
* repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;
*/
public java.util.List
getDimBuilderList() {
return getDimFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.metadata.v0.FixedShape.Dim, org.tensorflow.metadata.v0.FixedShape.Dim.Builder, org.tensorflow.metadata.v0.FixedShape.DimOrBuilder>
getDimFieldBuilder() {
if (dimBuilder_ == null) {
dimBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.metadata.v0.FixedShape.Dim, org.tensorflow.metadata.v0.FixedShape.Dim.Builder, org.tensorflow.metadata.v0.FixedShape.DimOrBuilder>(
dim_,
((bitField0_ & 0x00000001) != 0),
getParentForChildren(),
isClean());
dim_ = null;
}
return dimBuilder_;
}
@java.lang.Override
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.metadata.v0.FixedShape)
}
// @@protoc_insertion_point(class_scope:tensorflow.metadata.v0.FixedShape)
private static final org.tensorflow.metadata.v0.FixedShape DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.metadata.v0.FixedShape();
}
public static org.tensorflow.metadata.v0.FixedShape getDefaultInstance() {
return DEFAULT_INSTANCE;
}
@java.lang.Deprecated public static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public FixedShape parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
Builder builder = newBuilder();
try {
builder.mergeFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(builder.buildPartial());
} catch (com.google.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(e)
.setUnfinishedMessage(builder.buildPartial());
}
return builder.buildPartial();
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public org.tensorflow.metadata.v0.FixedShape getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
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