| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209 |
- // Experimental
- import * as python from './python.js';
- const flax = {};
- flax.ModelFactory = class {
- async match(context) {
- const stream = context.stream;
- if (stream.length > 4) {
- const buffer = stream.peek(1);
- if (buffer[0] === 0xDE || buffer[0] === 0xDF || ((buffer[0] & 0x80) === 0x80)) {
- return context.set('flax.msgpack.map');
- }
- }
- return null;
- }
- async open(context) {
- const stream = context.stream;
- const packed = stream.peek();
- const execution = new python.Execution();
- const msgpack = execution.__import__('msgpack');
- const numpy = execution.__import__('numpy');
- // https://github.com/google/flax/blob/main/flax/serialization.py
- const ext_hook = (code, data) => {
- switch (code) {
- case 1: { // _MsgpackExtType.ndarray
- const tuple = msgpack.unpackb(data);
- const dtype = new numpy.dtype(tuple[1]);
- dtype.byteorder = '<';
- return new numpy.ndarray(tuple[0], dtype, tuple[2]);
- }
- default: {
- throw new flax.Error(`Unsupported MessagePack extension '${code}'.`);
- }
- }
- };
- const obj = msgpack.unpackb(packed, ext_hook);
- return new flax.Model(obj);
- }
- };
- flax.Model = class {
- constructor(obj) {
- this.format = 'Flax';
- this.modules = [new flax.Graph(obj)];
- }
- };
- flax.Graph = class {
- constructor(obj) {
- this.inputs = [];
- this.outputs = [];
- const layers = new Map();
- const layer = (path) => {
- const name = path.join('.');
- if (!layers.has(name)) {
- layers.set(name, {});
- }
- return layers.get(name);
- };
- const flatten = (path, obj) => {
- for (const [name, value] of Object.entries(obj)) {
- if (flax.Utility.isTensor(value)) {
- const obj = layer(path);
- obj[name] = value;
- } else if (Array.isArray(value)) {
- const obj = layer(path);
- obj[name] = value;
- } else if (Object(value) === value) {
- flatten(path.concat(name), value);
- } else {
- const obj = layer(path);
- obj[name] = value;
- }
- }
- };
- if (Array.isArray(obj)) {
- layer([]).value = obj;
- } else {
- flatten([], obj);
- }
- this.nodes = Array.from(layers).map(([name, value]) => new flax.Node(name, value));
- }
- };
- flax.Argument = class {
- constructor(name, value) {
- this.name = name;
- this.value = value;
- }
- };
- flax.Value = class {
- constructor(name, initializer = null) {
- if (typeof name !== 'string') {
- throw new flax.Error(`Invalid value identifier '${JSON.stringify(name)}'.`);
- }
- this.name = name;
- this.type = initializer ? initializer.type : null;
- this.initializer = initializer;
- }
- };
- flax.Node = class {
- constructor(name, layer) {
- this.name = name;
- this.type = { name: 'Module' };
- this.attributes = [];
- this.inputs = [];
- this.outputs = [];
- for (const [name, value] of Object.entries(layer)) {
- if (flax.Utility.isTensor(value)) {
- const tensor = new flax.Tensor(value);
- const argument = new flax.Argument(name, [new flax.Value('', tensor)]);
- this.inputs.push(argument);
- } else if (Array.isArray(value)) {
- const attribute = new flax.Argument(name, value);
- this.attributes.push(attribute);
- } else {
- const attribute = new flax.Argument(name, value);
- this.attributes.push(attribute);
- }
- }
- }
- };
- flax.TensorType = class {
- constructor(dataType, shape) {
- this.dataType = dataType || '?';
- this.shape = shape;
- }
- toString() {
- return this.dataType + this.shape.toString();
- }
- };
- flax.TensorShape = class {
- constructor(dimensions) {
- this.dimensions = dimensions;
- }
- toString() {
- return (Array.isArray(this.dimensions) && this.dimensions.length > 0) ?
- `[${this.dimensions.join(',')}]` : '';
- }
- };
- flax.Tensor = class {
- constructor(array) {
- this.type = new flax.TensorType(array.dtype.__name__, new flax.TensorShape(array.shape));
- const dataType = this.type.dataType;
- this.encoding = dataType === 'string' || dataType === 'object' ? '|' : array.dtype.byteorder;
- this._data = array.tobytes();
- this._itemsize = array.dtype.itemsize;
- }
- get values() {
- switch (this.type.dataType) {
- case 'string': {
- if (this._data instanceof Uint8Array) {
- const data = this._data;
- const decoder = new TextDecoder('utf-8');
- const size = this.type.shape.dimensions.reduce((a, b) => a * b, 1);
- this._data = new Array(size);
- let offset = 0;
- for (let i = 0; i < size; i++) {
- const buffer = data.subarray(offset, offset + this._itemsize);
- const index = buffer.indexOf(0);
- this._data[i] = decoder.decode(index >= 0 ? buffer.subarray(0, index) : buffer);
- offset += this._itemsize;
- }
- }
- return this._data;
- }
- default:
- return this._data;
- }
- }
- };
- flax.Utility = class {
- static isTensor(obj) {
- return obj && obj.__class__ && obj.__class__.__module__ === 'numpy' && obj.__class__.__name__ === 'ndarray';
- }
- };
- flax.Error = class extends Error {
- constructor(message) {
- super(message);
- this.name = 'Error loading Flax model.';
- }
- };
- export const ModelFactory = flax.ModelFactory;
|