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

2026-09-09 11:25:25 +08:00 · 2016-08-27 00:45:42 -04:00
parent 739b30dd92
commit b22cc1d295
14 changed files with 1185 additions and 1 deletions
@@ -0,0 +1,82 @@
+/* eslint-env browser, mocha */
+
+describe('convolutional layer: ZeroPadding2D', 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: ZeroPadding2D', styles.h1)
+  })
+
+  it(`[convolutional.ZeroPadding2D.0] padding 1,1 on 3x5x2 input, dimOrdering=tf`, function () {
+    const key = `convolutional.ZeroPadding2D.0`
+    console.log(`\n%c[${key}] padding 1,1 on 3x5x2 input, dimOrdering=tf`, styles.h3)
+    let testLayer = new layers.ZeroPadding2D([1, 1], { dimOrdering: 'tf' })
+    let t = new KerasJS.Tensor(TEST_DATA[key].input.data, TEST_DATA[key].input.shape)
+    console.log('%cin', styles.h4, stringifyCondensed(t.tensor))
+    const startTime = performance.now()
+    t = testLayer.call(t)
+    const endTime = performance.now()
+    console.log('%cout', styles.h4, stringifyCondensed(t.tensor))
+    logTime(startTime, endTime)
+    const dataExpected = new Float32Array(TEST_DATA[key].expected.data)
+    const shapeExpected = TEST_DATA[key].expected.shape
+    assert.deepEqual(t.tensor.shape, shapeExpected)
+    assert.isTrue(approxEquals(t.tensor, dataExpected))
+  })
+
+  it(`[convolutional.ZeroPadding2D.1] padding 1,1 on 3x5x2 input, dimOrdering=th`, function () {
+    const key = `convolutional.ZeroPadding2D.1`
+    console.log(`\n%c[${key}] padding 1,1 on 3x5x2 input, dimOrdering=th`, styles.h3)
+    let testLayer = new layers.ZeroPadding2D([1, 1], { dimOrdering: 'th' })
+    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.ZeroPadding2D.2] padding 3,2 on 2x6x4 input, dimOrdering=tf`, function () {
+    const key = `convolutional.ZeroPadding2D.2`
+    console.log(`\n%c[${key}] padding 3,2 on 2x6x4 input, dimOrdering=tf`, styles.h3)
+    let testLayer = new layers.ZeroPadding2D([3, 2], { dimOrdering: 'tf' })
+    let t = new KerasJS.Tensor(TEST_DATA[key].input.data, TEST_DATA[key].input.shape)
+    console.log('%cin', styles.h4, stringifyCondensed(t.tensor))
+    const startTime = performance.now()
+    t = testLayer.call(t)
+    const endTime = performance.now()
+    console.log('%cout', styles.h4, stringifyCondensed(t.tensor))
+    logTime(startTime, endTime)
+    const dataExpected = new Float32Array(TEST_DATA[key].expected.data)
+    const shapeExpected = TEST_DATA[key].expected.shape
+    assert.deepEqual(t.tensor.shape, shapeExpected)
+    assert.isTrue(approxEquals(t.tensor, dataExpected))
+  })
+
+  it(`[convolutional.ZeroPadding2D.3] padding 3,2 on 2x6x4 input, dimOrdering=th`, function () {
+    const key = `convolutional.ZeroPadding2D.3`
+    console.log(`\n%c[${key}] padding 3,2 on 2x6x4 input, dimOrdering=th`, styles.h3)
+    let testLayer = new layers.ZeroPadding2D([3, 2], { dimOrdering: 'th' })
+    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))
+  })
+})