/**
 * @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';
import { backend } from '../index';
describeWithFlags('abs', ALL_ENVS, () => {
    it('basic', async () => {
        const a = tf.tensor1d([1, -2, 0, 3, -0.1]);
        const result = tf.abs(a);
        expectArraysClose(await result.data(), [1, 2, 0, 3, 0.1]);
    });
    it('5D', async () => {
        const a = tf.tensor5d([1, -2, 0, -3], [1, 2, 2, 1, 1]);
        const result = tf.abs(a);
        expectArraysClose(await result.data(), [1, 2, 0, 3]);
    });
    it('6D', async () => {
        const a = tf.tensor6d([1, -2, 5, -3, -1, 4, 7, 8], [1, 2, 2, 2, 1, 1]);
        const result = tf.abs(a);
        expectArraysClose(await result.data(), [1, 2, 5, 3, 1, 4, 7, 8]);
    });
    it('int32', async () => {
        if (backend() && backend().floatPrecision() === 32) {
            // TODO: Use skip() instead when it is implemented
            const a = tf.tensor1d([10, 12345678, -12345678], 'int32');
            const result = tf.abs(a);
            expect(result.dtype).toEqual('int32');
            expectArraysClose(await result.data(), [10, 12345678, 12345678]);
        }
    });
    it('complex64 rank-1', async () => {
        const a = tf.complex([-2, -1, 0, 1, 2], [1, 2, 3, 0, -1]);
        const result = tf.abs(a);
        expectArraysClose(await result.data(), [
            Math.sqrt(-2 * -2 + 1 * 1), Math.sqrt(-1 * -1 + 2 * 2),
            Math.sqrt(0 * 0 + 3 * 3), Math.sqrt(1 * 1 + 0 * 0),
            Math.sqrt(2 * 2 + -1 * -1)
        ]);
        expect(result.shape).toEqual([5]);
    });
    it('complex64 rank-2', async () => {
        const a = tf.complex([[-3, -2, -1], [0, 1, 2]], [[4, 1, 2], [3, 0, -1]]);
        const result = tf.abs(a);
        expectArraysClose(await result.data(), [
            Math.sqrt(-3 * -3 + 4 * 4), Math.sqrt(-2 * -2 + 1 * 1),
            Math.sqrt(-1 * -1 + 2 * 2), Math.sqrt(0 * 0 + 3 * 3),
            Math.sqrt(1 * 1 + 0 * 0), Math.sqrt(2 * 2 + -1 * -1)
        ]);
        expect(result.shape).toEqual([2, 3]);
    });
    it('complex64 rank-3', async () => {
        const a = tf.complex([[[-3, -2], [-1, 0]], [[1, 2], [3, 4]]], [[[4, 1], [2, 3]], [[0, -1], [-3, -4]]]);
        const result = tf.abs(a);
        expectArraysClose(await result.data(), [
            Math.sqrt(-3 * -3 + 4 * 4), Math.sqrt(-2 * -2 + 1 * 1),
            Math.sqrt(-1 * -1 + 2 * 2), Math.sqrt(0 * 0 + 3 * 3),
            Math.sqrt(1 * 1 + 0 * 0), Math.sqrt(2 * 2 + -1 * -1),
            Math.sqrt(3 * 3 + -3 * -3), Math.sqrt(4 * 4 + -4 * -4)
        ]);
        expect(result.shape).toEqual([2, 2, 2]);
    });
    it('is underflow-safe for complex64', async () => {
        const floatBits = tf.backend().floatPrecision();
        let small;
        switch (floatBits) {
            case 32:
                small = 1e-30;
                break;
            case 16:
                small = 1e-4;
                break;
            default:
                throw new Error(`Test not implemented for ENV.engine.floatPrecision()=${floatBits}.`);
        }
        const a = tf.complex([small, 0, small, 0], [small, small, 0, 0]);
        const result = tf.abs(a);
        expectArraysClose(await result.data(), [
            Math.hypot(small, small), Math.hypot(0, small), Math.hypot(small, 0),
            Math.hypot(0, 0)
        ], 
        /*tolerance=*/ small / 100);
        expect(result.shape).toEqual([4]);
    });
    it('propagates NaNs', async () => {
        const a = tf.tensor1d([1, -2, 0, 3, -0.1, NaN]);
        const result = tf.abs(a);
        expectArraysClose(await result.data(), [1, 2, 0, 3, 0.1, NaN]);
    });
    it('gradients: Scalar', async () => {
        const a = tf.scalar(4);
        const dy = tf.scalar(8);
        const da = tf.grad(a => tf.abs(a))(a, dy);
        expect(da.shape).toEqual(a.shape);
        expect(da.dtype).toEqual('float32');
        expectArraysClose(await da.data(), [8 * 1]);
    });
    it('gradient with clones', () => {
        const a = tf.scalar(4);
        const dy = tf.scalar(8);
        const da = tf.grad(a => a.clone().abs().clone())(a, dy);
        expect(da.shape).toEqual(a.shape);
        expect(da.dtype).toEqual('float32');
    });
    it('gradients: Tensor1D', async () => {
        const a = tf.tensor1d([1, 2, -3, 5]);
        const dy = tf.tensor1d([1, 2, 3, 4]);
        const da = tf.grad(a => tf.abs(a))(a, dy);
        expect(da.shape).toEqual(a.shape);
        expect(da.dtype).toEqual('float32');
        expectArraysClose(await da.data(), [1 * 1, 2 * 1, 3 * -1, 4 * 1]);
    });
    it('gradients: Tensor2D', async () => {
        const a = tf.tensor2d([3, -1, -2, 3], [2, 2]);
        const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);
        const da = tf.grad(a => tf.abs(a))(a, dy);
        expect(da.shape).toEqual(a.shape);
        expect(da.dtype).toEqual('float32');
        expectArraysClose(await da.data(), [1 * 1, 2 * -1, 3 * -1, 4 * 1]);
    });
    it('throws when passed a non-tensor', () => {
        expect(() => tf.abs({}))
            .toThrowError(/Argument 'x' passed to 'abs' must be a Tensor/);
    });
    it('accepts a tensor-like object', async () => {
        const result = tf.abs([1, -2, 0, 3, -0.1]);
        expectArraysClose(await result.data(), [1, 2, 0, 3, 0.1]);
    });
    it('throws for string tensor', () => {
        expect(() => tf.abs('q'))
            .toThrowError(/Argument 'x' passed to 'abs' must be numeric/);
    });
});
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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 {backend} from '../index';\n\ndescribeWithFlags('abs', ALL_ENVS, () => {\n  it('basic', async () => {\n    const a = tf.tensor1d([1, -2, 0, 3, -0.1]);\n    const result = tf.abs(a);\n    expectArraysClose(await result.data(), [1, 2, 0, 3, 0.1]);\n  });\n\n  it('5D', async () => {\n    const a = tf.tensor5d([1, -2, 0, -3], [1, 2, 2, 1, 1]);\n    const result = tf.abs(a);\n    expectArraysClose(await result.data(), [1, 2, 0, 3]);\n  });\n\n  it('6D', async () => {\n    const a = tf.tensor6d([1, -2, 5, -3, -1, 4, 7, 8], [1, 2, 2, 2, 1, 1]);\n    const result = tf.abs(a);\n    expectArraysClose(await result.data(), [1, 2, 5, 3, 1, 4, 7, 8]);\n  });\n\n  it('int32', async () => {\n    if (backend() && backend().floatPrecision() === 32) {\n      // TODO: Use skip() instead when it is implemented\n      const a = tf.tensor1d([10, 12345678, -12345678], 'int32');\n      const result = tf.abs(a);\n      expect(result.dtype).toEqual('int32');\n      expectArraysClose(await result.data(), [10, 12345678, 12345678]);\n    }\n  });\n\n  it('complex64 rank-1', async () => {\n    const a = tf.complex([-2, -1, 0, 1, 2], [1, 2, 3, 0, -1]);\n    const result = tf.abs(a);\n    expectArraysClose(await result.data(), [\n      Math.sqrt(-2 * -2 + 1 * 1), Math.sqrt(-1 * -1 + 2 * 2),\n      Math.sqrt(0 * 0 + 3 * 3), Math.sqrt(1 * 1 + 0 * 0),\n      Math.sqrt(2 * 2 + -1 * -1)\n    ]);\n    expect(result.shape).toEqual([5]);\n  });\n\n  it('complex64 rank-2', async () => {\n    const a = tf.complex([[-3, -2, -1], [0, 1, 2]], [[4, 1, 2], [3, 0, -1]]);\n    const result = tf.abs(a);\n    expectArraysClose(await result.data(), [\n      Math.sqrt(-3 * -3 + 4 * 4), Math.sqrt(-2 * -2 + 1 * 1),\n      Math.sqrt(-1 * -1 + 2 * 2), Math.sqrt(0 * 0 + 3 * 3),\n      Math.sqrt(1 * 1 + 0 * 0), Math.sqrt(2 * 2 + -1 * -1)\n    ]);\n    expect(result.shape).toEqual([2, 3]);\n  });\n\n  it('complex64 rank-3', async () => {\n    const a = tf.complex(\n        [[[-3, -2], [-1, 0]], [[1, 2], [3, 4]]],\n        [[[4, 1], [2, 3]], [[0, -1], [-3, -4]]]);\n    const result = tf.abs(a);\n    expectArraysClose(await result.data(), [\n      Math.sqrt(-3 * -3 + 4 * 4), Math.sqrt(-2 * -2 + 1 * 1),\n      Math.sqrt(-1 * -1 + 2 * 2), Math.sqrt(0 * 0 + 3 * 3),\n      Math.sqrt(1 * 1 + 0 * 0), Math.sqrt(2 * 2 + -1 * -1),\n      Math.sqrt(3 * 3 + -3 * -3), Math.sqrt(4 * 4 + -4 * -4)\n    ]);\n    expect(result.shape).toEqual([2, 2, 2]);\n  });\n\n  it('is underflow-safe for complex64', async () => {\n    const floatBits = tf.backend().floatPrecision();\n    let small;\n    switch (floatBits) {\n      case 32:\n        small = 1e-30;\n        break;\n      case 16:\n        small = 1e-4;\n        break;\n      default:\n        throw new Error(`Test not implemented for ENV.engine.floatPrecision()=${\n            floatBits}.`);\n    }\n\n    const a = tf.complex([small, 0, small, 0], [small, small, 0, 0]);\n    const result = tf.abs(a);\n    expectArraysClose(\n        await result.data(),\n        [\n          Math.hypot(small, small), Math.hypot(0, small), Math.hypot(small, 0),\n          Math.hypot(0, 0)\n        ],\n        /*tolerance=*/ small / 100);\n    expect(result.shape).toEqual([4]);\n  });\n\n  it('propagates NaNs', async () => {\n    const a = tf.tensor1d([1, -2, 0, 3, -0.1, NaN]);\n    const result = tf.abs(a);\n    expectArraysClose(await result.data(), [1, 2, 0, 3, 0.1, NaN]);\n  });\n\n  it('gradients: Scalar', async () => {\n    const a = tf.scalar(4);\n    const dy = tf.scalar(8);\n\n    const da = tf.grad(a => tf.abs(a))(a, dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(da.dtype).toEqual('float32');\n    expectArraysClose(await da.data(), [8 * 1]);\n  });\n\n  it('gradient with clones', () => {\n    const a = tf.scalar(4);\n    const dy = tf.scalar(8);\n\n    const da = tf.grad(a => a.clone().abs().clone())(a, dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(da.dtype).toEqual('float32');\n  });\n\n  it('gradients: Tensor1D', async () => {\n    const a = tf.tensor1d([1, 2, -3, 5]);\n    const dy = tf.tensor1d([1, 2, 3, 4]);\n\n    const da = tf.grad(a => tf.abs(a))(a, dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(da.dtype).toEqual('float32');\n    expectArraysClose(await da.data(), [1 * 1, 2 * 1, 3 * -1, 4 * 1]);\n  });\n\n  it('gradients: Tensor2D', async () => {\n    const a = tf.tensor2d([3, -1, -2, 3], [2, 2]);\n    const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n\n    const da = tf.grad(a => tf.abs(a))(a, dy);\n\n    expect(da.shape).toEqual(a.shape);\n    expect(da.dtype).toEqual('float32');\n    expectArraysClose(await da.data(), [1 * 1, 2 * -1, 3 * -1, 4 * 1]);\n  });\n\n  it('throws when passed a non-tensor', () => {\n    expect(() => tf.abs({} as tf.Tensor))\n        .toThrowError(/Argument 'x' passed to 'abs' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const result = tf.abs([1, -2, 0, 3, -0.1]);\n    expectArraysClose(await result.data(), [1, 2, 0, 3, 0.1]);\n  });\n\n  it('throws for string tensor', () => {\n    expect(() => tf.abs('q'))\n        .toThrowError(/Argument 'x' passed to 'abs' must be numeric/);\n  });\n});\n"]}