@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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JavaScript
;
/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
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 PassthroughLoader = /** @class */ (function () {
function PassthroughLoader(modelArtifacts) {
this.modelArtifacts = modelArtifacts;
}
PassthroughLoader.prototype.load = function () {
return __awaiter(this, void 0, void 0, function () {
return __generator(this, function (_a) {
return [2 /*return*/, this.modelArtifacts];
});
});
};
return PassthroughLoader;
}());
var PassthroughSaver = /** @class */ (function () {
function PassthroughSaver(saveHandler) {
this.saveHandler = saveHandler;
}
PassthroughSaver.prototype.save = function (modelArtifacts) {
return __awaiter(this, void 0, void 0, function () {
return __generator(this, function (_a) {
return [2 /*return*/, this.saveHandler(modelArtifacts)];
});
});
};
return PassthroughSaver;
}());
/**
* Creates an IOHandler that loads model artifacts from memory.
*
* When used in conjunction with `tf.loadLayersModel`, an instance of
* `tf.LayersModel` (Keras-style) can be constructed from the loaded artifacts.
*
* ```js
* const model = await tf.loadLayersModel(tf.io.fromMemory(
* modelTopology, weightSpecs, weightData));
* ```
*
* @param modelArtifacts a object containing model topology (i.e., parsed from
* the JSON format).
* @param weightSpecs An array of `WeightsManifestEntry` objects describing the
* names, shapes, types, and quantization of the weight data.
* @param weightData A single `ArrayBuffer` containing the weight data,
* concatenated in the order described by the weightSpecs.
* @param trainingConfig Model training configuration. Optional.
*
* @returns A passthrough `IOHandler` that simply loads the provided data.
*/
function fromMemory(modelArtifacts, weightSpecs, weightData, trainingConfig) {
if (arguments.length === 1) {
var isModelArtifacts = modelArtifacts.modelTopology != null ||
modelArtifacts.weightSpecs != null;
if (isModelArtifacts) {
return new PassthroughLoader(modelArtifacts);
}
else {
// Legacy support: with only modelTopology.
// TODO(cais): Remove this deprecated API.
console.warn('Please call tf.io.fromMemory() with only one argument. ' +
'The argument should be of type ModelArtifacts. ' +
'The multi-argument signature of tf.io.fromMemory() has been ' +
'deprecated and will be removed in a future release.');
return new PassthroughLoader({ modelTopology: modelArtifacts });
}
}
else {
// Legacy support.
// TODO(cais): Remove this deprecated API.
console.warn('Please call tf.io.fromMemory() with only one argument. ' +
'The argument should be of type ModelArtifacts. ' +
'The multi-argument signature of tf.io.fromMemory() has been ' +
'deprecated and will be removed in a future release.');
return new PassthroughLoader({
modelTopology: modelArtifacts,
weightSpecs: weightSpecs,
weightData: weightData,
trainingConfig: trainingConfig
});
}
}
exports.fromMemory = fromMemory;
/**
* Creates an IOHandler that passes saved model artifacts to a callback.
*
* ```js
* function handleSave(artifacts) {
* // ... do something with the artifacts ...
* return {modelArtifactsInfo: {...}, ...};
* }
*
* const saveResult = model.save(tf.io.withSaveHandler(handleSave));
* ```
*
* @param saveHandler A function that accepts a `ModelArtifacts` and returns a
* `SaveResult`.
*/
function withSaveHandler(saveHandler) {
return new PassthroughSaver(saveHandler);
}
exports.withSaveHandler = withSaveHandler;
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