@tensorflow/tfjs-core
Version:
Hardware-accelerated JavaScript library for machine intelligence
343 lines • 15.7 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
var tf = require("../index");
var jasmine_util_1 = require("../jasmine_util");
var test_util_1 = require("../test_util");
var io_utils_1 = require("./io_utils");
var local_storage_1 = require("./local_storage");
jasmine_util_1.describeWithFlags('LocalStorage', test_util_1.CPU_ENVS, function () {
var modelTopology1 = {
'class_name': 'Sequential',
'keras_version': '2.1.4',
'config': [{
'class_name': 'Dense',
'config': {
'kernel_initializer': {
'class_name': 'VarianceScaling',
'config': {
'distribution': 'uniform',
'scale': 1.0,
'seed': null,
'mode': 'fan_avg'
}
},
'name': 'dense',
'kernel_constraint': null,
'bias_regularizer': null,
'bias_constraint': null,
'dtype': 'float32',
'activation': 'linear',
'trainable': true,
'kernel_regularizer': null,
'bias_initializer': { 'class_name': 'Zeros', 'config': {} },
'units': 1,
'batch_input_shape': [null, 3],
'use_bias': true,
'activity_regularizer': null
}
}],
'backend': 'tensorflow'
};
var weightSpecs1 = [
{
name: 'dense/kernel',
shape: [3, 1],
dtype: 'float32',
},
{
name: 'dense/bias',
shape: [1],
dtype: 'float32',
}
];
var weightData1 = new ArrayBuffer(16);
var artifacts1 = {
modelTopology: modelTopology1,
weightSpecs: weightSpecs1,
weightData: weightData1,
};
function findOverflowingByteSize() {
var LS = window.localStorage;
var probeKey = "tfjs_test_probe_values_" + new Date().getTime() + "_" + Math.random();
var minKilobytes = 200;
var stepKilobytes = 200;
var maxKilobytes = 40000;
for (var kilobytes = minKilobytes; kilobytes < maxKilobytes; kilobytes += stepKilobytes) {
var bytes = kilobytes * 1024;
var data = new ArrayBuffer(bytes);
try {
var encoded = io_utils_1.arrayBufferToBase64String(data);
LS.setItem(probeKey, encoded);
}
catch (err) {
return bytes;
}
LS.removeItem(probeKey);
}
throw new Error("Unable to determined overflowing byte size up to " + maxKilobytes + " kB.");
}
beforeEach(function () {
local_storage_1.purgeLocalStorageArtifacts();
});
afterEach(function () {
local_storage_1.purgeLocalStorageArtifacts();
});
it('Save artifacts succeeds', function (done) {
var testStartDate = new Date();
var handler = tf.io.getSaveHandlers('localstorage://foo/FooModel')[0];
handler.save(artifacts1)
.then(function (saveResult) {
expect(saveResult.modelArtifactsInfo.dateSaved.getTime())
.toBeGreaterThanOrEqual(testStartDate.getTime());
expect(saveResult.modelArtifactsInfo.modelTopologyBytes)
.toEqual(JSON.stringify(modelTopology1).length);
expect(saveResult.modelArtifactsInfo.weightSpecsBytes)
.toEqual(JSON.stringify(weightSpecs1).length);
expect(saveResult.modelArtifactsInfo.weightDataBytes).toEqual(16);
var LS = window.localStorage;
var info = JSON.parse(LS.getItem('tensorflowjs_models/foo/FooModel/info'));
expect(Date.parse(info.dateSaved))
.toEqual(saveResult.modelArtifactsInfo.dateSaved.getTime());
expect(info.modelTopologyBytes)
.toEqual(saveResult.modelArtifactsInfo.modelTopologyBytes);
expect(info.weightSpecsBytes)
.toEqual(saveResult.modelArtifactsInfo.weightSpecsBytes);
expect(info.weightDataBytes)
.toEqual(saveResult.modelArtifactsInfo.weightDataBytes);
var topologyString = LS.getItem('tensorflowjs_models/foo/FooModel/model_topology');
expect(JSON.stringify(modelTopology1)).toEqual(topologyString);
var weightSpecsString = LS.getItem('tensorflowjs_models/foo/FooModel/weight_specs');
expect(JSON.stringify(weightSpecs1)).toEqual(weightSpecsString);
var weightDataBase64String = LS.getItem('tensorflowjs_models/foo/FooModel/weight_data');
expect(io_utils_1.base64StringToArrayBuffer(weightDataBase64String))
.toEqual(weightData1);
done();
})
.catch(function (err) {
console.error(err.stack);
});
});
it('Save-load round trip succeeds', function (done) {
var handler1 = tf.io.getSaveHandlers('localstorage://FooModel')[0];
handler1.save(artifacts1)
.then(function (saveResult) {
var handler2 = tf.io.getLoadHandlers('localstorage://FooModel')[0];
handler2.load()
.then(function (loaded) {
expect(loaded.modelTopology).toEqual(modelTopology1);
expect(loaded.weightSpecs).toEqual(weightSpecs1);
expect(loaded.weightData).toEqual(weightData1);
done();
})
.catch(function (err) {
console.error(err.stack);
});
})
.catch(function (err) {
console.error(err.stack);
});
});
it('Loading nonexistent model fails.', function (done) {
var handler = tf.io.getSaveHandlers('localstorage://NonexistentModel')[0];
handler.load()
.then(function (aritfacts) {
fail('Loading nonexistent model succeeded unexpectedly.');
})
.catch(function (err) {
expect(err.message)
.toEqual('In local storage, there is no model with name ' +
'\'NonexistentModel\'');
done();
});
});
it('Loading model with missing topology fails.', function (done) {
var handler1 = tf.io.getSaveHandlers('localstorage://FooModel')[0];
handler1.save(artifacts1)
.then(function (saveResult) {
window.localStorage.removeItem('tensorflowjs_models/FooModel/model_topology');
var handler2 = tf.io.getLoadHandlers('localstorage://FooModel')[0];
handler2.load()
.then(function (aritfacts) {
fail('Loading of model with missing topology succeeded ' +
'unexpectedly.');
})
.catch(function (err) {
expect(err.message)
.toEqual('In local storage, the topology of model ' +
'\'FooModel\' is missing.');
done();
});
})
.catch(function (err) {
console.error(err.stack);
});
});
it('Loading model with missing weight specs fails.', function (done) {
var handler1 = tf.io.getSaveHandlers('localstorage://FooModel')[0];
handler1.save(artifacts1)
.then(function (saveResult) {
window.localStorage.removeItem('tensorflowjs_models/FooModel/weight_specs');
var handler2 = tf.io.getLoadHandlers('localstorage://FooModel')[0];
handler2.load()
.then(function (aritfacts) {
fail('Loading of model with missing weight specs succeeded ' +
'unexpectedly.');
})
.catch(function (err) {
expect(err.message)
.toEqual('In local storage, the weight specs of model ' +
'\'FooModel\' are missing.');
done();
});
})
.catch(function (err) {
console.error(err.stack);
});
});
it('Loading model with missing weight data fails.', function (done) {
var handler1 = tf.io.getSaveHandlers('localstorage://FooModel')[0];
handler1.save(artifacts1)
.then(function (saveResult) {
window.localStorage.removeItem('tensorflowjs_models/FooModel/weight_data');
var handler2 = tf.io.getLoadHandlers('localstorage://FooModel')[0];
handler2.load()
.then(function (aritfacts) {
fail('Loading of model with missing weight data succeeded ' +
'unexpectedly.');
})
.catch(function (err) {
expect(err.message)
.toEqual('In local storage, the binary weight values of model ' +
'\'FooModel\' are missing.');
done();
});
})
.catch(function (err) {
console.error(err.stack);
});
});
it('Data size too large leads to error thrown', function (done) {
var overflowByteSize = findOverflowingByteSize();
var overflowArtifacts = {
modelTopology: modelTopology1,
weightSpecs: weightSpecs1,
weightData: new ArrayBuffer(overflowByteSize),
};
var handler1 = tf.io.getSaveHandlers('localstorage://FooModel')[0];
handler1.save(overflowArtifacts)
.then(function (saveResult) {
fail('Saving of model of overflowing-size weight data succeeded ' +
'unexpectedly.');
})
.catch(function (err) {
expect(err.message
.indexOf('Failed to save model \'FooModel\' to local storage'))
.toEqual(0);
done();
});
});
it('Null, undefined or empty modelPath throws Error', function () {
expect(function () { return local_storage_1.browserLocalStorage(null); })
.toThrowError(/local storage, modelPath must not be null, undefined or empty/);
expect(function () { return local_storage_1.browserLocalStorage(undefined); })
.toThrowError(/local storage, modelPath must not be null, undefined or empty/);
expect(function () { return local_storage_1.browserLocalStorage(''); })
.toThrowError(/local storage, modelPath must not be null, undefined or empty./);
});
it('router', function () {
expect(local_storage_1.localStorageRouter('localstorage://bar') instanceof local_storage_1.BrowserLocalStorage)
.toEqual(true);
expect(local_storage_1.localStorageRouter('indexeddb://bar')).toBeNull();
expect(local_storage_1.localStorageRouter('qux')).toBeNull();
});
it('Manager: List models: 0 result', function (done) {
new local_storage_1.BrowserLocalStorageManager()
.listModels()
.then(function (out) {
expect(out).toEqual({});
done();
})
.catch(function (err) { return done.fail(err.stack); });
});
it('Manager: List models: 1 result', function (done) {
var handler = tf.io.getSaveHandlers('localstorage://baz/QuxModel')[0];
handler.save(artifacts1)
.then(function (saveResult) {
new local_storage_1.BrowserLocalStorageManager()
.listModels()
.then(function (out) {
expect(Object.keys(out).length).toEqual(1);
expect(out['baz/QuxModel'].modelTopologyType)
.toEqual(saveResult.modelArtifactsInfo.modelTopologyType);
expect(out['baz/QuxModel'].modelTopologyBytes)
.toEqual(saveResult.modelArtifactsInfo.modelTopologyBytes);
expect(out['baz/QuxModel'].weightSpecsBytes)
.toEqual(saveResult.modelArtifactsInfo.weightSpecsBytes);
expect(out['baz/QuxModel'].weightDataBytes)
.toEqual(saveResult.modelArtifactsInfo.weightDataBytes);
done();
})
.catch(function (err) { return done.fail(err.stack); });
})
.catch(function (err) { return done.fail(err.stack); });
});
it('Manager: List models: 2 results', function (done) {
var handler1 = tf.io.getSaveHandlers('localstorage://QuxModel')[0];
handler1.save(artifacts1)
.then(function (saveResult1) {
var handler2 = tf.io.getSaveHandlers('localstorage://repeat/QuxModel')[0];
handler2.save(artifacts1)
.then(function (saveResult2) {
new local_storage_1.BrowserLocalStorageManager()
.listModels()
.then(function (out) {
expect(Object.keys(out).length).toEqual(2);
expect(out['QuxModel'].modelTopologyType)
.toEqual(saveResult1.modelArtifactsInfo.modelTopologyType);
expect(out['QuxModel'].modelTopologyBytes)
.toEqual(saveResult1.modelArtifactsInfo
.modelTopologyBytes);
expect(out['QuxModel'].weightSpecsBytes)
.toEqual(saveResult1.modelArtifactsInfo.weightSpecsBytes);
expect(out['QuxModel'].weightDataBytes)
.toEqual(saveResult1.modelArtifactsInfo.weightDataBytes);
expect(out['repeat/QuxModel'].modelTopologyType)
.toEqual(saveResult2.modelArtifactsInfo.modelTopologyType);
expect(out['repeat/QuxModel'].modelTopologyBytes)
.toEqual(saveResult2.modelArtifactsInfo
.modelTopologyBytes);
expect(out['repeat/QuxModel'].weightSpecsBytes)
.toEqual(saveResult2.modelArtifactsInfo.weightSpecsBytes);
expect(out['repeat/QuxModel'].weightDataBytes)
.toEqual(saveResult2.modelArtifactsInfo.weightDataBytes);
done();
})
.catch(function (err) { return done.fail(err.stack); });
})
.catch(function (err) { return done.fail(err.stack); });
})
.catch(function (err) { return done.fail(err.stack); });
});
it('Manager: Successful deleteModel', function (done) {
var handler1 = tf.io.getSaveHandlers('localstorage://QuxModel')[0];
handler1.save(artifacts1)
.then(function (saveResult1) {
var handler2 = tf.io.getSaveHandlers('localstorage://repeat/QuxModel')[0];
handler2.save(artifacts1)
.then(function (saveResult2) {
var manager = new local_storage_1.BrowserLocalStorageManager();
manager.removeModel('QuxModel')
.then(function (deletedInfo) {
manager.listModels().then(function (out) {
expect(Object.keys(out)).toEqual(['repeat/QuxModel']);
});
done();
})
.catch(function (err) { return done.fail(err.stack); });
})
.catch(function (err) { return done.fail(err.stack); });
})
.catch(function (err) { return done.fail(err.stack); });
});
});
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