/**
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* @license
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* Copyright 2017 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('div', ALL_ENVS, () => {
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it('same shape', async () => {
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const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
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const c = tf.tensor2d([1, 2, 3, 4, 2, 5], [2, 3]);
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const r = tf.div(a, c);
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expectArraysClose(await r.data(), [1, 1, 1, 1, 2.5, 6 / 5]);
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});
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it('vec4 same shape', async () => {
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const a = tf.tensor2d([1, 2, -3, -4], [2, 2]);
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const b = tf.tensor2d([5, 3, 4, -7], [2, 2]);
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const expected = [0.2, 0.666, -0.75, 0.571];
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const result = tf.div(a, b);
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expect(result.shape).toEqual([2, 2]);
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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 = [0, 1, -2, -4, 4, -4];
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const b = [0.15, 0.2, 0.25, 0.5, 0.7, 1.2];
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const result = tf.div(a, b);
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expect(result.shape).toEqual([6]);
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expectArraysClose(await result.data(), [0, 5.0, -8.0, -8.0, 5.714285850524902, -3.3333332538604736]);
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});
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it('TensorLike chained', async () => {
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const a = tf.tensor1d([0, 1, -2, -4, 4, -4]);
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const b = [0.15, 0.2, 0.25, 0.5, 0.7, 1.2];
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const result = a.div(b);
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expect(result.shape).toEqual(a.shape);
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expectArraysClose(await result.data(), [0, 5.0, -8.0, -8.0, 5.714285850524902, -3.3333332538604736]);
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});
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it('division by zero results in infinity', async () => {
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const r = tf.div(1, 0);
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const rData = await r.data();
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expect(Array.from(rData)).toEqual([Infinity]);
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});
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it('integer division implements floor divide', async () => {
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const a = tf.tensor1d([-6, -6, -5, -4, -3, -3, 3, 3, 2], 'int32');
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const c = tf.tensor1d([-2, 2, 3, 2, -3, 3, 2, 3, 2], 'int32');
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const r = tf.div(a, c);
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expect(r.dtype).toEqual('int32');
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expectArraysClose(await r.data(), [3, -3, -2, -2, 1, -1, 1, 1, 1]);
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});
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it('integer division broadcasts', async () => {
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const a = tf.tensor1d([-5, -4, 3, 2], 'int32');
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const c = tf.scalar(2, 'int32');
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const r = tf.div(a, c);
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expect(r.dtype).toEqual('int32');
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expectArraysClose(await r.data(), [-3, -2, 1, 1]);
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});
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it('propagates NaNs', async () => {
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const a = tf.tensor2d([1, 2], [2, 1]);
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const c = tf.tensor2d([3, NaN], [2, 1]);
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const r = tf.div(a, c);
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expectArraysClose(await r.data(), [1 / 3, NaN]);
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});
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it('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.div(a, b);
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expect(result.shape).toEqual([2, 2]);
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const expected = [1 / 2, 1, -1, -4 / 3];
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expectArraysClose(await result.data(), expected);
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});
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it('broadcast scalar', async () => {
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const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);
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const b = [2];
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const result = tf.div(a, b);
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expect(result.shape).toEqual([2, 2]);
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const expected = [0.5, 1, 1.5, 2];
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expectArraysClose(await result.data(), expected);
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});
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it('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.div(a, b);
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expect(result.shape).toEqual([2, 2]);
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const expected = [1, 1, -3, -2];
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expectArraysClose(await result.data(), expected);
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});
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it('upcasts when dtypes dont match', async () => {
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let res = tf.div(tf.scalar(6, 'int32'), tf.scalar(3, '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.div(tf.scalar(6, 'int32'), tf.scalar(true, 'bool'));
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expect(res.dtype).toBe('int32');
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expectArraysClose(await res.data(), [6]);
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});
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it('throws when passed tensors of different shapes', () => {
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const a = tf.tensor2d([1, 2, -3, -4, 5, 6], [2, 3]);
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const b = tf.tensor2d([5, 3, 4, -7], [2, 2]);
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expect(() => tf.div(a, b)).toThrowError();
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expect(() => tf.div(b, a)).toThrowError();
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});
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it('scalar divided by array', async () => {
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const c = tf.scalar(2);
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const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
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const r = tf.div(c, a);
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expectArraysClose(await r.data(), [2 / 1, 2 / 2, 2 / 3, 2 / 4, 2 / 5, 2 / 6]);
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});
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it('scalar divided by array propagates NaNs', async () => {
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const c = tf.scalar(NaN);
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const a = tf.tensor2d([1, 2, 3], [1, 3]);
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const r = tf.div(c, a);
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expectArraysEqual(await r.data(), [NaN, NaN, NaN]);
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});
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it('array divided by scalar', async () => {
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const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
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const c = tf.scalar(2);
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const r = tf.div(a, c);
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expectArraysClose(await r.data(), [1 / 2, 2 / 2, 3 / 2, 4 / 2, 5 / 2, 6 / 2]);
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});
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it('array divided by scalar propagates NaNs', async () => {
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const a = tf.tensor2d([1, 2, NaN], [1, 3]);
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const c = tf.scalar(2);
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const r = tf.div(a, c);
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expectArraysClose(await r.data(), [1 / 2, 2 / 2, NaN]);
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});
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it('gradient: Scalar', async () => {
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const a = tf.scalar(5);
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const b = tf.scalar(2);
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const dy = tf.scalar(4);
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const before = tf.memory().numTensors;
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const grads = tf.grads((a, b) => tf.div(a, b));
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const [da, db] = grads([a, b], dy);
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const now = tf.memory().numTensors;
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expect(now).toBe(before + 2);
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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(), [4 / 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(), [-4 * 5 / (2 * 2)]);
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});
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it('gradient with clones', async () => {
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const grads = tf.grads((a, b) => tf.div(a.clone(), b.clone()).clone());
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const [da, db] = grads([5, 2]);
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expect(da.shape).toEqual([]);
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expect(db.shape).toEqual([]);
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expectArraysClose(await da.data(), [1 / 2]);
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expectArraysClose(await db.data(), [-5 / 4]);
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});
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it('gradient: Tensor1D', async () => {
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const a = tf.tensor1d([1, 2, 3]);
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const b = tf.tensor1d([3, 4, 5]);
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const dy = tf.tensor1d([1, 10, 20]);
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const grads = tf.grads((a, b) => tf.div(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(db.dtype).toEqual('float32');
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expectArraysClose(await da.data(), [1 / 3, 10 / 4, 20 / 5]);
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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(), [-1 * 1 / 9, -10 * 2 / 16, -20 * 3 / 25]);
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});
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it('gradient: Tensor1D with int32', async () => {
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const a = tf.tensor1d([1, 2, 3], 'int32');
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const b = tf.tensor1d([3, 4, 5], 'int32');
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const dy = tf.tensor1d([1, 10, 20]);
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const grads = tf.grads((a, b) => tf.div(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(db.dtype).toEqual('float32');
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expectArraysClose(await da.data(), [1 / 3, 10 / 4, 20 / 5]);
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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(), [-1 * 1 / 9, -10 * 2 / 16, -20 * 3 / 25]);
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});
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it('gradient: 1d<int32> with 1d<bool> ', async () => {
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const a = tf.tensor1d([true, false, true], 'bool');
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const b = tf.tensor1d([1, 2, 3], 'int32');
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const dy = tf.tensor1d([1, 19, 20]);
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const grads = tf.grads((a, b) => tf.div(a.toInt(), 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(db.dtype).toEqual('float32');
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expectArraysClose(await da.data(), [1, 19 / 2, 20 / 3]);
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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(), [-1 / 1, 0, -20 / 9]);
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});
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it('gradient: Tensor2D', async () => {
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const a = tf.tensor2d([3, 1, 2, 3], [2, 2]);
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const b = tf.tensor2d([1, 3, 4, 5], [2, 2]);
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const dy = tf.tensor2d([1, 10, 15, 20], [2, 2]);
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const grads = tf.grads((a, b) => tf.div(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(), [1 / 1, 10 / 3, 15 / 4, 20 / 5]);
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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(), [-1 * 3 / 1, -10 * 1 / 9, -15 * 2 / 16, -20 * 3 / 25]);
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});
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it('gradient: scalar / Tensor1D', 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([6, 7, 8]);
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const grads = tf.grads((a, b) => tf.div(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(), [6 / 3 + 7 / 4 + 8 / 5]);
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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(), [-6 * 2 / 9, -7 * 2 / 16, -8 * 2 / 25]);
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});
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it('gradient: Tensor2D / scalar', async () => {
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const a = tf.tensor2d([[2, 3], [4, 5]], [2, 2]);
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const b = tf.scalar(2);
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const dy = tf.tensor2d([[6, 7], [8, 9]], [2, 2]);
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const grads = tf.grads((a, b) => tf.div(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(), [6 / 2, 7 / 2, 8 / 2, 9 / 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(), [-6 * 2 / 4 + -7 * 3 / 4 + -8 * 4 / 4 + -9 * 5 / 4]);
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});
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it('gradient: Tensor2D / Tensor2D w/ broadcast', async () => {
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const a = tf.tensor2d([3, 4], [2, 1]);
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const b = tf.tensor2d([[2, 3], [4, 5]], [2, 2]);
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const dy = tf.tensor2d([[6, 7], [8, 9]], [2, 2]);
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const grads = tf.grads((a, b) => tf.div(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(), [6 / 2 + 7 / 3, 8 / 4 + 9 / 5]);
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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(), [-6 * 3 / 4, -7 * 3 / 9, -8 * 4 / 16, -9 * 4 / 25]);
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});
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it('throws when passed a as a non-tensor', () => {
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expect(() => tf.div({}, tf.scalar(1)))
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.toThrowError(/Argument 'a' passed to 'div' 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.div(tf.scalar(1), {}))
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.toThrowError(/Argument 'b' passed to 'div' must be a Tensor/);
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});
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it('accepts a tensor-like object', async () => {
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const r = tf.div([[1, 2, 3], [4, 5, 6]], 2);
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expect(r.shape).toEqual([2, 3]);
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expectArraysClose(await r.data(), [1 / 2, 2 / 2, 3 / 2, 4 / 2, 5 / 2, 6 / 2]);
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});
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});
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describeWithFlags('mul', ALL_ENVS, () => {
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it('same-shaped tensors', async () => {
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const a = tf.tensor2d([1, 2, -3, -4], [2, 2]);
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const b = tf.tensor2d([5, 3, 4, -7], [2, 2]);
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const expected = [5, 6, -12, 28];
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const result = tf.mul(a, b);
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expect(result.shape).toEqual([2, 2]);
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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 = [[1, 2], [-3, -4]];
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const b = [[5, 3], [4, -7]];
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const expected = [5, 6, -12, 28];
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const result = tf.mul(a, b);
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expect(result.shape).toEqual([2, 2]);
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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.tensor2d([1, 2, -3, -4], [2, 2]);
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const b = [[5, 3], [4, -7]];
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const expected = [5, 6, -12, 28];
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const result = a.mul(b);
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expect(result.shape).toEqual([2, 2]);
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expectArraysClose(await result.data(), expected);
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});
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it('broadcasting tensors', async () => {
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const a = tf.tensor2d([1, 2, -3, -4], [2, 2]);
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const b = tf.scalar(2);
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const expected = [2, 4, -6, -8];
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const result = tf.mul(a, b);
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expect(result.shape).toEqual([2, 2]);
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expectArraysClose(await result.data(), expected);
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});
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it('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.mul(a, b);
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expect(result.shape).toEqual([2, 2]);
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const expected = [2, 4, -9, -12];
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expectArraysClose(await result.data(), expected);
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});
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it('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.mul(a, b);
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expect(result.shape).toEqual([2, 2]);
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const expected = [1, 4, -3, -8];
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expectArraysClose(await result.data(), expected);
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});
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it('broadcast 5D + 2D', async () => {
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const a = tf.range(1, 33).reshape([2, 2, 2, 2, 2]);
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const b = tf.tensor([2, 3], [2, 1]);
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const result = tf.mul(a, b);
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expect(result.shape).toEqual([2, 2, 2, 2, 2]);
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const expected = [
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2, 4, 9, 12, 10, 12, 21, 24, 18, 20, 33, 36, 26, 28, 45, 48,
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34, 36, 57, 60, 42, 44, 69, 72, 50, 52, 81, 84, 58, 60, 93, 96
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];
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expectArraysClose(await result.data(), expected);
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});
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it('broadcast 6D + 2D', async () => {
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const a = tf.range(1, 65).reshape([2, 2, 2, 2, 2, 2]);
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const b = tf.tensor([2, 3], [2, 1]);
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const result = tf.mul(a, b);
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expect(result.shape).toEqual([2, 2, 2, 2, 2, 2]);
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const expected = [
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2, 4, 9, 12, 10, 12, 21, 24, 18, 20, 33, 36, 26,
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28, 45, 48, 34, 36, 57, 60, 42, 44, 69, 72, 50, 52,
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81, 84, 58, 60, 93, 96, 66, 68, 105, 108, 74, 76, 117,
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120, 82, 84, 129, 132, 90, 92, 141, 144, 98, 100, 153, 156,
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106, 108, 165, 168, 114, 116, 177, 180, 122, 124, 189, 192
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];
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expectArraysClose(await result.data(), expected);
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});
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it('gradient: Scalar', async () => {
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const a = tf.scalar(5);
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const b = tf.scalar(2);
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const dy = tf.scalar(4);
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const grads = tf.grads((a, b) => tf.mul(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(), await b.mul(dy).data());
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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(), await a.mul(dy).data());
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});
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it('gradient with clones', async () => {
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const grads = tf.grads((a, b) => tf.mul(a.clone(), b.clone()).clone());
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const [da, db] = grads([4, 2]);
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expect(da.shape).toEqual([]);
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expect(da.dtype).toEqual('float32');
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expectArraysClose(await da.data(), 2);
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expect(db.shape).toEqual([]);
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expect(db.dtype).toEqual('float32');
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expectArraysClose(await db.data(), 4);
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});
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it('gradient: Tensor1D', async () => {
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const a = tf.tensor1d([1, 2, 3]);
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const b = tf.tensor1d([3, 4, 5]);
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const dy = tf.tensor1d([1, 10, 20]);
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const grads = tf.grads((a, b) => tf.mul(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(), [3 * 1, 4 * 10, 5 * 20]);
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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(), [1 * 1, 2 * 10, 3 * 20]);
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});
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it('gradient: Tensor1D with dtype int32', async () => {
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const a = tf.tensor1d([1, 2, 3], 'int32');
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const b = tf.tensor1d([3, 4, 5], 'int32');
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const dy = tf.tensor1d([1, 10, 20]);
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const grads = tf.grads((a, b) => tf.mul(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(db.dtype).toEqual('float32');
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expectArraysClose(await da.data(), [3 * 1, 4 * 10, 5 * 20]);
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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(), [1 * 1, 2 * 10, 3 * 20]);
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});
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it('gradient: Tensor2D', async () => {
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const a = tf.tensor2d([3, 1, 2, 3], [2, 2]);
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const b = tf.tensor2d([1, 3, 4, 5], [2, 2]);
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const dy = tf.tensor2d([1, 10, 15, 20], [2, 2]);
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const grads = tf.grads((a, b) => tf.mul(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(), [1 * 1, 3 * 10, 4 * 15, 5 * 20]);
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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(), [3 * 1, 1 * 10, 2 * 15, 3 * 20]);
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});
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it('gradient: scalar * Tensor1D', 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([6, 7, 8]);
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const grads = tf.grads((a, b) => tf.mul(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(), [3 * 6 + 4 * 7 + 5 * 8]);
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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(), [2 * 6, 2 * 7, 2 * 8]);
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});
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it('gradient: Tensor2D * scalar', async () => {
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const a = tf.tensor2d([[2, 3], [4, 5]], [2, 2]);
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const b = tf.scalar(2);
|
const dy = tf.tensor2d([[6, 7], [8, 9]], [2, 2]);
|
const grads = tf.grads((a, b) => tf.mul(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(da.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [2 * 6, 2 * 7, 2 * 8, 2 * 9]);
|
expect(db.shape).toEqual(b.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await db.data(), [2 * 6 + 3 * 7 + 4 * 8 + 5 * 9]);
|
});
|
it('gradient: Tensor2D * Tensor2D w/ broadcast', async () => {
|
const a = tf.tensor2d([3, 4], [2, 1]);
|
const b = tf.tensor2d([[2, 3], [4, 5]], [2, 2]);
|
const dy = tf.tensor2d([[6, 7], [8, 9]], [2, 2]);
|
const grads = tf.grads((a, b) => tf.mul(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(da.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [2 * 6 + 3 * 7, 4 * 8 + 5 * 9]);
|
expect(db.shape).toEqual(b.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await db.data(), [6 * 3, 7 * 3, 8 * 4, 9 * 4]);
|
});
|
it('complex number multiplication', async () => {
|
const real1 = tf.tensor1d([2]);
|
const imag1 = tf.tensor1d([3]);
|
const complex1 = tf.complex(real1, imag1);
|
const real2 = tf.tensor1d([4]);
|
const imag2 = tf.tensor1d([5]);
|
const complex2 = tf.complex(real2, imag2);
|
const result = complex1.mul(complex2);
|
expect(result.dtype).toBe('complex64');
|
expect(result.shape).toEqual([1]);
|
expectArraysClose(await result.data(), [2 * 4 - 3 * 5, 2 * 5 + 3 * 4]);
|
});
|
it('complex number broadcasting multiplication', async () => {
|
const real1 = tf.tensor2d([1, 2, -3, -4], [2, 2]);
|
const imag1 = tf.tensor2d([10, 20, -30, -40], [2, 2]);
|
const complex1 = tf.complex(real1, imag1);
|
const real2 = tf.tensor1d([4]);
|
const imag2 = tf.tensor1d([5]);
|
const complex2 = tf.complex(real2, imag2);
|
const result = tf.mul(complex1, complex2);
|
expect(result.dtype).toEqual('complex64');
|
expect(result.shape).toEqual([2, 2]);
|
expectArraysClose(await result.data(), [
|
1 * 4 - 10 * 5, 1 * 5 + 10 * 4, 2 * 4 - 20 * 5, 2 * 5 + 20 * 4,
|
-3 * 4 + 30 * 5, -3 * 5 + -30 * 4, -4 * 4 + 40 * 5, -4 * 5 + -40 * 4
|
]);
|
});
|
it('throws when passed a as a non-tensor', () => {
|
expect(() => tf.mul({}, tf.scalar(1)))
|
.toThrowError(/Argument 'a' passed to 'mul' must be a Tensor/);
|
});
|
it('throws when passed b as a non-tensor', () => {
|
expect(() => tf.mul(tf.scalar(1), {}))
|
.toThrowError(/Argument 'b' passed to 'mul' must be a Tensor/);
|
});
|
it('upcasts when dtypes dont match', async () => {
|
let res = tf.mul(tf.scalar(2, 'int32'), tf.scalar(3, 'float32'));
|
expect(res.dtype).toBe('float32');
|
expectArraysClose(await res.data(), [6]);
|
res = tf.mul(tf.scalar(2, 'int32'), tf.scalar(true, 'bool'));
|
expect(res.dtype).toBe('int32');
|
expectArraysClose(await res.data(), [2]);
|
res = tf.mul(tf.scalar(2, 'int32'), tf.scalar(false, 'bool'));
|
expect(res.dtype).toBe('int32');
|
expectArraysClose(await res.data(), [0]);
|
});
|
it('accepts a tensor-like object', async () => {
|
const result = tf.mul([[1, 2], [-3, -4]], 2);
|
expect(result.shape).toEqual([2, 2]);
|
expectArraysClose(await result.data(), [2, 4, -6, -8]);
|
});
|
});
|
describeWithFlags('pow', ALL_ENVS, () => {
|
it('same-shaped tensors', async () => {
|
const a = tf.tensor2d([1, -2, -3, 0, 7, 1], [2, 3]);
|
const b = tf.tensor2d([5, 3, 4, 5, 2, -3], [2, 3], 'int32');
|
const expected = [1, -8, 81, 0, 49, 1];
|
const result = tf.pow(a, b);
|
expect(result.shape).toEqual([2, 3]);
|
expectArraysClose(await result.data(), expected, 0.01);
|
});
|
it('TensorLike', async () => {
|
const a = [1, 2, 3];
|
const exp = 2;
|
const result = tf.pow(a, exp);
|
expect(result.shape).toEqual([3]);
|
expect(result.dtype).toBe('float32');
|
expectArraysClose(await result.data(), [1, 4, 9]);
|
});
|
it('TensorLike chained', async () => {
|
const a = tf.tensor1d([1, 2, 3]);
|
const exp = 2;
|
const result = a.pow(exp);
|
expect(result.shape).toEqual([3]);
|
expect(result.dtype).toBe('float32');
|
expectArraysClose(await result.data(), [1, 4, 9]);
|
});
|
it('int32^int32 returns int32', async () => {
|
const a = tf.tensor1d([1, 2, 3], 'int32');
|
const exp = tf.scalar(2, 'int32');
|
const result = tf.pow(a, exp);
|
expect(result.shape).toEqual([3]);
|
expect(result.dtype).toBe('int32');
|
expectArraysEqual(await result.data(), [1, 4, 9]);
|
});
|
it('different-shaped tensors', async () => {
|
const a = tf.tensor2d([1, -2, -3, 0, 7, 1], [2, 3]);
|
const b = tf.scalar(2, 'int32');
|
const expected = [1, 4, 9, 0, 49, 1];
|
const result = tf.pow(a, b);
|
expect(result.shape).toEqual([2, 3]);
|
expectArraysClose(await result.data(), expected, 0.05);
|
});
|
it('propagates NaNs', async () => {
|
const a = tf.tensor2d([NaN, 3, NaN, 0], [2, 2]);
|
const b = tf.tensor2d([1, 3, 2, 3], [2, 2], 'int32');
|
const result = tf.pow(a, b);
|
expectArraysClose(await result.data(), [NaN, 27, NaN, 0], 0.05);
|
});
|
it('exponent of 0 returns 1', async () => {
|
const a = tf.tensor1d([-2, -1, 0, 1, 2]);
|
const b = tf.scalar(0);
|
const result = tf.pow(a, b);
|
expectArraysClose(await result.data(), [1, 1, 1, 1, 1]);
|
});
|
it('handles non int32 exponent param', async () => {
|
const a = tf.tensor1d([2, 4]);
|
const b = tf.tensor1d([.5, 1.2]);
|
const result = tf.pow(a, b);
|
const expected = [Math.pow(2, 0.5), Math.pow(4, 1.2)];
|
expectArraysClose(await result.data(), expected);
|
});
|
it('broadcasting same rank Tensors different shape', async () => {
|
const a = tf.tensor2d([1, 2, -3, -4], [2, 2]);
|
const b = tf.tensor2d([2, 1], [2, 1], 'int32');
|
const result = tf.pow(a, b);
|
expect(result.shape).toEqual([2, 2]);
|
const expected = [1, 4, -3, -4];
|
expectArraysClose(await result.data(), expected);
|
});
|
it('broadcast 2D + 1D', async () => {
|
const a = tf.tensor2d([1, 2, -3, -4], [2, 2]);
|
const b = tf.tensor1d([1, 2], 'int32');
|
const result = tf.pow(a, b);
|
expect(result.shape).toEqual([2, 2]);
|
const expected = [1, 4, -3, 16];
|
expectArraysClose(await result.data(), expected);
|
});
|
it('gradients: Scalar ^ Scalar', async () => {
|
const a = tf.scalar(5);
|
const b = tf.scalar(2, 'int32');
|
const dy = tf.scalar(3);
|
const grads = tf.grads((a, b) => tf.pow(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(da.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [2 * 5 * 3]);
|
expect(db.shape).toEqual(b.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await db.data(), [3 * Math.pow(5, 2) * Math.log(5)]);
|
});
|
it('gradient with clones', async () => {
|
const a = tf.scalar(5);
|
const b = tf.scalar(2, 'int32');
|
const grads = tf.grads((a, b) => tf.pow(a.clone(), b.clone()).clone());
|
const [da, db] = grads([a, b]);
|
expect(da.shape).toEqual(a.shape);
|
expect(da.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [2 * 5]);
|
expect(db.shape).toEqual(b.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await db.data(), [Math.pow(5, 2) * Math.log(5)]);
|
});
|
it('gradients: x ^ 2 where x = 0', async () => {
|
const f = (x) => x.pow(tf.scalar(2)).asScalar();
|
const g = tf.grad(f)(tf.scalar(0));
|
expectArraysClose(await g.data(), [0]);
|
});
|
it('gradients: Scalar ^ Scalar fractional exponent', async () => {
|
const a = tf.scalar(4.0);
|
const b = tf.scalar(1.5);
|
const dy = tf.scalar(3.0);
|
const grads = tf.grads((a, b) => tf.pow(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(da.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [1.5 * Math.pow(4, 0.5) * 3]);
|
expect(db.shape).toEqual(b.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await db.data(), [3.0 * Math.pow(4, 1.5) * Math.log(4.0)]);
|
});
|
it('gradients: Tensor ^ Tensor', async () => {
|
const a = tf.tensor1d([-1, .5, 2]);
|
const b = tf.tensor1d([3, 2, -1], 'int32');
|
const dy = tf.tensor1d([1, 5, 10]);
|
const grads = tf.grads((a, b) => tf.pow(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(da.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [
|
3 * Math.pow(-1, 2) * 1, 2 * Math.pow(.5, 1) * 5,
|
-1 * Math.pow(2, -2) * 10
|
], 1e-1);
|
expect(db.shape).toEqual(b.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await db.data(), [
|
0, 5 * Math.pow(.5, 2) * Math.log(.5), 10 * Math.pow(2, -1) * Math.log(2)
|
]);
|
});
|
it('gradient wrt exponent with negative base', async () => {
|
const a = tf.tensor1d([-1, -.5, -2.7]);
|
const b = tf.tensor1d([3, 2, -1], 'int32');
|
const dy = tf.tensor1d([1, 1, 1]);
|
const grads = tf.grads((a, b) => tf.pow(a, b));
|
const [, db] = grads([a, b], dy);
|
expect(db.shape).toEqual(b.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await db.data(), [0, 0, 0]);
|
});
|
it('gradient: scalar / Tensor1D', async () => {
|
const a = tf.scalar(2);
|
const b = tf.tensor1d([3, 4, 5]);
|
const dy = tf.tensor1d([6, 7, 8]);
|
const grads = tf.grads((a, b) => tf.pow(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(da.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [
|
6 * 3 * Math.pow(2, 2) + 7 * 4 * Math.pow(2, 3) + 8 * 5 * Math.pow(2, 4)
|
]);
|
expect(db.shape).toEqual(b.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await db.data(), [
|
6 * Math.pow(2, 3) * Math.log(2), 7 * Math.pow(2, 4) * Math.log(2),
|
8 * Math.pow(2, 5) * Math.log(2)
|
]);
|
});
|
it('gradient: Tensor2D / scalar', async () => {
|
const a = tf.tensor2d([[2, 3], [4, 5]], [2, 2]);
|
const b = tf.scalar(2);
|
const dy = tf.tensor2d([[6, 7], [8, 9]], [2, 2]);
|
const grads = tf.grads((a, b) => tf.pow(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(da.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [
|
6 * 2 * Math.pow(2, 1), 7 * 2 * Math.pow(3, 1), 8 * 2 * Math.pow(4, 1),
|
9 * 2 * Math.pow(5, 1)
|
]);
|
expect(db.shape).toEqual(b.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await db.data(), [6 * Math.pow(2, 2) * Math.log(2) + 7 * Math.pow(3, 2) * Math.log(3) +
|
8 * Math.pow(4, 2) * Math.log(4) + 9 * Math.pow(5, 2) * Math.log(5)]);
|
});
|
it('gradient: Tensor2D / Tensor2D w/ broadcast', async () => {
|
const a = tf.tensor2d([3, 4], [2, 1]);
|
const b = tf.tensor2d([[2, 3], [.4, .5]], [2, 2]);
|
const dy = tf.tensor2d([[6, 7], [8, 9]], [2, 2]);
|
const grads = tf.grads((a, b) => tf.pow(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(da.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [
|
6 * 2 * Math.pow(3, 1) + 7 * 3 * Math.pow(3, 2),
|
8 * .4 * Math.pow(4, .4 - 1) + 9 * .5 * Math.pow(4, .5 - 1)
|
]);
|
expect(db.shape).toEqual(b.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await db.data(), [
|
6 * Math.pow(3, 2) * Math.log(3), 7 * Math.pow(3, 3) * Math.log(3),
|
8 * Math.pow(4, .4) * Math.log(4), 9 * Math.pow(4, .5) * Math.log(4)
|
]);
|
});
|
it('throws when passed base as a non-tensor', () => {
|
expect(() => tf.pow({}, tf.scalar(1)))
|
.toThrowError(/Argument 'base' passed to 'pow' must be a Tensor/);
|
});
|
it('throws when passed exp as a non-tensor', () => {
|
expect(() => tf.pow(tf.scalar(1), {}))
|
.toThrowError(/Argument 'exp' passed to 'pow' must be a Tensor/);
|
});
|
it('accepts a tensor-like object', async () => {
|
const result = tf.pow([1, 2, 3], 2);
|
expect(result.shape).toEqual([3]);
|
expect(result.dtype).toBe('float32');
|
expectArraysClose(await result.data(), [1, 4, 9]);
|
});
|
it('negative base and whole exponent not NaN', async () => {
|
const a = tf.tensor1d([-2, -3, -4], 'float32');
|
const b = tf.tensor1d([2, -3, 4], 'float32');
|
const expected = [Math.pow(-2, 2), Math.pow(-3, -3), Math.pow(-4, 4)];
|
const result = tf.pow(a, b);
|
expectArraysClose(await result.data(), expected);
|
});
|
it('negative base and whole exponent not NaN - vec4', async () => {
|
const a = tf.tensor1d([-2, -3, -4, -5], 'float32');
|
const b = tf.tensor1d([2, -3, 4, -5], 'float32');
|
const expected = [Math.pow(-2, 2), Math.pow(-3, -3), Math.pow(-4, 4), Math.pow(-5, -5)];
|
const result = tf.pow(a, b);
|
expectArraysClose(await result.data(), expected);
|
});
|
it('negative base and fract exponent NaN', async () => {
|
const a = tf.tensor1d([-2, -3, -4], 'float32');
|
const b = tf.tensor1d([2.1, -3.01, 4.1], 'float32');
|
const expected = [NaN, NaN, NaN];
|
const result = tf.pow(a, b);
|
expectArraysClose(await result.data(), expected);
|
});
|
});
|
//# 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* @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, expectArraysEqual} from '../test_util';\n\ndescribeWithFlags('div', ALL_ENVS, () => {\n  it('same shape', async () => {\n    const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);\n    const c = tf.tensor2d([1, 2, 3, 4, 2, 5], [2, 3]);\n\n    const r = tf.div(a, c);\n\n    expectArraysClose(await r.data(), [1, 1, 1, 1, 2.5, 6 / 5]);\n  });\n\n  it('vec4 same shape', async () => {\n    const a = tf.tensor2d([1, 2, -3, -4], [2, 2]);\n    const b = tf.tensor2d([5, 3, 4, -7], [2, 2]);\n    const expected = [0.2, 0.666, -0.75, 0.571];\n    const result = tf.div(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('TensorLike', async () => {\n    const a = [0, 1, -2, -4, 4, -4];\n    const b = [0.15, 0.2, 0.25, 0.5, 0.7, 1.2];\n    const result = tf.div(a, b);\n\n    expect(result.shape).toEqual([6]);\n    expectArraysClose(\n        await result.data(),\n        [0, 5.0, -8.0, -8.0, 5.714285850524902, -3.3333332538604736]);\n  });\n\n  it('TensorLike chained', async () => {\n    const a = tf.tensor1d([0, 1, -2, -4, 4, -4]);\n    const b = [0.15, 0.2, 0.25, 0.5, 0.7, 1.2];\n    const result = a.div(b);\n\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(\n        await result.data(),\n        [0, 5.0, -8.0, -8.0, 5.714285850524902, -3.3333332538604736]);\n  });\n\n  it('division by zero results in infinity', async () => {\n    const r = tf.div(1, 0);\n    const rData = await r.data();\n\n    expect(Array.from(rData)).toEqual([Infinity]);\n  });\n\n  it('integer division implements floor divide', async () => {\n    const a = tf.tensor1d([-6, -6, -5, -4, -3, -3, 3, 3, 2], 'int32');\n    const c = tf.tensor1d([-2, 2, 3, 2, -3, 3, 2, 3, 2], 'int32');\n\n    const r = tf.div(a, c);\n\n    expect(r.dtype).toEqual('int32');\n    expectArraysClose(await r.data(), [3, -3, -2, -2, 1, -1, 1, 1, 1]);\n  });\n\n  it('integer division broadcasts', async () => {\n    const a = tf.tensor1d([-5, -4, 3, 2], 'int32');\n    const c = tf.scalar(2, 'int32');\n\n    const r = tf.div(a, c);\n\n    expect(r.dtype).toEqual('int32');\n    expectArraysClose(await r.data(), [-3, -2, 1, 1]);\n  });\n\n  it('propagates NaNs', async () => {\n    const a = tf.tensor2d([1, 2], [2, 1]);\n    const c = tf.tensor2d([3, NaN], [2, 1]);\n\n    const r = tf.div(a, c);\n\n    expectArraysClose(await r.data(), [1 / 3, NaN]);\n  });\n\n  it('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.div(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    const expected = [1 / 2, 1, -1, -4 / 3];\n\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('broadcast scalar', async () => {\n    const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n    const b = [2];\n\n    const result = tf.div(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    const expected = [0.5, 1, 1.5, 2];\n\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('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.div(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    const expected = [1, 1, -3, -2];\n\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('upcasts when dtypes dont match', async () => {\n    let res = tf.div(tf.scalar(6, 'int32'), tf.scalar(3, 'float32'));\n    expect(res.dtype).toBe('float32');\n    expectArraysClose(await res.data(), [2]);\n\n    res = tf.div(tf.scalar(6, 'int32'), tf.scalar(true, 'bool'));\n    expect(res.dtype).toBe('int32');\n    expectArraysClose(await res.data(), [6]);\n  });\n\n  it('throws when passed tensors of different shapes', () => {\n    const a = tf.tensor2d([1, 2, -3, -4, 5, 6], [2, 3]);\n    const b = tf.tensor2d([5, 3, 4, -7], [2, 2]);\n\n    expect(() => tf.div(a, b)).toThrowError();\n    expect(() => tf.div(b, a)).toThrowError();\n  });\n\n  it('scalar divided by array', async () => {\n    const c = tf.scalar(2);\n    const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);\n\n    const r = tf.div(c, a);\n\n    expectArraysClose(\n        await r.data(), [2 / 1, 2 / 2, 2 / 3, 2 / 4, 2 / 5, 2 / 6]);\n  });\n\n  it('scalar divided by array propagates NaNs', async () => {\n    const c = tf.scalar(NaN);\n    const a = tf.tensor2d([1, 2, 3], [1, 3]);\n\n    const r = tf.div(c, a);\n\n    expectArraysEqual(await r.data(), [NaN, NaN, NaN]);\n  });\n\n  it('array divided by scalar', async () => {\n    const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);\n    const c = tf.scalar(2);\n\n    const r = tf.div(a, c);\n\n    expectArraysClose(\n        await r.data(), [1 / 2, 2 / 2, 3 / 2, 4 / 2, 5 / 2, 6 / 2]);\n  });\n\n  it('array divided by scalar propagates NaNs', async () => {\n    const a = tf.tensor2d([1, 2, NaN], [1, 3]);\n    const c = tf.scalar(2);\n\n    const r = tf.div(a, c);\n    expectArraysClose(await r.data(), [1 / 2, 2 / 2, NaN]);\n  });\n\n  it('gradient: Scalar', async () => {\n    const a = tf.scalar(5);\n    const b = tf.scalar(2);\n    const dy = tf.scalar(4);\n\n    const before = tf.memory().numTensors;\n    const grads = tf.grads((a, b) => tf.div(a, b));\n    const [da, db] = grads([a, b], dy);\n    const now = tf.memory().numTensors;\n    expect(now).toBe(before + 2);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(da.dtype).toEqual('float32');\n    expectArraysClose(await da.data(), [4 / 2]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [-4 * 5 / (2 * 2)]);\n  });\n\n  it('gradient with clones', async () => {\n    const grads = tf.grads((a, b) => tf.div(a.clone(), b.clone()).clone());\n    const [da, db] = grads([5, 2]);\n    expect(da.shape).toEqual([]);\n    expect(db.shape).toEqual([]);\n    expectArraysClose(await da.data(), [1 / 2]);\n    expectArraysClose(await db.data(), [-5 / 4]);\n  });\n\n  it('gradient: Tensor1D', async () => {\n    const a = tf.tensor1d([1, 2, 3]);\n    const b = tf.tensor1d([3, 4, 5]);\n    const dy = tf.tensor1d([1, 10, 20]);\n\n    const grads = tf.grads((a, b) => tf.div(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await da.data(), [1 / 3, 10 / 4, 20 / 5]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(\n        await db.data(), [-1 * 1 / 9, -10 * 2 / 16, -20 * 3 / 25]);\n  });\n\n  it('gradient: Tensor1D with int32', async () => {\n    const a = tf.tensor1d([1, 2, 3], 'int32');\n    const b = tf.tensor1d([3, 4, 5], 'int32');\n    const dy = tf.tensor1d([1, 10, 20]);\n\n    const grads = tf.grads((a, b) => tf.div(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await da.data(), [1 / 3, 10 / 4, 20 / 5]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(\n        await db.data(), [-1 * 1 / 9, -10 * 2 / 16, -20 * 3 / 25]);\n  });\n\n  it('gradient: 1d<int32> with 1d<bool> ', async () => {\n    const a = tf.tensor1d([true, false, true], 'bool');\n    const b = tf.tensor1d([1, 2, 3], 'int32');\n    const dy = tf.tensor1d([1, 19, 20]);\n\n    const grads = tf.grads((a, b) => tf.div(a.toInt(), b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await da.data(), [1, 19 / 2, 20 / 3]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [-1 / 1, 0, -20 / 9]);\n  });\n\n  it('gradient: Tensor2D', async () => {\n    const a = tf.tensor2d([3, 1, 2, 3], [2, 2]);\n    const b = tf.tensor2d([1, 3, 4, 5], [2, 2]);\n    const dy = tf.tensor2d([1, 10, 15, 20], [2, 2]);\n\n    const grads = tf.grads((a, b) => tf.div(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(), [1 / 1, 10 / 3, 15 / 4, 20 / 5]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(\n        await db.data(), [-1 * 3 / 1, -10 * 1 / 9, -15 * 2 / 16, -20 * 3 / 25]);\n  });\n\n  it('gradient: scalar / Tensor1D', async () => {\n    const a = tf.scalar(2);\n    const b = tf.tensor1d([3, 4, 5]);\n    const dy = tf.tensor1d([6, 7, 8]);\n\n    const grads = tf.grads((a, b) => tf.div(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(), [6 / 3 + 7 / 4 + 8 / 5]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [-6 * 2 / 9, -7 * 2 / 16, -8 * 2 / 25]);\n  });\n\n  it('gradient: Tensor2D / scalar', async () => {\n    const a = tf.tensor2d([[2, 3], [4, 5]], [2, 2]);\n    const b = tf.scalar(2);\n    const dy = tf.tensor2d([[6, 7], [8, 9]], [2, 2]);\n\n    const grads = tf.grads((a, b) => tf.div(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(), [6 / 2, 7 / 2, 8 / 2, 9 / 2]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(\n        await db.data(), [-6 * 2 / 4 + -7 * 3 / 4 + -8 * 4 / 4 + -9 * 5 / 4]);\n  });\n\n  it('gradient: Tensor2D / Tensor2D w/ broadcast', async () => {\n    const a = tf.tensor2d([3, 4], [2, 1]);\n    const b = tf.tensor2d([[2, 3], [4, 5]], [2, 2]);\n    const dy = tf.tensor2d([[6, 7], [8, 9]], [2, 2]);\n\n    const grads = tf.grads((a, b) => tf.div(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(), [6 / 2 + 7 / 3, 8 / 4 + 9 / 5]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(\n        await db.data(), [-6 * 3 / 4, -7 * 3 / 9, -8 * 4 / 16, -9 * 4 / 25]);\n  });\n\n  it('throws when passed a as a non-tensor', () => {\n    expect(() => tf.div({} as tf.Tensor, tf.scalar(1)))\n        .toThrowError(/Argument 'a' passed to 'div' must be a Tensor/);\n  });\n\n  it('throws when passed b as a non-tensor', () => {\n    expect(() => tf.div(tf.scalar(1), {} as tf.Tensor))\n        .toThrowError(/Argument 'b' passed to 'div' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const r = tf.div([[1, 2, 3], [4, 5, 6]], 2);\n    expect(r.shape).toEqual([2, 3]);\n    expectArraysClose(\n        await r.data(), [1 / 2, 2 / 2, 3 / 2, 4 / 2, 5 / 2, 6 / 2]);\n  });\n});\n\ndescribeWithFlags('mul', ALL_ENVS, () => {\n  it('same-shaped tensors', async () => {\n    const a = tf.tensor2d([1, 2, -3, -4], [2, 2]);\n    const b = tf.tensor2d([5, 3, 4, -7], [2, 2]);\n    const expected = [5, 6, -12, 28];\n    const result = tf.mul(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('TensorLike', async () => {\n    const a = [[1, 2], [-3, -4]];\n    const b = [[5, 3], [4, -7]];\n    const expected = [5, 6, -12, 28];\n    const result = tf.mul(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('TensorLike chained', async () => {\n    const a = tf.tensor2d([1, 2, -3, -4], [2, 2]);\n    const b = [[5, 3], [4, -7]];\n    const expected = [5, 6, -12, 28];\n    const result = a.mul(b);\n\n    expect(result.shape).toEqual([2, 2]);\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('broadcasting tensors', async () => {\n    const a = tf.tensor2d([1, 2, -3, -4], [2, 2]);\n    const b = tf.scalar(2);\n    const expected = [2, 4, -6, -8];\n    const result = tf.mul(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('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.mul(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    const expected = [2, 4, -9, -12];\n\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('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.mul(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    const expected = [1, 4, -3, -8];\n\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('broadcast 5D + 2D', async () => {\n    const a = tf.range(1, 33).reshape([2, 2, 2, 2, 2]);\n    const b = tf.tensor([2, 3], [2, 1]);\n    const result = tf.mul(a, b);\n    expect(result.shape).toEqual([2, 2, 2, 2, 2]);\n    const expected = [\n      2,  4,  9,  12, 10, 12, 21, 24, 18, 20, 33, 36, 26, 28, 45, 48,\n      34, 36, 57, 60, 42, 44, 69, 72, 50, 52, 81, 84, 58, 60, 93, 96\n    ];\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('broadcast 6D + 2D', async () => {\n    const a = tf.range(1, 65).reshape([2, 2, 2, 2, 2, 2]);\n    const b = tf.tensor([2, 3], [2, 1]);\n    const result = tf.mul(a, b);\n    expect(result.shape).toEqual([2, 2, 2, 2, 2, 2]);\n    const expected = [\n      2,   4,   9,   12,  10,  12,  21,  24,  18,  20,  33,  36,  26,\n      28,  45,  48,  34,  36,  57,  60,  42,  44,  69,  72,  50,  52,\n      81,  84,  58,  60,  93,  96,  66,  68,  105, 108, 74,  76,  117,\n      120, 82,  84,  129, 132, 90,  92,  141, 144, 98,  100, 153, 156,\n      106, 108, 165, 168, 114, 116, 177, 180, 122, 124, 189, 192\n    ];\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('gradient: Scalar', async () => {\n    const a = tf.scalar(5);\n    const b = tf.scalar(2);\n    const dy = tf.scalar(4);\n\n    const grads = tf.grads((a, b) => tf.mul(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(), await b.mul(dy).data());\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), await a.mul(dy).data());\n  });\n\n  it('gradient with clones', async () => {\n    const grads = tf.grads((a, b) => tf.mul(a.clone(), b.clone()).clone());\n    const [da, db] = grads([4, 2]);\n\n    expect(da.shape).toEqual([]);\n    expect(da.dtype).toEqual('float32');\n    expectArraysClose(await da.data(), 2);\n\n    expect(db.shape).toEqual([]);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), 4);\n  });\n\n  it('gradient: Tensor1D', async () => {\n    const a = tf.tensor1d([1, 2, 3]);\n    const b = tf.tensor1d([3, 4, 5]);\n    const dy = tf.tensor1d([1, 10, 20]);\n\n    const grads = tf.grads((a, b) => tf.mul(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(), [3 * 1, 4 * 10, 5 * 20]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [1 * 1, 2 * 10, 3 * 20]);\n  });\n\n  it('gradient: Tensor1D with dtype int32', async () => {\n    const a = tf.tensor1d([1, 2, 3], 'int32');\n    const b = tf.tensor1d([3, 4, 5], 'int32');\n    const dy = tf.tensor1d([1, 10, 20]);\n\n    const grads = tf.grads((a, b) => tf.mul(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await da.data(), [3 * 1, 4 * 10, 5 * 20]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [1 * 1, 2 * 10, 3 * 20]);\n  });\n\n  it('gradient: Tensor2D', async () => {\n    const a = tf.tensor2d([3, 1, 2, 3], [2, 2]);\n    const b = tf.tensor2d([1, 3, 4, 5], [2, 2]);\n    const dy = tf.tensor2d([1, 10, 15, 20], [2, 2]);\n\n    const grads = tf.grads((a, b) => tf.mul(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(), [1 * 1, 3 * 10, 4 * 15, 5 * 20]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [3 * 1, 1 * 10, 2 * 15, 3 * 20]);\n  });\n\n  it('gradient: scalar * Tensor1D', async () => {\n    const a = tf.scalar(2);\n    const b = tf.tensor1d([3, 4, 5]);\n    const dy = tf.tensor1d([6, 7, 8]);\n\n    const grads = tf.grads((a, b) => tf.mul(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(), [3 * 6 + 4 * 7 + 5 * 8]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [2 * 6, 2 * 7, 2 * 8]);\n  });\n\n  it('gradient: Tensor2D * scalar', async () => {\n    const a = tf.tensor2d([[2, 3], [4, 5]], [2, 2]);\n    const b = tf.scalar(2);\n    const dy = tf.tensor2d([[6, 7], [8, 9]], [2, 2]);\n\n    const grads = tf.grads((a, b) => tf.mul(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(), [2 * 6, 2 * 7, 2 * 8, 2 * 9]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [2 * 6 + 3 * 7 + 4 * 8 + 5 * 9]);\n  });\n\n  it('gradient: Tensor2D * Tensor2D w/ broadcast', async () => {\n    const a = tf.tensor2d([3, 4], [2, 1]);\n    const b = tf.tensor2d([[2, 3], [4, 5]], [2, 2]);\n    const dy = tf.tensor2d([[6, 7], [8, 9]], [2, 2]);\n\n    const grads = tf.grads((a, b) => tf.mul(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(), [2 * 6 + 3 * 7, 4 * 8 + 5 * 9]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [6 * 3, 7 * 3, 8 * 4, 9 * 4]);\n  });\n\n  it('complex number multiplication', async () => {\n    const real1 = tf.tensor1d([2]);\n    const imag1 = tf.tensor1d([3]);\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 = complex1.mul(complex2);\n\n    expect(result.dtype).toBe('complex64');\n    expect(result.shape).toEqual([1]);\n    expectArraysClose(await result.data(), [2 * 4 - 3 * 5, 2 * 5 + 3 * 4]);\n  });\n\n  it('complex number broadcasting multiplication', 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.mul(complex1, complex2);\n\n    expect(result.dtype).toEqual('complex64');\n    expect(result.shape).toEqual([2, 2]);\n    expectArraysClose(await result.data(), [\n      1 * 4 - 10 * 5, 1 * 5 + 10 * 4, 2 * 4 - 20 * 5, 2 * 5 + 20 * 4,\n      -3 * 4 + 30 * 5, -3 * 5 + -30 * 4, -4 * 4 + 40 * 5, -4 * 5 + -40 * 4\n    ]);\n  });\n\n  it('throws when passed a as a non-tensor', () => {\n    expect(() => tf.mul({} as tf.Tensor, tf.scalar(1)))\n        .toThrowError(/Argument 'a' passed to 'mul' must be a Tensor/);\n  });\n  it('throws when passed b as a non-tensor', () => {\n    expect(() => tf.mul(tf.scalar(1), {} as tf.Tensor))\n        .toThrowError(/Argument 'b' passed to 'mul' must be a Tensor/);\n  });\n  it('upcasts when dtypes dont match', async () => {\n    let res = tf.mul(tf.scalar(2, 'int32'), tf.scalar(3, 'float32'));\n    expect(res.dtype).toBe('float32');\n    expectArraysClose(await res.data(), [6]);\n\n    res = tf.mul(tf.scalar(2, 'int32'), tf.scalar(true, 'bool'));\n    expect(res.dtype).toBe('int32');\n    expectArraysClose(await res.data(), [2]);\n\n    res = tf.mul(tf.scalar(2, 'int32'), tf.scalar(false, 'bool'));\n    expect(res.dtype).toBe('int32');\n    expectArraysClose(await res.data(), [0]);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const result = tf.mul([[1, 2], [-3, -4]], 2);\n    expect(result.shape).toEqual([2, 2]);\n    expectArraysClose(await result.data(), [2, 4, -6, -8]);\n  });\n});\n\ndescribeWithFlags('pow', ALL_ENVS, () => {\n  it('same-shaped tensors', async () => {\n    const a = tf.tensor2d([1, -2, -3, 0, 7, 1], [2, 3]);\n    const b = tf.tensor2d([5, 3, 4, 5, 2, -3], [2, 3], 'int32');\n    const expected = [1, -8, 81, 0, 49, 1];\n    const result = tf.pow(a, b);\n\n    expect(result.shape).toEqual([2, 3]);\n    expectArraysClose(await result.data(), expected, 0.01);\n  });\n\n  it('TensorLike', async () => {\n    const a = [1, 2, 3];\n    const exp = 2;\n\n    const result = tf.pow(a, exp);\n\n    expect(result.shape).toEqual([3]);\n    expect(result.dtype).toBe('float32');\n    expectArraysClose(await result.data(), [1, 4, 9]);\n  });\n\n  it('TensorLike chained', async () => {\n    const a = tf.tensor1d([1, 2, 3]);\n    const exp = 2;\n\n    const result = a.pow(exp);\n\n    expect(result.shape).toEqual([3]);\n    expect(result.dtype).toBe('float32');\n    expectArraysClose(await result.data(), [1, 4, 9]);\n  });\n\n  it('int32^int32 returns int32', async () => {\n    const a = tf.tensor1d([1, 2, 3], 'int32');\n    const exp = tf.scalar(2, 'int32');\n\n    const result = tf.pow(a, exp);\n\n    expect(result.shape).toEqual([3]);\n    expect(result.dtype).toBe('int32');\n    expectArraysEqual(await result.data(), [1, 4, 9]);\n  });\n\n  it('different-shaped tensors', async () => {\n    const a = tf.tensor2d([1, -2, -3, 0, 7, 1], [2, 3]);\n    const b = tf.scalar(2, 'int32');\n    const expected = [1, 4, 9, 0, 49, 1];\n    const result = tf.pow(a, b);\n\n    expect(result.shape).toEqual([2, 3]);\n    expectArraysClose(await result.data(), expected, 0.05);\n  });\n\n  it('propagates NaNs', async () => {\n    const a = tf.tensor2d([NaN, 3, NaN, 0], [2, 2]);\n    const b = tf.tensor2d([1, 3, 2, 3], [2, 2], 'int32');\n\n    const result = tf.pow(a, b);\n    expectArraysClose(await result.data(), [NaN, 27, NaN, 0], 0.05);\n  });\n\n  it('exponent of 0 returns 1', async () => {\n    const a = tf.tensor1d([-2, -1, 0, 1, 2]);\n    const b = tf.scalar(0);\n\n    const result = tf.pow(a, b);\n    expectArraysClose(await result.data(), [1, 1, 1, 1, 1]);\n  });\n\n  it('handles non int32 exponent param', async () => {\n    const a = tf.tensor1d([2, 4]);\n    const b = tf.tensor1d([.5, 1.2]);\n\n    const result = tf.pow(a, b);\n    const expected = [Math.pow(2, 0.5), Math.pow(4, 1.2)];\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('broadcasting same rank Tensors different shape', async () => {\n    const a = tf.tensor2d([1, 2, -3, -4], [2, 2]);\n    const b = tf.tensor2d([2, 1], [2, 1], 'int32');\n\n    const result = tf.pow(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    const expected = [1, 4, -3, -4];\n\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('broadcast 2D + 1D', async () => {\n    const a = tf.tensor2d([1, 2, -3, -4], [2, 2]);\n    const b = tf.tensor1d([1, 2], 'int32');\n\n    const result = tf.pow(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    const expected = [1, 4, -3, 16];\n\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('gradients: Scalar ^ Scalar', async () => {\n    const a = tf.scalar(5);\n    const b = tf.scalar(2, 'int32');\n    const dy = tf.scalar(3);\n\n    const grads = tf.grads((a, b) => tf.pow(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(), [2 * 5 * 3]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [3 * Math.pow(5, 2) * Math.log(5)]);\n  });\n\n  it('gradient with clones', async () => {\n    const a = tf.scalar(5);\n    const b = tf.scalar(2, 'int32');\n\n    const grads = tf.grads((a, b) => tf.pow(a.clone(), b.clone()).clone());\n    const [da, db] = grads([a, b]);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(da.dtype).toEqual('float32');\n    expectArraysClose(await da.data(), [2 * 5]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [Math.pow(5, 2) * Math.log(5)]);\n  });\n\n  it('gradients: x ^ 2 where x = 0', async () => {\n    const f = (x: tf.Scalar) => x.pow(tf.scalar(2)).asScalar();\n    const g = tf.grad(f)(tf.scalar(0));\n\n    expectArraysClose(await g.data(), [0]);\n  });\n\n  it('gradients: Scalar ^ Scalar fractional exponent', async () => {\n    const a = tf.scalar(4.0);\n    const b = tf.scalar(1.5);\n    const dy = tf.scalar(3.0);\n\n    const grads = tf.grads((a, b) => tf.pow(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(), [1.5 * Math.pow(4, 0.5) * 3]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(\n        await db.data(), [3.0 * Math.pow(4, 1.5) * Math.log(4.0)]);\n  });\n\n  it('gradients: Tensor ^ Tensor', async () => {\n    const a = tf.tensor1d([-1, .5, 2]);\n    const b = tf.tensor1d([3, 2, -1], 'int32');\n    const dy = tf.tensor1d([1, 5, 10]);\n\n    const grads = tf.grads((a, b) => tf.pow(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(\n        await da.data(),\n        [\n          3 * Math.pow(-1, 2) * 1, 2 * Math.pow(.5, 1) * 5,\n          -1 * Math.pow(2, -2) * 10\n        ],\n        1e-1);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [\n      0, 5 * Math.pow(.5, 2) * Math.log(.5), 10 * Math.pow(2, -1) * Math.log(2)\n    ]);\n  });\n\n  it('gradient wrt exponent with negative base', async () => {\n    const a = tf.tensor1d([-1, -.5, -2.7]);\n    const b = tf.tensor1d([3, 2, -1], 'int32');\n    const dy = tf.tensor1d([1, 1, 1]);\n\n    const grads = tf.grads((a, b) => tf.pow(a, b));\n    const [, db] = grads([a, b], dy);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [0, 0, 0]);\n  });\n\n  it('gradient: scalar / Tensor1D', async () => {\n    const a = tf.scalar(2);\n    const b = tf.tensor1d([3, 4, 5]);\n    const dy = tf.tensor1d([6, 7, 8]);\n\n    const grads = tf.grads((a, b) => tf.pow(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(), [\n      6 * 3 * Math.pow(2, 2) + 7 * 4 * Math.pow(2, 3) + 8 * 5 * Math.pow(2, 4)\n    ]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [\n      6 * Math.pow(2, 3) * Math.log(2), 7 * Math.pow(2, 4) * Math.log(2),\n      8 * Math.pow(2, 5) * Math.log(2)\n    ]);\n  });\n\n  it('gradient: Tensor2D / scalar', async () => {\n    const a = tf.tensor2d([[2, 3], [4, 5]], [2, 2]);\n    const b = tf.scalar(2);\n    const dy = tf.tensor2d([[6, 7], [8, 9]], [2, 2]);\n\n    const grads = tf.grads((a, b) => tf.pow(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(), [\n      6 * 2 * Math.pow(2, 1), 7 * 2 * Math.pow(3, 1), 8 * 2 * Math.pow(4, 1),\n      9 * 2 * Math.pow(5, 1)\n    ]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(\n        await db.data(),\n        [6 * Math.pow(2, 2) * Math.log(2) + 7 * Math.pow(3, 2) * Math.log(3) +\n         8 * Math.pow(4, 2) * Math.log(4) + 9 * Math.pow(5, 2) * Math.log(5)]);\n  });\n\n  it('gradient: Tensor2D / Tensor2D w/ broadcast', async () => {\n    const a = tf.tensor2d([3, 4], [2, 1]);\n    const b = tf.tensor2d([[2, 3], [.4, .5]], [2, 2]);\n    const dy = tf.tensor2d([[6, 7], [8, 9]], [2, 2]);\n\n    const grads = tf.grads((a, b) => tf.pow(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(), [\n      6 * 2 * Math.pow(3, 1) + 7 * 3 * Math.pow(3, 2),\n      8 * .4 * Math.pow(4, .4 - 1) + 9 * .5 * Math.pow(4, .5 - 1)\n    ]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [\n      6 * Math.pow(3, 2) * Math.log(3), 7 * Math.pow(3, 3) * Math.log(3),\n      8 * Math.pow(4, .4) * Math.log(4), 9 * Math.pow(4, .5) * Math.log(4)\n    ]);\n  });\n\n  it('throws when passed base as a non-tensor', () => {\n    expect(() => tf.pow({} as tf.Tensor, tf.scalar(1)))\n        .toThrowError(/Argument 'base' passed to 'pow' must be a Tensor/);\n  });\n  it('throws when passed exp as a non-tensor', () => {\n    expect(() => tf.pow(tf.scalar(1), {} as tf.Tensor))\n        .toThrowError(/Argument 'exp' passed to 'pow' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const result = tf.pow([1, 2, 3], 2);\n\n    expect(result.shape).toEqual([3]);\n    expect(result.dtype).toBe('float32');\n    expectArraysClose(await result.data(), [1, 4, 9]);\n  });\n\n  it('negative base and whole exponent not NaN', async () => {\n    const a = tf.tensor1d([-2, -3, -4], 'float32');\n    const b = tf.tensor1d([2, -3, 4], 'float32');\n\n    const expected = [Math.pow(-2, 2), Math.pow(-3, -3), Math.pow(-4, 4)];\n    const result = tf.pow(a, b);\n\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('negative base and whole exponent not NaN - vec4', async () => {\n    const a = tf.tensor1d([-2, -3, -4, -5], 'float32');\n    const b = tf.tensor1d([2, -3, 4, -5], 'float32');\n\n    const expected =\n        [Math.pow(-2, 2), Math.pow(-3, -3), Math.pow(-4, 4), Math.pow(-5, -5)];\n    const result = tf.pow(a, b);\n\n    expectArraysClose(await result.data(), expected);\n  });\n\n  it('negative base and fract exponent NaN', async () => {\n    const a = tf.tensor1d([-2, -3, -4], 'float32');\n    const b = tf.tensor1d([2.1, -3.01, 4.1], 'float32');\n\n    const expected = [NaN, NaN, NaN];\n    const result = tf.pow(a, b);\n\n    expectArraysClose(await result.data(), expected);\n  });\n});\n"]}
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