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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/framework/tensor_slice.proto
package org.tensorflow.framework;
/**
*
* Can only be interpreted if you know the corresponding TensorShape.
*
*
* Protobuf type {@code tensorflow.TensorSliceProto}
*/
public final class TensorSliceProto extends
org.nd4j.shade.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.TensorSliceProto)
TensorSliceProtoOrBuilder {
private static final long serialVersionUID = 0L;
// Use TensorSliceProto.newBuilder() to construct.
private TensorSliceProto(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
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*
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org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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/**
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// @@protoc_insertion_point(builder_implements:tensorflow.TensorSliceProto.Extent)
org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder {
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onChanged();
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// @@protoc_insertion_point(builder_scope:tensorflow.TensorSliceProto.Extent)
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/**
*
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* Must have one entry for each of the dimension of the tensor that this
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*
*
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*/
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/**
*
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*
*
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*/
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/**
*
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* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
* dimensions in the TensorShape.
*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
*/
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/**
*
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* Must have one entry for each of the dimension of the tensor that this
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* dimensions in the TensorShape.
*
*
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*/
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/**
*
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* Must have one entry for each of the dimension of the tensor that this
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*
*
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unknownFields.writeTo(output);
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size = 0;
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int hash = 41;
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public static org.tensorflow.framework.TensorSliceProto parseFrom(
java.nio.ByteBuffer data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.TensorSliceProto 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.TensorSliceProto parseFrom(
org.nd4j.shade.protobuf.ByteString data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.TensorSliceProto 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.TensorSliceProto parseFrom(byte[] data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.TensorSliceProto 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.TensorSliceProto parseFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.framework.TensorSliceProto 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.TensorSliceProto parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.tensorflow.framework.TensorSliceProto 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.TensorSliceProto 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.TensorSliceProto 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);
}
@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(org.tensorflow.framework.TensorSliceProto 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(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
* Can only be interpreted if you know the corresponding TensorShape.
*
*
* Protobuf type {@code tensorflow.TensorSliceProto}
*/
public static final class Builder extends
org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.TensorSliceProto)
org.tensorflow.framework.TensorSliceProtoOrBuilder {
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.framework.TensorSliceProtos.internal_static_tensorflow_TensorSliceProto_descriptor;
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
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return org.tensorflow.framework.TensorSliceProtos.internal_static_tensorflow_TensorSliceProto_fieldAccessorTable
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org.tensorflow.framework.TensorSliceProto.class, org.tensorflow.framework.TensorSliceProto.Builder.class);
}
// Construct using org.tensorflow.framework.TensorSliceProto.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
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getExtentFieldBuilder();
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@java.lang.Override
public Builder clear() {
super.clear();
if (extentBuilder_ == null) {
extent_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000001);
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extentBuilder_.clear();
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return this;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return org.tensorflow.framework.TensorSliceProtos.internal_static_tensorflow_TensorSliceProto_descriptor;
}
@java.lang.Override
public org.tensorflow.framework.TensorSliceProto getDefaultInstanceForType() {
return org.tensorflow.framework.TensorSliceProto.getDefaultInstance();
}
@java.lang.Override
public org.tensorflow.framework.TensorSliceProto build() {
org.tensorflow.framework.TensorSliceProto result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public org.tensorflow.framework.TensorSliceProto buildPartial() {
org.tensorflow.framework.TensorSliceProto result = new org.tensorflow.framework.TensorSliceProto(this);
int from_bitField0_ = bitField0_;
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if (((bitField0_ & 0x00000001) != 0)) {
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result.extent_ = extent_;
} else {
result.extent_ = extentBuilder_.build();
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onBuilt();
return result;
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@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(
org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
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@java.lang.Override
public Builder addRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.addRepeatedField(field, value);
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@java.lang.Override
public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
if (other instanceof org.tensorflow.framework.TensorSliceProto) {
return mergeFrom((org.tensorflow.framework.TensorSliceProto)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.tensorflow.framework.TensorSliceProto other) {
if (other == org.tensorflow.framework.TensorSliceProto.getDefaultInstance()) return this;
if (extentBuilder_ == null) {
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extent_ = other.extent_;
bitField0_ = (bitField0_ & ~0x00000001);
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extent_.addAll(other.extent_);
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onChanged();
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extent_ = other.extent_;
bitField0_ = (bitField0_ & ~0x00000001);
extentBuilder_ =
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extentBuilder_.addAllMessages(other.extent_);
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this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
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@java.lang.Override
public final boolean isInitialized() {
return true;
}
@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.TensorSliceProto parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (org.tensorflow.framework.TensorSliceProto) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
return this;
}
private int bitField0_;
private java.util.List extent_ =
java.util.Collections.emptyList();
private void ensureExtentIsMutable() {
if (!((bitField0_ & 0x00000001) != 0)) {
extent_ = new java.util.ArrayList(extent_);
bitField0_ |= 0x00000001;
}
}
private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.TensorSliceProto.Extent, org.tensorflow.framework.TensorSliceProto.Extent.Builder, org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder> extentBuilder_;
/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
* dimensions in the TensorShape.
*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
*/
public java.util.List getExtentList() {
if (extentBuilder_ == null) {
return java.util.Collections.unmodifiableList(extent_);
} else {
return extentBuilder_.getMessageList();
}
}
/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
* dimensions in the TensorShape.
*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
*/
public int getExtentCount() {
if (extentBuilder_ == null) {
return extent_.size();
} else {
return extentBuilder_.getCount();
}
}
/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
* dimensions in the TensorShape.
*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
*/
public org.tensorflow.framework.TensorSliceProto.Extent getExtent(int index) {
if (extentBuilder_ == null) {
return extent_.get(index);
} else {
return extentBuilder_.getMessage(index);
}
}
/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
* dimensions in the TensorShape.
*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
*/
public Builder setExtent(
int index, org.tensorflow.framework.TensorSliceProto.Extent value) {
if (extentBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureExtentIsMutable();
extent_.set(index, value);
onChanged();
} else {
extentBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
* dimensions in the TensorShape.
*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
*/
public Builder setExtent(
int index, org.tensorflow.framework.TensorSliceProto.Extent.Builder builderForValue) {
if (extentBuilder_ == null) {
ensureExtentIsMutable();
extent_.set(index, builderForValue.build());
onChanged();
} else {
extentBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
* dimensions in the TensorShape.
*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
*/
public Builder addExtent(org.tensorflow.framework.TensorSliceProto.Extent value) {
if (extentBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureExtentIsMutable();
extent_.add(value);
onChanged();
} else {
extentBuilder_.addMessage(value);
}
return this;
}
/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
* dimensions in the TensorShape.
*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
*/
public Builder addExtent(
int index, org.tensorflow.framework.TensorSliceProto.Extent value) {
if (extentBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureExtentIsMutable();
extent_.add(index, value);
onChanged();
} else {
extentBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
* dimensions in the TensorShape.
*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
*/
public Builder addExtent(
org.tensorflow.framework.TensorSliceProto.Extent.Builder builderForValue) {
if (extentBuilder_ == null) {
ensureExtentIsMutable();
extent_.add(builderForValue.build());
onChanged();
} else {
extentBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
* dimensions in the TensorShape.
*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
*/
public Builder addExtent(
int index, org.tensorflow.framework.TensorSliceProto.Extent.Builder builderForValue) {
if (extentBuilder_ == null) {
ensureExtentIsMutable();
extent_.add(index, builderForValue.build());
onChanged();
} else {
extentBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
* dimensions in the TensorShape.
*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
*/
public Builder addAllExtent(
java.lang.Iterable values) {
if (extentBuilder_ == null) {
ensureExtentIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, extent_);
onChanged();
} else {
extentBuilder_.addAllMessages(values);
}
return this;
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/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
* dimensions in the TensorShape.
*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
*/
public Builder clearExtent() {
if (extentBuilder_ == null) {
extent_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
} else {
extentBuilder_.clear();
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return this;
}
/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
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*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
*/
public Builder removeExtent(int index) {
if (extentBuilder_ == null) {
ensureExtentIsMutable();
extent_.remove(index);
onChanged();
} else {
extentBuilder_.remove(index);
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return this;
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/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
* dimensions in the TensorShape.
*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
*/
public org.tensorflow.framework.TensorSliceProto.Extent.Builder getExtentBuilder(
int index) {
return getExtentFieldBuilder().getBuilder(index);
}
/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
* dimensions in the TensorShape.
*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
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int index) {
if (extentBuilder_ == null) {
return extent_.get(index); } else {
return extentBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
* dimensions in the TensorShape.
*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
*/
public java.util.List
getExtentOrBuilderList() {
if (extentBuilder_ != null) {
return extentBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(extent_);
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/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
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*
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return getExtentFieldBuilder().addBuilder(
org.tensorflow.framework.TensorSliceProto.Extent.getDefaultInstance());
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/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
* dimensions in the TensorShape.
*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
*/
public org.tensorflow.framework.TensorSliceProto.Extent.Builder addExtentBuilder(
int index) {
return getExtentFieldBuilder().addBuilder(
index, org.tensorflow.framework.TensorSliceProto.Extent.getDefaultInstance());
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/**
*
* Extent of the slice in all tensor dimensions.
* Must have one entry for each of the dimension of the tensor that this
* slice belongs to. The order of sizes is the same as the order of
* dimensions in the TensorShape.
*
*
* repeated .tensorflow.TensorSliceProto.Extent extent = 1;
*/
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getExtentBuilderList() {
return getExtentFieldBuilder().getBuilderList();
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private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
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getParentForChildren(),
isClean());
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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.TensorSliceProto)
}
// @@protoc_insertion_point(class_scope:tensorflow.TensorSliceProto)
private static final org.tensorflow.framework.TensorSliceProto DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.framework.TensorSliceProto();
}
public static org.tensorflow.framework.TensorSliceProto getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final org.nd4j.shade.protobuf.Parser
PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
@java.lang.Override
public TensorSliceProto parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new TensorSliceProto(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.TensorSliceProto getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}