@tensorflow/tfjs-node/dist/proto/api_pb.js

This repository provides native TensorFlow execution in backend JavaScript applications under the Node.js runtime, accelerated by the TensorFlow C binary under the hood. It provides the same API as [TensorFlow.js](https://js.tensorflow.org/api/latest/).

// source: api.proto
/**
 * @fileoverview
 * @enhanceable
 * @suppress {missingRequire} reports error on implicit type usages.
 * @suppress {messageConventions} JS Compiler reports an error if a variable or
 *     field starts with 'MSG_' and isn't a translatable message.
 * @public
 */
// GENERATED CODE -- DO NOT EDIT!
/* eslint-disable */
// @ts-nocheck

var jspb = require('google-protobuf');
var goog = jspb;
var global = Function('return this')();

goog.exportSymbol('proto.tensorflow.Any', null, global);
goog.exportSymbol('proto.tensorflow.AssetFileDef', null, global);
goog.exportSymbol('proto.tensorflow.AttrValue', null, global);
goog.exportSymbol('proto.tensorflow.AttrValue.ListValue', null, global);
goog.exportSymbol('proto.tensorflow.AttrValue.ValueCase', null, global);
goog.exportSymbol('proto.tensorflow.CollectionDef', null, global);
goog.exportSymbol('proto.tensorflow.CollectionDef.AnyList', null, global);
goog.exportSymbol('proto.tensorflow.CollectionDef.BytesList', null, global);
goog.exportSymbol('proto.tensorflow.CollectionDef.FloatList', null, global);
goog.exportSymbol('proto.tensorflow.CollectionDef.Int64List', null, global);
goog.exportSymbol('proto.tensorflow.CollectionDef.KindCase', null, global);
goog.exportSymbol('proto.tensorflow.CollectionDef.NodeList', null, global);
goog.exportSymbol('proto.tensorflow.DataClass', null, global);
goog.exportSymbol('proto.tensorflow.DataType', null, global);
goog.exportSymbol('proto.tensorflow.FunctionDef', null, global);
goog.exportSymbol('proto.tensorflow.FunctionDefLibrary', null, global);
goog.exportSymbol('proto.tensorflow.GradientDef', null, global);
goog.exportSymbol('proto.tensorflow.GraphDef', null, global);
goog.exportSymbol('proto.tensorflow.HistogramPluginData', null, global);
goog.exportSymbol('proto.tensorflow.HistogramProto', null, global);
goog.exportSymbol('proto.tensorflow.MetaGraphDef', null, global);
goog.exportSymbol('proto.tensorflow.MetaGraphDef.MetaInfoDef', null, global);
goog.exportSymbol('proto.tensorflow.NameAttrList', null, global);
goog.exportSymbol('proto.tensorflow.NodeDef', null, global);
goog.exportSymbol('proto.tensorflow.OpDef', null, global);
goog.exportSymbol('proto.tensorflow.OpDef.ArgDef', null, global);
goog.exportSymbol('proto.tensorflow.OpDef.AttrDef', null, global);
goog.exportSymbol('proto.tensorflow.OpDef.OpDeprecation', null, global);
goog.exportSymbol('proto.tensorflow.OpList', null, global);
goog.exportSymbol('proto.tensorflow.SavedModel', null, global);
goog.exportSymbol('proto.tensorflow.SaverDef', null, global);
goog.exportSymbol('proto.tensorflow.SaverDef.CheckpointFormatVersion', null, global);
goog.exportSymbol('proto.tensorflow.SignatureDef', null, global);
goog.exportSymbol('proto.tensorflow.Summary', null, global);
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goog.exportSymbol('proto.tensorflow.Summary.Image', null, global);
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goog.exportSymbol('proto.tensorflow.VersionDef', null, global);
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/**
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 * @param {Array=} opt_data Optional initial data array, typically from a
 * server response, or constructed directly in Javascript. The array is used
 * in place and becomes part of the constructed object. It is not cloned.
 * If no data is provided, the constructed object will be empty, but still
 * valid.
 * @extends {jspb.Message}
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proto.tensorflow.SavedModel = function(opt_data) {
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  proto.tensorflow.SavedModel.displayName = 'proto.tensorflow.SavedModel';
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/**
 * Generated by JsPbCodeGenerator.
 * @param {Array=} opt_data Optional initial data array, typically from a
 * server response, or constructed directly in Javascript. The array is used
 * in place and becomes part of the constructed object. It is not cloned.
 * If no data is provided, the constructed object will be empty, but still
 * valid.
 * @extends {jspb.Message}
 * @constructor
 */
proto.tensorflow.FunctionDefLibrary = function(opt_data) {
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goog.inherits(proto.tensorflow.FunctionDefLibrary, jspb.Message);
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  proto.tensorflow.FunctionDefLibrary.displayName = 'proto.tensorflow.FunctionDefLibrary';
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/**
 * Generated by JsPbCodeGenerator.
 * @param {Array=} opt_data Optional initial data array, typically from a
 * server response, or constructed directly in Javascript. The array is used
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 * If no data is provided, the constructed object will be empty, but still
 * valid.
 * @extends {jspb.Message}
 * @constructor
 */
proto.tensorflow.FunctionDef = function(opt_data) {
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goog.inherits(proto.tensorflow.FunctionDef, jspb.Message);
if (goog.DEBUG && !COMPILED) {
  /**
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  proto.tensorflow.FunctionDef.displayName = 'proto.tensorflow.FunctionDef';
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/**
 * Generated by JsPbCodeGenerator.
 * @param {Array=} opt_data Optional initial data array, typically from a
 * server response, or constructed directly in Javascript. The array is used
 * in place and becomes part of the constructed object. It is not cloned.
 * If no data is provided, the constructed object will be empty, but still
 * valid.
 * @extends {jspb.Message}
 * @constructor
 */
proto.tensorflow.GradientDef = function(opt_data) {
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goog.inherits(proto.tensorflow.GradientDef, jspb.Message);
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/**
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 * @param {Array=} opt_data Optional initial data array, typically from a
 * server response, or constructed directly in Javascript. The array is used
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 * If no data is provided, the constructed object will be empty, but still
 * valid.
 * @extends {jspb.Message}
 * @constructor
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proto.tensorflow.SummaryDescription = function(opt_data) {
  jspb.Message.initialize(this, opt_data, 0, -1, null, null);
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goog.inherits(proto.tensorflow.SummaryDescription, jspb.Message);
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/**
 * Generated by JsPbCodeGenerator.
 * @param {Array=} opt_data Optional initial data array, typically from a
 * server response, or constructed directly in Javascript. The array is used
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 * If no data is provided, the constructed object will be empty, but still
 * valid.
 * @extends {jspb.Message}
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proto.tensorflow.HistogramProto = function(opt_data) {
  jspb.Message.initialize(this, opt_data, 0, -1, proto.tensorflow.HistogramProto.repeatedFields_, null);
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goog.inherits(proto.tensorflow.HistogramProto, jspb.Message);
if (goog.DEBUG && !COMPILED) {
  /**
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  proto.tensorflow.HistogramProto.displayName = 'proto.tensorflow.HistogramProto';
}
/**
 * Generated by JsPbCodeGenerator.
 * @param {Array=} opt_data Optional initial data array, typically from a
 * server response, or constructed directly in Javascript. The array is used
 * in place and becomes part of the constructed object. It is not cloned.
 * If no data is provided, the constructed object will be empty, but still
 * valid.
 * @extends {jspb.Message}
 * @constructor
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proto.tensorflow.SummaryMetadata = function(opt_data) {
  jspb.Message.initialize(this, opt_data, 0, -1, null, null);
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goog.inherits(proto.tensorflow.SummaryMetadata, jspb.Message);
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}
/**
 * Generated by JsPbCodeGenerator.
 * @param {Array=} opt_data Optional initial data array, typically from a
 * server response, or constructed directly in Javascript. The array is used
 * in place and becomes part of the constructed object. It is not cloned.
 * If no data is provided, the constructed object will be empty, but still
 * valid.
 * @extends {jspb.Message}
 * @constructor
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proto.tensorflow.SummaryMetadata.PluginData = function(opt_data) {
  jspb.Message.initialize(this, opt_data, 0, -1, null, null);
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goog.inherits(proto.tensorflow.SummaryMetadata.PluginData, jspb.Message);
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  proto.tensorflow.SummaryMetadata.PluginData.displayName = 'proto.tensorflow.SummaryMetadata.PluginData';
}
/**
 * Generated by JsPbCodeGenerator.
 * @param {Array=} opt_data Optional initial data array, typically from a
 * server response, or constructed directly in Javascript. The array is used
 * in place and becomes part of the constructed object. It is not cloned.
 * If no data is provided, the constructed object will be empty, but still
 * valid.
 * @extends {jspb.Message}
 * @constructor
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proto.tensorflow.Summary = function(opt_data) {
  jspb.Message.initialize(this, opt_data, 0, -1, proto.tensorflow.Summary.repeatedFields_, null);
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goog.inherits(proto.tensorflow.Summary, jspb.Message);
if (goog.DEBUG && !COMPILED) {
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  proto.tensorflow.Summary.displayName = 'proto.tensorflow.Summary';
}
/**
 * Generated by JsPbCodeGenerator.
 * @param {Array=} opt_data Optional initial data array, typically from a
 * server response, or constructed directly in Javascript. The array is used
 * in place and becomes part of the constructed object. It is not cloned.
 * If no data is provided, the constructed object will be empty, but still
 * valid.
 * @extends {jspb.Message}
 * @constructor
 */
proto.tensorflow.Summary.Image = function(opt_data) {
  jspb.Message.initialize(this, opt_data, 0, -1, null, null);
};
goog.inherits(proto.tensorflow.Summary.Image, jspb.Message);
if (goog.DEBUG && !COMPILED) {
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  proto.tensorflow.Summary.Image.displayName = 'proto.tensorflow.Summary.Image';
}
/**
 * Generated by JsPbCodeGenerator.
 * @param {Array=} opt_data Optional initial data array, typically from a
 * server response, or constructed directly in Javascript. The array is used
 * in place and becomes part of the constructed object. It is not cloned.
 * If no data is provided, the constructed object will be empty, but still
 * valid.
 * @extends {jspb.Message}
 * @constructor
 */
proto.tensorflow.Summary.Audio = function(opt_data) {
  jspb.Message.initialize(this, opt_data, 0, -1, null, null);
};
goog.inherits(proto.tensorflow.Summary.Audio, jspb.Message);
if (goog.DEBUG && !COMPILED) {
  /**
   * @public
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  proto.tensorflow.Summary.Audio.displayName = 'proto.tensorflow.Summary.Audio';
}
/**
 * Generated by JsPbCodeGenerator.
 * @param {Array=} opt_data Optional initial data array, typically from a
 * server response, or constructed directly in Javascript. The array is used
 * in place and becomes part of the constructed object. It is not cloned.
 * If no data is provided, the constructed object will be empty, but still
 * valid.
 * @extends {jspb.Message}
 * @constructor
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proto.tensorflow.Summary.Value = function(opt_data) {
  jspb.Message.initialize(this, opt_data, 0, -1, null, proto.tensorflow.Summary.Value.oneofGroups_);
};
goog.inherits(proto.tensorflow.Summary.Value, jspb.Message);
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  /**
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  proto.tensorflow.Summary.Value.displayName = 'proto.tensorflow.Summary.Value';
}
/**
 * Generated by JsPbCodeGenerator.
 * @param {Array=} opt_data Optional initial data array, typically from a
 * server response, or constructed directly in Javascript. The array is used
 * in place and becomes part of the constructed object. It is not cloned.
 * If no data is provided, the constructed object will be empty, but still
 * valid.
 * @extends {jspb.Message}
 * @constructor
 */
proto.tensorflow.HistogramPluginData = function(opt_data) {
  jspb.Message.initialize(this, opt_data, 0, -1, null, null);
};
goog.inherits(proto.tensorflow.HistogramPluginData, jspb.Message);
if (goog.DEBUG && !COMPILED) {
  /**
   * @public
   * @override
   */
  proto.tensorflow.HistogramPluginData.displayName = 'proto.tensorflow.HistogramPluginData';
}



if (jspb.Message.GENERATE_TO_OBJECT) {
/**
 * Creates an object representation of this proto.
 * Field names that are reserved in JavaScript and will be renamed to pb_name.
 * Optional fields that are not set will be set to undefined.
 * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
 * For the list of reserved names please see:
 *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
 * @param {boolean=} opt_includeInstance Deprecated. whether to include the
 *     JSPB instance for transitional soy proto support:
 *     http://goto/soy-param-migration
 * @return {!Object}
 */
proto.tensorflow.Any.prototype.toObject = function(opt_includeInstance) {
  return proto.tensorflow.Any.toObject(opt_includeInstance, this);
};


/**
 * Static version of the {@see toObject} method.
 * @param {boolean|undefined} includeInstance Deprecated. Whether to include
 *     the JSPB instance for transitional soy proto support:
 *     http://goto/soy-param-migration
 * @param {!proto.tensorflow.Any} msg The msg instance to transform.
 * @return {!Object}
 * @suppress {unusedLocalVariables} f is only used for nested messages
 */
proto.tensorflow.Any.toObject = function(includeInstance, msg) {
  var f, obj = {
    typeUrl: jspb.Message.getFieldWithDefault(msg, 1, ""),
    value: msg.getValue_asB64()
  };

  if (includeInstance) {
    obj.$jspbMessageInstance = msg;
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  return obj;
};
}


/**
 * Deserializes binary data (in protobuf wire format).
 * @param {jspb.ByteSource} bytes The bytes to deserialize.
 * @return {!proto.tensorflow.Any}
 */
proto.tensorflow.Any.deserializeBinary = function(bytes) {
  var reader = new jspb.BinaryReader(bytes);
  var msg = new proto.tensorflow.Any;
  return proto.tensorflow.Any.deserializeBinaryFromReader(msg, reader);
};


/**
 * Deserializes binary data (in protobuf wire format) from the
 * given reader into the given message object.
 * @param {!proto.tensorflow.Any} msg The message object to deserialize into.
 * @param {!jspb.BinaryReader} reader The BinaryReader to use.
 * @return {!proto.tensorflow.Any}
 */
proto.tensorflow.Any.deserializeBinaryFromReader = function(msg, reader) {
  while (reader.nextField()) {
    if (reader.isEndGroup()) {
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    var field = reader.getFieldNumber();
    switch (field) {
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      var value = /** @type {string} */ (reader.readString());
      msg.setTypeUrl(value);
      break;
    case 2:
      var value = /** @type {!Uint8Array} */ (reader.readBytes());
      msg.setValue(value);
      break;
    default:
      reader.skipField();
      break;
    }
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  return msg;
};


/**
 * Serializes the message to binary data (in protobuf wire format).
 * @return {!Uint8Array}
 */
proto.tensorflow.Any.prototype.serializeBinary = function() {
  var writer = new jspb.BinaryWriter();
  proto.tensorflow.Any.serializeBinaryToWriter(this, writer);
  return writer.getResultBuffer();
};


/**
 * Serializes the given message to binary data (in protobuf wire
 * format), writing to the given BinaryWriter.
 * @param {!proto.tensorflow.Any} message
 * @param {!jspb.BinaryWriter} writer
 * @suppress {unusedLocalVariables} f is only used for nested messages
 */
proto.tensorflow.Any.serializeBinaryToWriter = function(message, writer) {
  var f = undefined;
  f = message.getTypeUrl();
  if (f.length > 0) {
    writer.writeString(
      1,
      f
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  }
  f = message.getValue_asU8();
  if (f.length > 0) {
    writer.writeBytes(
      2,
      f
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};


/**
 * optional string type_url = 1;
 * @return {string}
 */
proto.tensorflow.Any.prototype.getTypeUrl = function() {
  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
};


/**
 * @param {string} value
 * @return {!proto.tensorflow.Any} returns this
 */
proto.tensorflow.Any.prototype.setTypeUrl = function(value) {
  return jspb.Message.setProto3StringField(this, 1, value);
};


/**
 * optional bytes value = 2;
 * @return {!(string|Uint8Array)}
 */
proto.tensorflow.Any.prototype.getValue = function() {
  return /** @type {!(string|Uint8Array)} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
};


/**
 * optional bytes value = 2;
 * This is a type-conversion wrapper around `getValue()`
 * @return {string}
 */
proto.tensorflow.Any.prototype.getValue_asB64 = function() {
  return /** @type {string} */ (jspb.Message.bytesAsB64(
      this.getValue()));
};


/**
 * optional bytes value = 2;
 * Note that Uint8Array is not supported on all browsers.
 * @see http://caniuse.com/Uint8Array
 * This is a type-conversion wrapper around `getValue()`
 * @return {!Uint8Array}
 */
proto.tensorflow.Any.prototype.getValue_asU8 = function() {
  return /** @type {!Uint8Array} */ (jspb.Message.bytesAsU8(
      this.getValue()));
};


/**
 * @param {!(string|Uint8Array)} value
 * @return {!proto.tensorflow.Any} returns this
 */
proto.tensorflow.Any.prototype.setValue = function(value) {
  return jspb.Message.setProto3BytesField(this, 2, value);
};



/**
 * List of repeated fields within this message type.
 * @private {!Array<number>}
 * @const
 */
proto.tensorflow.TensorShape.repeatedFields_ = [2];



if (jspb.Message.GENERATE_TO_OBJECT) {
/**
 * Creates an object representation of this proto.
 * Field names that are reserved in JavaScript and will be renamed to pb_name.
 * Optional fields that are not set will be set to undefined.
 * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
 * For the list of reserved names please see:
 *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
 * @param {boolean=} opt_includeInstance Deprecated. whether to include the
 *     JSPB instance for transitional soy proto support:
 *     http://goto/soy-param-migration
 * @return {!Object}
 */
proto.tensorflow.TensorShape.prototype.toObject = function(opt_includeInstance) {
  return proto.tensorflow.TensorShape.toObject(opt_includeInstance, this);
};


/**
 * Static version of the {@see toObject} method.
 * @param {boolean|undefined} includeInstance Deprecated. Whether to include
 *     the JSPB instance for transitional soy proto support:
 *     http://goto/soy-param-migration
 * @param {!proto.tensorflow.TensorShape} msg The msg instance to transform.
 * @return {!Object}
 * @suppress {unusedLocalVariables} f is only used for nested messages
 */
proto.tensorflow.TensorShape.toObject = function(includeInstance, msg) {
  var f, obj = {
    dimList: jspb.Message.toObjectList(msg.getDimList(),
    proto.tensorflow.TensorShape.Dim.toObject, includeInstance),
    unknownRank: jspb.Message.getBooleanFieldWithDefault(msg, 3, false)
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/**
 * Deserializes binary data (in protobuf wire format).
 * @param {jspb.ByteSource} bytes The bytes to deserialize.
 * @return {!proto.tensorflow.TensorShape}
 */
proto.tensorflow.TensorShape.deserializeBinary = function(bytes) {
  var reader = new jspb.BinaryReader(bytes);
  var msg = new proto.tensorflow.TensorShape;
  return proto.tensorflow.TensorShape.deserializeBinaryFromReader(msg, reader);
};


/**
 * Deserializes binary data (in protobuf wire format) from the
 * given reader into the given message object.
 * @param {!proto.tensorflow.TensorShape} msg The message object to deserialize into.
 * @param {!jspb.BinaryReader} reader The BinaryReader to use.
 * @return {!proto.tensorflow.TensorShape}
 */
proto.tensorflow.TensorShape.deserializeBinaryFromReader = function(msg, reader) {
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      var value = new proto.tensorflow.TensorShape.Dim;
      reader.readMessage(value,proto.tensorflow.TensorShape.Dim.deserializeBinaryFromReader);
      msg.addDim(value);
      break;
    case 3:
      var value = /** @type {boolean} */ (reader.readBool());
      msg.setUnknownRank(value);
      break;
    default:
      reader.skipField();
      break;
    }
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  return msg;
};


/**
 * Serializes the message to binary data (in protobuf wire format).
 * @return {!Uint8Array}
 */
proto.tensorflow.TensorShape.prototype.serializeBinary = function() {
  var writer = new jspb.BinaryWriter();
  proto.tensorflow.TensorShape.serializeBinaryToWriter(this, writer);
  return writer.getResultBuffer();
};


/**
 * Serializes the given message to binary data (in protobuf wire
 * format), writing to the given BinaryWriter.
 * @param {!proto.tensorflow.TensorShape} message
 * @param {!jspb.BinaryWriter} writer
 * @suppress {unusedLocalVariables} f is only used for nested messages
 */
proto.tensorflow.TensorShape.serializeBinaryToWriter = function(message, writer) {
  var f = undefined;
  f = message.getDimList();
  if (f.length > 0) {
    writer.writeRepeatedMessage(
      2,
      f,
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  }
  f = message.getUnknownRank();
  if (f) {
    writer.writeBool(
      3,
      f
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  }
};





if (jspb.Message.GENERATE_TO_OBJECT) {
/**
 * Creates an object representation of this proto.
 * Field names that are reserved in JavaScript and will be renamed to pb_name.
 * Optional fields that are not set will be set to undefined.
 * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
 * For the list of reserved names please see:
 *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
 * @param {boolean=} opt_includeInstance Deprecated. whether to include the
 *     JSPB instance for transitional soy proto support:
 *     http://goto/soy-param-migration
 * @return {!Object}
 */
proto.tensorflow.TensorShape.Dim.prototype.toObject = function(opt_includeInstance) {
  return proto.tensorflow.TensorShape.Dim.toObject(opt_includeInstance, this);
};


/**
 * Static version of the {@see toObject} method.
 * @param {boolean|undefined} includeInstance Deprecated. Whether to include
 *     the JSPB instance for transitional soy proto support:
 *     http://goto/soy-param-migration
 * @param {!proto.tensorflow.TensorShape.Dim} msg The msg instance to transform.
 * @return {!Object}
 * @suppress {unusedLocalVariables} f is only used for nested messages
 */
proto.tensorflow.TensorShape.Dim.toObject = function(includeInstance, msg) {
  var f, obj = {
    size: jspb.Message.getFieldWithDefault(msg, 1, 0),
    name: jspb.Message.getFieldWithDefault(msg, 2, "")
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  if (includeInstance) {
    obj.$jspbMessageInstance = msg;
  }
  return obj;
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}


/**
 * Deserializes binary data (in protobuf wire format).
 * @param {jspb.ByteSource} bytes The bytes to deserialize.
 * @return {!proto.tensorflow.TensorShape.Dim}
 */
proto.tensorflow.TensorShape.Dim.deserializeBinary = function(bytes) {
  var reader = new jspb.BinaryReader(bytes);
  var msg = new proto.tensorflow.TensorShape.Dim;
  return proto.tensorflow.TensorShape.Dim.deserializeBinaryFromReader(msg, reader);
};


/**
 * Deserializes binary data (in protobuf wire format) from the
 * given reader into the given message object.
 * @param {!proto.tensorflow.TensorShape.Dim} msg The message object to deserialize into.
 * @param {!jspb.BinaryReader} reader The BinaryReader to use.
 * @return {!proto.tensorflow.TensorShape.Dim}
 */
proto.tensorflow.TensorShape.Dim.deserializeBinaryFromReader = function(msg, reader) {
  while (reader.nextField()) {
    if (reader.isEndGroup()) {
      break;
    }
    var field = reader.getFieldNumber();
    switch (field) {
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      var value = /** @type {number} */ (reader.readInt64());
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      break;
    case 2:
      var value = /** @type {string} */ (reader.readString());
      msg.setName(value);
      break;
    default:
      reader.skipField();
      break;
    }
  }
  return msg;
};


/**
 * Serializes the message to binary data (in protobuf wire format).
 * @return {!Uint8Array}
 */
proto.tensorflow.TensorShape.Dim.prototype.serializeBinary = function() {
  var writer = new jspb.BinaryWriter();
  proto.tensorflow.TensorShape.Dim.serializeBinaryToWriter(this, writer);
  return writer.getResultBuffer();
};


/**
 * Serializes the given message to binary data (in protobuf wire
 * format), writing to the given BinaryWriter.
 * @param {!proto.tensorflow.TensorShape.Dim} message
 * @param {!jspb.BinaryWriter} writer
 * @suppress {unusedLocalVariables} f is only used for nested messages
 */
proto.tensorflow.TensorShape.Dim.serializeBinaryToWriter = function(message, writer) {
  var f = undefined;
  f = message.getSize();
  if (f !== 0) {
    writer.writeInt64(
      1,
      f
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  }
  f = message.getName();
  if (f.length > 0) {
    writer.writeString(
      2,
      f
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};


/**
 * optional int64 size = 1;
 * @return {number}
 */
proto.tensorflow.TensorShape.Dim.prototype.getSize = function() {
  return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 1, 0));
};


/**
 * @param {number} value
 * @return {!proto.tensorflow.TensorShape.Dim} returns this
 */
proto.tensorflow.TensorShape.Dim.prototype.setSize = function(value) {
  return jspb.Message.setProto3IntField(this, 1, value);
};


/**
 * optional string name = 2;
 * @return {string}
 */
proto.tensorflow.TensorShape.Dim.prototype.getName = function() {
  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
};


/**
 * @param {string} value
 * @return {!proto.tensorflow.TensorShape.Dim} returns this
 */
proto.tensorflow.TensorShape.Dim.prototype.setName = function(value) {
  return jspb.Message.setProto3StringField(this, 2, value);
};


/**
 * repeated Dim dim = 2;
 * @return {!Array<!proto.tensorflow.TensorShape.Dim>}
 */
proto.tensorflow.TensorShape.prototype.getDimList = function() {
  return /** @type{!Array<!proto.tensorflow.TensorShape.Dim>} */ (
    jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.TensorShape.Dim, 2));
};


/**
 * @param {!Array<!proto.tensorflow.TensorShape.Dim>} value
 * @return {!proto.tensorflow.TensorShape} returns this
*/
proto.tensorflow.TensorShape.prototype.setDimList = function(value) {
  return jspb.Message.setRepeatedWrapperField(this, 2, value);
};


/**
 * @param {!proto.tensorflow.TensorShape.Dim=} opt_value
 * @param {number=} opt_index
 * @return {!proto.tensorflow.TensorShape.Dim}
 */
proto.tensorflow.TensorShape.prototype.addDim = function(opt_value, opt_index) {
  return jspb.Message.addToRepeatedWrapperField(this, 2, opt_value, proto.tensorflow.TensorShape.Dim, opt_index);
};


/**
 * Clears the list making it empty but non-null.
 * @return {!proto.tensorflow.TensorShape} returns this
 */
proto.tensorflow.TensorShape.prototype.clearDimList = function() {
  return this.setDimList([]);
};


/**
 * optional bool unknown_rank = 3;
 * @return {boolean}
 */
proto.tensorflow.TensorShape.prototype.getUnknownRank = function() {
  return /** @type {boolean} */ (jspb.Message.getBooleanFieldWithDefault(this, 3, false));
};


/**
 * @param {boolean} value
 * @return {!proto.tensorflow.TensorShape} returns this
 */
proto.tensorflow.TensorShape.prototype.setUnknownRank = function(value) {
  return jspb.Message.setProto3BooleanField(this, 3, value);
};



/**
 * List of r