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chore: import upstream snapshot with attribution
2026-07-13 12:37:45 +08:00

210 lines
6.1 KiB
JavaScript

// 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;