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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';\n\ndescribeWithFlags('reverse2d', ALL_ENVS, () => {\n it('reverse a 2D array at axis [0]', async () => {\n const axis = [0];\n const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);\n const result = tf.reverse2d(a, axis);\n\n expect(result.shape).toEqual(a.shape);\n expectArraysClose(await result.data(), [4, 5, 6, 1, 2, 3]);\n });\n\n it('reverse a 2D array at axis [1]', async () => {\n const axis = [1];\n const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);\n const result = tf.reverse2d(a, axis);\n\n expect(result.shape).toEqual(a.shape);\n expectArraysClose(await result.data(), [3, 2, 1, 6, 5, 4]);\n });\n\n it('reverse a 2D array odd rows and columns at axis [0, 1]', async () => {\n const axis = [0, 1];\n const a = tf.tensor2d(\n [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], [3, 5]);\n const result = tf.reverse2d(a, axis);\n\n expect(result.shape).toEqual(a.shape);\n expectArraysClose(\n await result.data(),\n [15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1]);\n });\n\n it('throws error with invalid input', () => {\n // tslint:disable-next-line:no-any\n const x: any = tf.tensor1d([1, 20, 300, 4]);\n expect(() => tf.reverse2d(x, [0])).toThrowError();\n });\n\n it('throws error with invalid axis param', () => {\n const x = tf.tensor2d([1, 20, 300, 4], [1, 4]);\n expect(() => tf.reverse2d(x, [2])).toThrowError();\n expect(() => tf.reverse2d(x, [-3])).toThrowError();\n });\n\n it('throws error with non integer axis param', () => {\n const x = tf.tensor2d([1, 20, 300, 4], [1, 4]);\n expect(() => tf.reverse2d(x, [0.5])).toThrowError();\n });\n\n it('grad', async () => {\n const a = tf.tensor2d([[1, 2, 3], [4, 5, 6]]);\n const dy = tf.tensor2d([[10, 20, 30], [40, 50, 60]]);\n const da = tf.grad((a: tf.Tensor2D) => tf.reverse2d(a))(a, dy);\n expect(da.shape).toEqual([2, 3]);\n expectArraysClose(await da.data(), [60, 50, 40, 30, 20, 10]);\n });\n\n it('grad with reverse(axis=0)', async () => {\n const a = tf.tensor2d([[1, 2, 3], [4, 5, 6]]);\n const dy = tf.tensor2d([[10, 20, 30], [40, 50, 60]]);\n const da = tf.grad((a: tf.Tensor2D) => tf.reverse2d(a, 0))(a, dy);\n expect(da.shape).toEqual([2, 3]);\n expectArraysClose(await da.data(), [40, 50, 60, 10, 20, 30]);\n });\n\n it('grad with reverse(axis=1)', async () => {\n const a = tf.tensor2d([[1, 2, 3], [4, 5, 6]]);\n const dy = tf.tensor2d([[10, 20, 30], [40, 50, 60]]);\n const da = tf.grad((a: tf.Tensor2D) => tf.reverse2d(a, 1))(a, dy);\n expect(da.shape).toEqual([2, 3]);\n expectArraysClose(await da.data(), [30, 20, 10, 60, 50, 40]);\n });\n\n it('accepts a tensor-like object', async () => {\n const axis = [0];\n const a = [[1, 2, 3], [4, 5, 6]]; // 2x3\n const result = tf.reverse2d(a, axis);\n\n expect(result.shape).toEqual([2, 3]);\n expectArraysClose(await result.data(), [4, 5, 6, 1, 2, 3]);\n });\n});\n"]} |