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- /* jshint esversion: 6 */
- // Experimental
- var npz = npz || {};
- npz.ModelFactory = class {
- match(context) {
- const identifier = context.identifier;
- const extension = identifier.split('.').pop().toLowerCase();
- if (extension === 'npz') {
- const entries = context.entries('zip');
- return entries.length > 0 && entries.every((entry) => entry.name.endsWith('.npy'));
- }
- return false;
- }
- open(context, host) {
- return host.require('./numpy').then((numpy) => {
- return host.require('./pickle').then((pickle) => {
- const identifier = context.identifier;
- try {
- const modules = [];
- const modulesMap = new Map();
- const functionTable = new Map();
- const constructorTable = new Map();
- functionTable.set('_codecs.encode', function(obj /*, econding */) {
- return obj;
- });
- constructorTable.set('numpy.core.multiarray._reconstruct', function(subtype, shape, dtype) {
- this.subtype = subtype;
- this.shape = shape;
- this.dtype = dtype;
- this.__setstate__ = function(state) {
- this.version = state[0];
- this.shape = state[1];
- this.typecode = state[2];
- this.is_f_order = state[3];
- this.rawdata = state[4];
- };
- this.__read__ = function(unpickler) {
- const array = {};
- array.__type__ = this.subtype;
- array.dtype = this.typecode;
- array.shape = this.shape;
- let size = array.dtype.itemsize;
- for (let i = 0; i < array.shape.length; i++) {
- size = size * array.shape[i];
- }
- if (typeof this.rawdata == 'string') {
- array.data = unpickler.unescape(this.rawdata, size);
- if (array.data.length != size) {
- throw new npz.Error('Invalid string array data size.');
- }
- }
- else {
- array.data = this.rawdata;
- if (array.data.length != size) {
- // TODO
- // throw new npz.Error('Invalid array data size.');
- }
- }
- return array;
- };
- });
- constructorTable.set('numpy.dtype', function(obj, align, copy) {
- switch (obj) {
- case 'i1': this.name = 'int8'; this.itemsize = 1; break;
- case 'i2': this.name = 'int16'; this.itemsize = 2; break;
- case 'i4': this.name = 'int32'; this.itemsize = 4; break;
- case 'i8': this.name = 'int64'; this.itemsize = 8; break;
- case 'u1': this.name = 'uint8'; this.itemsize = 1; break;
- case 'u2': this.name = 'uint16'; this.itemsize = 2; break;
- case 'u4': this.name = 'uint32'; this.itemsize = 4; break;
- case 'u8': this.name = 'uint64'; this.itemsize = 8; break;
- case 'f4': this.name = 'float32'; this.itemsize = 4; break;
- case 'f8': this.name = 'float64'; this.itemsize = 8; break;
- default:
- if (obj.startsWith('V')) {
- this.itemsize = Number(obj.substring(1));
- this.name = 'void' + (this.itemsize * 8).toString();
- }
- else if (obj.startsWith('O')) {
- this.itemsize = Number(obj.substring(1));
- this.name = 'object';
- }
- else if (obj.startsWith('S')) {
- this.itemsize = Number(obj.substring(1));
- this.name = 'string';
- }
- else if (obj.startsWith('U')) {
- this.itemsize = Number(obj.substring(1));
- this.name = 'string';
- }
- else if (obj.startsWith('M')) {
- this.itemsize = Number(obj.substring(1));
- this.name = 'datetime';
- }
- else {
- throw new npz.Error("Unknown dtype '" + obj.toString() + "'.");
- }
- break;
- }
- this.align = align;
- this.copy = copy;
- this.__setstate__ = function(state) {
- switch (state.length) {
- case 8:
- this.version = state[0];
- this.byteorder = state[1];
- this.subarray = state[2];
- this.names = state[3];
- this.fields = state[4];
- this.elsize = state[5];
- this.alignment = state[6];
- this.int_dtypeflags = state[7];
- break;
- default:
- throw new npz.Error("Unknown numpy.dtype setstate length '" + state.length.toString() + "'.");
- }
- };
- });
- const function_call = (name, args) => {
- if (functionTable.has(name)) {
- const func = functionTable.get(name);
- return func.apply(null, args);
- }
- const obj = { __type__: name };
- if (constructorTable.has(name)) {
- const constructor = constructorTable.get(name);
- constructor.apply(obj, args);
- }
- else {
- throw new npz.Error("Unknown function '" + name + "'.");
- }
- return obj;
- };
- const dataTypeMap = new Map([
- [ 'i1', 'int8'], [ 'i2', 'int16' ], [ 'i4', 'int32'], [ 'i8', 'int64' ],
- [ 'u1', 'uint8'], [ 'u2', 'uint16' ], [ 'u4', 'uint32'], [ 'u8', 'uint64' ],
- [ 'f2', 'float16'], [ 'f4', 'float32' ], [ 'f8', 'float64']
- ]);
- for (const entry of context.entries('zip')) {
- if (!entry.name.endsWith('.npy')) {
- throw new npz.Error("Invalid file name '" + entry.name + "'.");
- }
- const id = entry.name.replace(/\.npy$/, '');
- const parts = id.split('/');
- const parameterName = parts.pop();
- const moduleName = (parts.length >= 2) ? parts.join('/') : '';
- if (!modulesMap.has(moduleName)) {
- const newModule = { name: moduleName, parameters: [] };
- modules.push(newModule);
- modulesMap.set(moduleName, newModule);
- }
- const module = modulesMap.get(moduleName);
- let array = new numpy.Array(entry.data);
- if (array.byteOrder === '|') {
- if (array.dataType !== 'O') {
- throw new npz.Error("Invalid data type '" + array.dataType + "'.");
- }
- const unpickler = new pickle.Unpickler(array.data);
- const root = unpickler.load(function_call);
- array = { dataType: root.dtype.name, shape: null, data: null, byteOrder: '|' };
- }
- module.parameters.push({
- name: parameterName,
- dataType: dataTypeMap.has(array.dataType) ? dataTypeMap.get(array.dataType) : array.dataType,
- shape: array.shape,
- data: array.data,
- byteOrder: array.byteOrder
- });
- }
- return new npz.Model(modules, 'NumPy Zip');
- }
- catch (error) {
- const message = error && error.message ? error.message : error.toString();
- throw new npz.Error(message.replace(/\.$/, '') + " in '" + identifier + "'.");
- }
- });
- });
- }
- };
- npz.Model = class {
- constructor(modules, format) {
- this._format = format;
- this._graphs = [];
- this._graphs.push(new npz.Graph(modules));
- }
- get format() {
- return this._format;
- }
- get graphs() {
- return this._graphs;
- }
- };
- npz.Graph = class {
- constructor(modules) {
- this._nodes = [];
- for (const module of modules) {
- this._nodes.push(new npz.Node(module));
- }
- }
- get inputs() {
- return [];
- }
- get outputs() {
- return [];
- }
- get nodes() {
- return this._nodes;
- }
- };
- npz.Parameter = class {
- constructor(name, args) {
- this._name = name;
- this._arguments = args;
- }
- get name() {
- return this._name;
- }
- get visible() {
- return true;
- }
- get arguments() {
- return this._arguments;
- }
- };
- npz.Argument = class {
- constructor(name, initializer) {
- if (typeof name !== 'string') {
- throw new npz.Error("Invalid argument identifier '" + JSON.stringify(name) + "'.");
- }
- this._name = name;
- this._initializer = initializer || null;
- }
- get name() {
- return this._name;
- }
- get type() {
- return this._initializer.type;
- }
- get initializer() {
- return this._initializer;
- }
- };
- npz.Node = class {
- constructor(module) {
- this._name = module.name;
- this._inputs = [];
- for (const parameter of module.parameters) {
- const name = this._name ? [ this._name, parameter.name ].join('/') : parameter.name;
- const initializer = new npz.Tensor(name, parameter.dataType, parameter.shape, parameter.data, parameter.byteOrder);
- this._inputs.push(new npz.Parameter(parameter.name, [
- new npz.Argument(name, initializer)
- ]));
- }
- }
- get type() {
- return 'Module';
- }
- get name() {
- return this._name;
- }
- get metadata() {
- return null;
- }
- get inputs() {
- return this._inputs;
- }
- get outputs() {
- return [];
- }
- get attributes() {
- return [];
- }
- };
- npz.Tensor = class {
- constructor(name, dataType, shape, data, byteOrder) {
- this._name = name;
- this._type = new npz.TensorType(dataType, new npz.TensorShape(shape));
- this._shape = shape;
- this._data = data;
- this._byteOrder = byteOrder;
- }
- get kind() {
- return '';
- }
- get name() {
- return this._name;
- }
- get type(){
- return this._type;
- }
- get state() {
- return this._context().state;
- }
- get value() {
- const context = this._context();
- if (context.state) {
- return null;
- }
- context.limit = Number.MAX_SAFE_INTEGER;
- return this._decode(context, 0);
- }
- toString() {
- const context = this._context();
- if (context.state) {
- return '';
- }
- context.limit = 10000;
- const value = this._decode(context, 0);
- return npz.Tensor._stringify(value, '', ' ');
- }
- _context() {
- const context = {};
- context.index = 0;
- context.count = 0;
- context.state = null;
- if (this._byteOrder !== '<' && this._byteOrder !== '>') {
- context.state = 'Tensor byte order is not supported.';
- return context;
- }
- if (this._reference) {
- context.state = 'Tensor reference not implemented.';
- return context;
- }
- if (!this._data || this._data.length == 0) {
- context.state = 'Tensor data is empty.';
- return context;
- }
- switch (this._type.dataType) {
- case 'float16':
- context.itemSize = 2;
- break;
- case 'float32':
- context.itemSize = 4;
- break;
- case 'float64':
- context.itemSize = 8;
- break;
- case 'int8':
- context.itemSize = 1;
- break;
- case 'int16':
- context.itemSize = 2;
- break;
- case 'int32':
- context.itemSize = 4;
- break;
- case 'int64':
- context.itemSize = 8;
- break;
- case 'uint8':
- context.itemSize = 1;
- break;
- case 'uint16':
- context.itemSize = 2;
- break;
- case 'uint32':
- context.itemSize = 4;
- break;
- default:
- context.state = 'Tensor data type is not supported.';
- return context;
- }
- context.dimensions = this._type.shape.dimensions;
- context.dataType = this._type.dataType;
- context.littleEndian = this._byteOrder == '<';
- context.data = this._data;
- context.rawData = new DataView(this._data.buffer, this._data.byteOffset, this._data.byteLength);
- return context;
- }
- _decode(context, dimension) {
- const littleEndian = context.littleEndian;
- const shape = context.dimensions.length == 0 ? [ 1 ] : context.dimensions;
- const results = [];
- const size = shape[dimension];
- if (dimension == shape.length - 1) {
- for (let i = 0; i < size; i++) {
- if (context.count > context.limit) {
- results.push('...');
- return results;
- }
- if (context.rawData) {
- switch (context.dataType) {
- case 'float16':
- results.push(context.rawData.getFloat16(context.index, littleEndian));
- break;
- case 'float32':
- results.push(context.rawData.getFloat32(context.index, littleEndian));
- break;
- case 'float64':
- results.push(context.rawData.getFloat64(context.index, littleEndian));
- break;
- case 'int8':
- results.push(context.rawData.getInt8(context.index, littleEndian));
- break;
- case 'int16':
- results.push(context.rawData.getInt16(context.index, littleEndian));
- break;
- case 'int32':
- results.push(context.rawData.getInt32(context.index, littleEndian));
- break;
- case 'int64':
- results.push(context.rawData.getInt64(context.index, littleEndian));
- break;
- case 'uint8':
- results.push(context.rawData.getUint8(context.index, littleEndian));
- break;
- case 'uint16':
- results.push(context.rawData.getUint16(context.index, littleEndian));
- break;
- case 'uint32':
- results.push(context.rawData.getUint32(context.index, littleEndian));
- break;
- }
- context.index += context.itemSize;
- context.count++;
- }
- }
- }
- else {
- for (let j = 0; j < size; j++) {
- if (context.count > context.limit) {
- results.push('...');
- return results;
- }
- results.push(this._decode(context, dimension + 1));
- }
- }
- if (context.dimensions.length == 0) {
- return results[0];
- }
- return results;
- }
- static _stringify(value, indentation, indent) {
- if (Array.isArray(value)) {
- const result = [];
- result.push(indentation + '[');
- const items = value.map((item) => npz.Tensor._stringify(item, indentation + indent, indent));
- if (items.length > 0) {
- result.push(items.join(',\n'));
- }
- result.push(indentation + ']');
- return result.join('\n');
- }
- if (typeof value == 'string') {
- return indentation + value;
- }
- if (value == Infinity) {
- return indentation + 'Infinity';
- }
- if (value == -Infinity) {
- return indentation + '-Infinity';
- }
- if (isNaN(value)) {
- return indentation + 'NaN';
- }
- return indentation + value.toString();
- }
- };
- npz.TensorType = class {
- constructor(dataType, shape) {
- this._dataType = dataType;
- this._shape = shape;
- }
- get dataType() {
- return this._dataType || '?';
- }
- get shape() {
- return this._shape;
- }
- toString() {
- return this.dataType + this._shape.toString();
- }
- };
- npz.TensorShape = class {
- constructor(dimensions) {
- this._dimensions = dimensions;
- }
- get dimensions() {
- return this._dimensions;
- }
- toString() {
- if (!this._dimensions || this._dimensions.length == 0) {
- return '';
- }
- return '[' + this._dimensions.join(',') + ']';
- }
- };
- npz.Error = class extends Error {
- constructor(message) {
- super(message);
- this.name = 'Error loading Chainer model.';
- }
- };
- if (typeof module !== 'undefined' && typeof module.exports === 'object') {
- module.exports.ModelFactory = npz.ModelFactory;
- }
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