/**
 * @license
 * Copyright 2018 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, expectArraysEqual } from '../test_util';
describeWithFlags('greaterEqual', ALL_ENVS, () => {
    // Tensor1D:
    it('Tensor1D - int32', async () => {
        let a = tf.tensor1d([1, 4, 5], 'int32');
        let b = tf.tensor1d([2, 3, 5], 'int32');
        let res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [0, 1, 1]);
        a = tf.tensor1d([2, 2, 2], 'int32');
        b = tf.tensor1d([2, 2, 2], 'int32');
        res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [1, 1, 1]);
        a = tf.tensor1d([0, 0], 'int32');
        b = tf.tensor1d([3, 3], 'int32');
        res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [0, 0]);
    });
    it('Tensor1D - float32', async () => {
        let a = tf.tensor1d([1.1, 4.1, 5.1], 'float32');
        let b = tf.tensor1d([2.2, 3.2, 5.1], 'float32');
        let res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [0, 1, 1]);
        a = tf.tensor1d([2.31, 2.31, 2.31], 'float32');
        b = tf.tensor1d([2.31, 2.31, 2.31], 'float32');
        res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [1, 1, 1]);
        a = tf.tensor1d([0.45, 0.123], 'float32');
        b = tf.tensor1d([3.123, 3.321], 'float32');
        res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [0, 0]);
    });
    it('upcasts when dtypes dont match', async () => {
        const a = [1.1, 4.1, 5];
        const b = [2.2, 3.2, 5];
        let res = tf.greaterEqual(tf.tensor(a, [3], 'float32'), tf.tensor(b, [3], 'int32'));
        expect(res.dtype).toBe('bool');
        expect(res.shape).toEqual([3]);
        expectArraysClose(await res.data(), [0, 1, 1]);
        res =
            tf.greaterEqual(tf.tensor(a, [3], 'int32'), tf.tensor(b, [3], 'bool'));
        expect(res.dtype).toBe('bool');
        expect(res.shape).toEqual([3]);
        expectArraysClose(await res.data(), [1, 1, 1]);
    });
    it('mismatched Tensor1D shapes - int32', () => {
        const a = tf.tensor1d([1, 2], 'int32');
        const b = tf.tensor1d([1, 2, 3], 'int32');
        const f = () => {
            tf.greaterEqual(a, b);
        };
        expect(f).toThrowError();
    });
    it('mismatched Tensor1D shapes - float32', () => {
        const a = tf.tensor1d([1.1, 2.1], 'float32');
        const b = tf.tensor1d([1.1, 2.1, 3.1], 'float32');
        const f = () => {
            tf.greaterEqual(a, b);
        };
        expect(f).toThrowError();
    });
    it('NaNs in Tensor1D - float32', async () => {
        const a = tf.tensor1d([1.1, NaN, 2.1], 'float32');
        const b = tf.tensor1d([2.1, 3.1, NaN], 'float32');
        const res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [0, 0, 0]);
    });
    // Tensor2D:
    it('Tensor2D - int32', async () => {
        let a = tf.tensor2d([[1, 4, 5], [8, 9, 12]], [2, 3], 'int32');
        let b = tf.tensor2d([[2, 3, 6], [7, 10, 11]], [2, 3], 'int32');
        let res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [0, 1, 0, 1, 0, 1]);
        a = tf.tensor2d([[0, 0], [1, 1]], [2, 2], 'int32');
        b = tf.tensor2d([[0, 0], [1, 1]], [2, 2], 'int32');
        res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [1, 1, 1, 1]);
    });
    it('Tensor2D - float32', async () => {
        let a = tf.tensor2d([[1.1, 4.1, 5.1], [8.1, 9.1, 12.1]], [2, 3], 'float32');
        let b = tf.tensor2d([[2.1, 3.1, 6.1], [7.1, 10.1, 11.1]], [2, 3], 'float32');
        let res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [0, 1, 0, 1, 0, 1]);
        a = tf.tensor2d([[0.2, 0.2], [1.2, 1.2]], [2, 2], 'float32');
        b = tf.tensor2d([[0.2, 0.2], [1.2, 1.2]], [2, 2], 'float32');
        res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [1, 1, 1, 1]);
    });
    it('broadcasting Tensor2D shapes - int32', async () => {
        const a = tf.tensor2d([[3], [7]], [2, 1], 'int32');
        const b = tf.tensor2d([[2, 3, 4], [7, 8, 9]], [2, 3], 'int32');
        const res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [1, 1, 0, 1, 0, 0]);
    });
    it('broadcasting Tensor2D shapes - float32', async () => {
        const a = tf.tensor2d([[1.1], [7.1]], [2, 1], 'float32');
        const b = tf.tensor2d([[0.1, 1.1, 2.1], [7.1, 8.1, 9.1]], [2, 3], 'float32');
        const res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [1, 1, 0, 1, 0, 0]);
    });
    it('NaNs in Tensor2D - float32', async () => {
        const a = tf.tensor2d([[1.1, NaN], [0.1, NaN]], [2, 2], 'float32');
        const b = tf.tensor2d([[0.1, NaN], [1.1, NaN]], [2, 2], 'float32');
        const res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [1, 0, 0, 0]);
    });
    // Tensor3D:
    it('Tensor3D - int32', async () => {
        let a = tf.tensor3d([[[1], [4], [5]], [[8], [9], [12]]], [2, 3, 1], 'int32');
        let b = tf.tensor3d([[[2], [3], [6]], [[7], [10], [11]]], [2, 3, 1], 'int32');
        let res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [0, 1, 0, 1, 0, 1]);
        a = tf.tensor3d([[[0], [0], [0]], [[1], [1], [1]]], [2, 3, 1], 'int32');
        b = tf.tensor3d([[[0], [0], [0]], [[1], [1], [1]]], [2, 3, 1], 'int32');
        res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [1, 1, 1, 1, 1, 1]);
    });
    it('Tensor3D - float32', async () => {
        let a = tf.tensor3d([[[1.1], [4.1], [5.1]], [[8.1], [9.1], [12.1]]], [2, 3, 1], 'float32');
        let b = tf.tensor3d([[[2.1], [3.1], [6.1]], [[7.1], [10.1], [11.1]]], [2, 3, 1], 'float32');
        let res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [0, 1, 0, 1, 0, 1]);
        a = tf.tensor3d([[[0.1], [0.1], [0.1]], [[1.1], [1.1], [1.2]]], [2, 3, 1], 'float32');
        b = tf.tensor3d([[[0.1], [0.1], [0.1]], [[1.1], [1.1], [1.1]]], [2, 3, 1], 'float32');
        res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [1, 1, 1, 1, 1, 1]);
    });
    it('broadcasting Tensor3D shapes - int32', async () => {
        const a = tf.tensor3d([[[1, 0], [2, 3], [4, 5]], [[6, 7], [9, 8], [10, 11]]], [2, 3, 2], 'int32');
        const b = tf.tensor3d([[[1], [2], [3]], [[7], [10], [9]]], [2, 3, 1], 'int32');
        const res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1]);
    });
    it('broadcasting Tensor3D shapes - float32', async () => {
        const a = tf.tensor3d([
            [[1.1, 0.1], [2.1, 3.1], [4.1, 5.1]],
            [[6.1, 7.1], [9.1, 8.1], [10.1, 11.1]]
        ], [2, 3, 2], 'float32');
        const b = tf.tensor3d([[[1.1], [2.1], [3.1]], [[7.1], [10.1], [9.1]]], [2, 3, 1], 'float32');
        const res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1]);
    });
    it('NaNs in Tensor3D - float32', async () => {
        const a = tf.tensor3d([[[1.1], [NaN], [1.1]], [[0.1], [0.1], [0.1]]], [2, 3, 1], 'float32');
        const b = tf.tensor3d([[[0.1], [0.1], [1.1]], [[1.1], [0.1], [NaN]]], [2, 3, 1], 'float32');
        const res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [1, 0, 1, 0, 1, 0]);
    });
    // Tensor4D:
    it('Tensor4D - int32', async () => {
        let a = tf.tensor4d([1, 4, 5, 8], [2, 2, 1, 1], 'int32');
        let b = tf.tensor4d([2, 3, 6, 7], [2, 2, 1, 1], 'int32');
        let res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [0, 1, 0, 1]);
        a = tf.tensor4d([0, 1, 2, 3], [2, 2, 1, 1], 'int32');
        b = tf.tensor4d([0, 1, 2, 3], [2, 2, 1, 1], 'int32');
        res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [1, 1, 1, 1]);
        a = tf.tensor4d([1, 1, 1, 1], [2, 2, 1, 1], 'int32');
        b = tf.tensor4d([2, 2, 2, 2], [2, 2, 1, 1], 'int32');
        res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [0, 0, 0, 0]);
    });
    it('Tensor4D - float32', async () => {
        let a = tf.tensor4d([1.1, 4.1, 5.1, 8.1], [2, 2, 1, 1], 'float32');
        let b = tf.tensor4d([2.1, 3.1, 6.1, 7.1], [2, 2, 1, 1], 'float32');
        let res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [0, 1, 0, 1]);
        a = tf.tensor4d([0.1, 1.1, 2.2, 3.3], [2, 2, 1, 1], 'float32');
        b = tf.tensor4d([0.1, 1.1, 2.2, 3.3], [2, 2, 1, 1], 'float32');
        res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [1, 1, 1, 1]);
        a = tf.tensor4d([0.1, 0.1, 0.1, 0.1], [2, 2, 1, 1], 'float32');
        b = tf.tensor4d([1.1, 1.1, 1.1, 1.1], [2, 2, 1, 1], 'float32');
        res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [0, 0, 0, 0]);
    });
    it('broadcasting Tensor4D shapes - int32', async () => {
        const a = tf.tensor4d([1, 2, 5, 9], [2, 2, 1, 1], 'int32');
        const b = tf.tensor4d([[[[1, 2]], [[3, 4]]], [[[5, 6]], [[7, 8]]]], [2, 2, 1, 2], 'int32');
        const res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [1, 0, 0, 0, 1, 0, 1, 1]);
    });
    it('broadcasting Tensor4D shapes - float32', async () => {
        const a = tf.tensor4d([1.1, 2.1, 5.1, 9.1], [2, 2, 1, 1], 'float32');
        const b = tf.tensor4d([[[[1.1, 2.1]], [[3.1, 4.1]]], [[[5.1, 6.1]], [[7.1, 8.1]]]], [2, 2, 1, 2], 'float32');
        const res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [1, 0, 0, 0, 1, 0, 1, 1]);
    });
    it('NaNs in Tensor4D - float32', async () => {
        const a = tf.tensor4d([1.1, NaN, 0.1, 0.1], [2, 2, 1, 1], 'float32');
        const b = tf.tensor4d([0.1, 1.1, 1.1, NaN], [2, 2, 1, 1], 'float32');
        const res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [1, 0, 0, 0]);
    });
    it('throws when passed a as a non-tensor', () => {
        expect(() => tf.greaterEqual({}, tf.scalar(1)))
            .toThrowError(/Argument 'a' passed to 'greaterEqual' must be a Tensor/);
    });
    it('throws when passed b as a non-tensor', () => {
        expect(() => tf.greaterEqual(tf.scalar(1), {}))
            .toThrowError(/Argument 'b' passed to 'greaterEqual' must be a Tensor/);
    });
    it('accepts a tensor-like object', async () => {
        const a = [1, 4, 5];
        const b = [2, 3, 5];
        const res = tf.greaterEqual(a, b);
        expect(res.dtype).toBe('bool');
        expectArraysClose(await res.data(), [0, 1, 1]);
    });
    it('has gradient', async () => {
        const a = tf.tensor1d([3, 2, 5]);
        const b = tf.tensor1d([4, 1, 5]);
        const dy = tf.ones([3], 'float32');
        const da = tf.grad((a) => tf.greaterEqual(a, b))(a, dy);
        expect(da.dtype).toBe('float32');
        expect(da.shape).toEqual([3]);
        expectArraysClose(await da.data(), [0, 0, 0]);
    });
    it('gradient with clones', async () => {
        const a = tf.tensor1d([3, 2, 5]);
        const b = tf.tensor1d([4, 1, 5]);
        const dy = tf.ones([3], 'float32');
        const da = tf.grad((a) => tf.greaterEqual(a.clone(), b.clone()).clone())(a, dy);
        expect(da.dtype).toBe('float32');
        expect(da.shape).toEqual([3]);
        expectArraysClose(await da.data(), [0, 0, 0]);
    });
    it('should support string comparison', async () => {
        const tensorA = tf.tensor('a', [], 'string');
        const tensorB = tf.tensor(['a', 'b', ''], [3], 'string');
        const result = await tf.greaterEqual(tensorA, tensorB);
        expectArraysEqual(result.shape, [3]);
        expectArraysEqual(await result.data(), [1, 0, 1]);
    });
});
//# 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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, expectArraysEqual} from '../test_util';\n\ndescribeWithFlags('greaterEqual', ALL_ENVS, () => {\n  // Tensor1D:\n  it('Tensor1D - int32', async () => {\n    let a = tf.tensor1d([1, 4, 5], 'int32');\n    let b = tf.tensor1d([2, 3, 5], 'int32');\n    let res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [0, 1, 1]);\n\n    a = tf.tensor1d([2, 2, 2], 'int32');\n    b = tf.tensor1d([2, 2, 2], 'int32');\n    res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [1, 1, 1]);\n\n    a = tf.tensor1d([0, 0], 'int32');\n    b = tf.tensor1d([3, 3], 'int32');\n    res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [0, 0]);\n  });\n  it('Tensor1D - float32', async () => {\n    let a = tf.tensor1d([1.1, 4.1, 5.1], 'float32');\n    let b = tf.tensor1d([2.2, 3.2, 5.1], 'float32');\n    let res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [0, 1, 1]);\n\n    a = tf.tensor1d([2.31, 2.31, 2.31], 'float32');\n    b = tf.tensor1d([2.31, 2.31, 2.31], 'float32');\n    res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [1, 1, 1]);\n\n    a = tf.tensor1d([0.45, 0.123], 'float32');\n    b = tf.tensor1d([3.123, 3.321], 'float32');\n    res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [0, 0]);\n  });\n\n  it('upcasts when dtypes dont match', async () => {\n    const a = [1.1, 4.1, 5];\n    const b = [2.2, 3.2, 5];\n\n    let res = tf.greaterEqual(\n        tf.tensor(a, [3], 'float32'), tf.tensor(b, [3], 'int32'));\n    expect(res.dtype).toBe('bool');\n    expect(res.shape).toEqual([3]);\n    expectArraysClose(await res.data(), [0, 1, 1]);\n\n    res =\n        tf.greaterEqual(tf.tensor(a, [3], 'int32'), tf.tensor(b, [3], 'bool'));\n    expect(res.dtype).toBe('bool');\n    expect(res.shape).toEqual([3]);\n    expectArraysClose(await res.data(), [1, 1, 1]);\n  });\n\n  it('mismatched Tensor1D shapes - int32', () => {\n    const a = tf.tensor1d([1, 2], 'int32');\n    const b = tf.tensor1d([1, 2, 3], 'int32');\n    const f = () => {\n      tf.greaterEqual(a, b);\n    };\n    expect(f).toThrowError();\n  });\n  it('mismatched Tensor1D shapes - float32', () => {\n    const a = tf.tensor1d([1.1, 2.1], 'float32');\n    const b = tf.tensor1d([1.1, 2.1, 3.1], 'float32');\n    const f = () => {\n      tf.greaterEqual(a, b);\n    };\n    expect(f).toThrowError();\n  });\n  it('NaNs in Tensor1D - float32', async () => {\n    const a = tf.tensor1d([1.1, NaN, 2.1], 'float32');\n    const b = tf.tensor1d([2.1, 3.1, NaN], 'float32');\n    const res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [0, 0, 0]);\n  });\n\n  // Tensor2D:\n  it('Tensor2D - int32', async () => {\n    let a = tf.tensor2d([[1, 4, 5], [8, 9, 12]], [2, 3], 'int32');\n    let b = tf.tensor2d([[2, 3, 6], [7, 10, 11]], [2, 3], 'int32');\n    let res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [0, 1, 0, 1, 0, 1]);\n\n    a = tf.tensor2d([[0, 0], [1, 1]], [2, 2], 'int32');\n    b = tf.tensor2d([[0, 0], [1, 1]], [2, 2], 'int32');\n    res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [1, 1, 1, 1]);\n  });\n  it('Tensor2D - float32', async () => {\n    let a = tf.tensor2d([[1.1, 4.1, 5.1], [8.1, 9.1, 12.1]], [2, 3], 'float32');\n    let b =\n        tf.tensor2d([[2.1, 3.1, 6.1], [7.1, 10.1, 11.1]], [2, 3], 'float32');\n    let res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [0, 1, 0, 1, 0, 1]);\n\n    a = tf.tensor2d([[0.2, 0.2], [1.2, 1.2]], [2, 2], 'float32');\n    b = tf.tensor2d([[0.2, 0.2], [1.2, 1.2]], [2, 2], 'float32');\n    res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [1, 1, 1, 1]);\n  });\n  it('broadcasting Tensor2D shapes - int32', async () => {\n    const a = tf.tensor2d([[3], [7]], [2, 1], 'int32');\n    const b = tf.tensor2d([[2, 3, 4], [7, 8, 9]], [2, 3], 'int32');\n    const res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [1, 1, 0, 1, 0, 0]);\n  });\n  it('broadcasting Tensor2D shapes - float32', async () => {\n    const a = tf.tensor2d([[1.1], [7.1]], [2, 1], 'float32');\n    const b =\n        tf.tensor2d([[0.1, 1.1, 2.1], [7.1, 8.1, 9.1]], [2, 3], 'float32');\n    const res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [1, 1, 0, 1, 0, 0]);\n  });\n  it('NaNs in Tensor2D - float32', async () => {\n    const a = tf.tensor2d([[1.1, NaN], [0.1, NaN]], [2, 2], 'float32');\n    const b = tf.tensor2d([[0.1, NaN], [1.1, NaN]], [2, 2], 'float32');\n    const res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [1, 0, 0, 0]);\n  });\n\n  // Tensor3D:\n  it('Tensor3D - int32', async () => {\n    let a =\n        tf.tensor3d([[[1], [4], [5]], [[8], [9], [12]]], [2, 3, 1], 'int32');\n    let b =\n        tf.tensor3d([[[2], [3], [6]], [[7], [10], [11]]], [2, 3, 1], 'int32');\n    let res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [0, 1, 0, 1, 0, 1]);\n\n    a = tf.tensor3d([[[0], [0], [0]], [[1], [1], [1]]], [2, 3, 1], 'int32');\n    b = tf.tensor3d([[[0], [0], [0]], [[1], [1], [1]]], [2, 3, 1], 'int32');\n    res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [1, 1, 1, 1, 1, 1]);\n  });\n  it('Tensor3D - float32', async () => {\n    let a = tf.tensor3d(\n        [[[1.1], [4.1], [5.1]], [[8.1], [9.1], [12.1]]], [2, 3, 1], 'float32');\n    let b = tf.tensor3d(\n        [[[2.1], [3.1], [6.1]], [[7.1], [10.1], [11.1]]], [2, 3, 1], 'float32');\n    let res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [0, 1, 0, 1, 0, 1]);\n\n    a = tf.tensor3d(\n        [[[0.1], [0.1], [0.1]], [[1.1], [1.1], [1.2]]], [2, 3, 1], 'float32');\n    b = tf.tensor3d(\n        [[[0.1], [0.1], [0.1]], [[1.1], [1.1], [1.1]]], [2, 3, 1], 'float32');\n    res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [1, 1, 1, 1, 1, 1]);\n  });\n  it('broadcasting Tensor3D shapes - int32', async () => {\n    const a = tf.tensor3d(\n        [[[1, 0], [2, 3], [4, 5]], [[6, 7], [9, 8], [10, 11]]], [2, 3, 2],\n        'int32');\n    const b =\n        tf.tensor3d([[[1], [2], [3]], [[7], [10], [9]]], [2, 3, 1], 'int32');\n    const res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1]);\n  });\n  it('broadcasting Tensor3D shapes - float32', async () => {\n    const a = tf.tensor3d(\n        [\n          [[1.1, 0.1], [2.1, 3.1], [4.1, 5.1]],\n          [[6.1, 7.1], [9.1, 8.1], [10.1, 11.1]]\n        ],\n        [2, 3, 2], 'float32');\n    const b = tf.tensor3d(\n        [[[1.1], [2.1], [3.1]], [[7.1], [10.1], [9.1]]], [2, 3, 1], 'float32');\n    const res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1]);\n  });\n  it('NaNs in Tensor3D - float32', async () => {\n    const a = tf.tensor3d(\n        [[[1.1], [NaN], [1.1]], [[0.1], [0.1], [0.1]]], [2, 3, 1], 'float32');\n    const b = tf.tensor3d(\n        [[[0.1], [0.1], [1.1]], [[1.1], [0.1], [NaN]]], [2, 3, 1], 'float32');\n    const res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [1, 0, 1, 0, 1, 0]);\n  });\n\n  // Tensor4D:\n  it('Tensor4D - int32', async () => {\n    let a = tf.tensor4d([1, 4, 5, 8], [2, 2, 1, 1], 'int32');\n    let b = tf.tensor4d([2, 3, 6, 7], [2, 2, 1, 1], 'int32');\n    let res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [0, 1, 0, 1]);\n\n    a = tf.tensor4d([0, 1, 2, 3], [2, 2, 1, 1], 'int32');\n    b = tf.tensor4d([0, 1, 2, 3], [2, 2, 1, 1], 'int32');\n    res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [1, 1, 1, 1]);\n\n    a = tf.tensor4d([1, 1, 1, 1], [2, 2, 1, 1], 'int32');\n    b = tf.tensor4d([2, 2, 2, 2], [2, 2, 1, 1], 'int32');\n    res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [0, 0, 0, 0]);\n  });\n  it('Tensor4D - float32', async () => {\n    let a = tf.tensor4d([1.1, 4.1, 5.1, 8.1], [2, 2, 1, 1], 'float32');\n    let b = tf.tensor4d([2.1, 3.1, 6.1, 7.1], [2, 2, 1, 1], 'float32');\n    let res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [0, 1, 0, 1]);\n\n    a = tf.tensor4d([0.1, 1.1, 2.2, 3.3], [2, 2, 1, 1], 'float32');\n    b = tf.tensor4d([0.1, 1.1, 2.2, 3.3], [2, 2, 1, 1], 'float32');\n    res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [1, 1, 1, 1]);\n\n    a = tf.tensor4d([0.1, 0.1, 0.1, 0.1], [2, 2, 1, 1], 'float32');\n    b = tf.tensor4d([1.1, 1.1, 1.1, 1.1], [2, 2, 1, 1], 'float32');\n    res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [0, 0, 0, 0]);\n  });\n  it('broadcasting Tensor4D shapes - int32', async () => {\n    const a = tf.tensor4d([1, 2, 5, 9], [2, 2, 1, 1], 'int32');\n    const b = tf.tensor4d(\n        [[[[1, 2]], [[3, 4]]], [[[5, 6]], [[7, 8]]]], [2, 2, 1, 2], 'int32');\n    const res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [1, 0, 0, 0, 1, 0, 1, 1]);\n  });\n  it('broadcasting Tensor4D shapes - float32', async () => {\n    const a = tf.tensor4d([1.1, 2.1, 5.1, 9.1], [2, 2, 1, 1], 'float32');\n    const b = tf.tensor4d(\n        [[[[1.1, 2.1]], [[3.1, 4.1]]], [[[5.1, 6.1]], [[7.1, 8.1]]]],\n        [2, 2, 1, 2], 'float32');\n    const res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [1, 0, 0, 0, 1, 0, 1, 1]);\n  });\n  it('NaNs in Tensor4D - float32', async () => {\n    const a = tf.tensor4d([1.1, NaN, 0.1, 0.1], [2, 2, 1, 1], 'float32');\n    const b = tf.tensor4d([0.1, 1.1, 1.1, NaN], [2, 2, 1, 1], 'float32');\n    const res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [1, 0, 0, 0]);\n  });\n\n  it('throws when passed a as a non-tensor', () => {\n    expect(() => tf.greaterEqual({} as tf.Tensor, tf.scalar(1)))\n        .toThrowError(/Argument 'a' passed to 'greaterEqual' must be a Tensor/);\n  });\n  it('throws when passed b as a non-tensor', () => {\n    expect(() => tf.greaterEqual(tf.scalar(1), {} as tf.Tensor))\n        .toThrowError(/Argument 'b' passed to 'greaterEqual' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const a = [1, 4, 5];\n    const b = [2, 3, 5];\n    const res = tf.greaterEqual(a, b);\n\n    expect(res.dtype).toBe('bool');\n    expectArraysClose(await res.data(), [0, 1, 1]);\n  });\n\n  it('has gradient', async () => {\n    const a = tf.tensor1d([3, 2, 5]);\n    const b = tf.tensor1d([4, 1, 5]);\n    const dy = tf.ones([3], 'float32');\n    const da = tf.grad((a: tf.Tensor1D) => tf.greaterEqual(a, b))(a, dy);\n\n    expect(da.dtype).toBe('float32');\n    expect(da.shape).toEqual([3]);\n    expectArraysClose(await da.data(), [0, 0, 0]);\n  });\n\n  it('gradient with clones', async () => {\n    const a = tf.tensor1d([3, 2, 5]);\n    const b = tf.tensor1d([4, 1, 5]);\n    const dy = tf.ones([3], 'float32');\n    const da = tf.grad(\n        (a: tf.Tensor1D) => tf.greaterEqual(a.clone(), b.clone()).clone())(\n        a, dy);\n\n    expect(da.dtype).toBe('float32');\n    expect(da.shape).toEqual([3]);\n    expectArraysClose(await da.data(), [0, 0, 0]);\n  });\n\n  it('should support string comparison', async () => {\n    const tensorA = tf.tensor('a', [], 'string');\n    const tensorB = tf.tensor(['a', 'b', ''], [3], 'string');\n    const result = await tf.greaterEqual(tensorA, tensorB);\n\n    expectArraysEqual(result.shape, [3]);\n    expectArraysEqual(await result.data(), [1, 0, 1]);\n  });\n});\n"]}