add ZeroPadding1D/2D/3D layers, with tests

test/convolutional/ZeroPadding1D.js

@@ -0,0 +1,48 @@
+/* eslint-env browser, mocha */
+
+describe('convolutional layer: ZeroPadding1D', 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%cconvolutional layer: ZeroPadding1D', styles.h1)
+  })
+
+  it(`[convolutional.ZeroPadding1D.0] padding 1 on 3x5 input`, function () {
+    const key = `convolutional.ZeroPadding1D.0`
+    console.log(`\n%c[${key}] padding 1 on 3x5 input`, styles.h3)
+    let testLayer = new layers.ZeroPadding1D(1)
+    let t = new KerasJS.Tensor(TEST_DATA[key].input.data, TEST_DATA[key].input.shape)
+    console.log('%cin', styles.h4, stringifyCondensed(t.tensor))
+    const startTime = performance.now()
+    t = testLayer.call(t)
+    const endTime = performance.now()
+    console.log('%cout', styles.h4, stringifyCondensed(t.tensor))
+    logTime(startTime, endTime)
+    const dataExpected = new Float32Array(TEST_DATA[key].expected.data)
+    const shapeExpected = TEST_DATA[key].expected.shape
+    assert.deepEqual(t.tensor.shape, shapeExpected)
+    assert.isTrue(approxEquals(t.tensor, dataExpected))
+  })
+
+  it(`[convolutional.ZeroPadding1D.1] padding 3 on 4x4 input`, function () {
+    const key = `convolutional.ZeroPadding1D.1`
+    console.log(`\n%c[${key}] padding 3 on 4x4 input`, styles.h3)
+    let testLayer = new layers.ZeroPadding1D(3)
+    let t = new KerasJS.Tensor(TEST_DATA[key].input.data, TEST_DATA[key].input.shape)
+    console.log('%cin', styles.h4, stringifyCondensed(t.tensor))
+    const startTime = performance.now()
+    t = testLayer.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))
+  })
+})