@tensorflow/tfjs-core
Version:
Hardware-accelerated JavaScript library for machine intelligence
234 lines • 10.2 kB
JavaScript
;
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
return new (P || (P = Promise))(function (resolve, reject) {
function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
step((generator = generator.apply(thisArg, _arguments || [])).next());
});
};
var __generator = (this && this.__generator) || function (thisArg, body) {
var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
function verb(n) { return function (v) { return step([n, v]); }; }
function step(op) {
if (f) throw new TypeError("Generator is already executing.");
while (_) try {
if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
if (y = 0, t) op = [op[0] & 2, t.value];
switch (op[0]) {
case 0: case 1: t = op; break;
case 4: _.label++; return { value: op[1], done: false };
case 5: _.label++; y = op[1]; op = [0]; continue;
case 7: op = _.ops.pop(); _.trys.pop(); continue;
default:
if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
if (t[2]) _.ops.pop();
_.trys.pop(); continue;
}
op = body.call(thisArg, _);
} catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
}
};
Object.defineProperty(exports, "__esModule", { value: true });
var tensor_ops_1 = require("../ops/tensor_ops");
var util_1 = require("../util");
var types_1 = require("./types");
function encodeWeights(tensors) {
return __awaiter(this, void 0, void 0, function () {
var specs, dataPromises, name_1, t, tensorValues;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
specs = [];
dataPromises = [];
for (name_1 in tensors) {
t = tensors[name_1];
if (t.dtype !== 'float32' && t.dtype !== 'int32' && t.dtype !== 'bool') {
throw new Error("Unsupported dtype in weight '" + name_1 + "': " + t.dtype);
}
specs.push({ name: name_1, shape: t.shape, dtype: t.dtype });
dataPromises.push(t.data());
}
return [4, Promise.all(dataPromises)];
case 1:
tensorValues = _a.sent();
return [2, { data: concatenateTypedArrays(tensorValues), specs: specs }];
}
});
});
}
exports.encodeWeights = encodeWeights;
function decodeWeights(buffer, specs) {
var out = {};
var offset = 0;
var _loop_1 = function (spec) {
var name_2 = spec.name;
var dtype = spec.dtype;
var shape = spec.shape;
var size = util_1.sizeFromShape(shape);
var typedArray = void 0;
if ('quantization' in spec) {
var quantization_1 = spec.quantization;
if (quantization_1.dtype !== 'uint8' && quantization_1.dtype !== 'uint16') {
throw new Error("Weight " + spec.name + " has unknown " +
("quantization dtype " + quantization_1.dtype + ". ") +
"Supported quantization dtypes are: 'uint8' and 'uint16'.");
}
var quantizationSizeFactor = types_1.DTYPE_VALUE_SIZE_MAP[quantization_1.dtype];
var byteBuffer = buffer.slice(offset, offset + size * quantizationSizeFactor);
var quantizedArray = (quantization_1.dtype === 'uint8') ?
new Uint8Array(byteBuffer) :
new Uint16Array(byteBuffer);
if (dtype === 'float32') {
typedArray = Float32Array.from(quantizedArray, function (v) { return v * quantization_1.scale + quantization_1.min; });
}
else if (dtype === 'int32') {
typedArray = Int32Array.from(quantizedArray, function (v) { return Math.round(v * quantization_1.scale + quantization_1.min); });
}
else {
throw new Error("Unsupported dtype in weight '" + name_2 + "': " + dtype);
}
offset += size * quantizationSizeFactor;
}
else {
var dtypeFactor = types_1.DTYPE_VALUE_SIZE_MAP[dtype];
var byteBuffer = buffer.slice(offset, offset + size * dtypeFactor);
if (dtype === 'float32') {
typedArray = new Float32Array(byteBuffer);
}
else if (dtype === 'int32') {
typedArray = new Int32Array(byteBuffer);
}
else if (dtype === 'bool') {
typedArray = new Uint8Array(byteBuffer);
}
else {
throw new Error("Unsupported dtype in weight '" + name_2 + "': " + dtype);
}
offset += size * dtypeFactor;
}
var value = void 0;
if (dtype === 'float32') {
value = tensor_ops_1.tensor(typedArray, shape, 'float32');
}
else if (dtype === 'int32') {
value = tensor_ops_1.tensor(typedArray, shape, 'int32');
}
else if (dtype === 'bool') {
value = tensor_ops_1.tensor(typedArray, shape, 'bool');
}
else {
throw new Error("Unsupported dtype in weight '" + name_2 + "': " + dtype);
}
out[name_2] = value;
};
for (var _i = 0, specs_1 = specs; _i < specs_1.length; _i++) {
var spec = specs_1[_i];
_loop_1(spec);
}
return out;
}
exports.decodeWeights = decodeWeights;
function concatenateTypedArrays(xs) {
if (xs === null) {
throw new Error("Invalid input value: " + JSON.stringify(xs));
}
var totalByteLength = 0;
var normalizedXs = [];
xs.forEach(function (x) {
totalByteLength += x.byteLength;
normalizedXs.push(x.byteLength === x.buffer.byteLength ? x :
new x.constructor(x));
if (!(x instanceof Float32Array || x instanceof Int32Array ||
x instanceof Uint8Array)) {
throw new Error("Unsupported TypedArray subtype: " + x.constructor.name);
}
});
var y = new Uint8Array(totalByteLength);
var offset = 0;
normalizedXs.forEach(function (x) {
y.set(new Uint8Array(x.buffer), offset);
offset += x.byteLength;
});
return y.buffer;
}
exports.concatenateTypedArrays = concatenateTypedArrays;
var useNodeBuffer = typeof Buffer !== 'undefined' &&
(typeof Blob === 'undefined' || typeof atob === 'undefined' ||
typeof btoa === 'undefined');
function stringByteLength(str) {
if (useNodeBuffer) {
return Buffer.byteLength(str);
}
return new Blob([str]).size;
}
exports.stringByteLength = stringByteLength;
function arrayBufferToBase64String(buffer) {
if (useNodeBuffer) {
return Buffer.from(buffer).toString('base64');
}
return btoa(String.fromCharCode.apply(null, new Uint8Array(buffer)));
}
exports.arrayBufferToBase64String = arrayBufferToBase64String;
function base64StringToArrayBuffer(str) {
if (useNodeBuffer) {
var buf = Buffer.from(str, 'base64');
return buf.buffer.slice(buf.byteOffset, buf.byteOffset + buf.byteLength);
}
var s = atob(str);
var buffer = new Uint8Array(s.length);
for (var i = 0; i < s.length; ++i) {
buffer.set([s.charCodeAt(i)], i);
}
return buffer.buffer;
}
exports.base64StringToArrayBuffer = base64StringToArrayBuffer;
function concatenateArrayBuffers(buffers) {
var totalByteLength = 0;
buffers.forEach(function (buffer) {
totalByteLength += buffer.byteLength;
});
var temp = new Uint8Array(totalByteLength);
var offset = 0;
buffers.forEach(function (buffer) {
temp.set(new Uint8Array(buffer), offset);
offset += buffer.byteLength;
});
return temp.buffer;
}
exports.concatenateArrayBuffers = concatenateArrayBuffers;
function basename(path) {
var SEPARATOR = '/';
path = path.trim();
while (path.endsWith(SEPARATOR)) {
path = path.slice(0, path.length - 1);
}
var items = path.split(SEPARATOR);
return items[items.length - 1];
}
exports.basename = basename;
function getModelArtifactsInfoForJSON(modelArtifacts) {
if (modelArtifacts.modelTopology instanceof ArrayBuffer) {
throw new Error('Expected JSON model topology, received ArrayBuffer.');
}
return {
dateSaved: new Date(),
modelTopologyType: 'JSON',
modelTopologyBytes: modelArtifacts.modelTopology == null ?
0 :
stringByteLength(JSON.stringify(modelArtifacts.modelTopology)),
weightSpecsBytes: modelArtifacts.weightSpecs == null ?
0 :
stringByteLength(JSON.stringify(modelArtifacts.weightSpecs)),
weightDataBytes: modelArtifacts.weightData == null ?
0 :
modelArtifacts.weightData.byteLength,
};
}
exports.getModelArtifactsInfoForJSON = getModelArtifactsInfoForJSON;
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