@tensorflow/tfjs-core
Version:
Hardware-accelerated JavaScript library for machine intelligence
83 lines • 3.31 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('eye', ALL_ENVS, () => {
it('1x1', async () => {
const r = tf.eye(1);
expectArraysClose(await r.data(), [1]);
expect(r.shape).toEqual([1, 1]);
expect(r.dtype).toBe('float32');
});
it('2x2', async () => {
const r = tf.eye(2);
expect(r.shape).toEqual([2, 2]);
expect(r.dtype).toBe('float32');
expectArraysClose(await r.data(), [1, 0, 0, 1]);
});
it('3x3', async () => {
const r = tf.eye(3);
expect(r.shape).toEqual([3, 3]);
expect(r.dtype).toBe('float32');
expectArraysClose(await r.data(), [1, 0, 0, 0, 1, 0, 0, 0, 1]);
});
it('3x4', async () => {
const r = tf.eye(3, 4);
expect(r.shape).toEqual([3, 4]);
expect(r.dtype).toBe('float32');
expectArraysClose(await r.data(), [1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0]);
});
it('4x3', async () => {
const r = tf.eye(4, 3);
expect(r.shape).toEqual([4, 3]);
expectArraysClose(await r.data(), [1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0]);
});
it('with 1D batchShape', async () => {
const r = tf.eye(2, 2, [3]);
expect(r.shape).toEqual([3, 2, 2]);
expectArraysClose(await r.data(), [1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1]);
});
it('with 2D batchShape', async () => {
const r = tf.eye(2, 2, [2, 3]);
expect(r.shape).toEqual([2, 3, 2, 2]);
expectArraysClose(await r.data(), [
1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1
]);
});
it('with 3D batchShape', async () => {
const r = tf.eye(2, 2, [2, 2, 3]);
expect(r.shape).toEqual([2, 2, 3, 2, 2]);
expectArraysClose(await r.data(), [
1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1,
1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1
]);
});
it('3x3, int32', async () => {
const r = tf.eye(3, 3, null, 'int32');
expect(r.dtype).toBe('int32');
expect(r.shape).toEqual([3, 3]);
expectArraysClose(await r.data(), [1, 0, 0, 0, 1, 0, 0, 0, 1]);
});
it('3x3, bool', async () => {
const r = tf.eye(3, 3, null, 'bool');
expect(r.dtype).toBe('bool');
expect(r.shape).toEqual([3, 3]);
expectArraysClose(await r.data(), [1, 0, 0, 0, 1, 0, 0, 0, 1]);
});
});
//# sourceMappingURL=eye_test.js.map