@tensorflow/tfjs-core/dist/ops/slice2d_test.js

/**
 * @license
 * Copyright 2020 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('slice2d', ALL_ENVS, () => {
    it('slicing a 1x1 from a 1x1 returns a 1x1', () => {
        const a = tf.tensor2d([0], [1, 1]);
        const b = tf.slice2d(a, [0, 0], [1, 1]);
        expect(b.shape).toEqual([1, 1]);
    });
    it('returns a tensor of slice size', () => {
        const a = tf.zeros([100, 100]);
        const b = tf.slice2d(a, [0, 0], [12, 34]);
        expect(b.shape).toEqual([12, 34]);
    });
    it('returns the upper-left submatrix when begin is [0, 0]', async () => {
        const a = tf.randomUniform([10, 10], -1, 1);
        const b = tf.slice2d(a, [0, 0], [2, 2]);
        const aValues = await a.data();
        expectArraysClose(await b.data(), [aValues[0], aValues[1], aValues[10], aValues[11]]);
    });
    it('returns the rectangle specified', async () => {
        const a = tf.tensor2d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [4, 3]);
        const b = tf.slice2d(a, [1, 1], [3, 2]);
        expectArraysClose(await b.data(), [5, 6, 8, 9, 11, 12]);
    });
    it('throws when requesting out of bounds slice', () => {
        const a = tf.tensor2d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [4, 3]);
        expect(() => tf.slice2d(a, [1, 1], [10, 10])).toThrowError();
    });
    it('grad', async () => {
        const a = tf.tensor2d([[1, 2, 3], [4, 5, 6]]);
        const dy = tf.tensor2d([[20], [50]]);
        const da = tf.grad((x) => tf.slice2d(a, [0, 1], [2, 1]))(a, dy);
        expect(da.shape).toEqual([2, 3]);
        expectArraysClose(await da.data(), [0, 20, 0, 0, 50, 0]);
    });
    it('accepts a tensor-like object', () => {
        const a = [[0]]; // 1x1
        const b = tf.slice2d(a, [0, 0], [1, 1]);
        expect(b.shape).toEqual([1, 1]);
    });
    it('slice an already sliced tensor, first was not continous', async () => {
        const a = [
            [1, 2, 3, 4],
            [5, 6, 7, 8],
            [9, 10, 11, 12],
        ]; // 3x4.
        const b = tf.slice(a, [0, 1]);
        const c = tf.slice(b, [1, 1], [1, 1]);
        expect(c.shape).toEqual([1, 1]);
        expectArraysClose(await c.data(), [7]);
    });
    it('slice an already sliced tensor, first was continous', async () => {
        const a = [
            [1, 2, 3, 4],
            [5, 6, 7, 8],
            [9, 10, 11, 12],
        ]; // 3x4.
        const b = tf.slice(a, [1, 0]);
        const c = tf.slice(b, [1, 0]);
        expect(c.shape).toEqual([1, 4]);
        expectArraysClose(await c.data(), [9, 10, 11, 12]);
    });
    it('slice an already sliced tensor and do async read', async () => {
        const a = [
            [1, 2, 3, 4],
            [5, 6, 7, 8],
            [9, 10, 11, 12],
        ]; // 3x4.
        const b = tf.slice(a, [0, 1]);
        const c = tf.slice(b, [1, 1], [1, 1]);
        expect(c.shape).toEqual([1, 1]);
        expectArraysClose(await c.data(), new Float32Array([7]));
    });
    it('square a sliced texture, followed by non-sliced texture of same shape', async () => {
        // Make a 2x3 tensor, upload to gpu and reshape to 3x2.
        const input = tf.tensor([[1, 2, 3], [4, 5, 6]]).abs().as2D(3, 2);
        const slicedInput = tf.slice(input, [0, 0], [3, 2]);
        // First square program takes the sliced input.
        const a = slicedInput.square();
        expectArraysClose(await a.data(), [1, 4, 9, 16, 25, 36]);
        // Second square program takes the non-sliced input.
        const b = tf.square(input);
        expectArraysClose(await b.data(), [1, 4, 9, 16, 25, 36]);
    });
    it('square a non-sliced texture, followed by a sliced texture of same shape', async () => {
        // Make a 2x3 tensor, upload to gpu and reshape to 3x2.
        const input = tf.tensor([[1, 2, 3], [4, 5, 6]]).abs().as2D(3, 2);
        // Make a sliced version of the same tensor with the same shape.
        const slicedInput = tf.slice(input, [0, 0], [3, 2]);
        // First square program takes the non-sliced input.
        const a = input.square();
        expectArraysClose(await a.data(), [1, 4, 9, 16, 25, 36]);
        // Second square program takes the sliced input.
        const b = tf.square(slicedInput);
        expectArraysClose(await b.data(), [1, 4, 9, 16, 25, 36]);
    });
    it('slice a tensor and do async read', async () => {
        const a = [
            [1, 2, 3, 4],
            [5, 6, 7, 8],
            [9, 10, 11, 12],
        ]; // 3x4.
        const b = tf.slice(a, [0, 1], [3, 2]);
        expect(b.shape).toEqual([3, 2]);
        const vals = await b.data();
        expectArraysClose(vals, new Float32Array([2, 3, 6, 7, 10, 11]));
    });
    it('flatten a sliced tensor that was continuous in memory', async () => {
        const a = [
            [1, 2, 3, 4],
            [5, 6, 7, 8],
            [9, 10, 11, 12],
        ]; // 3x4.
        const b = tf.slice(a, [1, 0]).flatten();
        expect(b.shape).toEqual([8]);
        expectArraysClose(await b.data(), [5, 6, 7, 8, 9, 10, 11, 12]);
    });
    it('slice a tensor that was not continuous in memory', async () => {
        const a = [
            [1, 2, 3, 4],
            [5, 6, 7, 8],
            [9, 10, 11, 12],
        ]; // 3x4.
        const b = tf.slice(a, [0, 1]);
        expect(b.shape).toEqual([3, 3]);
        expectArraysClose(await b.data(), [2, 3, 4, 6, 7, 8, 10, 11, 12]);
    });
    it('flatten a sliced tensor that was not continuous in memory', async () => {
        const a = [
            [1, 2, 3, 4],
            [5, 6, 7, 8],
            [9, 10, 11, 12],
        ]; // 3x4.
        const b = tf.slice(a, [0, 1]).flatten();
        expect(b.shape).toEqual([9]);
        expectArraysClose(await b.data(), [2, 3, 4, 6, 7, 8, 10, 11, 12]);
    });
    it('flatten a sliced tensor not continuous in memory and run program', async () => {
        const a = [
            [1, 2, 3, 4],
            [5, 6, 7, 8],
            [9, 10, 11, 12],
        ]; // 3x4.
        const b = tf.slice(a, [0, 1]).flatten();
        const c = tf.square(b);
        expectArraysClose(await c.data(), [4, 9, 16, 36, 49, 64, 100, 121, 144]);
    });
    it('reshape a sliced 1d into a 2d tensor', async () => {
        const a = [1, 2, 3, 4, 5];
        const b = tf.slice(a, 1).as2D(2, 2);
        expect(b.shape).toEqual([2, 2]);
        expectArraysClose(await b.data(), [2, 3, 4, 5]);
    });
    it('reshape a sliced 1d into a 2d tensor and run program', async () => {
        const a = [1, 2, 3, 4, 5];
        const b = tf.slice(a, 1).as2D(2, 2).square();
        expect(b.shape).toEqual([2, 2]);
        expectArraysClose(await b.data(), [4, 9, 16, 25]);
    });
    it('broadcast the original with the sliced tensor', async () => {
        const a = [[1, 2], [3, 4]];
        const b = tf.slice(a, [0, 1]);
        const c = tf.add(a, b);
        expect(c.shape).toEqual([2, 2]);
        expectArraysClose(await c.data(), [3, 4, 7, 8]);
    });
    it('zero-sized slice out of a non-zero sized tensor', async () => {
        const a = tf.zeros([4, 2]);
        const res = tf.slice(a, [0, 0], [0, 2]);
        expect(res.shape).toEqual([0, 2]);
        expectArraysClose(await res.data(), []);
    });
    it('zero-sized slice out of a zero-sized tensor', async () => {
        const a = tf.zeros([0, 4]);
        const res = tf.slice(a, [0, 1], [0, 3]);
        expect(res.shape).toEqual([0, 3]);
        expectArraysClose(await res.data(), []);
    });
});
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* @license\n * Copyright 2020 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';\nimport {Rank} from '../types';\n\ndescribeWithFlags('slice2d', ALL_ENVS, () => {\n  it('slicing a 1x1 from a 1x1 returns a 1x1', () => {\n    const a = tf.tensor2d([0], [1, 1]);\n    const b = tf.slice2d(a, [0, 0], [1, 1]);\n    expect(b.shape).toEqual([1, 1]);\n  });\n\n  it('returns a tensor of slice size', () => {\n    const a = tf.zeros<Rank.R2>([100, 100]);\n    const b = tf.slice2d(a, [0, 0], [12, 34]);\n    expect(b.shape).toEqual([12, 34]);\n  });\n\n  it('returns the upper-left submatrix when begin is [0, 0]', async () => {\n    const a = tf.randomUniform<Rank.R2>([10, 10], -1, 1);\n    const b = tf.slice2d(a, [0, 0], [2, 2]);\n    const aValues = await a.data();\n\n    expectArraysClose(\n        await b.data(), [aValues[0], aValues[1], aValues[10], aValues[11]]);\n  });\n\n  it('returns the rectangle specified', async () => {\n    const a = tf.tensor2d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [4, 3]);\n    const b = tf.slice2d(a, [1, 1], [3, 2]);\n\n    expectArraysClose(await b.data(), [5, 6, 8, 9, 11, 12]);\n  });\n\n  it('throws when requesting out of bounds slice', () => {\n    const a = tf.tensor2d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [4, 3]);\n    expect(() => tf.slice2d(a, [1, 1], [10, 10])).toThrowError();\n  });\n\n  it('grad', async () => {\n    const a = tf.tensor2d([[1, 2, 3], [4, 5, 6]]);\n    const dy = tf.tensor2d([[20], [50]]);\n    const da =\n        tf.grad((x: tf.Tensor2D) => tf.slice2d(a, [0, 1], [2, 1]))(a, dy);\n    expect(da.shape).toEqual([2, 3]);\n    expectArraysClose(await da.data(), [0, 20, 0, 0, 50, 0]);\n  });\n\n  it('accepts a tensor-like object', () => {\n    const a = [[0]];  // 1x1\n    const b = tf.slice2d(a, [0, 0], [1, 1]);\n    expect(b.shape).toEqual([1, 1]);\n  });\n\n  it('slice an already sliced tensor, first was not continous', async () => {\n    const a = [\n      [1, 2, 3, 4],\n      [5, 6, 7, 8],\n      [9, 10, 11, 12],\n    ];  // 3x4.\n    const b = tf.slice(a, [0, 1]);\n    const c = tf.slice(b, [1, 1], [1, 1]);\n    expect(c.shape).toEqual([1, 1]);\n    expectArraysClose(await c.data(), [7]);\n  });\n\n  it('slice an already sliced tensor, first was continous', async () => {\n    const a = [\n      [1, 2, 3, 4],\n      [5, 6, 7, 8],\n      [9, 10, 11, 12],\n    ];  // 3x4.\n    const b = tf.slice(a, [1, 0]);\n    const c = tf.slice(b, [1, 0]);\n    expect(c.shape).toEqual([1, 4]);\n    expectArraysClose(await c.data(), [9, 10, 11, 12]);\n  });\n\n  it('slice an already sliced tensor and do async read', async () => {\n    const a = [\n      [1, 2, 3, 4],\n      [5, 6, 7, 8],\n      [9, 10, 11, 12],\n    ];  // 3x4.\n    const b = tf.slice(a, [0, 1]);\n    const c = tf.slice(b, [1, 1], [1, 1]);\n    expect(c.shape).toEqual([1, 1]);\n    expectArraysClose(await c.data(), new Float32Array([7]));\n  });\n\n  it('square a sliced texture, followed by non-sliced texture of same shape',\n     async () => {  // Tests collisions in the shader cache.\n       // Make a 2x3 tensor, upload to gpu and reshape to 3x2.\n       const input = tf.tensor([[1, 2, 3], [4, 5, 6]]).abs().as2D(3, 2);\n       const slicedInput = tf.slice(input, [0, 0], [3, 2]);\n       // First square program takes the sliced input.\n       const a = slicedInput.square();\n       expectArraysClose(await a.data(), [1, 4, 9, 16, 25, 36]);\n       // Second square program takes the non-sliced input.\n       const b = tf.square(input);\n       expectArraysClose(await b.data(), [1, 4, 9, 16, 25, 36]);\n     });\n\n  it('square a non-sliced texture, followed by a sliced texture of same shape',\n     async () => {  // Tests collisions in the shader cache.\n       // Make a 2x3 tensor, upload to gpu and reshape to 3x2.\n       const input = tf.tensor([[1, 2, 3], [4, 5, 6]]).abs().as2D(3, 2);\n       // Make a sliced version of the same tensor with the same shape.\n       const slicedInput = tf.slice(input, [0, 0], [3, 2]);\n       // First square program takes the non-sliced input.\n       const a = input.square();\n       expectArraysClose(await a.data(), [1, 4, 9, 16, 25, 36]);\n       // Second square program takes the sliced input.\n       const b = tf.square(slicedInput);\n       expectArraysClose(await b.data(), [1, 4, 9, 16, 25, 36]);\n     });\n\n  it('slice a tensor and do async read', async () => {\n    const a = [\n      [1, 2, 3, 4],\n      [5, 6, 7, 8],\n      [9, 10, 11, 12],\n    ];  // 3x4.\n    const b = tf.slice(a, [0, 1], [3, 2]);\n    expect(b.shape).toEqual([3, 2]);\n    const vals = await b.data();\n    expectArraysClose(vals, new Float32Array([2, 3, 6, 7, 10, 11]));\n  });\n\n  it('flatten a sliced tensor that was continuous in memory', async () => {\n    const a = [\n      [1, 2, 3, 4],\n      [5, 6, 7, 8],\n      [9, 10, 11, 12],\n    ];  // 3x4.\n    const b = tf.slice(a, [1, 0]).flatten();\n    expect(b.shape).toEqual([8]);\n    expectArraysClose(await b.data(), [5, 6, 7, 8, 9, 10, 11, 12]);\n  });\n\n  it('slice a tensor that was not continuous in memory', async () => {\n    const a = [\n      [1, 2, 3, 4],\n      [5, 6, 7, 8],\n      [9, 10, 11, 12],\n    ];  // 3x4.\n    const b = tf.slice(a, [0, 1]);\n    expect(b.shape).toEqual([3, 3]);\n    expectArraysClose(await b.data(), [2, 3, 4, 6, 7, 8, 10, 11, 12]);\n  });\n\n  it('flatten a sliced tensor that was not continuous in memory', async () => {\n    const a = [\n      [1, 2, 3, 4],\n      [5, 6, 7, 8],\n      [9, 10, 11, 12],\n    ];  // 3x4.\n    const b = tf.slice(a, [0, 1]).flatten();\n    expect(b.shape).toEqual([9]);\n    expectArraysClose(await b.data(), [2, 3, 4, 6, 7, 8, 10, 11, 12]);\n  });\n\n  it('flatten a sliced tensor not continuous in memory and run program',\n     async () => {\n       const a = [\n         [1, 2, 3, 4],\n         [5, 6, 7, 8],\n         [9, 10, 11, 12],\n       ];  // 3x4.\n       const b = tf.slice(a, [0, 1]).flatten();\n       const c = tf.square(b);\n       expectArraysClose(await c.data(), [4, 9, 16, 36, 49, 64, 100, 121, 144]);\n     });\n\n  it('reshape a sliced 1d into a 2d tensor', async () => {\n    const a = [1, 2, 3, 4, 5];\n    const b = tf.slice(a, 1).as2D(2, 2);\n    expect(b.shape).toEqual([2, 2]);\n    expectArraysClose(await b.data(), [2, 3, 4, 5]);\n  });\n\n  it('reshape a sliced 1d into a 2d tensor and run program', async () => {\n    const a = [1, 2, 3, 4, 5];\n    const b = tf.slice(a, 1).as2D(2, 2).square();\n    expect(b.shape).toEqual([2, 2]);\n    expectArraysClose(await b.data(), [4, 9, 16, 25]);\n  });\n\n  it('broadcast the original with the sliced tensor', async () => {\n    const a = [[1, 2], [3, 4]];\n    const b = tf.slice(a, [0, 1]);\n    const c = tf.add(a, b);\n    expect(c.shape).toEqual([2, 2]);\n    expectArraysClose(await c.data(), [3, 4, 7, 8]);\n  });\n\n  it('zero-sized slice out of a non-zero sized tensor', async () => {\n    const a = tf.zeros([4, 2]);\n    const res = tf.slice(a, [0, 0], [0, 2]);\n    expect(res.shape).toEqual([0, 2]);\n    expectArraysClose(await res.data(), []);\n  });\n\n  it('zero-sized slice out of a zero-sized tensor', async () => {\n    const a = tf.zeros([0, 4]);\n    const res = tf.slice(a, [0, 1], [0, 3]);\n    expect(res.shape).toEqual([0, 3]);\n    expectArraysClose(await res.data(), []);\n  });\n});\n"]}