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