@tensorflow/tfjs-core
Version:
Hardware-accelerated JavaScript library for machine intelligence
101 lines • 4.25 kB
JavaScript
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
import * as tf from '../index';
import { ALL_ENVS, describeWithFlags } from '../jasmine_util';
import { expectArraysClose } from '../test_util';
describeWithFlags('setdiff1dAsync', ALL_ENVS, () => {
it('1d int32 tensor', async () => {
const x = tf.tensor1d([1, 2, 3, 4], 'int32');
const y = tf.tensor1d([1, 2], 'int32');
const [out, indices] = await tf.setdiff1dAsync(x, y);
expect(out.dtype).toBe('int32');
expect(indices.dtype).toBe('int32');
expect(out.shape).toEqual([2]);
expect(indices.shape).toEqual([2]);
expectArraysClose(await out.data(), [3, 4]);
expectArraysClose(await indices.data(), [2, 3]);
});
it('1d float32 tensor', async () => {
const x = tf.tensor1d([1, 2, 3, 4], 'float32');
const y = tf.tensor1d([1, 3], 'float32');
const [out, indices] = await tf.setdiff1dAsync(x, y);
expect(out.dtype).toBe('float32');
expect(indices.dtype).toBe('int32');
expect(out.shape).toEqual([2]);
expect(indices.shape).toEqual([2]);
expectArraysClose(await out.data(), [2, 4]);
expectArraysClose(await indices.data(), [1, 3]);
});
it('empty output', async () => {
const x = tf.tensor1d([1, 2, 3, 4], 'float32');
const y = tf.tensor1d([1, 2, 3, 4], 'float32');
const [out, indices] = await tf.setdiff1dAsync(x, y);
expect(out.dtype).toBe('float32');
expect(indices.dtype).toBe('int32');
expect(out.shape).toEqual([0]);
expect(indices.shape).toEqual([0]);
expectArraysClose(await out.data(), []);
expectArraysClose(await indices.data(), []);
});
it('tensor like', async () => {
const x = [1, 2, 3, 4];
const y = [1, 3];
const [out, indices] = await tf.setdiff1dAsync(x, y);
expect(out.dtype).toBe('float32');
expect(indices.dtype).toBe('int32');
expect(out.shape).toEqual([2]);
expect(indices.shape).toEqual([2]);
expectArraysClose(await out.data(), [2, 4]);
expectArraysClose(await indices.data(), [1, 3]);
});
it('should throw if x is not 1d', async () => {
const x = tf.tensor2d([1, 2, 3, 4], [4, 1], 'float32');
const y = tf.tensor1d([1, 2, 3, 4], 'float32');
try {
await tf.setdiff1dAsync(x, y);
throw new Error('The line above should have thrown an error');
}
catch (ex) {
expect(ex.message).toBe('x should be 1D tensor, but got x (4,1).');
}
});
it('should throw if y is not 1d', async () => {
const x = tf.tensor1d([1, 2, 3, 4], 'float32');
const y = tf.tensor2d([1, 2, 3, 4], [4, 1], 'float32');
try {
await tf.setdiff1dAsync(x, y);
throw new Error('The line above should have thrown an error');
}
catch (ex) {
expect(ex.message).toBe('y should be 1D tensor, but got y (4,1).');
}
});
it('should throw if x and y dtype mismatch', async () => {
const x = tf.tensor1d([1, 2, 3, 4], 'float32');
const y = tf.tensor1d([1, 2, 3, 4], 'int32');
try {
await tf.setdiff1dAsync(x, y);
throw new Error('The line above should have thrown an error');
}
catch (ex) {
expect(ex.message)
.toBe('x and y should have the same dtype,' +
' but got x (float32) and y (int32).');
}
});
});
//# sourceMappingURL=setdiff1d_async_test.js.map