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| /**
| * @license
| * Copyright 2017 Google LLC. All Rights Reserved.
| * Licensed under the Apache License, Version 2.0 (the "License");
| * you may not use this file except in compliance with the License.
| * You may obtain a copy of the License at
| *
| * http://www.apache.org/licenses/LICENSE-2.0
| *
| * Unless required by applicable law or agreed to in writing, software
| * distributed under the License is distributed on an "AS IS" BASIS,
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
| * See the License for the specific language governing permissions and
| * limitations under the License.
| * =============================================================================
| */
| import * as tf from '../index';
| import { ALL_ENVS, describeWithFlags } from '../jasmine_util';
| import { expectArraysClose } from '../test_util';
| describeWithFlags('pad 1d', ALL_ENVS, () => {
| it('Should pad 1D arrays', async () => {
| const a = tf.tensor1d([1, 2, 3, 4, 5, 6], 'int32');
| const b = tf.pad1d(a, [2, 3]);
| expectArraysClose(await b.data(), [0, 0, 1, 2, 3, 4, 5, 6, 0, 0, 0]);
| });
| it('Should not pad 1D arrays with 0s', async () => {
| const a = tf.tensor1d([1, 2, 3, 4], 'int32');
| const b = tf.pad1d(a, [0, 0]);
| expectArraysClose(await b.data(), [1, 2, 3, 4]);
| });
| it('Should handle padding with custom value', async () => {
| let a = tf.tensor1d([1, 2, 3, 4], 'int32');
| let b = tf.pad1d(a, [2, 3], 9);
| expectArraysClose(await b.data(), [9, 9, 1, 2, 3, 4, 9, 9, 9]);
| a = tf.tensor1d([1, 2, 3, 4]);
| b = tf.pad1d(a, [2, 1], 1.1);
| expectArraysClose(await b.data(), [1.1, 1.1, 1, 2, 3, 4, 1.1]);
| a = tf.tensor1d([1, 2, 3, 4]);
| b = tf.pad1d(a, [2, 1], 1);
| expectArraysClose(await b.data(), [1, 1, 1, 2, 3, 4, 1]);
| a = tf.tensor1d([1, 2, 3, 4]);
| b = tf.pad1d(a, [2, 1], Number.NEGATIVE_INFINITY);
| expectArraysClose(await b.data(), [
| Number.NEGATIVE_INFINITY, Number.NEGATIVE_INFINITY, 1, 2, 3, 4,
| Number.NEGATIVE_INFINITY
| ]);
| a = tf.tensor1d([1, 2, 3, 4]);
| b = tf.pad1d(a, [2, 1], Number.POSITIVE_INFINITY);
| expectArraysClose(await b.data(), [
| Number.POSITIVE_INFINITY, Number.POSITIVE_INFINITY, 1, 2, 3, 4,
| Number.POSITIVE_INFINITY
| ]);
| });
| it('Should handle NaNs with 1D arrays', async () => {
| const a = tf.tensor1d([1, NaN, 2, NaN]);
| const b = tf.pad1d(a, [1, 1]);
| expectArraysClose(await b.data(), [0, 1, NaN, 2, NaN, 0]);
| });
| it('Should handle invalid paddings', () => {
| const a = tf.tensor1d([1, 2, 3, 4], 'int32');
| const f = () => {
| // tslint:disable-next-line:no-any
| tf.pad1d(a, [2, 2, 2]);
| };
| expect(f).toThrowError();
| });
| it('Should handle empty tensor with meaningful dims', async () => {
| const a = tf.tensor([], [0, 1]);
| const b = tf.pad(a, [[0, 4], [0, 0]], 2);
| expectArraysClose(await b.data(), [2, 2, 2, 2]);
| expectArraysClose(b.shape, [4, 1]);
| });
| it('grad', async () => {
| const a = tf.tensor1d([1, 2, 3]);
| const dy = tf.tensor1d([10, 20, 30, 40, 50, 60]);
| const da = tf.grad((a) => tf.pad1d(a, [2, 1]))(a, dy);
| expect(da.shape).toEqual([3]);
| expectArraysClose(await da.data(), [30, 40, 50]);
| });
| it('gradient with clones', async () => {
| const a = tf.tensor1d([1, 2, 3]);
| const dy = tf.tensor1d([10, 20, 30, 40, 50, 60]);
| const da = tf.grad((a) => tf.pad1d(a.clone(), [2, 1]).clone())(a, dy);
| expect(da.shape).toEqual([3]);
| expectArraysClose(await da.data(), [30, 40, 50]);
| });
| it('accepts a tensor-like object', async () => {
| const a = [1, 2, 3, 4, 5, 6];
| const b = tf.pad1d(a, [2, 3]);
| expectArraysClose(await b.data(), [0, 0, 1, 2, 3, 4, 5, 6, 0, 0, 0]);
| });
| });
| describeWithFlags('pad 2d', ALL_ENVS, () => {
| it('Should pad 2D arrays', async () => {
| let a = tf.tensor2d([[1], [2]], [2, 1], 'int32');
| let b = tf.pad2d(a, [[1, 1], [1, 1]]);
| // 0, 0, 0
| // 0, 1, 0
| // 0, 2, 0
| // 0, 0, 0
| expectArraysClose(await b.data(), [0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0]);
| a = tf.tensor2d([[1, 2, 3], [4, 5, 6]], [2, 3], 'int32');
| b = tf.pad2d(a, [[2, 2], [1, 1]]);
| // 0, 0, 0, 0, 0
| // 0, 0, 0, 0, 0
| // 0, 1, 2, 3, 0
| // 0, 4, 5, 6, 0
| // 0, 0, 0, 0, 0
| // 0, 0, 0, 0, 0
| expectArraysClose(await b.data(), [
| 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 3, 0,
| 0, 4, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
| ]);
| });
| it('Should not pad 2D arrays with 0s', async () => {
| const a = tf.tensor2d([[1, 2, 3], [4, 5, 6]], [2, 3], 'int32');
| const b = tf.pad2d(a, [[0, 0], [0, 0]]);
| expectArraysClose(await b.data(), [1, 2, 3, 4, 5, 6]);
| });
| it('Should handle padding with custom value', async () => {
| let a = tf.tensor2d([[1, 2, 3], [4, 5, 6]], [2, 3], 'int32');
| let b = tf.pad2d(a, [[1, 1], [1, 1]], 10);
| expectArraysClose(await b.data(), [
| 10, 10, 10, 10, 10, 10, 1, 2, 3, 10,
| 10, 4, 5, 6, 10, 10, 10, 10, 10, 10
| ]);
| a = tf.tensor2d([[1], [1]], [2, 1]);
| b = tf.pad2d(a, [[1, 1], [1, 1]], -2.1);
| expectArraysClose(await b.data(), [-2.1, -2.1, -2.1, -2.1, 1, -2.1, -2.1, 1, -2.1, -2.1, -2.1, -2.1]);
| a = tf.tensor2d([[1], [1]], [2, 1]);
| b = tf.pad2d(a, [[1, 1], [1, 1]], -2);
| expectArraysClose(await b.data(), [-2, -2, -2, -2, 1, -2, -2, 1, -2, -2, -2, -2]);
| });
| it('Should handle NaNs with 2D arrays', async () => {
| const a = tf.tensor2d([[1, NaN], [1, NaN]], [2, 2]);
| const b = tf.pad2d(a, [[1, 1], [1, 1]]);
| // 0, 0, 0, 0
| // 0, 1, NaN, 0
| // 0, 1, NaN, 0
| // 0, 0, 0, 0
| expectArraysClose(await b.data(), [0, 0, 0, 0, 0, 1, NaN, 0, 0, 1, NaN, 0, 0, 0, 0, 0]);
| });
| it('Should handle invalid paddings', () => {
| const a = tf.tensor2d([[1], [2]], [2, 1], 'int32');
| const f = () => {
| // tslint:disable-next-line:no-any
| tf.pad2d(a, [[2, 2, 2], [1, 1, 1]]);
| };
| expect(f).toThrowError();
| });
| it('grad', async () => {
| const a = tf.tensor2d([[1, 2], [3, 4]]);
| const dy = tf.tensor2d([[0, 0, 0], [10, 20, 0], [30, 40, 0]], [3, 3]);
| const da = tf.grad((a) => tf.pad2d(a, [[1, 0], [0, 1]]))(a, dy);
| expect(da.shape).toEqual([2, 2]);
| expectArraysClose(await da.data(), [10, 20, 30, 40]);
| });
| it('accepts a tensor-like object', async () => {
| const a = [[1, 2, 3], [4, 5, 6]]; // 2x3
| const b = tf.pad2d(a, [[0, 0], [0, 0]]);
| expectArraysClose(await b.data(), [1, 2, 3, 4, 5, 6]);
| });
| });
| describeWithFlags('pad 3d', ALL_ENVS, () => {
| it('works with 3d tensor, float32', async () => {
| const a = tf.tensor3d([[[1]], [[2]]], [2, 1, 1], 'float32');
| const b = tf.pad3d(a, [[1, 1], [1, 1], [1, 1]]);
| // 0, 0, 0
| // 0, 0, 0
| // 0, 0, 0
| // 0, 0, 0
| // 0, 1, 0
| // 0, 0, 0
| // 0, 0, 0
| // 0, 2, 0
| // 0, 0, 0
| // 0, 0, 0
| // 0, 0, 0
| // 0, 0, 0
| expect(b.shape).toEqual([4, 3, 3]);
| expectArraysClose(await b.data(), [
| 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,
| 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
| ]);
| });
| });
| describeWithFlags('pad 4d', ALL_ENVS, () => {
| it('Should pad 4D arrays', async () => {
| const a = tf.tensor4d([[[[9]]]], [1, 1, 1, 1], 'int32');
| const b = tf.pad4d(a, [[0, 0], [1, 1], [1, 1], [0, 0]]);
| const expected = tf.tensor4d([[[[0], [0], [0]], [[0], [9], [0]], [[0], [0], [0]]]], [1, 3, 3, 1], 'int32');
| expectArraysClose(await b.data(), await expected.data());
| expect(b.dtype).toBe('int32');
| expect(b.shape).toEqual([1, 3, 3, 1]);
| });
| it('does not leak memory', () => {
| const a = tf.tensor4d([[[[9]]]], [1, 1, 1, 1], 'int32');
| // The first call to pad may create and keeps internal singleton tensors.
| // Subsequent calls should always create exactly one new tensor.
| tf.pad4d(a, [[0, 0], [1, 1], [1, 1], [0, 0]]);
| // Count before real call.
| const numTensors = tf.memory().numTensors;
| tf.pad4d(a, [[0, 0], [1, 1], [1, 1], [0, 0]]);
| expect(tf.memory().numTensors).toEqual(numTensors + 1);
| });
| it('accepts a tensor-like object', async () => {
| const a = [[[[9]]]]; // 1x1x1x1
| const b = tf.pad4d(a, [[0, 0], [1, 1], [1, 1], [0, 0]]);
| const expected = tf.tensor4d([[[[0], [0], [0]], [[0], [9], [0]], [[0], [0], [0]]]], [1, 3, 3, 1], 'float32');
| expectArraysClose(await b.data(), await expected.data());
| expect(b.dtype).toBe('float32');
| expect(b.shape).toEqual([1, 3, 3, 1]);
| });
| });
| describeWithFlags('pad', ALL_ENVS, () => {
| it('Pad tensor2d', async () => {
| let a = tf.tensor2d([[1], [2]], [2, 1], 'int32');
| let b = tf.pad(a, [[1, 1], [1, 1]]);
| // 0, 0, 0
| // 0, 1, 0
| // 0, 2, 0
| // 0, 0, 0
| expectArraysClose(await b.data(), [0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0]);
| a = tf.tensor2d([[1, 2, 3], [4, 5, 6]], [2, 3], 'int32');
| b = tf.pad(a, [[2, 2], [1, 1]]);
| // 0, 0, 0, 0, 0
| // 0, 0, 0, 0, 0
| // 0, 1, 2, 3, 0
| // 0, 4, 5, 6, 0
| // 0, 0, 0, 0, 0
| // 0, 0, 0, 0, 0
| expectArraysClose(await b.data(), [
| 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 3, 0,
| 0, 4, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
| ]);
| });
| it('throws when passed a non-tensor', () => {
| expect(() => tf.pad({}, [[0, 0]]))
| .toThrowError(/Argument 'x' passed to 'pad' must be a Tensor/);
| });
| it('accepts a tensor-like object', async () => {
| const x = [[1], [2]];
| const res = tf.pad(x, [[1, 1], [1, 1]]);
| // 0, 0, 0
| // 0, 1, 0
| // 0, 2, 0
| // 0, 0, 0
| expectArraysClose(await res.data(), [0, 0, 0, 0, 1, 0, 0, 2, 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} from '../test_util';\n\ndescribeWithFlags('pad 1d', ALL_ENVS, () => {\n  it('Should pad 1D arrays', async () => {\n    const a = tf.tensor1d([1, 2, 3, 4, 5, 6], 'int32');\n    const b = tf.pad1d(a, [2, 3]);\n    expectArraysClose(await b.data(), [0, 0, 1, 2, 3, 4, 5, 6, 0, 0, 0]);\n  });\n\n  it('Should not pad 1D arrays with 0s', async () => {\n    const a = tf.tensor1d([1, 2, 3, 4], 'int32');\n    const b = tf.pad1d(a, [0, 0]);\n    expectArraysClose(await b.data(), [1, 2, 3, 4]);\n  });\n\n  it('Should handle padding with custom value', async () => {\n    let a = tf.tensor1d([1, 2, 3, 4], 'int32');\n    let b = tf.pad1d(a, [2, 3], 9);\n    expectArraysClose(await b.data(), [9, 9, 1, 2, 3, 4, 9, 9, 9]);\n\n    a = tf.tensor1d([1, 2, 3, 4]);\n    b = tf.pad1d(a, [2, 1], 1.1);\n    expectArraysClose(await b.data(), [1.1, 1.1, 1, 2, 3, 4, 1.1]);\n\n    a = tf.tensor1d([1, 2, 3, 4]);\n    b = tf.pad1d(a, [2, 1], 1);\n    expectArraysClose(await b.data(), [1, 1, 1, 2, 3, 4, 1]);\n\n    a = tf.tensor1d([1, 2, 3, 4]);\n    b = tf.pad1d(a, [2, 1], Number.NEGATIVE_INFINITY);\n    expectArraysClose(await b.data(), [\n      Number.NEGATIVE_INFINITY, Number.NEGATIVE_INFINITY, 1, 2, 3, 4,\n      Number.NEGATIVE_INFINITY\n    ]);\n\n    a = tf.tensor1d([1, 2, 3, 4]);\n    b = tf.pad1d(a, [2, 1], Number.POSITIVE_INFINITY);\n    expectArraysClose(await b.data(), [\n      Number.POSITIVE_INFINITY, Number.POSITIVE_INFINITY, 1, 2, 3, 4,\n      Number.POSITIVE_INFINITY\n    ]);\n  });\n\n  it('Should handle NaNs with 1D arrays', async () => {\n    const a = tf.tensor1d([1, NaN, 2, NaN]);\n    const b = tf.pad1d(a, [1, 1]);\n    expectArraysClose(await b.data(), [0, 1, NaN, 2, NaN, 0]);\n  });\n\n  it('Should handle invalid paddings', () => {\n    const a = tf.tensor1d([1, 2, 3, 4], 'int32');\n    const f = () => {\n      // tslint:disable-next-line:no-any\n      tf.pad1d(a, [2, 2, 2] as any);\n    };\n    expect(f).toThrowError();\n  });\n\n  it('Should handle empty tensor with meaningful dims', async () => {\n    const a = tf.tensor([], [0, 1]);\n    const b = tf.pad(a, [[0, 4], [0, 0]], 2);\n\n    expectArraysClose(await b.data(), [2, 2, 2, 2]);\n    expectArraysClose(b.shape, [4, 1]);\n  });\n\n  it('grad', async () => {\n    const a = tf.tensor1d([1, 2, 3]);\n    const dy = tf.tensor1d([10, 20, 30, 40, 50, 60]);\n    const da = tf.grad((a: tf.Tensor1D) => tf.pad1d(a, [2, 1]))(a, dy);\n    expect(da.shape).toEqual([3]);\n    expectArraysClose(await da.data(), [30, 40, 50]);\n  });\n\n  it('gradient with clones', async () => {\n    const a = tf.tensor1d([1, 2, 3]);\n    const dy = tf.tensor1d([10, 20, 30, 40, 50, 60]);\n    const da =\n        tf.grad((a: tf.Tensor1D) => tf.pad1d(a.clone(), [2, 1]).clone())(a, dy);\n    expect(da.shape).toEqual([3]);\n    expectArraysClose(await da.data(), [30, 40, 50]);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const a = [1, 2, 3, 4, 5, 6];\n    const b = tf.pad1d(a, [2, 3]);\n    expectArraysClose(await b.data(), [0, 0, 1, 2, 3, 4, 5, 6, 0, 0, 0]);\n  });\n});\n\ndescribeWithFlags('pad 2d', ALL_ENVS, () => {\n  it('Should pad 2D arrays', async () => {\n    let a = tf.tensor2d([[1], [2]], [2, 1], 'int32');\n    let b = tf.pad2d(a, [[1, 1], [1, 1]]);\n    // 0, 0, 0\n    // 0, 1, 0\n    // 0, 2, 0\n    // 0, 0, 0\n    expectArraysClose(await b.data(), [0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0]);\n\n    a = tf.tensor2d([[1, 2, 3], [4, 5, 6]], [2, 3], 'int32');\n    b = tf.pad2d(a, [[2, 2], [1, 1]]);\n    // 0, 0, 0, 0, 0\n    // 0, 0, 0, 0, 0\n    // 0, 1, 2, 3, 0\n    // 0, 4, 5, 6, 0\n    // 0, 0, 0, 0, 0\n    // 0, 0, 0, 0, 0\n    expectArraysClose(await b.data(), [\n      0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 3, 0,\n      0, 4, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0\n    ]);\n  });\n\n  it('Should not pad 2D arrays with 0s', async () => {\n    const a = tf.tensor2d([[1, 2, 3], [4, 5, 6]], [2, 3], 'int32');\n    const b = tf.pad2d(a, [[0, 0], [0, 0]]);\n    expectArraysClose(await b.data(), [1, 2, 3, 4, 5, 6]);\n  });\n\n  it('Should handle padding with custom value', async () => {\n    let a = tf.tensor2d([[1, 2, 3], [4, 5, 6]], [2, 3], 'int32');\n    let b = tf.pad2d(a, [[1, 1], [1, 1]], 10);\n    expectArraysClose(await b.data(), [\n      10, 10, 10, 10, 10, 10, 1,  2,  3,  10,\n      10, 4,  5,  6,  10, 10, 10, 10, 10, 10\n    ]);\n\n    a = tf.tensor2d([[1], [1]], [2, 1]);\n    b = tf.pad2d(a, [[1, 1], [1, 1]], -2.1);\n    expectArraysClose(\n        await b.data(),\n        [-2.1, -2.1, -2.1, -2.1, 1, -2.1, -2.1, 1, -2.1, -2.1, -2.1, -2.1]);\n\n    a = tf.tensor2d([[1], [1]], [2, 1]);\n    b = tf.pad2d(a, [[1, 1], [1, 1]], -2);\n    expectArraysClose(\n        await b.data(), [-2, -2, -2, -2, 1, -2, -2, 1, -2, -2, -2, -2]);\n  });\n\n  it('Should handle NaNs with 2D arrays', async () => {\n    const a = tf.tensor2d([[1, NaN], [1, NaN]], [2, 2]);\n    const b = tf.pad2d(a, [[1, 1], [1, 1]]);\n    // 0, 0, 0,   0\n    // 0, 1, NaN, 0\n    // 0, 1, NaN, 0\n    // 0, 0, 0,   0\n    expectArraysClose(\n        await b.data(), [0, 0, 0, 0, 0, 1, NaN, 0, 0, 1, NaN, 0, 0, 0, 0, 0]);\n  });\n\n  it('Should handle invalid paddings', () => {\n    const a = tf.tensor2d([[1], [2]], [2, 1], 'int32');\n    const f = () => {\n      // tslint:disable-next-line:no-any\n      tf.pad2d(a, [[2, 2, 2], [1, 1, 1]] as any);\n    };\n    expect(f).toThrowError();\n  });\n\n  it('grad', async () => {\n    const a = tf.tensor2d([[1, 2], [3, 4]]);\n    const dy = tf.tensor2d([[0, 0, 0], [10, 20, 0], [30, 40, 0]], [3, 3]);\n    const da =\n        tf.grad((a: tf.Tensor2D) => tf.pad2d(a, [[1, 0], [0, 1]]))(a, dy);\n    expect(da.shape).toEqual([2, 2]);\n    expectArraysClose(await da.data(), [10, 20, 30, 40]);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const a = [[1, 2, 3], [4, 5, 6]];  // 2x3\n    const b = tf.pad2d(a, [[0, 0], [0, 0]]);\n    expectArraysClose(await b.data(), [1, 2, 3, 4, 5, 6]);\n  });\n});\n\ndescribeWithFlags('pad 3d', ALL_ENVS, () => {\n  it('works with 3d tensor, float32', async () => {\n    const a = tf.tensor3d([[[1]], [[2]]], [2, 1, 1], 'float32');\n    const b = tf.pad3d(a, [[1, 1], [1, 1], [1, 1]]);\n    // 0, 0, 0\n    // 0, 0, 0\n    // 0, 0, 0\n\n    // 0, 0, 0\n    // 0, 1, 0\n    // 0, 0, 0\n\n    // 0, 0, 0\n    // 0, 2, 0\n    // 0, 0, 0\n\n    // 0, 0, 0\n    // 0, 0, 0\n    // 0, 0, 0\n    expect(b.shape).toEqual([4, 3, 3]);\n    expectArraysClose(await b.data(), [\n      0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,\n      0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0\n    ]);\n  });\n});\n\ndescribeWithFlags('pad 4d', ALL_ENVS, () => {\n  it('Should pad 4D arrays', async () => {\n    const a = tf.tensor4d([[[[9]]]], [1, 1, 1, 1], 'int32');\n    const b = tf.pad4d(a, [[0, 0], [1, 1], [1, 1], [0, 0]]);\n    const expected = tf.tensor4d(\n        [[[[0], [0], [0]], [[0], [9], [0]], [[0], [0], [0]]]], [1, 3, 3, 1],\n        'int32');\n    expectArraysClose(await b.data(), await expected.data());\n    expect(b.dtype).toBe('int32');\n    expect(b.shape).toEqual([1, 3, 3, 1]);\n  });\n\n  it('does not leak memory', () => {\n    const a = tf.tensor4d([[[[9]]]], [1, 1, 1, 1], 'int32');\n    // The first call to pad may create and keeps internal singleton tensors.\n    // Subsequent calls should always create exactly one new tensor.\n    tf.pad4d(a, [[0, 0], [1, 1], [1, 1], [0, 0]]);\n    // Count before real call.\n    const numTensors = tf.memory().numTensors;\n    tf.pad4d(a, [[0, 0], [1, 1], [1, 1], [0, 0]]);\n    expect(tf.memory().numTensors).toEqual(numTensors + 1);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const a = [[[[9]]]];  // 1x1x1x1\n    const b = tf.pad4d(a, [[0, 0], [1, 1], [1, 1], [0, 0]]);\n    const expected = tf.tensor4d(\n        [[[[0], [0], [0]], [[0], [9], [0]], [[0], [0], [0]]]], [1, 3, 3, 1],\n        'float32');\n    expectArraysClose(await b.data(), await expected.data());\n    expect(b.dtype).toBe('float32');\n    expect(b.shape).toEqual([1, 3, 3, 1]);\n  });\n});\n\ndescribeWithFlags('pad', ALL_ENVS, () => {\n  it('Pad tensor2d', async () => {\n    let a = tf.tensor2d([[1], [2]], [2, 1], 'int32');\n    let b = tf.pad(a, [[1, 1], [1, 1]]);\n    // 0, 0, 0\n    // 0, 1, 0\n    // 0, 2, 0\n    // 0, 0, 0\n    expectArraysClose(await b.data(), [0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0]);\n\n    a = tf.tensor2d([[1, 2, 3], [4, 5, 6]], [2, 3], 'int32');\n    b = tf.pad(a, [[2, 2], [1, 1]]);\n    // 0, 0, 0, 0, 0\n    // 0, 0, 0, 0, 0\n    // 0, 1, 2, 3, 0\n    // 0, 4, 5, 6, 0\n    // 0, 0, 0, 0, 0\n    // 0, 0, 0, 0, 0\n    expectArraysClose(await b.data(), [\n      0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 3, 0,\n      0, 4, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0\n    ]);\n  });\n\n  it('throws when passed a non-tensor', () => {\n    expect(() => tf.pad({} as tf.Tensor, [[0, 0]]))\n        .toThrowError(/Argument 'x' passed to 'pad' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const x = [[1], [2]];\n    const res = tf.pad(x, [[1, 1], [1, 1]]);\n    // 0, 0, 0\n    // 0, 1, 0\n    // 0, 2, 0\n    // 0, 0, 0\n    expectArraysClose(await res.data(), [0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0]);\n  });\n});\n"]}
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