/**
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* @license
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* Copyright 2018 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 } from '../test_util';
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import { tensor1d, tensor2d } from './ops';
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describeWithFlags('dropout', ALL_ENVS, () => {
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it('x 1d array, rate 0', async () => {
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const x = tensor1d([1, 2, 2, 1]);
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const rate = 0;
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const output = tf.dropout(x, rate);
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expect(output.dtype).toEqual(x.dtype);
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expect(output.shape).toEqual(x.shape);
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expectArraysClose(await x.data(), await output.data());
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});
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it('x 1d array, rate 0.75', async () => {
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const x = tensor1d([1, 2, 2, 1]);
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const rate = 0.75;
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const output = tf.dropout(x, rate);
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expect(output.dtype).toEqual(x.dtype);
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expect(output.shape).toEqual(x.shape);
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const xValues = await x.data();
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const outputValues = await output.data();
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for (let i = 0; i < xValues.length; i++) {
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if (outputValues[i] !== 0) {
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expect(outputValues[i]).toBeCloseTo(1 / (1 - rate) * xValues[i]);
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}
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}
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});
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it('x 2d array, rate 0', async () => {
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const x = tensor2d([1, 5, 2, 4, 3, 6], [2, 3]);
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const rate = 0;
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const output = tf.dropout(x, rate);
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expect(output.dtype).toEqual(x.dtype);
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expect(output.shape).toEqual(x.shape);
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expectArraysClose(await x.data(), await output.data());
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});
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it('x 2d array, rate 0.75', async () => {
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const x = tensor2d([1, 5, 2, 4, 3, 6], [2, 3]);
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const rate = 0.75;
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const output = tf.dropout(x, rate);
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expect(output.dtype).toEqual(x.dtype);
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expect(output.shape).toEqual(x.shape);
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const xValues = await x.data();
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const outputValues = await output.data();
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for (let i = 0; i < xValues.length; i++) {
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if (outputValues[i] !== 0) {
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expect(outputValues[i]).toBeCloseTo(1 / (1 - rate) * xValues[i]);
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}
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}
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});
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it('x 1d array, rate 0.75, with noise shape length = 1', async () => {
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const x = tensor1d([1, 2, 2, 1]);
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const rate = 0.75;
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const noiseShape = [1];
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const output = tf.dropout(x, rate, noiseShape);
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expect(output.dtype).toEqual(x.dtype);
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expect(output.shape).toEqual(x.shape);
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const xValues = await x.data();
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const outputValues = await output.data();
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const maskedOutput = outputValues[0];
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for (let i = 0; i < xValues.length; i++) {
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if (maskedOutput === 0) {
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expect(outputValues[i]).toBe(maskedOutput);
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}
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if (outputValues[i] !== 0) {
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expect(outputValues[i]).toBeCloseTo(1 / (1 - rate) * xValues[i]);
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}
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}
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});
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it('x 2d array, rate 0.75, with noise shape length = 2', async () => {
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const x = tensor2d([1, 5, 2, 4, 3, 6], [2, 3]);
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const rate = 0.75;
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const noiseShape = [2, 1];
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const output = tf.dropout(x, rate, noiseShape);
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expect(output.dtype).toEqual(x.dtype);
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expect(output.shape).toEqual(x.shape);
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const xValues = await x.data();
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const outputValues = await output.data();
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for (let i = 0; i < x.shape[0]; i++) {
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const maskedOutput = outputValues[i * x.shape[1]];
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if (maskedOutput !== 0) {
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expect(maskedOutput)
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.toBeCloseTo(1 / (1 - rate) * xValues[i * x.shape[1]]);
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}
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else {
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for (let j = 0; j < x.shape[1]; j++) {
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expect(outputValues[i * x.shape[1] + j]).toBe(maskedOutput);
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}
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}
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}
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});
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it('broadcast noise shape', async () => {
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const x = tensor2d([1, 5, 2, 4, 3, 6], [2, 3]);
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const rate = 0.75;
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// broadcast noise shape, same output as using noiseShape [2, 1]
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const noiseShape = [1];
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const output = tf.dropout(x, rate, noiseShape);
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expect(output.dtype).toEqual(x.dtype);
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expect(output.shape).toEqual(x.shape);
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const xValues = await x.data();
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const outputValues = await output.data();
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for (let i = 0; i < x.shape[0]; i++) {
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const maskedOutput = outputValues[i * x.shape[1]];
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if (maskedOutput !== 0) {
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expect(maskedOutput)
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.toBeCloseTo(1 / (1 - rate) * xValues[i * x.shape[1]]);
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}
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else {
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for (let j = 0; j < x.shape[1]; j++) {
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expect(outputValues[i * x.shape[1] + j]).toBe(maskedOutput);
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}
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}
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}
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});
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it('x 1d array, rate 0.75, with seed', async () => {
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const x = tensor1d([1, 2, 2, 1]);
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const rate = 0.75;
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const seed = 23;
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const output = tf.dropout(x, rate, null, seed);
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expect(output.dtype).toEqual(x.dtype);
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expect(output.shape).toEqual(x.shape);
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const xValues = await x.data();
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const outputValues = await output.data();
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for (let i = 0; i < xValues.length; i++) {
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if (outputValues[i] !== 0) {
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expect(outputValues[i]).toBeCloseTo(1 / (1 - rate) * xValues[i]);
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}
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}
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});
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it('x TensorLike object', async () => {
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const x = [1.0, 2.0, 2.0, 1.0];
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const rate = 0;
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const output = tf.dropout(x, rate);
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expect(output.dtype).toEqual('float32');
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expect(output.shape).toEqual([4]);
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expectArraysClose(await output.data(), x);
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});
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it('throws when x.dtype != float32', async () => {
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const x = tensor1d([1, 2, 2, 1], 'int32');
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const rate = 0.75;
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expect(() => tf.dropout(x, rate)).toThrowError();
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});
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it('throws when rate is not in the range [0, 1)', async () => {
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const x = tensor1d([1, 2, 2, 1]);
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const rate = 1.5;
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expect(() => tf.dropout(x, rate)).toThrowError();
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});
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});
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* @license\n * Copyright 2018 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} from '../test_util';\n\nimport {tensor1d, tensor2d} from './ops';\n\ndescribeWithFlags('dropout', ALL_ENVS, () => {\n  it('x 1d array, rate 0', async () => {\n    const x = tensor1d([1, 2, 2, 1]);\n    const rate = 0;\n    const output = tf.dropout(x, rate);\n    expect(output.dtype).toEqual(x.dtype);\n    expect(output.shape).toEqual(x.shape);\n    expectArraysClose(await x.data(), await output.data());\n  });\n\n  it('x 1d array, rate 0.75', async () => {\n    const x = tensor1d([1, 2, 2, 1]);\n    const rate = 0.75;\n    const output = tf.dropout(x, rate);\n    expect(output.dtype).toEqual(x.dtype);\n    expect(output.shape).toEqual(x.shape);\n    const xValues = await x.data();\n    const outputValues = await output.data();\n    for (let i = 0; i < xValues.length; i++) {\n      if (outputValues[i] !== 0) {\n        expect(outputValues[i]).toBeCloseTo(1 / (1 - rate) * xValues[i]);\n      }\n    }\n  });\n\n  it('x 2d array, rate 0', async () => {\n    const x = tensor2d([1, 5, 2, 4, 3, 6], [2, 3]);\n    const rate = 0;\n    const output = tf.dropout(x, rate);\n    expect(output.dtype).toEqual(x.dtype);\n    expect(output.shape).toEqual(x.shape);\n    expectArraysClose(await x.data(), await output.data());\n  });\n\n  it('x 2d array, rate 0.75', async () => {\n    const x = tensor2d([1, 5, 2, 4, 3, 6], [2, 3]);\n    const rate = 0.75;\n    const output = tf.dropout(x, rate);\n    expect(output.dtype).toEqual(x.dtype);\n    expect(output.shape).toEqual(x.shape);\n    const xValues = await x.data();\n    const outputValues = await output.data();\n    for (let i = 0; i < xValues.length; i++) {\n      if (outputValues[i] !== 0) {\n        expect(outputValues[i]).toBeCloseTo(1 / (1 - rate) * xValues[i]);\n      }\n    }\n  });\n\n  it('x 1d array, rate 0.75, with noise shape length = 1', async () => {\n    const x = tensor1d([1, 2, 2, 1]);\n    const rate = 0.75;\n    const noiseShape = [1];\n    const output = tf.dropout(x, rate, noiseShape);\n    expect(output.dtype).toEqual(x.dtype);\n    expect(output.shape).toEqual(x.shape);\n    const xValues = await x.data();\n    const outputValues = await output.data();\n    const maskedOutput = outputValues[0];\n    for (let i = 0; i < xValues.length; i++) {\n      if (maskedOutput === 0) {\n        expect(outputValues[i]).toBe(maskedOutput);\n      }\n      if (outputValues[i] !== 0) {\n        expect(outputValues[i]).toBeCloseTo(1 / (1 - rate) * xValues[i]);\n      }\n    }\n  });\n\n  it('x 2d array, rate 0.75, with noise shape length = 2', async () => {\n    const x = tensor2d([1, 5, 2, 4, 3, 6], [2, 3]);\n    const rate = 0.75;\n    const noiseShape = [2, 1];\n    const output = tf.dropout(x, rate, noiseShape);\n    expect(output.dtype).toEqual(x.dtype);\n    expect(output.shape).toEqual(x.shape);\n    const xValues = await x.data();\n    const outputValues = await output.data();\n    for (let i = 0; i < x.shape[0]; i++) {\n      const maskedOutput = outputValues[i * x.shape[1]];\n      if (maskedOutput !== 0) {\n        expect(maskedOutput)\n            .toBeCloseTo(1 / (1 - rate) * xValues[i * x.shape[1]]);\n      } else {\n        for (let j = 0; j < x.shape[1]; j++) {\n          expect(outputValues[i * x.shape[1] + j]).toBe(maskedOutput);\n        }\n      }\n    }\n  });\n\n  it('broadcast noise shape', async () => {\n    const x = tensor2d([1, 5, 2, 4, 3, 6], [2, 3]);\n    const rate = 0.75;\n    // broadcast noise shape, same output as using noiseShape [2, 1]\n    const noiseShape = [1];\n    const output = tf.dropout(x, rate, noiseShape);\n    expect(output.dtype).toEqual(x.dtype);\n    expect(output.shape).toEqual(x.shape);\n    const xValues = await x.data();\n    const outputValues = await output.data();\n    for (let i = 0; i < x.shape[0]; i++) {\n      const maskedOutput = outputValues[i * x.shape[1]];\n      if (maskedOutput !== 0) {\n        expect(maskedOutput)\n            .toBeCloseTo(1 / (1 - rate) * xValues[i * x.shape[1]]);\n      } else {\n        for (let j = 0; j < x.shape[1]; j++) {\n          expect(outputValues[i * x.shape[1] + j]).toBe(maskedOutput);\n        }\n      }\n    }\n  });\n\n  it('x 1d array, rate 0.75, with seed', async () => {\n    const x = tensor1d([1, 2, 2, 1]);\n    const rate = 0.75;\n    const seed = 23;\n    const output = tf.dropout(x, rate, null, seed);\n    expect(output.dtype).toEqual(x.dtype);\n    expect(output.shape).toEqual(x.shape);\n    const xValues = await x.data();\n    const outputValues = await output.data();\n    for (let i = 0; i < xValues.length; i++) {\n      if (outputValues[i] !== 0) {\n        expect(outputValues[i]).toBeCloseTo(1 / (1 - rate) * xValues[i]);\n      }\n    }\n  });\n\n  it('x TensorLike object', async () => {\n    const x = [1.0, 2.0, 2.0, 1.0];\n    const rate = 0;\n    const output = tf.dropout(x, rate);\n    expect(output.dtype).toEqual('float32');\n    expect(output.shape).toEqual([4]);\n    expectArraysClose(await output.data(), x);\n  });\n\n  it('throws when x.dtype != float32', async () => {\n    const x = tensor1d([1, 2, 2, 1], 'int32');\n    const rate = 0.75;\n    expect(() => tf.dropout(x, rate)).toThrowError();\n  });\n\n  it('throws when rate is not in the range [0, 1)', async () => {\n    const x = tensor1d([1, 2, 2, 1]);\n    const rate = 1.5;\n    expect(() => tf.dropout(x, rate)).toThrowError();\n  });\n});\n"]}
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