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1/**
2 * @license
3 * Copyright 2017 Google LLC. All Rights Reserved.
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 * =============================================================================
16 */
17import * as tf from '../../index';
18import { ALL_ENVS, describeWithFlags } from '../../jasmine_util';
19import { expectArraysClose } from '../../test_util';
20describeWithFlags('resizeBilinear', ALL_ENVS, () => {
21 it('simple alignCorners=false', async () => {
22 const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);
23 const output = input.resizeBilinear([3, 3], false);
24 expectArraysClose(await output.data(), [2, 2, 2, 10 / 3, 10 / 3, 10 / 3, 4, 4, 4]);
25 });
26 it('5x5-bilinear, no change in shape', async () => {
27 const image = tf.ones([1, 5, 5, 3]);
28 const alignCorners = false;
29 const output = tf.image.resizeBilinear(image, [5, 5], alignCorners);
30 expect(output.shape).toEqual([1, 5, 5, 3]);
31 expect(output.dtype).toBe('float32');
32 expectArraysClose(await output.data(), await image.data());
33 });
34 it('simple alignCorners=true', async () => {
35 const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);
36 const output = input.resizeBilinear([3, 3], true);
37 expectArraysClose(await output.data(), [2, 2, 2, 3, 3, 3, 4, 4, 4]);
38 });
39 it('works when rows are copied', async () => {
40 const input = tf.tensor3d([
41 1.56324531, 2.13817752, 1.44398421, 1.07632684, 0.59306785,
42 -0.36970865, 1.62451879, 1.8367334, 1.13944798, 2.01993218,
43 2.01919952, 2.67524054
44 ], [2, 3, 2]);
45 const output = input.resizeBilinear([4, 3], false);
46 expectArraysClose(await output.data(), [
47 1.5632453, 2.13817763, 1.44398415, 1.07632685, 0.59306782, -0.36970866,
48 1.59388208, 1.98745549, 1.2917161, 1.54812956, 1.30613375, 1.15276587,
49 1.62451875, 1.83673334, 1.13944793, 2.01993227, 2.01919961, 2.67524052,
50 1.62451875, 1.83673334, 1.13944793, 2.01993227, 2.01919961, 2.67524052
51 ]);
52 });
53 it('works for ints', async () => {
54 const input = tf.tensor3d([1, 2, 3, 4, 5], [1, 5, 1], 'int32');
55 const output = input.resizeBilinear([1, 10], false);
56 expect(output.shape).toEqual([1, 10, 1]);
57 expect(output.dtype).toBe('float32');
58 expectArraysClose(await output.data(), [1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5]);
59 });
60 it('matches tensorflow w/ random numbers alignCorners=false, ' +
61 'halfPixelCenters=true', async () => {
62 const input = tf.tensor3d([
63 1.19074044, 0.91373104, 2.01611669, -0.52270832, 0.38725395,
64 1.30809779, 0.61835143, 3.49600659, 2.09230986, 0.56473997,
65 0.03823943, 1.19864896
66 ], [2, 3, 2]);
67 const output = input.resizeBilinear([4, 5], false, true);
68 expectArraysClose(await output.data(), [
69 1.1907405, 0.913731, 1.520891, 0.3391553, 2.0161166, -0.5227083,
70 1.0387988, 0.5757756, 0.3872539, 1.3080978, 1.0476432, 1.5592999,
71 1.442652, 0.8352414, 2.0351648, -0.2508462, 0.9940659, 0.6681031,
72 0.3000003, 1.2807356, 0.7614487, 2.8504376, 1.2861738, 1.8274136,
73 2.0732617, 0.2928779, 0.9046002, 0.8527579, 0.125493, 1.2260112,
74 0.6183515, 3.4960065, 1.2079349, 2.3234997, 2.09231, 0.5647399,
75 0.8598673, 0.9450854, 0.0382394, 1.1986489
76 ]);
77 });
78 it('batch of 2, simple, alignCorners=false, ' +
79 'halfPixelCenters=true', async () => {
80 const input = tf.tensor4d([2, 2, 4, 4, 3, 3, 5, 5], [2, 2, 2, 1]);
81 const output = input.resizeBilinear([3, 3], false /* alignCorners */, true);
82 expectArraysClose(await output.data(), [2, 2, 2, 3, 3, 3, 4, 4, 4, 3, 3, 3, 4, 4, 4, 5, 5, 5]);
83 });
84 it('target width = 1, alignCorners=false, ' +
85 'halfPixelCenters=true', async () => {
86 const input = tf.tensor3d([
87 [
88 [120.68856811523438, 134.51638793945312, 83.03671264648438],
89 [121.58008575439453, 113.28836059570312, 136.3172149658203],
90 [79.38370513916016, 101.87127685546875, 104.54979705810547],
91 [96.31678771972656, 111.77168273925781, 83.73509979248047]
92 ],
93 [
94 [119.45088195800781, 88.98846435546875, 97.47553253173828],
95 [117.5562973022461, 108.26356506347656, 99.62212371826172],
96 [136.62701416015625, 94.10433197021484, 80.97366333007812],
97 [83.61205291748047, 90.60148620605469, 81.82512664794922]
98 ],
99 [
100 [103.0362777709961, 123.1098403930664, 125.62944030761719],
101 [92.2915267944336, 103.15729522705078, 119.18060302734375],
102 [102.93293762207031, 117.821044921875, 99.40152740478516],
103 [96.32952117919922, 105.80963134765625, 104.8491439819336]
104 ],
105 [
106 [104.87507629394531, 134.0189208984375, 111.02627563476562],
107 [85.4534683227539, 107.68426513671875, 103.03722381591797],
108 [89.70533752441406, 98.25298309326172, 78.42916870117188],
109 [113.6744613647461, 95.8189697265625, 122.75005340576172]
110 ]
111 ]);
112 const output = input.resizeBilinear([3, 1], false, true);
113 const expected = [
114 104.917, 106.514, 115.411, 112.352, 105.837, 99.7945, 89.2515, 104.222,
115 93.8262
116 ];
117 expectArraysClose(await output.data(), expected);
118 expect(output.shape).toEqual([3, 1, 3]);
119 });
120 it('matches tensorflow w/ random numbers alignCorners=false', async () => {
121 const input = tf.tensor3d([
122 1.19074044, 0.91373104, 2.01611669, -0.52270832, 0.38725395,
123 1.30809779, 0.61835143, 3.49600659, 2.09230986, 0.56473997,
124 0.03823943, 1.19864896
125 ], [2, 3, 2]);
126 const output = input.resizeBilinear([4, 5], false);
127 expectArraysClose(await output.data(), [
128 1.19074047, 0.91373104, 1.68596613, 0.05186744, 1.69034398, -0.15654698,
129 0.7130264, 0.94193673, 0.38725394, 1.30809784, 0.9045459, 2.20486879,
130 1.59434628, 0.89455694, 1.68591988, 0.26748738, 0.58103991, 1.00690198,
131 0.21274668, 1.25337338, 0.6183514, 3.49600649, 1.50272655, 1.73724651,
132 1.68149579, 0.69152176, 0.44905344, 1.07186723, 0.03823943, 1.19864893,
133 0.6183514, 3.49600649, 1.50272655, 1.73724651, 1.68149579, 0.69152176,
134 0.44905344, 1.07186723, 0.03823943, 1.19864893
135 ]);
136 });
137 it('matches tensorflow w/ random numbers alignCorners=true', async () => {
138 const input = tf.tensor3d([
139 1.56324531, 2.13817752, 1.44398421, 1.07632684, 0.59306785,
140 -0.36970865, 1.62451879, 1.8367334, 1.13944798, 2.01993218,
141 2.01919952, 2.67524054
142 ], [2, 3, 2]);
143 const output = input.resizeBilinear([4, 5], true);
144 expectArraysClose(await output.data(), [
145 1.5632453, 2.13817763, 1.50361478, 1.60725224, 1.44398427, 1.07632685,
146 1.01852608, 0.35330909, 0.59306782, -0.36970866, 1.58366978, 2.03769612,
147 1.46307099, 1.71427906, 1.3424722, 1.39086199, 1.20545864, 1.01806819,
148 1.06844509, 0.6452744, 1.60409427, 1.93721485, 1.42252707, 1.82130599,
149 1.24096, 1.70539713, 1.3923912, 1.68282723, 1.54382229, 1.66025746,
150 1.62451875, 1.83673346, 1.38198328, 1.92833281, 1.13944793, 2.01993227,
151 1.57932377, 2.34758639, 2.01919961, 2.67524052
152 ]);
153 });
154 it('batch of 2, simple, alignCorners=true', async () => {
155 const input = tf.tensor4d([2, 2, 4, 4, 3, 3, 5, 5], [2, 2, 2, 1]);
156 const output = input.resizeBilinear([3, 3], true /* alignCorners */);
157 expectArraysClose(await output.data(), [2, 2, 2, 3, 3, 3, 4, 4, 4, 3, 3, 3, 4, 4, 4, 5, 5, 5]);
158 });
159 it('target width = 1, alignCorners=true', async () => {
160 const input = tf.tensor3d([
161 [
162 [120.68856811523438, 134.51638793945312, 83.03671264648438],
163 [121.58008575439453, 113.28836059570312, 136.3172149658203],
164 [79.38370513916016, 101.87127685546875, 104.54979705810547],
165 [96.31678771972656, 111.77168273925781, 83.73509979248047]
166 ],
167 [
168 [119.45088195800781, 88.98846435546875, 97.47553253173828],
169 [117.5562973022461, 108.26356506347656, 99.62212371826172],
170 [136.62701416015625, 94.10433197021484, 80.97366333007812],
171 [83.61205291748047, 90.60148620605469, 81.82512664794922]
172 ],
173 [
174 [103.0362777709961, 123.1098403930664, 125.62944030761719],
175 [92.2915267944336, 103.15729522705078, 119.18060302734375],
176 [102.93293762207031, 117.821044921875, 99.40152740478516],
177 [96.32952117919922, 105.80963134765625, 104.8491439819336]
178 ],
179 [
180 [104.87507629394531, 134.0189208984375, 111.02627563476562],
181 [85.4534683227539, 107.68426513671875, 103.03722381591797],
182 [89.70533752441406, 98.25298309326172, 78.42916870117188],
183 [113.6744613647461, 95.8189697265625, 122.75005340576172]
184 ]
185 ]);
186 const output = input.resizeBilinear([3, 1], true);
187 const expected = [
188 120.68857, 134.51639, 83.03671, 111.243576, 106.04915, 111.55249,
189 104.87508, 134.01892, 111.026276
190 ];
191 expectArraysClose(await output.data(), expected);
192 expect(output.shape).toEqual([3, 1, 3]);
193 });
194 it('target height = 1, alignCorners=true', async () => {
195 const input = tf.tensor3d([
196 [
197 [120.68856811523438, 134.51638793945312, 83.03671264648438],
198 [121.58008575439453, 113.28836059570312, 136.3172149658203],
199 [79.38370513916016, 101.87127685546875, 104.54979705810547],
200 [96.31678771972656, 111.77168273925781, 83.73509979248047]
201 ],
202 [
203 [119.45088195800781, 88.98846435546875, 97.47553253173828],
204 [117.5562973022461, 108.26356506347656, 99.62212371826172],
205 [136.62701416015625, 94.10433197021484, 80.97366333007812],
206 [83.61205291748047, 90.60148620605469, 81.82512664794922]
207 ],
208 [
209 [103.0362777709961, 123.1098403930664, 125.62944030761719],
210 [92.2915267944336, 103.15729522705078, 119.18060302734375],
211 [102.93293762207031, 117.821044921875, 99.40152740478516],
212 [96.32952117919922, 105.80963134765625, 104.8491439819336]
213 ],
214 [
215 [104.87507629394531, 134.0189208984375, 111.02627563476562],
216 [85.4534683227539, 107.68426513671875, 103.03722381591797],
217 [89.70533752441406, 98.25298309326172, 78.42916870117188],
218 [113.6744613647461, 95.8189697265625, 122.75005340576172]
219 ]
220 ]);
221 const output = input.resizeBilinear([1, 3], true);
222 const expected = [
223 120.68857, 134.51639, 83.03671, 100.481895, 107.57982, 120.4335, 96.31679,
224 111.77168, 83.7351
225 ];
226 expectArraysClose(await output.data(), expected);
227 expect(output.shape).toEqual([1, 3, 3]);
228 });
229 it('throws when passed a non-tensor', () => {
230 const e = /Argument 'images' passed to 'resizeBilinear' must be a Tensor/;
231 expect(() => tf.image.resizeBilinear({}, [
232 1, 1
233 ])).toThrowError(e);
234 });
235 it('accepts a tensor-like object', async () => {
236 const input = [[[2], [2]], [[4], [4]]]; // 2x2x1
237 const output = tf.image.resizeBilinear(input, [3, 3], false);
238 expectArraysClose(await output.data(), [2, 2, 2, 10 / 3, 10 / 3, 10 / 3, 4, 4, 4]);
239 });
240});
241describeWithFlags('resizeBilinear gradients', ALL_ENVS, () => {
242 it('greyscale: upscale, same aspect ratio', async () => {
243 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
244 const dy = tf.tensor3d([
245 [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
246 [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]
247 ]);
248 const size = [4, 4];
249 const alignCorners = false;
250 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
251 const output = g(input, dy);
252 const expected = [6.0, 17.0, 38.0, 75.0];
253 expectArraysClose(await output.data(), expected);
254 });
255 it('with clones, greyscale: upscale, same aspect ratio', async () => {
256 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
257 const dy = tf.tensor3d([
258 [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
259 [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]
260 ]);
261 const size = [4, 4];
262 const alignCorners = false;
263 const g = tf.grad((i) => tf.image.resizeBilinear(i.clone(), size, alignCorners).clone());
264 const output = g(input, dy);
265 const expected = [6.0, 17.0, 38.0, 75.0];
266 expectArraysClose(await output.data(), expected);
267 });
268 it('greyscale: upscale, same aspect ratio, align corners', async () => {
269 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
270 const dy = tf.tensor3d([
271 [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
272 [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]
273 ]);
274 const size = [4, 4];
275 const alignCorners = true;
276 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
277 const output = g(input, dy);
278 const expected = [17.333330154418945, 23.999998092651367, 44.0, 50.66666793823242];
279 expectArraysClose(await output.data(), expected);
280 });
281 it('greyscale: upscale, taller than wider', async () => {
282 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
283 const dy = tf.tensor3d([
284 [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
285 [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]],
286 [[17.0], [18.0], [19.0], [20.0]], [[21.0], [22.0], [23.0], [24.0]],
287 [[25.0], [26.0], [27.0], [28.0]], [[29.0], [30.0], [31.0], [32.0]],
288 [[33.0], [34.0], [35.0], [36.0]]
289 ]);
290 const size = [9, 4];
291 const alignCorners = false;
292 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
293 const output = g(input, dy);
294 const expected = [
295 25.55555534362793, 55.5555534362793, 208.44444274902344, 376.4444274902344
296 ];
297 expectArraysClose(await output.data(), expected);
298 });
299 it('greyscale: upscale, taller than wider, align corners', async () => {
300 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
301 const dy = tf.tensor3d([
302 [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
303 [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]],
304 [[17.0], [18.0], [19.0], [20.0]], [[21.0], [22.0], [23.0], [24.0]],
305 [[25.0], [26.0], [27.0], [28.0]], [[29.0], [30.0], [31.0], [32.0]],
306 [[33.0], [34.0], [35.0], [36.0]]
307 ]);
308 const size = [9, 4];
309 const alignCorners = true;
310 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
311 const output = g(input, dy);
312 const expected = [99.0, 114.0, 219.00001525878906, 233.99998474121094];
313 expectArraysClose(await output.data(), expected);
314 });
315 it('greyscale: upscale, wider than taller', async () => {
316 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
317 const dy = tf.tensor3d([
318 [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0], [7.0]],
319 [[8.0], [9.0], [10.0], [11.0], [12.0], [13.0], [14.0]],
320 [[15.0], [16.0], [17.0], [18.0], [19.0], [20.0], [21.0]],
321 [[22.0], [23.0], [24.0], [25.0], [26.0], [27.0], [28.0]]
322 ]);
323 const size = [4, 7];
324 const alignCorners = false;
325 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
326 const output = g(input, dy);
327 const expected = [
328 14.428570747375488, 52.07142639160156, 98.71427917480469,
329 240.78573608398438
330 ];
331 expectArraysClose(await output.data(), expected);
332 });
333 it('greyscale: upscale, wider than taller, align corners', async () => {
334 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
335 const dy = tf.tensor3d([
336 [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0], [7.0]],
337 [[8.0], [9.0], [10.0], [11.0], [12.0], [13.0], [14.0]],
338 [[15.0], [16.0], [17.0], [18.0], [19.0], [20.0], [21.0]],
339 [[22.0], [23.0], [24.0], [25.0], [26.0], [27.0], [28.0]]
340 ]);
341 const size = [4, 7];
342 const alignCorners = true;
343 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
344 const output = g(input, dy);
345 const expected = [51.33332824707031, 70.0, 133.0, 151.66668701171875];
346 expectArraysClose(await output.data(), expected);
347 });
348 // Downscale
349 it('greyscale: downscale, same aspect ratio', async () => {
350 const input = tf.tensor3d([
351 [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
352 [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
353 ]);
354 const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
355 const size = [2, 2];
356 const alignCorners = false;
357 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
358 const output = g(input, dy);
359 const expected = [
360 1.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 3.0, 0.0, 4.0, 0.0, 0.0, 0.0, 0.0,
361 0.0
362 ];
363 expectArraysClose(await output.data(), expected);
364 });
365 it('greyscale: downscale, same aspect ratio, align corners', async () => {
366 const input = tf.tensor3d([
367 [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
368 [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
369 ]);
370 const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
371 const size = [2, 2];
372 const alignCorners = true;
373 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
374 const output = g(input, dy);
375 const expected = [
376 1.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 3.0, 0.0, 0.0,
377 4.0
378 ];
379 expectArraysClose(await output.data(), expected);
380 });
381 it('greyscale: downscale, taller than wider', async () => {
382 const input = tf.tensor3d([
383 [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
384 [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
385 ]);
386 const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]], [[5.0], [6.0]]]);
387 const size = [3, 2];
388 const alignCorners = false;
389 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
390 const output = g(input, dy);
391 const expected = [
392 1.0, 0.0, 2.0, 0.0, 1.9999998807907104, 0.0, 2.6666665077209473, 0.0,
393 2.6666665077209473, 0.0, 3.3333330154418945, 0.0, 3.333333730697632, 0.0,
394 4.000000476837158, 0.0
395 ];
396 expectArraysClose(await output.data(), expected);
397 });
398 it('greyscale: downscale, taller than wider, align corners', async () => {
399 const input = tf.tensor3d([
400 [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
401 [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
402 ]);
403 const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]], [[5.0], [6.0]]]);
404 const size = [3, 2];
405 const alignCorners = true;
406 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
407 const output = g(input, dy);
408 const expected = [
409 1.0, 0.0, 0.0, 2.0, 1.5, 0.0, 0.0, 2.0, 1.5, 0.0, 0.0, 2.0, 5.0, 0.0, 0.0,
410 6.0
411 ];
412 expectArraysClose(await output.data(), expected);
413 });
414 it('greyscale: downscale, wider than taller', async () => {
415 const input = tf.tensor3d([
416 [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
417 [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
418 ]);
419 const dy = tf.tensor3d([[[1.0], [2.0], [3.0]], [[4.0], [5.0], [6.0]]]);
420 const size = [2, 3];
421 const alignCorners = false;
422 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
423 const output = g(input, dy);
424 const expected = [
425 1.0, 1.3333332538604736, 1.6666665077209473, 2.000000238418579, 0.0, 0.0,
426 0.0, 0.0, 4.0, 3.3333330154418945, 3.6666665077209473, 4.000000476837158,
427 0.0, 0.0, 0.0, 0.0
428 ];
429 expectArraysClose(await output.data(), expected);
430 });
431 it('greyscale: downscale, wider than taller, align corners', async () => {
432 const input = tf.tensor3d([
433 [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
434 [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
435 ]);
436 const dy = tf.tensor3d([[[1.0], [2.0], [3.0]], [[4.0], [5.0], [6.0]]]);
437 const size = [2, 3];
438 const alignCorners = true;
439 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
440 const output = g(input, dy);
441 const expected = [
442 1.0, 1.0, 1.0, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 4.0, 2.5, 2.5,
443 6.0
444 ];
445 expectArraysClose(await output.data(), expected);
446 });
447 // No Op
448 it('greyscale: same size', async () => {
449 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
450 const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
451 const size = [2, 2];
452 const alignCorners = false;
453 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
454 const output = g(input, dy);
455 const expected = [1.0, 2.0, 3.0, 4.0];
456 expectArraysClose(await output.data(), expected);
457 });
458 it('greyscale: same size, align corners', async () => {
459 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
460 const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
461 const size = [2, 2];
462 const alignCorners = true;
463 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
464 const output = g(input, dy);
465 const expected = [1.0, 2.0, 3.0, 4.0];
466 expectArraysClose(await output.data(), expected);
467 });
468 // 3 channel upscale
469 it('color: upscale, wider than taller', async () => {
470 const input = tf.tensor3d([
471 [
472 [115.11029815673828, 111.90936279296875, 66.87433624267578],
473 [72.03849029541016, 81.86637878417969, 119.53585815429688]
474 ],
475 [
476 [68.555419921875, 97.49642181396484, 116.90741729736328],
477 [128.69467163085938, 86.78314208984375, 104.3116683959961]
478 ]
479 ]);
480 const dy = tf.tensor3d([
481 [
482 [1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0], [10.0, 11.0, 12.0],
483 [13.0, 14.0, 15.0]
484 ],
485 [
486 [16.0, 17.0, 18.0], [19.0, 20.0, 21.0], [22.0, 23.0, 24.0],
487 [25.0, 26.0, 27.0], [28.0, 29.0, 30.0]
488 ],
489 [
490 [31.0, 32.0, 33.0], [34.0, 35.0, 36.0], [37.0, 38.0, 39.0],
491 [40.0, 41.0, 42.0], [43.0, 44.0, 45.0]
492 ]
493 ]);
494 const size = [3, 5];
495 const alignCorners = false;
496 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
497 const output = g(input, dy);
498 const expected = [
499 15.399999618530273, 17.799999237060547, 20.19999885559082,
500 56.26666259765625, 60.533329010009766, 64.79999542236328,
501 80.00000762939453, 83.0, 86.0, 178.33334350585938, 183.66668701171875,
502 189.00001525878906
503 ];
504 expectArraysClose(await output.data(), expected);
505 });
506 it('color: upscale, wider than taller, align corners', async () => {
507 const input = tf.tensor3d([
508 [
509 [115.11029815673828, 111.90936279296875, 66.87433624267578],
510 [72.03849029541016, 81.86637878417969, 119.53585815429688]
511 ],
512 [
513 [68.555419921875, 97.49642181396484, 116.90741729736328],
514 [128.69467163085938, 86.78314208984375, 104.3116683959961]
515 ]
516 ]);
517 const dy = tf.tensor3d([
518 [
519 [1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0], [10.0, 11.0, 12.0],
520 [13.0, 14.0, 15.0]
521 ],
522 [
523 [16.0, 17.0, 18.0], [19.0, 20.0, 21.0], [22.0, 23.0, 24.0],
524 [25.0, 26.0, 27.0], [28.0, 29.0, 30.0]
525 ],
526 [
527 [31.0, 32.0, 33.0], [34.0, 35.0, 36.0], [37.0, 38.0, 39.0],
528 [40.0, 41.0, 42.0], [43.0, 44.0, 45.0]
529 ]
530 ]);
531 const size = [3, 5];
532 const alignCorners = true;
533 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
534 const output = g(input, dy);
535 const expected = [
536 33.75, 37.5, 41.25, 56.25, 60.0, 63.75, 108.75, 112.5, 116.25, 131.25,
537 135.0, 138.75
538 ];
539 expectArraysClose(await output.data(), expected);
540 });
541 // 3 channel downscale
542 it('color: downscale, taller than wider', async () => {
543 const input = tf.tensor3d([
544 [
545 [120.68856811523438, 134.51638793945312, 83.03671264648438],
546 [121.58008575439453, 113.28836059570312, 136.3172149658203],
547 [79.38370513916016, 101.87127685546875, 104.54979705810547],
548 [96.31678771972656, 111.77168273925781, 83.73509979248047]
549 ],
550 [
551 [119.45088195800781, 88.98846435546875, 97.47553253173828],
552 [117.5562973022461, 108.26356506347656, 99.62212371826172],
553 [136.62701416015625, 94.10433197021484, 80.97366333007812],
554 [83.61205291748047, 90.60148620605469, 81.82512664794922]
555 ],
556 [
557 [103.0362777709961, 123.1098403930664, 125.62944030761719],
558 [92.2915267944336, 103.15729522705078, 119.18060302734375],
559 [102.93293762207031, 117.821044921875, 99.40152740478516],
560 [96.32952117919922, 105.80963134765625, 104.8491439819336]
561 ],
562 [
563 [104.87507629394531, 134.0189208984375, 111.02627563476562],
564 [85.4534683227539, 107.68426513671875, 103.03722381591797],
565 [89.70533752441406, 98.25298309326172, 78.42916870117188],
566 [113.6744613647461, 95.8189697265625, 122.75005340576172]
567 ]
568 ]);
569 const dy = tf.tensor3d([[[1.0, 2.0, 3.0]], [[4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0]]]);
570 const size = [3, 1];
571 const alignCorners = false;
572 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
573 const output = g(input, dy);
574 const expected = [
575 1.0,
576 2.0,
577 3.0,
578 0.0,
579 0.0,
580 0.0,
581 0.0,
582 0.0,
583 0.0,
584 0.0,
585 0.0,
586 0.0,
587 2.6666665077209473,
588 3.3333330154418945,
589 3.999999761581421,
590 0.0,
591 0.0,
592 0.0,
593 0.0,
594 0.0,
595 0.0,
596 0.0,
597 0.0,
598 0.0,
599 3.666666269302368,
600 4.3333330154418945,
601 4.999999523162842,
602 0.0,
603 0.0,
604 0.0,
605 0.0,
606 0.0,
607 0.0,
608 0.0,
609 0.0,
610 0.0,
611 4.6666669845581055,
612 5.333333969116211,
613 6.000000953674316,
614 0.0,
615 0.0,
616 0.0,
617 0.0,
618 0.0,
619 0.0,
620 0.0,
621 0.0,
622 0.0
623 ];
624 expectArraysClose(await output.data(), expected);
625 });
626 it('color: downscale, width = 1, align corners', async () => {
627 const input = tf.tensor3d([
628 [
629 [120.68856811523438, 134.51638793945312, 83.03671264648438],
630 [121.58008575439453, 113.28836059570312, 136.3172149658203],
631 [79.38370513916016, 101.87127685546875, 104.54979705810547],
632 [96.31678771972656, 111.77168273925781, 83.73509979248047]
633 ],
634 [
635 [119.45088195800781, 88.98846435546875, 97.47553253173828],
636 [117.5562973022461, 108.26356506347656, 99.62212371826172],
637 [136.62701416015625, 94.10433197021484, 80.97366333007812],
638 [83.61205291748047, 90.60148620605469, 81.82512664794922]
639 ],
640 [
641 [103.0362777709961, 123.1098403930664, 125.62944030761719],
642 [92.2915267944336, 103.15729522705078, 119.18060302734375],
643 [102.93293762207031, 117.821044921875, 99.40152740478516],
644 [96.32952117919922, 105.80963134765625, 104.8491439819336]
645 ],
646 [
647 [104.87507629394531, 134.0189208984375, 111.02627563476562],
648 [85.4534683227539, 107.68426513671875, 103.03722381591797],
649 [89.70533752441406, 98.25298309326172, 78.42916870117188],
650 [113.6744613647461, 95.8189697265625, 122.75005340576172]
651 ]
652 ]);
653 const dy = tf.tensor3d([[[1.0, 2.0, 3.0]], [[4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0]]]);
654 const size = [3, 1];
655 const alignCorners = true;
656 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
657 const output = g(input, dy);
658 const expected = [
659 1.0, 2.0, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
660 2.0, 2.5, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
661 2.0, 2.5, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
662 7.0, 8.0, 9.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
663 ];
664 expectArraysClose(await output.data(), expected);
665 });
666 it('color: downscale, height = 1, align corners', async () => {
667 const input = tf.tensor3d([
668 [
669 [120.68856811523438, 134.51638793945312, 83.03671264648438],
670 [121.58008575439453, 113.28836059570312, 136.3172149658203],
671 [79.38370513916016, 101.87127685546875, 104.54979705810547],
672 [96.31678771972656, 111.77168273925781, 83.73509979248047]
673 ],
674 [
675 [119.45088195800781, 88.98846435546875, 97.47553253173828],
676 [117.5562973022461, 108.26356506347656, 99.62212371826172],
677 [136.62701416015625, 94.10433197021484, 80.97366333007812],
678 [83.61205291748047, 90.60148620605469, 81.82512664794922]
679 ],
680 [
681 [103.0362777709961, 123.1098403930664, 125.62944030761719],
682 [92.2915267944336, 103.15729522705078, 119.18060302734375],
683 [102.93293762207031, 117.821044921875, 99.40152740478516],
684 [96.32952117919922, 105.80963134765625, 104.8491439819336]
685 ],
686 [
687 [104.87507629394531, 134.0189208984375, 111.02627563476562],
688 [85.4534683227539, 107.68426513671875, 103.03722381591797],
689 [89.70533752441406, 98.25298309326172, 78.42916870117188],
690 [113.6744613647461, 95.8189697265625, 122.75005340576172]
691 ]
692 ]);
693 const dy = tf.tensor3d([[[1., 2., 3.], [4., 5., 6.], [7., 8., 9.]]]);
694 const size = [1, 3];
695 const alignCorners = true;
696 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
697 const output = g(input, dy);
698 const expected = [
699 1., 2., 3., 2., 2.5, 3., 2., 2.5, 3., 7., 8., 9., 0., 0., 0., 0.,
700 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
701 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.
702 ];
703 expectArraysClose(await output.data(), expected);
704 });
705 it('color: downscale, taller than wider, align corners', async () => {
706 const input = tf.tensor3d([
707 [
708 [120.68856811523438, 134.51638793945312, 83.03671264648438],
709 [121.58008575439453, 113.28836059570312, 136.3172149658203],
710 [79.38370513916016, 101.87127685546875, 104.54979705810547],
711 [96.31678771972656, 111.77168273925781, 83.73509979248047]
712 ],
713 [
714 [119.45088195800781, 88.98846435546875, 97.47553253173828],
715 [117.5562973022461, 108.26356506347656, 99.62212371826172],
716 [136.62701416015625, 94.10433197021484, 80.97366333007812],
717 [83.61205291748047, 90.60148620605469, 81.82512664794922]
718 ],
719 [
720 [103.0362777709961, 123.1098403930664, 125.62944030761719],
721 [92.2915267944336, 103.15729522705078, 119.18060302734375],
722 [102.93293762207031, 117.821044921875, 99.40152740478516],
723 [96.32952117919922, 105.80963134765625, 104.8491439819336]
724 ],
725 [
726 [104.87507629394531, 134.0189208984375, 111.02627563476562],
727 [85.4534683227539, 107.68426513671875, 103.03722381591797],
728 [89.70533752441406, 98.25298309326172, 78.42916870117188],
729 [113.6744613647461, 95.8189697265625, 122.75005340576172]
730 ]
731 ]);
732 const dy = tf.tensor3d([
733 [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]],
734 [[13.0, 14.0, 15.0], [16.0, 17.0, 18.0]]
735 ]);
736 const size = [3, 2];
737 const alignCorners = true;
738 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
739 const output = g(input, dy);
740 const expected = [
741 1.0, 2.0, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 4.0, 5.0, 6.0,
742 3.5, 4.0, 4.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5.0, 5.5, 6.0,
743 3.5, 4.0, 4.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5.0, 5.5, 6.0,
744 13.0, 14.0, 15.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 16.0, 17.0, 18.0
745 ];
746 expectArraysClose(await output.data(), expected);
747 });
748 // 3 channel no-op
749 it('color: same size', async () => {
750 const input = tf.tensor3d([
751 [
752 [115.11029815673828, 111.90936279296875, 66.87433624267578],
753 [72.03849029541016, 81.86637878417969, 119.53585815429688]
754 ],
755 [
756 [68.555419921875, 97.49642181396484, 116.90741729736328],
757 [128.69467163085938, 86.78314208984375, 104.3116683959961]
758 ]
759 ]);
760 const dy = tf.tensor3d([
761 [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]]
762 ]);
763 const size = [2, 2];
764 const alignCorners = false;
765 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
766 const output = g(input, dy);
767 const expected = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0];
768 expectArraysClose(await output.data(), expected);
769 });
770 it('color: same size, align corners', async () => {
771 const input = tf.tensor3d([
772 [
773 [115.11029815673828, 111.90936279296875, 66.87433624267578],
774 [72.03849029541016, 81.86637878417969, 119.53585815429688]
775 ],
776 [
777 [68.555419921875, 97.49642181396484, 116.90741729736328],
778 [128.69467163085938, 86.78314208984375, 104.3116683959961]
779 ]
780 ]);
781 const dy = tf.tensor3d([
782 [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]]
783 ]);
784 const size = [2, 2];
785 const alignCorners = true;
786 const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
787 const output = g(input, dy);
788 const expected = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0];
789 expectArraysClose(await output.data(), expected);
790 });
791});
792//# 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* @license\n * Copyright 2017 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tf from '../../index';\nimport {ALL_ENVS, describeWithFlags} from '../../jasmine_util';\nimport {expectArraysClose} from '../../test_util';\n\ndescribeWithFlags('resizeBilinear', ALL_ENVS, () => {\n  it('simple alignCorners=false', async () => {\n    const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);\n    const output = input.resizeBilinear([3, 3], false);\n\n    expectArraysClose(\n        await output.data(), [2, 2, 2, 10 / 3, 10 / 3, 10 / 3, 4, 4, 4]);\n  });\n\n  it('5x5-bilinear, no change in shape', async () => {\n    const image: tf.Tensor4D = tf.ones([1, 5, 5, 3]);\n\n    const alignCorners = false;\n    const output = tf.image.resizeBilinear(image, [5, 5], alignCorners);\n\n    expect(output.shape).toEqual([1, 5, 5, 3]);\n    expect(output.dtype).toBe('float32');\n    expectArraysClose(await output.data(), await image.data());\n  });\n\n  it('simple alignCorners=true', async () => {\n    const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);\n    const output = input.resizeBilinear([3, 3], true);\n\n    expectArraysClose(await output.data(), [2, 2, 2, 3, 3, 3, 4, 4, 4]);\n  });\n\n  it('works when rows are copied', async () => {\n    const input = tf.tensor3d(\n        [\n          1.56324531, 2.13817752, 1.44398421, 1.07632684, 0.59306785,\n          -0.36970865, 1.62451879, 1.8367334, 1.13944798, 2.01993218,\n          2.01919952, 2.67524054\n        ],\n        [2, 3, 2]);\n    const output = input.resizeBilinear([4, 3], false);\n\n    expectArraysClose(await output.data(), [\n      1.5632453,  2.13817763, 1.44398415, 1.07632685, 0.59306782, -0.36970866,\n      1.59388208, 1.98745549, 1.2917161,  1.54812956, 1.30613375, 1.15276587,\n      1.62451875, 1.83673334, 1.13944793, 2.01993227, 2.01919961, 2.67524052,\n      1.62451875, 1.83673334, 1.13944793, 2.01993227, 2.01919961, 2.67524052\n    ]);\n  });\n\n  it('works for ints', async () => {\n    const input = tf.tensor3d([1, 2, 3, 4, 5], [1, 5, 1], 'int32');\n    const output = input.resizeBilinear([1, 10], false);\n\n    expect(output.shape).toEqual([1, 10, 1]);\n    expect(output.dtype).toBe('float32');\n    expectArraysClose(\n        await output.data(), [1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5]);\n  });\n\n  it('matches tensorflow w/ random numbers alignCorners=false, ' +\n         'halfPixelCenters=true',\n     async () => {\n       const input = tf.tensor3d(\n           [\n             1.19074044, 0.91373104, 2.01611669, -0.52270832, 0.38725395,\n             1.30809779, 0.61835143, 3.49600659, 2.09230986, 0.56473997,\n             0.03823943, 1.19864896\n           ],\n           [2, 3, 2]);\n       const output = input.resizeBilinear([4, 5], false, true);\n\n       expectArraysClose(await output.data(), [\n         1.1907405, 0.913731,  1.520891,  0.3391553,  2.0161166, -0.5227083,\n         1.0387988, 0.5757756, 0.3872539, 1.3080978,  1.0476432, 1.5592999,\n         1.442652,  0.8352414, 2.0351648, -0.2508462, 0.9940659, 0.6681031,\n         0.3000003, 1.2807356, 0.7614487, 2.8504376,  1.2861738, 1.8274136,\n         2.0732617, 0.2928779, 0.9046002, 0.8527579,  0.125493,  1.2260112,\n         0.6183515, 3.4960065, 1.2079349, 2.3234997,  2.09231,   0.5647399,\n         0.8598673, 0.9450854, 0.0382394, 1.1986489\n       ]);\n     });\n\n  it('batch of 2, simple, alignCorners=false, ' +\n         'halfPixelCenters=true',\n     async () => {\n       const input = tf.tensor4d([2, 2, 4, 4, 3, 3, 5, 5], [2, 2, 2, 1]);\n       const output =\n           input.resizeBilinear([3, 3], false /* alignCorners */, true);\n\n       expectArraysClose(\n           await output.data(),\n           [2, 2, 2, 3, 3, 3, 4, 4, 4, 3, 3, 3, 4, 4, 4, 5, 5, 5]);\n     });\n\n  it('target width = 1, alignCorners=false, ' +\n         'halfPixelCenters=true',\n     async () => {\n       const input = tf.tensor3d([\n         [\n           [120.68856811523438, 134.51638793945312, 83.03671264648438],\n           [121.58008575439453, 113.28836059570312, 136.3172149658203],\n           [79.38370513916016, 101.87127685546875, 104.54979705810547],\n           [96.31678771972656, 111.77168273925781, 83.73509979248047]\n         ],\n         [\n           [119.45088195800781, 88.98846435546875, 97.47553253173828],\n           [117.5562973022461, 108.26356506347656, 99.62212371826172],\n           [136.62701416015625, 94.10433197021484, 80.97366333007812],\n           [83.61205291748047, 90.60148620605469, 81.82512664794922]\n         ],\n         [\n           [103.0362777709961, 123.1098403930664, 125.62944030761719],\n           [92.2915267944336, 103.15729522705078, 119.18060302734375],\n           [102.93293762207031, 117.821044921875, 99.40152740478516],\n           [96.32952117919922, 105.80963134765625, 104.8491439819336]\n         ],\n         [\n           [104.87507629394531, 134.0189208984375, 111.02627563476562],\n           [85.4534683227539, 107.68426513671875, 103.03722381591797],\n           [89.70533752441406, 98.25298309326172, 78.42916870117188],\n           [113.6744613647461, 95.8189697265625, 122.75005340576172]\n         ]\n       ]);\n\n       const output = input.resizeBilinear([3, 1], false, true);\n\n       const expected = [\n         104.917, 106.514, 115.411, 112.352, 105.837, 99.7945, 89.2515, 104.222,\n         93.8262\n       ];\n       expectArraysClose(await output.data(), expected);\n       expect(output.shape).toEqual([3, 1, 3]);\n     });\n\n  it('matches tensorflow w/ random numbers alignCorners=false', async () => {\n    const input = tf.tensor3d(\n        [\n          1.19074044, 0.91373104, 2.01611669, -0.52270832, 0.38725395,\n          1.30809779, 0.61835143, 3.49600659, 2.09230986, 0.56473997,\n          0.03823943, 1.19864896\n        ],\n        [2, 3, 2]);\n    const output = input.resizeBilinear([4, 5], false);\n\n    expectArraysClose(await output.data(), [\n      1.19074047, 0.91373104, 1.68596613, 0.05186744, 1.69034398, -0.15654698,\n      0.7130264,  0.94193673, 0.38725394, 1.30809784, 0.9045459,  2.20486879,\n      1.59434628, 0.89455694, 1.68591988, 0.26748738, 0.58103991, 1.00690198,\n      0.21274668, 1.25337338, 0.6183514,  3.49600649, 1.50272655, 1.73724651,\n      1.68149579, 0.69152176, 0.44905344, 1.07186723, 0.03823943, 1.19864893,\n      0.6183514,  3.49600649, 1.50272655, 1.73724651, 1.68149579, 0.69152176,\n      0.44905344, 1.07186723, 0.03823943, 1.19864893\n    ]);\n  });\n\n  it('matches tensorflow w/ random numbers alignCorners=true', async () => {\n    const input = tf.tensor3d(\n        [\n          1.56324531, 2.13817752, 1.44398421, 1.07632684, 0.59306785,\n          -0.36970865, 1.62451879, 1.8367334, 1.13944798, 2.01993218,\n          2.01919952, 2.67524054\n        ],\n        [2, 3, 2]);\n    const output = input.resizeBilinear([4, 5], true);\n\n    expectArraysClose(await output.data(), [\n      1.5632453,  2.13817763, 1.50361478, 1.60725224,  1.44398427, 1.07632685,\n      1.01852608, 0.35330909, 0.59306782, -0.36970866, 1.58366978, 2.03769612,\n      1.46307099, 1.71427906, 1.3424722,  1.39086199,  1.20545864, 1.01806819,\n      1.06844509, 0.6452744,  1.60409427, 1.93721485,  1.42252707, 1.82130599,\n      1.24096,    1.70539713, 1.3923912,  1.68282723,  1.54382229, 1.66025746,\n      1.62451875, 1.83673346, 1.38198328, 1.92833281,  1.13944793, 2.01993227,\n      1.57932377, 2.34758639, 2.01919961, 2.67524052\n    ]);\n  });\n\n  it('batch of 2, simple, alignCorners=true', async () => {\n    const input = tf.tensor4d([2, 2, 4, 4, 3, 3, 5, 5], [2, 2, 2, 1]);\n    const output = input.resizeBilinear([3, 3], true /* alignCorners */);\n\n    expectArraysClose(\n        await output.data(),\n        [2, 2, 2, 3, 3, 3, 4, 4, 4, 3, 3, 3, 4, 4, 4, 5, 5, 5]);\n  });\n\n  it('target width = 1, alignCorners=true', async () => {\n    const input = tf.tensor3d([\n      [\n        [120.68856811523438, 134.51638793945312, 83.03671264648438],\n        [121.58008575439453, 113.28836059570312, 136.3172149658203],\n        [79.38370513916016, 101.87127685546875, 104.54979705810547],\n        [96.31678771972656, 111.77168273925781, 83.73509979248047]\n      ],\n      [\n        [119.45088195800781, 88.98846435546875, 97.47553253173828],\n        [117.5562973022461, 108.26356506347656, 99.62212371826172],\n        [136.62701416015625, 94.10433197021484, 80.97366333007812],\n        [83.61205291748047, 90.60148620605469, 81.82512664794922]\n      ],\n      [\n        [103.0362777709961, 123.1098403930664, 125.62944030761719],\n        [92.2915267944336, 103.15729522705078, 119.18060302734375],\n        [102.93293762207031, 117.821044921875, 99.40152740478516],\n        [96.32952117919922, 105.80963134765625, 104.8491439819336]\n      ],\n      [\n        [104.87507629394531, 134.0189208984375, 111.02627563476562],\n        [85.4534683227539, 107.68426513671875, 103.03722381591797],\n        [89.70533752441406, 98.25298309326172, 78.42916870117188],\n        [113.6744613647461, 95.8189697265625, 122.75005340576172]\n      ]\n    ]);\n\n    const output = input.resizeBilinear([3, 1], true);\n\n    const expected = [\n      120.68857, 134.51639, 83.03671, 111.243576, 106.04915, 111.55249,\n      104.87508, 134.01892, 111.026276\n    ];\n    expectArraysClose(await output.data(), expected);\n    expect(output.shape).toEqual([3, 1, 3]);\n  });\n\n  it('target height = 1, alignCorners=true', async () => {\n    const input = tf.tensor3d([\n      [\n        [120.68856811523438, 134.51638793945312, 83.03671264648438],\n        [121.58008575439453, 113.28836059570312, 136.3172149658203],\n        [79.38370513916016, 101.87127685546875, 104.54979705810547],\n        [96.31678771972656, 111.77168273925781, 83.73509979248047]\n      ],\n      [\n        [119.45088195800781, 88.98846435546875, 97.47553253173828],\n        [117.5562973022461, 108.26356506347656, 99.62212371826172],\n        [136.62701416015625, 94.10433197021484, 80.97366333007812],\n        [83.61205291748047, 90.60148620605469, 81.82512664794922]\n      ],\n      [\n        [103.0362777709961, 123.1098403930664, 125.62944030761719],\n        [92.2915267944336, 103.15729522705078, 119.18060302734375],\n        [102.93293762207031, 117.821044921875, 99.40152740478516],\n        [96.32952117919922, 105.80963134765625, 104.8491439819336]\n      ],\n      [\n        [104.87507629394531, 134.0189208984375, 111.02627563476562],\n        [85.4534683227539, 107.68426513671875, 103.03722381591797],\n        [89.70533752441406, 98.25298309326172, 78.42916870117188],\n        [113.6744613647461, 95.8189697265625, 122.75005340576172]\n      ]\n    ]);\n\n    const output = input.resizeBilinear([1, 3], true);\n\n    const expected = [\n      120.68857, 134.51639, 83.03671, 100.481895, 107.57982, 120.4335, 96.31679,\n      111.77168, 83.7351\n    ];\n    expectArraysClose(await output.data(), expected);\n    expect(output.shape).toEqual([1, 3, 3]);\n  });\n\n  it('throws when passed a non-tensor', () => {\n    const e = /Argument 'images' passed to 'resizeBilinear' must be a Tensor/;\n    expect(() => tf.image.resizeBilinear({} as tf.Tensor3D, [\n      1, 1\n    ])).toThrowError(e);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const input = [[[2], [2]], [[4], [4]]];  // 2x2x1\n    const output = tf.image.resizeBilinear(input, [3, 3], false);\n    expectArraysClose(\n        await output.data(), [2, 2, 2, 10 / 3, 10 / 3, 10 / 3, 4, 4, 4]);\n  });\n});\n\ndescribeWithFlags('resizeBilinear gradients', ALL_ENVS, () => {\n  it('greyscale: upscale, same aspect ratio', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n    const dy = tf.tensor3d([\n      [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],\n      [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]\n    ]);\n\n    const size: [number, number] = [4, 4];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [6.0, 17.0, 38.0, 75.0];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('with clones, greyscale: upscale, same aspect ratio', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n    const dy = tf.tensor3d([\n      [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],\n      [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]\n    ]);\n\n    const size: [number, number] = [4, 4];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) =>\n            tf.image.resizeBilinear(i.clone(), size, alignCorners).clone());\n\n    const output = g(input, dy);\n    const expected = [6.0, 17.0, 38.0, 75.0];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: upscale, same aspect ratio, align corners', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n    const dy = tf.tensor3d([\n      [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],\n      [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]\n    ]);\n\n    const size: [number, number] = [4, 4];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected =\n        [17.333330154418945, 23.999998092651367, 44.0, 50.66666793823242];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: upscale, taller than wider', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n    const dy = tf.tensor3d([\n      [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],\n      [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]],\n      [[17.0], [18.0], [19.0], [20.0]], [[21.0], [22.0], [23.0], [24.0]],\n      [[25.0], [26.0], [27.0], [28.0]], [[29.0], [30.0], [31.0], [32.0]],\n      [[33.0], [34.0], [35.0], [36.0]]\n    ]);\n\n    const size: [number, number] = [9, 4];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      25.55555534362793, 55.5555534362793, 208.44444274902344, 376.4444274902344\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: upscale, taller than wider, align corners', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n    const dy = tf.tensor3d([\n      [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],\n      [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]],\n      [[17.0], [18.0], [19.0], [20.0]], [[21.0], [22.0], [23.0], [24.0]],\n      [[25.0], [26.0], [27.0], [28.0]], [[29.0], [30.0], [31.0], [32.0]],\n      [[33.0], [34.0], [35.0], [36.0]]\n    ]);\n\n    const size: [number, number] = [9, 4];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [99.0, 114.0, 219.00001525878906, 233.99998474121094];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: upscale, wider than taller', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n    const dy = tf.tensor3d([\n      [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0], [7.0]],\n      [[8.0], [9.0], [10.0], [11.0], [12.0], [13.0], [14.0]],\n      [[15.0], [16.0], [17.0], [18.0], [19.0], [20.0], [21.0]],\n      [[22.0], [23.0], [24.0], [25.0], [26.0], [27.0], [28.0]]\n    ]);\n\n    const size: [number, number] = [4, 7];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      14.428570747375488, 52.07142639160156, 98.71427917480469,\n      240.78573608398438\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: upscale, wider than taller, align corners', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n    const dy = tf.tensor3d([\n      [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0], [7.0]],\n      [[8.0], [9.0], [10.0], [11.0], [12.0], [13.0], [14.0]],\n      [[15.0], [16.0], [17.0], [18.0], [19.0], [20.0], [21.0]],\n      [[22.0], [23.0], [24.0], [25.0], [26.0], [27.0], [28.0]]\n    ]);\n\n    const size: [number, number] = [4, 7];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [51.33332824707031, 70.0, 133.0, 151.66668701171875];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  // Downscale\n\n  it('greyscale: downscale, same aspect ratio', async () => {\n    const input = tf.tensor3d([\n      [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],\n      [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]\n    ]);\n\n    const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);\n\n    const size: [number, number] = [2, 2];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 3.0, 0.0, 4.0, 0.0, 0.0, 0.0, 0.0,\n      0.0\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: downscale, same aspect ratio, align corners', async () => {\n    const input = tf.tensor3d([\n      [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],\n      [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]\n    ]);\n\n    const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);\n\n    const size: [number, number] = [2, 2];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 3.0, 0.0, 0.0,\n      4.0\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: downscale, taller than wider', async () => {\n    const input = tf.tensor3d([\n      [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],\n      [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]\n    ]);\n\n    const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]], [[5.0], [6.0]]]);\n\n    const size: [number, number] = [3, 2];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0, 0.0, 2.0, 0.0, 1.9999998807907104, 0.0, 2.6666665077209473, 0.0,\n      2.6666665077209473, 0.0, 3.3333330154418945, 0.0, 3.333333730697632, 0.0,\n      4.000000476837158, 0.0\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: downscale, taller than wider, align corners', async () => {\n    const input = tf.tensor3d([\n      [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],\n      [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]\n    ]);\n\n    const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]], [[5.0], [6.0]]]);\n\n    const size: [number, number] = [3, 2];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0, 0.0, 0.0, 2.0, 1.5, 0.0, 0.0, 2.0, 1.5, 0.0, 0.0, 2.0, 5.0, 0.0, 0.0,\n      6.0\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: downscale, wider than taller', async () => {\n    const input = tf.tensor3d([\n      [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],\n      [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]\n    ]);\n\n    const dy = tf.tensor3d([[[1.0], [2.0], [3.0]], [[4.0], [5.0], [6.0]]]);\n\n    const size: [number, number] = [2, 3];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0, 1.3333332538604736, 1.6666665077209473, 2.000000238418579, 0.0, 0.0,\n      0.0, 0.0, 4.0, 3.3333330154418945, 3.6666665077209473, 4.000000476837158,\n      0.0, 0.0, 0.0, 0.0\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: downscale, wider than taller, align corners', async () => {\n    const input = tf.tensor3d([\n      [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],\n      [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]\n    ]);\n\n    const dy = tf.tensor3d([[[1.0], [2.0], [3.0]], [[4.0], [5.0], [6.0]]]);\n\n    const size: [number, number] = [2, 3];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0, 1.0, 1.0, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 4.0, 2.5, 2.5,\n      6.0\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  // No Op\n\n  it('greyscale: same size', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n\n    const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);\n\n    const size: [number, number] = [2, 2];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [1.0, 2.0, 3.0, 4.0];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: same size, align corners', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n\n    const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);\n\n    const size: [number, number] = [2, 2];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [1.0, 2.0, 3.0, 4.0];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  // 3 channel upscale\n  it('color: upscale, wider than taller', async () => {\n    const input = tf.tensor3d([\n      [\n        [115.11029815673828, 111.90936279296875, 66.87433624267578],\n        [72.03849029541016, 81.86637878417969, 119.53585815429688]\n      ],\n      [\n        [68.555419921875, 97.49642181396484, 116.90741729736328],\n        [128.69467163085938, 86.78314208984375, 104.3116683959961]\n      ]\n    ]);\n\n    const dy = tf.tensor3d([\n      [\n        [1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0], [10.0, 11.0, 12.0],\n        [13.0, 14.0, 15.0]\n      ],\n      [\n        [16.0, 17.0, 18.0], [19.0, 20.0, 21.0], [22.0, 23.0, 24.0],\n        [25.0, 26.0, 27.0], [28.0, 29.0, 30.0]\n      ],\n      [\n        [31.0, 32.0, 33.0], [34.0, 35.0, 36.0], [37.0, 38.0, 39.0],\n        [40.0, 41.0, 42.0], [43.0, 44.0, 45.0]\n      ]\n    ]);\n\n    const size: [number, number] = [3, 5];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      15.399999618530273, 17.799999237060547, 20.19999885559082,\n      56.26666259765625, 60.533329010009766, 64.79999542236328,\n      80.00000762939453, 83.0, 86.0, 178.33334350585938, 183.66668701171875,\n      189.00001525878906\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('color: upscale, wider than taller, align corners', async () => {\n    const input = tf.tensor3d([\n      [\n        [115.11029815673828, 111.90936279296875, 66.87433624267578],\n        [72.03849029541016, 81.86637878417969, 119.53585815429688]\n      ],\n      [\n        [68.555419921875, 97.49642181396484, 116.90741729736328],\n        [128.69467163085938, 86.78314208984375, 104.3116683959961]\n      ]\n    ]);\n\n    const dy = tf.tensor3d([\n      [\n        [1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0], [10.0, 11.0, 12.0],\n        [13.0, 14.0, 15.0]\n      ],\n      [\n        [16.0, 17.0, 18.0], [19.0, 20.0, 21.0], [22.0, 23.0, 24.0],\n        [25.0, 26.0, 27.0], [28.0, 29.0, 30.0]\n      ],\n      [\n        [31.0, 32.0, 33.0], [34.0, 35.0, 36.0], [37.0, 38.0, 39.0],\n        [40.0, 41.0, 42.0], [43.0, 44.0, 45.0]\n      ]\n    ]);\n\n    const size: [number, number] = [3, 5];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      33.75, 37.5, 41.25, 56.25, 60.0, 63.75, 108.75, 112.5, 116.25, 131.25,\n      135.0, 138.75\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  // 3 channel downscale\n\n  it('color: downscale, taller than wider', async () => {\n    const input = tf.tensor3d([\n      [\n        [120.68856811523438, 134.51638793945312, 83.03671264648438],\n        [121.58008575439453, 113.28836059570312, 136.3172149658203],\n        [79.38370513916016, 101.87127685546875, 104.54979705810547],\n        [96.31678771972656, 111.77168273925781, 83.73509979248047]\n      ],\n      [\n        [119.45088195800781, 88.98846435546875, 97.47553253173828],\n        [117.5562973022461, 108.26356506347656, 99.62212371826172],\n        [136.62701416015625, 94.10433197021484, 80.97366333007812],\n        [83.61205291748047, 90.60148620605469, 81.82512664794922]\n      ],\n      [\n        [103.0362777709961, 123.1098403930664, 125.62944030761719],\n        [92.2915267944336, 103.15729522705078, 119.18060302734375],\n        [102.93293762207031, 117.821044921875, 99.40152740478516],\n        [96.32952117919922, 105.80963134765625, 104.8491439819336]\n      ],\n      [\n        [104.87507629394531, 134.0189208984375, 111.02627563476562],\n        [85.4534683227539, 107.68426513671875, 103.03722381591797],\n        [89.70533752441406, 98.25298309326172, 78.42916870117188],\n        [113.6744613647461, 95.8189697265625, 122.75005340576172]\n      ]\n    ]);\n\n    const dy =\n        tf.tensor3d([[[1.0, 2.0, 3.0]], [[4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0]]]);\n\n    const size: [number, number] = [3, 1];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0,\n      2.0,\n      3.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      2.6666665077209473,\n      3.3333330154418945,\n      3.999999761581421,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      3.666666269302368,\n      4.3333330154418945,\n      4.999999523162842,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      4.6666669845581055,\n      5.333333969116211,\n      6.000000953674316,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('color: downscale, width = 1, align corners', async () => {\n    const input = tf.tensor3d([\n      [\n        [120.68856811523438, 134.51638793945312, 83.03671264648438],\n        [121.58008575439453, 113.28836059570312, 136.3172149658203],\n        [79.38370513916016, 101.87127685546875, 104.54979705810547],\n        [96.31678771972656, 111.77168273925781, 83.73509979248047]\n      ],\n      [\n        [119.45088195800781, 88.98846435546875, 97.47553253173828],\n        [117.5562973022461, 108.26356506347656, 99.62212371826172],\n        [136.62701416015625, 94.10433197021484, 80.97366333007812],\n        [83.61205291748047, 90.60148620605469, 81.82512664794922]\n      ],\n      [\n        [103.0362777709961, 123.1098403930664, 125.62944030761719],\n        [92.2915267944336, 103.15729522705078, 119.18060302734375],\n        [102.93293762207031, 117.821044921875, 99.40152740478516],\n        [96.32952117919922, 105.80963134765625, 104.8491439819336]\n      ],\n      [\n        [104.87507629394531, 134.0189208984375, 111.02627563476562],\n        [85.4534683227539, 107.68426513671875, 103.03722381591797],\n        [89.70533752441406, 98.25298309326172, 78.42916870117188],\n        [113.6744613647461, 95.8189697265625, 122.75005340576172]\n      ]\n    ]);\n\n    const dy =\n        tf.tensor3d([[[1.0, 2.0, 3.0]], [[4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0]]]);\n\n    const size: [number, number] = [3, 1];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0, 2.0, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n      2.0, 2.5, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n      2.0, 2.5, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n      7.0, 8.0, 9.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0\n    ];\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('color: downscale, height = 1, align corners', async () => {\n    const input = tf.tensor3d([\n      [\n        [120.68856811523438, 134.51638793945312, 83.03671264648438],\n        [121.58008575439453, 113.28836059570312, 136.3172149658203],\n        [79.38370513916016, 101.87127685546875, 104.54979705810547],\n        [96.31678771972656, 111.77168273925781, 83.73509979248047]\n      ],\n      [\n        [119.45088195800781, 88.98846435546875, 97.47553253173828],\n        [117.5562973022461, 108.26356506347656, 99.62212371826172],\n        [136.62701416015625, 94.10433197021484, 80.97366333007812],\n        [83.61205291748047, 90.60148620605469, 81.82512664794922]\n      ],\n      [\n        [103.0362777709961, 123.1098403930664, 125.62944030761719],\n        [92.2915267944336, 103.15729522705078, 119.18060302734375],\n        [102.93293762207031, 117.821044921875, 99.40152740478516],\n        [96.32952117919922, 105.80963134765625, 104.8491439819336]\n      ],\n      [\n        [104.87507629394531, 134.0189208984375, 111.02627563476562],\n        [85.4534683227539, 107.68426513671875, 103.03722381591797],\n        [89.70533752441406, 98.25298309326172, 78.42916870117188],\n        [113.6744613647461, 95.8189697265625, 122.75005340576172]\n      ]\n    ]);\n\n    const dy = tf.tensor3d([[[1., 2., 3.], [4., 5., 6.], [7., 8., 9.]]]);\n\n    const size: [number, number] = [1, 3];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1., 2., 3., 2., 2.5, 3., 2., 2.5, 3., 7., 8., 9., 0., 0., 0., 0.,\n      0., 0., 0., 0., 0.,  0., 0., 0.,  0., 0., 0., 0., 0., 0., 0., 0.,\n      0., 0., 0., 0., 0.,  0., 0., 0.,  0., 0., 0., 0., 0., 0., 0., 0.\n    ];\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('color: downscale, taller than wider, align corners', async () => {\n    const input = tf.tensor3d([\n      [\n        [120.68856811523438, 134.51638793945312, 83.03671264648438],\n        [121.58008575439453, 113.28836059570312, 136.3172149658203],\n        [79.38370513916016, 101.87127685546875, 104.54979705810547],\n        [96.31678771972656, 111.77168273925781, 83.73509979248047]\n      ],\n      [\n        [119.45088195800781, 88.98846435546875, 97.47553253173828],\n        [117.5562973022461, 108.26356506347656, 99.62212371826172],\n        [136.62701416015625, 94.10433197021484, 80.97366333007812],\n        [83.61205291748047, 90.60148620605469, 81.82512664794922]\n      ],\n      [\n        [103.0362777709961, 123.1098403930664, 125.62944030761719],\n        [92.2915267944336, 103.15729522705078, 119.18060302734375],\n        [102.93293762207031, 117.821044921875, 99.40152740478516],\n        [96.32952117919922, 105.80963134765625, 104.8491439819336]\n      ],\n      [\n        [104.87507629394531, 134.0189208984375, 111.02627563476562],\n        [85.4534683227539, 107.68426513671875, 103.03722381591797],\n        [89.70533752441406, 98.25298309326172, 78.42916870117188],\n        [113.6744613647461, 95.8189697265625, 122.75005340576172]\n      ]\n    ]);\n\n    const dy = tf.tensor3d([\n      [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]],\n      [[13.0, 14.0, 15.0], [16.0, 17.0, 18.0]]\n    ]);\n\n    const size: [number, number] = [3, 2];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0,  2.0,  3.0,  0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 4.0,  5.0,  6.0,\n      3.5,  4.0,  4.5,  0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5.0,  5.5,  6.0,\n      3.5,  4.0,  4.5,  0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5.0,  5.5,  6.0,\n      13.0, 14.0, 15.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 16.0, 17.0, 18.0\n    ];\n    expectArraysClose(await output.data(), expected);\n  });\n\n  // 3 channel no-op\n\n  it('color: same size', async () => {\n    const input = tf.tensor3d([\n      [\n        [115.11029815673828, 111.90936279296875, 66.87433624267578],\n        [72.03849029541016, 81.86637878417969, 119.53585815429688]\n      ],\n      [\n        [68.555419921875, 97.49642181396484, 116.90741729736328],\n        [128.69467163085938, 86.78314208984375, 104.3116683959961]\n      ]\n    ]);\n\n    const dy = tf.tensor3d([\n      [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]]\n    ]);\n\n    const size: [number, number] = [2, 2];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected =\n        [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0];\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('color: same size, align corners', async () => {\n    const input = tf.tensor3d([\n      [\n        [115.11029815673828, 111.90936279296875, 66.87433624267578],\n        [72.03849029541016, 81.86637878417969, 119.53585815429688]\n      ],\n      [\n        [68.555419921875, 97.49642181396484, 116.90741729736328],\n        [128.69467163085938, 86.78314208984375, 104.3116683959961]\n      ]\n    ]);\n\n    const dy = tf.tensor3d([\n      [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]]\n    ]);\n\n    const size: [number, number] = [2, 2];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected =\n        [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0];\n    expectArraysClose(await output.data(), expected);\n  });\n});\n"]}
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