tflite-helper
Version:
A Simple Library That Helps You Run TFLite Models in the Browser.
160 lines (159 loc) • 7.97 kB
JavaScript
;
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }
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) : adopt(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 });
exports.createModel = void 0;
var TypeIDToTypedArrayMap = {
1: Float32Array,
2: Int32Array,
3: Uint8Array,
7: Int16Array,
9: Int8Array,
11: Float64Array,
16: Uint32Array
};
var $emscipten_modules = {};
function loadModule(path) {
return __awaiter(this, void 0, void 0, function () {
var createTFLiteHelperSIMDModule, err_1, createTFLiteHelperModule;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
_a.trys.push([0, 3, , 6]);
return [4 /*yield*/, eval("import('" + path + "/tflite-helper-simd.js')")];
case 1:
createTFLiteHelperSIMDModule = (_a.sent()).default;
return [4 /*yield*/, createTFLiteHelperSIMDModule()];
case 2: return [2 /*return*/, _a.sent()];
case 3:
err_1 = _a.sent();
return [4 /*yield*/, eval("import('" + path + "/tflite-helper.js')")];
case 4:
createTFLiteHelperModule = (_a.sent()).default;
return [4 /*yield*/, createTFLiteHelperModule()];
case 5: return [2 /*return*/, _a.sent()];
case 6: return [2 /*return*/];
}
});
});
}
function getModule(path) {
return __awaiter(this, void 0, void 0, function () {
var _module;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
path = path.replace(/\/+$/, ''); // Remove trailing slash
if ($emscipten_modules[path] != null)
return [2 /*return*/, $emscipten_modules[path]];
return [4 /*yield*/, loadModule(path)];
case 1:
_module = _a.sent();
$emscipten_modules[path] = _module;
return [2 /*return*/, _module];
}
});
});
}
function getTensorDimensions(_module, model_offset, tensor_id) {
return new Array(_module._getTensorDimensionCount(model_offset, tensor_id))
.fill(0)
.map(function (_, i) { return _module._getTensorDimension(model_offset, tensor_id, i); });
}
function getTensor(_module, model_offset, tensor_id) {
var type = _module._getTensorType(model_offset, tensor_id);
var offset = _module._getTensorOffset(model_offset, tensor_id);
var dimensions = getTensorDimensions(_module, model_offset, tensor_id);
var size = dimensions.reduce(function (a, b) { return a * b; }, 1);
return {
id: tensor_id,
type: type,
offset: offset,
size: size,
dimensions: dimensions,
get data() {
// @ts-ignore (dumb typescript stuff)
return new TypeIDToTypedArrayMap[type](_module.HEAP8.buffer, offset, size);
}
};
}
function getInputTensors(_module, model_offset) {
return new Array(_module._getInputTensorCount(model_offset))
.fill(0)
.map(function (_, i) { return _module._getInputTensorId(model_offset, i); })
.map(function (tensor_id) { return getTensor(_module, model_offset, tensor_id); });
}
function getOutputTensors(_module, model_offset) {
return new Array(_module._getOutputTensorCount(model_offset))
.fill(0)
.map(function (_, i) { return _module._getOutputTensorId(model_offset, i); })
.map(function (tensor_id) { return getTensor(_module, model_offset, tensor_id); });
}
function createModel(model_path, module_path) {
return __awaiter(this, void 0, void 0, function () {
var _module, model_buffer_req, model_buffer, model_offset, model_buffer_offset;
return __generator(this, function (_a) {
switch (_a.label) {
case 0: return [4 /*yield*/, getModule(module_path)];
case 1:
_module = _a.sent();
return [4 /*yield*/, fetch(model_path)];
case 2:
model_buffer_req = _a.sent();
return [4 /*yield*/, model_buffer_req.arrayBuffer()];
case 3:
model_buffer = _a.sent();
model_offset = _module._allocateModel(model_buffer.byteLength);
model_buffer_offset = _module._getModelBufferOffset(model_offset);
_module.HEAPU8.set(new Uint8Array(model_buffer), model_buffer_offset);
if (_module._loadModel(model_offset) == -1) {
_module._freeModel(model_offset);
throw new Error('Model Failed To Load!');
}
return [2 /*return*/, {
inputs: getInputTensors(_module, model_offset),
outputs: getOutputTensors(_module, model_offset),
invoke: function () { return _module._invokeModel(model_offset); },
free: function () { return _module._freeModel(model_offset); },
_module: _module
}];
}
});
});
}
exports.createModel = createModel;
exports.default = createModel;