Files

35 lines
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JavaScript

/* eslint-env browser, mocha */
describe('core layer: Dropout', function () {
const assert = chai.assert
const styles = testGlobals.styles
const logTime = testGlobals.logTime
const stringifyCondensed = testGlobals.stringifyCondensed
const approxEquals = KerasJS.testUtils.approxEquals
const layers = KerasJS.layers
before(function () {
console.log('\n%ccore layer: Dropout', styles.h1)
})
it('[core.Dropout.0] should just pass through tensor during test time', function () {
const key = 'core.Dropout.0'
console.log(`\n%c[${key}] should pass through`, styles.h3)
let testLayer1 = new layers.Dense({ outputDim: 2 })
testLayer1.setWeights(TEST_DATA[key].weights.map(w => new KerasJS.Tensor(w.data, w.shape)))
let t = new KerasJS.Tensor(TEST_DATA[key].input.data, TEST_DATA[key].input.shape)
t = testLayer1.call(t)
console.log('%cin', styles.h4, stringifyCondensed(t.tensor))
let testLayer2 = new layers.Dropout({ p: 0.5 })
const startTime = performance.now()
t = testLayer2.call(t)
const endTime = performance.now()
console.log('%cout', styles.h4, stringifyCondensed(t.tensor))
logTime(startTime, endTime)
const dataExpected = new Float32Array(TEST_DATA[key].expected.data)
const shapeExpected = TEST_DATA[key].expected.shape
assert.deepEqual(t.tensor.shape, shapeExpected)
assert.isTrue(approxEquals(t.tensor, dataExpected))
})
})