/**
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* @license
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* Copyright 2020 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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import * as tf from '../index';
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import { ALL_ENVS, describeWithFlags } from '../jasmine_util';
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import { expectArraysClose, expectArraysEqual } from '../test_util';
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describeWithFlags('add', ALL_ENVS, () => {
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it('c + A', async () => {
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const c = tf.scalar(5);
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const a = tf.tensor1d([1, 2, 3]);
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const result = tf.add(c, a);
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expectArraysClose(await result.data(), [6, 7, 8]);
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});
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it('c + A propagates NaNs', async () => {
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const c = tf.scalar(NaN);
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const a = tf.tensor1d([1, 2, 3]);
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const res = tf.add(c, a);
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expectArraysEqual(await res.data(), [NaN, NaN, NaN]);
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});
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it('A + B broadcasting same rank Tensors different shape', async () => {
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const a = tf.tensor2d([1, 2, -3, -4], [2, 2]);
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const b = tf.tensor2d([2, 3], [2, 1]);
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const result = tf.add(a, b);
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expect(result.shape).toEqual([2, 2]);
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const expected = [3, 4, 0, -1];
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expectArraysClose(await result.data(), expected);
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});
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it('A + B broadcast 2D + 1D', async () => {
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const a = tf.tensor2d([1, 2, -3, -4], [2, 2]);
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const b = tf.tensor1d([1, 2]);
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const result = tf.add(a, b);
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expect(result.shape).toEqual([2, 2]);
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const expected = [2, 4, -2, -2];
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expectArraysClose(await result.data(), expected);
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});
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it('A + B', async () => {
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const a = tf.tensor1d([2, 5, 1]);
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const b = tf.tensor1d([4, 2, -1]);
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const result = tf.add(a, b);
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const expected = [6, 7, 0];
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expectArraysClose(await result.data(), expected);
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});
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it('TensorLike', async () => {
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const a = [2, 5, 1];
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const b = [4, 2, -1];
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const result = tf.add(a, b);
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const expected = [6, 7, 0];
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expectArraysClose(await result.data(), expected);
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});
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it('TensorLike chained', async () => {
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const a = tf.tensor1d([2, 5, 1]);
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const b = [4, 2, -1];
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const result = a.add(b);
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const expected = [6, 7, 0];
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expectArraysClose(await result.data(), expected);
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});
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it('A + B propagates NaNs', async () => {
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const a = tf.tensor1d([2, 5, NaN]);
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const b = tf.tensor1d([4, 2, -1]);
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const res = tf.add(a, b);
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expectArraysClose(await res.data(), [6, 7, NaN]);
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});
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it('A + B throws when passed tensors with different shape', () => {
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const a = tf.tensor1d([2, 5, 1, 5]);
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const b = tf.tensor1d([4, 2, -1]);
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expect(() => tf.add(a, b)).toThrowError();
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expect(() => tf.add(b, a)).toThrowError();
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});
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it('2D+scalar broadcast', async () => {
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const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
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const b = tf.scalar(2);
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const res = tf.add(a, b);
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expect(res.shape).toEqual([2, 3]);
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expectArraysClose(await res.data(), [3, 4, 5, 6, 7, 8]);
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});
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it('scalar+1D broadcast', async () => {
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const a = tf.scalar(2);
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const b = tf.tensor1d([1, 2, 3, 4, 5, 6]);
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const res = tf.add(a, b);
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expect(res.shape).toEqual([6]);
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expectArraysClose(await res.data(), [3, 4, 5, 6, 7, 8]);
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});
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it('2D+2D broadcast each with 1 dim', async () => {
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const a = tf.tensor2d([1, 2, 5], [1, 3]);
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const b = tf.tensor2d([7, 3], [2, 1]);
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const res = tf.add(a, b);
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expect(res.shape).toEqual([2, 3]);
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expectArraysClose(await res.data(), [8, 9, 12, 4, 5, 8]);
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});
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it('2D+2D broadcast inner dim of b', async () => {
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const a = tf.tensor2d([1, 2, 5, 4, 5, 6], [2, 3]);
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const b = tf.tensor2d([7, 3], [2, 1]);
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const res = tf.add(a, b);
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expect(res.shape).toEqual([2, 3]);
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expectArraysClose(await res.data(), [8, 9, 12, 7, 8, 9]);
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});
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it('3D+scalar', async () => {
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const a = tf.tensor3d([1, 2, 3, 4, 5, 6], [2, 3, 1]);
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const b = tf.scalar(-1);
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const res = tf.add(a, b);
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expect(res.shape).toEqual([2, 3, 1]);
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expectArraysClose(await res.data(), [0, 1, 2, 3, 4, 5]);
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});
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it('6D+scalar', async () => {
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const a = tf.range(0, 64).reshape([2, 2, 2, 2, 2, 2]);
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const b = tf.scalar(-1);
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const res = tf.add(a, b);
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expect(res.shape).toEqual([2, 2, 2, 2, 2, 2]);
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const expectedResult = [
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-1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
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15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30,
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31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46,
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47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62
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];
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expectArraysClose(await res.data(), expectedResult);
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});
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it('6D+2D', async () => {
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const a = tf.range(0, 64).reshape([2, 2, 2, 2, 2, 2]);
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const b = tf.tensor2d([11, 13, 17, 19], [2, 2]);
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const res = tf.add(a, b);
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expect(res.shape).toEqual([2, 2, 2, 2, 2, 2]);
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const expectedResult = [
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11, 14, 19, 22, 15, 18, 23, 26, 19, 22, 27, 30, 23, 26, 31, 34,
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27, 30, 35, 38, 31, 34, 39, 42, 35, 38, 43, 46, 39, 42, 47, 50,
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43, 46, 51, 54, 47, 50, 55, 58, 51, 54, 59, 62, 55, 58, 63, 66,
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59, 62, 67, 70, 63, 66, 71, 74, 67, 70, 75, 78, 71, 74, 79, 82
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];
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expectArraysClose(await res.data(), expectedResult);
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});
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it('add tensors with 0 in shape', async () => {
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const a = tf.tensor1d([1]);
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const b = tf.tensor3d([], [0, 0, 5]);
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const res = tf.add(a, b);
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expect(res.shape).toEqual([0, 0, 5]);
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expectArraysEqual(await res.data(), []);
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});
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it('gradient: scalar + 1D broadcast', async () => {
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const a = tf.scalar(2);
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const b = tf.tensor1d([3, 4, 5]);
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const dy = tf.tensor1d([7, 8, 9]);
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const grads = tf.grads((a, b) => tf.add(a, b));
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const [da, db] = grads([a, b], dy);
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expect(da.shape).toEqual(a.shape);
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expect(da.dtype).toEqual('float32');
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expectArraysClose(await da.data(), [7 + 8 + 9]);
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expect(db.shape).toEqual(b.shape);
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expect(db.dtype).toEqual('float32');
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expectArraysClose(await db.data(), [7, 8, 9]);
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});
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it('gradient with clones', async () => {
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const a = tf.scalar(2);
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const b = tf.tensor1d([3, 4, 5]);
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const dy = tf.tensor1d([7, 8, 9]);
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const grads = tf.grads((a, b) => tf.add(a.clone(), b.clone()).clone());
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const [da, db] = grads([a, b], dy);
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expect(da.shape).toEqual(a.shape);
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expect(da.dtype).toEqual('float32');
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expectArraysClose(await da.data(), [7 + 8 + 9]);
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expect(db.shape).toEqual(b.shape);
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expect(db.dtype).toEqual('float32');
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expectArraysClose(await db.data(), [7, 8, 9]);
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});
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it('gradient: 2D + 2D broadcast', async () => {
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const a = tf.tensor2d([2, 3], [2, 1]);
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const b = tf.tensor2d([4, 5, 6, 7], [2, 2]);
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const dy = tf.tensor2d([5, 4, 3, 2], [2, 2]);
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const grads = tf.grads((a, b) => tf.add(a, b));
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const [da, db] = grads([a, b], dy);
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expect(da.shape).toEqual(a.shape);
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expect(da.dtype).toEqual('float32');
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expectArraysClose(await da.data(), [5 + 4, 3 + 2]);
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expect(db.shape).toEqual(b.shape);
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expect(db.dtype).toEqual('float32');
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expectArraysClose(await db.data(), [5, 4, 3, 2]);
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});
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it('complex number addition', async () => {
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const real1 = tf.tensor1d([1]);
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const imag1 = tf.tensor1d([2]);
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const complex1 = tf.complex(real1, imag1);
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const real2 = tf.tensor1d([3]);
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const imag2 = tf.tensor1d([4]);
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const complex2 = tf.complex(real2, imag2);
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const result = complex1.add(complex2);
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expect(result.dtype).toBe('complex64');
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expect(result.shape).toEqual([1]);
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expectArraysClose(await result.data(), [4, 6]);
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});
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it('complex number reshape and then addition', async () => {
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const real1 = tf.tensor1d([1]);
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const imag1 = tf.tensor1d([2]);
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const complex1 = tf.complex(real1, imag1);
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const real2 = tf.tensor1d([3]);
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const imag2 = tf.tensor1d([4]);
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const complex2 = tf.complex(real2, imag2);
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const complex1Reshaped = complex1.reshape([1, 1, 1]);
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const complex2Reshaped = complex2.reshape([1, 1, 1]);
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const result = complex1Reshaped.add(complex2Reshaped);
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expect(result.dtype).toBe('complex64');
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expect(result.shape).toEqual([1, 1, 1]);
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expectArraysClose(await result.data(), [4, 6]);
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});
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it('complex number broadcasting addition', async () => {
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const real1 = tf.tensor2d([1, 2, -3, -4], [2, 2]);
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const imag1 = tf.tensor2d([10, 20, -30, -40], [2, 2]);
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const complex1 = tf.complex(real1, imag1);
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const real2 = tf.tensor1d([4]);
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const imag2 = tf.tensor1d([5]);
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const complex2 = tf.complex(real2, imag2);
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const result = tf.add(complex1, complex2);
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expect(result.dtype).toEqual('complex64');
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expect(result.shape).toEqual([2, 2]);
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expectArraysClose(await result.data(), [1 + 4, 10 + 5, 2 + 4, 20 + 5, -3 + 4, -30 + 5, -4 + 4, -40 + 5]);
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});
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it('throws when passed a as a non-tensor', () => {
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expect(() => tf.add({}, tf.scalar(1)))
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.toThrowError(/Argument 'a' passed to 'add' must be a Tensor/);
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});
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it('throws when passed b as a non-tensor', () => {
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expect(() => tf.add(tf.scalar(1), {}))
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.toThrowError(/Argument 'b' passed to 'add' must be a Tensor/);
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});
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it('upcasts when dtypes dont match', async () => {
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let res = tf.add(tf.scalar(1, 'int32'), tf.scalar(1, 'float32'));
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expect(res.dtype).toBe('float32');
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expectArraysClose(await res.data(), [2]);
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res = tf.add(tf.scalar(1, 'int32'), tf.scalar(true, 'bool'));
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expect(res.dtype).toBe('int32');
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expectArraysClose(await res.data(), [2]);
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res = tf.add(tf.scalar(1, 'int32'), tf.scalar(false, 'bool'));
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expect(res.dtype).toBe('int32');
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expectArraysClose(await res.data(), [1]);
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res = tf.add(tf.complex(4, 7), tf.scalar(1, 'float32'));
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expect(res.dtype).toBe('complex64');
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expectArraysClose(await res.data(), [5, 7]);
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res = tf.add(tf.complex(4, 7), tf.scalar(1, 'int32'));
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expect(res.dtype).toBe('complex64');
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expectArraysClose(await res.data(), [5, 7]);
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});
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it('accepts a tensor-like object', async () => {
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const result = tf.add(5, [1, 2, 3]);
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expectArraysClose(await result.data(), [6, 7, 8]);
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});
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});
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* @license\n * Copyright 2020 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 */\nimport * as tf from '../index';\nimport {ALL_ENVS, describeWithFlags} from '../jasmine_util';\nimport {expectArraysClose, expectArraysEqual} from '../test_util';\n\ndescribeWithFlags('add', ALL_ENVS, () => {\n  it('c + A', async () => {\n    const c = tf.scalar(5);\n    const a = tf.tensor1d([1, 2, 3]);\n\n    const result = tf.add(c, a);\n\n    expectArraysClose(await result.data(), [6, 7, 8]);\n  });\n\n  it('c + A propagates NaNs', async () => {\n    const c = tf.scalar(NaN);\n    const a = tf.tensor1d([1, 2, 3]);\n\n    const res = tf.add(c, a);\n\n    expectArraysEqual(await res.data(), [NaN, NaN, NaN]);\n  });\n\n  it('A + B broadcasting same rank Tensors different shape', async () => {\n    const a = tf.tensor2d([1, 2, -3, -4], [2, 2]);\n    const b = tf.tensor2d([2, 3], [2, 1]);\n\n    const result = tf.add(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    const expected = [3, 4, 0, -1];\n\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('A + B broadcast 2D + 1D', async () => {\n    const a = tf.tensor2d([1, 2, -3, -4], [2, 2]);\n    const b = tf.tensor1d([1, 2]);\n\n    const result = tf.add(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    const expected = [2, 4, -2, -2];\n\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('A + B', async () => {\n    const a = tf.tensor1d([2, 5, 1]);\n    const b = tf.tensor1d([4, 2, -1]);\n\n    const result = tf.add(a, b);\n\n    const expected = [6, 7, 0];\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('TensorLike', async () => {\n    const a = [2, 5, 1];\n    const b = [4, 2, -1];\n\n    const result = tf.add(a, b);\n\n    const expected = [6, 7, 0];\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('TensorLike chained', async () => {\n    const a = tf.tensor1d([2, 5, 1]);\n    const b = [4, 2, -1];\n\n    const result = a.add(b);\n\n    const expected = [6, 7, 0];\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('A + B propagates NaNs', async () => {\n    const a = tf.tensor1d([2, 5, NaN]);\n    const b = tf.tensor1d([4, 2, -1]);\n\n    const res = tf.add(a, b);\n    expectArraysClose(await res.data(), [6, 7, NaN]);\n  });\n\n  it('A + B throws when passed tensors with different shape', () => {\n    const a = tf.tensor1d([2, 5, 1, 5]);\n    const b = tf.tensor1d([4, 2, -1]);\n\n    expect(() => tf.add(a, b)).toThrowError();\n    expect(() => tf.add(b, a)).toThrowError();\n  });\n\n  it('2D+scalar broadcast', async () => {\n    const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);\n    const b = tf.scalar(2);\n    const res = tf.add(a, b);\n    expect(res.shape).toEqual([2, 3]);\n    expectArraysClose(await res.data(), [3, 4, 5, 6, 7, 8]);\n  });\n\n  it('scalar+1D broadcast', async () => {\n    const a = tf.scalar(2);\n    const b = tf.tensor1d([1, 2, 3, 4, 5, 6]);\n    const res = tf.add(a, b);\n    expect(res.shape).toEqual([6]);\n    expectArraysClose(await res.data(), [3, 4, 5, 6, 7, 8]);\n  });\n\n  it('2D+2D broadcast each with 1 dim', async () => {\n    const a = tf.tensor2d([1, 2, 5], [1, 3]);\n    const b = tf.tensor2d([7, 3], [2, 1]);\n    const res = tf.add(a, b);\n    expect(res.shape).toEqual([2, 3]);\n    expectArraysClose(await res.data(), [8, 9, 12, 4, 5, 8]);\n  });\n\n  it('2D+2D broadcast inner dim of b', async () => {\n    const a = tf.tensor2d([1, 2, 5, 4, 5, 6], [2, 3]);\n    const b = tf.tensor2d([7, 3], [2, 1]);\n    const res = tf.add(a, b);\n    expect(res.shape).toEqual([2, 3]);\n    expectArraysClose(await res.data(), [8, 9, 12, 7, 8, 9]);\n  });\n\n  it('3D+scalar', async () => {\n    const a = tf.tensor3d([1, 2, 3, 4, 5, 6], [2, 3, 1]);\n    const b = tf.scalar(-1);\n    const res = tf.add(a, b);\n    expect(res.shape).toEqual([2, 3, 1]);\n    expectArraysClose(await res.data(), [0, 1, 2, 3, 4, 5]);\n  });\n\n  it('6D+scalar', async () => {\n    const a = tf.range(0, 64).reshape([2, 2, 2, 2, 2, 2]);\n    const b = tf.scalar(-1);\n    const res = tf.add(a, b);\n    expect(res.shape).toEqual([2, 2, 2, 2, 2, 2]);\n    const expectedResult = [\n      -1, 0,  1,  2,  3,  4,  5,  6,  7,  8,  9,  10, 11, 12, 13, 14,\n      15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30,\n      31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46,\n      47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62\n    ];\n    expectArraysClose(await res.data(), expectedResult);\n  });\n\n  it('6D+2D', async () => {\n    const a = tf.range(0, 64).reshape([2, 2, 2, 2, 2, 2]);\n    const b = tf.tensor2d([11, 13, 17, 19], [2, 2]);\n    const res = tf.add(a, b);\n    expect(res.shape).toEqual([2, 2, 2, 2, 2, 2]);\n    const expectedResult = [\n      11, 14, 19, 22, 15, 18, 23, 26, 19, 22, 27, 30, 23, 26, 31, 34,\n      27, 30, 35, 38, 31, 34, 39, 42, 35, 38, 43, 46, 39, 42, 47, 50,\n      43, 46, 51, 54, 47, 50, 55, 58, 51, 54, 59, 62, 55, 58, 63, 66,\n      59, 62, 67, 70, 63, 66, 71, 74, 67, 70, 75, 78, 71, 74, 79, 82\n    ];\n    expectArraysClose(await res.data(), expectedResult);\n  });\n\n  it('add tensors with 0 in shape', async () => {\n    const a = tf.tensor1d([1]);\n    const b = tf.tensor3d([], [0, 0, 5]);\n    const res = tf.add(a, b);\n    expect(res.shape).toEqual([0, 0, 5]);\n    expectArraysEqual(await res.data(), []);\n  });\n\n  it('gradient: scalar + 1D broadcast', async () => {\n    const a = tf.scalar(2);\n    const b = tf.tensor1d([3, 4, 5]);\n    const dy = tf.tensor1d([7, 8, 9]);\n\n    const grads = tf.grads((a, b) => tf.add(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(da.dtype).toEqual('float32');\n    expectArraysClose(await da.data(), [7 + 8 + 9]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [7, 8, 9]);\n  });\n\n  it('gradient with clones', async () => {\n    const a = tf.scalar(2);\n    const b = tf.tensor1d([3, 4, 5]);\n    const dy = tf.tensor1d([7, 8, 9]);\n\n    const grads = tf.grads((a, b) => tf.add(a.clone(), b.clone()).clone());\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(da.dtype).toEqual('float32');\n    expectArraysClose(await da.data(), [7 + 8 + 9]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [7, 8, 9]);\n  });\n\n  it('gradient: 2D + 2D broadcast', async () => {\n    const a = tf.tensor2d([2, 3], [2, 1]);\n    const b = tf.tensor2d([4, 5, 6, 7], [2, 2]);\n    const dy = tf.tensor2d([5, 4, 3, 2], [2, 2]);\n\n    const grads = tf.grads((a, b) => tf.add(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(da.dtype).toEqual('float32');\n    expectArraysClose(await da.data(), [5 + 4, 3 + 2]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [5, 4, 3, 2]);\n  });\n\n  it('complex number addition', async () => {\n    const real1 = tf.tensor1d([1]);\n    const imag1 = tf.tensor1d([2]);\n    const complex1 = tf.complex(real1, imag1);\n\n    const real2 = tf.tensor1d([3]);\n    const imag2 = tf.tensor1d([4]);\n    const complex2 = tf.complex(real2, imag2);\n\n    const result = complex1.add(complex2);\n\n    expect(result.dtype).toBe('complex64');\n    expect(result.shape).toEqual([1]);\n    expectArraysClose(await result.data(), [4, 6]);\n  });\n\n  it('complex number reshape and then addition', async () => {\n    const real1 = tf.tensor1d([1]);\n    const imag1 = tf.tensor1d([2]);\n    const complex1 = tf.complex(real1, imag1);\n\n    const real2 = tf.tensor1d([3]);\n    const imag2 = tf.tensor1d([4]);\n    const complex2 = tf.complex(real2, imag2);\n\n    const complex1Reshaped = complex1.reshape([1, 1, 1]);\n    const complex2Reshaped = complex2.reshape([1, 1, 1]);\n\n    const result = complex1Reshaped.add(complex2Reshaped);\n\n    expect(result.dtype).toBe('complex64');\n    expect(result.shape).toEqual([1, 1, 1]);\n    expectArraysClose(await result.data(), [4, 6]);\n  });\n\n  it('complex number broadcasting addition', async () => {\n    const real1 = tf.tensor2d([1, 2, -3, -4], [2, 2]);\n    const imag1 = tf.tensor2d([10, 20, -30, -40], [2, 2]);\n    const complex1 = tf.complex(real1, imag1);\n\n    const real2 = tf.tensor1d([4]);\n    const imag2 = tf.tensor1d([5]);\n    const complex2 = tf.complex(real2, imag2);\n\n    const result = tf.add(complex1, complex2);\n\n    expect(result.dtype).toEqual('complex64');\n    expect(result.shape).toEqual([2, 2]);\n    expectArraysClose(\n        await result.data(),\n        [1 + 4, 10 + 5, 2 + 4, 20 + 5, -3 + 4, -30 + 5, -4 + 4, -40 + 5]);\n  });\n\n  it('throws when passed a as a non-tensor', () => {\n    expect(() => tf.add({} as tf.Tensor, tf.scalar(1)))\n        .toThrowError(/Argument 'a' passed to 'add' must be a Tensor/);\n  });\n  it('throws when passed b as a non-tensor', () => {\n    expect(() => tf.add(tf.scalar(1), {} as tf.Tensor))\n        .toThrowError(/Argument 'b' passed to 'add' must be a Tensor/);\n  });\n\n  it('upcasts when dtypes dont match', async () => {\n    let res = tf.add(tf.scalar(1, 'int32'), tf.scalar(1, 'float32'));\n    expect(res.dtype).toBe('float32');\n    expectArraysClose(await res.data(), [2]);\n\n    res = tf.add(tf.scalar(1, 'int32'), tf.scalar(true, 'bool'));\n    expect(res.dtype).toBe('int32');\n    expectArraysClose(await res.data(), [2]);\n\n    res = tf.add(tf.scalar(1, 'int32'), tf.scalar(false, 'bool'));\n    expect(res.dtype).toBe('int32');\n    expectArraysClose(await res.data(), [1]);\n\n    res = tf.add(tf.complex(4, 7), tf.scalar(1, 'float32'));\n    expect(res.dtype).toBe('complex64');\n    expectArraysClose(await res.data(), [5, 7]);\n\n    res = tf.add(tf.complex(4, 7), tf.scalar(1, 'int32'));\n    expect(res.dtype).toBe('complex64');\n    expectArraysClose(await res.data(), [5, 7]);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const result = tf.add(5, [1, 2, 3]);\n    expectArraysClose(await result.data(), [6, 7, 8]);\n  });\n});\n"]}
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