@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
509 lines • 21.5 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 browser_http_1 = require("./browser_http");
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'
};
jasmine_util_1.describeWithFlags('browserHTTPRequest-save', test_util_1.CPU_ENVS, function () {
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,
};
var requestInits = [];
beforeEach(function () {
requestInits = [];
spyOn(window, 'fetch').and.callFake(function (path, init) {
if (path === 'model-upload-test' || path === 'http://model-upload-test') {
requestInits.push(init);
return new Response(null, { status: 200 });
}
else {
return new Response(null, { status: 404 });
}
});
});
it('Save topology and weights, default POST method', function (done) {
var testStartDate = new Date();
var handler = tf.io.getSaveHandlers('http://model-upload-test')[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(weightData1.byteLength);
expect(requestInits.length).toEqual(1);
var init = requestInits[0];
expect(init.method).toEqual('POST');
var body = init.body;
var jsonFile = body.get('model.json');
var jsonFileReader = new FileReader();
jsonFileReader.onload = function (event) {
var modelJSON = JSON.parse(event.target.result);
expect(modelJSON.modelTopology).toEqual(modelTopology1);
expect(modelJSON.weightsManifest.length).toEqual(1);
expect(modelJSON.weightsManifest[0].weights).toEqual(weightSpecs1);
var weightsFile = body.get('model.weights.bin');
var weightsFileReader = new FileReader();
weightsFileReader.onload = function (event) {
var weightData = event.target.result;
expect(new Uint8Array(weightData))
.toEqual(new Uint8Array(weightData1));
done();
};
weightsFileReader.onerror = function (error) {
done.fail(error.message);
};
weightsFileReader.readAsArrayBuffer(weightsFile);
};
jsonFileReader.onerror = function (error) {
done.fail(error.message);
};
jsonFileReader.readAsText(jsonFile);
})
.catch(function (err) {
done.fail(err.stack);
});
});
it('Save topology only, default POST method', function (done) {
var testStartDate = new Date();
var handler = tf.io.getSaveHandlers('http://model-upload-test')[0];
var topologyOnlyArtifacts = { modelTopology: modelTopology1 };
handler.save(topologyOnlyArtifacts)
.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(0);
expect(saveResult.modelArtifactsInfo.weightDataBytes).toEqual(0);
expect(requestInits.length).toEqual(1);
var init = requestInits[0];
expect(init.method).toEqual('POST');
var body = init.body;
var jsonFile = body.get('model.json');
var jsonFileReader = new FileReader();
jsonFileReader.onload = function (event) {
var modelJSON = JSON.parse(event.target.result);
expect(modelJSON.modelTopology).toEqual(modelTopology1);
expect(body.get('model.weights.bin')).toEqual(null);
done();
};
jsonFileReader.onerror = function (error) {
done.fail(error.message);
};
jsonFileReader.readAsText(jsonFile);
})
.catch(function (err) {
done.fail(err.stack);
});
});
it('Save topology and weights, PUT method, extra headers', function (done) {
var testStartDate = new Date();
var handler = tf.io.browserHTTPRequest('model-upload-test', {
method: 'PUT',
headers: {
'header_key_1': 'header_value_1',
'header_key_2': 'header_value_2'
}
});
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(weightData1.byteLength);
expect(requestInits.length).toEqual(1);
var init = requestInits[0];
expect(init.method).toEqual('PUT');
expect(init.headers).toEqual({
'header_key_1': 'header_value_1',
'header_key_2': 'header_value_2'
});
var body = init.body;
var jsonFile = body.get('model.json');
var jsonFileReader = new FileReader();
jsonFileReader.onload = function (event) {
var modelJSON = JSON.parse(event.target.result);
expect(modelJSON.modelTopology).toEqual(modelTopology1);
expect(modelJSON.weightsManifest.length).toEqual(1);
expect(modelJSON.weightsManifest[0].weights).toEqual(weightSpecs1);
var weightsFile = body.get('model.weights.bin');
var weightsFileReader = new FileReader();
weightsFileReader.onload = function (event) {
var weightData = event.target.result;
expect(new Uint8Array(weightData))
.toEqual(new Uint8Array(weightData1));
done();
};
weightsFileReader.onerror = function (error) {
done.fail(error.message);
};
weightsFileReader.readAsArrayBuffer(weightsFile);
};
jsonFileReader.onerror = function (error) {
done.fail(error.message);
};
jsonFileReader.readAsText(jsonFile);
})
.catch(function (err) {
done.fail(err.stack);
});
});
it('404 response causes Error', function (done) {
var handler = tf.io.getSaveHandlers('http://invalid/path')[0];
handler.save(artifacts1)
.then(function (saveResult) {
done.fail('Calling browserHTTPRequest at invalid URL succeeded ' +
'unexpectedly');
})
.catch(function (err) {
done();
});
});
it('Existing body leads to Error', function () {
var key1Data = '1337';
var key2Data = '42';
var extraFormData = new FormData();
extraFormData.set('key1', key1Data);
extraFormData.set('key2', key2Data);
expect(function () { return tf.io.browserHTTPRequest('model-upload-test', {
body: extraFormData
}); }).toThrowError(/requestInit is expected to have no pre-existing body/);
});
it('Empty, null or undefined URL paths lead to Error', function () {
expect(function () { return tf.io.browserHTTPRequest(null); })
.toThrowError(/must not be null, undefined or empty/);
expect(function () { return tf.io.browserHTTPRequest(undefined); })
.toThrowError(/must not be null, undefined or empty/);
expect(function () { return tf.io.browserHTTPRequest(''); })
.toThrowError(/must not be null, undefined or empty/);
});
it('router', function () {
expect(browser_http_1.httpRequestRouter('http://bar/foo') instanceof browser_http_1.BrowserHTTPRequest)
.toEqual(true);
expect(browser_http_1.httpRequestRouter('https://localhost:5000/upload') instanceof
browser_http_1.BrowserHTTPRequest)
.toEqual(true);
expect(browser_http_1.httpRequestRouter('localhost://foo')).toBeNull();
expect(browser_http_1.httpRequestRouter('foo:5000/bar')).toBeNull();
});
});
jasmine_util_1.describeWithFlags('browserHTTPRequest-load', test_util_1.CPU_ENVS, function () {
var requestInits;
var setupFakeWeightFiles = function (fileBufferMap) {
spyOn(window, 'fetch').and.callFake(function (path, init) {
requestInits.push(init);
return new Response(fileBufferMap[path]);
});
};
beforeEach(function () {
requestInits = [];
});
it('1 group, 2 weights, 1 path', function (done) {
var weightManifest1 = [{
paths: ['weightfile0'],
weights: [
{
name: 'dense/kernel',
shape: [3, 1],
dtype: 'float32',
},
{
name: 'dense/bias',
shape: [2],
dtype: 'float32',
}
]
}];
var floatData = new Float32Array([1, 3, 3, 7, 4]);
setupFakeWeightFiles({
'./model.json': JSON.stringify({ modelTopology: modelTopology1, weightsManifest: weightManifest1 }),
'./weightfile0': floatData,
});
var handler = tf.io.browserHTTPRequest('./model.json');
handler.load()
.then(function (modelArtifacts) {
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
expect(modelArtifacts.weightSpecs)
.toEqual(weightManifest1[0].weights);
expect(new Float32Array(modelArtifacts.weightData))
.toEqual(floatData);
expect(requestInits).toEqual([{}, {}]);
done();
})
.catch(function (err) { return done.fail(err.stack); });
});
it('1 group, 2 weights, 1 path, with requestInit', function (done) {
var weightManifest1 = [{
paths: ['weightfile0'],
weights: [
{
name: 'dense/kernel',
shape: [3, 1],
dtype: 'float32',
},
{
name: 'dense/bias',
shape: [2],
dtype: 'float32',
}
]
}];
var floatData = new Float32Array([1, 3, 3, 7, 4]);
setupFakeWeightFiles({
'./model.json': JSON.stringify({ modelTopology: modelTopology1, weightsManifest: weightManifest1 }),
'./weightfile0': floatData,
});
var handler = tf.io.browserHTTPRequest('./model.json', { headers: { 'header_key_1': 'header_value_1' } });
handler.load()
.then(function (modelArtifacts) {
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
expect(modelArtifacts.weightSpecs)
.toEqual(weightManifest1[0].weights);
expect(new Float32Array(modelArtifacts.weightData))
.toEqual(floatData);
expect(requestInits).toEqual([
{ headers: { 'header_key_1': 'header_value_1' } },
{ headers: { 'header_key_1': 'header_value_1' } }
]);
done();
})
.catch(function (err) { return done.fail(err.stack); });
});
it('1 group, 2 weight, 2 paths', function (done) {
var weightManifest1 = [{
paths: ['weightfile0', 'weightfile1'],
weights: [
{
name: 'dense/kernel',
shape: [3, 1],
dtype: 'float32',
},
{
name: 'dense/bias',
shape: [2],
dtype: 'float32',
}
]
}];
var floatData1 = new Float32Array([1, 3, 3]);
var floatData2 = new Float32Array([7, 4]);
setupFakeWeightFiles({
'./model.json': JSON.stringify({ modelTopology: modelTopology1, weightsManifest: weightManifest1 }),
'./weightfile0': floatData1,
'./weightfile1': floatData2,
});
var handler = tf.io.browserHTTPRequest('./model.json');
handler.load()
.then(function (modelArtifacts) {
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
expect(modelArtifacts.weightSpecs)
.toEqual(weightManifest1[0].weights);
expect(new Float32Array(modelArtifacts.weightData))
.toEqual(new Float32Array([1, 3, 3, 7, 4]));
done();
})
.catch(function (err) { return done.fail(err.stack); });
});
it('2 groups, 2 weight, 2 paths', function (done) {
var weightsManifest = [
{
paths: ['weightfile0'],
weights: [{
name: 'dense/kernel',
shape: [3, 1],
dtype: 'float32',
}]
},
{
paths: ['weightfile1'],
weights: [{
name: 'dense/bias',
shape: [2],
dtype: 'float32',
}],
}
];
var floatData1 = new Float32Array([1, 3, 3]);
var floatData2 = new Float32Array([7, 4]);
setupFakeWeightFiles({
'./model.json': JSON.stringify({ modelTopology: modelTopology1, weightsManifest: weightsManifest }),
'./weightfile0': floatData1,
'./weightfile1': floatData2,
});
var handler = tf.io.browserHTTPRequest('./model.json');
handler.load()
.then(function (modelArtifacts) {
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
expect(modelArtifacts.weightSpecs)
.toEqual(weightsManifest[0].weights.concat(weightsManifest[1].weights));
expect(new Float32Array(modelArtifacts.weightData))
.toEqual(new Float32Array([1, 3, 3, 7, 4]));
done();
})
.catch(function (err) { return done.fail(err.stack); });
});
it('2 groups, 2 weight, 2 paths, Int32 and Uint8 Data', function (done) {
var weightsManifest = [
{
paths: ['weightfile0'],
weights: [{
name: 'fooWeight',
shape: [3, 1],
dtype: 'int32',
}]
},
{
paths: ['weightfile1'],
weights: [{
name: 'barWeight',
shape: [2],
dtype: 'bool',
}],
}
];
var floatData1 = new Int32Array([1, 3, 3]);
var floatData2 = new Uint8Array([7, 4]);
setupFakeWeightFiles({
'path1/model.json': JSON.stringify({ modelTopology: modelTopology1, weightsManifest: weightsManifest }),
'path1/weightfile0': floatData1,
'path1/weightfile1': floatData2,
});
var handler = tf.io.browserHTTPRequest('path1/model.json');
handler.load()
.then(function (modelArtifacts) {
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
expect(modelArtifacts.weightSpecs)
.toEqual(weightsManifest[0].weights.concat(weightsManifest[1].weights));
expect(new Int32Array(modelArtifacts.weightData.slice(0, 12)))
.toEqual(new Int32Array([1, 3, 3]));
expect(new Uint8Array(modelArtifacts.weightData.slice(12, 14)))
.toEqual(new Uint8Array([7, 4]));
done();
})
.catch(function (err) { return done.fail(err.stack); });
});
it('topology only', function (done) {
setupFakeWeightFiles({
'./model.json': JSON.stringify({ modelTopology: modelTopology1 }),
});
var handler = tf.io.browserHTTPRequest('./model.json');
handler.load()
.then(function (modelArtifacts) {
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
expect(modelArtifacts.weightSpecs).toBeUndefined();
expect(modelArtifacts.weightData).toBeUndefined();
done();
})
.catch(function (err) { return done.fail(err.stack); });
});
it('weights only', function (done) {
var weightsManifest = [
{
paths: ['weightfile0'],
weights: [{
name: 'fooWeight',
shape: [3, 1],
dtype: 'int32',
}]
},
{
paths: ['weightfile1'],
weights: [{
name: 'barWeight',
shape: [2],
dtype: 'float32',
}],
}
];
var floatData1 = new Int32Array([1, 3, 3]);
var floatData2 = new Float32Array([-7, -4]);
setupFakeWeightFiles({
'path1/model.json': JSON.stringify({ weightsManifest: weightsManifest }),
'path1/weightfile0': floatData1,
'path1/weightfile1': floatData2,
});
var handler = tf.io.browserHTTPRequest('path1/model.json');
handler.load()
.then(function (modelArtifacts) {
expect(modelArtifacts.modelTopology).toBeUndefined();
expect(modelArtifacts.weightSpecs)
.toEqual(weightsManifest[0].weights.concat(weightsManifest[1].weights));
expect(new Int32Array(modelArtifacts.weightData.slice(0, 12)))
.toEqual(new Int32Array([1, 3, 3]));
expect(new Float32Array(modelArtifacts.weightData.slice(12, 20)))
.toEqual(new Float32Array([-7, -4]));
done();
})
.catch(function (err) { return done.fail(err.stack); });
});
it('Missing modelTopology and weightsManifest leads to error', function (done) {
setupFakeWeightFiles({ 'path1/model.json': JSON.stringify({}) });
var handler = tf.io.browserHTTPRequest('path1/model.json');
handler.load()
.then(function (modelTopology1) {
done.fail('Loading from missing modelTopology and weightsManifest ' +
'succeeded expectedly.');
})
.catch(function (err) {
expect(err.message)
.toMatch(/contains neither model topology or manifest/);
done();
});
});
});
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