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| /**
| * @license
| * Copyright 2022 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('cumprod', ALL_ENVS, () => {
| it('1D standard', async () => {
| const res = tf.tensor1d([1, 2, 3, 4]).cumprod();
| expect(res.shape).toEqual([4]);
| expectArraysClose(await res.data(), [1, 2, 6, 24]);
| });
| it('1D reverse', async () => {
| const reverse = true;
| const exclusive = false;
| const res = tf.tensor1d([1, 2, 3, 4]).cumprod(0, exclusive, reverse);
| expect(res.shape).toEqual([4]);
| expectArraysClose(await res.data(), [24, 24, 12, 4]);
| });
| it('1D exclusive', async () => {
| const exclusive = true;
| const res = tf.tensor1d([1, 2, 3, 4]).cumprod(0, exclusive);
| expect(res.shape).toEqual([4]);
| expectArraysClose(await res.data(), [1, 1, 2, 6]);
| });
| it('1D exclusive reverse', async () => {
| const reverse = true;
| const exclusive = true;
| const res = tf.tensor1d([1, 2, 3, 4]).cumprod(0, exclusive, reverse);
| expect(res.shape).toEqual([4]);
| expectArraysClose(await res.data(), [24, 12, 4, 1]);
| });
| // TODO: once gradients are implemented, create tests something like this.
| // it('gradient: 1D', async () => {
| // const a = tf.tensor1d([1, 2, 3]);
| // const dy = tf.tensor1d([4, 5, 6]);
| // const da = tf.grad((x) => tf.cumprod(x))(a, dy);
| // expect(da.shape).toEqual([3]);
| // expectArraysClose(await da.data(), [15, 11, 6]);
| // });
| // it('gradient with clones', async () => {
| // const a = tf.tensor1d([1, 2, 3]);
| // const dy = tf.tensor1d([4, 5, 6]);
| // const da = tf.grad((x) => tf.cumprod(x.clone()).clone())(a, dy);
| // expect(da.shape).toEqual([3]);
| // expectArraysClose(await da.data(), [15, 11, 6]);
| // });
| it('2D standard', async () => {
| const res = tf
| .tensor2d([
| [1, 2],
| [3, 4],
| ])
| .cumprod(1);
| expect(res.shape).toEqual([2, 2]);
| expectArraysClose(await res.array(), [[1, 2], [3, 12]]);
| });
| it('2D reverse exclusive', async () => {
| const reverse = true;
| const exclusive = true;
| const res = tf
| .tensor2d([
| [1, 2],
| [3, 4],
| ])
| .cumprod(1, exclusive, reverse);
| expect(res.shape).toEqual([2, 2]);
| expectArraysClose(await res.array(), [[2, 1], [4, 1]]);
| });
| it('2D axis=0', async () => {
| const res = tf
| .tensor2d([
| [1, 2],
| [3, 4],
| ])
| .cumprod();
| expect(res.shape).toEqual([2, 2]);
| expectArraysClose(await res.array(), [[1, 2], [3, 8]]);
| });
| it('3D standard', async () => {
| const res = tf
| .tensor3d([
| [
| [0, 1],
| [2, 3],
| ],
| [
| [4, 5],
| [6, 7],
| ],
| ])
| .cumprod(2);
| expect(res.shape).toEqual([2, 2, 2]);
| expectArraysClose(await res.array(), [
| [
| [0, 0 * 1],
| [2, 2 * 3]
| ],
| [
| [4, 4 * 5],
| [6, 6 * 7]
| ]
| ]);
| });
| it('4d axis=2', async () => {
| const input = tf.add(tf.ones([1, 32, 8, 4]), tf.ones([1, 32, 8, 4]));
| const res = tf.cumprod(input, 2, false, false);
| expect(res.shape).toEqual([1, 32, 8, 4]);
| const earlySlice = tf.slice(res, [0, 0, 0, 0], [1, 1, 8, 1]);
| const lateSlice = tf.slice(res, [0, 31, 0, 0], [1, 1, 8, 1]);
| const expectedDataInEachSlice = [2, 4, 8, 16, 32, 64, 128, 256];
| expectArraysClose(await earlySlice.data(), expectedDataInEachSlice);
| expectArraysClose(await lateSlice.data(), expectedDataInEachSlice);
| });
| it('handle permutation properly', async () => {
| const res = tf.ones([1, 240, 1, 10]).cumprod(1);
| expect(res.shape).toEqual([1, 240, 1, 10]);
| });
| it('throws when passed a non-tensor', () => {
| expect(() => tf.cumprod({})).toThrowError(/Argument 'x' passed to 'cumprod' must be a Tensor/);
| });
| it('accepts a tensor-like object', async () => {
| const res = tf.cumprod([1, 2, 3, 4]);
| expect(res.shape).toEqual([4]);
| expectArraysClose(await res.data(), [1, 2, 6, 24]);
| });
| it('throws error for string tensor', () => {
| expect(() => tf.cumprod(['a', 'b', 'c'])).toThrowError(/Argument 'x' passed to 'cumprod' must be numeric tensor/);
| });
| });
| //# 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* @license\n * Copyright 2022 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('cumprod', ALL_ENVS, () => {\n  it('1D standard', async () => {\n    const res = tf.tensor1d([1, 2, 3, 4]).cumprod();\n    expect(res.shape).toEqual([4]);\n    expectArraysClose(await res.data(), [1, 2, 6, 24]);\n  });\n\n  it('1D reverse', async () => {\n    const reverse = true;\n    const exclusive = false;\n    const res = tf.tensor1d([1, 2, 3, 4]).cumprod(0, exclusive, reverse);\n    expect(res.shape).toEqual([4]);\n    expectArraysClose(await res.data(), [24, 24, 12, 4]);\n  });\n\n  it('1D exclusive', async () => {\n    const exclusive = true;\n    const res = tf.tensor1d([1, 2, 3, 4]).cumprod(0, exclusive);\n    expect(res.shape).toEqual([4]);\n    expectArraysClose(await res.data(), [1, 1, 2, 6]);\n  });\n\n  it('1D exclusive reverse', async () => {\n    const reverse = true;\n    const exclusive = true;\n    const res = tf.tensor1d([1, 2, 3, 4]).cumprod(0, exclusive, reverse);\n    expect(res.shape).toEqual([4]);\n    expectArraysClose(await res.data(), [24, 12, 4, 1]);\n  });\n\n  // TODO: once gradients are implemented, create tests something like this.\n  // it('gradient: 1D', async () => {\n  //   const a = tf.tensor1d([1, 2, 3]);\n  //   const dy = tf.tensor1d([4, 5, 6]);\n  //   const da = tf.grad((x) => tf.cumprod(x))(a, dy);\n\n  //   expect(da.shape).toEqual([3]);\n  //   expectArraysClose(await da.data(), [15, 11, 6]);\n  // });\n\n  // it('gradient with clones', async () => {\n  //   const a = tf.tensor1d([1, 2, 3]);\n  //   const dy = tf.tensor1d([4, 5, 6]);\n  //   const da = tf.grad((x) => tf.cumprod(x.clone()).clone())(a, dy);\n\n  //   expect(da.shape).toEqual([3]);\n  //   expectArraysClose(await da.data(), [15, 11, 6]);\n  // });\n\n  it('2D standard', async () => {\n    const res = tf\n      .tensor2d([\n        [1, 2],\n        [3, 4],\n      ])\n      .cumprod(1);\n    expect(res.shape).toEqual([2, 2]);\n    expectArraysClose(await res.array(), [[1, 2], [3, 12]]);\n  });\n\n  it('2D reverse exclusive', async () => {\n    const reverse = true;\n    const exclusive = true;\n    const res = tf\n      .tensor2d([\n        [1, 2],\n        [3, 4],\n      ])\n      .cumprod(1, exclusive, reverse);\n    expect(res.shape).toEqual([2, 2]);\n    expectArraysClose(await res.array(), [[2, 1], [4, 1]]);\n  });\n\n  it('2D axis=0', async () => {\n    const res = tf\n      .tensor2d([\n        [1, 2],\n        [3, 4],\n      ])\n      .cumprod();\n    expect(res.shape).toEqual([2, 2]);\n    expectArraysClose(await res.array(), [[1, 2], [3, 8]]);\n  });\n\n  it('3D standard', async () => {\n    const res = tf\n      .tensor3d([\n        [\n          [0, 1],\n          [2, 3],\n        ],\n        [\n          [4, 5],\n          [6, 7],\n        ],\n      ])\n      .cumprod(2);\n    expect(res.shape).toEqual([2, 2, 2]);\n    expectArraysClose(await res.array(), [\n      [\n        [0, 0 * 1],\n        [2, 2 * 3]\n      ],\n      [\n        [4, 4 * 5],\n        [6, 6 * 7]\n      ]\n    ]);\n  });\n\n  it('4d axis=2', async () => {\n    const input = tf.add(tf.ones([1, 32, 8, 4]), tf.ones([1, 32, 8, 4]));\n    const res = tf.cumprod(input, 2, false, false);\n\n    expect(res.shape).toEqual([1, 32, 8, 4]);\n\n    const earlySlice = tf.slice(res, [0, 0, 0, 0], [1, 1, 8, 1]);\n    const lateSlice = tf.slice(res, [0, 31, 0, 0], [1, 1, 8, 1]);\n    const expectedDataInEachSlice = [2, 4, 8, 16, 32, 64, 128, 256];\n    expectArraysClose(await earlySlice.data(), expectedDataInEachSlice);\n    expectArraysClose(await lateSlice.data(), expectedDataInEachSlice);\n  });\n\n  it('handle permutation properly', async () => {\n    const res = tf.ones([1, 240, 1, 10]).cumprod(1);\n    expect(res.shape).toEqual([1, 240, 1, 10]);\n  });\n\n  it('throws when passed a non-tensor', () => {\n    expect(() => tf.cumprod({} as tf.Tensor)).toThrowError(\n      /Argument 'x' passed to 'cumprod' must be a Tensor/\n    );\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const res = tf.cumprod([1, 2, 3, 4]);\n    expect(res.shape).toEqual([4]);\n    expectArraysClose(await res.data(), [1, 2, 6, 24]);\n  });\n\n  it('throws error for string tensor', () => {\n    expect(() => tf.cumprod(['a', 'b', 'c'])).toThrowError(\n      /Argument 'x' passed to 'cumprod' must be numeric tensor/\n    );\n  });\n});\n"]}
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