@tensorflow/tfjs-core
Version:
Hardware-accelerated JavaScript library for machine intelligence
53 lines • 2.48 kB
JavaScript
;
var __extends = (this && this.__extends) || (function () {
var extendStatics = Object.setPrototypeOf ||
({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||
function (d, b) { for (var p in b) if (b.hasOwnProperty(p)) d[p] = b[p]; };
return function (d, b) {
extendStatics(d, b);
function __() { this.constructor = d; }
d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());
};
})();
var __decorate = (this && this.__decorate) || function (decorators, target, key, desc) {
var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d;
if (typeof Reflect === "object" && typeof Reflect.decorate === "function") r = Reflect.decorate(decorators, target, key, desc);
else for (var i = decorators.length - 1; i >= 0; i--) if (d = decorators[i]) r = (c < 3 ? d(r) : c > 3 ? d(target, key, r) : d(target, key)) || r;
return c > 3 && r && Object.defineProperty(target, key, r), r;
};
Object.defineProperty(exports, "__esModule", { value: true });
var doc_1 = require("../doc");
var globals_1 = require("../globals");
var serialization_1 = require("../serialization");
var Optimizer = (function (_super) {
__extends(Optimizer, _super);
function Optimizer() {
return _super !== null && _super.apply(this, arguments) || this;
}
Optimizer.prototype.minimize = function (f, returnCost, varList) {
if (returnCost === void 0) { returnCost = false; }
var _a = this.computeGradients(f, varList), value = _a.value, grads = _a.grads;
this.applyGradients(grads);
var varNames = Object.keys(grads);
varNames.forEach(function (varName) { return grads[varName].dispose(); });
if (returnCost) {
return value;
}
else {
value.dispose();
return null;
}
};
Optimizer.prototype.computeGradients = function (f, varList) {
return globals_1.variableGrads(f, varList);
};
__decorate([
doc_1.doc({ heading: 'Training', subheading: 'Optimizers' })
], Optimizer.prototype, "minimize", null);
Optimizer = __decorate([
doc_1.doc({ heading: 'Training', subheading: 'Classes', namespace: 'train' })
], Optimizer);
return Optimizer;
}(serialization_1.Serializable));
exports.Optimizer = Optimizer;
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