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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('conv2dTranspose', ALL_ENVS, () => {
21 it('input=2x2x1,d2=1,f=2,s=1,p=0', async () => {
22 const origInputDepth = 1;
23 const origOutputDepth = 1;
24 const inputShape = [1, 1, origOutputDepth];
25 const fSize = 2;
26 const origPad = 0;
27 const origStride = 1;
28 const x = tf.tensor3d([2], inputShape);
29 const w = tf.tensor4d([3, 1, 5, 0], [fSize, fSize, origInputDepth, origOutputDepth]);
30 const result = tf.conv2dTranspose(x, w, [2, 2, 1], origStride, origPad);
31 const expected = [6, 2, 10, 0];
32 expect(result.shape).toEqual([2, 2, 1]);
33 expectArraysClose(await result.data(), expected);
34 });
35 it('input=3x3x1,d2=1,f=2,s=2,p=same', async () => {
36 const origInputDepth = 1;
37 const origOutputDepth = 4;
38 const inputShape = [1, 2, 2, origOutputDepth];
39 const fSize = 2;
40 const origPad = 'same';
41 const origStride = 2;
42 const x = tf.tensor4d([
43 1.24, 1.66, 0.9, 1.39, 0.16, 0.27, 0.42, 0.61, 0.04, 0.17, 0.34, 0.28,
44 0., 0.06, 0.14, 0.24
45 ], inputShape);
46 const w = tf.tensor4d([0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15.], [fSize, fSize, origInputDepth, origOutputDepth]);
47 const result = tf.conv2dTranspose(x, w, [1, 3, 3, 1], origStride, origPad);
48 const expected = [7.63, 28.39, 2.94, 49.15, 69.91, 14.62, 1.69, 5.01, 1.06];
49 expect(result.shape).toEqual([1, 3, 3, 1]);
50 expectArraysClose(await result.data(), expected);
51 });
52 it('input=3x3x1,d2=1,f=2,s=2,p=explicit', async () => {
53 const origInputDepth = 1;
54 const origOutputDepth = 4;
55 const inputShape = [1, 2, 2, origOutputDepth];
56 const fSize = 2;
57 const origPad = [[0, 0], [0, 1], [0, 1], [0, 0]];
58 const origStride = 2;
59 const x = tf.tensor4d([
60 1.24, 1.66, 0.9, 1.39, 0.16, 0.27, 0.42, 0.61, 0.04, 0.17, 0.34, 0.28,
61 0., 0.06, 0.14, 0.24
62 ], inputShape);
63 const w = tf.tensor4d([0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15.], [fSize, fSize, origInputDepth, origOutputDepth]);
64 const result = tf.conv2dTranspose(x, w, [1, 3, 3, 1], origStride, origPad);
65 const expected = [7.63, 28.39, 2.94, 49.15, 69.91, 14.62, 1.69, 5.01, 1.06];
66 expect(result.shape).toEqual([1, 3, 3, 1]);
67 expectArraysClose(await result.data(), expected);
68 });
69 it('input=2x2x1,d2=1,f=2,s=1,p=0, batch=2', async () => {
70 const origInputDepth = 1;
71 const origOutputDepth = 1;
72 const inputShape = [2, 1, 1, origOutputDepth];
73 const fSize = 2;
74 const origPad = 0;
75 const origStride = 1;
76 const x = tf.tensor4d([2, 3], inputShape);
77 const w = tf.tensor4d([3, 1, 5, 0], [fSize, fSize, origInputDepth, origOutputDepth]);
78 const result = tf.conv2dTranspose(x, w, [2, 2, 2, 1], origStride, origPad);
79 const expected = [6, 2, 10, 0, 9, 3, 15, 0];
80 expect(result.shape).toEqual([2, 2, 2, 1]);
81 expectArraysClose(await result.data(), expected);
82 });
83 it('input=2x2x2,output=3x3x2,f=2,s=2,inDepth=2,p=same', async () => {
84 const origInputDepth = 2;
85 const origOutputDepth = 2;
86 const inputShape = [1, 2, 2, origOutputDepth];
87 const fSize = 2;
88 const origPad = 'same';
89 const origStride = 2;
90 const x = tf.tensor4d([0., 1., 2., 3., 4., 5., 6., 7.], inputShape);
91 const w = tf.tensor4d([0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15.], [fSize, fSize, origInputDepth, origOutputDepth]);
92 const result = tf.conv2dTranspose(x, w, [1, 3, 3, origInputDepth], origStride, origPad);
93 const expected = [1, 3, 5, 7, 3, 13, 9, 11, 13, 15, 43, 53, 5, 23, 41, 59, 7, 33.];
94 expect(result.shape).toEqual([1, 3, 3, origInputDepth]);
95 expectArraysClose(await result.data(), expected);
96 });
97 it('throws when dimRoundingMode is set and pad is same', async () => {
98 const origInputDepth = 1;
99 const origOutputDepth = 4;
100 const inputShape = [1, 2, 2, origOutputDepth];
101 const fSize = 2;
102 const origPad = 'same';
103 const origStride = 2;
104 const dimRoundingMode = 'round';
105 const x = tf.tensor4d([
106 1.24, 1.66, 0.9, 1.39, 0.16, 0.27, 0.42, 0.61, 0.04, 0.17, 0.34, 0.28,
107 0., 0.06, 0.14, 0.24
108 ], inputShape);
109 const w = tf.tensor4d([0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15.], [fSize, fSize, origInputDepth, origOutputDepth]);
110 expect(() => tf.conv2dTranspose(x, w, [1, 3, 3, 1], origStride, origPad, dimRoundingMode))
111 .toThrowError();
112 });
113 it('throws when dimRoundingMode is set and pad is valid', async () => {
114 const origInputDepth = 1;
115 const origOutputDepth = 4;
116 const inputShape = [1, 2, 2, origOutputDepth];
117 const fSize = 2;
118 const origPad = 'valid';
119 const origStride = 2;
120 const dimRoundingMode = 'round';
121 const x = tf.tensor4d([
122 1.24, 1.66, 0.9, 1.39, 0.16, 0.27, 0.42, 0.61, 0.04, 0.17, 0.34, 0.28,
123 0., 0.06, 0.14, 0.24
124 ], inputShape);
125 const w = tf.tensor4d([0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15.], [fSize, fSize, origInputDepth, origOutputDepth]);
126 expect(() => tf.conv2dTranspose(x, w, [1, 3, 3, 1], origStride, origPad, dimRoundingMode))
127 .toThrowError();
128 });
129 it('throws when dimRoundingMode is set and pad is a non-integer number', async () => {
130 const origInputDepth = 1;
131 const origOutputDepth = 4;
132 const inputShape = [1, 2, 2, origOutputDepth];
133 const fSize = 2;
134 const origPad = 1.2;
135 const origStride = 2;
136 const dimRoundingMode = 'round';
137 const x = tf.tensor4d([
138 1.24, 1.66, 0.9, 1.39, 0.16, 0.27, 0.42, 0.61, 0.04, 0.17, 0.34,
139 0.28, 0., 0.06, 0.14, 0.24
140 ], inputShape);
141 const w = tf.tensor4d([
142 0., 1., 2., 3., 4., 5., 6., 7., 8.,
143 9., 10., 11., 12., 13., 14., 15.
144 ], [fSize, fSize, origInputDepth, origOutputDepth]);
145 expect(() => tf.conv2dTranspose(x, w, [1, 3, 3, 1], origStride, origPad, dimRoundingMode))
146 .toThrowError();
147 });
148 it('throws when dimRoundingMode is set and pad is explicit by non-integer ' +
149 'number', async () => {
150 const origInputDepth = 1;
151 const origOutputDepth = 4;
152 const inputShape = [1, 2, 2, origOutputDepth];
153 const fSize = 2;
154 const origPad = [[0, 0], [0, 1.1], [0, 1], [0, 0]];
155 const origStride = 2;
156 const dimRoundingMode = 'round';
157 const x = tf.tensor4d([
158 1.24, 1.66, 0.9, 1.39, 0.16, 0.27, 0.42, 0.61, 0.04, 0.17, 0.34,
159 0.28, 0., 0.06, 0.14, 0.24
160 ], inputShape);
161 const w = tf.tensor4d([
162 0., 1., 2., 3., 4., 5., 6., 7., 8.,
163 9., 10., 11., 12., 13., 14., 15.
164 ], [fSize, fSize, origInputDepth, origOutputDepth]);
165 expect(() => tf.conv2dTranspose(x, w, [1, 3, 3, 1], origStride, origPad, dimRoundingMode))
166 .toThrowError();
167 });
168 // Reference (Python) TensorFlow code:
169 //
170 // ```py
171 // import numpy as np
172 // import tensorflow as tf
173 //
174 // tf.enable_eager_execution()
175 //
176 // x = tf.constant(np.array([[
177 // [[-0.14656299], [0.32942239], [-1.90302866]],
178 // [[-0.06487813], [-2.02637842], [-1.83669377]],
179 // [[0.82650784], [-0.89249092], [0.01207666]]
180 // ]]).astype(np.float32))
181 // filt = tf.constant(np.array([
182 // [[[-0.48280062], [1.26770487]], [[-0.83083738], [0.54341856]]],
183 // [[[-0.274904], [0.73111374]], [[2.01885189], [-2.68975237]]]
184 // ]).astype(np.float32))
185 //
186 // with tf.GradientTape() as g:
187 // g.watch(x)
188 // g.watch(filt)
189 // y = tf.keras.backend.conv2d_transpose(x, filt, [1, 4, 4, 2])
190 // print(y)
191 // (x_grad, filt_grad) = g.gradient(y, [x, filt])
192 //
193 // print("x_grad = %s" % x_grad)
194 // print("filt_grad = %s" % filt_grad)
195 // ```
196 it('gradient with clones input=[1,3,3,1] f=[2,2,2,1] s=1 padding=valid', async () => {
197 const inputDepth = 1;
198 const outputDepth = 2;
199 const inputShape = [1, 3, 3, inputDepth];
200 const filterSize = 2;
201 const stride = 1;
202 const pad = 'valid';
203 const filterShape = [filterSize, filterSize, outputDepth, inputDepth];
204 const x = tf.tensor4d([[
205 [[-0.14656299], [0.32942239], [-1.90302866]],
206 [[-0.06487813], [-2.02637842], [-1.83669377]],
207 [[0.82650784], [-0.89249092], [0.01207666]]
208 ]], inputShape);
209 const filt = tf.tensor4d([
210 [[[-0.48280062], [1.26770487]], [[-0.83083738], [0.54341856]]],
211 [[[-0.274904], [0.73111374]], [[2.01885189], [-2.68975237]]]
212 ], filterShape);
213 const grads = tf.grads((x, filter) => tf.conv2dTranspose(x.clone(), filter.clone(), [1, 4, 4, outputDepth], stride, pad)
214 .clone());
215 const dy = tf.ones([1, 4, 4, outputDepth]);
216 const [xGrad, filtGrad] = grads([x, filt], dy);
217 const expectedXGrad = tf.ones([1, 3, 3, 1]).mul(tf.scalar(0.2827947));
218 expectArraysClose(await xGrad.data(), await expectedXGrad.data());
219 const expectedFiltGrad = tf.ones([2, 2, 2, 1]).mul(tf.scalar(-5.70202599));
220 expectArraysClose(await filtGrad.data(), await expectedFiltGrad.data());
221 });
222 // Reference (Python) TensorFlow code:
223 //
224 // ```py
225 // import numpy as np
226 // import tensorflow as tf
227 //
228 // tf.enable_eager_execution()
229 //
230 // x = tf.constant(np.array([
231 // [[[-0.36541713], [-0.53973116]], [[0.01731674], [0.90227772]]]
232 // ]).astype(np.float32))
233 // filt = tf.constant(np.array([
234 // [[[-0.01423461], [-1.00267384]], [[1.61163029], [0.66302646]]],
235 // [[[-0.46900087], [-0.78649444]], [[0.87780536], [-0.84551637]]]
236 // ]).astype(np.float32))
237 //
238 // with tf.GradientTape() as g:
239 // g.watch(x)
240 // g.watch(filt)
241 // y = tf.keras.backend.conv2d_transpose(x, filt, [1, 4, 4, 2], strides=(2,
242 // 2)) print(y)
243 // (x_grad, filt_grad) = g.gradient(y, [x, filt])
244 //
245 // print("x_grad = %s" % -x_grad)
246 // print("filt_grad = %s" % -filt_grad)
247 // ```
248 it('gradient input=[1,2,2,1] f=[2,2,2,1] s=[2,2] padding=valid', async () => {
249 const inputDepth = 1;
250 const outputDepth = 2;
251 const inputShape = [1, 2, 2, inputDepth];
252 const filterSize = 2;
253 const stride = [2, 2];
254 const pad = 'valid';
255 const filterShape = [filterSize, filterSize, outputDepth, inputDepth];
256 const x = tf.tensor4d([[[[-0.36541713], [-0.53973116]], [[0.01731674], [0.90227772]]]], inputShape);
257 const filt = tf.tensor4d([
258 [[[-0.01423461], [-1.00267384]], [[1.61163029], [0.66302646]]],
259 [[[-0.46900087], [-0.78649444]], [[0.87780536], [-0.84551637]]]
260 ], filterShape);
261 const grads = tf.grads((x, filter) => tf.conv2dTranspose(x, filter, [1, 4, 4, outputDepth], stride, pad));
262 const dy = tf.ones([1, 4, 4, outputDepth]).mul(tf.scalar(-1));
263 const [xGrad, filtGrad] = grads([x, filt], dy);
264 const expectedXGrad = tf.ones([1, 2, 2, 1]).mul(tf.scalar(-0.03454196));
265 expectArraysClose(await xGrad.data(), await expectedXGrad.data());
266 expect(xGrad.shape).toEqual([1, 2, 2, 1]);
267 const expectedFiltGrad = tf.ones([2, 2, 2, 1]).mul(tf.scalar(-0.01444618));
268 expectArraysClose(await filtGrad.data(), await expectedFiltGrad.data());
269 expect(filtGrad.shape).toEqual([2, 2, 2, 1]);
270 });
271 // Reference (Python) TensorFlow code:
272 //
273 // ```py
274 // import numpy as np
275 // import tensorflow as tf
276 //
277 // tf.enable_eager_execution()
278 //
279 // x = tf.constant(np.array([[
280 // [[1.52433065], [-0.77053435], [-0.64562341]],
281 // [[0.77962889], [1.58413887], [-0.25581856]],
282 // [[-0.58966221], [0.05411662], [0.70749138]]
283 // ]]).astype(np.float32))
284 // filt = tf.constant(np.array([
285 // [[[0.11178388], [-0.96654977]], [[1.21021296], [0.84121729]]],
286 // [[[0.34968338], [-0.42306114]], [[1.27395733], [-1.09014535]]]
287 // ]).astype(np.float32))
288 //
289 // with tf.GradientTape() as g:
290 // g.watch(x)
291 // g.watch(filt)
292 // y = tf.keras.backend.conv2d_transpose(
293 // x, filt, [1, 3, 3, 2], strides=(1, 1), padding='same')
294 // (x_grad, filt_grad) = g.gradient(y, [x, filt])
295 //
296 // print("x_grad = %s" % x_grad)
297 // print("filt_grad = %s" % filt_grad)
298 // ```
299 it('gradient input=[1,3,3,1] f=[2,2,2,1] s=[1,1] padding=same', async () => {
300 const inputDepth = 1;
301 const outputDepth = 2;
302 const inputShape = [1, 3, 3, inputDepth];
303 const filterSize = 2;
304 const stride = [1, 1];
305 const pad = 'same';
306 const filterShape = [filterSize, filterSize, outputDepth, inputDepth];
307 const x = tf.tensor4d([[
308 [[1.52433065], [-0.77053435], [-0.64562341]],
309 [[0.77962889], [1.58413887], [-0.25581856]],
310 [[-0.58966221], [0.05411662], [0.70749138]]
311 ]], inputShape);
312 const filt = tf.tensor4d([
313 [[[0.11178388], [-0.96654977]], [[1.21021296], [0.84121729]]],
314 [[[0.34968338], [-0.42306114]], [[1.27395733], [-1.09014535]]]
315 ], filterShape);
316 const grads = tf.grads((x, filter) => tf.conv2dTranspose(x, filter, [1, 3, 3, outputDepth], stride, pad));
317 const dy = tf.ones([1, 3, 3, outputDepth]);
318 const [xGrad, filtGrad] = grads([x, filt], dy);
319 expectArraysClose(await xGrad.array(), [[
320 [[1.30709858], [1.30709858], [-0.92814366]],
321 [[1.30709858], [1.30709858], [-0.92814366]],
322 [[1.19666437], [1.19666437], [-0.85476589]]
323 ]]);
324 expectArraysClose(await filtGrad.array(), [
325 [[[2.38806788], [2.38806788]], [[2.58201847], [2.58201847]]],
326 [[[2.2161221], [2.2161221]], [[3.11756406], [3.11756406]]]
327 ]);
328 });
329 it('gradient input=[1,3,3,1] f=[2,2,2,1] s=[1,1] p=explicit', async () => {
330 const inputDepth = 1;
331 const outputDepth = 2;
332 const inputShape = [1, 3, 3, inputDepth];
333 const filterSize = 2;
334 const stride = [1, 1];
335 const pad = [[0, 0], [0, 1], [0, 1], [0, 0]];
336 const filterShape = [filterSize, filterSize, outputDepth, inputDepth];
337 const x = tf.tensor4d([[
338 [[1.52433065], [-0.77053435], [-0.64562341]],
339 [[0.77962889], [1.58413887], [-0.25581856]],
340 [[-0.58966221], [0.05411662], [0.70749138]]
341 ]], inputShape);
342 const filt = tf.tensor4d([
343 [[[0.11178388], [-0.96654977]], [[1.21021296], [0.84121729]]],
344 [[[0.34968338], [-0.42306114]], [[1.27395733], [-1.09014535]]]
345 ], filterShape);
346 const grads = tf.grads((x, filter) => tf.conv2dTranspose(x, filter, [1, 3, 3, outputDepth], stride, pad));
347 const dy = tf.ones([1, 3, 3, outputDepth]);
348 const [xGrad, filtGrad] = grads([x, filt], dy);
349 expectArraysClose(await xGrad.array(), [[
350 [[1.30709858], [1.30709858], [-0.92814366]],
351 [[1.30709858], [1.30709858], [-0.92814366]],
352 [[1.19666437], [1.19666437], [-0.85476589]]
353 ]]);
354 expectArraysClose(await filtGrad.array(), [
355 [[[2.38806788], [2.38806788]], [[2.58201847], [2.58201847]]],
356 [[[2.2161221], [2.2161221]], [[3.11756406], [3.11756406]]]
357 ]);
358 });
359 // Reference (Python) TensorFlow code:
360 //
361 // ```py
362 // import numpy as np
363 // import tensorflow as tf
364 //
365 // tf.enable_eager_execution()
366 //
367 // x = tf.constant(np.array([[
368 // [[1.52433065], [-0.77053435]], [[0.77962889], [1.58413887]],
369 // ]]).astype(np.float32))
370 // filt = tf.constant(np.array([
371 // [[[0.11178388], [-0.96654977]], [[1.21021296], [0.84121729]]],
372 // [[[0.34968338], [-0.42306114]], [[1.27395733], [-1.09014535]]]
373 // ]).astype(np.float32))
374 //
375 // with tf.GradientTape() as g:
376 // g.watch(x)
377 // g.watch(filt)
378 // y = tf.keras.backend.conv2d_transpose(
379 // x, filt, [1, 3, 3, 2], strides=(2, 2), padding='same')
380 // print(y.shape)
381 // (x_grad, filt_grad) = g.gradient(y, [x, filt])
382 //
383 // print("x_grad = %s" % x_grad)
384 // print("filt_grad = %s" % filt_grad)
385 // ```
386 it('gradient input=[1,2,2,2] f=[2,2,2,1] s=[2,2] padding=same', async () => {
387 const inputDepth = 2;
388 const outputDepth = 2;
389 const inputShape = [1, 2, 2, inputDepth];
390 const filterSize = 2;
391 const stride = [2, 2];
392 const pad = 'same';
393 const filterShape = [filterSize, filterSize, outputDepth, inputDepth];
394 const x = tf.tensor4d([[
395 [[-1.81506593, 1.00900095], [-0.05199118, 0.26311377]],
396 [[-1.18469792, -0.34780521], [2.04971242, -0.65154692]]
397 ]], inputShape);
398 const filt = tf.tensor4d([
399 [
400 [[0.19529686, -0.79594708], [0.70314057, -0.06081263]],
401 [[0.28724744, 0.88522715], [-0.51824096, -0.97120989]]
402 ],
403 [
404 [[0.51872197, -1.17569193], [1.28316791, -0.81225092]],
405 [[-0.44221532, 0.70058174], [-0.4849217, 0.03806348]]
406 ]
407 ], filterShape);
408 const grads = tf.grads((x, filter) => tf.conv2dTranspose(x, filter, [1, 3, 3, outputDepth], stride, pad));
409 const dy = tf.ones([1, 3, 3, outputDepth]);
410 const [xGrad, filtGrad] = grads([x, filt], dy);
411 expectArraysClose(await xGrad.data(), [
412 1.54219678, -2.19204008, 2.70032732, -2.84470257, 0.66744391, -0.94274245,
413 0.89843743, -0.85675972
414 ]);
415 expect(xGrad.shape).toEqual([1, 2, 2, 2]);
416 expectArraysClose(await filtGrad.data(), [
417 -1.00204261, 0.27276259, -1.00204261, 0.27276259, -2.99976385, 0.66119574,
418 -2.99976385, 0.66119574, -1.86705711, 1.27211472, -1.86705711, 1.27211472,
419 -1.81506593, 1.00900095, -1.81506593, 1.00900095
420 ]);
421 expect(filtGrad.shape).toEqual([2, 2, 2, 2]);
422 });
423 it('throws when x is not rank 3', () => {
424 const origInputDepth = 1;
425 const origOutputDepth = 1;
426 const fSize = 2;
427 const origPad = 0;
428 const origStride = 1;
429 // tslint:disable-next-line:no-any
430 const x = tf.tensor2d([2, 2], [2, 1]);
431 const w = tf.tensor4d([3, 1, 5, 0], [fSize, fSize, origInputDepth, origOutputDepth]);
432 expect(() => tf.conv2dTranspose(x, w, [2, 2, 1], origStride, origPad))
433 .toThrowError();
434 });
435 it('throws when weights is not rank 4', () => {
436 const origInputDepth = 1;
437 const origOutputDepth = 1;
438 const inputShape = [1, 1, origOutputDepth];
439 const fSize = 2;
440 const origPad = 0;
441 const origStride = 1;
442 const x = tf.tensor3d([2], inputShape);
443 // tslint:disable-next-line:no-any
444 const w = tf.tensor3d([3, 1, 5, 0], [fSize, fSize, origInputDepth]);
445 expect(() => tf.conv2dTranspose(x, w, [2, 2, 1], origStride, origPad))
446 .toThrowError();
447 });
448 it('throws when x depth does not match weights original output depth', () => {
449 const origInputDepth = 1;
450 const origOutputDepth = 2;
451 const wrongOrigOutputDepth = 3;
452 const inputShape = [1, 1, origOutputDepth];
453 const fSize = 2;
454 const origPad = 0;
455 const origStride = 1;
456 const x = tf.tensor3d([2, 2], inputShape);
457 const w = tf.randomNormal([fSize, fSize, origInputDepth, wrongOrigOutputDepth]);
458 expect(() => tf.conv2dTranspose(x, w, [2, 2, 2], origStride, origPad))
459 .toThrowError();
460 });
461 it('throws when passed x as a non-tensor', () => {
462 const origInputDepth = 1;
463 const origOutputDepth = 1;
464 const fSize = 2;
465 const origPad = 0;
466 const origStride = 1;
467 const w = tf.tensor4d([3, 1, 5, 0], [fSize, fSize, origInputDepth, origOutputDepth]);
468 expect(() => tf.conv2dTranspose({}, w, [2, 2, 1], origStride, origPad))
469 .toThrowError(/Argument 'x' passed to 'conv2dTranspose' must be a Tensor/);
470 });
471 it('throws when passed filter as a non-tensor', () => {
472 const origOutputDepth = 1;
473 const inputShape = [1, 1, origOutputDepth];
474 const origPad = 0;
475 const origStride = 1;
476 const x = tf.tensor3d([2], inputShape);
477 expect(() => tf.conv2dTranspose(x, {}, [2, 2, 1], origStride, origPad))
478 .toThrowError(/Argument 'filter' passed to 'conv2dTranspose' must be a Tensor/);
479 });
480 it('accepts a tensor-like object', async () => {
481 const origPad = 0;
482 const origStride = 1;
483 const x = [[[2]]]; // 1x1x1
484 const w = [[[[3]], [[1]]], [[[5]], [[0]]]]; // 2x2x1x1
485 const result = tf.conv2dTranspose(x, w, [2, 2, 1], origStride, origPad);
486 const expected = [6, 2, 10, 0];
487 expect(result.shape).toEqual([2, 2, 1]);
488 expectArraysClose(await result.data(), expected);
489 });
490});
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CAAC,OAAO,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACxC,iBAAiB,CAAC,MAAM,MAAM,CAAC,IAAI,EAAE,EAAE,QAAQ,CAAC,CAAC;IACnD,CAAC,CAAC,CAAC;AACL,CAAC,CAAC,CAAC","sourcesContent":["/**\n * @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';\nimport {Rank} from '../types';\n\ndescribeWithFlags('conv2dTranspose', ALL_ENVS, () => {\n  it('input=2x2x1,d2=1,f=2,s=1,p=0', async () => {\n    const origInputDepth = 1;\n    const origOutputDepth = 1;\n    const inputShape: [number, number, number] = [1, 1, origOutputDepth];\n    const fSize = 2;\n    const origPad = 0;\n    const origStride = 1;\n\n    const x = tf.tensor3d([2], inputShape);\n    const w = tf.tensor4d(\n        [3, 1, 5, 0], [fSize, fSize, origInputDepth, origOutputDepth]);\n\n    const result = tf.conv2dTranspose(x, w, [2, 2, 1], origStride, origPad);\n    const expected = [6, 2, 10, 0];\n\n    expect(result.shape).toEqual([2, 2, 1]);\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('input=3x3x1,d2=1,f=2,s=2,p=same', async () => {\n    const origInputDepth = 1;\n    const origOutputDepth = 4;\n    const inputShape: [number, number, number, number] =\n        [1, 2, 2, origOutputDepth];\n    const fSize = 2;\n    const origPad = 'same';\n    const origStride = 2;\n\n    const x = tf.tensor4d(\n        [\n          1.24, 1.66, 0.9, 1.39, 0.16, 0.27, 0.42, 0.61, 0.04, 0.17, 0.34, 0.28,\n          0., 0.06, 0.14, 0.24\n        ],\n        inputShape);\n    const w = tf.tensor4d(\n        [0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15.],\n        [fSize, fSize, origInputDepth, origOutputDepth]);\n\n    const result = tf.conv2dTranspose(x, w, [1, 3, 3, 1], origStride, origPad);\n    const expected = [7.63, 28.39, 2.94, 49.15, 69.91, 14.62, 1.69, 5.01, 1.06];\n\n    expect(result.shape).toEqual([1, 3, 3, 1]);\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('input=3x3x1,d2=1,f=2,s=2,p=explicit', async () => {\n    const origInputDepth = 1;\n    const origOutputDepth = 4;\n    const inputShape: [number, number, number, number] =\n        [1, 2, 2, origOutputDepth];\n    const fSize = 2;\n    const origPad =\n        [[0, 0], [0, 1], [0, 1], [0, 0]] as tf.backend_util.ExplicitPadding;\n    const origStride = 2;\n\n    const x = tf.tensor4d(\n        [\n          1.24, 1.66, 0.9, 1.39, 0.16, 0.27, 0.42, 0.61, 0.04, 0.17, 0.34, 0.28,\n          0., 0.06, 0.14, 0.24\n        ],\n        inputShape);\n    const w = tf.tensor4d(\n        [0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15.],\n        [fSize, fSize, origInputDepth, origOutputDepth]);\n\n    const result = tf.conv2dTranspose(x, w, [1, 3, 3, 1], origStride, origPad);\n    const expected = [7.63, 28.39, 2.94, 49.15, 69.91, 14.62, 1.69, 5.01, 1.06];\n\n    expect(result.shape).toEqual([1, 3, 3, 1]);\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('input=2x2x1,d2=1,f=2,s=1,p=0, batch=2', async () => {\n    const origInputDepth = 1;\n    const origOutputDepth = 1;\n    const inputShape: [number, number, number, number] =\n        [2, 1, 1, origOutputDepth];\n    const fSize = 2;\n    const origPad = 0;\n    const origStride = 1;\n\n    const x = tf.tensor4d([2, 3], inputShape);\n    const w = tf.tensor4d(\n        [3, 1, 5, 0], [fSize, fSize, origInputDepth, origOutputDepth]);\n\n    const result = tf.conv2dTranspose(x, w, [2, 2, 2, 1], origStride, origPad);\n    const expected = [6, 2, 10, 0, 9, 3, 15, 0];\n\n    expect(result.shape).toEqual([2, 2, 2, 1]);\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('input=2x2x2,output=3x3x2,f=2,s=2,inDepth=2,p=same', async () => {\n    const origInputDepth = 2;\n    const origOutputDepth = 2;\n    const inputShape: [number, number, number, number] =\n        [1, 2, 2, origOutputDepth];\n    const fSize = 2;\n    const origPad = 'same';\n    const origStride = 2;\n\n    const x = tf.tensor4d([0., 1., 2., 3., 4., 5., 6., 7.], inputShape);\n    const w = tf.tensor4d(\n        [0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15.],\n        [fSize, fSize, origInputDepth, origOutputDepth]);\n\n    const result = tf.conv2dTranspose(\n        x, w, [1, 3, 3, origInputDepth], origStride, origPad);\n    const expected =\n        [1, 3, 5, 7, 3, 13, 9, 11, 13, 15, 43, 53, 5, 23, 41, 59, 7, 33.];\n\n    expect(result.shape).toEqual([1, 3, 3, origInputDepth]);\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('throws when dimRoundingMode is set and pad is same', async () => {\n    const origInputDepth = 1;\n    const origOutputDepth = 4;\n    const inputShape: [number, number, number, number] =\n        [1, 2, 2, origOutputDepth];\n    const fSize = 2;\n    const origPad = 'same';\n    const origStride = 2;\n    const dimRoundingMode = 'round';\n\n    const x = tf.tensor4d(\n        [\n          1.24, 1.66, 0.9, 1.39, 0.16, 0.27, 0.42, 0.61, 0.04, 0.17, 0.34, 0.28,\n          0., 0.06, 0.14, 0.24\n        ],\n        inputShape);\n    const w = tf.tensor4d(\n        [0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15.],\n        [fSize, fSize, origInputDepth, origOutputDepth]);\n\n    expect(\n        () => tf.conv2dTranspose(\n            x, w, [1, 3, 3, 1], origStride, origPad, dimRoundingMode))\n        .toThrowError();\n  });\n\n  it('throws when dimRoundingMode is set and pad is valid', async () => {\n    const origInputDepth = 1;\n    const origOutputDepth = 4;\n    const inputShape: [number, number, number, number] =\n        [1, 2, 2, origOutputDepth];\n    const fSize = 2;\n    const origPad = 'valid';\n    const origStride = 2;\n    const dimRoundingMode = 'round';\n\n    const x = tf.tensor4d(\n        [\n          1.24, 1.66, 0.9, 1.39, 0.16, 0.27, 0.42, 0.61, 0.04, 0.17, 0.34, 0.28,\n          0., 0.06, 0.14, 0.24\n        ],\n        inputShape);\n    const w = tf.tensor4d(\n        [0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15.],\n        [fSize, fSize, origInputDepth, origOutputDepth]);\n\n    expect(\n        () => tf.conv2dTranspose(\n            x, w, [1, 3, 3, 1], origStride, origPad, dimRoundingMode))\n        .toThrowError();\n  });\n\n  it('throws when dimRoundingMode is set and pad is a non-integer number',\n     async () => {\n       const origInputDepth = 1;\n       const origOutputDepth = 4;\n       const inputShape: [number, number, number, number] =\n           [1, 2, 2, origOutputDepth];\n       const fSize = 2;\n       const origPad = 1.2;\n       const origStride = 2;\n       const dimRoundingMode = 'round';\n\n       const x = tf.tensor4d(\n           [\n             1.24, 1.66, 0.9, 1.39, 0.16, 0.27, 0.42, 0.61, 0.04, 0.17, 0.34,\n             0.28, 0., 0.06, 0.14, 0.24\n           ],\n           inputShape);\n       const w = tf.tensor4d(\n           [\n             0., 1., 2., 3., 4., 5., 6., 7., 8.,\n             9., 10., 11., 12., 13., 14., 15.\n           ],\n           [fSize, fSize, origInputDepth, origOutputDepth]);\n\n       expect(\n           () => tf.conv2dTranspose(\n              x, w, [1, 3, 3, 1], origStride, origPad, dimRoundingMode))\n           .toThrowError();\n     });\n\n  it('throws when dimRoundingMode is set and pad is explicit by non-integer ' +\n         'number',\n     async () => {\n       const origInputDepth = 1;\n       const origOutputDepth = 4;\n       const inputShape: [number, number, number, number] =\n           [1, 2, 2, origOutputDepth];\n       const fSize = 2;\n       const origPad = [[0, 0], [0, 1.1], [0, 1], [0, 0]] as\n           tf.backend_util.ExplicitPadding;\n       const origStride = 2;\n       const dimRoundingMode = 'round';\n\n       const x = tf.tensor4d(\n           [\n             1.24, 1.66, 0.9, 1.39, 0.16, 0.27, 0.42, 0.61, 0.04, 0.17, 0.34,\n             0.28, 0., 0.06, 0.14, 0.24\n           ],\n           inputShape);\n       const w = tf.tensor4d(\n           [\n             0., 1., 2., 3., 4., 5., 6., 7., 8.,\n             9., 10., 11., 12., 13., 14., 15.\n           ],\n           [fSize, fSize, origInputDepth, origOutputDepth]);\n\n       expect(\n           () => tf.conv2dTranspose(\n              x, w, [1, 3, 3, 1], origStride, origPad, dimRoundingMode))\n           .toThrowError();\n     });\n\n  // Reference (Python) TensorFlow code:\n  //\n  // ```py\n  // import numpy as np\n  // import tensorflow as tf\n  //\n  // tf.enable_eager_execution()\n  //\n  // x = tf.constant(np.array([[\n  //     [[-0.14656299], [0.32942239], [-1.90302866]],\n  //     [[-0.06487813], [-2.02637842], [-1.83669377]],\n  //     [[0.82650784], [-0.89249092], [0.01207666]]\n  // ]]).astype(np.float32))\n  // filt = tf.constant(np.array([\n  //     [[[-0.48280062], [1.26770487]], [[-0.83083738], [0.54341856]]],\n  //     [[[-0.274904], [0.73111374]], [[2.01885189], [-2.68975237]]]\n  // ]).astype(np.float32))\n  //\n  // with tf.GradientTape() as g:\n  //   g.watch(x)\n  //   g.watch(filt)\n  //   y = tf.keras.backend.conv2d_transpose(x, filt, [1, 4, 4, 2])\n  //   print(y)\n  // (x_grad, filt_grad) = g.gradient(y, [x, filt])\n  //\n  // print(\"x_grad = %s\" % x_grad)\n  // print(\"filt_grad = %s\" % filt_grad)\n  // ```\n  it('gradient with clones input=[1,3,3,1] f=[2,2,2,1] s=1 padding=valid',\n     async () => {\n       const inputDepth = 1;\n       const outputDepth = 2;\n       const inputShape: [number, number, number, number] =\n           [1, 3, 3, inputDepth];\n       const filterSize = 2;\n       const stride = 1;\n       const pad = 'valid';\n\n       const filterShape: [number, number, number, number] =\n           [filterSize, filterSize, outputDepth, inputDepth];\n\n       const x = tf.tensor4d(\n           [[\n             [[-0.14656299], [0.32942239], [-1.90302866]],\n             [[-0.06487813], [-2.02637842], [-1.83669377]],\n             [[0.82650784], [-0.89249092], [0.01207666]]\n           ]],\n           inputShape);\n       const filt = tf.tensor4d(\n           [\n             [[[-0.48280062], [1.26770487]], [[-0.83083738], [0.54341856]]],\n             [[[-0.274904], [0.73111374]], [[2.01885189], [-2.68975237]]]\n           ],\n           filterShape);\n\n       const grads = tf.grads(\n           (x: tf.Tensor4D, filter: tf.Tensor4D) =>\n               tf.conv2dTranspose(\n                     x.clone(), filter.clone(), [1, 4, 4, outputDepth], stride,\n                     pad)\n                   .clone());\n       const dy = tf.ones([1, 4, 4, outputDepth]);\n       const [xGrad, filtGrad] = grads([x, filt], dy);\n\n       const expectedXGrad = tf.ones([1, 3, 3, 1]).mul(tf.scalar(0.2827947));\n       expectArraysClose(await xGrad.data(), await expectedXGrad.data());\n       const expectedFiltGrad =\n           tf.ones([2, 2, 2, 1]).mul(tf.scalar(-5.70202599));\n       expectArraysClose(await filtGrad.data(), await expectedFiltGrad.data());\n     });\n\n  // Reference (Python) TensorFlow code:\n  //\n  // ```py\n  // import numpy as np\n  // import tensorflow as tf\n  //\n  // tf.enable_eager_execution()\n  //\n  // x = tf.constant(np.array([\n  //     [[[-0.36541713], [-0.53973116]], [[0.01731674], [0.90227772]]]\n  // ]).astype(np.float32))\n  // filt = tf.constant(np.array([\n  //     [[[-0.01423461], [-1.00267384]], [[1.61163029], [0.66302646]]],\n  //     [[[-0.46900087], [-0.78649444]], [[0.87780536], [-0.84551637]]]\n  // ]).astype(np.float32))\n  //\n  // with tf.GradientTape() as g:\n  //   g.watch(x)\n  //   g.watch(filt)\n  //   y = tf.keras.backend.conv2d_transpose(x, filt, [1, 4, 4, 2], strides=(2,\n  //   2)) print(y)\n  // (x_grad, filt_grad) = g.gradient(y, [x, filt])\n  //\n  // print(\"x_grad = %s\" % -x_grad)\n  // print(\"filt_grad = %s\" % -filt_grad)\n  // ```\n  it('gradient input=[1,2,2,1] f=[2,2,2,1] s=[2,2] padding=valid', async () => {\n    const inputDepth = 1;\n    const outputDepth = 2;\n    const inputShape: [number, number, number, number] = [1, 2, 2, inputDepth];\n    const filterSize = 2;\n    const stride: [number, number] = [2, 2];\n    const pad = 'valid';\n\n    const filterShape: [number, number, number, number] =\n        [filterSize, filterSize, outputDepth, inputDepth];\n\n    const x = tf.tensor4d(\n        [[[[-0.36541713], [-0.53973116]], [[0.01731674], [0.90227772]]]],\n        inputShape);\n    const filt = tf.tensor4d(\n        [\n          [[[-0.01423461], [-1.00267384]], [[1.61163029], [0.66302646]]],\n          [[[-0.46900087], [-0.78649444]], [[0.87780536], [-0.84551637]]]\n        ],\n        filterShape);\n\n    const grads = tf.grads(\n        (x: tf.Tensor4D, filter: tf.Tensor4D) =>\n            tf.conv2dTranspose(x, filter, [1, 4, 4, outputDepth], stride, pad));\n    const dy = tf.ones([1, 4, 4, outputDepth]).mul(tf.scalar(-1));\n    const [xGrad, filtGrad] = grads([x, filt], dy);\n\n    const expectedXGrad = tf.ones([1, 2, 2, 1]).mul(tf.scalar(-0.03454196));\n    expectArraysClose(await xGrad.data(), await expectedXGrad.data());\n    expect(xGrad.shape).toEqual([1, 2, 2, 1]);\n\n    const expectedFiltGrad = tf.ones([2, 2, 2, 1]).mul(tf.scalar(-0.01444618));\n    expectArraysClose(await filtGrad.data(), await expectedFiltGrad.data());\n    expect(filtGrad.shape).toEqual([2, 2, 2, 1]);\n  });\n\n  // Reference (Python) TensorFlow code:\n  //\n  // ```py\n  // import numpy as np\n  // import tensorflow as tf\n  //\n  // tf.enable_eager_execution()\n  //\n  // x = tf.constant(np.array([[\n  //     [[1.52433065], [-0.77053435], [-0.64562341]],\n  //     [[0.77962889], [1.58413887], [-0.25581856]],\n  //     [[-0.58966221], [0.05411662], [0.70749138]]\n  // ]]).astype(np.float32))\n  // filt = tf.constant(np.array([\n  //     [[[0.11178388], [-0.96654977]], [[1.21021296], [0.84121729]]],\n  //     [[[0.34968338], [-0.42306114]], [[1.27395733], [-1.09014535]]]\n  // ]).astype(np.float32))\n  //\n  // with tf.GradientTape() as g:\n  //   g.watch(x)\n  //   g.watch(filt)\n  //   y = tf.keras.backend.conv2d_transpose(\n  //       x, filt, [1, 3, 3, 2], strides=(1, 1), padding='same')\n  // (x_grad, filt_grad) = g.gradient(y, [x, filt])\n  //\n  // print(\"x_grad = %s\" % x_grad)\n  // print(\"filt_grad = %s\" % filt_grad)\n  // ```\n  it('gradient input=[1,3,3,1] f=[2,2,2,1] s=[1,1] padding=same', async () => {\n    const inputDepth = 1;\n    const outputDepth = 2;\n    const inputShape: [number, number, number, number] = [1, 3, 3, inputDepth];\n    const filterSize = 2;\n    const stride: [number, number] = [1, 1];\n    const pad = 'same';\n\n    const filterShape: [number, number, number, number] =\n        [filterSize, filterSize, outputDepth, inputDepth];\n\n    const x = tf.tensor4d(\n        [[\n          [[1.52433065], [-0.77053435], [-0.64562341]],\n          [[0.77962889], [1.58413887], [-0.25581856]],\n          [[-0.58966221], [0.05411662], [0.70749138]]\n        ]],\n        inputShape);\n    const filt = tf.tensor4d(\n        [\n          [[[0.11178388], [-0.96654977]], [[1.21021296], [0.84121729]]],\n          [[[0.34968338], [-0.42306114]], [[1.27395733], [-1.09014535]]]\n        ],\n        filterShape);\n\n    const grads = tf.grads(\n        (x: tf.Tensor4D, filter: tf.Tensor4D) =>\n            tf.conv2dTranspose(x, filter, [1, 3, 3, outputDepth], stride, pad));\n    const dy = tf.ones([1, 3, 3, outputDepth]);\n    const [xGrad, filtGrad] = grads([x, filt], dy);\n\n    expectArraysClose(await xGrad.array(), [[\n                        [[1.30709858], [1.30709858], [-0.92814366]],\n                        [[1.30709858], [1.30709858], [-0.92814366]],\n                        [[1.19666437], [1.19666437], [-0.85476589]]\n                      ]]);\n    expectArraysClose(await filtGrad.array(), [\n      [[[2.38806788], [2.38806788]], [[2.58201847], [2.58201847]]],\n      [[[2.2161221], [2.2161221]], [[3.11756406], [3.11756406]]]\n    ]);\n  });\n\n  it('gradient input=[1,3,3,1] f=[2,2,2,1] s=[1,1] p=explicit', async () => {\n    const inputDepth = 1;\n    const outputDepth = 2;\n    const inputShape: [number, number, number, number] = [1, 3, 3, inputDepth];\n    const filterSize = 2;\n    const stride: [number, number] = [1, 1];\n    const pad =\n        [[0, 0], [0, 1], [0, 1], [0, 0]] as tf.backend_util.ExplicitPadding;\n\n    const filterShape: [number, number, number, number] =\n        [filterSize, filterSize, outputDepth, inputDepth];\n\n    const x = tf.tensor4d(\n        [[\n          [[1.52433065], [-0.77053435], [-0.64562341]],\n          [[0.77962889], [1.58413887], [-0.25581856]],\n          [[-0.58966221], [0.05411662], [0.70749138]]\n        ]],\n        inputShape);\n    const filt = tf.tensor4d(\n        [\n          [[[0.11178388], [-0.96654977]], [[1.21021296], [0.84121729]]],\n          [[[0.34968338], [-0.42306114]], [[1.27395733], [-1.09014535]]]\n        ],\n        filterShape);\n\n    const grads = tf.grads(\n        (x: tf.Tensor4D, filter: tf.Tensor4D) =>\n            tf.conv2dTranspose(x, filter, [1, 3, 3, outputDepth], stride, pad));\n    const dy = tf.ones([1, 3, 3, outputDepth]);\n    const [xGrad, filtGrad] = grads([x, filt], dy);\n\n    expectArraysClose(await xGrad.array(), [[\n                        [[1.30709858], [1.30709858], [-0.92814366]],\n                        [[1.30709858], [1.30709858], [-0.92814366]],\n                        [[1.19666437], [1.19666437], [-0.85476589]]\n                      ]]);\n    expectArraysClose(await filtGrad.array(), [\n      [[[2.38806788], [2.38806788]], [[2.58201847], [2.58201847]]],\n      [[[2.2161221], [2.2161221]], [[3.11756406], [3.11756406]]]\n    ]);\n  });\n\n  // Reference (Python) TensorFlow code:\n  //\n  // ```py\n  // import numpy as np\n  // import tensorflow as tf\n  //\n  // tf.enable_eager_execution()\n  //\n  // x = tf.constant(np.array([[\n  //     [[1.52433065], [-0.77053435]], [[0.77962889], [1.58413887]],\n  // ]]).astype(np.float32))\n  // filt = tf.constant(np.array([\n  //     [[[0.11178388], [-0.96654977]], [[1.21021296], [0.84121729]]],\n  //     [[[0.34968338], [-0.42306114]], [[1.27395733], [-1.09014535]]]\n  // ]).astype(np.float32))\n  //\n  // with tf.GradientTape() as g:\n  //   g.watch(x)\n  //   g.watch(filt)\n  //   y = tf.keras.backend.conv2d_transpose(\n  //       x, filt, [1, 3, 3, 2], strides=(2, 2), padding='same')\n  //   print(y.shape)\n  // (x_grad, filt_grad) = g.gradient(y, [x, filt])\n  //\n  // print(\"x_grad = %s\" % x_grad)\n  // print(\"filt_grad = %s\" % filt_grad)\n  // ```\n  it('gradient input=[1,2,2,2] f=[2,2,2,1] s=[2,2] padding=same', async () => {\n    const inputDepth = 2;\n    const outputDepth = 2;\n    const inputShape: [number, number, number, number] = [1, 2, 2, inputDepth];\n    const filterSize = 2;\n    const stride: [number, number] = [2, 2];\n    const pad = 'same';\n\n    const filterShape: [number, number, number, number] =\n        [filterSize, filterSize, outputDepth, inputDepth];\n\n    const x = tf.tensor4d(\n        [[\n          [[-1.81506593, 1.00900095], [-0.05199118, 0.26311377]],\n          [[-1.18469792, -0.34780521], [2.04971242, -0.65154692]]\n        ]],\n        inputShape);\n    const filt = tf.tensor4d(\n        [\n          [\n            [[0.19529686, -0.79594708], [0.70314057, -0.06081263]],\n            [[0.28724744, 0.88522715], [-0.51824096, -0.97120989]]\n          ],\n          [\n            [[0.51872197, -1.17569193], [1.28316791, -0.81225092]],\n            [[-0.44221532, 0.70058174], [-0.4849217, 0.03806348]]\n          ]\n        ],\n        filterShape);\n\n    const grads = tf.grads(\n        (x: tf.Tensor4D, filter: tf.Tensor4D) =>\n            tf.conv2dTranspose(x, filter, [1, 3, 3, outputDepth], stride, pad));\n    const dy = tf.ones([1, 3, 3, outputDepth]);\n    const [xGrad, filtGrad] = grads([x, filt], dy);\n\n    expectArraysClose(await xGrad.data(), [\n      1.54219678, -2.19204008, 2.70032732, -2.84470257, 0.66744391, -0.94274245,\n      0.89843743, -0.85675972\n    ]);\n    expect(xGrad.shape).toEqual([1, 2, 2, 2]);\n    expectArraysClose(await filtGrad.data(), [\n      -1.00204261, 0.27276259, -1.00204261, 0.27276259, -2.99976385, 0.66119574,\n      -2.99976385, 0.66119574, -1.86705711, 1.27211472, -1.86705711, 1.27211472,\n      -1.81506593, 1.00900095, -1.81506593, 1.00900095\n    ]);\n    expect(filtGrad.shape).toEqual([2, 2, 2, 2]);\n  });\n\n  it('throws when x is not rank 3', () => {\n    const origInputDepth = 1;\n    const origOutputDepth = 1;\n    const fSize = 2;\n    const origPad = 0;\n    const origStride = 1;\n\n    // tslint:disable-next-line:no-any\n    const x: any = tf.tensor2d([2, 2], [2, 1]);\n    const w = tf.tensor4d(\n        [3, 1, 5, 0], [fSize, fSize, origInputDepth, origOutputDepth]);\n\n    expect(() => tf.conv2dTranspose(x, w, [2, 2, 1], origStride, origPad))\n        .toThrowError();\n  });\n\n  it('throws when weights is not rank 4', () => {\n    const origInputDepth = 1;\n    const origOutputDepth = 1;\n    const inputShape: [number, number, number] = [1, 1, origOutputDepth];\n    const fSize = 2;\n    const origPad = 0;\n    const origStride = 1;\n\n    const x = tf.tensor3d([2], inputShape);\n    // tslint:disable-next-line:no-any\n    const w: any = tf.tensor3d([3, 1, 5, 0], [fSize, fSize, origInputDepth]);\n\n    expect(() => tf.conv2dTranspose(x, w, [2, 2, 1], origStride, origPad))\n        .toThrowError();\n  });\n\n  it('throws when x depth does not match weights original output depth', () => {\n    const origInputDepth = 1;\n    const origOutputDepth = 2;\n    const wrongOrigOutputDepth = 3;\n    const inputShape: [number, number, number] = [1, 1, origOutputDepth];\n    const fSize = 2;\n    const origPad = 0;\n    const origStride = 1;\n\n    const x = tf.tensor3d([2, 2], inputShape);\n    const w = tf.randomNormal<Rank.R4>(\n        [fSize, fSize, origInputDepth, wrongOrigOutputDepth]);\n\n    expect(() => tf.conv2dTranspose(x, w, [2, 2, 2], origStride, origPad))\n        .toThrowError();\n  });\n\n  it('throws when passed x as a non-tensor', () => {\n    const origInputDepth = 1;\n    const origOutputDepth = 1;\n    const fSize = 2;\n    const origPad = 0;\n    const origStride = 1;\n\n    const w = tf.tensor4d(\n        [3, 1, 5, 0], [fSize, fSize, origInputDepth, origOutputDepth]);\n\n    expect(\n        () => tf.conv2dTranspose(\n            {} as tf.Tensor3D, w, [2, 2, 1], origStride, origPad))\n        .toThrowError(\n            /Argument 'x' passed to 'conv2dTranspose' must be a Tensor/);\n  });\n\n  it('throws when passed filter as a non-tensor', () => {\n    const origOutputDepth = 1;\n    const inputShape: [number, number, number] = [1, 1, origOutputDepth];\n    const origPad = 0;\n    const origStride = 1;\n\n    const x = tf.tensor3d([2], inputShape);\n\n    expect(\n        () => tf.conv2dTranspose(\n            x, {} as tf.Tensor4D, [2, 2, 1], origStride, origPad))\n        .toThrowError(\n            /Argument 'filter' passed to 'conv2dTranspose' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const origPad = 0;\n    const origStride = 1;\n\n    const x = [[[2]]];                           // 1x1x1\n    const w = [[[[3]], [[1]]], [[[5]], [[0]]]];  // 2x2x1x1\n\n    const result = tf.conv2dTranspose(x, w, [2, 2, 1], origStride, origPad);\n    const expected = [6, 2, 10, 0];\n\n    expect(result.shape).toEqual([2, 2, 1]);\n    expectArraysClose(await result.data(), expected);\n  });\n});\n"]}
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