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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/protobuf/meta_graph.proto
package org.tensorflow.framework;
/**
*
* CollectionDef should cover most collections.
* To add a user-defined collection, do one of the following:
* 1. For simple data types, such as string, int, float:
* tf.add_to_collection("your_collection_name", your_simple_value)
* strings will be stored as bytes_list.
* 2. For Protobuf types, there are three ways to add them:
* 1) tf.add_to_collection("your_collection_name",
* your_proto.SerializeToString())
* collection_def {
* key: "user_defined_bytes_collection"
* value {
* bytes_list {
* value: "queue_name: \"test_queue\"\n"
* }
* }
* }
* or
* 2) tf.add_to_collection("your_collection_name", str(your_proto))
* collection_def {
* key: "user_defined_string_collection"
* value {
* bytes_list {
* value: "\n\ntest_queue"
* }
* }
* }
* or
* 3) any_buf = any_pb2.Any()
* tf.add_to_collection("your_collection_name",
* any_buf.Pack(your_proto))
* collection_def {
* key: "user_defined_any_collection"
* value {
* any_list {
* value {
* type_url: "type.googleapis.com/tensorflow.QueueRunnerDef"
* value: "\n\ntest_queue"
* }
* }
* }
* }
* 3. For Python objects, implement to_proto() and from_proto(), and register
* them in the following manner:
* ops.register_proto_function("your_collection_name",
* proto_type,
* to_proto=YourPythonObject.to_proto,
* from_proto=YourPythonObject.from_proto)
* These functions will be invoked to serialize and de-serialize the
* collection. For example,
* ops.register_proto_function(ops.GraphKeys.GLOBAL_VARIABLES,
* proto_type=variable_pb2.VariableDef,
* to_proto=Variable.to_proto,
* from_proto=Variable.from_proto)
*
*
* Protobuf type {@code tensorflow.CollectionDef}
*/
public final class CollectionDef extends
org.nd4j.shade.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.CollectionDef)
CollectionDefOrBuilder {
private static final long serialVersionUID = 0L;
// Use CollectionDef.newBuilder() to construct.
private CollectionDef(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private CollectionDef() {
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
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return new CollectionDef();
}
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org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
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getDescriptor() {
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}
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/**
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/**
*
* NodeList is used for collecting nodes in graph. For example
* collection_def {
* key: "summaries"
* value {
* node_list {
* value: "input_producer/ScalarSummary:0"
* value: "shuffle_batch/ScalarSummary:0"
* value: "ImageSummary:0"
* }
* }
*
*
* Protobuf type {@code tensorflow.CollectionDef.NodeList}
*/
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// @@protoc_insertion_point(message_implements:tensorflow.CollectionDef.NodeList)
NodeListOrBuilder {
private static final long serialVersionUID = 0L;
// Use NodeList.newBuilder() to construct.
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java.nio.ByteBuffer data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
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public static org.tensorflow.framework.CollectionDef.NodeList parseFrom(
org.nd4j.shade.protobuf.ByteString data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
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public static org.tensorflow.framework.CollectionDef.NodeList 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.CollectionDef.NodeList parseFrom(byte[] data)
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/**
*
* NodeList is used for collecting nodes in graph. For example
* collection_def {
* key: "summaries"
* value {
* node_list {
* value: "input_producer/ScalarSummary:0"
* value: "shuffle_batch/ScalarSummary:0"
* value: "ImageSummary:0"
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*
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// @@protoc_insertion_point(builder_implements:tensorflow.CollectionDef.NodeList)
org.tensorflow.framework.CollectionDef.NodeListOrBuilder {
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org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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onChanged();
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public static org.tensorflow.framework.CollectionDef.Int64List parseFrom(
java.nio.ByteBuffer data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
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org.nd4j.shade.protobuf.ByteString data)
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return PARSER.parseFrom(data);
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public static org.tensorflow.framework.CollectionDef.Int64List parseFrom(
org.nd4j.shade.protobuf.ByteString data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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public static org.tensorflow.framework.CollectionDef.Int64List parseFrom(
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org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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public static org.tensorflow.framework.CollectionDef.Int64List parseFrom(
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throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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public static org.tensorflow.framework.CollectionDef.Int64List parseDelimitedFrom(java.io.InputStream input)
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return org.nd4j.shade.protobuf.GeneratedMessageV3
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public static org.tensorflow.framework.CollectionDef.Int64List parseDelimitedFrom(
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org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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public static org.tensorflow.framework.CollectionDef.Int64List parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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public static org.tensorflow.framework.CollectionDef.Int64List parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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@java.lang.Override
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public static Builder newBuilder() {
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public static Builder newBuilder(org.tensorflow.framework.CollectionDef.Int64List prototype) {
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@java.lang.Override
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return this == DEFAULT_INSTANCE
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@java.lang.Override
protected Builder newBuilderForType(
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Builder builder = new Builder(parent);
return builder;
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/**
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public static final class Builder extends
org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.CollectionDef.Int64List)
org.tensorflow.framework.CollectionDef.Int64ListOrBuilder {
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
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value_ = emptyLongList();
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@java.lang.Override
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@java.lang.Override
public Builder setField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
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@java.lang.Override
public Builder clearField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
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@java.lang.Override
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@java.lang.Override
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org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
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public Builder addRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
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@java.lang.Override
public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
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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)
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org.tensorflow.framework.CollectionDef.Int64List parsedMessage = null;
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parsedMessage = (org.tensorflow.framework.CollectionDef.Int64List) e.getUnfinishedMessage();
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ensureValueIsMutable();
value_.setLong(index, value);
onChanged();
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/**
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* @return This builder for chaining.
*/
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ensureValueIsMutable();
value_.addLong(value);
onChanged();
return this;
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/**
* repeated int64 value = 1 [packed = true];
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public Builder addAllValue(
java.lang.Iterable values) {
ensureValueIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
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onChanged();
return this;
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/**
* repeated int64 value = 1 [packed = true];
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*/
public Builder clearValue() {
value_ = emptyLongList();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
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@java.lang.Override
public final Builder setUnknownFields(
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return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
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// @@protoc_insertion_point(builder_scope:tensorflow.CollectionDef.Int64List)
}
// @@protoc_insertion_point(class_scope:tensorflow.CollectionDef.Int64List)
private static final org.tensorflow.framework.CollectionDef.Int64List DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.framework.CollectionDef.Int64List();
}
public static org.tensorflow.framework.CollectionDef.Int64List getDefaultInstance() {
return DEFAULT_INSTANCE;
}
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@java.lang.Override
public Int64List parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new Int64List(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.CollectionDef.Int64List getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
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// @@protoc_insertion_point(interface_extends:tensorflow.CollectionDef.FloatList)
org.nd4j.shade.protobuf.MessageOrBuilder {
/**
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*/
java.util.List getValueList();
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int getValueCount();
/**
* repeated float value = 1 [packed = true];
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*/
float getValue(int index);
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/**
*
* FloatList is used for collecting float values.
*
*
* Protobuf type {@code tensorflow.CollectionDef.FloatList}
*/
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org.nd4j.shade.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.CollectionDef.FloatList)
FloatListOrBuilder {
private static final long serialVersionUID = 0L;
// Use FloatList.newBuilder() to construct.
private FloatList(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
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value_ = emptyFloatList();
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@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new FloatList();
}
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return this.unknownFields;
}
private FloatList(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
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int mutable_bitField0_ = 0;
org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
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try {
boolean done = false;
while (!done) {
int tag = input.readTag();
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case 13: {
if (!((mutable_bitField0_ & 0x00000001) != 0)) {
value_ = newFloatList();
mutable_bitField0_ |= 0x00000001;
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value_.addFloat(input.readFloat());
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case 10: {
int length = input.readRawVarint32();
int limit = input.pushLimit(length);
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while (input.getBytesUntilLimit() > 0) {
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input.popLimit(limit);
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default: {
if (!parseUnknownField(
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} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(this);
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throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
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if (((mutable_bitField0_ & 0x00000001) != 0)) {
value_.makeImmutable(); // C
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this.unknownFields = unknownFields.build();
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public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.framework.MetaGraphProtos.internal_static_tensorflow_CollectionDef_FloatList_descriptor;
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@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
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getSerializedSize();
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output.writeUInt32NoTag(10);
output.writeUInt32NoTag(valueMemoizedSerializedSize);
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size = 0;
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org.tensorflow.framework.CollectionDef.FloatList other = (org.tensorflow.framework.CollectionDef.FloatList) obj;
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org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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return PARSER.parseFrom(data, extensionRegistry);
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org.nd4j.shade.protobuf.ByteString data)
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return PARSER.parseFrom(data);
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public static org.tensorflow.framework.CollectionDef.FloatList parseFrom(
org.nd4j.shade.protobuf.ByteString data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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return PARSER.parseFrom(data, extensionRegistry);
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byte[] data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
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throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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public static org.tensorflow.framework.CollectionDef.FloatList parseFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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public static org.tensorflow.framework.CollectionDef.FloatList parseDelimitedFrom(java.io.InputStream input)
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public static org.tensorflow.framework.CollectionDef.FloatList parseDelimitedFrom(
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org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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public static org.tensorflow.framework.CollectionDef.FloatList parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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}
public static org.tensorflow.framework.CollectionDef.FloatList parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
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public static Builder newBuilder(org.tensorflow.framework.CollectionDef.FloatList prototype) {
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@java.lang.Override
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@java.lang.Override
protected Builder newBuilderForType(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
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/**
*
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*/
public org.nd4j.shade.protobuf.Any getValue(int index) {
if (valueBuilder_ == null) {
return value_.get(index);
} else {
return valueBuilder_.getMessage(index);
}
}
/**
* repeated .google.protobuf.Any value = 1;
*/
public Builder setValue(
int index, org.nd4j.shade.protobuf.Any value) {
if (valueBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureValueIsMutable();
value_.set(index, value);
onChanged();
} else {
valueBuilder_.setMessage(index, value);
}
return this;
}
/**
* repeated .google.protobuf.Any value = 1;
*/
public Builder setValue(
int index, org.nd4j.shade.protobuf.Any.Builder builderForValue) {
if (valueBuilder_ == null) {
ensureValueIsMutable();
value_.set(index, builderForValue.build());
onChanged();
} else {
valueBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
* repeated .google.protobuf.Any value = 1;
*/
public Builder addValue(org.nd4j.shade.protobuf.Any value) {
if (valueBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureValueIsMutable();
value_.add(value);
onChanged();
} else {
valueBuilder_.addMessage(value);
}
return this;
}
/**
* repeated .google.protobuf.Any value = 1;
*/
public Builder addValue(
int index, org.nd4j.shade.protobuf.Any value) {
if (valueBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureValueIsMutable();
value_.add(index, value);
onChanged();
} else {
valueBuilder_.addMessage(index, value);
}
return this;
}
/**
* repeated .google.protobuf.Any value = 1;
*/
public Builder addValue(
org.nd4j.shade.protobuf.Any.Builder builderForValue) {
if (valueBuilder_ == null) {
ensureValueIsMutable();
value_.add(builderForValue.build());
onChanged();
} else {
valueBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
* repeated .google.protobuf.Any value = 1;
*/
public Builder addValue(
int index, org.nd4j.shade.protobuf.Any.Builder builderForValue) {
if (valueBuilder_ == null) {
ensureValueIsMutable();
value_.add(index, builderForValue.build());
onChanged();
} else {
valueBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
* repeated .google.protobuf.Any value = 1;
*/
public Builder addAllValue(
java.lang.Iterable values) {
if (valueBuilder_ == null) {
ensureValueIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, value_);
onChanged();
} else {
valueBuilder_.addAllMessages(values);
}
return this;
}
/**
* repeated .google.protobuf.Any value = 1;
*/
public Builder clearValue() {
if (valueBuilder_ == null) {
value_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
} else {
valueBuilder_.clear();
}
return this;
}
/**
* repeated .google.protobuf.Any value = 1;
*/
public Builder removeValue(int index) {
if (valueBuilder_ == null) {
ensureValueIsMutable();
value_.remove(index);
onChanged();
} else {
valueBuilder_.remove(index);
}
return this;
}
/**
* repeated .google.protobuf.Any value = 1;
*/
public org.nd4j.shade.protobuf.Any.Builder getValueBuilder(
int index) {
return getValueFieldBuilder().getBuilder(index);
}
/**
* repeated .google.protobuf.Any value = 1;
*/
public org.nd4j.shade.protobuf.AnyOrBuilder getValueOrBuilder(
int index) {
if (valueBuilder_ == null) {
return value_.get(index); } else {
return valueBuilder_.getMessageOrBuilder(index);
}
}
/**
* repeated .google.protobuf.Any value = 1;
*/
public java.util.List
getValueOrBuilderList() {
if (valueBuilder_ != null) {
return valueBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(value_);
}
}
/**
* repeated .google.protobuf.Any value = 1;
*/
public org.nd4j.shade.protobuf.Any.Builder addValueBuilder() {
return getValueFieldBuilder().addBuilder(
org.nd4j.shade.protobuf.Any.getDefaultInstance());
}
/**
* repeated .google.protobuf.Any value = 1;
*/
public org.nd4j.shade.protobuf.Any.Builder addValueBuilder(
int index) {
return getValueFieldBuilder().addBuilder(
index, org.nd4j.shade.protobuf.Any.getDefaultInstance());
}
/**
* repeated .google.protobuf.Any value = 1;
*/
public java.util.List
getValueBuilderList() {
return getValueFieldBuilder().getBuilderList();
}
private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.nd4j.shade.protobuf.Any, org.nd4j.shade.protobuf.Any.Builder, org.nd4j.shade.protobuf.AnyOrBuilder>
getValueFieldBuilder() {
if (valueBuilder_ == null) {
valueBuilder_ = new org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.nd4j.shade.protobuf.Any, org.nd4j.shade.protobuf.Any.Builder, org.nd4j.shade.protobuf.AnyOrBuilder>(
value_,
((bitField0_ & 0x00000001) != 0),
getParentForChildren(),
isClean());
value_ = null;
}
return valueBuilder_;
}
@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.CollectionDef.AnyList)
}
// @@protoc_insertion_point(class_scope:tensorflow.CollectionDef.AnyList)
private static final org.tensorflow.framework.CollectionDef.AnyList DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.framework.CollectionDef.AnyList();
}
public static org.tensorflow.framework.CollectionDef.AnyList getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final org.nd4j.shade.protobuf.Parser
PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
@java.lang.Override
public AnyList parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new AnyList(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.CollectionDef.AnyList getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
private int kindCase_ = 0;
private java.lang.Object kind_;
public enum KindCase
implements org.nd4j.shade.protobuf.Internal.EnumLite,
org.nd4j.shade.protobuf.AbstractMessage.InternalOneOfEnum {
NODE_LIST(1),
BYTES_LIST(2),
INT64_LIST(3),
FLOAT_LIST(4),
ANY_LIST(5),
KIND_NOT_SET(0);
private final int value;
private KindCase(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 KindCase valueOf(int value) {
return forNumber(value);
}
public static KindCase forNumber(int value) {
switch (value) {
case 1: return NODE_LIST;
case 2: return BYTES_LIST;
case 3: return INT64_LIST;
case 4: return FLOAT_LIST;
case 5: return ANY_LIST;
case 0: return KIND_NOT_SET;
default: return null;
}
}
public int getNumber() {
return this.value;
}
};
public KindCase
getKindCase() {
return KindCase.forNumber(
kindCase_);
}
public static final int NODE_LIST_FIELD_NUMBER = 1;
/**
* .tensorflow.CollectionDef.NodeList node_list = 1;
* @return Whether the nodeList field is set.
*/
@java.lang.Override
public boolean hasNodeList() {
return kindCase_ == 1;
}
/**
* .tensorflow.CollectionDef.NodeList node_list = 1;
* @return The nodeList.
*/
@java.lang.Override
public org.tensorflow.framework.CollectionDef.NodeList getNodeList() {
if (kindCase_ == 1) {
return (org.tensorflow.framework.CollectionDef.NodeList) kind_;
}
return org.tensorflow.framework.CollectionDef.NodeList.getDefaultInstance();
}
/**
* .tensorflow.CollectionDef.NodeList node_list = 1;
*/
@java.lang.Override
public org.tensorflow.framework.CollectionDef.NodeListOrBuilder getNodeListOrBuilder() {
if (kindCase_ == 1) {
return (org.tensorflow.framework.CollectionDef.NodeList) kind_;
}
return org.tensorflow.framework.CollectionDef.NodeList.getDefaultInstance();
}
public static final int BYTES_LIST_FIELD_NUMBER = 2;
/**
* .tensorflow.CollectionDef.BytesList bytes_list = 2;
* @return Whether the bytesList field is set.
*/
@java.lang.Override
public boolean hasBytesList() {
return kindCase_ == 2;
}
/**
* .tensorflow.CollectionDef.BytesList bytes_list = 2;
* @return The bytesList.
*/
@java.lang.Override
public org.tensorflow.framework.CollectionDef.BytesList getBytesList() {
if (kindCase_ == 2) {
return (org.tensorflow.framework.CollectionDef.BytesList) kind_;
}
return org.tensorflow.framework.CollectionDef.BytesList.getDefaultInstance();
}
/**
* .tensorflow.CollectionDef.BytesList bytes_list = 2;
*/
@java.lang.Override
public org.tensorflow.framework.CollectionDef.BytesListOrBuilder getBytesListOrBuilder() {
if (kindCase_ == 2) {
return (org.tensorflow.framework.CollectionDef.BytesList) kind_;
}
return org.tensorflow.framework.CollectionDef.BytesList.getDefaultInstance();
}
public static final int INT64_LIST_FIELD_NUMBER = 3;
/**
* .tensorflow.CollectionDef.Int64List int64_list = 3;
* @return Whether the int64List field is set.
*/
@java.lang.Override
public boolean hasInt64List() {
return kindCase_ == 3;
}
/**
* .tensorflow.CollectionDef.Int64List int64_list = 3;
* @return The int64List.
*/
@java.lang.Override
public org.tensorflow.framework.CollectionDef.Int64List getInt64List() {
if (kindCase_ == 3) {
return (org.tensorflow.framework.CollectionDef.Int64List) kind_;
}
return org.tensorflow.framework.CollectionDef.Int64List.getDefaultInstance();
}
/**
* .tensorflow.CollectionDef.Int64List int64_list = 3;
*/
@java.lang.Override
public org.tensorflow.framework.CollectionDef.Int64ListOrBuilder getInt64ListOrBuilder() {
if (kindCase_ == 3) {
return (org.tensorflow.framework.CollectionDef.Int64List) kind_;
}
return org.tensorflow.framework.CollectionDef.Int64List.getDefaultInstance();
}
public static final int FLOAT_LIST_FIELD_NUMBER = 4;
/**
* .tensorflow.CollectionDef.FloatList float_list = 4;
* @return Whether the floatList field is set.
*/
@java.lang.Override
public boolean hasFloatList() {
return kindCase_ == 4;
}
/**
* .tensorflow.CollectionDef.FloatList float_list = 4;
* @return The floatList.
*/
@java.lang.Override
public org.tensorflow.framework.CollectionDef.FloatList getFloatList() {
if (kindCase_ == 4) {
return (org.tensorflow.framework.CollectionDef.FloatList) kind_;
}
return org.tensorflow.framework.CollectionDef.FloatList.getDefaultInstance();
}
/**
* .tensorflow.CollectionDef.FloatList float_list = 4;
*/
@java.lang.Override
public org.tensorflow.framework.CollectionDef.FloatListOrBuilder getFloatListOrBuilder() {
if (kindCase_ == 4) {
return (org.tensorflow.framework.CollectionDef.FloatList) kind_;
}
return org.tensorflow.framework.CollectionDef.FloatList.getDefaultInstance();
}
public static final int ANY_LIST_FIELD_NUMBER = 5;
/**
* .tensorflow.CollectionDef.AnyList any_list = 5;
* @return Whether the anyList field is set.
*/
@java.lang.Override
public boolean hasAnyList() {
return kindCase_ == 5;
}
/**
* .tensorflow.CollectionDef.AnyList any_list = 5;
* @return The anyList.
*/
@java.lang.Override
public org.tensorflow.framework.CollectionDef.AnyList getAnyList() {
if (kindCase_ == 5) {
return (org.tensorflow.framework.CollectionDef.AnyList) kind_;
}
return org.tensorflow.framework.CollectionDef.AnyList.getDefaultInstance();
}
/**
* .tensorflow.CollectionDef.AnyList any_list = 5;
*/
@java.lang.Override
public org.tensorflow.framework.CollectionDef.AnyListOrBuilder getAnyListOrBuilder() {
if (kindCase_ == 5) {
return (org.tensorflow.framework.CollectionDef.AnyList) kind_;
}
return org.tensorflow.framework.CollectionDef.AnyList.getDefaultInstance();
}
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 (kindCase_ == 1) {
output.writeMessage(1, (org.tensorflow.framework.CollectionDef.NodeList) kind_);
}
if (kindCase_ == 2) {
output.writeMessage(2, (org.tensorflow.framework.CollectionDef.BytesList) kind_);
}
if (kindCase_ == 3) {
output.writeMessage(3, (org.tensorflow.framework.CollectionDef.Int64List) kind_);
}
if (kindCase_ == 4) {
output.writeMessage(4, (org.tensorflow.framework.CollectionDef.FloatList) kind_);
}
if (kindCase_ == 5) {
output.writeMessage(5, (org.tensorflow.framework.CollectionDef.AnyList) kind_);
}
unknownFields.writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (kindCase_ == 1) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeMessageSize(1, (org.tensorflow.framework.CollectionDef.NodeList) kind_);
}
if (kindCase_ == 2) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeMessageSize(2, (org.tensorflow.framework.CollectionDef.BytesList) kind_);
}
if (kindCase_ == 3) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeMessageSize(3, (org.tensorflow.framework.CollectionDef.Int64List) kind_);
}
if (kindCase_ == 4) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeMessageSize(4, (org.tensorflow.framework.CollectionDef.FloatList) kind_);
}
if (kindCase_ == 5) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeMessageSize(5, (org.tensorflow.framework.CollectionDef.AnyList) kind_);
}
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.CollectionDef)) {
return super.equals(obj);
}
org.tensorflow.framework.CollectionDef other = (org.tensorflow.framework.CollectionDef) obj;
if (!getKindCase().equals(other.getKindCase())) return false;
switch (kindCase_) {
case 1:
if (!getNodeList()
.equals(other.getNodeList())) return false;
break;
case 2:
if (!getBytesList()
.equals(other.getBytesList())) return false;
break;
case 3:
if (!getInt64List()
.equals(other.getInt64List())) return false;
break;
case 4:
if (!getFloatList()
.equals(other.getFloatList())) return false;
break;
case 5:
if (!getAnyList()
.equals(other.getAnyList())) return false;
break;
case 0:
default:
}
if (!unknownFields.equals(other.unknownFields)) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
switch (kindCase_) {
case 1:
hash = (37 * hash) + NODE_LIST_FIELD_NUMBER;
hash = (53 * hash) + getNodeList().hashCode();
break;
case 2:
hash = (37 * hash) + BYTES_LIST_FIELD_NUMBER;
hash = (53 * hash) + getBytesList().hashCode();
break;
case 3:
hash = (37 * hash) + INT64_LIST_FIELD_NUMBER;
hash = (53 * hash) + getInt64List().hashCode();
break;
case 4:
hash = (37 * hash) + FLOAT_LIST_FIELD_NUMBER;
hash = (53 * hash) + getFloatList().hashCode();
break;
case 5:
hash = (37 * hash) + ANY_LIST_FIELD_NUMBER;
hash = (53 * hash) + getAnyList().hashCode();
break;
case 0:
default:
}
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.tensorflow.framework.CollectionDef parseFrom(
java.nio.ByteBuffer data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.CollectionDef 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.CollectionDef parseFrom(
org.nd4j.shade.protobuf.ByteString data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.CollectionDef 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.CollectionDef parseFrom(byte[] data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.CollectionDef 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.CollectionDef parseFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.framework.CollectionDef 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.CollectionDef parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.tensorflow.framework.CollectionDef 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.CollectionDef 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.CollectionDef 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.CollectionDef 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;
}
/**
*
* CollectionDef should cover most collections.
* To add a user-defined collection, do one of the following:
* 1. For simple data types, such as string, int, float:
* tf.add_to_collection("your_collection_name", your_simple_value)
* strings will be stored as bytes_list.
* 2. For Protobuf types, there are three ways to add them:
* 1) tf.add_to_collection("your_collection_name",
* your_proto.SerializeToString())
* collection_def {
* key: "user_defined_bytes_collection"
* value {
* bytes_list {
* value: "queue_name: \"test_queue\"\n"
* }
* }
* }
* or
* 2) tf.add_to_collection("your_collection_name", str(your_proto))
* collection_def {
* key: "user_defined_string_collection"
* value {
* bytes_list {
* value: "\n\ntest_queue"
* }
* }
* }
* or
* 3) any_buf = any_pb2.Any()
* tf.add_to_collection("your_collection_name",
* any_buf.Pack(your_proto))
* collection_def {
* key: "user_defined_any_collection"
* value {
* any_list {
* value {
* type_url: "type.googleapis.com/tensorflow.QueueRunnerDef"
* value: "\n\ntest_queue"
* }
* }
* }
* }
* 3. For Python objects, implement to_proto() and from_proto(), and register
* them in the following manner:
* ops.register_proto_function("your_collection_name",
* proto_type,
* to_proto=YourPythonObject.to_proto,
* from_proto=YourPythonObject.from_proto)
* These functions will be invoked to serialize and de-serialize the
* collection. For example,
* ops.register_proto_function(ops.GraphKeys.GLOBAL_VARIABLES,
* proto_type=variable_pb2.VariableDef,
* to_proto=Variable.to_proto,
* from_proto=Variable.from_proto)
*
