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1/**
2 * @license
3 * Copyright 2018 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('resizeNearestNeighbor', ALL_ENVS, () => {
21 it('simple alignCorners=false', async () => {
22 const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);
23 const output = input.resizeNearestNeighbor([3, 3], false);
24 expectArraysClose(await output.data(), [2, 2, 2, 2, 2, 2, 4, 4, 4]);
25 });
26 it('simple alignCorners=true', async () => {
27 const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);
28 const output = input.resizeNearestNeighbor([3, 3], true);
29 expectArraysClose(await output.data(), [2, 2, 2, 4, 4, 4, 4, 4, 4]);
30 });
31 it('5x2To2x2 alignCorners=false halfPixelCenters=true', async () => {
32 const input = tf.tensor4d([1, 2, 3, 4, 5, 1, 2, 3, 4, 5], [1, 2, 5, 1]);
33 const output = input.resizeNearestNeighbor([2, 2], false, true);
34 expectArraysClose(await output.data(), [2, 4, 2, 4]);
35 });
36 it('2x2To1x1 alignCorners=false halfPixelCenters=true', async () => {
37 const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);
38 const output = input.resizeNearestNeighbor([1, 1], false, true);
39 expectArraysClose(await output.data(), [4]);
40 });
41 it('2x2To3x3 alignCorners=false halfPixelCenters=true', async () => {
42 const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);
43 const output = input.resizeNearestNeighbor([3, 3], false, true);
44 expectArraysClose(await output.data(), [1, 2, 2, 3, 4, 4, 3, 4, 4]);
45 });
46 it('3x3To2x2 alignCorners=false halfPixelCenters=true', async () => {
47 const input = tf.tensor4d([1, 2, 3, 4, 5, 6, 7, 8, 9], [1, 3, 3, 1]);
48 const output = input.resizeNearestNeighbor([2, 2], false, true);
49 expectArraysClose(await output.data(), [1, 3, 7, 9]);
50 });
51 it('2x2To2x5 alignCorners=false halfPixelCenters=true', async () => {
52 const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);
53 const output = input.resizeNearestNeighbor([2, 5], false, true);
54 expectArraysClose(await output.data(), [1, 1, 2, 2, 2, 3, 3, 4, 4, 4]);
55 });
56 it('4x4To3x3 alignCorners=false halfPixelCenters=true', async () => {
57 const input = tf.tensor4d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [1, 4, 4, 1]);
58 const output = input.resizeNearestNeighbor([3, 3], false, true);
59 expectArraysClose(await output.data(), [1, 3, 4, 9, 11, 12, 13, 15, 16]);
60 });
61 it('2x2To5x2 alignCorners=false halfPixelCenters=true', async () => {
62 const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);
63 const output = input.resizeNearestNeighbor([5, 2], false, true);
64 expectArraysClose(await output.data(), [1, 2, 1, 2, 3, 4, 3, 4, 3, 4]);
65 });
66 it('2x2To4x4 alignCorners=false halfPixelCenters=true', async () => {
67 const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);
68 const output = input.resizeNearestNeighbor([4, 4], false, true);
69 expectArraysClose(await output.data(), [1, 1, 2, 2, 1, 1, 2, 2, 3, 3, 4, 4, 3, 3, 4, 4]);
70 });
71 it('matches tensorflow w/ random numbers alignCorners=false', async () => {
72 const input = tf.tensor3d([
73 1.19074044, 0.91373104, 2.01611669, -0.52270832, 0.38725395,
74 1.30809779, 0.61835143, 3.49600659, 2.09230986, 0.56473997,
75 0.03823943, 1.19864896
76 ], [2, 3, 2]);
77 const output = input.resizeNearestNeighbor([4, 5], false);
78 expectArraysClose(await output.data(), [
79 1.19074047, 0.913731039, 1.19074047, 0.913731039, 2.01611662,
80 -0.522708297, 2.01611662, -0.522708297, 0.38725394, 1.30809784,
81 1.19074047, 0.913731039, 1.19074047, 0.913731039, 2.01611662,
82 -0.522708297, 2.01611662, -0.522708297, 0.38725394, 1.30809784,
83 0.61835146, 3.49600649, 0.61835146, 3.49600649, 2.09230995,
84 0.564739943, 2.09230995, 0.564739943, 0.0382394306, 1.19864893,
85 0.61835146, 3.49600649, 0.61835146, 3.49600649, 2.09230995,
86 0.564739943, 2.09230995, 0.564739943, 0.0382394306, 1.19864893
87 ]);
88 });
89 it('matches tensorflow w/ random numbers alignCorners=true', async () => {
90 const input = tf.tensor3d([
91 1.19074044, 0.91373104, 2.01611669, -0.52270832, 0.38725395,
92 1.30809779, 0.61835143, 3.49600659, 2.09230986, 0.56473997,
93 0.03823943, 1.19864896
94 ], [2, 3, 2]);
95 const output = input.resizeNearestNeighbor([4, 5], true);
96 expectArraysClose(await output.data(), [
97 1.19074044, 0.91373104, 2.01611669, -0.52270832, 2.01611669, -0.52270832,
98 0.38725395, 1.30809779, 0.38725395, 1.30809779, 1.19074044, 0.91373104,
99 2.01611669, -0.52270832, 2.01611669, -0.52270832, 0.38725395, 1.30809779,
100 0.38725395, 1.30809779, 0.61835143, 3.49600659, 2.09230986, 0.56473997,
101 2.09230986, 0.56473997, 0.03823943, 1.19864896, 0.03823943, 1.19864896,
102 0.61835143, 3.49600659, 2.09230986, 0.56473997, 2.09230986, 0.56473997,
103 0.03823943, 1.19864896, 0.03823943, 1.19864896
104 ]);
105 });
106 it('batch of 2, simple, alignCorners=true', async () => {
107 const input = tf.tensor4d([2, 2, 4, 4, 3, 3, 5, 5], [2, 2, 2, 1]);
108 const output = input.resizeNearestNeighbor([3, 3], true /* alignCorners */);
109 expectArraysClose(await output.data(), [2, 2, 2, 4, 4, 4, 4, 4, 4, 3, 3, 3, 5, 5, 5, 5, 5, 5]);
110 });
111 it('throws when passed a non-tensor', () => {
112 const e = /Argument 'images' passed to 'resizeNearestNeighbor' must be a Tensor/;
113 expect(() => tf.image.resizeNearestNeighbor({}, [
114 1, 1
115 ])).toThrowError(e);
116 });
117 it('accepts a tensor-like object', async () => {
118 const input = [[[2], [2]], [[4], [4]]]; // 2x2x1
119 const output = tf.image.resizeNearestNeighbor(input, [3, 3], false);
120 expectArraysClose(await output.data(), [2, 2, 2, 2, 2, 2, 4, 4, 4]);
121 });
122 it('does not throw when some output dim is 1 and alignCorners=true', () => {
123 const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);
124 expect(() => input.resizeNearestNeighbor([1, 3], true)).not.toThrow();
125 });
126});
127describeWithFlags('resizeNearestNeighbor gradients', ALL_ENVS, () => {
128 it('greyscale: upscale, same aspect ratio', async () => {
129 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
130 const dy = tf.tensor3d([
131 [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
132 [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]
133 ]);
134 const size = [4, 4];
135 const alignCorners = false;
136 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
137 const output = g(input, dy);
138 const expected = tf.tensor3d([[[14.0], [22.0]], [[46.0], [54.0]]]);
139 expectArraysClose(await output.data(), await expected.data());
140 expect(output.shape).toEqual(expected.shape);
141 expect(output.dtype).toBe(expected.dtype);
142 });
143 it('with clones, greyscale: upscale, same aspect ratio', async () => {
144 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
145 const dy = tf.tensor3d([
146 [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
147 [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]
148 ]);
149 const size = [4, 4];
150 const alignCorners = false;
151 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i.clone(), size, alignCorners)
152 .clone());
153 const output = g(input, dy);
154 const expected = tf.tensor3d([[[14.0], [22.0]], [[46.0], [54.0]]]);
155 expectArraysClose(await output.data(), await expected.data());
156 expect(output.shape).toEqual(expected.shape);
157 expect(output.dtype).toBe(expected.dtype);
158 });
159 it('greyscale: upscale, same aspect ratio, align corners', async () => {
160 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
161 const dy = tf.tensor3d([
162 [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
163 [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]
164 ]);
165 const size = [4, 4];
166 const alignCorners = true;
167 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
168 const output = g(input, dy);
169 const expected = tf.tensor3d([[[14.0], [22.0]], [[46.0], [54.0]]]);
170 expectArraysClose(await output.data(), await expected.data());
171 expect(output.shape).toEqual(expected.shape);
172 expect(output.dtype).toBe(expected.dtype);
173 });
174 it('greyscale: upscale, taller than wider', async () => {
175 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
176 const dy = tf.tensor3d([
177 [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
178 [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]],
179 [[17.0], [18.0], [19.0], [20.0]], [[21.0], [22.0], [23.0], [24.0]],
180 [[25.0], [26.0], [27.0], [28.0]], [[29.0], [30.0], [31.0], [32.0]],
181 [[33.0], [34.0], [35.0], [36.0]]
182 ]);
183 const size = [9, 4];
184 const alignCorners = false;
185 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
186 const output = g(input, dy);
187 const expected = tf.tensor3d([[[95.0], [115.0]], [[220.0], [236.0]]]);
188 expectArraysClose(await output.data(), await expected.data());
189 expect(output.shape).toEqual(expected.shape);
190 expect(output.dtype).toBe(expected.dtype);
191 });
192 it('greyscale: upscale, taller than wider, align corners', async () => {
193 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
194 const dy = tf.tensor3d([
195 [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
196 [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]],
197 [[17.0], [18.0], [19.0], [20.0]], [[21.0], [22.0], [23.0], [24.0]],
198 [[25.0], [26.0], [27.0], [28.0]], [[29.0], [30.0], [31.0], [32.0]],
199 [[33.0], [34.0], [35.0], [36.0]]
200 ]);
201 const size = [9, 4];
202 const alignCorners = true;
203 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
204 const output = g(input, dy);
205 const expected = tf.tensor3d([[[60.0], [76.0]], [[255.0], [275.0]]]);
206 expectArraysClose(await output.data(), await expected.data());
207 expect(output.shape).toEqual(expected.shape);
208 expect(output.dtype).toBe(expected.dtype);
209 });
210 it('greyscale: upscale, wider than taller', async () => {
211 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
212 const dy = tf.tensor3d([
213 [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0], [7.0]],
214 [[8.0], [9.0], [10.0], [11.0], [12.0], [13.0], [14.0]],
215 [[15.0], [16.0], [17.0], [18.0], [19.0], [20.0], [21.0]],
216 [[22.0], [23.0], [24.0], [25.0], [26.0], [27.0], [28.0]]
217 ]);
218 const size = [4, 7];
219 const alignCorners = false;
220 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
221 const output = g(input, dy);
222 const expected = tf.tensor3d([[[48.0], [57.0]], [[160.0], [141.0]]]);
223 expectArraysClose(await output.data(), await expected.data());
224 expect(output.shape).toEqual(expected.shape);
225 expect(output.dtype).toBe(expected.dtype);
226 });
227 it('greyscale: upscale, wider than taller, align corners', async () => {
228 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
229 const dy = tf.tensor3d([
230 [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0], [7.0]],
231 [[8.0], [9.0], [10.0], [11.0], [12.0], [13.0], [14.0]],
232 [[15.0], [16.0], [17.0], [18.0], [19.0], [20.0], [21.0]],
233 [[22.0], [23.0], [24.0], [25.0], [26.0], [27.0], [28.0]]
234 ]);
235 const size = [4, 7];
236 const alignCorners = true;
237 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
238 const output = g(input, dy);
239 const expected = tf.tensor3d([[[33.0], [72.0]], [[117.0], [184.0]]]);
240 expectArraysClose(await output.data(), await expected.data());
241 expect(output.shape).toEqual(expected.shape);
242 expect(output.dtype).toBe(expected.dtype);
243 });
244 //
245 // Downscaling
246 //
247 it('greyscale: downscale, same aspect ratio', async () => {
248 const input = tf.tensor3d([
249 [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
250 [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
251 ]);
252 const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
253 const size = [2, 2];
254 const alignCorners = false;
255 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
256 const output = g(input, dy);
257 const expected = tf.tensor3d([
258 [[1.0], [0.0], [2.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]],
259 [[3.0], [0.0], [4.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]]
260 ]);
261 expectArraysClose(await output.data(), await expected.data());
262 expect(output.shape).toEqual(expected.shape);
263 expect(output.dtype).toBe(expected.dtype);
264 });
265 it('greyscale: downscale, same aspect ratio, align corners', async () => {
266 const input = tf.tensor3d([
267 [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
268 [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
269 ]);
270 const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
271 const size = [2, 2];
272 const alignCorners = true;
273 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
274 const output = g(input, dy);
275 const expected = tf.tensor3d([
276 [[1.0], [0.0], [0.0], [2.0]], [[0.0], [0.0], [0.0], [0.0]],
277 [[0.0], [0.0], [0.0], [0.0]], [[3.0], [0.0], [0.0], [4.0]]
278 ]);
279 expectArraysClose(await output.data(), await expected.data());
280 expect(output.shape).toEqual(expected.shape);
281 expect(output.dtype).toBe(expected.dtype);
282 });
283 it('greyscale: downscale, taller than wider', async () => {
284 const input = tf.tensor3d([
285 [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
286 [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
287 ]);
288 const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]], [[5.0], [6.0]]]);
289 const size = [3, 2];
290 const alignCorners = false;
291 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
292 const output = g(input, dy);
293 const expected = tf.tensor3d([
294 [[1.0], [0.0], [2.0], [0.0]], [[3.0], [0.0], [4.0], [0.0]],
295 [[5.0], [0.0], [6.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]]
296 ]);
297 expectArraysClose(await output.data(), await expected.data());
298 expect(output.shape).toEqual(expected.shape);
299 expect(output.dtype).toBe(expected.dtype);
300 });
301 it('greyscale: downscale, taller than wider, align corners', async () => {
302 const input = tf.tensor3d([
303 [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
304 [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
305 ]);
306 const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]], [[5.0], [6.0]]]);
307 const size = [3, 2];
308 const alignCorners = true;
309 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
310 const output = g(input, dy);
311 const expected = tf.tensor3d([
312 [[1.0], [0.0], [0.0], [2.0]], [[0.0], [0.0], [0.0], [0.0]],
313 [[3.0], [0.0], [0.0], [4.0]], [[5.0], [0.0], [0.0], [6.0]]
314 ]);
315 expectArraysClose(await output.data(), await expected.data());
316 expect(output.shape).toEqual(expected.shape);
317 expect(output.dtype).toBe(expected.dtype);
318 });
319 it('greyscale: downscale, taller than wider', async () => {
320 const input = tf.tensor3d([
321 [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
322 [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
323 ]);
324 const dy = tf.tensor3d([[[1.0], [2.0], [3.0]], [[4.0], [5.0], [6.0]]]);
325 const size = [2, 3];
326 const alignCorners = false;
327 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
328 const output = g(input, dy);
329 const expected = tf.tensor3d([
330 [[1.0], [2.0], [3.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]],
331 [[4.0], [5.0], [6.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]]
332 ]);
333 expectArraysClose(await output.data(), await expected.data());
334 expect(output.shape).toEqual(expected.shape);
335 expect(output.dtype).toBe(expected.dtype);
336 });
337 it('greyscale: downscale, taller than wider, align corners', async () => {
338 const input = tf.tensor3d([
339 [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
340 [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
341 ]);
342 const dy = tf.tensor3d([[[1.0], [2.0], [3.0]], [[4.0], [5.0], [6.0]]]);
343 const size = [2, 3];
344 const alignCorners = true;
345 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
346 const output = g(input, dy);
347 const expected = tf.tensor3d([
348 [[1.0], [0.0], [2.0], [3.0]], [[0.0], [0.0], [0.0], [0.0]],
349 [[0.0], [0.0], [0.0], [0.0]], [[4.0], [0.0], [5.0], [6.0]]
350 ]);
351 expectArraysClose(await output.data(), await expected.data());
352 expect(output.shape).toEqual(expected.shape);
353 expect(output.dtype).toBe(expected.dtype);
354 });
355 it('greyscale: downscale, same size', async () => {
356 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
357 const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
358 const size = [2, 2];
359 const alignCorners = false;
360 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
361 const output = g(input, dy);
362 const expected = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
363 expectArraysClose(await output.data(), await expected.data());
364 expect(output.shape).toEqual(expected.shape);
365 expect(output.dtype).toBe(expected.dtype);
366 });
367 it('greyscale: downscale, same size, align corners', async () => {
368 const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
369 const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
370 const size = [2, 2];
371 const alignCorners = true;
372 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
373 const output = g(input, dy);
374 const expected = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
375 expectArraysClose(await output.data(), await expected.data());
376 expect(output.shape).toEqual(expected.shape);
377 expect(output.dtype).toBe(expected.dtype);
378 });
379 //
380 // 3 channel images
381 //
382 it('color: upscale, wider than taller', async () => {
383 const input = tf.tensor3d([
384 [
385 [100.26818084716797, 74.61857604980469, 81.62117767333984],
386 [127.86964416503906, 85.0583267211914, 102.95439147949219]
387 ],
388 [
389 [104.3798828125, 96.70733642578125, 92.60601043701172],
390 [77.63021850585938, 68.55794525146484, 96.17212677001953]
391 ]
392 ]);
393 const dy = tf.tensor3d([
394 [
395 [1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0], [10.0, 11.0, 12.0],
396 [13.0, 14.0, 15.0]
397 ],
398 [
399 [16.0, 17.0, 18.0], [19.0, 20.0, 21.0], [22.0, 23.0, 24.0],
400 [25.0, 26.0, 27.0], [28.0, 29.0, 30.0]
401 ],
402 [
403 [31.0, 32.0, 33.0], [34.0, 35.0, 36.0], [37.0, 38.0, 39.0],
404 [40.0, 41.0, 42.0], [43.0, 44.0, 45.0]
405 ]
406 ]);
407 const size = [3, 5];
408 const alignCorners = false;
409 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
410 const output = g(input, dy);
411 const expected = tf.tensor3d([
412 [[69.0, 75.0, 81.0], [76.0, 80.0, 84.0]],
413 [[102.0, 105.0, 108.0], [83.0, 85.0, 87.0]]
414 ]);
415 expectArraysClose(await output.data(), await expected.data());
416 expect(output.shape).toEqual(expected.shape);
417 expect(output.dtype).toBe(expected.dtype);
418 });
419 it('color: upscale, wider than taller, align corners', async () => {
420 const input = tf.tensor3d([
421 [
422 [100.26818084716797, 74.61857604980469, 81.62117767333984],
423 [127.86964416503906, 85.0583267211914, 102.95439147949219]
424 ],
425 [
426 [104.3798828125, 96.70733642578125, 92.60601043701172],
427 [77.63021850585938, 68.55794525146484, 96.17212677001953]
428 ]
429 ]);
430 const dy = tf.tensor3d([
431 [
432 [1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0], [10.0, 11.0, 12.0],
433 [13.0, 14.0, 15.0]
434 ],
435 [
436 [16.0, 17.0, 18.0], [19.0, 20.0, 21.0], [22.0, 23.0, 24.0],
437 [25.0, 26.0, 27.0], [28.0, 29.0, 30.0]
438 ],
439 [
440 [31.0, 32.0, 33.0], [34.0, 35.0, 36.0], [37.0, 38.0, 39.0],
441 [40.0, 41.0, 42.0], [43.0, 44.0, 45.0]
442 ]
443 ]);
444 const size = [3, 5];
445 const alignCorners = true;
446 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
447 const output = g(input, dy);
448 const expected = tf.tensor3d([
449 [[5.0, 7.0, 9.0], [30.0, 33.0, 36.0]],
450 [[100.0, 104.0, 108.0], [195.0, 201.0, 207.0]]
451 ]);
452 expectArraysClose(await output.data(), await expected.data());
453 expect(output.shape).toEqual(expected.shape);
454 expect(output.dtype).toBe(expected.dtype);
455 });
456 it('color: downscale, taller than wider', async () => {
457 const input = tf.tensor3d([
458 [
459 [97.98934936523438, 77.24969482421875, 113.70111846923828],
460 [111.34081268310547, 113.15758514404297, 157.90521240234375],
461 [105.77980041503906, 85.75989532470703, 69.62374114990234],
462 [125.94231414794922, 73.11385345458984, 87.03099822998047]
463 ],
464 [
465 [62.25117111206055, 90.23927307128906, 119.1966552734375],
466 [93.55166625976562, 95.9106674194336, 115.56237030029297],
467 [102.98121643066406, 98.1983413696289, 97.55982971191406],
468 [86.47753143310547, 97.04051208496094, 121.50492095947266]
469 ],
470 [
471 [92.4140853881836, 118.45619201660156, 108.0341796875],
472 [126.43061065673828, 123.28077697753906, 121.03379821777344],
473 [128.6694793701172, 98.47042846679688, 114.47464752197266],
474 [93.31566619873047, 95.2713623046875, 102.51188659667969]
475 ],
476 [
477 [101.55884552001953, 83.31947326660156, 119.08016204833984],
478 [128.28546142578125, 92.56212615966797, 74.85054779052734],
479 [88.9786148071289, 119.43685913085938, 73.06110382080078],
480 [98.17908477783203, 105.54570007324219, 93.45832061767578]
481 ]
482 ]);
483 const dy = tf.tensor3d([[[1.0, 2.0, 3.0]], [[4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0]]]);
484 const size = [3, 1];
485 const alignCorners = false;
486 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
487 const output = g(input, dy);
488 const expected = tf.tensor3d([
489 [[1.0, 2.0, 3.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]],
490 [[4.0, 5.0, 6.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]],
491 [[7.0, 8.0, 9.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]],
492 [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]
493 ]);
494 expectArraysClose(await output.data(), await expected.data());
495 expect(output.shape).toEqual(expected.shape);
496 expect(output.dtype).toBe(expected.dtype);
497 });
498 it('color: downscale, taller than wider, align corners', async () => {
499 const input = tf.tensor3d([
500 [
501 [97.98934936523438, 77.24969482421875, 113.70111846923828],
502 [111.34081268310547, 113.15758514404297, 157.90521240234375],
503 [105.77980041503906, 85.75989532470703, 69.62374114990234],
504 [125.94231414794922, 73.11385345458984, 87.03099822998047]
505 ],
506 [
507 [62.25117111206055, 90.23927307128906, 119.1966552734375],
508 [93.55166625976562, 95.9106674194336, 115.56237030029297],
509 [102.98121643066406, 98.1983413696289, 97.55982971191406],
510 [86.47753143310547, 97.04051208496094, 121.50492095947266]
511 ],
512 [
513 [92.4140853881836, 118.45619201660156, 108.0341796875],
514 [126.43061065673828, 123.28077697753906, 121.03379821777344],
515 [128.6694793701172, 98.47042846679688, 114.47464752197266],
516 [93.31566619873047, 95.2713623046875, 102.51188659667969]
517 ],
518 [
519 [101.55884552001953, 83.31947326660156, 119.08016204833984],
520 [128.28546142578125, 92.56212615966797, 74.85054779052734],
521 [88.9786148071289, 119.43685913085938, 73.06110382080078],
522 [98.17908477783203, 105.54570007324219, 93.45832061767578]
523 ]
524 ]);
525 const dy = tf.tensor3d([[[1.0, 2.0, 3.0]], [[4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0]]]);
526 const size = [3, 1];
527 const alignCorners = true;
528 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
529 const output = g(input, dy);
530 const expected = tf.tensor3d([
531 [[1.0, 2.0, 3.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]],
532 [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]],
533 [[4.0, 5.0, 6.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]],
534 [[7.0, 8.0, 9.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]
535 ]);
536 expectArraysClose(await output.data(), await expected.data());
537 expect(output.shape).toEqual(expected.shape);
538 expect(output.dtype).toBe(expected.dtype);
539 });
540 it('color: same size', async () => {
541 const input = tf.tensor3d([
542 [
543 [100.26818084716797, 74.61857604980469, 81.62117767333984],
544 [127.86964416503906, 85.0583267211914, 102.95439147949219]
545 ],
546 [
547 [104.3798828125, 96.70733642578125, 92.60601043701172],
548 [77.63021850585938, 68.55794525146484, 96.17212677001953]
549 ]
550 ]);
551 const dy = tf.tensor3d([
552 [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]]
553 ]);
554 const size = [2, 2];
555 const alignCorners = false;
556 const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
557 const output = g(input, dy);
558 const expected = tf.tensor3d([
559 [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]]
560 ]);
561 expectArraysClose(await output.data(), await expected.data());
562 expect(output.shape).toEqual(expected.shape);
563 expect(output.dtype).toBe(expected.dtype);
564 });
565});
566//# 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* @license\n * Copyright 2018 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('resizeNearestNeighbor', ALL_ENVS, () => {\n  it('simple alignCorners=false', async () => {\n    const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);\n    const output = input.resizeNearestNeighbor([3, 3], false);\n\n    expectArraysClose(await output.data(), [2, 2, 2, 2, 2, 2, 4, 4, 4]);\n  });\n\n  it('simple alignCorners=true', async () => {\n    const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);\n    const output = input.resizeNearestNeighbor([3, 3], true);\n\n    expectArraysClose(await output.data(), [2, 2, 2, 4, 4, 4, 4, 4, 4]);\n  });\n\n  it('5x2To2x2 alignCorners=false halfPixelCenters=true', async () => {\n    const input = tf.tensor4d([1, 2, 3, 4, 5, 1, 2, 3, 4, 5], [1, 2, 5, 1]);\n    const output = input.resizeNearestNeighbor([2, 2], false, true);\n\n    expectArraysClose(await output.data(), [2, 4, 2, 4]);\n  });\n\n  it('2x2To1x1 alignCorners=false halfPixelCenters=true', async () => {\n    const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);\n    const output = input.resizeNearestNeighbor([1, 1], false, true);\n\n    expectArraysClose(await output.data(), [4]);\n  });\n\n  it('2x2To3x3 alignCorners=false halfPixelCenters=true', async () => {\n    const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);\n    const output = input.resizeNearestNeighbor([3, 3], false, true);\n\n    expectArraysClose(await output.data(), [1, 2, 2, 3, 4, 4, 3, 4, 4]);\n  });\n\n  it('3x3To2x2 alignCorners=false halfPixelCenters=true', async () => {\n    const input = tf.tensor4d([1, 2, 3, 4, 5, 6, 7, 8, 9], [1, 3, 3, 1]);\n    const output = input.resizeNearestNeighbor([2, 2], false, true);\n\n    expectArraysClose(await output.data(), [1, 3, 7, 9]);\n  });\n\n  it('2x2To2x5 alignCorners=false halfPixelCenters=true', async () => {\n    const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);\n    const output = input.resizeNearestNeighbor([2, 5], false, true);\n\n    expectArraysClose(await output.data(), [1, 1, 2, 2, 2, 3, 3, 4, 4, 4]);\n  });\n\n  it('4x4To3x3 alignCorners=false halfPixelCenters=true', async () => {\n    const input = tf.tensor4d(\n        [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [1, 4, 4, 1]);\n    const output = input.resizeNearestNeighbor([3, 3], false, true);\n\n    expectArraysClose(await output.data(), [1, 3, 4, 9, 11, 12, 13, 15, 16]);\n  });\n\n  it('2x2To5x2 alignCorners=false halfPixelCenters=true', async () => {\n    const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);\n    const output = input.resizeNearestNeighbor([5, 2], false, true);\n\n    expectArraysClose(await output.data(), [1, 2, 1, 2, 3, 4, 3, 4, 3, 4]);\n  });\n\n  it('2x2To4x4 alignCorners=false halfPixelCenters=true', async () => {\n    const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);\n    const output = input.resizeNearestNeighbor([4, 4], false, true);\n\n    expectArraysClose(\n        await output.data(), [1, 1, 2, 2, 1, 1, 2, 2, 3, 3, 4, 4, 3, 3, 4, 4]);\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.resizeNearestNeighbor([4, 5], false);\n\n    expectArraysClose(await output.data(), [\n      1.19074047,   0.913731039, 1.19074047,   0.913731039,  2.01611662,\n      -0.522708297, 2.01611662,  -0.522708297, 0.38725394,   1.30809784,\n      1.19074047,   0.913731039, 1.19074047,   0.913731039,  2.01611662,\n      -0.522708297, 2.01611662,  -0.522708297, 0.38725394,   1.30809784,\n      0.61835146,   3.49600649,  0.61835146,   3.49600649,   2.09230995,\n      0.564739943,  2.09230995,  0.564739943,  0.0382394306, 1.19864893,\n      0.61835146,   3.49600649,  0.61835146,   3.49600649,   2.09230995,\n      0.564739943,  2.09230995,  0.564739943,  0.0382394306, 1.19864893\n    ]);\n  });\n\n  it('matches tensorflow w/ random numbers alignCorners=true', 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.resizeNearestNeighbor([4, 5], true);\n\n    expectArraysClose(await output.data(), [\n      1.19074044, 0.91373104,  2.01611669, -0.52270832, 2.01611669, -0.52270832,\n      0.38725395, 1.30809779,  0.38725395, 1.30809779,  1.19074044, 0.91373104,\n      2.01611669, -0.52270832, 2.01611669, -0.52270832, 0.38725395, 1.30809779,\n      0.38725395, 1.30809779,  0.61835143, 3.49600659,  2.09230986, 0.56473997,\n      2.09230986, 0.56473997,  0.03823943, 1.19864896,  0.03823943, 1.19864896,\n      0.61835143, 3.49600659,  2.09230986, 0.56473997,  2.09230986, 0.56473997,\n      0.03823943, 1.19864896,  0.03823943, 1.19864896\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.resizeNearestNeighbor([3, 3], true /* alignCorners */);\n\n    expectArraysClose(\n        await output.data(),\n        [2, 2, 2, 4, 4, 4, 4, 4, 4, 3, 3, 3, 5, 5, 5, 5, 5, 5]);\n  });\n\n  it('throws when passed a non-tensor', () => {\n    const e =\n        /Argument 'images' passed to 'resizeNearestNeighbor' must be a Tensor/;\n    expect(() => tf.image.resizeNearestNeighbor({} 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.resizeNearestNeighbor(input, [3, 3], false);\n\n    expectArraysClose(await output.data(), [2, 2, 2, 2, 2, 2, 4, 4, 4]);\n  });\n\n  it('does not throw when some output dim is 1 and alignCorners=true', () => {\n    const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);\n    expect(() => input.resizeNearestNeighbor([1, 3], true)).not.toThrow();\n  });\n});\n\ndescribeWithFlags('resizeNearestNeighbor 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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[14.0], [22.0]], [[46.0], [54.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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.resizeNearestNeighbor(i.clone(), size, alignCorners)\n                .clone());\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[14.0], [22.0]], [[46.0], [54.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[14.0], [22.0]], [[46.0], [54.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[95.0], [115.0]], [[220.0], [236.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[60.0], [76.0]], [[255.0], [275.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[48.0], [57.0]], [[160.0], [141.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[33.0], [72.0]], [[117.0], [184.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n\n  //\n  // Downscaling\n  //\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    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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\n      [[1.0], [0.0], [2.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]],\n      [[3.0], [0.0], [4.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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    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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\n      [[1.0], [0.0], [0.0], [2.0]], [[0.0], [0.0], [0.0], [0.0]],\n      [[0.0], [0.0], [0.0], [0.0]], [[3.0], [0.0], [0.0], [4.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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    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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\n      [[1.0], [0.0], [2.0], [0.0]], [[3.0], [0.0], [4.0], [0.0]],\n      [[5.0], [0.0], [6.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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    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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\n      [[1.0], [0.0], [0.0], [2.0]], [[0.0], [0.0], [0.0], [0.0]],\n      [[3.0], [0.0], [0.0], [4.0]], [[5.0], [0.0], [0.0], [6.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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    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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\n      [[1.0], [2.0], [3.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]],\n      [[4.0], [5.0], [6.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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    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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\n      [[1.0], [0.0], [2.0], [3.0]], [[0.0], [0.0], [0.0], [0.0]],\n      [[0.0], [0.0], [0.0], [0.0]], [[4.0], [0.0], [5.0], [6.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n\n  it('greyscale: downscale, same size', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n\n  it('greyscale: downscale, same size, align corners', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n\n  //\n  // 3 channel images\n  //\n\n  it('color: upscale, wider than taller', async () => {\n    const input = tf.tensor3d([\n      [\n        [100.26818084716797, 74.61857604980469, 81.62117767333984],\n        [127.86964416503906, 85.0583267211914, 102.95439147949219]\n      ],\n      [\n        [104.3798828125, 96.70733642578125, 92.60601043701172],\n        [77.63021850585938, 68.55794525146484, 96.17212677001953]\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\n      [[69.0, 75.0, 81.0], [76.0, 80.0, 84.0]],\n      [[102.0, 105.0, 108.0], [83.0, 85.0, 87.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n\n  it('color: upscale, wider than taller, align corners', async () => {\n    const input = tf.tensor3d([\n      [\n        [100.26818084716797, 74.61857604980469, 81.62117767333984],\n        [127.86964416503906, 85.0583267211914, 102.95439147949219]\n      ],\n      [\n        [104.3798828125, 96.70733642578125, 92.60601043701172],\n        [77.63021850585938, 68.55794525146484, 96.17212677001953]\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\n      [[5.0, 7.0, 9.0], [30.0, 33.0, 36.0]],\n      [[100.0, 104.0, 108.0], [195.0, 201.0, 207.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n\n  it('color: downscale, taller than wider', async () => {\n    const input = tf.tensor3d([\n      [\n        [97.98934936523438, 77.24969482421875, 113.70111846923828],\n        [111.34081268310547, 113.15758514404297, 157.90521240234375],\n        [105.77980041503906, 85.75989532470703, 69.62374114990234],\n        [125.94231414794922, 73.11385345458984, 87.03099822998047]\n      ],\n      [\n        [62.25117111206055, 90.23927307128906, 119.1966552734375],\n        [93.55166625976562, 95.9106674194336, 115.56237030029297],\n        [102.98121643066406, 98.1983413696289, 97.55982971191406],\n        [86.47753143310547, 97.04051208496094, 121.50492095947266]\n      ],\n      [\n        [92.4140853881836, 118.45619201660156, 108.0341796875],\n        [126.43061065673828, 123.28077697753906, 121.03379821777344],\n        [128.6694793701172, 98.47042846679688, 114.47464752197266],\n        [93.31566619873047, 95.2713623046875, 102.51188659667969]\n      ],\n      [\n        [101.55884552001953, 83.31947326660156, 119.08016204833984],\n        [128.28546142578125, 92.56212615966797, 74.85054779052734],\n        [88.9786148071289, 119.43685913085938, 73.06110382080078],\n        [98.17908477783203, 105.54570007324219, 93.45832061767578]\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\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      [[4.0, 5.0, 6.0], [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      [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n\n  it('color: downscale, taller than wider, align corners', async () => {\n    const input = tf.tensor3d([\n      [\n        [97.98934936523438, 77.24969482421875, 113.70111846923828],\n        [111.34081268310547, 113.15758514404297, 157.90521240234375],\n        [105.77980041503906, 85.75989532470703, 69.62374114990234],\n        [125.94231414794922, 73.11385345458984, 87.03099822998047]\n      ],\n      [\n        [62.25117111206055, 90.23927307128906, 119.1966552734375],\n        [93.55166625976562, 95.9106674194336, 115.56237030029297],\n        [102.98121643066406, 98.1983413696289, 97.55982971191406],\n        [86.47753143310547, 97.04051208496094, 121.50492095947266]\n      ],\n      [\n        [92.4140853881836, 118.45619201660156, 108.0341796875],\n        [126.43061065673828, 123.28077697753906, 121.03379821777344],\n        [128.6694793701172, 98.47042846679688, 114.47464752197266],\n        [93.31566619873047, 95.2713623046875, 102.51188659667969]\n      ],\n      [\n        [101.55884552001953, 83.31947326660156, 119.08016204833984],\n        [128.28546142578125, 92.56212615966797, 74.85054779052734],\n        [88.9786148071289, 119.43685913085938, 73.06110382080078],\n        [98.17908477783203, 105.54570007324219, 93.45832061767578]\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\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      [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]],\n      [[4.0, 5.0, 6.0], [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\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n\n  it('color: same size', async () => {\n    const input = tf.tensor3d([\n      [\n        [100.26818084716797, 74.61857604980469, 81.62117767333984],\n        [127.86964416503906, 85.0583267211914, 102.95439147949219]\n      ],\n      [\n        [104.3798828125, 96.70733642578125, 92.60601043701172],\n        [77.63021850585938, 68.55794525146484, 96.17212677001953]\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = 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    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n});\n"]}
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