/**
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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('prelu', ALL_ENVS, () => {
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it('basic', async () => {
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const x = tf.tensor1d([0, 1, -2, -4]);
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const a = tf.tensor1d([0.15, 0.2, 0.25, 0.15]);
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const result = tf.prelu(x, a);
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expect(result.shape).toEqual(x.shape);
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expectArraysClose(await result.data(), [0, 1, -0.5, -0.6]);
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});
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it('basic TensorLike', async () => {
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const x = [0, 1, -2, -4];
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const a = [0.15, 0.2, 0.25, 0.15];
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const result = tf.prelu(x, a);
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expect(result.shape).toEqual([4]);
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expectArraysClose(await result.data(), [0, 1, -0.5, -0.6]);
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});
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it('basic TensorLike chained', async () => {
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const x = tf.tensor1d([0, 1, -2, -4]);
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const a = [0.15, 0.2, 0.25, 0.15];
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const result = x.prelu(a);
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expect(result.shape).toEqual(x.shape);
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expectArraysClose(await result.data(), [0, 1, -0.5, -0.6]);
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});
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it('basic int32', async () => {
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const x = tf.tensor1d([0, 1, -2, -4], 'int32');
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const a = [0.15, 0.2, 0.25, 0.15];
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const result = tf.prelu(x, a);
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expect(result.shape).toEqual([4]);
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expect(result.dtype).toEqual('float32');
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expectArraysClose(await result.data(), [0, 1, -0.5, -0.6]);
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});
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it('derivative', async () => {
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const x = tf.tensor1d([0.5, 3, -0.1, -4]);
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const a = tf.tensor1d([0.2, 0.4, 0.25, 0.15]);
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const dy = tf.tensor1d([1, 1, 1, 1]);
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const dx = tf.grad(x => tf.prelu(x, a))(x, dy);
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expect(dx.shape).toEqual(x.shape);
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expect(dx.dtype).toEqual('float32');
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expectArraysClose(await dx.data(), [1, 1, 0.25, 0.15]);
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});
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it('gradient with clones', async () => {
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const x = tf.tensor1d([0.5, 3, -0.1, -4]);
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const a = tf.tensor1d([0.2, 0.4, 0.25, 0.15]);
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const dx = tf.grad(x => tf.prelu(x.clone(), a).clone())(x);
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expect(dx.shape).toEqual(x.shape);
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expect(dx.dtype).toEqual('float32');
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expectArraysClose(await dx.data(), [1, 1, 0.25, 0.15]);
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});
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it('derivative where alpha got broadcasted', async () => {
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const x = tf.tensor2d([[0.5, 3, -0.1, -4]]);
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const a = tf.tensor2d([[0.2]]);
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const dy = tf.tensor2d([[1, 1, 1, 1]]);
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const da = tf.grad(a => tf.prelu(x, a))(a, dy);
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expect(da.shape).toEqual(a.shape);
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expectArraysClose(await da.data(), [-4.1]);
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});
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it('throws when passed x as a non-tensor', () => {
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expect(() => tf.prelu({}, tf.scalar(1)))
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.toThrowError(/Argument 'x' passed to 'prelu' must be a Tensor/);
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});
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it('throws when passed alpha as a non-tensor', () => {
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expect(() => tf.prelu(tf.scalar(1), {}))
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.toThrowError(/Argument 'alpha' passed to 'prelu' must be a Tensor/);
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});
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it('throws for string tensor', () => {
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expect(() => tf.prelu(['a'], 0.1))
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.toThrowError(/Argument 'x' passed to 'prelu' must be numeric tensor/);
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});
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});
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describeWithFlags('maximum', ALL_ENVS, () => {
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it('float32 and float32', async () => {
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const a = tf.tensor1d([0.5, 3, -0.1, -4]);
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const b = tf.tensor1d([0.2, 0.4, 0.25, 0.15]);
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const result = tf.maximum(a, b);
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expect(result.shape).toEqual(a.shape);
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expectArraysClose(await result.data(), [0.5, 3, 0.25, 0.15]);
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});
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it('TensorLike', async () => {
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const a = [0.5, 3, -0.1, -4];
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const b = [0.2, 0.4, 0.25, 0.15];
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const result = tf.maximum(a, b);
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expect(result.shape).toEqual([4]);
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expectArraysClose(await result.data(), [0.5, 3, 0.25, 0.15]);
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});
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it('TensorLike chained', async () => {
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const a = tf.tensor1d([0.5, 3, -0.1, -4]);
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const b = [0.2, 0.4, 0.25, 0.15];
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const result = a.maximum(b);
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expect(result.shape).toEqual([4]);
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expectArraysClose(await result.data(), [0.5, 3, 0.25, 0.15]);
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});
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it('int32 and int32', async () => {
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const a = tf.tensor1d([1, 5, 2, 3], 'int32');
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const b = tf.tensor1d([2, 3, 1, 4], 'int32');
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const result = tf.maximum(a, b);
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expect(result.shape).toEqual(a.shape);
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expect(result.dtype).toBe('int32');
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expectArraysEqual(await result.data(), [2, 5, 2, 4]);
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});
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it('bool and bool', async () => {
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const a = tf.tensor1d([true, false, false, true], 'bool');
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const b = tf.tensor1d([false, false, true, true], 'bool');
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const result = tf.maximum(a, b);
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expect(result.shape).toEqual(a.shape);
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expect(result.dtype).toBe('int32');
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expectArraysEqual(await result.data(), [1, 0, 1, 1]);
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});
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it('upcasts when dtypes dont match', async () => {
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const a = tf.tensor1d([1, 0, 0, 1], 'float32');
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const b = tf.tensor1d([0, 0, 1, 1], 'int32');
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const res = tf.maximum(a, b);
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expect(res.shape).toEqual(a.shape);
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expect(res.dtype).toBe('float32');
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expectArraysEqual(await res.data(), [1, 0, 1, 1]);
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});
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it('propagates NaN', async () => {
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const a = tf.tensor1d([0.5, -0.1, NaN]);
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const b = tf.tensor1d([0.2, 0.3, 0.25]);
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const result = tf.maximum(a, b);
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expect(result.shape).toEqual(a.shape);
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expectArraysClose(await result.data(), [0.5, 0.3, NaN]);
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});
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it('broadcasts Tensor1D and scalar', async () => {
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const a = tf.tensor1d([0.5, 3, -0.1, -4]);
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const b = tf.scalar(0.6);
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const result = tf.maximum(a, b);
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expect(result.shape).toEqual(a.shape);
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expectArraysClose(await result.data(), [0.6, 3, 0.6, 0.6]);
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});
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it('broadcasts scalar and Tensor1D', async () => {
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const a = tf.scalar(0.6);
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const b = tf.tensor1d([0.5, 3, -0.1, -4]);
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const result = tf.maximum(a, b);
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expect(result.shape).toEqual(b.shape);
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expectArraysClose(await result.data(), [0.6, 3, 0.6, 0.6]);
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});
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it('broadcasts Tensor1D and Tensor2D', async () => {
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const a = tf.tensor1d([0.5, 0.3]);
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const b = tf.tensor2d([0.2, 0.4, 0.6, 0.15], [2, 2]);
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const result = tf.maximum(a, b);
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expect(result.shape).toEqual(b.shape);
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expectArraysClose(await result.data(), [0.5, 0.4, 0.6, 0.3]);
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});
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it('broadcasts 2x1 Tensor2D and 2x2 Tensor2D', async () => {
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const a = tf.tensor2d([0.5, 0.3], [2, 1]);
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const b = tf.tensor2d([0.2, 0.4, 0.6, 0.15], [2, 2]);
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const result = tf.maximum(a, b);
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expect(result.shape).toEqual(b.shape);
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expectArraysClose(await result.data(), [0.5, 0.5, 0.6, 0.3]);
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});
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it('gradients: Scalar', async () => {
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const a = tf.scalar(5.2);
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const b = tf.scalar(0.6);
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const dy = tf.scalar(3);
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const grads = tf.grads((a, b) => tf.maximum(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.shape).toEqual(b.shape);
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expect(da.dtype).toEqual('float32');
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expect(db.dtype).toEqual('float32');
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expectArraysClose(await da.data(), [3 * 1]);
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expectArraysClose(await db.data(), [3 * 0]);
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});
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it('gradient with clones', async () => {
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const a = tf.scalar(5.2);
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const b = tf.scalar(0.6);
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const dy = tf.scalar(3);
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const grads = tf.grads((a, b) => tf.maximum(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(db.shape).toEqual(b.shape);
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expect(da.dtype).toEqual('float32');
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expect(db.dtype).toEqual('float32');
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expectArraysClose(await da.data(), [3 * 1]);
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expectArraysClose(await db.data(), [3 * 0]);
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});
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it('gradients: Tensor1D', async () => {
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const a = tf.tensor1d([1.1, 2.6, 3, 5.9]);
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const b = tf.tensor1d([1.0, 2.7, 3, 5.8]);
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const dy = tf.tensor1d([1, 2, 3, 4]);
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const grads = tf.grads((a, b) => tf.maximum(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.shape).toEqual(b.shape);
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expect(da.dtype).toEqual('float32');
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expect(db.dtype).toEqual('float32');
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expectArraysClose(await da.data(), [1 * 1, 2 * 0, 3 * 1, 4 * 1]);
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expectArraysClose(await db.data(), [1 * 0, 2 * 1, 3 * 0, 4 * 0]);
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});
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it('gradients: Tensor2D', async () => {
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const a = tf.tensor2d([0.5, 0.3, 0.7, 0.9], [2, 2]);
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const b = tf.tensor2d([0.2, 0.4, 0.7, 0.15], [2, 2]);
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const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);
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const grads = tf.grads((a, b) => tf.maximum(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.shape).toEqual(b.shape);
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expect(da.dtype).toEqual('float32');
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expect(db.dtype).toEqual('float32');
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expectArraysClose(await da.data(), [1 * 1, 2 * 0, 3 * 1, 4 * 1]);
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expectArraysClose(await db.data(), [1 * 0, 2 * 1, 3 * 0, 4 * 0]);
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});
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it('throws when passed a as a non-tensor', () => {
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expect(() => tf.maximum({}, tf.scalar(1)))
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.toThrowError(/Argument 'a' passed to 'maximum' 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.maximum(tf.scalar(1), {}))
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.toThrowError(/Argument 'b' passed to 'maximum' must be a Tensor/);
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});
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it('accepts a tensor-like object', async () => {
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const a = [[0.5, 3], [-0.1, -4]];
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const b = [[0.2, 0.4], [0.25, 0.15]];
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const result = tf.maximum(a, b);
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expect(result.shape).toEqual([2, 2]);
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expectArraysClose(await result.data(), [0.5, 3, 0.25, 0.15]);
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});
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it('throws for string tensor', () => {
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expect(() => tf.maximum('q', 3))
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.toThrowError(/Argument 'a' passed to 'maximum' must be numeric tensor/);
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expect(() => tf.maximum(3, 'q'))
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.toThrowError(/Argument 'b' passed to 'maximum' must be numeric tensor/);
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});
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});
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describeWithFlags('squaredDifference', ALL_ENVS, () => {
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it('float32 and float32', async () => {
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const a = tf.tensor1d([0.5, 3, -0.1, -4]);
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const b = tf.tensor1d([0.2, 0.4, 0.25, 0.15]);
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const result = tf.squaredDifference(a, b);
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expect(result.shape).toEqual(a.shape);
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expectArraysClose(await result.data(), [
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Math.pow(0.5 - 0.2, 2), Math.pow(3 - 0.4, 2), Math.pow(-0.1 - 0.25, 2),
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Math.pow(-4 - 0.15, 2)
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]);
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});
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it('TensorLike', async () => {
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const a = [0.5, 3, -0.1, -4];
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const b = [0.2, 0.4, 0.25, 0.15];
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const result = tf.squaredDifference(a, b);
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expect(result.shape).toEqual([4]);
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expectArraysClose(await result.data(), [
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Math.pow(0.5 - 0.2, 2), Math.pow(3 - 0.4, 2), Math.pow(-0.1 - 0.25, 2),
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Math.pow(-4 - 0.15, 2)
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]);
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});
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it('TensorLike chained', async () => {
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const a = tf.tensor1d([0.5, 3, -0.1, -4]);
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const b = [0.2, 0.4, 0.25, 0.15];
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const result = a.squaredDifference(b);
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expect(result.shape).toEqual(a.shape);
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expectArraysClose(await result.data(), [
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Math.pow(0.5 - 0.2, 2), Math.pow(3 - 0.4, 2), Math.pow(-0.1 - 0.25, 2),
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Math.pow(-4 - 0.15, 2)
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]);
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});
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it('int32 and int32', async () => {
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const a = tf.tensor1d([1, 5, 2, 3], 'int32');
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const b = tf.tensor1d([2, 3, 1, 4], 'int32');
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const result = tf.squaredDifference(a, b);
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expect(result.shape).toEqual(a.shape);
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expect(result.dtype).toBe('int32');
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expectArraysEqual(await result.data(), [
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Math.pow(1 - 2, 2), Math.pow(5 - 3, 2), Math.pow(2 - 1, 2),
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Math.pow(3 - 4, 2)
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]);
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});
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it('upcasts when dtypes dont match', async () => {
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let res = tf.squaredDifference(tf.scalar(5, 'int32'), tf.scalar(2, 'float32'));
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expect(res.dtype).toBe('float32');
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expectArraysClose(await res.data(), [9]);
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res = tf.squaredDifference(tf.scalar(5, 'int32'), tf.scalar(true, 'bool'));
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expect(res.dtype).toBe('int32');
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expectArraysClose(await res.data(), [16]);
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res = tf.squaredDifference(tf.scalar(5, 'int32'), tf.scalar(false, 'bool'));
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expect(res.dtype).toBe('int32');
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expectArraysClose(await res.data(), [25]);
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});
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it('propagates NaN', async () => {
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const a = tf.tensor1d([0.5, -0.1, NaN]);
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const b = tf.tensor1d([0.2, 0.3, 0.25]);
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const result = tf.squaredDifference(a, b);
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expect(result.shape).toEqual(a.shape);
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expectArraysClose(await result.data(), [Math.pow(0.5 - 0.2, 2), Math.pow(-0.1 - 0.3, 2), NaN]);
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});
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it('broadcasts Tensor1D and scalar', async () => {
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const a = tf.tensor1d([0.5, 3, -0.1, -4]);
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const b = tf.scalar(0.6);
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const result = tf.squaredDifference(a, b);
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expect(result.shape).toEqual(a.shape);
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expectArraysClose(await result.data(), [
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Math.pow(0.5 - 0.6, 2), Math.pow(3 - 0.6, 2), Math.pow(-0.1 - 0.6, 2),
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Math.pow(-4 - 0.6, 2)
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]);
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});
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it('broadcasts scalar and Tensor1D', async () => {
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const a = tf.scalar(0.6);
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const b = tf.tensor1d([0.5, 3, -0.1, -4]);
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const result = tf.squaredDifference(a, b);
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expect(result.shape).toEqual(b.shape);
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expectArraysClose(await result.data(), [
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Math.pow(0.6 - 0.5, 2), Math.pow(0.6 - 3, 2), Math.pow(0.6 - (-0.1), 2),
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Math.pow(0.6 - (-4), 2)
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]);
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});
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it('broadcasts Tensor1D and Tensor2D', async () => {
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const a = tf.tensor1d([0.5, 0.3]);
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const b = tf.tensor2d([0.2, 0.4, 0.6, 0.15], [2, 2]);
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const result = tf.squaredDifference(a, b);
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expect(result.shape).toEqual(b.shape);
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expectArraysClose(await result.data(), [
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Math.pow(0.5 - 0.2, 2), Math.pow(0.3 - 0.4, 2), Math.pow(0.5 - 0.6, 2),
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Math.pow(0.3 - 0.15, 2)
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]);
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});
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it('broadcasts 2x1 Tensor2D and 2x2 Tensor2D', async () => {
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const a = tf.tensor2d([0.5, 0.3], [2, 1]);
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const b = tf.tensor2d([0.2, 0.4, 0.6, 0.15], [2, 2]);
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const result = tf.squaredDifference(a, b);
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expect(result.shape).toEqual(b.shape);
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expectArraysClose(await result.data(), [
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Math.pow(0.5 - 0.2, 2), Math.pow(0.5 - 0.4, 2), Math.pow(0.3 - 0.6, 2),
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Math.pow(0.3 - 0.15, 2)
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]);
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});
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it('gradients: Scalar', async () => {
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const a = tf.scalar(5.2);
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const b = tf.scalar(0.6);
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const dy = tf.scalar(3);
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const grads = tf.grads((a, b) => tf.squaredDifference(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.shape).toEqual(b.shape);
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expect(da.dtype).toEqual('float32');
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expect(db.dtype).toEqual('float32');
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expectArraysClose(await da.data(), [3 * 2 * (5.2 - 0.6)]);
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expectArraysClose(await db.data(), [3 * 2 * (0.6 - 5.2)]);
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});
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it('gradient with clones', async () => {
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const a = tf.scalar(5.2);
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const b = tf.scalar(0.6);
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const dy = tf.scalar(3);
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const grads = tf.grads((a, b) => tf.squaredDifference(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(db.shape).toEqual(b.shape);
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expect(da.dtype).toEqual('float32');
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expect(db.dtype).toEqual('float32');
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expectArraysClose(await da.data(), [3 * 2 * (5.2 - 0.6)]);
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expectArraysClose(await db.data(), [3 * 2 * (0.6 - 5.2)]);
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});
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it('gradients: Tensor1D', async () => {
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const a = tf.tensor1d([1.1, 2.6, 3, 5.9]);
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const b = tf.tensor1d([1.0, 2.7, 3, 5.8]);
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const dy = tf.tensor1d([1, 2, 3, 1]);
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const grads = tf.grads((a, b) => tf.squaredDifference(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.shape).toEqual(b.shape);
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expect(da.dtype).toEqual('float32');
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expect(db.dtype).toEqual('float32');
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expectArraysClose(await da.data(), [
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1 * 2 * (1.1 - 1.0), 2 * 2 * (2.6 - 2.7), 3 * 2 * (3 - 3),
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1 * 2 * (5.9 - 5.8)
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]);
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expectArraysClose(await db.data(), [
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1 * 2 * (1.0 - 1.1), 2 * 2 * (2.7 - 2.6), 3 * 2 * (3 - 3),
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1 * 2 * (5.8 - 5.9)
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]);
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});
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it('gradients: Tensor2D', async () => {
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const a = tf.tensor2d([0.5, 0.3, 0.7, 0.9], [2, 2]);
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const b = tf.tensor2d([0.2, 0.4, 0.7, 0.15], [2, 2]);
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const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);
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const grads = tf.grads((a, b) => tf.squaredDifference(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.shape).toEqual(b.shape);
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expect(da.dtype).toEqual('float32');
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expect(db.dtype).toEqual('float32');
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expectArraysClose(await da.data(), [
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1 * 2 * (0.5 - 0.2), 2 * 2 * (0.3 - 0.4), 3 * 2 * (0.7 - 0.7),
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4 * 2 * (0.9 - 0.15)
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]);
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expectArraysClose(await db.data(), [
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1 * 2 * (0.2 - 0.5), 2 * 2 * (0.4 - 0.3), 3 * 2 * (0.7 - 0.7),
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4 * 2 * (0.15 - 0.9)
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]);
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});
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it('throws when passed a as a non-tensor', () => {
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expect(() => tf.squaredDifference({}, tf.scalar(1)))
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.toThrowError(/Argument 'a' passed to 'squaredDifference' 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.squaredDifference(tf.scalar(1), {}))
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.toThrowError(/Argument 'b' passed to 'squaredDifference' must be a Tensor/);
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});
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it('accepts a tensor-like object', async () => {
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const a = [[0.5, 3], [-0.1, -4]];
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const b = 0.6;
|
const result = tf.squaredDifference(a, b);
|
expect(result.shape).toEqual([2, 2]);
|
expectArraysClose(await result.data(), [
|
Math.pow(0.5 - 0.6, 2), Math.pow(3 - 0.6, 2), Math.pow(-0.1 - 0.6, 2),
|
Math.pow(-4 - 0.6, 2)
|
]);
|
});
|
it('throws for string tensor', () => {
|
expect(() => tf.squaredDifference('q', 3))
|
.toThrowError(/Argument 'a' passed to 'squaredDifference' must be numeric/);
|
expect(() => tf.squaredDifference(3, 'q'))
|
.toThrowError(/Argument 'b' passed to 'squaredDifference' must be numeric/);
|
});
|
});
|
describeWithFlags('minimum', ALL_ENVS, () => {
|
it('float32 and float32', async () => {
|
const a = tf.tensor1d([0.5, 3, -0.1, -4]);
|
const b = tf.tensor1d([0.2, 0.4, 0.25, 0.15]);
|
const result = tf.minimum(a, b);
|
expect(result.shape).toEqual(a.shape);
|
expectArraysClose(await result.data(), [0.2, 0.4, -0.1, -4]);
|
});
|
it('TensorLike', async () => {
|
const a = [0.5, 3, -0.1, -4];
|
const b = [0.2, 0.4, 0.25, 0.15];
|
const result = tf.minimum(a, b);
|
expect(result.shape).toEqual([4]);
|
expectArraysClose(await result.data(), [0.2, 0.4, -0.1, -4]);
|
});
|
it('TensorLike chained', async () => {
|
const a = tf.tensor1d([0.5, 3, -0.1, -4]);
|
const b = [0.2, 0.4, 0.25, 0.15];
|
const result = a.minimum(b);
|
expect(result.shape).toEqual(a.shape);
|
expectArraysClose(await result.data(), [0.2, 0.4, -0.1, -4]);
|
});
|
it('int32 and int32', async () => {
|
const a = tf.tensor1d([1, 5, 2, 3], 'int32');
|
const b = tf.tensor1d([2, 3, 1, 4], 'int32');
|
const result = tf.minimum(a, b);
|
expect(result.shape).toEqual(a.shape);
|
expect(result.dtype).toBe('int32');
|
expectArraysEqual(await result.data(), [1, 3, 1, 3]);
|
});
|
it('bool and bool', async () => {
|
const a = tf.tensor1d([true, false, false, true], 'bool');
|
const b = tf.tensor1d([false, false, true, true], 'bool');
|
const result = tf.minimum(a, b);
|
expect(result.shape).toEqual(a.shape);
|
expect(result.dtype).toBe('int32');
|
expectArraysEqual(await result.data(), [0, 0, 0, 1]);
|
});
|
it('upcasts when dtypes dont match', async () => {
|
const a = tf.tensor1d([1, 0, 0, 1], 'float32');
|
const b = tf.tensor1d([0, 0, 1, 1], 'int32');
|
const res = tf.minimum(a, b);
|
expect(res.shape).toEqual(a.shape);
|
expect(res.dtype).toBe('float32');
|
expectArraysEqual(await res.data(), [0, 0, 0, 1]);
|
});
|
it('propagates NaN', async () => {
|
const a = tf.tensor1d([0.5, -0.1, NaN]);
|
const b = tf.tensor1d([0.2, 0.3, 0.25]);
|
const result = tf.minimum(a, b);
|
expect(result.shape).toEqual(a.shape);
|
expectArraysClose(await result.data(), [0.2, -0.1, NaN]);
|
});
|
it('broadcasts Tensor1D and scalar', async () => {
|
const a = tf.tensor1d([0.5, 3, -0.1, -4]);
|
const b = tf.scalar(0.6);
|
const result = tf.minimum(a, b);
|
expect(result.shape).toEqual(a.shape);
|
expectArraysClose(await result.data(), [0.5, 0.6, -0.1, -4]);
|
});
|
it('broadcasts scalar and Tensor1D', async () => {
|
const a = tf.scalar(0.6);
|
const b = tf.tensor1d([0.5, 3, -0.1, -4]);
|
const result = tf.minimum(a, b);
|
expect(result.shape).toEqual(b.shape);
|
expectArraysClose(await result.data(), [0.5, 0.6, -0.1, -4]);
|
});
|
it('broadcasts Tensor1D and Tensor2D', async () => {
|
const a = tf.tensor1d([0.5, 0.3]);
|
const b = tf.tensor2d([0.2, 0.4, 0.6, 0.15], [2, 2]);
|
const result = tf.minimum(a, b);
|
expect(result.shape).toEqual(b.shape);
|
expectArraysClose(await result.data(), [0.2, 0.3, 0.5, 0.15]);
|
});
|
it('broadcasts 2x1 Tensor2D and 2x2 Tensor2D', async () => {
|
const a = tf.tensor2d([0.5, 0.3], [2, 1]);
|
const b = tf.tensor2d([0.2, 0.4, 0.6, 0.15], [2, 2]);
|
const result = tf.minimum(a, b);
|
expect(result.shape).toEqual(b.shape);
|
expectArraysClose(await result.data(), [0.2, 0.4, 0.3, 0.15]);
|
});
|
it('gradients: Scalar', async () => {
|
const a = tf.scalar(5.2);
|
const b = tf.scalar(0.6);
|
const dy = tf.scalar(3);
|
const grads = tf.grads((a, b) => tf.minimum(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(db.shape).toEqual(b.shape);
|
expect(da.dtype).toEqual('float32');
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [3 * 0]);
|
expectArraysClose(await db.data(), [3 * 1]);
|
});
|
it('gradient with clones', async () => {
|
const a = tf.scalar(5.2);
|
const b = tf.scalar(0.6);
|
const dy = tf.scalar(3);
|
const grads = tf.grads((a, b) => tf.minimum(a.clone(), b.clone()).clone());
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(db.shape).toEqual(b.shape);
|
expect(da.dtype).toEqual('float32');
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [3 * 0]);
|
expectArraysClose(await db.data(), [3 * 1]);
|
});
|
it('gradients: Tensor1D', async () => {
|
const a = tf.tensor1d([1.1, 2.6, 3, 5.9]);
|
const b = tf.tensor1d([1.0, 2.7, 3, 5.8]);
|
const dy = tf.tensor1d([1, 2, 3, 4]);
|
const grads = tf.grads((a, b) => tf.minimum(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(db.shape).toEqual(b.shape);
|
expect(da.dtype).toEqual('float32');
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [1 * 0, 2 * 1, 3 * 1, 4 * 0]);
|
expectArraysClose(await db.data(), [1 * 1, 2 * 0, 3 * 0, 4 * 1]);
|
});
|
it('gradients: Tensor2D', async () => {
|
const a = tf.tensor2d([0.5, 0.3, 0.7, 0.9], [2, 2]);
|
const b = tf.tensor2d([0.2, 0.4, 0.7, 0.15], [2, 2]);
|
const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);
|
const grads = tf.grads((a, b) => tf.minimum(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(db.shape).toEqual(b.shape);
|
expect(da.dtype).toEqual('float32');
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [1 * 0, 2 * 1, 3 * 1, 4 * 0]);
|
expectArraysClose(await db.data(), [1 * 1, 2 * 0, 3 * 0, 4 * 1]);
|
});
|
it('throws when passed a as a non-tensor', () => {
|
expect(() => tf.minimum({}, tf.scalar(1)))
|
.toThrowError(/Argument 'a' passed to 'minimum' must be a Tensor/);
|
});
|
it('throws when passed b as a non-tensor', () => {
|
expect(() => tf.minimum(tf.scalar(1), {}))
|
.toThrowError(/Argument 'b' passed to 'minimum' must be a Tensor/);
|
});
|
it('accepts a tensor-like object', async () => {
|
const a = [[0.5, 3], [-0.1, -4]];
|
const b = [[0.2, 0.4], [0.25, 0.15]];
|
const result = tf.minimum(a, b);
|
expect(result.shape).toEqual([2, 2]);
|
expectArraysClose(await result.data(), [0.2, 0.4, -0.1, -4]);
|
});
|
it('throws for string tensor', () => {
|
expect(() => tf.minimum('q', 3))
|
.toThrowError(/Argument 'a' passed to 'minimum' must be numeric/);
|
expect(() => tf.minimum(3, 'q'))
|
.toThrowError(/Argument 'b' passed to 'minimum' must be numeric/);
|
});
|
});
|
describeWithFlags('mod', ALL_ENVS, () => {
|
it('float32 and float32', async () => {
|
const a = tf.tensor1d([0.5, 3, -0.1, -4]);
|
const b = tf.tensor1d([0.2, 0.4, 0.25, 0.15]);
|
const result = tf.mod(a, b);
|
expect(result.shape).toEqual(a.shape);
|
expectArraysClose(await result.data(), [0.1, 0.2, 0.15, 0.05]);
|
});
|
it('TensorLike', async () => {
|
const a = [0.5, 3, -0.1, -4];
|
const b = [0.2, 0.4, 0.25, 0.15];
|
const result = tf.mod(a, b);
|
expect(result.shape).toEqual([4]);
|
expectArraysClose(await result.data(), [0.1, 0.2, 0.15, 0.05]);
|
});
|
it('TensorLike chained', async () => {
|
const a = tf.tensor1d([0.5, 3, -0.1, -4]);
|
const b = [0.2, 0.4, 0.25, 0.15];
|
const result = a.mod(b);
|
expect(result.shape).toEqual(a.shape);
|
expectArraysClose(await result.data(), [0.1, 0.2, 0.15, 0.05]);
|
});
|
it('int32 and int32', async () => {
|
const a = tf.tensor1d([1, 5, 2, 3], 'int32');
|
const b = tf.tensor1d([2, 3, 1, 4], 'int32');
|
const result = tf.mod(a, b);
|
expect(result.shape).toEqual(a.shape);
|
expect(result.dtype).toBe('int32');
|
expectArraysEqual(await result.data(), [1, 2, 0, 3]);
|
});
|
it('upcasts when dtypes dont match', async () => {
|
let res = tf.mod(tf.scalar(5, 'int32'), tf.scalar(2, 'float32'));
|
expect(res.dtype).toBe('float32');
|
expectArraysClose(await res.data(), [1]);
|
res = tf.mod(tf.scalar(5, 'int32'), tf.scalar(true, 'bool'));
|
expect(res.dtype).toBe('int32');
|
expectArraysClose(await res.data(), [0]);
|
});
|
it('propagates NaN', async () => {
|
const a = tf.tensor1d([5, -1, NaN]);
|
const b = tf.tensor1d([2, 3, 0.25]);
|
const result = tf.mod(a, b);
|
expect(result.shape).toEqual(a.shape);
|
expectArraysClose(await result.data(), [1, 2, NaN]);
|
});
|
it('broadcasts Tensor1D and scalar', async () => {
|
const a = tf.tensor1d([0.5, 2.5, -0.1, -4], 'float32');
|
const b = tf.scalar(0.6);
|
const result = tf.mod(a, b);
|
expect(result.shape).toEqual(a.shape);
|
expectArraysClose(await result.data(), [0.5, 0.1, 0.5, 0.2]);
|
});
|
it('broadcasts scalar and Tensor1D', async () => {
|
// TODO(manraj): Fix for case fmod(0.6, -0.1)
|
const a = tf.scalar(2);
|
const b = tf.tensor1d([3, 3, -1, -4]);
|
const result = tf.mod(a, b);
|
expect(result.shape).toEqual(b.shape);
|
expectArraysClose(await result.data(), [2, 2, 0, -2]);
|
});
|
it('broadcasts Tensor1D and Tensor2D', async () => {
|
const a = tf.tensor1d([0.5, 0.3]);
|
const b = tf.tensor2d([0.2, 0.4, 0.6, 0.15], [2, 2]);
|
const result = tf.mod(a, b);
|
expect(result.shape).toEqual(b.shape);
|
expectArraysClose(await result.data(), [0.1, 0.3, 0.5, 0.0]);
|
});
|
it('broadcasts 2x1 Tensor2D and 2x2 Tensor2D', async () => {
|
const a = tf.tensor2d([0.5, 0.3], [2, 1]);
|
const b = tf.tensor2d([0.2, 0.4, 0.6, 0.15], [2, 2]);
|
const result = tf.mod(a, b);
|
expect(result.shape).toEqual(b.shape);
|
expectArraysClose(await result.data(), [0.1, 0.1, 0.3, 0.0]);
|
});
|
it('gradients: Scalar', async () => {
|
const a = tf.scalar(5.2);
|
const b = tf.scalar(0.6);
|
const dy = tf.scalar(3);
|
const grads = tf.grads((a, b) => tf.mod(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(db.shape).toEqual(b.shape);
|
expect(da.dtype).toEqual('float32');
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [3]);
|
expectArraysClose(await db.data(), [3 * -1 * Math.floor(5.2 / 0.6)]);
|
});
|
it('gradient with clones', async () => {
|
const a = tf.scalar(5.2);
|
const b = tf.scalar(0.6);
|
const dy = tf.scalar(3);
|
const grads = tf.grads((a, b) => tf.mod(a.clone(), b.clone()).clone());
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(db.shape).toEqual(b.shape);
|
expect(da.dtype).toEqual('float32');
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [3]);
|
expectArraysClose(await db.data(), [3 * -1 * Math.floor(5.2 / 0.6)]);
|
});
|
it('gradients: Tensor1D', async () => {
|
const a = tf.tensor1d([1.1, 2.6, 3, 5.9]);
|
const b = tf.tensor1d([1.0, 2.7, 3, 5.8]);
|
const dy = tf.tensor1d([1, 2, 3, 4]);
|
const grads = tf.grads((a, b) => tf.mod(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(db.shape).toEqual(b.shape);
|
expect(da.dtype).toEqual('float32');
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [1 * 1, 2 * 1, 3 * 1, 4 * 1]);
|
expectArraysClose(await db.data(), [
|
1 * -1 * Math.floor(1.1 / 1.0), 2 * -1 * Math.floor(2.6 / 2.7),
|
3 * -1 * Math.floor(3 / 3), 4 * -1 * Math.floor(5.9 / 5.8)
|
]);
|
});
|
it('gradients: Tensor2D', async () => {
|
const a = tf.tensor2d([0.5, 0.3, 0.7, 0.91], [2, 2]);
|
const b = tf.tensor2d([0.2, 0.4, 0.7, 0.15], [2, 2]);
|
const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);
|
const grads = tf.grads((a, b) => tf.mod(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(db.shape).toEqual(b.shape);
|
expect(da.dtype).toEqual('float32');
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [1 * 1, 2 * 1, 3 * 1, 4 * 1]);
|
expectArraysClose(await db.data(), [
|
1 * -1 * Math.floor(0.5 / 0.2), 2 * -1 * Math.floor(0.3 / 0.4),
|
3 * -1 * Math.floor(0.7 / 0.7), 4 * -1 * Math.floor(0.91 / 0.15)
|
]);
|
});
|
it('gradients: broadcasts scalar and Tensor1D', async () => {
|
const a = tf.scalar(0.7);
|
const b = tf.tensor1d([0.2, 0.3, 0.4, 0.5]);
|
const dy = tf.tensor1d([1, 2, 3, 4]);
|
const grads = tf.grads((a, b) => tf.mod(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(db.shape).toEqual(b.shape);
|
expect(da.dtype).toEqual('float32');
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [1 + 2 + 3 + 4]);
|
expectArraysClose(await db.data(), [
|
1 * -1 * Math.floor(0.7 / 0.2), 2 * -1 * Math.floor(0.7 / 0.3),
|
3 * -1 * Math.floor(0.7 / 0.4), 4 * -1 * Math.floor(0.7 / 0.5)
|
]);
|
});
|
it('broadcasts Tensor1D and Tensor2D', async () => {
|
const a = tf.tensor1d([0.5, 0.3]);
|
const b = tf.tensor2d([0.2, 0.4, 0.7, 0.15], [2, 2]);
|
const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);
|
const grads = tf.grads((a, b) => tf.mod(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(db.shape).toEqual(b.shape);
|
expect(da.dtype).toEqual('float32');
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [1 * 1 + 3 * 1, 2 * 1 + 4 * 1]);
|
expectArraysClose(await db.data(), [
|
1 * -1 * Math.floor(0.5 / 0.2), 2 * -1 * Math.floor(0.3 / 0.4),
|
3 * -1 * Math.floor(0.5 / 0.7), 4 * -1 * Math.floor(0.3 / 0.15)
|
]);
|
});
|
it('throws when passed a as a non-tensor', () => {
|
expect(() => tf.mod({}, tf.scalar(1)))
|
.toThrowError(/Argument 'a' passed to 'mod' must be a Tensor/);
|
});
|
it('throws when passed b as a non-tensor', () => {
|
expect(() => tf.mod(tf.scalar(1), {}))
|
.toThrowError(/Argument 'b' passed to 'mod' must be a Tensor/);
|
});
|
it('accepts a tensor-like object', async () => {
|
const a = [[0.5, 3], [-0.1, -4]];
|
const b = [[0.2, 0.4], [0.25, 0.15]];
|
const result = tf.mod(a, b);
|
expect(result.shape).toEqual([2, 2]);
|
expectArraysClose(await result.data(), [0.1, 0.2, 0.15, 0.05]);
|
});
|
it('throws for string tensor', () => {
|
expect(() => tf.mod('q', 3))
|
.toThrowError(/Argument 'a' passed to 'mod' must be numeric/);
|
expect(() => tf.mod(3, 'q'))
|
.toThrowError(/Argument 'b' passed to 'mod' must be numeric/);
|
});
|
});
|
describeWithFlags('atan2', ALL_ENVS, () => {
|
it('same shape', async () => {
|
const aValues = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0];
|
const bValues = [1.0, 2.5, 3.5, 4.5, 2.0, 5.0];
|
const a = tf.tensor2d(aValues, [2, 3]);
|
const c = tf.tensor2d(bValues, [2, 3]);
|
const r = tf.atan2(a, c);
|
const expected = [];
|
for (let i = 0; i < a.size; i++) {
|
expected[i] = Math.atan2(aValues[i], bValues[i]);
|
}
|
expectArraysClose(await r.data(), expected);
|
});
|
it('uses chaining', async () => {
|
const aValues = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0];
|
const bValues = [1.0, 2.5, 3.5, 4.5, 2.0, 5.0];
|
const a = tf.tensor2d(aValues, [2, 3]);
|
const b = tf.tensor2d(bValues, [2, 3]);
|
const r = a.atan2(b);
|
const expected = [];
|
for (let i = 0; i < a.size; i++) {
|
expected[i] = Math.atan2(aValues[i], bValues[i]);
|
}
|
expectArraysClose(await r.data(), expected);
|
});
|
it('propagates NaNs', async () => {
|
const a = tf.tensor2d([1.0, 2.0], [2, 1]);
|
const c = tf.tensor2d([3.0, NaN], [2, 1]);
|
const r = tf.atan2(a, c);
|
expectArraysClose(await r.data(), [Math.atan2(1.0, 3.0), NaN]);
|
});
|
it('broadcasting same rank Tensors different shape', async () => {
|
const aValues = [1.0, 2.0, -3.0, -4.0];
|
const bValues = [2.0, 3.0];
|
const a = tf.tensor2d(aValues, [2, 2]);
|
const b = tf.tensor2d(bValues, [2, 1]);
|
const result = tf.atan2(a, b);
|
expect(result.shape).toEqual([2, 2]);
|
const expected = [
|
Math.atan2(1.0, 2.0), Math.atan2(2.0, 2.0), Math.atan2(-3.0, 3.0),
|
Math.atan2(-4.0, 3.0)
|
];
|
expectArraysClose(await result.data(), expected);
|
});
|
it('throws when passed tensors of different shapes', () => {
|
const a = tf.tensor2d([1, 2, -3, -4, 5, 6], [2, 3]);
|
const b = tf.tensor2d([5, 3, 4, -7], [2, 2]);
|
expect(() => tf.atan2(a, b)).toThrowError();
|
expect(() => tf.atan2(b, a)).toThrowError();
|
});
|
it('upcasts when dtypes dont match', async () => {
|
const aValues = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0];
|
const bValues = [1, 2, 3, 4, 2, 5];
|
const a = tf.tensor2d(aValues, [2, 3], 'float32');
|
const c = tf.tensor2d(bValues, [2, 3], 'int32');
|
const r = tf.atan2(a, c);
|
const expected = [];
|
for (let i = 0; i < a.size; i++) {
|
expected[i] = Math.atan2(aValues[i], bValues[i]);
|
}
|
expect(r.shape).toEqual([2, 3]);
|
expect(r.dtype).toBe('float32');
|
expectArraysClose(await r.data(), expected);
|
});
|
it('atan2 of scalar and array propagates NaNs', async () => {
|
const c = tf.scalar(NaN);
|
const a = tf.tensor2d([1, 2, 3], [1, 3]);
|
const r = tf.atan2(c, a);
|
expectArraysEqual(await r.data(), [NaN, NaN, NaN]);
|
});
|
it('atan2 of scalar and array', async () => {
|
const aValues = [1, 2, 3, 4, 5, 6];
|
const a = tf.tensor2d(aValues, [2, 3]);
|
const c = tf.scalar(2);
|
const r = tf.atan2(a, c);
|
const expected = [];
|
for (let i = 0; i < a.size; i++) {
|
expected[i] = Math.atan2(aValues[i], 2);
|
}
|
expectArraysClose(await r.data(), expected);
|
});
|
it('atan2 vec4 NaNs', async () => {
|
const aValues = [1.0, 2.0, 3.0, 4.0];
|
const cValues = [3.0, NaN, 3.0, 4.0];
|
const a = tf.tensor2d(aValues, [4, 1]);
|
const c = tf.tensor2d(cValues, [4, 1]);
|
const r = tf.atan2(a, c);
|
const expected = [];
|
for (let i = 0; i < a.size; i++) {
|
expected[i] = Math.atan2(aValues[i], cValues[i]);
|
}
|
expectArraysClose(await r.data(), expected);
|
});
|
it('atan2 vec4 all NaNs', async () => {
|
const aValues = [NaN, 2.0, NaN, NaN];
|
const cValues = [3.0, NaN, 3.0, 4.0];
|
const a = tf.tensor2d(aValues, [4, 1]);
|
const c = tf.tensor2d(cValues, [4, 1]);
|
const r = tf.atan2(a, c);
|
const expected = [];
|
for (let i = 0; i < a.size; i++) {
|
expected[i] = Math.atan2(aValues[i], cValues[i]);
|
}
|
expectArraysClose(await r.data(), expected);
|
});
|
it('gradient: Scalar', async () => {
|
const a = tf.scalar(5);
|
const b = tf.scalar(2);
|
const dy = tf.scalar(4);
|
const grads = tf.grads((a, b) => tf.atan2(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(da.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [4 * 2 / 29]);
|
expect(db.shape).toEqual(b.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await db.data(), [4 * -5 / 29]);
|
});
|
it('gradient with clones', async () => {
|
const a = tf.scalar(5);
|
const b = tf.scalar(2);
|
const dy = tf.scalar(4);
|
const grads = tf.grads((a, b) => tf.atan2(a.clone(), b.clone()).clone());
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(da.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [4 * 2 / 29]);
|
expect(db.shape).toEqual(b.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await db.data(), [4 * -5 / 29]);
|
});
|
it('gradient: Tensor1D', async () => {
|
const a = tf.tensor1d([1, 2, 3]);
|
const b = tf.tensor1d([3, 4, 5]);
|
const dy = tf.tensor1d([1, 10, 20]);
|
const grads = tf.grads((a, b) => tf.atan2(a, b));
|
const [da, db] = grads([a, b], dy);
|
expect(da.shape).toEqual(a.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await da.data(), [1 * 3 / 10, 10 * 4 / 20, 20 * 5 / 34]);
|
expect(db.shape).toEqual(b.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await db.data(), [-1 * 1 / 10, -10 * 2 / 20, -20 * 3 / 34]);
|
});
|
it('gradient: Tensor2D', async () => {
|
const a = tf.tensor2d([3, 1, 2, 3], [2, 2]);
|
const b = tf.tensor2d([1, 3, 4, 5], [2, 2]);
|
const dy = tf.tensor2d([1, 10, 15, 20], [2, 2]);
|
const grads = tf.grads((a, b) => tf.atan2(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 * 1 / 10, 10 * 3 / 10, 15 * 4 / 20, 20 * 5 / 34]);
|
expect(db.shape).toEqual(b.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await db.data(), [-1 * 3 / 10, -10 * 1 / 10, -15 * 2 / 20, -20 * 3 / 34]);
|
});
|
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.atan2(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 / 13 + 7 * 4 / 20 + 8 * 5 / 29]);
|
expect(db.shape).toEqual(b.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await db.data(), [-6 * 2 / 13, -7 * 2 / 20, -8 * 2 / 29]);
|
});
|
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.atan2(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 / 8, 7 * 2 / 13, 8 * 2 / 20, 9 * 2 / 29]);
|
expect(db.shape).toEqual(b.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await db.data(), [-6 * 2 / 8 + -7 * 3 / 13 + -8 * 4 / 20 + -9 * 5 / 29]);
|
});
|
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.atan2(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 / 13 + 7 * 3 / 18, 8 * 4 / 32 + 9 * 5 / 41]);
|
expect(db.shape).toEqual(b.shape);
|
expect(db.dtype).toEqual('float32');
|
expectArraysClose(await db.data(), [-6 * 3 / 13, -7 * 3 / 18, -8 * 4 / 32, -9 * 4 / 41]);
|
});
|
it('throws when passed a as a non-tensor', () => {
|
expect(() => tf.atan2({}, tf.scalar(1)))
|
.toThrowError(/Argument 'a' passed to 'atan2' must be a Tensor/);
|
});
|
it('throws when passed b as a non-tensor', () => {
|
expect(() => tf.atan2(tf.scalar(1), {}))
|
.toThrowError(/Argument 'b' passed to 'atan2' must be a Tensor/);
|
});
|
it('accepts a tensor-like object', async () => {
|
const a = [[1, 2, 3], [4, 5, 6]];
|
const c = 2;
|
const r = tf.atan2(a, c);
|
const expected = [];
|
for (let i = 0; i < 6; i++) {
|
expected[i] = Math.atan2(i + 1, 2);
|
}
|
expectArraysClose(await r.data(), expected);
|
});
|
it('throws for string tensor', () => {
|
expect(() => tf.atan2('q', 3))
|
.toThrowError(/Argument 'a' passed to 'atan2' must be numeric/);
|
expect(() => tf.atan2(3, 'q'))
|
.toThrowError(/Argument 'b' passed to 'atan2' must be numeric/);
|
});
|
});
|
describeWithFlags('div', ALL_ENVS, () => {
|
it('divNoNan divide 0', async () => {
|
// Broadcast div a with b.
|
const a = tf.tensor1d([2, 4, 6, 8]);
|
const b = tf.tensor1d([0, 0, 0, 0]);
|
const c = a.divNoNan(b);
|
expect(c.shape).toEqual(a.shape);
|
expectArraysClose(await c.data(), [0, 0, 0, 0]);
|
});
|
it('divNoNan divide 0 and non-0', async () => {
|
// Broadcast div a with b.
|
const a = tf.tensor1d([2, 4, 6, 8]);
|
const b = tf.tensor1d([2, 2, 0, 4]);
|
const c = a.divNoNan(b);
|
expect(c.shape).toEqual(a.shape);
|
expectArraysClose(await c.data(), [1, 2, 0, 2]);
|
});
|
it('divNoNan divide 0 broadcast', async () => {
|
// Broadcast div a with b.
|
const a = tf.tensor1d([2, 4, 6, 8]);
|
const b = tf.scalar(0);
|
const c = a.divNoNan(b);
|
expect(c.shape).toEqual(a.shape);
|
expectArraysClose(await c.data(), [0, 0, 0, 0]);
|
});
|
});
|
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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('prelu', ALL_ENVS, () => {\n  it('basic', async () => {\n    const x = tf.tensor1d([0, 1, -2, -4]);\n    const a = tf.tensor1d([0.15, 0.2, 0.25, 0.15]);\n    const result = tf.prelu(x, a);\n\n    expect(result.shape).toEqual(x.shape);\n    expectArraysClose(await result.data(), [0, 1, -0.5, -0.6]);\n  });\n\n  it('basic TensorLike', async () => {\n    const x = [0, 1, -2, -4];\n    const a = [0.15, 0.2, 0.25, 0.15];\n    const result = tf.prelu(x, a);\n\n    expect(result.shape).toEqual([4]);\n    expectArraysClose(await result.data(), [0, 1, -0.5, -0.6]);\n  });\n\n  it('basic TensorLike chained', async () => {\n    const x = tf.tensor1d([0, 1, -2, -4]);\n    const a = [0.15, 0.2, 0.25, 0.15];\n    const result = x.prelu(a);\n\n    expect(result.shape).toEqual(x.shape);\n    expectArraysClose(await result.data(), [0, 1, -0.5, -0.6]);\n  });\n\n  it('basic int32', async () => {\n    const x = tf.tensor1d([0, 1, -2, -4], 'int32');\n    const a = [0.15, 0.2, 0.25, 0.15];\n    const result = tf.prelu(x, a);\n\n    expect(result.shape).toEqual([4]);\n    expect(result.dtype).toEqual('float32');\n    expectArraysClose(await result.data(), [0, 1, -0.5, -0.6]);\n  });\n\n  it('derivative', async () => {\n    const x = tf.tensor1d([0.5, 3, -0.1, -4]);\n    const a = tf.tensor1d([0.2, 0.4, 0.25, 0.15]);\n    const dy = tf.tensor1d([1, 1, 1, 1]);\n\n    const dx = tf.grad(x => tf.prelu(x, a))(x, dy);\n\n    expect(dx.shape).toEqual(x.shape);\n    expect(dx.dtype).toEqual('float32');\n    expectArraysClose(await dx.data(), [1, 1, 0.25, 0.15]);\n  });\n\n  it('gradient with clones', async () => {\n    const x = tf.tensor1d([0.5, 3, -0.1, -4]);\n    const a = tf.tensor1d([0.2, 0.4, 0.25, 0.15]);\n    const dx = tf.grad(x => tf.prelu(x.clone(), a).clone())(x);\n\n    expect(dx.shape).toEqual(x.shape);\n    expect(dx.dtype).toEqual('float32');\n    expectArraysClose(await dx.data(), [1, 1, 0.25, 0.15]);\n  });\n\n  it('derivative where alpha got broadcasted', async () => {\n    const x = tf.tensor2d([[0.5, 3, -0.1, -4]]);\n    const a = tf.tensor2d([[0.2]]);\n    const dy = tf.tensor2d([[1, 1, 1, 1]]);\n\n    const da = tf.grad(a => tf.prelu(x, a))(a, dy);\n    expect(da.shape).toEqual(a.shape);\n    expectArraysClose(await da.data(), [-4.1]);\n  });\n\n  it('throws when passed x as a non-tensor', () => {\n    expect(() => tf.prelu({} as tf.Tensor, tf.scalar(1)))\n        .toThrowError(/Argument 'x' passed to 'prelu' must be a Tensor/);\n  });\n  it('throws when passed alpha as a non-tensor', () => {\n    expect(() => tf.prelu(tf.scalar(1), {} as tf.Tensor))\n        .toThrowError(/Argument 'alpha' passed to 'prelu' must be a Tensor/);\n  });\n\n  it('throws for string tensor', () => {\n    expect(() => tf.prelu(['a'], 0.1))\n        .toThrowError(/Argument 'x' passed to 'prelu' must be numeric tensor/);\n  });\n});\n\ndescribeWithFlags('maximum', ALL_ENVS, () => {\n  it('float32 and float32', async () => {\n    const a = tf.tensor1d([0.5, 3, -0.1, -4]);\n    const b = tf.tensor1d([0.2, 0.4, 0.25, 0.15]);\n    const result = tf.maximum(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(await result.data(), [0.5, 3, 0.25, 0.15]);\n  });\n\n  it('TensorLike', async () => {\n    const a = [0.5, 3, -0.1, -4];\n    const b = [0.2, 0.4, 0.25, 0.15];\n    const result = tf.maximum(a, b);\n\n    expect(result.shape).toEqual([4]);\n    expectArraysClose(await result.data(), [0.5, 3, 0.25, 0.15]);\n  });\n\n  it('TensorLike chained', async () => {\n    const a = tf.tensor1d([0.5, 3, -0.1, -4]);\n    const b = [0.2, 0.4, 0.25, 0.15];\n    const result = a.maximum(b);\n\n    expect(result.shape).toEqual([4]);\n    expectArraysClose(await result.data(), [0.5, 3, 0.25, 0.15]);\n  });\n\n  it('int32 and int32', async () => {\n    const a = tf.tensor1d([1, 5, 2, 3], 'int32');\n    const b = tf.tensor1d([2, 3, 1, 4], 'int32');\n    const result = tf.maximum(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expect(result.dtype).toBe('int32');\n    expectArraysEqual(await result.data(), [2, 5, 2, 4]);\n  });\n\n  it('bool and bool', async () => {\n    const a = tf.tensor1d([true, false, false, true], 'bool');\n    const b = tf.tensor1d([false, false, true, true], 'bool');\n    const result = tf.maximum(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expect(result.dtype).toBe('int32');\n    expectArraysEqual(await result.data(), [1, 0, 1, 1]);\n  });\n\n  it('upcasts when dtypes dont match', async () => {\n    const a = tf.tensor1d([1, 0, 0, 1], 'float32');\n    const b = tf.tensor1d([0, 0, 1, 1], 'int32');\n    const res = tf.maximum(a, b);\n    expect(res.shape).toEqual(a.shape);\n    expect(res.dtype).toBe('float32');\n    expectArraysEqual(await res.data(), [1, 0, 1, 1]);\n  });\n\n  it('propagates NaN', async () => {\n    const a = tf.tensor1d([0.5, -0.1, NaN]);\n    const b = tf.tensor1d([0.2, 0.3, 0.25]);\n    const result = tf.maximum(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(await result.data(), [0.5, 0.3, NaN]);\n  });\n\n  it('broadcasts Tensor1D and scalar', async () => {\n    const a = tf.tensor1d([0.5, 3, -0.1, -4]);\n    const b = tf.scalar(0.6);\n    const result = tf.maximum(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(await result.data(), [0.6, 3, 0.6, 0.6]);\n  });\n\n  it('broadcasts scalar and Tensor1D', async () => {\n    const a = tf.scalar(0.6);\n    const b = tf.tensor1d([0.5, 3, -0.1, -4]);\n    const result = tf.maximum(a, b);\n\n    expect(result.shape).toEqual(b.shape);\n    expectArraysClose(await result.data(), [0.6, 3, 0.6, 0.6]);\n  });\n\n  it('broadcasts Tensor1D and Tensor2D', async () => {\n    const a = tf.tensor1d([0.5, 0.3]);\n    const b = tf.tensor2d([0.2, 0.4, 0.6, 0.15], [2, 2]);\n    const result = tf.maximum(a, b);\n\n    expect(result.shape).toEqual(b.shape);\n    expectArraysClose(await result.data(), [0.5, 0.4, 0.6, 0.3]);\n  });\n\n  it('broadcasts 2x1 Tensor2D and 2x2 Tensor2D', async () => {\n    const a = tf.tensor2d([0.5, 0.3], [2, 1]);\n    const b = tf.tensor2d([0.2, 0.4, 0.6, 0.15], [2, 2]);\n    const result = tf.maximum(a, b);\n\n    expect(result.shape).toEqual(b.shape);\n    expectArraysClose(await result.data(), [0.5, 0.5, 0.6, 0.3]);\n  });\n\n  it('gradients: Scalar', async () => {\n    const a = tf.scalar(5.2);\n    const b = tf.scalar(0.6);\n    const dy = tf.scalar(3);\n\n    const grads = tf.grads((a, b) => tf.maximum(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [3 * 1]);\n    expectArraysClose(await db.data(), [3 * 0]);\n  });\n\n  it('gradient with clones', async () => {\n    const a = tf.scalar(5.2);\n    const b = tf.scalar(0.6);\n    const dy = tf.scalar(3);\n\n    const grads = tf.grads((a, b) => tf.maximum(a.clone(), b.clone()).clone());\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [3 * 1]);\n    expectArraysClose(await db.data(), [3 * 0]);\n  });\n\n  it('gradients: Tensor1D', async () => {\n    const a = tf.tensor1d([1.1, 2.6, 3, 5.9]);\n    const b = tf.tensor1d([1.0, 2.7, 3, 5.8]);\n    const dy = tf.tensor1d([1, 2, 3, 4]);\n\n    const grads = tf.grads((a, b) => tf.maximum(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [1 * 1, 2 * 0, 3 * 1, 4 * 1]);\n    expectArraysClose(await db.data(), [1 * 0, 2 * 1, 3 * 0, 4 * 0]);\n  });\n\n  it('gradients: Tensor2D', async () => {\n    const a = tf.tensor2d([0.5, 0.3, 0.7, 0.9], [2, 2]);\n    const b = tf.tensor2d([0.2, 0.4, 0.7, 0.15], [2, 2]);\n    const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n\n    const grads = tf.grads((a, b) => tf.maximum(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [1 * 1, 2 * 0, 3 * 1, 4 * 1]);\n    expectArraysClose(await db.data(), [1 * 0, 2 * 1, 3 * 0, 4 * 0]);\n  });\n\n  it('throws when passed a as a non-tensor', () => {\n    expect(() => tf.maximum({} as tf.Tensor, tf.scalar(1)))\n        .toThrowError(/Argument 'a' passed to 'maximum' must be a Tensor/);\n  });\n  it('throws when passed b as a non-tensor', () => {\n    expect(() => tf.maximum(tf.scalar(1), {} as tf.Tensor))\n        .toThrowError(/Argument 'b' passed to 'maximum' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const a = [[0.5, 3], [-0.1, -4]];\n    const b = [[0.2, 0.4], [0.25, 0.15]];\n    const result = tf.maximum(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    expectArraysClose(await result.data(), [0.5, 3, 0.25, 0.15]);\n  });\n\n  it('throws for string tensor', () => {\n    expect(() => tf.maximum('q', 3))\n        .toThrowError(\n            /Argument 'a' passed to 'maximum' must be numeric tensor/);\n\n    expect(() => tf.maximum(3, 'q'))\n        .toThrowError(\n            /Argument 'b' passed to 'maximum' must be numeric tensor/);\n  });\n});\n\ndescribeWithFlags('squaredDifference', ALL_ENVS, () => {\n  it('float32 and float32', async () => {\n    const a = tf.tensor1d([0.5, 3, -0.1, -4]);\n    const b = tf.tensor1d([0.2, 0.4, 0.25, 0.15]);\n    const result = tf.squaredDifference(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(await result.data(), [\n      Math.pow(0.5 - 0.2, 2), Math.pow(3 - 0.4, 2), Math.pow(-0.1 - 0.25, 2),\n      Math.pow(-4 - 0.15, 2)\n    ]);\n  });\n\n  it('TensorLike', async () => {\n    const a = [0.5, 3, -0.1, -4];\n    const b = [0.2, 0.4, 0.25, 0.15];\n    const result = tf.squaredDifference(a, b);\n\n    expect(result.shape).toEqual([4]);\n    expectArraysClose(await result.data(), [\n      Math.pow(0.5 - 0.2, 2), Math.pow(3 - 0.4, 2), Math.pow(-0.1 - 0.25, 2),\n      Math.pow(-4 - 0.15, 2)\n    ]);\n  });\n\n  it('TensorLike chained', async () => {\n    const a = tf.tensor1d([0.5, 3, -0.1, -4]);\n    const b = [0.2, 0.4, 0.25, 0.15];\n    const result = a.squaredDifference(b);\n\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(await result.data(), [\n      Math.pow(0.5 - 0.2, 2), Math.pow(3 - 0.4, 2), Math.pow(-0.1 - 0.25, 2),\n      Math.pow(-4 - 0.15, 2)\n    ]);\n  });\n\n  it('int32 and int32', async () => {\n    const a = tf.tensor1d([1, 5, 2, 3], 'int32');\n    const b = tf.tensor1d([2, 3, 1, 4], 'int32');\n    const result = tf.squaredDifference(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expect(result.dtype).toBe('int32');\n    expectArraysEqual(await result.data(), [\n      Math.pow(1 - 2, 2), Math.pow(5 - 3, 2), Math.pow(2 - 1, 2),\n      Math.pow(3 - 4, 2)\n    ]);\n  });\n\n  it('upcasts when dtypes dont match', async () => {\n    let res =\n        tf.squaredDifference(tf.scalar(5, 'int32'), tf.scalar(2, 'float32'));\n    expect(res.dtype).toBe('float32');\n    expectArraysClose(await res.data(), [9]);\n\n    res = tf.squaredDifference(tf.scalar(5, 'int32'), tf.scalar(true, 'bool'));\n    expect(res.dtype).toBe('int32');\n    expectArraysClose(await res.data(), [16]);\n\n    res = tf.squaredDifference(tf.scalar(5, 'int32'), tf.scalar(false, 'bool'));\n    expect(res.dtype).toBe('int32');\n    expectArraysClose(await res.data(), [25]);\n  });\n\n  it('propagates NaN', async () => {\n    const a = tf.tensor1d([0.5, -0.1, NaN]);\n    const b = tf.tensor1d([0.2, 0.3, 0.25]);\n    const result = tf.squaredDifference(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(\n        await result.data(),\n        [Math.pow(0.5 - 0.2, 2), Math.pow(-0.1 - 0.3, 2), NaN]);\n  });\n\n  it('broadcasts Tensor1D and scalar', async () => {\n    const a = tf.tensor1d([0.5, 3, -0.1, -4]);\n    const b = tf.scalar(0.6);\n    const result = tf.squaredDifference(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(await result.data(), [\n      Math.pow(0.5 - 0.6, 2), Math.pow(3 - 0.6, 2), Math.pow(-0.1 - 0.6, 2),\n      Math.pow(-4 - 0.6, 2)\n    ]);\n  });\n\n  it('broadcasts scalar and Tensor1D', async () => {\n    const a = tf.scalar(0.6);\n    const b = tf.tensor1d([0.5, 3, -0.1, -4]);\n    const result = tf.squaredDifference(a, b);\n\n    expect(result.shape).toEqual(b.shape);\n    expectArraysClose(await result.data(), [\n      Math.pow(0.6 - 0.5, 2), Math.pow(0.6 - 3, 2), Math.pow(0.6 - (-0.1), 2),\n      Math.pow(0.6 - (-4), 2)\n    ]);\n  });\n\n  it('broadcasts Tensor1D and Tensor2D', async () => {\n    const a = tf.tensor1d([0.5, 0.3]);\n    const b = tf.tensor2d([0.2, 0.4, 0.6, 0.15], [2, 2]);\n    const result = tf.squaredDifference(a, b);\n\n    expect(result.shape).toEqual(b.shape);\n    expectArraysClose(await result.data(), [\n      Math.pow(0.5 - 0.2, 2), Math.pow(0.3 - 0.4, 2), Math.pow(0.5 - 0.6, 2),\n      Math.pow(0.3 - 0.15, 2)\n    ]);\n  });\n\n  it('broadcasts 2x1 Tensor2D and 2x2 Tensor2D', async () => {\n    const a = tf.tensor2d([0.5, 0.3], [2, 1]);\n    const b = tf.tensor2d([0.2, 0.4, 0.6, 0.15], [2, 2]);\n    const result = tf.squaredDifference(a, b);\n\n    expect(result.shape).toEqual(b.shape);\n    expectArraysClose(await result.data(), [\n      Math.pow(0.5 - 0.2, 2), Math.pow(0.5 - 0.4, 2), Math.pow(0.3 - 0.6, 2),\n      Math.pow(0.3 - 0.15, 2)\n    ]);\n  });\n\n  it('gradients: Scalar', async () => {\n    const a = tf.scalar(5.2);\n    const b = tf.scalar(0.6);\n    const dy = tf.scalar(3);\n\n    const grads = tf.grads((a, b) => tf.squaredDifference(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [3 * 2 * (5.2 - 0.6)]);\n    expectArraysClose(await db.data(), [3 * 2 * (0.6 - 5.2)]);\n  });\n\n  it('gradient with clones', async () => {\n    const a = tf.scalar(5.2);\n    const b = tf.scalar(0.6);\n    const dy = tf.scalar(3);\n\n    const grads =\n        tf.grads((a, b) => tf.squaredDifference(a.clone(), b.clone()).clone());\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [3 * 2 * (5.2 - 0.6)]);\n    expectArraysClose(await db.data(), [3 * 2 * (0.6 - 5.2)]);\n  });\n\n  it('gradients: Tensor1D', async () => {\n    const a = tf.tensor1d([1.1, 2.6, 3, 5.9]);\n    const b = tf.tensor1d([1.0, 2.7, 3, 5.8]);\n    const dy = tf.tensor1d([1, 2, 3, 1]);\n\n    const grads = tf.grads((a, b) => tf.squaredDifference(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [\n      1 * 2 * (1.1 - 1.0), 2 * 2 * (2.6 - 2.7), 3 * 2 * (3 - 3),\n      1 * 2 * (5.9 - 5.8)\n    ]);\n    expectArraysClose(await db.data(), [\n      1 * 2 * (1.0 - 1.1), 2 * 2 * (2.7 - 2.6), 3 * 2 * (3 - 3),\n      1 * 2 * (5.8 - 5.9)\n    ]);\n  });\n\n  it('gradients: Tensor2D', async () => {\n    const a = tf.tensor2d([0.5, 0.3, 0.7, 0.9], [2, 2]);\n    const b = tf.tensor2d([0.2, 0.4, 0.7, 0.15], [2, 2]);\n    const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n\n    const grads = tf.grads((a, b) => tf.squaredDifference(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [\n      1 * 2 * (0.5 - 0.2), 2 * 2 * (0.3 - 0.4), 3 * 2 * (0.7 - 0.7),\n      4 * 2 * (0.9 - 0.15)\n    ]);\n    expectArraysClose(await db.data(), [\n      1 * 2 * (0.2 - 0.5), 2 * 2 * (0.4 - 0.3), 3 * 2 * (0.7 - 0.7),\n      4 * 2 * (0.15 - 0.9)\n    ]);\n  });\n\n  it('throws when passed a as a non-tensor', () => {\n    expect(() => tf.squaredDifference({} as tf.Tensor, tf.scalar(1)))\n        .toThrowError(\n            /Argument 'a' passed to 'squaredDifference' must be a Tensor/);\n  });\n  it('throws when passed b as a non-tensor', () => {\n    expect(() => tf.squaredDifference(tf.scalar(1), {} as tf.Tensor))\n        .toThrowError(\n            /Argument 'b' passed to 'squaredDifference' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const a = [[0.5, 3], [-0.1, -4]];\n    const b = 0.6;\n    const result = tf.squaredDifference(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    expectArraysClose(await result.data(), [\n      Math.pow(0.5 - 0.6, 2), Math.pow(3 - 0.6, 2), Math.pow(-0.1 - 0.6, 2),\n      Math.pow(-4 - 0.6, 2)\n    ]);\n  });\n\n  it('throws for string tensor', () => {\n    expect(() => tf.squaredDifference('q', 3))\n        .toThrowError(\n            /Argument 'a' passed to 'squaredDifference' must be numeric/);\n\n    expect(() => tf.squaredDifference(3, 'q'))\n        .toThrowError(\n            /Argument 'b' passed to 'squaredDifference' must be numeric/);\n  });\n});\n\ndescribeWithFlags('minimum', ALL_ENVS, () => {\n  it('float32 and float32', async () => {\n    const a = tf.tensor1d([0.5, 3, -0.1, -4]);\n    const b = tf.tensor1d([0.2, 0.4, 0.25, 0.15]);\n    const result = tf.minimum(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(await result.data(), [0.2, 0.4, -0.1, -4]);\n  });\n\n  it('TensorLike', async () => {\n    const a = [0.5, 3, -0.1, -4];\n    const b = [0.2, 0.4, 0.25, 0.15];\n    const result = tf.minimum(a, b);\n\n    expect(result.shape).toEqual([4]);\n    expectArraysClose(await result.data(), [0.2, 0.4, -0.1, -4]);\n  });\n\n  it('TensorLike chained', async () => {\n    const a = tf.tensor1d([0.5, 3, -0.1, -4]);\n    const b = [0.2, 0.4, 0.25, 0.15];\n    const result = a.minimum(b);\n\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(await result.data(), [0.2, 0.4, -0.1, -4]);\n  });\n\n  it('int32 and int32', async () => {\n    const a = tf.tensor1d([1, 5, 2, 3], 'int32');\n    const b = tf.tensor1d([2, 3, 1, 4], 'int32');\n    const result = tf.minimum(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expect(result.dtype).toBe('int32');\n    expectArraysEqual(await result.data(), [1, 3, 1, 3]);\n  });\n\n  it('bool and bool', async () => {\n    const a = tf.tensor1d([true, false, false, true], 'bool');\n    const b = tf.tensor1d([false, false, true, true], 'bool');\n    const result = tf.minimum(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expect(result.dtype).toBe('int32');\n    expectArraysEqual(await result.data(), [0, 0, 0, 1]);\n  });\n\n  it('upcasts when dtypes dont match', async () => {\n    const a = tf.tensor1d([1, 0, 0, 1], 'float32');\n    const b = tf.tensor1d([0, 0, 1, 1], 'int32');\n    const res = tf.minimum(a, b);\n    expect(res.shape).toEqual(a.shape);\n    expect(res.dtype).toBe('float32');\n    expectArraysEqual(await res.data(), [0, 0, 0, 1]);\n  });\n\n  it('propagates NaN', async () => {\n    const a = tf.tensor1d([0.5, -0.1, NaN]);\n    const b = tf.tensor1d([0.2, 0.3, 0.25]);\n    const result = tf.minimum(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(await result.data(), [0.2, -0.1, NaN]);\n  });\n\n  it('broadcasts Tensor1D and scalar', async () => {\n    const a = tf.tensor1d([0.5, 3, -0.1, -4]);\n    const b = tf.scalar(0.6);\n    const result = tf.minimum(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(await result.data(), [0.5, 0.6, -0.1, -4]);\n  });\n\n  it('broadcasts scalar and Tensor1D', async () => {\n    const a = tf.scalar(0.6);\n    const b = tf.tensor1d([0.5, 3, -0.1, -4]);\n    const result = tf.minimum(a, b);\n\n    expect(result.shape).toEqual(b.shape);\n    expectArraysClose(await result.data(), [0.5, 0.6, -0.1, -4]);\n  });\n\n  it('broadcasts Tensor1D and Tensor2D', async () => {\n    const a = tf.tensor1d([0.5, 0.3]);\n    const b = tf.tensor2d([0.2, 0.4, 0.6, 0.15], [2, 2]);\n    const result = tf.minimum(a, b);\n\n    expect(result.shape).toEqual(b.shape);\n    expectArraysClose(await result.data(), [0.2, 0.3, 0.5, 0.15]);\n  });\n\n  it('broadcasts 2x1 Tensor2D and 2x2 Tensor2D', async () => {\n    const a = tf.tensor2d([0.5, 0.3], [2, 1]);\n    const b = tf.tensor2d([0.2, 0.4, 0.6, 0.15], [2, 2]);\n    const result = tf.minimum(a, b);\n\n    expect(result.shape).toEqual(b.shape);\n    expectArraysClose(await result.data(), [0.2, 0.4, 0.3, 0.15]);\n  });\n\n  it('gradients: Scalar', async () => {\n    const a = tf.scalar(5.2);\n    const b = tf.scalar(0.6);\n    const dy = tf.scalar(3);\n\n    const grads = tf.grads((a, b) => tf.minimum(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [3 * 0]);\n    expectArraysClose(await db.data(), [3 * 1]);\n  });\n\n  it('gradient with clones', async () => {\n    const a = tf.scalar(5.2);\n    const b = tf.scalar(0.6);\n    const dy = tf.scalar(3);\n\n    const grads = tf.grads((a, b) => tf.minimum(a.clone(), b.clone()).clone());\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [3 * 0]);\n    expectArraysClose(await db.data(), [3 * 1]);\n  });\n\n  it('gradients: Tensor1D', async () => {\n    const a = tf.tensor1d([1.1, 2.6, 3, 5.9]);\n    const b = tf.tensor1d([1.0, 2.7, 3, 5.8]);\n    const dy = tf.tensor1d([1, 2, 3, 4]);\n\n    const grads = tf.grads((a, b) => tf.minimum(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [1 * 0, 2 * 1, 3 * 1, 4 * 0]);\n    expectArraysClose(await db.data(), [1 * 1, 2 * 0, 3 * 0, 4 * 1]);\n  });\n\n  it('gradients: Tensor2D', async () => {\n    const a = tf.tensor2d([0.5, 0.3, 0.7, 0.9], [2, 2]);\n    const b = tf.tensor2d([0.2, 0.4, 0.7, 0.15], [2, 2]);\n    const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n\n    const grads = tf.grads((a, b) => tf.minimum(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [1 * 0, 2 * 1, 3 * 1, 4 * 0]);\n    expectArraysClose(await db.data(), [1 * 1, 2 * 0, 3 * 0, 4 * 1]);\n  });\n\n  it('throws when passed a as a non-tensor', () => {\n    expect(() => tf.minimum({} as tf.Tensor, tf.scalar(1)))\n        .toThrowError(/Argument 'a' passed to 'minimum' must be a Tensor/);\n  });\n  it('throws when passed b as a non-tensor', () => {\n    expect(() => tf.minimum(tf.scalar(1), {} as tf.Tensor))\n        .toThrowError(/Argument 'b' passed to 'minimum' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const a = [[0.5, 3], [-0.1, -4]];\n    const b = [[0.2, 0.4], [0.25, 0.15]];\n    const result = tf.minimum(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    expectArraysClose(await result.data(), [0.2, 0.4, -0.1, -4]);\n  });\n\n  it('throws for string tensor', () => {\n    expect(() => tf.minimum('q', 3))\n        .toThrowError(/Argument 'a' passed to 'minimum' must be numeric/);\n\n    expect(() => tf.minimum(3, 'q'))\n        .toThrowError(/Argument 'b' passed to 'minimum' must be numeric/);\n  });\n});\n\ndescribeWithFlags('mod', ALL_ENVS, () => {\n  it('float32 and float32', async () => {\n    const a = tf.tensor1d([0.5, 3, -0.1, -4]);\n    const b = tf.tensor1d([0.2, 0.4, 0.25, 0.15]);\n    const result = tf.mod(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(await result.data(), [0.1, 0.2, 0.15, 0.05]);\n  });\n\n  it('TensorLike', async () => {\n    const a = [0.5, 3, -0.1, -4];\n    const b = [0.2, 0.4, 0.25, 0.15];\n    const result = tf.mod(a, b);\n\n    expect(result.shape).toEqual([4]);\n    expectArraysClose(await result.data(), [0.1, 0.2, 0.15, 0.05]);\n  });\n\n  it('TensorLike chained', async () => {\n    const a = tf.tensor1d([0.5, 3, -0.1, -4]);\n    const b = [0.2, 0.4, 0.25, 0.15];\n    const result = a.mod(b);\n\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(await result.data(), [0.1, 0.2, 0.15, 0.05]);\n  });\n\n  it('int32 and int32', async () => {\n    const a = tf.tensor1d([1, 5, 2, 3], 'int32');\n    const b = tf.tensor1d([2, 3, 1, 4], 'int32');\n    const result = tf.mod(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expect(result.dtype).toBe('int32');\n    expectArraysEqual(await result.data(), [1, 2, 0, 3]);\n  });\n\n  it('upcasts when dtypes dont match', async () => {\n    let res = tf.mod(tf.scalar(5, 'int32'), tf.scalar(2, 'float32'));\n    expect(res.dtype).toBe('float32');\n    expectArraysClose(await res.data(), [1]);\n\n    res = tf.mod(tf.scalar(5, 'int32'), tf.scalar(true, 'bool'));\n    expect(res.dtype).toBe('int32');\n    expectArraysClose(await res.data(), [0]);\n  });\n\n  it('propagates NaN', async () => {\n    const a = tf.tensor1d([5, -1, NaN]);\n    const b = tf.tensor1d([2, 3, 0.25]);\n    const result = tf.mod(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(await result.data(), [1, 2, NaN]);\n  });\n\n  it('broadcasts Tensor1D and scalar', async () => {\n    const a = tf.tensor1d([0.5, 2.5, -0.1, -4], 'float32');\n    const b = tf.scalar(0.6);\n    const result = tf.mod(a, b);\n\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(await result.data(), [0.5, 0.1, 0.5, 0.2]);\n  });\n\n  it('broadcasts scalar and Tensor1D', async () => {\n    // TODO(manraj): Fix for case fmod(0.6, -0.1)\n    const a = tf.scalar(2);\n    const b = tf.tensor1d([3, 3, -1, -4]);\n    const result = tf.mod(a, b);\n\n    expect(result.shape).toEqual(b.shape);\n    expectArraysClose(await result.data(), [2, 2, 0, -2]);\n  });\n\n  it('broadcasts Tensor1D and Tensor2D', async () => {\n    const a = tf.tensor1d([0.5, 0.3]);\n    const b = tf.tensor2d([0.2, 0.4, 0.6, 0.15], [2, 2]);\n    const result = tf.mod(a, b);\n\n    expect(result.shape).toEqual(b.shape);\n    expectArraysClose(await result.data(), [0.1, 0.3, 0.5, 0.0]);\n  });\n\n  it('broadcasts 2x1 Tensor2D and 2x2 Tensor2D', async () => {\n    const a = tf.tensor2d([0.5, 0.3], [2, 1]);\n    const b = tf.tensor2d([0.2, 0.4, 0.6, 0.15], [2, 2]);\n    const result = tf.mod(a, b);\n\n    expect(result.shape).toEqual(b.shape);\n    expectArraysClose(await result.data(), [0.1, 0.1, 0.3, 0.0]);\n  });\n\n  it('gradients: Scalar', async () => {\n    const a = tf.scalar(5.2);\n    const b = tf.scalar(0.6);\n    const dy = tf.scalar(3);\n\n    const grads = tf.grads((a, b) => tf.mod(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [3]);\n    expectArraysClose(await db.data(), [3 * -1 * Math.floor(5.2 / 0.6)]);\n  });\n\n  it('gradient with clones', async () => {\n    const a = tf.scalar(5.2);\n    const b = tf.scalar(0.6);\n    const dy = tf.scalar(3);\n\n    const grads = tf.grads((a, b) => tf.mod(a.clone(), b.clone()).clone());\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [3]);\n    expectArraysClose(await db.data(), [3 * -1 * Math.floor(5.2 / 0.6)]);\n  });\n\n  it('gradients: Tensor1D', async () => {\n    const a = tf.tensor1d([1.1, 2.6, 3, 5.9]);\n    const b = tf.tensor1d([1.0, 2.7, 3, 5.8]);\n    const dy = tf.tensor1d([1, 2, 3, 4]);\n\n    const grads = tf.grads((a, b) => tf.mod(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [1 * 1, 2 * 1, 3 * 1, 4 * 1]);\n    expectArraysClose(await db.data(), [\n      1 * -1 * Math.floor(1.1 / 1.0), 2 * -1 * Math.floor(2.6 / 2.7),\n      3 * -1 * Math.floor(3 / 3), 4 * -1 * Math.floor(5.9 / 5.8)\n    ]);\n  });\n\n  it('gradients: Tensor2D', async () => {\n    const a = tf.tensor2d([0.5, 0.3, 0.7, 0.91], [2, 2]);\n    const b = tf.tensor2d([0.2, 0.4, 0.7, 0.15], [2, 2]);\n    const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n\n    const grads = tf.grads((a, b) => tf.mod(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [1 * 1, 2 * 1, 3 * 1, 4 * 1]);\n    expectArraysClose(await db.data(), [\n      1 * -1 * Math.floor(0.5 / 0.2), 2 * -1 * Math.floor(0.3 / 0.4),\n      3 * -1 * Math.floor(0.7 / 0.7), 4 * -1 * Math.floor(0.91 / 0.15)\n    ]);\n  });\n\n  it('gradients: broadcasts scalar and Tensor1D', async () => {\n    const a = tf.scalar(0.7);\n    const b = tf.tensor1d([0.2, 0.3, 0.4, 0.5]);\n    const dy = tf.tensor1d([1, 2, 3, 4]);\n\n    const grads = tf.grads((a, b) => tf.mod(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [1 + 2 + 3 + 4]);\n    expectArraysClose(await db.data(), [\n      1 * -1 * Math.floor(0.7 / 0.2), 2 * -1 * Math.floor(0.7 / 0.3),\n      3 * -1 * Math.floor(0.7 / 0.4), 4 * -1 * Math.floor(0.7 / 0.5)\n    ]);\n  });\n\n  it('broadcasts Tensor1D and Tensor2D', async () => {\n    const a = tf.tensor1d([0.5, 0.3]);\n    const b = tf.tensor2d([0.2, 0.4, 0.7, 0.15], [2, 2]);\n    const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n\n    const grads = tf.grads((a, b) => tf.mod(a, b));\n    const [da, db] = grads([a, b], dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(db.shape).toEqual(b.shape);\n    expect(da.dtype).toEqual('float32');\n    expect(db.dtype).toEqual('float32');\n\n    expectArraysClose(await da.data(), [1 * 1 + 3 * 1, 2 * 1 + 4 * 1]);\n    expectArraysClose(await db.data(), [\n      1 * -1 * Math.floor(0.5 / 0.2), 2 * -1 * Math.floor(0.3 / 0.4),\n      3 * -1 * Math.floor(0.5 / 0.7), 4 * -1 * Math.floor(0.3 / 0.15)\n    ]);\n  });\n\n  it('throws when passed a as a non-tensor', () => {\n    expect(() => tf.mod({} as tf.Tensor, tf.scalar(1)))\n        .toThrowError(/Argument 'a' passed to 'mod' must be a Tensor/);\n  });\n  it('throws when passed b as a non-tensor', () => {\n    expect(() => tf.mod(tf.scalar(1), {} as tf.Tensor))\n        .toThrowError(/Argument 'b' passed to 'mod' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const a = [[0.5, 3], [-0.1, -4]];\n    const b = [[0.2, 0.4], [0.25, 0.15]];\n    const result = tf.mod(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    expectArraysClose(await result.data(), [0.1, 0.2, 0.15, 0.05]);\n  });\n\n  it('throws for string tensor', () => {\n    expect(() => tf.mod('q', 3))\n        .toThrowError(/Argument 'a' passed to 'mod' must be numeric/);\n\n    expect(() => tf.mod(3, 'q'))\n        .toThrowError(/Argument 'b' passed to 'mod' must be numeric/);\n  });\n});\n\ndescribeWithFlags('atan2', ALL_ENVS, () => {\n  it('same shape', async () => {\n    const aValues = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0];\n    const bValues = [1.0, 2.5, 3.5, 4.5, 2.0, 5.0];\n\n    const a = tf.tensor2d(aValues, [2, 3]);\n    const c = tf.tensor2d(bValues, [2, 3]);\n\n    const r = tf.atan2(a, c);\n    const expected = [];\n\n    for (let i = 0; i < a.size; i++) {\n      expected[i] = Math.atan2(aValues[i], bValues[i]);\n    }\n    expectArraysClose(await r.data(), expected);\n  });\n\n  it('uses chaining', async () => {\n    const aValues = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0];\n    const bValues = [1.0, 2.5, 3.5, 4.5, 2.0, 5.0];\n\n    const a = tf.tensor2d(aValues, [2, 3]);\n    const b = tf.tensor2d(bValues, [2, 3]);\n\n    const r = a.atan2(b);\n    const expected = [];\n\n    for (let i = 0; i < a.size; i++) {\n      expected[i] = Math.atan2(aValues[i], bValues[i]);\n    }\n    expectArraysClose(await r.data(), expected);\n  });\n\n  it('propagates NaNs', async () => {\n    const a = tf.tensor2d([1.0, 2.0], [2, 1]);\n    const c = tf.tensor2d([3.0, NaN], [2, 1]);\n\n    const r = tf.atan2(a, c);\n\n    expectArraysClose(await r.data(), [Math.atan2(1.0, 3.0), NaN]);\n  });\n\n  it('broadcasting same rank Tensors different shape', async () => {\n    const aValues = [1.0, 2.0, -3.0, -4.0];\n    const bValues = [2.0, 3.0];\n\n    const a = tf.tensor2d(aValues, [2, 2]);\n    const b = tf.tensor2d(bValues, [2, 1]);\n\n    const result = tf.atan2(a, b);\n\n    expect(result.shape).toEqual([2, 2]);\n    const expected = [\n      Math.atan2(1.0, 2.0), Math.atan2(2.0, 2.0), Math.atan2(-3.0, 3.0),\n      Math.atan2(-4.0, 3.0)\n    ];\n    expectArraysClose(await result.data(), expected);\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.atan2(a, b)).toThrowError();\n    expect(() => tf.atan2(b, a)).toThrowError();\n  });\n\n  it('upcasts when dtypes dont match', async () => {\n    const aValues = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0];\n    const bValues = [1, 2, 3, 4, 2, 5];\n\n    const a = tf.tensor2d(aValues, [2, 3], 'float32');\n    const c = tf.tensor2d(bValues, [2, 3], 'int32');\n\n    const r = tf.atan2(a, c);\n    const expected = [];\n\n    for (let i = 0; i < a.size; i++) {\n      expected[i] = Math.atan2(aValues[i], bValues[i]);\n    }\n    expect(r.shape).toEqual([2, 3]);\n    expect(r.dtype).toBe('float32');\n    expectArraysClose(await r.data(), expected);\n  });\n\n  it('atan2 of scalar and 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.atan2(c, a);\n\n    expectArraysEqual(await r.data(), [NaN, NaN, NaN]);\n  });\n\n  it('atan2 of scalar and array', async () => {\n    const aValues = [1, 2, 3, 4, 5, 6];\n\n    const a = tf.tensor2d(aValues, [2, 3]);\n    const c = tf.scalar(2);\n\n    const r = tf.atan2(a, c);\n    const expected = [];\n\n    for (let i = 0; i < a.size; i++) {\n      expected[i] = Math.atan2(aValues[i], 2);\n    }\n    expectArraysClose(await r.data(), expected);\n  });\n\n  it('atan2 vec4 NaNs', async () => {\n    const aValues = [1.0, 2.0, 3.0, 4.0];\n    const cValues = [3.0, NaN, 3.0, 4.0];\n    const a = tf.tensor2d(aValues, [4, 1]);\n    const c = tf.tensor2d(cValues, [4, 1]);\n\n    const r = tf.atan2(a, c);\n    const expected = [];\n\n    for (let i = 0; i < a.size; i++) {\n      expected[i] = Math.atan2(aValues[i], cValues[i]);\n    }\n    expectArraysClose(await r.data(), expected);\n  });\n\n  it('atan2 vec4 all NaNs', async () => {\n    const aValues = [NaN, 2.0, NaN, NaN];\n    const cValues = [3.0, NaN, 3.0, 4.0];\n    const a = tf.tensor2d(aValues, [4, 1]);\n    const c = tf.tensor2d(cValues, [4, 1]);\n\n    const r = tf.atan2(a, c);\n    const expected = [];\n\n    for (let i = 0; i < a.size; i++) {\n      expected[i] = Math.atan2(aValues[i], cValues[i]);\n    }\n    expectArraysClose(await r.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.atan2(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(), [4 * 2 / 29]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [4 * -5 / 29]);\n  });\n\n  it('gradient with clones', 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.atan2(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(), [4 * 2 / 29]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [4 * -5 / 29]);\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.atan2(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, 10 * 4 / 20, 20 * 5 / 34]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(\n        await db.data(), [-1 * 1 / 10, -10 * 2 / 20, -20 * 3 / 34]);\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.atan2(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(), [1 * 1 / 10, 10 * 3 / 10, 15 * 4 / 20, 20 * 5 / 34]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(\n        await db.data(),\n        [-1 * 3 / 10, -10 * 1 / 10, -15 * 2 / 20, -20 * 3 / 34]);\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.atan2(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 / 13 + 7 * 4 / 20 + 8 * 5 / 29]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(await db.data(), [-6 * 2 / 13, -7 * 2 / 20, -8 * 2 / 29]);\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.atan2(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(), [6 * 2 / 8, 7 * 2 / 13, 8 * 2 / 20, 9 * 2 / 29]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(\n        await db.data(),\n        [-6 * 2 / 8 + -7 * 3 / 13 + -8 * 4 / 20 + -9 * 5 / 29]);\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.atan2(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(), [6 * 2 / 13 + 7 * 3 / 18, 8 * 4 / 32 + 9 * 5 / 41]);\n\n    expect(db.shape).toEqual(b.shape);\n    expect(db.dtype).toEqual('float32');\n    expectArraysClose(\n        await db.data(), [-6 * 3 / 13, -7 * 3 / 18, -8 * 4 / 32, -9 * 4 / 41]);\n  });\n\n  it('throws when passed a as a non-tensor', () => {\n    expect(() => tf.atan2({} as tf.Tensor, tf.scalar(1)))\n        .toThrowError(/Argument 'a' passed to 'atan2' must be a Tensor/);\n  });\n  it('throws when passed b as a non-tensor', () => {\n    expect(() => tf.atan2(tf.scalar(1), {} as tf.Tensor))\n        .toThrowError(/Argument 'b' passed to 'atan2' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const a = [[1, 2, 3], [4, 5, 6]];\n    const c = 2;\n\n    const r = tf.atan2(a, c);\n    const expected = [];\n\n    for (let i = 0; i < 6; i++) {\n      expected[i] = Math.atan2(i + 1, 2);\n    }\n    expectArraysClose(await r.data(), expected);\n  });\n\n  it('throws for string tensor', () => {\n    expect(() => tf.atan2('q', 3))\n        .toThrowError(/Argument 'a' passed to 'atan2' must be numeric/);\n\n    expect(() => tf.atan2(3, 'q'))\n        .toThrowError(/Argument 'b' passed to 'atan2' must be numeric/);\n  });\n});\n\ndescribeWithFlags('div', ALL_ENVS, () => {\n  it('divNoNan divide 0', async () => {\n    // Broadcast div a with b.\n    const a = tf.tensor1d([2, 4, 6, 8]);\n    const b = tf.tensor1d([0, 0, 0, 0]);\n\n    const c = a.divNoNan(b);\n    expect(c.shape).toEqual(a.shape);\n    expectArraysClose(await c.data(), [0, 0, 0, 0]);\n  });\n\n  it('divNoNan divide 0 and non-0', async () => {\n    // Broadcast div a with b.\n    const a = tf.tensor1d([2, 4, 6, 8]);\n    const b = tf.tensor1d([2, 2, 0, 4]);\n\n    const c = a.divNoNan(b);\n    expect(c.shape).toEqual(a.shape);\n    expectArraysClose(await c.data(), [1, 2, 0, 2]);\n  });\n\n  it('divNoNan divide 0 broadcast', async () => {\n    // Broadcast div a with b.\n    const a = tf.tensor1d([2, 4, 6, 8]);\n    const b = tf.scalar(0);\n\n    const c = a.divNoNan(b);\n    expect(c.shape).toEqual(a.shape);\n    expectArraysClose(await c.data(), [0, 0, 0, 0]);\n  });\n});\n"]}
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