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1/**
2 * @license
3 * Copyright 2020 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, expectArraysEqual } from '../test_util';
20describeWithFlags('onesLike', ALL_ENVS, () => {
21 it('1D default dtype', async () => {
22 const a = tf.tensor1d([1, 2, 3]);
23 const b = tf.onesLike(a);
24 expect(b.dtype).toBe('float32');
25 expect(b.shape).toEqual([3]);
26 expectArraysClose(await b.data(), [1, 1, 1]);
27 });
28 it('chainable 1D default dtype', async () => {
29 const a = tf.tensor1d([1, 2, 3]);
30 const b = a.onesLike();
31 expect(b.dtype).toBe('float32');
32 expect(b.shape).toEqual([3]);
33 expectArraysClose(await b.data(), [1, 1, 1]);
34 });
35 it('1D float32 dtype', async () => {
36 const a = tf.tensor1d([1, 2, 3], 'float32');
37 const b = tf.onesLike(a);
38 expect(b.dtype).toBe('float32');
39 expect(b.shape).toEqual([3]);
40 expectArraysClose(await b.data(), [1, 1, 1]);
41 });
42 it('1D int32 dtype', async () => {
43 const a = tf.tensor1d([1, 2, 3], 'int32');
44 const b = tf.onesLike(a);
45 expect(b.dtype).toBe('int32');
46 expect(b.shape).toEqual([3]);
47 expectArraysEqual(await b.data(), [1, 1, 1]);
48 });
49 it('1D bool dtype', async () => {
50 const a = tf.tensor1d([1, 2, 3], 'bool');
51 const b = tf.onesLike(a);
52 expect(b.dtype).toBe('bool');
53 expect(b.shape).toEqual([3]);
54 expectArraysEqual(await b.data(), [1, 1, 1]);
55 });
56 it('1D complex dtype', async () => {
57 const real = tf.tensor1d([1, 2, 3], 'float32');
58 const imag = tf.tensor1d([1, 2, 3], 'float32');
59 const a = tf.complex(real, imag);
60 const b = tf.onesLike(a);
61 expect(b.dtype).toBe('complex64');
62 expect(b.shape).toEqual([3]);
63 expectArraysEqual(await b.data(), [1, 0, 1, 0, 1, 0]);
64 });
65 it('2D default dtype', async () => {
66 const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);
67 const b = tf.onesLike(a);
68 expect(b.dtype).toBe('float32');
69 expect(b.shape).toEqual([2, 2]);
70 expectArraysClose(await b.data(), [1, 1, 1, 1]);
71 });
72 it('2D float32 dtype', async () => {
73 const a = tf.tensor2d([1, 2, 3, 4], [2, 2], 'float32');
74 const b = tf.onesLike(a);
75 expect(b.dtype).toBe('float32');
76 expect(b.shape).toEqual([2, 2]);
77 expectArraysClose(await b.data(), [1, 1, 1, 1]);
78 });
79 it('2D int32 dtype', async () => {
80 const a = tf.tensor2d([1, 2, 3, 4], [2, 2], 'int32');
81 const b = tf.onesLike(a);
82 expect(b.dtype).toBe('int32');
83 expect(b.shape).toEqual([2, 2]);
84 expectArraysEqual(await b.data(), [1, 1, 1, 1]);
85 });
86 it('2D bool dtype', async () => {
87 const a = tf.tensor2d([1, 2, 3, 4], [2, 2], 'bool');
88 const b = tf.onesLike(a);
89 expect(b.dtype).toBe('bool');
90 expect(b.shape).toEqual([2, 2]);
91 expectArraysEqual(await b.data(), [1, 1, 1, 1]);
92 });
93 it('2D complex dtype', async () => {
94 const real = tf.tensor2d([1, 2, 3, 4], [2, 2], 'float32');
95 const imag = tf.tensor2d([1, 2, 3, 4], [2, 2], 'float32');
96 const a = tf.complex(real, imag);
97 const b = tf.onesLike(a);
98 expect(b.dtype).toBe('complex64');
99 expect(b.shape).toEqual([2, 2]);
100 expectArraysEqual(await b.data(), [1, 0, 1, 0, 1, 0, 1, 0]);
101 });
102 it('3D default dtype', async () => {
103 const a = tf.tensor3d([1, 2, 3, 4], [2, 2, 1]);
104 const b = tf.onesLike(a);
105 expect(b.dtype).toBe('float32');
106 expect(b.shape).toEqual([2, 2, 1]);
107 expectArraysClose(await b.data(), [1, 1, 1, 1]);
108 });
109 it('3D float32 dtype', async () => {
110 const a = tf.tensor3d([1, 2, 3, 4], [2, 2, 1], 'float32');
111 const b = tf.onesLike(a);
112 expect(b.dtype).toBe('float32');
113 expect(b.shape).toEqual([2, 2, 1]);
114 expectArraysClose(await b.data(), [1, 1, 1, 1]);
115 });
116 it('3D int32 dtype', async () => {
117 const a = tf.tensor3d([1, 2, 3, 4], [2, 2, 1], 'int32');
118 const b = tf.onesLike(a);
119 expect(b.dtype).toBe('int32');
120 expect(b.shape).toEqual([2, 2, 1]);
121 expectArraysEqual(await b.data(), [1, 1, 1, 1]);
122 });
123 it('3D bool dtype', async () => {
124 const a = tf.tensor3d([1, 2, 3, 4], [2, 2, 1], 'bool');
125 const b = tf.onesLike(a);
126 expect(b.dtype).toBe('bool');
127 expect(b.shape).toEqual([2, 2, 1]);
128 expectArraysEqual(await b.data(), [1, 1, 1, 1]);
129 });
130 it('3D complex dtype', async () => {
131 const real = tf.tensor3d([1, 2, 3, 4], [2, 2, 1], 'float32');
132 const imag = tf.tensor3d([1, 2, 3, 4], [2, 2, 1], 'float32');
133 const a = tf.complex(real, imag);
134 const b = tf.onesLike(a);
135 expect(b.dtype).toBe('complex64');
136 expect(b.shape).toEqual([2, 2, 1]);
137 expectArraysEqual(await b.data(), [1, 0, 1, 0, 1, 0, 1, 0]);
138 });
139 it('4D default dtype', async () => {
140 const a = tf.tensor4d([1, 2, 3, 4], [2, 2, 1, 1]);
141 const b = tf.onesLike(a);
142 expect(b.dtype).toBe('float32');
143 expect(b.shape).toEqual([2, 2, 1, 1]);
144 expectArraysClose(await b.data(), [1, 1, 1, 1]);
145 });
146 it('4D float32 dtype', async () => {
147 const a = tf.tensor4d([1, 2, 3, 4], [2, 2, 1, 1], 'float32');
148 const b = tf.onesLike(a);
149 expect(b.dtype).toBe('float32');
150 expect(b.shape).toEqual([2, 2, 1, 1]);
151 expectArraysClose(await b.data(), [1, 1, 1, 1]);
152 });
153 it('4D int32 dtype', async () => {
154 const a = tf.tensor4d([1, 2, 3, 4], [2, 2, 1, 1], 'int32');
155 const b = tf.onesLike(a);
156 expect(b.dtype).toBe('int32');
157 expect(b.shape).toEqual([2, 2, 1, 1]);
158 expectArraysEqual(await b.data(), [1, 1, 1, 1]);
159 });
160 it('4D bool dtype', async () => {
161 const a = tf.tensor4d([1, 2, 3, 4], [2, 2, 1, 1], 'bool');
162 const b = tf.onesLike(a);
163 expect(b.dtype).toBe('bool');
164 expect(b.shape).toEqual([2, 2, 1, 1]);
165 expectArraysEqual(await b.data(), [1, 1, 1, 1]);
166 });
167 it('4D default dtype', async () => {
168 const a = tf.tensor4d([1, 2, 3, 4], [2, 2, 1, 1]);
169 const b = tf.onesLike(a);
170 expect(b.dtype).toBe('float32');
171 expect(b.shape).toEqual([2, 2, 1, 1]);
172 expectArraysClose(await b.data(), [1, 1, 1, 1]);
173 });
174 it('4D complex dtype', async () => {
175 const real = tf.tensor4d([1, 2, 3, 4], [2, 2, 1, 1], 'float32');
176 const imag = tf.tensor4d([1, 2, 3, 4], [2, 2, 1, 1], 'float32');
177 const a = tf.complex(real, imag);
178 const b = tf.onesLike(a);
179 expect(b.dtype).toBe('complex64');
180 expect(b.shape).toEqual([2, 2, 1, 1]);
181 expectArraysEqual(await b.data(), [1, 0, 1, 0, 1, 0, 1, 0]);
182 });
183 it('5D float32 dtype', async () => {
184 const a = tf.tensor5d([1, 2, 3, 4], [1, 2, 2, 1, 1], 'float32');
185 const b = tf.onesLike(a);
186 expect(b.dtype).toBe('float32');
187 expect(b.shape).toEqual([1, 2, 2, 1, 1]);
188 expectArraysClose(await b.data(), [1, 1, 1, 1]);
189 });
190 it('5D int32 dtype', async () => {
191 const a = tf.tensor5d([1, 2, 3, 4], [1, 2, 2, 1, 1], 'int32');
192 const b = tf.onesLike(a);
193 expect(b.dtype).toBe('int32');
194 expect(b.shape).toEqual([1, 2, 2, 1, 1]);
195 expectArraysEqual(await b.data(), [1, 1, 1, 1]);
196 });
197 it('5D bool dtype', async () => {
198 const a = tf.tensor5d([1, 2, 3, 4], [1, 2, 2, 1, 1], 'bool');
199 const b = tf.onesLike(a);
200 expect(b.dtype).toBe('bool');
201 expect(b.shape).toEqual([1, 2, 2, 1, 1]);
202 expectArraysEqual(await b.data(), [1, 1, 1, 1]);
203 });
204 it('5D default dtype', async () => {
205 const a = tf.tensor5d([1, 2, 3, 4], [1, 2, 2, 1, 1]);
206 const b = tf.onesLike(a);
207 expect(b.dtype).toBe('float32');
208 expect(b.shape).toEqual([1, 2, 2, 1, 1]);
209 expectArraysClose(await b.data(), [1, 1, 1, 1]);
210 });
211 it('5D complex dtype', async () => {
212 const real = tf.tensor5d([1, 2, 3, 4], [1, 2, 2, 1, 1], 'float32');
213 const imag = tf.tensor5d([1, 2, 3, 4], [1, 2, 2, 1, 1], 'float32');
214 const a = tf.complex(real, imag);
215 const b = tf.onesLike(a);
216 expect(b.dtype).toBe('complex64');
217 expect(b.shape).toEqual([1, 2, 2, 1, 1]);
218 expectArraysEqual(await b.data(), [1, 0, 1, 0, 1, 0, 1, 0]);
219 });
220 it('6D int32 dtype', async () => {
221 const a = tf.tensor6d([1, 2, 3, 4], [1, 2, 2, 1, 1, 1], 'int32');
222 const b = tf.onesLike(a);
223 expect(b.dtype).toBe('int32');
224 expect(b.shape).toEqual(a.shape);
225 expectArraysEqual(await b.data(), [1, 1, 1, 1]);
226 });
227 it('6D bool dtype', async () => {
228 const a = tf.tensor6d([1, 2, 3, 4], [1, 2, 2, 1, 1, 1], 'bool');
229 const b = tf.onesLike(a);
230 expect(b.dtype).toBe('bool');
231 expect(b.shape).toEqual(a.shape);
232 expectArraysEqual(await b.data(), [1, 1, 1, 1]);
233 });
234 it('6D default dtype', async () => {
235 const a = tf.tensor6d([1, 2, 3, 4], [1, 2, 2, 1, 1, 1]);
236 const b = tf.onesLike(a);
237 expect(b.dtype).toBe('float32');
238 expect(b.shape).toEqual(a.shape);
239 expectArraysClose(await b.data(), [1, 1, 1, 1]);
240 });
241 it('6D float32 dtype', async () => {
242 const a = tf.tensor6d([1, 2, 3, 4], [1, 2, 2, 1, 1, 1], 'float32');
243 const b = tf.onesLike(a);
244 expect(b.dtype).toBe('float32');
245 expect(b.shape).toEqual(a.shape);
246 expectArraysClose(await b.data(), [1, 1, 1, 1]);
247 });
248 it('6D complex dtype', async () => {
249 const real = tf.tensor6d([1, 2, 3, 4], [1, 2, 2, 1, 1, 1], 'float32');
250 const imag = tf.tensor6d([1, 2, 3, 4], [1, 2, 2, 1, 1, 1], 'float32');
251 const a = tf.complex(real, imag);
252 const b = tf.onesLike(a);
253 expect(b.dtype).toBe('complex64');
254 expect(b.shape).toEqual([1, 2, 2, 1, 1, 1]);
255 expectArraysEqual(await b.data(), [1, 0, 1, 0, 1, 0, 1, 0]);
256 });
257 it('throws when passed a non-tensor', () => {
258 expect(() => tf.onesLike({}))
259 .toThrowError(/Argument 'x' passed to 'onesLike' must be a Tensor/);
260 });
261 it('onesLike gradient', async () => {
262 const x = tf.tensor2d([[0, 1, 2], [4, 5, 6]]);
263 const gradients = tf.grad(x => tf.onesLike(x))(x);
264 expect(gradients.shape).toEqual([2, 3]);
265 expectArraysEqual(await gradients.data(), [0, 0, 0, 0, 0, 0]);
266 });
267 it('accepts a tensor-like object', async () => {
268 const res = tf.onesLike([[1, 2], [3, 4]]);
269 expect(res.shape).toEqual([2, 2]);
270 expectArraysEqual(await res.data(), [1, 1, 1, 1]);
271 });
272});
273//# sourceMappingURL=ones_like_test.js.map
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