@tensorflow/tfjs-node/src/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 {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!

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.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.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.Tensor', null, global);
goog.exportSymbol('proto.tensorflow.TensorInfo', null, global);
goog.exportSymbol('proto.tensorflow.TensorInfo.CooSparse', null, global);
goog.exportSymbol('proto.tensorflow.TensorInfo.EncodingCase', null, global);
goog.exportSymbol('proto.tensorflow.TensorShape', null, global);
goog.exportSymbol('proto.tensorflow.TensorShape.Dim', null, global);
goog.exportSymbol('proto.tensorflow.VersionDef', null, global);
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   * @override
   */
  proto.tensorflow.SavedModel.displayName = 'proto.tensorflow.SavedModel';
}
/**
 * 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);
if (goog.DEBUG && !COMPILED) {
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  proto.tensorflow.FunctionDefLibrary.displayName = 'proto.tensorflow.FunctionDefLibrary';
}
/**
 * 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.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';
}
/**
 * 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) {
  jspb.Message.initialize(this, opt_data, 0, -1, null, null);
};
goog.inherits(proto.tensorflow.GradientDef, jspb.Message);
if (goog.DEBUG && !COMPILED) {
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  proto.tensorflow.GradientDef.displayName = 'proto.tensorflow.GradientDef';
}



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.
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 * 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) {
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/**
 * 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);
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/**
 * 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}
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proto.tensorflow.Any.deserializeBinaryFromReader = function(msg, reader) {
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/**
 * Serializes the message to binary data (in protobuf wire format).
 * @return {!Uint8Array}
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proto.tensorflow.Any.prototype.serializeBinary = function() {
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  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) {
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      f
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/**
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proto.tensorflow.Any.prototype.getTypeUrl = function() {
  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
};


/** @param {string} value */
proto.tensorflow.Any.prototype.setTypeUrl = function(value) {
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};


/**
 * optional bytes value = 2;
 * @return {!(string|Uint8Array)}
 */
proto.tensorflow.Any.prototype.getValue = function() {
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};


/**
 * optional bytes value = 2;
 * This is a type-conversion wrapper around `getValue()`
 * @return {string}
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proto.tensorflow.Any.prototype.getValue_asB64 = function() {
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      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 */
proto.tensorflow.Any.prototype.setValue = function(value) {
  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}
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proto.tensorflow.TensorShape.toObject = function(includeInstance, msg) {
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    dimList: jspb.Message.toObjectList(msg.getDimList(),
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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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  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) {
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      2,
      f,
      proto.tensorflow.TensorShape.Dim.serializeBinaryToWriter
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  if (f) {
    writer.writeBool(
      3,
      f
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  }
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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) {
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  if (includeInstance) {
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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) {
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  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) {
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  f = message.getSize();
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      1,
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};


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


/** @param {number} value */
proto.tensorflow.TensorShape.Dim.prototype.setSize = function(value) {
  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 */
proto.tensorflow.TensorShape.Dim.prototype.setName = function(value) {
  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 */
proto.tensorflow.TensorShape.prototype.setDimList = function(value) {
  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.
 */
proto.tensorflow.TensorShape.prototype.clearDimList = function() {
  this.setDimList([]);
};


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


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



/**
 * List of repeated fields within this message type.
 * @private {!Array<number>}
 * @const
 */
proto.tensorflow.Tensor.repeatedFields_ = [5,6,7,8,9,10,11,16,17];



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.Tensor.prototype.toObject = function(opt_includeInstance) {
  return proto.tensorflow.Tensor.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.Tensor} msg The msg instance to transform.
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 */
proto.tensorflow.Tensor.toObject = function(includeInstance, msg) {
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    dtype: jspb.Message.getFieldWithDefault(msg, 1, 0),
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    versionNumber: jspb.Message.getFieldWithDefault(msg, 3, 0),
    tensorContent: msg.getTensorContent_asB64(),
    floatValList: (f = jspb.Message.getRepeatedFloatingPointField(msg, 5)) == null ? undefined : f,
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    boolValList: (f = jspb.Message.getRepeatedBooleanField(msg, 11)) == null ? undefined : f,
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}


/**
 * Deserializes binary data (in protobuf wire format).
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 * @return {!proto.tensorflow.Tensor}
 */
proto.tensorflow.Tensor.deserializeBinary = function(bytes) {
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  var msg = new proto.tensorflow.Tensor;
  return proto.tensorflow.Tensor.deserializeBinaryFromReader(msg, reader);
};


/**
 * Deserializes binary data (in protobuf wire format) from the
 * given reader into the given message object.
 * @param {!proto.tensorflow.Tensor} msg The message object to deserialize into.
 * @param {!jspb.BinaryReader} reader The BinaryReader to use.
 * @return {!proto.tensorflow.Tensor}
 */
proto.tensorflow.Tensor.deserializeBinaryFromReader = function(msg, reader) {
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    switch (field) {
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    case 2:
      var value = new proto.tensorflow.TensorShape;
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      break;
    case 3:
      var value = /** @type {number} */ (reader.readInt32());
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    case 4:
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      break;
    case 5:
      var value = /** @type {!Array<number>} */ (reader.readPackedFloat());
      msg.setFloatValList(value);
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    case 6:
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    case 7:
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    case 8:
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    case 10:
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      break;
    case 11:
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    case 16:
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      break;
    case 17:
      var value = /** @type {!Array<number>} */ (reader.readPackedUint64());
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    default:
      reader.skipField();
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/**
 * Serializes the message to binary data (in protobuf wire format).
 * @return {!Uint8Array}
 */
proto.tensorflow.Tensor.prototype.serializeBinary = function() {
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/**
 * Serializes the given message to binary data (in protobuf wire
 * format), writing to the given BinaryWriter.
 * @param {!proto.tensorflow.Tensor} message
 * @param {!jspb.BinaryWriter} writer
 * @suppress {unusedLocalVariables} f is only used for nested messages
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proto.tensorflow.Tensor.serializeBinaryToWriter = function(message, writer) {
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  f = message.getFloatValList();
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  f = message.getIntValList();
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      f
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  f = message.getStringValList_asU8();
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  f = message.getScomplexValList();
  if (f.length > 0) {
    writer.writePackedFloat(
      9,
      f
    );
  }
  f = message.getInt64ValList();
  if (f.length > 0) {
    writer.writePackedInt64(
      10,
      f
    );
  }
  f = message.getBoolValList();
  if (f.length > 0) {
    writer.writePackedBool(
      11,
      f
    );
  }
  f = message.getUint32ValList();
  if (f.length > 0) {
    writer.writePackedUint32(
      16,
      f
    );
  }
  f = message.getUint64ValList();
  if (f.length > 0) {
    writer.writePackedUint64(
      17,
      f
    );
  }
};


/**
 * optional DataType dtype = 1;
 * @return {!proto.tensorflow.DataType}
 */
proto.tensorflow.Tensor.prototype.getDtype = function() {
  return /** @type {!proto.tensorflow.DataType} */ (jspb.Message.getFieldWithDefault(this, 1, 0));
};


/** @param {!proto.tensorflow.DataType} value */
proto.tensorflow.Tensor.prototype.setDtype = function(value) {
  jspb.Message.setProto3EnumField(this, 1, value);
};


/**
 * optional TensorShape tensor_shape = 2;
 * @return {?proto.tensorflow.TensorShape}
 */
proto.tensorflow.Tensor.prototype.getTensorShape = functio