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51 lines
2.3 KiB
JavaScript
51 lines
2.3 KiB
JavaScript
/* eslint-env browser, mocha */
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describe('core layer: MaxoutDense', function () {
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const assert = chai.assert
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const styles = testGlobals.styles
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const logTime = testGlobals.logTime
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const stringifyCondensed = testGlobals.stringifyCondensed
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const approxEquals = KerasJS.testUtils.approxEquals
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const layers = KerasJS.layers
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before(function () {
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console.log('\n%ccore layer: MaxoutDense', styles.h1)
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})
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it('[core.MaxoutDense.0] should produce expected values, nbFeature=4, bias=true', function () {
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const key = 'core.MaxoutDense.0'
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console.log(`\n%c[${key}] nbFeature=4, bias=true`, styles.h3)
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let testLayer = new layers.MaxoutDense({ outputDim: 3 })
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testLayer.setWeights(TEST_DATA[key].weights.map(w => new KerasJS.Tensor(w.data, w.shape)))
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let t = new KerasJS.Tensor(TEST_DATA[key].input.data, TEST_DATA[key].input.shape)
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console.log('%cin', styles.h4, stringifyCondensed(t.tensor))
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const startTime = performance.now()
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t = testLayer.call(t)
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const endTime = performance.now()
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console.log('%cout', styles.h4, stringifyCondensed(t.tensor))
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logTime(startTime, endTime)
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const dataExpected = new Float32Array(TEST_DATA[key].expected.data)
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const shapeExpected = TEST_DATA[key].expected.shape
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assert.deepEqual(t.tensor.shape, shapeExpected)
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assert.isTrue(approxEquals(t.tensor, dataExpected))
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})
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it('[core.MaxoutDense.1] should produce expected values, nbFeature=7, bias=false', function () {
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const key = 'core.MaxoutDense.1'
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console.log(`\n%c[${key}] nbFeature=7, bias=false`, styles.h3)
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let testLayer = new layers.MaxoutDense({ outputDim: 3, bias: false })
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testLayer.setWeights(TEST_DATA[key].weights.map(w => new KerasJS.Tensor(w.data, w.shape)))
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let t = new KerasJS.Tensor(TEST_DATA[key].input.data, TEST_DATA[key].input.shape)
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console.log('%cin', styles.h4, stringifyCondensed(t.tensor))
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const startTime = performance.now()
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t = testLayer.call(t)
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const endTime = performance.now()
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console.log('%cout', styles.h4, stringifyCondensed(t.tensor))
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logTime(startTime, endTime)
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const dataExpected = new Float32Array(TEST_DATA[key].expected.data)
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const shapeExpected = TEST_DATA[key].expected.shape
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assert.deepEqual(t.tensor.shape, shapeExpected)
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assert.isTrue(approxEquals(t.tensor, dataExpected))
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})
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})
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