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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}
*/
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hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.tensorflow.framework.CollectionDef parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.CollectionDef parseFrom(
java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.framework.CollectionDef parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.CollectionDef 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.framework.CollectionDef parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.CollectionDef parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.framework.CollectionDef parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.framework.CollectionDef 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.framework.CollectionDef parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.tensorflow.framework.CollectionDef 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.framework.CollectionDef parseFrom(
com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.framework.CollectionDef parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(org.tensorflow.framework.CollectionDef prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
public Builder toBuilder() {
return this == DEFAULT_INSTANCE
? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(
com.google.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)
*
